During the Arctic campaign, NASA-funded Saildrones SD-1036 and SD-1037 undertook transects in the Chukchi Sea, approaching the sea ice edge to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.
The Saildrone Arctic 2019 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies. ", - "license": "proprietary" - }, - { - "id": "SAILDRONE_ARCTIC_2021_1", - "title": "Saildrone 2021 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2021-07-06", - "end_date": "2021-10-21", - "bbox": "-168, 65, -164.5, 71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2254805714-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2254805714-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SAILDRONE_ARCTIC_2021_1", - "description": "The Saildrone Arctic 2021 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2021 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 76-day cruise in the Bering and Chukchi Seas, spanning from 6 July 2021 to 20 September 2021. The primary mission objective for 2021 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, with special emphasis on better understanding the spatial/temporal scales of air-sea covariance in the Chukchi Sea, which was accomplished by running a series of parallel tracks using the two Saildrones at varying horizontal offsets. Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/2021_Saildrone_Arctic_Cruise_Report.pdf
During the Arctic campaign, Saildrones SD-1057 and SD-1058 ran transects in the Chukchi Sea, approaching the sea ice edge (up to 50 km away) to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents.\\ The Saildrone Arctic 2021 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses two netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.
The Saildrone Arctic 2021 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses two netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies. ", - "license": "proprietary" - }, - { - "id": "SAILDRONE_ARCTIC_2022_1", - "title": "Saildrone 2022 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project", - "catalog": "POCLOUD STAC Catalog", - "state_date": "2022-06-18", - "end_date": "2022-08-17", - "bbox": "-168.5, 65.2, -157.2, 71.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2746559549-POCLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2746559549-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SAILDRONE_ARCTIC_2022_1", - "description": "The Saildrone Arctic 2022 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2022 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 60-day cruise in the Bering and Chukchi Seas, spanning from 18 June 2022 to 17 August 2022. The primary mission objective for 2022 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, specifically in collaboration with the Distributed Biological Observatory (DBO; https://www.pmel.noaa.gov/dbo/; https://dbo.cbl.umces.edu/). Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2022_Arctic_Cruise_Report.pdf
During the Arctic campaign, Saildrones SD-1041 and SD-1046 undertook distinct trajectories to cover designated areas. SD-1041 traversed repeat transects from Point Hope, AK southwestward to near the International Date Line, following DBO line #3 (https://dbo.cbl.umces.edu/images/Frey_DBOmap_IceEdge2022.png). In contrast, SD-1046 ventured northward to DBO line #4 and, upon sea ice retreat, proceeded further north to DBO line #5. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.
The Saildrone Arctic 2022 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.",
- "license": "proprietary"
- },
- {
- "id": "SAILDRONE_ATOMIC_1.0",
- "title": "Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2020-01-17",
- "end_date": "2020-03-02",
- "bbox": "-59.4, 7.4, -48.6, 12.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772162-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772162-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SAILDRONE_ATOMIC_1.0",
- "description": "Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone ATOMIC (Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign) campaign involved the deployment of a fleet of saildrones, jointly funded by NASA and NOAA, in the Atlantic waters offshore of Barbados over a 45 day period from 17 January to 2 March 2020. The goal was to understand the Ocean-Atmosphere interaction particularly over the mesoscale ocean eddies in that region. The saildrones were equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone ATOMIC dataset is comprised of two data files for each of the three NASA-funded saildrones deployed, one for the surface observations and one for the ADCP measuements. The surface data files contain saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) spanning the entire cruise at 1 minute temporal resolution. The ADCP files for each saildrone are at 5 minute resolution for the duration of the deployments. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification.",
- "license": "proprietary"
- },
- {
- "id": "SAILDRONE_BAJA_SURFACE_1.0",
- "title": "Saildrone Baja field campaign surface and ADCP measurements",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-04-11",
- "end_date": "2018-06-11",
- "bbox": "-125.55, 28.01, -115.52, 37.82",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772165-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772165-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SAILDRONE_BAJA_SURFACE_1.0",
- "description": "Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone Baja campaign was a 60-day cruise from San Francisco Bay, down along the US/Mexico coast to Guadalupe Island and back again over the period 11 April 2018 to 11 June 2018. Repeat surveys were taken around NDBC moored buoys, and during the final week of the cruise a targeted front was sampled. Scientific objectives included studies of upwelling and frontal region dynamics, air-sea interactions, and diurnal warming effects, while its validation objectives included establishing the utility of data from the saildrone platform for assessment of satellite data accuracy and model assimilation. During the Baja campaign, the single deployed saildrone was equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone Baja dataset is comprised of one data file with the saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) for the entire cruise at 1 minute temporal resolution. A second file contains the ADCP current vector data that is depth-resolved to 100m at 2m intervals and binned temporally at 5 minute resolution. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification.",
- "license": "proprietary"
- },
{
"id": "SAM2_AERO_PRF_NAT_1",
"title": "The Stratospheric Aerosol Measurement II (SAM II) Data set (SAM2_AERO_PRF_NAT)",
@@ -128218,266 +113294,6 @@
"description": "This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux.",
"license": "proprietary"
},
- {
- "id": "SASSIE_L1_SWIFT_V1_1",
- "title": "SASSIE Arctic Field Campaign L1 SWIFT Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-10-31",
- "bbox": "-153.6, 72, -145.5, 73.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2580152405-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2580152405-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SASSIE_L1_SWIFT_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Level 1 data are available as compressed files containing graphics of the measurements alongside MATLAB and NetCDF files. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L1_WAVEGLIDER_V1_1",
- "title": "SASSIE Arctic Field Campaign L1 Wave Glider Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-10-31",
- "bbox": "-170.5, 67.46, -138, 75.75",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2580179397-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2580179397-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L1_WAVEGLIDER_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. L1 data are available as a compressed file containing graphics of the measurements alongside MATLAB data files. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_ALTO_ALAMO_FLOATS_V1_1",
- "title": "SASSIE Arctic Field Campaign ALTO/ALAMO Profiling Float Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-08",
- "end_date": "2022-10-15",
- "bbox": "-156, 71, -145, 73.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2638311700-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2638311700-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SASSIE_L2_ALTO_ALAMO_FLOATS_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains temperature and salinity measurements collected by ALTO and Air Launched Autonomous Micro Observer (ALAMO) profiling floats deployed in the Beaufort Sea. ALTO floats had ice-avoidance firmware, meaning that they stopped surfacing and transmitting data once surface temperatures dropped to near-freezing values (indicating the presence of sea ice). They will hopefully reappear in summer 2023 to report data from the previous ice-covered season. ALAMO floats did not have ice-avoidance, in order to ensure that they reported data as long as possible during ice freeze-up. As a result, they will likely not survive over the winter. Future versions if this dataset may include data collected after Fall 2022. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_DRIFTER_UPTEMPO_V1_1",
- "title": "SASSIE Arctic Field Campaign Drifter Hydrography Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2023-03-14",
- "bbox": "-155.1, 71, -121.8, 80",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2637349379-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2637349379-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SASSIE_L2_DRIFTER_UPTEMPO_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature and salinity data collected by surface drifting buoys (called UpTempO or Hydrobuoys, interchangeably) deployed in the Beaufort Sea. Each buoy has a different configuration of sensors, and records to a maximum of 60 m depth. Drifters were left at sea after the completion of the field deployment and are recording data into March 2023. Future versions of this dataset will provide updated data with final quality control and additional parameters. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_DRIFTER_UPTEMPO_V2p_2p",
- "title": "SASSIE Arctic Field Campaign Drifter Hydrography Data Fall 2022 Version 2p",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2023-06-30",
- "bbox": "-155.1, 71, -121.8, 80",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2775138049-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2775138049-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SASSIE_L2_DRIFTER_UPTEMPO_V2p_2p",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature and salinity data collected by surface drifting buoys (called UpTempO or Hydrobuoys, interchangeably) deployed in the Beaufort Sea. Each buoy has a different configuration of sensors, and records to a maximum of 60 m depth. Drifters were left at sea after the completion of the field deployment and are recording data into March 2023. Version 2p data has major quality control performed. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_JET_SSP_V1_1",
- "title": "SASSIE Arctic Field Campaign Jet Surface Salinity Profiler Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-10",
- "end_date": "2022-09-26",
- "bbox": "-151, 72, -144, 73.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2624096959-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2624096959-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SASSIE_L2_JET_SSP_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains near-surface air pressure, temperature, and winds, as well as ocean temperature and salinity measurements collected using a Jet Surface Salinity Profiler (Jet-SSP). The Jet-SSP is a remotely operated kayak containing various instrumentation. It moved along various horizontal trajectories each deployment, traveling up to 5 kts as it collected data. Data are available in NetCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_PALS_V1_1",
- "title": "SASSIE Arctic Field Campaign PALS Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-14",
- "end_date": "2022-09-20",
- "bbox": "-170.5, 67.46, -138, 75.75",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3147781229-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3147781229-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_PALS_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Passive-Active L-Band System (PALS) is an airborne microwave radiometer that senses ocean temperature and surface wind speed. The brightness temperature data is obtained at 1.4GHz using the PALS conical scanner, with the raw data sampled at 1ms and gridded over an approximate 2x2km grid. Several quality control steps were done to remove any scan dependent biases, radio frequency interference, wind-speed dependencies. Calibration of the sensor was done with respect to special aircraft maneuvers as well as in-situ samples. Brightness temperature were converted to salinity via the Klein-Swift salinity retrieval model. Data is available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SBAND_ML_V1_1",
- "title": "SASSIE Arctic Field Campaign Summary Ice Concentration Rankings from ML analysis of SBAND Images Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-08",
- "end_date": "2022-09-30",
- "bbox": "-170.5, 67.5, -138, 75.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3181024015-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3181024015-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SBAND_ML_V1_1",
- "description": "This dataset contains ice concentration rankings of S-band images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Ice concentration rankings ranging from 0 to 3 determined by VGG19 Machine Learning Model. L2 summary data are available in NetCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_ADCP_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard Acoustic Doppler Current Profiler Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-08",
- "end_date": "2022-10-04",
- "bbox": "-170, 65, -144, 75",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2775118883-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2775118883-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_ADCP_V1_1",
- "description": "This dataset contains measurements of shipboard ocean current speed vertical shear from an acoustic doppler current profiler (ADCP) during the Salinity and Stratification at the Sea Ice Edge (SASSIE) field campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_CASTAWAY_CTD_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard Castaway CTD Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2022-09-19",
- "bbox": "-152.5, 72, -145, 73.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2624100570-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2624100570-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_CASTAWAY_CTD_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains profiles of upper ocean temperature, salinity, and density taken with a Shipboard CastAway Conductivity-Temperature-Depth instrument (CastAway-CTD). A total of 254 profiles were taken over the sampling period at various locations, typically every 30 minutes while the ship was underway, with a mean depth of 45m. Data are available in NetCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_DELTA_18O_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard Delta-18O Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2022-10-03",
- "bbox": "-168.1, 66, -144.8, 73.3",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2675866206-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675866206-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_DELTA_18O_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains delta-18O measurements from sea water and ice. Delta-18O is the ratio of stable isotopes oxygen-18 (18O) and oxygen-16. Water samples were collected from either a GoFlo bottle lowered from the side of the ship, or the outflow of the Salinity Snake. Ice samples (dimension ice_obs) were collected during two ice stations where augur tailings were collected and melted. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_METEOROLOGY_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard Meteorology Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-06",
- "end_date": "2022-10-01",
- "bbox": "-166, 69, -144.8, 73.55",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2675923537-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2675923537-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_METEOROLOGY_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains shipboard meteorology and air-sea flux measurements. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_SALINITY_SNAKE_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard Salinity Snake Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2022-10-03",
- "bbox": "-168.1, 66, -144.8, 73.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684906861-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684906861-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_SALINITY_SNAKE_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains salinity and temperature measurements collected by a shipboard salinity snake. The salinity snake system consisted of a ship-mounted boom with a length of 10m to provide sampling of undisturbed water at a depth of 1-2cm. Salinity data are delayed by 40s, which is the average residence time in the hose, pump, and shipboard system before being analyzed. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_TSG_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard Thermosalinograph Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-05",
- "end_date": "2022-10-03",
- "bbox": "-169, 64.5, -144, 73.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2624105045-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2624105045-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_TSG_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains in-situ ocean temperature and salinity at 4m depth measured via a ship thermosalinograph (TSG). The TSG system consisted of a SBE21 SeaCAT TSG, a SBE38 temperature sensor, and a debubbler. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SHIPBOARD_UCTD_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard uCTD Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2022-09-29",
- "bbox": "-153, 72.02, -144.5, 73.52",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2622954412-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2622954412-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SHIPBOARD_UCTD_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains in-situ profiles of upper ocean temperature and salinity taken with a Shipboard Underway Conductivity-Temperature-Depth instrument (uCTD). A total of 2,246 profiles were taken over the sampling period, with mean depth of 100 m and mean horizontal spacing between profiles of ~800 m. Profiling with the uCTD typically occurred as the ship was moving at 1-3 m/s. For higher sea ice concentrations (10-30 %), the ship stopped every ~30 minutes to collect a profile. The measurements have been gridded onto a uniformly spaced 0.1 dbar grid from the sea surface to 200 dbar seawater pressure, and collected into a single netCDF file, where each observation in the time dimension corresponds to a single cast.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_SWIFT_V1_1",
- "title": "SASSIE Arctic Field Campaign SWIFT Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-09",
- "end_date": "2022-09-30",
- "bbox": "-153.6, 72, -145.5, 73.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2637402374-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2637402374-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_SWIFT_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_UNDER_ICE_FLOAT_V1_1",
- "title": "SASSIE Arctic Field Campaign Under Ice Float Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-10",
- "end_date": "2022-10-23",
- "bbox": "-156, 73, -152, 74",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2637328093-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2637328093-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_UNDER_ICE_FLOAT_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature, salinity, and acoustic range measurements collected by an autonomous under ice float deployed in the Beaufort Sea from September 10, 2022 to October 22, 2022. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L2_WAVEGLIDERS_V1_1",
- "title": "SASSIE Arctic Field Campaign Wave Glider Data Fall 2022 Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-12",
- "end_date": "2022-09-30",
- "bbox": "-156, 70, -142, 73.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2637536168-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2637536168-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L2_WAVEGLIDERS_V1_1",
- "description": "The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L3_SHIPBOARD_SBAND_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard S-Band Radar Level 3 Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-08",
- "end_date": "2022-09-30",
- "bbox": "-170.5, 67.5, -138, 75.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773222765-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773222765-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L3_SHIPBOARD_SBAND_V1_1",
- "description": "This dataset contains images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Images were then georeferenced based on range, heading, image orientation, and ship's GPS position. L3 images are available in GeoTIFF format.",
- "license": "proprietary"
- },
- {
- "id": "SASSIE_L4_SHIPBOARD_SBAND_V1_1",
- "title": "SASSIE Arctic Field Campaign Shipboard S-Band Radar Level 4 Data Fall 2022",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-09-08",
- "end_date": "2022-09-30",
- "bbox": "-170.5, 67.5, -138, 75.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2773232610-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2773232610-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SASSIE_L4_SHIPBOARD_SBAND_V1_1",
- "description": "This dataset contains images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Images were then georeferenced based on range, heading, image orientation, and ship's GPS position. L4 images are available in GeoTIFF format and contain additional processing to classify pixels as sea ice, not sea ice, or not data.",
- "license": "proprietary"
- },
{
"id": "SAV_Plymouth_Bay_0",
"title": "Submersed Aquatic Vegetation (SAV) over Buttermilk and Plymouth Bays, Massachusetts",
@@ -128933,32 +113749,6 @@
"description": "The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s. This metadata record pertains to the \"filtered\" version of the data files. These files contain position estimates that have been processed using a state-space model in order to estimate locations at regular time intervals. For technical details of the filtering process, consult the data paper. The filtering code can be found in the https://github.com/SCAR/RAATD repository. This data set comprises one metadata csv file that describes all deployments, along with data files (3 files for each of 17 species). For each species there is: - an RDS file that contains the fitted filter model object and model predictions (this file is RDS format that can be read by the R statistical software package) - a PDF file that shows the quality control results for each individual model - a CSV file containing the interpolated position estimates For details of the file contents and formats, consult the data paper. The data are also available in a standardized version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised) that contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations) without state-space filtering.",
"license": "proprietary"
},
- {
- "id": "SCATSAT1_ESDR_ANCILLARY_L2_V1.1_1.1",
- "title": "SCATSAT-1 ESDR Level 2 Ancillary Ocean Surface Fields Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-04-01",
- "end_date": "2021-03-01",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706524255-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706524255-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SCATSAT1_ESDR_ANCILLARY_L2_V1.1_1.1",
- "description": "This dataset contains the first science quality release (post-provisional after v1.0) of the MEaSUREs-funded Earth Science Data Record (ESDR) of ancillary data corresponding to the SCATSAT-1 Level 2 (L2) data products, interpolated in space and time to the scatterometer observations. These ancillary files include: i) ocean surface wind fields from ERA-5 short-term forecast (removed from the analyses times to reduce impacts from assimilated scatterometer retrievals at the beginning of the forecast); ii) collocated in space and time estimations of precipitation from the GPM IMERG product; iii) estimation of the surface currents from the GlobCurrent project. These auxiliary fields are included to complement the scatterometer observation fields and to help in the evaluation process. The modeled ocean surface auxiliary fields are provided on a non-uniform grid within the native L2 SCATSAT-1 sampled locations at a nominal 12.5 km pixel resolution. Each file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit.
The dataset represents the first science quality release of this product with funding from the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) improved variable metadata, 2) removed the GlobCurrent stokes drift variables, and 3) provided data source metadata including DOIs for the ERA-5, IMERGE, and GlobCurrent data sources. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).",
- "license": "proprietary"
- },
- {
- "id": "SCATSAT1_ESDR_L2_WIND_STRESS_V1.1_1.1",
- "title": "SCATSAT-1 Scatterometer Inter-Calibrated ESDR Level 2 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Vectors Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-04-01",
- "end_date": "2021-03-01",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2706520933-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2706520933-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SCATSAT1_ESDR_L2_WIND_STRESS_V1.1_1.1",
- "description": "This dataset contains ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations aboard ScatSat-1, representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. This product from ScatSat-1 has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, MetOp-B, and QuikScat satellites. The wind vector and stress retrievals are provided on a non-uniform grid within the swath (Level 2 (L2) products) at 12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit.
The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) increased data coverage, 2) improved quality control, and 3) new global metadata attributes featuring revolution number, equator crossing longitude, and equator crossing time (UTC). The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).",
- "license": "proprietary"
- },
{
"id": "SCI_NL__1P_NA",
"title": "Envisat SCIAMACHY Geo-located atmospheric spectra [SCI_NL__1P]",
@@ -129362,19 +114152,6 @@
"description": "SEAC4RS_jValue_AircraftInSitu_DC8_Data are in-situ photolysis rate (j value) data collected onboard the DC8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest.",
"license": "proprietary"
},
- {
- "id": "SEAGLIDER_GUAM_2019_V1",
- "title": "Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-10-03",
- "end_date": "2020-01-15",
- "bbox": "143.63035, 13.39476, 144.613, 14.71229",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/SEAGLIDER_GUAM_2019_V1",
- "description": "This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14\u00b0N 144\u00b0E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington.",
- "license": "proprietary"
- },
{
"id": "SEAHAWK_VALIDATION_0",
"title": "Continuing the Mission: SeaHawk-1 Ocean Color CubeSat Nanosatellite",
@@ -129427,19 +114204,6 @@
"description": "Measurements made in the northwest Atlantic and northeast Pacific oceans between 2008 and 2009.",
"license": "proprietary"
},
- {
- "id": "SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL2205_2205",
- "title": "MEaSUREs Gridded Sea Surface Height Anomalies Version 2205",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1992-10-01",
- "end_date": "",
- "bbox": "-180, -80, 180, 80",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2270392799-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2270392799-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D/SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL2205_2205",
- "description": "This dataset provides gridded Sea Surface Height Anomalies (SSHA) above a mean sea surface, on a 1/6th degree grid every 5 days. It contains the fully corrected heights, with a delay of up to 3 months. The gridded data are derived from the along-track SSHA data of TOPEX/Poseidon, Jason-1, Jason-2, Jason-3 and Jason-CS (Sentinel-6) as reference data from the level 2 along-track data found at https://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_CYCLES_V51, plus ERS-1, ERS-2, Envisat, SARAL-AltiKa, CryoSat-2, Sentinel-3A, Sentinel-3B, depending on the date, from the RADS database. The date given in the grid files is the center of the 5-day window. The grids were produced from altimeter data using Kriging interpolation, which gives best linear prediction based upon prior knowledge of covariance.",
- "license": "proprietary"
- },
{
"id": "SEED_0",
"title": "SEED Project Gulf of Mexico optical data",
@@ -129973,45 +114737,6 @@
"description": "Sentinel-1 SLC interferometric products generated by JPL using ISCE v2.0.0, delivered by ASF",
"license": "proprietary"
},
- {
- "id": "SEVIRI_IO_SST-OSISAF-L3C-v1.0_1.0",
- "title": "GHRSST Level 3C Indian-Ocean (IO) sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG in GDS2 format produced by OSISAF",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2017-03-28",
- "end_date": "",
- "bbox": "-18.5, -60, 101.5, 60",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036877550-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036877550-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_IO_SST-OSISAF-L3C-v1.0_1.0",
- "description": "This dataset is produced by the Ocean and Sea Ice Satellite Application Facility (OSI SAF) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) instrument onboard the Meteosat Second Generation (MSG-1), Meteosat-8 satellite (launched on 28 August 2002). The dataset covers the Indian Ocean region with latitude of 60S-60N and longitude of 101.5E-18.5W. Level-3C SST, in the NetCDF format recommended by Group for High Resolution Sea Surface Temperature (GHRSST), is identical to Level-2P GHRSST products, 3 refers to gridded products and C to the fact that hourly products result from compositing 15 minutes (MSG) or 30 minutes (GOES-E) data. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), OSI SAF is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating all 15-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.",
- "license": "proprietary"
- },
- {
- "id": "SEVIRI_SST-OSISAF-L3C-v1.0_1",
- "title": "GHRSST Level 3C Atlantic sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG at 0 degree longitude (GDS V2) produced by OSI SAF",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2004-06-01",
- "end_date": "",
- "bbox": "-60, -60, 60, 60",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878243-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878243-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_SST-OSISAF-L3C-v1.0_1",
- "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Eastern Atlantic Region from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-3) satellites (launched 5 July 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 60W-60E) SST fields obtained by aggregating all 15 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.",
- "license": "proprietary"
- },
- {
- "id": "SEVIRI_SST_DR-OSISAF-L3C-v1.0_1.0",
- "title": "GHRSST L3C hourly Atlantic reprocessed sub-skin sea surface temperature data record v1.0 from SEVIRI on MSG produced by OSISAF",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2004-01-19",
- "end_date": "2012-12-31",
- "bbox": "-60, -60, 60, 60",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2157151105-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2157151105-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D%3D/SEVIRI_SST_DR-OSISAF-L3C-v1.0_1.0",
- "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Eastern Atlantic Region from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the MSG satellites (Meteosat-8 and Meteosat-9). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) has reprocessed SST products in (long) delayed-mode from MSG/SEVIRI. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm and the cloud mask (CM) from OSI SAF. Atmospheric profiles of water vapor and temperature from a numerical weather prediction (NWP) model, OSTIA Sea Surface Temperature re-analysis and analysis, together with a radiative transfer model (RTTOV), are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15-minute slot is processed at full satellite resolution. The products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 60W-60E) SST fields obtained by aggregating all available 15-minute SST data into hourly files with priority being given to the value closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.",
- "license": "proprietary"
- },
{
"id": "SFC_NITROGEN_DIOXIDE_CONC_1",
"title": "Nitrogen Dioxide Surface-Level Annual Average Concentrations V1 (SFC_NITROGEN_DIOXIDE_CONC) at GES DISC",
@@ -130883,19 +115608,6 @@
"description": "The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER workflow capable of generating experimental sample data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, and snow, (b) the archived algorithm steps (as OGC Application Packages) used to generate products at each step of the workflow, (c) a small number of experimental sample data products produced by the workflow which are based on the Airborne Visible/Infrared Imaging Spectrometer-Classic (AVIRIS or AVIRIS-CL) instrument, and (d) instructions for reproducing the sample products included in this dataset. DISCLAIMER: This collection contains experimental workflows, experimental community algorithms, and experimental sample data products to demonstrate the capabilities of an end-to-end processing system. The experimental sample data products provided have not been fully validated and are not intended for scientific use. The community algorithms provided are placeholders which can be replaced by any user's algorithms for their own science and application interests. These algorithms should not in any capacity be considered the algorithms that will be implemented in the upcoming Surface Biology and Geology mission.",
"license": "proprietary"
},
- {
- "id": "SIZEX-89-SAR_Not provided",
- "title": "Airborne X- and C-band SAR Images of Sea Ice in the Barents Sea",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1989-02-15",
- "end_date": "1989-02-27",
- "bbox": "15, 74, 25, 77",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214584391-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214584391-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/SIZEX-89-SAR_Not%20provided",
- "description": "SIZEX-89 was an official pre-launch ERS-1 program where the main objectives were to perform ERS-1 type sensors signature studies of different ice types in order to develop SAR algorithms for ice variables such as ice types, ice concentrations and ice kinematics. SIZEX-89 was a multidisciplinary, international winter experiment carried out in the Barents and the Greenland Seas during February and March 1989. During the experiment, 130 CCT tape of airborne X-band and C-band SAR data were obtained by the CCRS CV-580 in the Barents Sea, in February 1989. Remote Sensing, oceanographical, ocean acoustical, meteorological and sea ice data were collected. Several platforms were used: one ice-strengthened vessel (R/V Polarbjorn), one open ocean ship (R/V Hakon Mosby), helicopter drifting buoys, bottom-moored buoys, aircraft and satellites (NOAA, DMSP). In addition to data collection, an ice-forecasting model was run operationally to predict ice motion, ice thickness and ice concentration. The integrated data set obtained in SIZEX-89 is a pilot data set suitable to develop and improve methods for ice monitoring and prediction.",
- "license": "proprietary"
- },
{
"id": "SLAR_Not provided",
"title": "Side Looking Airborne Radar (SLAR) Imagery",
@@ -130922,71 +115634,6 @@
"description": "This dataset contains estimated gross primary productivity (GPP), photosynthetically active radiation (PAR), soil adjusted near infrared reflectance of vegetation (SANIRv), the fraction of C4 crops in vegetation (fC4), and their uncertainties for the conterminous United States (CONUS) from 2000 to 2019. The daily estimates are SatelLite Only Photosynthesis Estimation (SLOPE) products at 250-m resolution. There are three distinct features of the GPP estimation algorithm: (1) SLOPE couples machine learning models with MODIS atmosphere and land products to accurately estimate PAR, (2) SLOPE couples gap-filling and filtering algorithms with surface reflectance acquired by both Terra and Aqua MODIS satellites to derive a soil-adjusted NIRv (SANIRv) dataset, and (3) SLOPE couples a temporal pattern recognition approach with a long-term Crop Data Layer (CDL) product to predict dynamic C4 crop fraction. PAR, SANIRv and C4 fraction are used to drive a parsimonious model with only two parameters to estimate GPP, along with a quantitative uncertainty, on a per-pixel and daily basis. The slope GPP product has an R2 = 0.84 and a root-mean-square error (RMSE) of 1.65 gC m-2 d-1.",
"license": "proprietary"
},
- {
- "id": "SMAP_JPL_L2B_NRT2_SSS_CAP_V5_5.0",
- "title": "JPL SMAP Level 2B Near Real-time CAP Sea Surface Salinity V5.0 Validated Dataset (2 hour latency)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2681262364-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2681262364-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/SMAP_JPL_L2B_NRT2_SSS_CAP_V5_5.0",
- "description": "The SMAP-SSS V5.0, level 2B (NRT CAP) dataset produced by the Jet Propulsion Laboratory Combined Active-Passive (CAP) project , is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) and extreme winds, derived from the NASA's Soil Moisture Active Passive (SMAP) mission launched on January 31, 2015. This mission, initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle.
The dataset includes derived SMAP SSS, SSS uncertainty, wind speed and direction data for extreme winds, as well as brightness temperatures for each radiometer polarization. Furthermore, it contains ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. This broad range of parameters stems from the observatory's version 5.0 (V5) CAP retrieval algorithm, initially developed for the Aquarius/SAC-D mission and subsequently extended to SMAP. Datafrom April 1, 2015 to present, is available with a latency of about 6 hours. The observations are global, provided on a 25km swath grid with an approximate spatial resolution of 60 km. Each data file covers one 98-minute orbit, with 15 files generated per day. The data are based on the near-real-time SMAP V5 Level-1 Brightness Temperatures (TB) and benefits from an enhanced calibration methodology, which improves the absolute radiometric calibration and minimizes biases between ascending and descending passes. These improvements also enrich the applicability of SMAP Level-1 data for other uses, such as further sea surface salinity and wind assessments. Due to a malfunction of the SMAP scatterometer on July 7, 2015, collocated wind speed data has been utilized for the necessary surface roughness correction for salinity retrieval.
This JPL SMAP-SSS V5.0 dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature, it achieves global coverage in approximately three days , enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth\u2019s hydrological cycle, ocean circulation, and climate change.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_JPL_L2B_NRT_SSS_CAP_V5_5.0",
- "title": "JPL SMAP Level 2B Near Real-time CAP Sea Surface Salinity V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208418228-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208418228-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/SMAP_JPL_L2B_NRT_SSS_CAP_V5_5.0",
- "description": "This is the PI-produced JPL SMAP-SSS V5.0, level 2B NRT CAP, validated sea surface salinity (SSS) and extreme winds orbital/swath product from the NASA Soil Moisture Active Passive (SMAP) observatory available in near real-time with a latency of about 6 hours. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. The JPL SMAP-SSS L2B CAP NRT product includes data for a range of parameters: derived SMAP sea surface salinity, SSS uncertainty and wind speed/direction data for extreme winds, brightness temperatures for each radiometer polarization, ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing, with a 6 hour latency in processing and availability. Observations are global in extent and provided at 25km swath grid with an approximate spatial resolution of 60 km.The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_JPL_L2B_SSS_CAP_V5_5.0",
- "title": "JPL SMAP Level 2B CAP Sea Surface Salinity V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-03-31",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208420167-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208420167-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/SMAP_JPL_L2B_SSS_CAP_V5_5.0",
- "description": "This is the PI-produced JPL SMAP-SSS V5.0, level 2B CAP, validated sea surface salinity (SSS) and extreme winds orbital/swath product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. The JPL SMAP-SSS L2B CAP product includes data for a range of parameters: derived SMAP sea surface salinity, SSS uncertainty and wind speed/direction data for extreme winds, brightness temperatures for each radiometer polarization, ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing, with a 3 day latency in processing and availability. Observations are global in extent and provided at 25km swath grid with an approximate spatial resolution of 60 km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_JPL_L3_SSS_CAP_8DAY-RUNNINGMEAN_V5_5.0",
- "title": "JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-30",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208422957-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208422957-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/SMAP_JPL_L3_SSS_CAP_8DAY-RUNNINGMEAN_V5_5.0",
- "description": "This is the PI-produced JPL SMAP-SSS V5.0 CAP, 8-day running mean, level 3 mapped, sea surface salinity (SSS) product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. Daily data files for this L3 product are based on SSS averages spanning an 8-day moving time window. Associated file variables include: derived SSS with associated uncertainties and wind speed data from SMAP, ancillary ice concentration and HYCOM surface salinity data. SMAP data begins on April 1, 2015 and is ongoing, with a 7-day latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with an approximate spatial resolution of 60km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_JPL_L3_SSS_CAP_MONTHLY_V5_5.0",
- "title": "JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image Monthly V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208423975-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208423975-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/SMAP_JPL_L3_SSS_CAP_MONTHLY_V5_5.0",
- "description": "This is the PI-produced JPL SMAP-SSS V5.0 CAP, level 3, monthly mapped sea surface salinity (SSS) product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. L3 monthly product file variables include: derived SSS with associated uncertainties and wind speed from SMAP and ancillary surface salinity from HYCOM. SMAP data begins on April 1, 2015 and is ongoing, with a 1 month latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with an approximate spatial resolution of 60km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
{
"id": "SMAP_L1_L3_ANC_GEOS_1",
"title": "Soil Moisture Active Passive (SMAP) L1-L3 Ancillary GEOS Data V001",
@@ -130996,7 +115643,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539078443-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539078443-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L1_L3_ANC_GEOS_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L1_L3_ANC_GEOS_1",
"description": "This ancillary SMAP product contains three dynamic GMAO GEOS-5 modeled data sets. Each data set contains surface and atmospheric parameters pertinent to SMAP provided in 1) hourly, 2) 3-hour, and 3) averaged over 3-hour intervals.",
"license": "proprietary"
},
@@ -131009,7 +115656,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129339-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129339-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L1_L3_ANC_NOAA_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L1_L3_ANC_NOAA_1",
"description": "This ancillary SMAP product contains six dynamic data sets originally produced by NOAA or NOAA-affiliated organizations. 1) NCEP Geophysical Forecast System modeled data provided in 6-hour time steps 2) Daily Reynolds Sea Surface Temperature data 3) Snow Cover data from NOAA Interactive Multisensor Snow and Ice Mapping System 4) NOAA Solar Radio Flux 5) GPS-derived total electron content used to compute the Faraday rotation correction for the SMAP radar 6) Instantaneous wave height measures",
"license": "proprietary"
},
@@ -131022,7 +115669,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129338-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539129338-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L1_L3_ANC_SATELLITE_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L1_L3_ANC_SATELLITE_1",
"description": "This ancillary SMAP product contains two dynamic data sets describing 1) the attitude and 2) the trajectory of the SMAP satellite. The data files are generated using quaternions from the SMAP spacecraft and inputs from earth receiving stations, respectively.",
"license": "proprietary"
},
@@ -131035,7 +115682,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539051655-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539051655-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L1_L3_ANC_STATIC_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L1_L3_ANC_STATIC_1",
"description": "This ancillary SMAP product contains more than 50 data sets. These data sets contain the inputs necessary to create SMAP products from raw instrument counts, such as permanent masks (land, water, forest, urban, mountain, etc.), the grid cell average elevation and slope derived from a Digital Elevation Model (DEM), permanent open water fraction, soils information (primarily sand and clay fraction), vegetation parameters, and surface roughness parameters.",
"license": "proprietary"
},
@@ -131048,7 +115695,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055411-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055411-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_BPLUT_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_BPLUT_1",
"description": "This ancillary SMAP product contains biophysical characteristics (biome parameters) used to estimate carbon fluxes and soil organic carbon in the SMAP L4 Carbon algorithm. Biophysical characteristics were established from previous studies and the parameters defined for the MODIS MOD17 operation GPP algorithm. This data set was refined through regional and global comparisons and calibration of prototype SMAP L4 Carbon calculations.",
"license": "proprietary"
},
@@ -131061,7 +115708,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055410-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055410-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_FPAR_CLIM_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_FPAR_CLIM_1",
"description": "This ancillary SMAP product contains a static climatology data set. The climatology data is derived from MODIS Fractional Photosynthetically Active Radiation (FPAR) models and represents a global 8-day average.",
"license": "proprietary"
},
@@ -131074,7 +115721,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055408-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539055408-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MDL_LOG_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_MDL_LOG_1",
"description": "This ancillary SMAP product contains SMAP L4 Carbon model log files, including model outputs.",
"license": "proprietary"
},
@@ -131087,7 +115734,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057355-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057355-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MDL_RIP_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_MDL_RIP_1",
"description": "This ancillary SMAP product contains SMAP L4 Carbon model configurations, including model inputs.",
"license": "proprietary"
},
@@ -131100,7 +115747,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057357-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057357-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MET_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_C_ANC_MET_1",
"description": "This ancillary SMAP product contains dynamic surface meteorological forcing data. The meteorological model is derived from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data set and used as an input in the SMAP L4 Carbon algorithm. The forcing data is processed from hourly GEOS-5 files into daily values. Daily files are processed every eight days.",
"license": "proprietary"
},
@@ -131113,7 +115760,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057347-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057347-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MET_LOG_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_MET_LOG_1",
"description": "This ancillary SMAP product contains daily meteorological model log files, including model outputs. The meteorological model is derived from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data set and used as an input in the SMAP L4 Carbon algorithm.",
"license": "proprietary"
},
@@ -131126,7 +115773,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057362-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057362-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MET_RIP_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_MET_RIP_1",
"description": "This ancillary SMAP product contains meteorological model configurations, including model inputs. The meteorological model is derived from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data set and used as an input in the SMAP L4 Carbon algorithm.",
"license": "proprietary"
},
@@ -131139,7 +115786,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057363-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539057363-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MOD_LOG_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_MOD_LOG_1",
"description": "This ancillary SMAP product contains MODIS Fractional Photosynthetically Active Radiation (FPAR) model log files, including model outputs.",
"license": "proprietary"
},
@@ -131152,7 +115799,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063072-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063072-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_MOD_RIP_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_MOD_RIP_1",
"description": "This ancillary SMAP product contains MODIS Fractional Photosynthetically Active Radiation (FPAR) model configurations, including model inputs.",
"license": "proprietary"
},
@@ -131165,7 +115812,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063070-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063070-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_PARAM_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SMAP_L4_C_ANC_PARAM_1",
"description": "This ancillary SMAP product contains assorted static ancillary parameters, such as reference grids and land cover classifications, also referred to as Plant Function Type (PFT) maps.",
"license": "proprietary"
},
@@ -131178,7 +115825,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063074-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063074-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SMAP_L4_C_ANC_SOC_RST_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_C_ANC_SOC_RST_1",
"description": "This ancillary SMAP product contains the yearly soil organic carbon (SOC) restart file. This file contains the area density of SOC at the start of the year, which is used to calculate daily SOC based on defined deposition and decay rates.",
"license": "proprietary"
},
@@ -131191,7 +115838,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063073-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063073-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/SMAP_L4_SM_ANC_CAT_TILE_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_SM_ANC_CAT_TILE_1",
"description": "This ancillary SMAP product contains tile information for the NASA Land Data Assimilation System (LDAS) Catchment model, including center-of-mass latitude/longitude, minimum/maximum latitude/longitude, and the land area fraction of tiles.",
"license": "proprietary"
},
@@ -131204,7 +115851,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063071-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063071-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/SMAP_L4_SM_ANC_CLIM_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_SM_ANC_CLIM_1",
"description": "This ancillary SMAP product contains a static soil moisture climatology data set. Specifically, this data set includes root zone and profile soil moisture climatology files for percentile conversion and post-processing of Land Data Assimilation Systems (LDAS) output.",
"license": "proprietary"
},
@@ -131217,7 +115864,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063296-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063296-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/SMAP_L4_SM_ANC_LOG_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_SM_ANC_LOG_1",
"description": "This ancillary SMAP product includes Land Data Assimilation Systems (LDAS) Catchment model log files, including model outputs.",
"license": "proprietary"
},
@@ -131230,7 +115877,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063295-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539063295-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/SMAP_L4_SM_ANC_PARAM_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_SM_ANC_PARAM_1",
"description": "This ancillary SMAP product contains three dynamic Land Data Assimilation Systems (LDAS) data sets. These data sets include Brightness Temperature (TB) scaling parameters; catchment model parameters such as topographic statistics, soil texture, and soil hydraulic parameters; and LDAS L-band microwave radiative transfer model parameters.",
"license": "proprietary"
},
@@ -131243,7 +115890,7 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539068952-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539068952-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/SMAP_L4_SM_ANC_RIP_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_SM_ANC_RIP_1",
"description": "This ancillary SMAP product contains Land Data Assimilation Systems (LDAS) model configurations, including model inputs.",
"license": "proprietary"
},
@@ -131256,192 +115903,10 @@
"bbox": "-180, -86.4, 180, 86.4",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1539068951-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1539068951-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/SMAP_L4_SM_ANC_RST_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/SMAP_L4_SM_ANC_RST_1",
"description": "This ancillary SMAP product contains static restart files for the Land Data Assimilation Systems (LDAS) Catchment model. This product includes prognostic variables for both the catchment model and perturbations model.",
"license": "proprietary"
},
- {
- "id": "SMAP_RSS_L2_SSS_NRT_V5_5.0",
- "title": "RSS SMAP Level 2C Sea Surface Salinity NRT V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-07-28",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2646960543-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2646960543-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicXVpa3NjYXQgbGV2ZWwgMWMgYXZlcmFnZWQgc2lnbWEtMCBhbmQgd2luZHMgZnJvbSBub24tc3Bpbm5pbmcgYW50ZW5uYSB2ZXJzaW9uIDIuMFwiLFwiUE9DTE9VRFwiLFwiUVNDQVRfTDFDX05PTlNQSU5OSU5HX1NJR01BMF9XSU5EU19WMlwiLFwiMi4wXCIsMjYxNzE3NzAyMCw0XSIsInVtbSI6IltcInF1aWtzY2F0IGxldmVsIDFjIGF2ZXJhZ2VkIHNpZ21hLTAgYW5kIHdpbmRzIGZyb20gbm9uLXNwaW5uaW5nIGFudGVubmEgdmVyc2lvbiAyLjBcIixcIlBPQ0xPVURcIixcIlFTQ0FUX0wxQ19OT05TUElOTklOR19TSUdNQTBfV0lORFNfVjJcIixcIjIuMFwiLDI2MTcxNzcwMjAsNF0ifQ%3D%3D/SMAP_RSS_L2_SSS_NRT_V5_5.0",
- "description": "The SMAP-SSS level 2C near real-time (NRT) V5.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. SMAP, launched on January 31, 2015, was initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles, and has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle.
The dataset includes derived SMAP SSS, SSS uncertainty using the NRT SMAP Salinity Retrieval Algorithm, top of atmosphere brightness temperature (TB), wind speed and direction data for extreme winds, and other all necessary ancillary data and the results of all intermediate steps. Data from July 28, 2022 to present, is available with a latency of about 6 hours. The observations are global, provided on a 0.25° fixed Earth grid with an approximate spatial resolution of 70 km. The major differences to the standard version 5.0 data products are: (1) the NRT version of the L1B SMAP antenna temperatures is used, (2) the latest 6-hourly 0.25° wind speed and direction are used for the ancillary wind speed and direction input, (3) the CMC SST from 2 days earlier is used for the ancillary SST input, (4) the sea-ice mask of the 3-day aggregate RSS AMSR-2 Air-Sea Essential Climate Variables (AS-ECV) data set from 2-days earlier is used for the sea-ice flag, (5) no correction for sea-ice contamination is performed, it is recommended to use only SMAP data that are classified to be within sea-ice zone 0 for open ocean scene and no sea-ice contamination.
This RSS SMAP-SSS V5.0 NRT dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature with its 1000km swath, it achieves global coverage in approximately three days, enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth\u2019s hydrological cycle, ocean circulation, and climate change.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L2_SSS_NRT_V6_6.0",
- "title": "RSS SMAP Level 2C Sea Surface Salinity NRT V6.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-07-28",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832224417-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832224417-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L2_SSS_NRT_V6_6.0",
- "description": "The SMAP-SSS level 2C near real-time (NRT) V6.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. SMAP, launched on January 31, 2015, was initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles, and has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle.
The dataset includes derived SMAP SSS, SSS uncertainty using the NRT SMAP Salinity Retrieval Algorithm, top of atmosphere brightness temperature (TB), wind speed and direction data for extreme winds, and other all necessary ancillary data and the results of all intermediate steps. The observations are global, provided on a 0.25° fixed Earth grid with an approximate spatial resolution of 70 km. The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. Each data file covers one 98-minute orbit (15 files per day), is available in netCDF-4 file format with about 5 hours l atency.
This RSS SMAP-SSS V6.0 NRT dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature with its 1000km swath, it achieves global coverage in approximately three days, enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth\u2019s hydrological cycle, ocean circulation, and climate change.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L2_SSS_V4_4.0",
- "title": "RSS SMAP Level 2C Sea Surface Salinity V4.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036880739-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036880739-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L2_SSS_V4_4.0",
- "description": "The version 4.0 SMAP-SSS, level 2C product contains the fourth release of the validated sea surface salinity orbital/swath data from the NASA Soil Moisture Active Passive (SMAP) observatory, and is produced operationally by Remote Sensing Systems (RSS). Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing. Observations are global in extent and provided at a 0.25 degree x 0.25 degree grid with an approximate spatial feature resolution of 40KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data.The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L2_SSS_V5.3_5.3",
- "title": "RSS SMAP Level 2C Sea Surface Salinity V5.3 Evaluation Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "2024-01-07",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2936721448-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2936721448-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L2_SSS_V5.3_5.3",
- "description": "The RSS SMAP level 2C sea surface salinity V5.3 evaluation dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a evaluation product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B antenna temperatures (TA) as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file covers one 98-minute orbit (15 files per day) and is available in netCDF-4 file format. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L2_SSS_V5_5.0",
- "title": "RSS SMAP Level 2C Sea Surface Salinity V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208421887-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208421887-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L2_SSS_V5_5.0",
- "description": "The version 5.0 SMAP-SSS, level 2C product contains the fourth release of the validated sea surface salinity orbital/swath data from the NASA Soil Moisture Active Passive (SMAP) observatory, and is produced operationally by Remote Sensing Systems (RSS). The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L2_SSS_V6_6.0",
- "title": "RSS SMAP Level 2C Sea Surface Salinity V6.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832221740-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832221740-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L2_SSS_V6_6.0",
- "description": "The RSS SMAP level 2C sea surface salinity V6.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day), is available in netCDF-4 file format with about 4 days l atency. Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V4_4.0",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V4.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-03-27",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1940468263-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1940468263-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V4_4.0",
- "description": "The version 4.0 SMAP-SSS level 3, 8-Day running mean gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS). Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Daily data files for this product are based on SSS averages spanning an 8-day moving time window. SMAP data begins on April 1,2015 and is ongoing. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V5.3_5.3",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.3 Evaluation Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-03-27",
- "end_date": "2024-01-05",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2951822554-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951822554-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V5.3_5.3",
- "description": "The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.3 Evaluation Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a evaluation product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B antenna temperatures (TA) as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file is available in netCDF-4 file format. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 5.3 release is the smoothed salinity product with a spatial resolution of approximately 70 km.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V5_5.0",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-03-27",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208425700-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208425700-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V5_5.0",
- "description": "The version 5.0 SMAP-SSS level 3, 8-Day running mean gridded product is based on the fifth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS). The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. Daily data files for this product are based on SSS averages spanning an 8-day moving time window. SMAP data begins on April 1,2015 and is ongoing. L3 products are global in extent with a default spatial resolution of approximately 70KM. The datasets are gridded at 0.25degree x 0.25degree. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V6_6.0",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V6.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-03-27",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832227567-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832227567-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V6_6.0",
- "description": "The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V6.0 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The RSS SMAP 8-Day running mean product is based on SSS averages spanning an 8-day moving time window, it includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, rain filtered SMAP sea surface salinity, collocated wind speed, data and ancillary reference surface salinity data from HYCOM. Each data file is available in netCDF-4 file format with about 7-day latency (after the end of the averaging period). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_MONTHLY_V4_4.0",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V4.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878255-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878255-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_MONTHLY_V4_4.0",
- "description": "The version 4.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_MONTHLY_V5.3_5.3",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.3 Evaluation Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "2024-01-01",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2936708691-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2936708691-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_MONTHLY_V5.3_5.3",
- "description": "The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.3 Evaluation Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a evaluation product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B antenna temperatures (TA) as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file is available in netCDF-4 file format. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 5.3 release is the smoothed salinity product with a spatial resolution of approximately 70 km.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_MONTHLY_V5_5.0",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2208416221-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2208416221-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_MONTHLY_V5_5.0",
- "description": "The version 5.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent with a default spatial resolution of approximately 70KM. The datasets are gridded at 0.25degree x 0.25degree. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.",
- "license": "proprietary"
- },
- {
- "id": "SMAP_RSS_L3_SSS_SMI_MONTHLY_V6_6.0",
- "title": "RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2015-04-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832226365-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832226365-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMAP_RSS_L3_SSS_SMI_MONTHLY_V6_6.0",
- "description": "The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The RSS SMAP L3 monthly product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, rain filtered SMAP sea surface salinity, collocated wind speed, data and ancillary reference surface salinity data from HYCOM. Each data file is available in netCDF-4 file format and is averaged over one-month time intervals with about 7-day latency (after the end of the averaging period). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km.",
- "license": "proprietary"
- },
{
"id": "SMERGE_RZSM0_40CM_2.0",
"title": "Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 (SMERGE_RZSM0_40CM) at GES DISC",
@@ -131455,71 +115920,6 @@
"description": "Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 is a multi-decadal root-zone soil moisture product. Smerge is developed by merging the North American Land Data Assimilation System (NLDAS) land surface model output with surface satellite retrievals from the European Space Agency Climate Change Initiative. The data have a 0.125 degree resolution at a daily time-step, covering the entire continental United States and spanning nearly four decades (January 1979 to May 2019). This data product contains root-zone soil moisture of 0 - 40 cm layer, Climate Change Initiative (CCI) derived soil moisture anomalies of 0-40 cm layer, and a soil moisture data estimation flag. This data product is the recommended replacement for the AMSR-E/Aqua root zone soil moisture L3 1 day 25 km x 25 km descending and 2-Layer Palmer Water Balance Model V001 product (LPRM_AMSRE_D_RZSM3), which will be removed from archive on June 27, 2022. Smerge provides a better root zone soil moisture estimation because it has higher data quality and longer temporal coverage. ",
"license": "proprietary"
},
- {
- "id": "SMHI_IPY_ACEX-2004-ODEN-TRACK_1.0",
- "title": "ACEX 2004 ODEN TRACK",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2004-08-08",
- "end_date": "2004-09-13",
- "bbox": "19.045, 69.727, 175.94, 89.999",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595274-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595274-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWNlIGJhc2luIG5hdGlvbmFsIGVzdHVhcmluZSByZXNlYXJjaCByZXNlcnZlIHdhdGVyIHF1YWxpdHkgbWV0YWRhdGEgcmVwb3J0ICAgIGphbnVhcnktZGVjZW1iZXIgMjAwMCBsYXRlc3QgdXBkYXRlOiBtYXkgMjIsIDIwMDFcIixcIlNDSU9QU1wiLFwiQ0RNT19hY2V3cTAxLTEyLjAwbVwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDU5MDY3OSwyNl0iLCJ1bW0iOiJbXCJhY2UgYmFzaW4gbmF0aW9uYWwgZXN0dWFyaW5lIHJlc2VhcmNoIHJlc2VydmUgd2F0ZXIgcXVhbGl0eSBtZXRhZGF0YSByZXBvcnQgICAgamFudWFyeS1kZWNlbWJlciAyMDAwIGxhdGVzdCB1cGRhdGU6IG1heSAyMiwgMjAwMVwiLFwiU0NJT1BTXCIsXCJDRE1PX2FjZXdxMDEtMTIuMDBtXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNjc5LDI2XSJ9/SMHI_IPY_ACEX-2004-ODEN-TRACK_1.0",
- "description": "Icebreaker Oden\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s trackline during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX).",
- "license": "proprietary"
- },
- {
- "id": "SMHI_IPY_ACEX-2004-Seismic_Not provided",
- "title": "ACEX 2004 Seismic",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2004-08-08",
- "end_date": "2004-09-13",
- "bbox": "139.0632, 87.917, 140.31, 87.977",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595276-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595276-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_IPY_ACEX-2004-Seismic_Not%20provided",
- "description": "Reflection seismic profiles aquired during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX).",
- "license": "proprietary"
- },
- {
- "id": "SMHI_IPY_ACEX-2004-Sites_1.0",
- "title": "ACEX 2004 Sites",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2004-08-08",
- "end_date": "2004-09-13",
- "bbox": "-4.05029, 69.727, 19.045, 89.999",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595252-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595252-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_IPY_ACEX-2004-Sites_1.0",
- "description": "The site location for the cores retrieved during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX).",
- "license": "proprietary"
- },
- {
- "id": "SMHI_IPY_AGAVE2007-track_1.0",
- "title": "AGAVE2007 track",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2007-07-01",
- "end_date": "2007-08-09",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595299-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595299-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWZpIDA3LzAyXzA3IHN1YmdsYWNpYWwgbGFrZSBlbGxzd29ydGggLSBncmF2aXR5IGRhdGEsIGFudGFyY3RpY2EsIDIwMDcvMDhcIixcIlNDSU9QU1wiLFwiR0ItTkVSQy1CQVMtQUVEQy0wMDM1MFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDU5NDUzOCw0XSIsInVtbSI6IltcImFmaSAwNy8wMl8wNyBzdWJnbGFjaWFsIGxha2UgZWxsc3dvcnRoIC0gZ3Jhdml0eSBkYXRhLCBhbnRhcmN0aWNhLCAyMDA3LzA4XCIsXCJTQ0lPUFNcIixcIkdCLU5FUkMtQkFTLUFFREMtMDAzNTBcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ1OTQ1MzgsNF0ifQ%3D%3D/SMHI_IPY_AGAVE2007-track_1.0",
- "description": "Icebreaker Oden\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s trackline during the Arctic Gakkel Vents Expedition (AGAVE) 2007.",
- "license": "proprietary"
- },
- {
- "id": "SMHI_IPY_ALIS_Not provided",
- "title": "ALIS, Auroral Large Imaging System",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1993-12-23",
- "end_date": "2009-02-18",
- "bbox": "18.8, 67.3, 21.7, 69.3",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595251-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595251-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWxiZWRvIGxpbmUgc25vdyBkZXB0aHNcIixcIlNDSU9QU1wiLFwiYWxiZWRvX2xpbmVfc25vd19kZXB0aHNcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDAzNDMsM10iLCJ1bW0iOiJbXCJhbGJlZG8gbGluZSBzbm93IGRlcHRoc1wiLFwiU0NJT1BTXCIsXCJhbGJlZG9fbGluZV9zbm93X2RlcHRoc1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwMDM0MywzXSJ9/SMHI_IPY_ALIS_Not%20provided",
- "description": "ALIS consists of unmanned imaging stations located in Northern Scandinavia in a grid of about 50\u00c3\u009750 km. Each station is equipped with an imager having a high-resolution monochrome 1024\u00c3\u00971024 pixel CCD detector and a filter wheel with six positions for narrow-band interference filters. The field of view is 70 degrees diagonally for most imagers, but there are also two units with a 90 degrees field of view. The imagers are mounted in a positioning system and can be pointed so that several imagers can view a common volume. ALIS is operated on campaign basis. Filter sequences and pointing directions are freely selectable.",
- "license": "proprietary"
- },
{
"id": "SMMRN7IM_001",
"title": "SMMR/Nimbus-7 Color Images V001 (SMMRN7IM) at GES DISC",
@@ -131559,461 +115959,6 @@
"description": "SMMR_IWV_PRABHAKARA data are Special Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) data by Prabhakara.The Scanning Multichannel Microwave Radiometer (SMMR) Prabhakara integrated atmospheric water vapor (IWV) files were generated by Dr. Prabhakara Cuddapah at the Goddard Space Flight Center (GSFC) using SMMR Antenna Temperatures. A discussion of the SMMR Antenna Temperatures is available from the Langley Research Center Distributed Active Archive Center (DAAC). Each IWV file contains one month of 3 degree by 5 degree gridded mean water vapor. A scale factor of 0.1 must be applied to convert the data into units of g/cm2. The data spans the period from October 1979 to September 1983.",
"license": "proprietary"
},
- {
- "id": "SMODE_L1_ASIT_KABODS_V1_1",
- "title": "S-MODE Pre-Pilot Level 1 Data from the Ka-band Ocean Doppler Scatterometer (KaBODS) at the Air-Sea Interaction Tower Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-10-01",
- "end_date": "2020-01-15",
- "bbox": "-70.5667, 41.325, -70.5667, 41.325",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162113242-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162113242-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_ASIT_KABODS_V1_1",
- "description": "This data set includes tower-based Ka-band ocean surface backscatter measurements (cross section, incidence angle, radial velocity from radar, pulse-pair correlation) located offshore of Martha\u2019s Vineyard (41\u00b019.5\u2032N, 70\u00b034\u2032W), Massachusetts (USA) over a period of three months, from October 2019 to January 2020. Data from the Ka-band radar are collected at multiple distances from the tower (up to ~32 m) at several incidence angles and at sub-second resolution. The measurements are provided as hourly files in netCDF format.
Ka-band backscatter data are often utilized to derived ocean surface vector winds. The instrument used for this dataset was a Ka-Band Ocean continuous wave Doppler Scatterometer (KaBODS) built by the University of Massachusetts, Amherst, which was installed on the Woods Hole Oceanographic Institution Air-Sea Interaction Tower (ASIT). The tower is located in 15 m deep water and extends 76 feet into the marine atmosphere. Data were collected as part of a pre-pilot campaign for the S-MODE (Submesoscale Ocean Dynamics Experiment) project. The measurements provided the opportunity to develop Ka-band backscatter models as well as study backscattering mechanisms under different wind, wave, and weather conditions in order to support operation of the airborne Ka-band Doppler scatterometer used during the main S-MODE intensive observation periods. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_ASIT_SLOPEFIELDS_V1_1",
- "title": "S-MODE Pre-Pilot Ocean Wave Slope from Visible-Band Polarimetry at the Air-Sea Interaction Tower Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-10-07",
- "end_date": "2020-01-18",
- "bbox": "-70.5667, 41.325, -70.5667, 41.325",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162104652-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162104652-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_ASIT_SLOPEFIELDS_V1_1",
- "description": "These wave slope data from polarimetry described below are considered preliminary and should not be used for any purpose without consulting Chris Zappa (zappa@ldeo.columbia.edu).
This data set includes tower-based measurements of ocean wave slope fields from visible-band polarimetry using a Polaris Pyxis Mono VIS polarimetric camera. The data here include wave slope fields at 30 frames per second temporal resolution and mm-scale spatial resolution over a ~2 m x 2 m area of ocean surface observed off the Air-Sea Interaction Tower (ASIT; 41\u00b020.1950'N, 70\u00b033.3865'W). Measurements were taken over the period from October 2019 through January 2020. Surface slopes are along two dimensions: along-look and cross-look orientations of the camera. Data was acquired for 10 minutes per hour, 8 hours per day, and each data file (netCDF-4) captures one of the 10-minute segments. Note that data files are large, 142 GB each.
Data were collected as part of a pre-pilot campaign for the S-MODE (Submesoscale Ocean Dynamics Experiment) project. The polarimetric slope sensing (PSS) technique of Zappa et al. [2008] allows one to reconstruct the water surface slope field by measuring the polarization state of reflected light at each image pixel, allowing for surface resolutions of order 1 mm with no in-water measurement component. From these data one is able to compute water surface slope variance, wave directional spreading, and the near-surface current profile. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_DOPPLERSCATT_V1_1",
- "title": "S-MODE DopplerScatt Level 1 Surface Doppler and Radar Backscatter Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-05-03",
- "end_date": "2023-04-30",
- "bbox": "-125.4, 36.3, -122.5, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2301076107-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2301076107-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMODE_L1_DOPPLERSCATT_V1_1",
- "description": "This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 1 data includes geolocated physical measurements for a measurement footprint, which are the basis for the DopplerScatt L2 surface winds and currents estimates. Data are available in netCDF format and are ordered by measurement acquisition time and radar range, and are not on a geospatial grid. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_MASS_DOPPVIS_V1_1",
- "title": "S-MODE Level 1 MASS DoppVis Imagery Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-10-16",
- "end_date": "2023-04-30",
- "bbox": "-125.4, 36.3, -121.7, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2793202077-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2793202077-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_MASS_DOPPVIS_V1_1",
- "description": "This dataset contains airborne DoppVis imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a Nikon D850 camera with a 14mm lens mounted with a 90 degree rotation and a 30 degree positive pitch angle during flight. The camera was synchronized to a coupled GPS/IMU system with images taken at 2hz. Raw images were calibrated for lens distortion and boresight misalignment with the GPS/IMU. Images were georeferenced to the processed aircraft trajectory and exported with reference to WGS84 datum with a UTM zone 10 projection (EPSG 32610) at 50cm resolution. Level 1 DoppVis images are available as GZIP flightlines containing individual TIFF images.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_MASS_DOPVISIBLE_V1_1",
- "title": "S-MODE MASS Level 1 DoppVis Imagery Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2021-11-30",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2431661343-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2431661343-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_MASS_DOPVISIBLE_V1_1",
- "description": "This dataset contains airborne DoppVis imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a Nikon D850 camera with a 14mm lens mounted with a 90 degree rotation and a 30 degree positive pitch angle during flight. The camera was synchronized to a coupled GPS/IMU system with images taken at 2hz. Raw images were calibrated for lens distortion and boresight misalignment with the GPS/IMU. Images were georeferenced to the processed aircraft trajectory and exported with reference to WGS84 datum with a UTM zone 10 projection (EPSG 32610) at 50cm resolution. Level 1 DoppVis images are available in TIFF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_MASS_HYPERSPECTRAL_V1_1",
- "title": "S-MODE MASS Level 1 Hyperspectral Imagery Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2431605582-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2431605582-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_MASS_HYPERSPECTRAL_V1_1",
- "description": "This dataset contains airborne hyperspectral imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a hyperspectral camera operating in the visible to near-IR range (400-990 nm). Hyperspectral data are used by S-MODE to provide visible imagery of the kinematics of whitecaps and ocean color measurements. Level 1 data are available as zip files containing data in ENVI format and text files containing location and timing information.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_MASS_LIDAR_V1_1",
- "title": "S-MODE MASS Level 1 Lidar Point Cloud Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2023-04-28",
- "bbox": "-125.4, 36.3, -121.5, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184918-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184918-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_MASS_LIDAR_V1_1",
- "description": "This dataset contains geolocated airborne LiDAR point cloud measurements from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a high resolution LiDAR, used to characterize the properties of ocean surface topography. The sensor has a maximum pulse repetition rate of 400 kHz, with a +/- 30\u00b0 cross-heading raster scan rate of 200 Hz. Level 1 LiDAR point clouds are available in .laz format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_MASS_LWIR_V1_1",
- "title": "S-MODE MASS Level 1 LWIR Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2021-11-30",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2431645288-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2431645288-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_MASS_LWIR_V1_1",
- "description": "NOTICE: This dataset is currently undergoing maintenance to be repackaged as zip files of flight lines. The file count will decrease dramatically when new zip files are available.
This dataset contains airborne longwave infrared (LWIR) imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a FLIR SC6700 camera with 13mm lens was mounted nadir in the aircraft in an orientation so that the short edge of the image was parallel with the flight track. The camera was synchronized to a coupled GPS/IMU system with images collected at 50hz. Raw images were calibrated for lens distortion, vignetting, and boresight misalignment with the GPS/IMU. Images were georeferenced to the processed aircraft trajectory and exported with reference to the WGS84 datum with a UTM zone 10 projection (EPSG 32610) at an altitude-dependent resolution. Level 1 images are available in TIFF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_MASS_VISIBLE_V1_1",
- "title": "S-MODE MASS Level 1 Visible Imagery Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2431654574-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2431654574-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_MASS_VISIBLE_V1_1",
- "description": "This dataset contains airborne visible imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes an IO Industries Flare 12M125-CL camera with 14mm lens mounted nadir in the aircraft in an orientation so that the short edge of the image was parallel with the aircraft heading. The camera was synchronized to a coupled GPS/IMU system with images taken at 5hz. Raw images were calibrated for lens distortion and boresight misalignment with the GPS/IMU. Images were georeferenced to the post-processed aircraft trajectory and exported with reference to WGS84 datum with a UTM zone 10 projection (EPSG 32610) at an altitude-dependent spatial resolution. Level 1 images are available in TIFF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_PRISM_V1_1",
- "title": "S-MODE PRISM Level 1 Radiance and Ancillary Products Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-10-18",
- "end_date": "2023-05-10",
- "bbox": "-130, 35, -122, 40",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184916-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184916-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L1_PRISM_V1_1",
- "description": "This dataset contains PRISM data from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco during Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Portable Remote Imaging Spectrometer (PRISM) is an airborne instrument package that is mounted on the GIII aircraft which flies long duration detailed surveys of the field domain during deployments. PRISM contains a pushbroom imaging spectrometer operating at near-UV to near-IR wavelengths (350-1050 nm), which will produce high temporal resolution and resolve spatial features as small as 30 cm. PRISM also has a two-channel spot radiometer at short-wave infrared (SWIR) band (1240 nm and 1640 nm), that is co-aligned with the spectrometer and will be used to provide accurate atmospheric correction of the ocean color measurements. Level 1 data is available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L1_SAILDRONES_V1_1",
- "title": "S-MODE Saildrone Level 1 Observations",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-01",
- "end_date": "2022-11-30",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2574191901-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2574191901-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L1_SAILDRONES_V1_1",
- "description": "This dataset contains a suite of Saildrone in-situ measurements (including but not limited to temperature, salinity, currents, biochemistry, and meteorology) taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign spanning two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Saildrones are wind-and-solar-powered unmanned surface vehicles rigged with atmospheric and oceanic sensors that measure upper ocean horizontal velocities, near-surface temperature and salinity, Chlorophyll-a fluorescence, dissolved oxygen concentration, 5-m winds, air temperature, and surface radiation. Acoustic Doppler Current Profiler (ADCP) data samples are available in their raw 1 Hz sampling frequency as well as 5 minute averages, the latter available with navigation data. Other measurements are available as raw files (1Hz or 20 Hz where applicable), as well as 1 minute averages. L1 data are available as a zip file. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_APEX_FLOAT_V1_1",
- "title": "S-MODE Temperature and Salinity from NAVO Floats Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2023-04-01",
- "end_date": "2023-08-01",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2864321540-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2864321540-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_APEX_FLOAT_V1_1",
- "description": "This dataset contains APEX float in-situ measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. Data was collected approximately 300 km offshore of San Francisco, during Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. US Naval Oceanographic Office (NAVO) APEX floats measure subsurface properties including temperature and salinity. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_DOPPLERSCATT_WINDS_CURRENT_V1_1",
- "title": "S-MODE DopplerScatt Level 2 Ocean Winds and Currents Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-20",
- "end_date": "2021-11-05",
- "bbox": "-126.2, 36.3, -122.1, 38.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184925-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184925-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMODE_L2_DOPPLERSCATT_WINDS_CURRENT_V1_1",
- "description": "This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 2 data includes estimates of surface winds and currents. The V1 data have been cross-calibrated against SIO-DopVis leading to the 'dopvis_2021' current geophysical model function. It is expected that additional DopVis data will lead to a reprocessing of this data set and it should be regarded as provisional, to be refined after future S-MODE deployments. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_DOPPLERSCATT_WINDS_CURRENT_V2_2",
- "title": "S-MODE DopplerScatt Level 2 Ocean Winds and Currents Version 2",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-20",
- "end_date": "2023-04-30",
- "bbox": "-126.5, 36, -122, 38.4",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2639507467-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2639507467-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMODE_L2_DOPPLERSCATT_WINDS_CURRENT_V2_2",
- "description": "This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Data were collected approximately 300 km offshore of San Fransisco during a pilot campaign in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 2 data includes estimates of surface winds and currents. The V2 data have been cross-calibrated against ADCPs, surface drifters, and the SIO-DopVis instrument collected during the Pilot and IOP1 campaigns. Additional DopVis data collected during IOP1 and IOP2, in addition to IOP2 ADCP and surface drifter data will lead to a reprocessing of this dataset, and it should be regarded as provisional. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_DRIFTER_POSITIONS_V1_1",
- "title": "S-MODE L2 Position Data from Surface Drifters Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-21",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830029002-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830029002-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMODE_L2_DRIFTER_POSITIONS_V1_1",
- "description": "This dataset contains in-situ position data from surface drifters from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Drifting buoys were deployed from the research vessels and configured to nominally report positions every five minutes. Drifter position as a function of time is used by S-MODE to measure the average horizontal velocity of currents in the upper 60 cm of the ocean. Tracking and telemetry of the drifters is done by Pacific Gyre, Inc. The data are available in netCDF format with a dimension of time. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_LAGRANGIAN_FLOATS_V1_1",
- "title": "S-MODE Lagrangian Float Observations Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-10-01",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2612867358-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2612867358-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_LAGRANGIAN_FLOATS_V1_1",
- "description": "This dataset contains in-situ measurements of temperature, salinity, and velocity from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco, during an intensive observation period in the fall of 2022. The data are available in netCDF format with a dimension of time. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The target in-situ quantities were measured by Lagrangian floats, which were deployed from research vessels and retrieved 3-5 days later. The floats follow the 3D motion of water parcels at depths within or just below the mixed layer and carried a CTD instrument to measure temperature, salinity, and pressure, in addition to an ADCP instrument to measure velocity. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_MOSES_LWIR_SST_V1_1",
- "title": "S-MODE MOSES Level 2 Atmospherically-Corrected Sea Surface Temperature Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-19",
- "end_date": "2023-05-05",
- "bbox": "-125.4, 36, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184921-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184921-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_MOSES_LWIR_SST_V1_1",
- "description": "This dataset contains airborne sea surface temperature (SST) measurements from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). Data were collected approximately 300 km offshore of San Fransisco during a pilot campaign in October 2021, and an intensive operating period (IOP) in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Multiscale Observing System of the Ocean Surface (MOSES) is an aerial observing system that primarily uses a longwave infrared (LWIR) camera to record SST at a resolution of several meters. Individual images are mosaiced together to provide a synoptic map of the sample domain covering approximately 200 km. MOSES is mounted on the B200 aircraft which flies daily surveys of the field domain during deployments. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_PRISM_CHLA_V1_1",
- "title": "S-MODE PRISM Level 2 Water Surface Chlorophyll-a Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-10-19",
- "end_date": "2023-05-10",
- "bbox": "-130, 35, -122, 40",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2727960248-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2727960248-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_PRISM_CHLA_V1_1",
- "description": "This dataset contains estimated chlorophyll-a and particulate organic carbon concentration data from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco during Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Portable Remote Imaging Spectrometer (PRISM) is an airborne instrument package that is mounted on the GIII aircraft which flies long duration detailed surveys of the field domain during deployments. PRISM contains a pushbroom imaging spectrometer operating at near-UV to near-IR wavelengths (350-1050 nm), which produced high temporal resolution and resolve spatial features as small as 30 cm. PRISM also has a two-channel spot radiometer at short-wave infrared (SWIR) band (1240 nm and 1640 nm), that is co-aligned with the spectrometer and is used to provide accurate atmospheric correction of the ocean color measurements. Level 2 chlorophyll-a data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SAILDRONES_V1_1",
- "title": "S-MODE L2 Temperature and Salinity from Saildrones Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-09-01",
- "end_date": "2022-10-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2766903177-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2766903177-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_SAILDRONES_V1_1",
- "description": "This dataset contains Saildrone in-situ measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and an intensive operating period (IOP) in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Saildrones are wind-and-solar-powered unmanned surface vehicles rigged with atmospheric and oceanic sensors that measure upper ocean horizontal velocities, near-surface temperature and salinity, Chlorophyll-a fluorescence, dissolved oxygen concentration, 5-m winds, air temperature, and surface radiation. Acoustic Doppler Current Profiler (ADCP) data samples originally measured at 1 Hz frequency are averaged into 5 minute bins, along with navigation data. Non-ADCP data from IOP1 contain additional bio-optical measurements. All data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SEAGLIDERS_V1_1",
- "title": "S-MODE Seaglider Observations Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-23",
- "end_date": "2023-07-07",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2766303078-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2766303078-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_SEAGLIDERS_V1_1",
- "description": "This dataset contains profiles of temperature, dissolved oxygen, salinity, and other observations collected by Seagliders during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Seagliders are autonomous underwater vehicles (AUVs) designed to glide from the ocean surface to as deep as 1000 m and back while collecting profiles of oceanic variables. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_ADCP_V1_1",
- "title": "S-MODE L2 Shipboard Acoustic Doppler Current Profiler Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-19",
- "end_date": "2023-05-06",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830022538-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830022538-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMODE_L2_SHIPBOARD_ADCP_V1_1",
- "description": "This dataset contains shipboard Acoustic Doppler Current Profiler (ADCP) measurements from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign and two intensive operating periods (IOPs) conducted approximately 300 km offshore of San Francisco during Fall 2021, 2022, and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The ADCP was mounted to the bottom of the hulls of the research vessels deployed during each campaign, measuring horizontal and vertical currents, as well as acoustic backscatter from approximately 3 m to 50 m depth along the ship\u2019s track. The data are available in netCDF format with dimensions of time and depth. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_BIO_V1_1",
- "title": "S-MODE Shipboard Bio-optical Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-10-09",
- "end_date": "2022-11-02",
- "bbox": "-125.4, 30, -119, 42",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2700534037-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2700534037-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_SHIPBOARD_BIO_V1_1",
- "description": "This dataset contains shipboard bio-optical measurements collected during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during an intensive operating period (IOP) in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_BOTTLES_V1_1",
- "title": "S-MODE L2 Shipboard Bottle Data Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2023-05-02",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2830060262-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2830060262-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIiwidW1tIjoiW1wicnNzIHNtYXAgbGV2ZWwgMmMgc2VhIHN1cmZhY2Ugc2FsaW5pdHkgbnJ0IHY1LjAgdmFsaWRhdGVkIGRhdGFzZXRcIixcIlBPQ0xPVURcIixcIlNNQVBfUlNTX0wyX1NTU19OUlRfVjVcIixcIjUuMFwiLDI2NDY5NjA1NDMsMTddIn0%3D/SMODE_L2_SHIPBOARD_BOTTLES_V1_1",
- "description": "This dataset contains in-situ seawater samples taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Water samples collected in Niskin bottles mounted on the ship\u2019s rosette sampler were taken of chlorophyll (\u00b5g/L), phaeopigments (\u00b5g/L), and nutrient concentrations (\u00b5M or \u00b5mol/L) of particulate organic carbon, particulate organic nitrogen, silicate, nitrate, nitrite, and phosphate. Samples analyzed with fluorometry contain chlorophyll concentrations in \u00b5g/L and phaeopigment concentrations in \u00b5g/L. Samples analyzed with elemental analysis contain POC molarity in \u00b5M and PON molarity in \u00b5M. Samples analyzed via ion analysis contain silicate concentrations in \u00b5M, total nitrate+nitrite in \u00b5M, phosphate in \u00b5M, nitrite in \u00b5M, and nitrate in \u00b5M. These data are mainly used by S-MODE for validating the PRISM-derived products and calibrating the in-situ sensors on the autonomous platforms. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_CTD_V1_1",
- "title": "S-MODE L2 Shipboard Conductivity, Temperature, and Depth Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-08-01",
- "end_date": "2023-05-05",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2834159558-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2834159558-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_SHIPBOARD_CTD_V1_1",
- "description": "This dataset contains shipboard conductivity, temperature, and depth (CTD) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The shipboard CTD rosette is cast from the R/V Oceanus where it records ocean temperature, conductivity, and pressure as it descends to depth and then returns to the surface. IOP1 and IOP2 measurements also contain biological data. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_RADIOMETER_METEOROLOGY_V1_1",
- "title": "S-MODE Shipboard Radiometer Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-08-01",
- "end_date": "",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832306976-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832306976-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_SHIPBOARD_RADIOMETER_METEOROLOGY_V1_1",
- "description": "This dataset contains shipboard radiometer measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Air-Sea Interaction METeorology (ASIMET) sensors mounted onboard the R/V Oceanus record shortwave and longwave radiation fluxes. These are used by S-MODE to compare with DopplerScatt retrievals. Data are available in netCDF format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_RADIOSONDES_METEOROLOGY_V1_1",
- "title": "S-MODE L2 Shipboard Meteorological Data from Rawinsondes Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-21",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832235159-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832235159-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_SHIPBOARD_RADIOSONDES_METEOROLOGY_V1_1",
- "description": "This dataset contains atmospheric sounding measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Sounding profiles were collected using shipboard Windsond S1H3-S radiosondes launched from the R/V Oceanus cruise OC2108A, to a maximum elevation of at least 5 km above ground level (ABL). These measurements are used to understand the vertical structure of atmospheric temperature, winds, and moisture. The original 1Hz observations were gridded onto a uniform 20 m vertical grid. The data are available in netCDF format with dimensions of altitude and profile number. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_SUNA_V1_1",
- "title": "S-MODE L2 Shipboard SUNA nitrate data Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-22",
- "end_date": "2021-10-23",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832216518-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832216518-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_SHIPBOARD_SUNA_V1_1",
- "description": "This dataset contains Submersible Ultraviolet Nitrate Analyzer (SUNA) nitrate measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. SUNA is a standalone optical nitrate sensor that mounts onto the shipboard CTD rosette cast from the R/V Oceanus. The SUNA measurements are calibrated against bottle nutrient samples taken from the underway flow-through system on the ship and later analyzed with a Lachat Nutrient Analyzer. From the Lachat data, the average concentration of nitrate+nitrite are used for each sample. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_TSG_V1_1",
- "title": "S-MODE L2 Shipboard Thermosalinograph, Meteorology, and Bio-optics Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-08-01",
- "end_date": "2023-05-04",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2832851810-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2832851810-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L2_SHIPBOARD_TSG_V1_1",
- "description": "This dataset contains shipboard thermosalinograph (TSG), meteorology, and bio-optics measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The TSG instrument measures the temperature and conductivity of seawater passing through a port in the hull of the ship. TSG data is calibrated using water samples compared to standard seawater and a laboratory salinometer onboard the ship. This dataset also contains chlorophyll and meteorology measurements including air temperature, barometric pressure, wind speed and direction, relative humidity, and radiative fluxes. Data are available in netCDF format, with separate dimensions for time, time of bio-optics measurements, and time of radiometer measurements.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SHIPBOARD_UCTD_ECOCTD_V1_1",
- "title": "S-MODE Shipboard uCTD and EcoCTD Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-08-01",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184931-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2110184931-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_SHIPBOARD_UCTD_ECOCTD_V1_1",
- "description": "This dataset contains shipboard Underway conductivity, temperature, and depth (UCDT) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Underway CTD system contains a standard UCDT probe measuring conductivity, temperature, and pressure, as well as an augmented EcoCDT probe that concurrently measures both hydrographic and bio-optical data including conductivity, temperature, pressure, dissolved oxygen concentration, chlorophyll-fluorescence, and particulate backscatter at two different wavelengths. The level 2 data herein combines measurements from both the UCDT and EcoCDT into a single dataset, where for each variable, all profiles are binned onto a 5m vertical grid and merged into a 2-D matrix. Additional computed variables include backscatter baseline signal and backscatter spike signal. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_SLOCUM_GLIDERS_V1_1",
- "title": "S-MODE Temperature and Salinity from Slocum Gliders Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-08-01",
- "end_date": "2023-05-31",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2301083264-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2301083264-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_SLOCUM_GLIDERS_V1_1",
- "description": "This dataset contains Slocum glider in-situ measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. US Naval Oceanographic Office (NAVOCEANO) Slocum gliders measure subsurface properties including temperature and salinity by profiling to a depth of 1000m at a fixed location every 4 hours. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2_WAVEGLIDERS_TEMP_SALINITY_V1_1",
- "title": "S-MODE Waveglider Observations",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-28",
- "end_date": "2022-11-30",
- "bbox": "-126.2, 36.3, -122.1, 38.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2574025518-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2574025518-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2_WAVEGLIDERS_TEMP_SALINITY_V1_1",
- "description": "This dataset contains waveglider observations from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Three wave gliders were deployed as part of the S-MODE pilot campaign, equipped with a suite of sensors including sonic anemometers, shortwave and longwave radiometers, CTD profilers, and ADCPs. All wave gliders include an IMU that records platform orientation and motion at 20Hz. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L2a_PRISM_REFL_V1_1",
- "title": "S-MODE PRISM Level 2a Reflectance Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-10-19",
- "end_date": "2023-05-10",
- "bbox": "-130, 35, -122, 40",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2727951862-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2727951862-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIiwidW1tIjoiW1wicy1tb2RlIHByaXNtIGxldmVsIDIgd2F0ZXIgc3VyZmFjZSBjaGxvcm9waHlsbC1hIHZlcnNpb24gMVwiLFwiUE9DTE9VRFwiLFwiU01PREVfTDJfUFJJU01fQ0hMQV9WMVwiLFwiMVwiLDI3Mjc5NjAyNDgsMTJdIn0%3D/SMODE_L2a_PRISM_REFL_V1_1",
- "description": "This dataset contains orthocorrected and atmospherically corrected water-leaving reflectance data from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco during Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Portable Remote Imaging Spectrometer (PRISM) is an airborne instrument package that is mounted on the GIII aircraft which flies long duration detailed surveys of the field domain during deployments. PRISM contains a pushbroom imaging spectrometer operating at near-UV to near-IR wavelengths (350-1050 nm), which produced high temporal resolution and resolve spatial features as small as 30 cm. PRISM also has a two-channel spot radiometer at short-wave infrared (SWIR) band (1240 nm and 1640 nm), that is co-aligned with the spectrometer and is used to provide accurate atmospheric correction of the ocean color measurements. Level 2a reflectance data is available in ENVI format. ",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L3_SEAGLIDERS_TEMP_SALINITY_V1_1",
- "title": "S-MODE Level 3 Seaglider Observations Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-23",
- "end_date": "2023-07-07",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2847092563-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847092563-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L3_SEAGLIDERS_TEMP_SALINITY_V1_1",
- "description": "This dataset contains profiles of temperature, dissolved oxygen, salinity, and other observations collected by Seagliders during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Seagliders are autonomous underwater vehicles (AUVs) designed to glide from the ocean surface to as deep as 1000 m and back while collecting profiles of oceanic variables. Data are available in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L3_SHIPBOARD_UCTD_ECOCTD_V1_1",
- "title": "S-MODE Level 3 Shipboard uCTD and EcoCTD Measurements Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-08-01",
- "end_date": "2021-11-30",
- "bbox": "-125.4, 36.3, -122.9, 38.1",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2574152934-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2574152934-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L3_SHIPBOARD_UCTD_ECOCTD_V1_1",
- "description": "This dataset contains shipboard Underway conductivity, temperature, and depth (UCDT) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Underway CTD system contains a standard UCDT probe measuring conductivity, temperature, and pressure, as well as an augmented EcoCDT probe that concurrently measures both hydrographic and bio-optical data including conductivity, temperature, pressure, dissolved oxygen concentration, chlorophyll-fluorescence, and particulate backscatter at two different wavelengths. Level 3 data are available in netCDF format with dimensions of profile number and depth.",
- "license": "proprietary"
- },
- {
- "id": "SMODE_L4_NCOM_V1_1",
- "title": "S-MODE NCOM Model Output Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2021-10-28",
- "end_date": "2023-05-05",
- "bbox": "-130, 30, -116, 42",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2988721782-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2988721782-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wicy1tb2RlIGwyIHNoaXBib2FyZCBib3R0bGUgZGF0YSB2ZXJzaW9uIDFcIixcIlBPQ0xPVURcIixcIlNNT0RFX0wyX1NISVBCT0FSRF9CT1RUTEVTX1YxXCIsXCIxXCIsMjgzMDA2MDI2MiwzXSIsInVtbSI6IltcInMtbW9kZSBsMiBzaGlwYm9hcmQgYm90dGxlIGRhdGEgdmVyc2lvbiAxXCIsXCJQT0NMT1VEXCIsXCJTTU9ERV9MMl9TSElQQk9BUkRfQk9UVExFU19WMVwiLFwiMVwiLDI4MzAwNjAyNjIsM10ifQ%3D%3D/SMODE_L4_NCOM_V1_1",
- "description": "This dataset contains model output from the Navy Coastal Ocean Model (NCOM) run during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. NCOM model output consists of daily files during the deployment dates of the pilot campaign in Fall 2021, IOP1 in Fall 2022, and IOP2 in Spring 2023. Data consists of ocean variables such as salinity, sea water temperature, water depth, and surface wind stress, and are available in netCDF format. ",
- "license": "proprietary"
- },
{
"id": "SMOS_Open_V7_NA",
"title": "SMOS L1 and L2 Science data",
@@ -134016,6 +117961,32 @@
"description": "This data set contains unprocessed point cloud data created from terrestrial lidar scans (TLS) collected during the SnowEx 2023 campaign from the Bonanza Creek Experimental Forest near Fairbanks, Alaska. Data were collected in October 2022 (snow-off) and March 2023 (snow-on). Digital terrain models (DTMs) derived from the raw point cloud data are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans, Version 1 (SNEX23_BCEF_TLS) data set",
"license": "proprietary"
},
+ {
+ "id": "SNEX23_CRREL_GPR_1",
+ "title": "SnowEx23 CRREL Ground Penetrating Radar V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-08",
+ "end_date": "2023-03-15",
+ "bbox": "-149.598, 68.5257, -149.2186, 68.64",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_CRREL_GPR_1",
+ "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted in Alaska, USA as part of the NASA SnowEx 2023 field campaign. The study site is a coastal tundra environment in the North Slope region of the Alaska coastal plain (Upper Kuparuk Toolik). Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include two-way travel (TWT) time, calculated snow depth, and calculated snow water equivalent (SWE). Raw GPR data are available as SnowEx23 CRREL Ground Penetrating Radar Raw, Version 1.",
+ "license": "proprietary"
+ },
+ {
+ "id": "SNEX23_CRREL_GPR_Raw_1",
+ "title": "SnowEx23 CRREL Ground Penetrating Radar Raw V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2023-03-08",
+ "end_date": "2023-03-15",
+ "bbox": "-149.598, 68.5257, -149.2186, 68.64",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc25vd21pY3JvcGVuIChzbXApIHJhdyBwZW5ldHJhdGlvbiBmb3JjZSBwcm9maWxlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9TTVBcIixcIjFcIiwxOTMxNDI2MDUwLDgxXSIsInVtbSI6IltcInNub3dleDIwIHNub3dtaWNyb3BlbiAoc21wKSByYXcgcGVuZXRyYXRpb24gZm9yY2UgcHJvZmlsZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfU01QXCIsXCIxXCIsMTkzMTQyNjA1MCw4MV0ifQ%3D%3D/SNEX23_CRREL_GPR_Raw_1",
+ "description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted in Alaska, USA as part of the NASA SnowEx 2023 field campaign. The study site is a coastal tundra environment in the North Slope region of the Alaska coastal plain (Upper Kuparuk Toolik). Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include georeferenced multichannel ground-penetrating radargrams stored within .nc files. PRocessed GPR data are available as SnowEx23 CRREL Ground Penetrating Radar, Version 1.",
+ "license": "proprietary"
+ },
{
"id": "SNEX23_CSU_GPR_Raw_1",
"title": "SnowEx23 Colorado State University Ground Penetrating Radar Raw V001",
@@ -134064,7 +118035,7 @@
"bbox": "-149.597, 64.699, -147.49, 70.085",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C3154261714-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3154261714-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SNEX23_MAR22_SD_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_MAR22_SD_1",
"description": "The data set contains snow depth measurements from two regions of Alaska, USA collected during the March 2022 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and a coastal tundra site in the North Slope region (Arctic coastal plain). Snow depth measurements collected from the study sampling sites during the subsequent field season are available as SnowEx23 Mar23 IOP Snow Depth Measurements, Version 1.",
"license": "proprietary"
},
@@ -134077,7 +118048,7 @@
"bbox": "-149.597, 64.699, -147.49, 70.085",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3172387010-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SNEX23_MAR23_SD_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_MAR23_SD_1",
"description": "The data set contains snow depth measurements from five study sites in Alaska, USA; data were collected during the March 2023 intensive observation period (IOP) as part of the NASA SnowEx 2023 field campaign. The study sites include three boreal forest sites in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer\u2019s Loop/Creamer\u2019s Field) and two coastal tundra sites in the North Slope region (Arctic coastal plain and Upper Kuparuk Toolik). Snow depth measurements collected from the study sampling sites during the previous field season are available as SnowEx23 Mar22 IOP Snow Depth Measurements, Version 1.",
"license": "proprietary"
},
@@ -134090,7 +118061,7 @@
"bbox": "-149.597, 64.701, -147.4905, 70.085",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2735033831-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjAgc25vd21pY3JvcGVuIChzbXApIHJhdyBwZW5ldHJhdGlvbiBmb3JjZSBwcm9maWxlcyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyMF9TTVBcIixcIjFcIiwxOTMxNDI2MDUwLDgxXSIsInVtbSI6IltcInNub3dleDIwIHNub3dtaWNyb3BlbiAoc21wKSByYXcgcGVuZXRyYXRpb24gZm9yY2UgcHJvZmlsZXMgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjBfU01QXCIsXCIxXCIsMTkzMTQyNjA1MCw4MV0ifQ%3D%3D/SNEX23_SSA_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_SSA_1",
"description": "This data set contains vertical profiles of snow reflectance and specific surface area (SSA) from the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer\u2019s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik), collected as part of the NASA SnowEx 2023 field campaign in March 2023. Reflectance was measured in snow pits using three different integrating sphere laser devices: an A2 Photonic Sensor IceCube (1310 nm), an IRIS (InfraRed Integrating Sphere) system (1310 nm), and an InfraSnow SSA sensor (945 nm). Measured reflectance values were converted to SSA during data processing. It is recommended that data users work with either the IceCube or IRIS data, as the InfraSnow data was collected primarily for testing of the instrument\u2019s capabilities. Snow-off SSA data from these same study sites are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Snow-off Data, Version 1.",
"license": "proprietary"
},
@@ -134103,7 +118074,7 @@
"bbox": "-149.5964, 64.701, -147.4906, 70.084",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2881748646-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SNEX23_SSA_SO_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_SSA_SO_1",
"description": "This data set reports vertical profiles of snow reflectance and specific surface area (SSA) from two study sites in Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, the Caribou Poker Creek watershed and Farmers Loop/Creamer\u2019s Field), and a coastal tundra environment in the North Slope region of northern Alaska (the Arctic coastal plain and Upper Kuparuk Toolik). Reflectance was measured in situ using an A2 Photonic Sensor IceCube (1310 nm). Measured reflectance values were converted to SSA during data processing following the methods of Gallet et al., (2009). Snow-on SSA data from these same study sites were collected in March 2023 and are available as SnowEx23 Laser Snow Microstructure Specific Surface Area Data, Version 1.",
"license": "proprietary"
},
@@ -134116,7 +118087,7 @@
"bbox": "-149.494, 64.8677, -147.6745, 68.615",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3041011983-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SNEX23_SWE_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_SWE_1",
"description": "This data set presents snow depth, snow water equivalent (SWE), and bulk snow density data collected during the NASA SnowEx 2023 field campaign between March 13-16 2023. Samples were collected using an Adirondack snow sampler (SWE tube) from two study sites: Upper Kuparuk and Toolik (UKT), an arctic tundra environment in Northern Alaska, and Farmers Loop Creamers Field (FLCF), a boreal forest near Fairbanks, Alaska.",
"license": "proprietary"
},
@@ -134129,7 +118100,7 @@
"bbox": "-149.54981, 68.58784, -148.61304, 70.0846",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2917647163-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2917647163-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgbGFzZXIgc25vdyBtaWNyb3N0cnVjdHVyZSBzcGVjaWZpYyBzdXJmYWNlIGFyZWEgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19TU0FcIixcIjFcIiwyNzM1MDMzODMxLDQ5XSIsInVtbSI6IltcInNub3dleDIzIGxhc2VyIHNub3cgbWljcm9zdHJ1Y3R1cmUgc3BlY2lmaWMgc3VyZmFjZSBhcmVhIGRhdGEgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfU1NBXCIsXCIxXCIsMjczNTAzMzgzMSw0OV0ifQ%3D%3D/SNEX23_UW_GPR_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic25vd2V4MjMgY3JyZWwgZ3JvdW5kIHBlbmV0cmF0aW5nIHJhZGFyIHJhdyB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNORVgyM19DUlJFTF9HUFJfUmF3XCIsXCIxXCIsMzIyNzI2NjcxMiwyXSIsInVtbSI6IltcInNub3dleDIzIGNycmVsIGdyb3VuZCBwZW5ldHJhdGluZyByYWRhciByYXcgdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJTTkVYMjNfQ1JSRUxfR1BSX1Jhd1wiLFwiMVwiLDMyMjcyNjY3MTIsMl0ifQ%3D%3D/SNEX23_UW_GPR_1",
"description": "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted at the Arctic Coastal Plain (ACP) site and the Upper Kuparuk/Toolik (UKT) site in northern Alaska during the SnowEx23 field campaign. Data include two-way travel time, derived snow depth, and derived snow water equivalent. Data were collected between 8 - 14 March 2023.",
"license": "proprietary"
},
@@ -134770,45 +118741,6 @@
"description": " This dataset includes SNPP VIIRS-CrIS collocation index product, within the framework of the Multidecadal Satellite Record of Water Vapor, Temperature, and Clouds (PI: Eric Fetzer) funded by NASA\u2019s Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, 2017. The dataset is built upon work by Wang et al. (doi: 10.3390/rs8010076) and Yue (doi:10.5194/amt-15-2099-2022). The short name for this collections is SNPP_CrIS_VIIRS750m_IND ",
"license": "proprietary"
},
- {
- "id": "SOAR1999WMB_Not provided",
- "title": "Aerogeophysical survey of western Marie Byrd Land, Antarctica",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1970-01-01",
- "end_date": "",
- "bbox": "-158, -80.5, -136, -75.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611929-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611929-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_Not%20provided",
- "description": "An aerogeophysical survey of the western Marie Byrd Land region of Antarctica was flown in Dec. 1998-Jan. 1999, measuring surface and base of ice elevation by radar and strength of magnetic and gravity fields. The coverage area measured about 460 by 360 km, long dimension oriented NE, and included the Shirase Coast of the eastern Ross Ice Shelf, much of the Edward VII Peninsula, the Sulzberger Ice Shelf, and the Ford Ranges. Track spacing was either 5.3 or 10.6 km over most of the area. The 60 Mhz radar system usually provided good images of the base of the ice for thicknesses less than 1 km but rarely imaged thicknesses greater than 1.5 km. Determination of gravity anomalies required corrections for acceleration of the aircraft as measured by differential carrier-phase GPS navigation, filtering to remove wavelengths less than 10 km, which are commonly contaminated by aircraft motion, and editing of occasional spikes. The gravity anomalies allow estimation of bed topography under floating ice and under ice too thick for radar imaging. Magnetic anomaly reduction includes a correction for daily variation as measured at the base camp. Data formats for all observations include files for original flight profiles and grids of edited data at 1.06 km node spacing.",
- "license": "proprietary"
- },
- {
- "id": "SOAR1_UTIG_Not provided",
- "title": "Airborne Geophysical Data acquired by the NSF Support Office for Aerogeophysical Research (SOAR), University of Texas Institute for Geophysics, 1994-2000.",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1970-01-01",
- "end_date": "",
- "bbox": "-180, -90, 180, -62.83",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611637-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611637-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/SOAR1_UTIG_Not%20provided",
- "description": "This dataset consists of airborne geophysical data collected between 1994 and 2000 by the National Science Foundation's Support Office for Aerogeophysical Research (SOAR) at the University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. Multiple areas within Antarctica were covered, including both grid and line surveys. Some areas have reduced data products (i.e., surface and bed elevations, ice thickness, gravity and magnetic field anomalies).",
- "license": "proprietary"
- },
- {
- "id": "SOAR2_UTIG_Not provided",
- "title": "Airborne Geophysical Data acquired and reduced by The University of Texas Institute for Geophysics, 2000-2001.",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1970-01-01",
- "end_date": "",
- "bbox": "95, -82, 160, -77",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614557-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614557-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIiwidW1tIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIn0%3D/SOAR2_UTIG_Not%20provided",
- "description": "This dataset consists of airborne geophysical data collected during 2000/01 by researchers at The University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. The data, reduced by UTIG, includes: surface and bed elevations, ice thickness, gravity and magnetic field anomalies. Two distinct surveys in East Antarctica are covered: a grid-based survey of subglacial Lake Vostok and its environs, and a 1200 km line-based transect extending from the Transantarctic Mountains (near 160E, 77S) toward Dome A (near 95E, 82S).",
- "license": "proprietary"
- },
{
"id": "SOCCOM_0",
"title": "Southern Ocean Carbon and Climate Observations and Modeling project (SOCCOM)",
@@ -136902,539 +120834,6 @@
"description": "The SPOT 6 and 7 satellites ensure data continuity with the no longer operational SPOT 5 satellite and provide an archive of very high resolution optical acquisition as well as the possibility to task the satellites for new acquisitions. The ortho-products are automatically generated by the SPOT 6 and 7 ground segment, based on SRTM database or Reference3D when available. The projection available for SPOT 6 and 7 ortho-products is UTM, datum WGS84. Bands combinations: - Pansharpened: colour image at 1.5 m resolution - Bundle: 1.5 m panchromatic image and 6 m multispectral image Geometric processing levels: - Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. - Standard Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. - Tailored ortho: Aside from the Standard Ortho product, when different specifications are needed, a custom orthorectification, with a more precise 3D model provided by the client or acquired for the purpose, can be provided on demand.",
"license": "proprietary"
},
- {
- "id": "SPURS1_ADCP_1.0",
- "title": "SPURS-1 shipboard Acoustic Doppler Current Profiler data for N. Atlantic Endeavor and Knorr cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-06",
- "end_date": "2013-10-13",
- "bbox": "-73, 20, -28, 42",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772166-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772166-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_ADCP_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Acoustic Doppler Current Profilers (ADCP) provide water column current velocity profile observations. Shipborne ADCP data were collected during the 3 US cruises, using the Knorr and Endeavor 300 kHz Workhorse, 75 khz broadband and 75 khz narrowband instruments, and during the Sarmiento cruise using a 76.8 khz broadband ADCP. Corresponding ruise dates were as follows: Knorr: 6 Sept-9 Oct 2012; Sarmiento: 14 Mar-10 Apr 2013, Endeavor: 15 Mar-15 Apr 2013 and 19 Sep-13 Oct 2013. Additionally, lowered ADCP (L-ADCP) measurements were made during the Knorr cruise on every CTD cast and during the Sarmiento cruise. The ADCP data files here (1 per cruise) are for the shipborne ADCP measurements only.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_ARGO_1.0",
- "title": "Argo float CTD profile data within the scope of the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-09",
- "end_date": "2014-08-21",
- "bbox": "-76, 23, -28, 41",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772167-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772167-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/SPURS1_ARGO_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth profiles from the upper 2000m. Approximately 24 floats were deployed during SPURS-1 within the campaign domain, mainly during the Knorr cruise (6 Sept-9 Oct,2012). These were standard Argo floats with the addition of surface temperature and salinity (STS) sensors and acoustic rain gauges (PAL). Data accessible here only include the standard ARGO profiles, not the STS or PAL data. SPURS-1 ARGO data files are oganized per float and each contain profile trajectory series of conductivity, salinity, temperature, pressure, depth observations.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_CTD_1.0",
- "title": "SPURS-1 research vessel CTD profile data for N. Atlantic cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-08-16",
- "end_date": "2013-10-05",
- "bbox": "-63, 23, -37, 43",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772169-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772169-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS1_CTD_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. CTD (Conductivity, Temperature, Depth) profilers were deployed at stations on each of the 5 SPURS-1 cruises. These shipboard lowered CTD probes provide continuous conductivity, salinity, and temperature vertical profile observations at fixed sampling locations. There were 100, 52, 17, 22 and 94 CTD casts made during the Knorr, Endeavor-1, Endeavor-2, Sarmiento, and Thalassa cruises respectively. All CTD data were calibrated using shipboard salinometers using IAPSO standard seawater. SPURS-1 shipboard CTD data files (one per cruise) contain the observational data processed to 1 meter bin depth intervals.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_DRIFTER_1.0",
- "title": "Drifter data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2011-10-19",
- "end_date": "2015-04-07",
- "bbox": "-66, 16, -28, 35",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772174-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772174-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiY3lnbnNzIGxldmVsIDIgc2NpZW5jZSBkYXRhIHJlY29yZCB2ZXJzaW9uIDMuMFwiLFwiUE9DTE9VRFwiLFwiQ1lHTlNTX0wyX1YzLjBcIixcIjMuMFwiLDIyMDU2MjAzMTksMTFdIiwidW1tIjoiW1wiY3lnbnNzIGxldmVsIDIgc2NpZW5jZSBkYXRhIHJlY29yZCB2ZXJzaW9uIDMuMFwiLFwiUE9DTE9VRFwiLFwiQ1lHTlNTX0wyX1YzLjBcIixcIjMuMFwiLDIyMDU2MjAzMTksMTFdIn0%3D/SPURS1_DRIFTER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Approximately 83 drifters were deployed during the SPURS-1 campaign. A drifter is a passive Lagrangian sensor platform consisting of a surface buoy and tethered subsurface drogue. Drifter buoys contain GPS/ARGOS and satellite data transmitters, with sensors measuring temperature and other properties. For SPURS-1, these were standard Surface Velocity Program (SVP) drifters with salinity sensors added (SVP/S). Data for both US and European drifter deployments during SPURS-1 are available here. For each series, drifter data have been aggregrated within single netCDF data filea with their corresponding drifter-IDs and associaciated near-surface salinity, temperaure georeferenced (GPS and ARGOS) trajectory series data.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_ECOMAPPER_1.0",
- "title": "Ecomapper data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-29",
- "end_date": "2012-09-30",
- "bbox": "-39, 26, -38, 27",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772199-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772199-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_ECOMAPPER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Ecomapper or IVER is a portable autonomous underwater vehicle (AUV) capable carrying a range of sensor payloads. For SPURS-1 these included CTD, chlorophyll, oxygen and turbidity sensors. Ecomapper was deployed on two days during the Knorr cruise, 29 and 30 September 2012. The resulting Knorr Ecomapper data files include deployment event information and contain trajectory-depth profile series of chlorophyll, turbidity, oxygen, conductivity, with salinity, and temperature observations from two sensors.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_FLOAT_NEUTRALLYBUOYANT_1.0",
- "title": "Neutrally buoyant float data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-18",
- "end_date": "2013-02-22",
- "bbox": "-39, 21, -34, 26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772227-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772227-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMgdGVycmEgbGV2ZWwgMyBzc3QgdGhlcm1hbCBpciBhbm51YWwgOWttIG5pZ2h0dGltZSB2MjAxOS4wXCIsXCJQT0NMT1VEXCIsXCJNT0RJU19URVJSQV9MM19TU1RfVEhFUk1BTF9BTk5VQUxfOUtNX05JR0hUVElNRV9WMjAxOS4wXCIsXCIyMDE5LjBcIiwyMDM2ODc3OTg5LDEwXSIsInVtbSI6IltcIm1vZGlzIHRlcnJhIGxldmVsIDMgc3N0IHRoZXJtYWwgaXIgYW5udWFsIDlrbSBuaWdodHRpbWUgdjIwMTkuMFwiLFwiUE9DTE9VRFwiLFwiTU9ESVNfVEVSUkFfTDNfU1NUX1RIRVJNQUxfQU5OVUFMXzlLTV9OSUdIVFRJTUVfVjIwMTkuMFwiLFwiMjAxOS4wXCIsMjAzNjg3Nzk4OSwxMF0ifQ%3D%3D/SPURS1_FLOAT_NEUTRALLYBUOYANT_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Neutrally buoyant floats drift and move through the water column providing continuous temperature and salinity profiles via 2 integrated CTDs and GPS surface position location data. Two floats were deployed during SPURS-1, one during the Knorr cruise in September 2012 another deployed during the April 2013 Endeavor cruise. Recoveries were in April and September 2013 respectively. Neutrally buoyant float trajectory profile data include georeferenced time series of salinity, temperature, and pressure/depth observations.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_METEO_1.0",
- "title": "SPURS-1 research vessel Meteorological series data for N. Atlantic Endeavor cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2013-03-14",
- "end_date": "2013-10-13",
- "bbox": "-72, 32, -37, 42",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772266-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772266-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS1_METEO_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. All US SPURS-1 cruises (Knorr: 6 Sept-9 Oct 2012; Endeavor: 15 Mar-15 Apr 2013 and 19 Sep-13 Oct 2013) were equipped with a ship mast meteorological sensor package. An additional set of sophisticated meteorological sensors, including a direct covariance flux package, was installed on the Knorr. These sensors provided along-track atmospheric pressure, temperature, humidity, IR/visible radiation, rain, wind speed and direct covariance flux measurements. Resulting data files (1 per cruise) contain these georeferenced, SPURS-1 research vessel-based meteorological measurements.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_MOORING_PICO_1.0",
- "title": "PICO Mooring data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-14",
- "end_date": "2013-09-30",
- "bbox": "-38, 24, -27, 25",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772306-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772306-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wib21nIGdsYWNpYWwgZWxldmF0aW9ucyBmcm9tIGdsaXN0aW4tYSB2ZXIuIDFcIixcIlBPQ0xPVURcIixcIk9NR19MM19JQ0VfRUxFVl9HTElTVElOQVwiLFwiMVwiLDI0OTE3NzIxNTksN10iLCJ1bW0iOiJbXCJvbWcgZ2xhY2lhbCBlbGV2YXRpb25zIGZyb20gZ2xpc3Rpbi1hIHZlci4gMVwiLFwiUE9DTE9VRFwiLFwiT01HX0wzX0lDRV9FTEVWX0dMSVNUSU5BXCIsXCIxXCIsMjQ5MTc3MjE1OSw3XSJ9/SPURS1_MOORING_PICO_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Two PICO moorings (PICO-1000, PICO-3000) were deployed on the Knorr cruise in September 2012 in the northern and eastern SPURS-1 domain quadrants at N24.74, W37.95 and N24.51, W37.81 respectively. The moorings contained a surface meteorological package and a \"prawler\", a CTD that crawls up and down the mooring line from the near-surface down to about 500m, yielding time series of salinity and temperature profile data at fixed locations. The moorings were recovered on the Endeavor-2 cruise. PICO mooring netCDF files contain georeferenced CTD profile data including salinity, temperature, potential temperature, pressure, depth, meteorological variables, GPS-Lat/Lon, and profile ID.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_MOORING_WHOI_1.0",
- "title": "WHOI mooring CTD, surface flux and meterorological data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-14",
- "end_date": "2013-09-30",
- "bbox": "-38, 24, -38, 24.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772311-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772311-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1widGhlIGxha2Ugb2JzZXJ2YXRpb25zIGJ5IGNpdGl6ZW4gc2NpZW50aXN0cyAmIHNhdGVsbGl0ZXMgKGxvY3NzKSBsZXZlbCAxIHZlcnNpb24gMS4wXCIsXCJQT0NMT1VEXCIsXCJMT0NTU19MMV9WMVwiLFwiMS4wXCIsMjI4NTEzNzg4OSwxNV0iLCJ1bW0iOiJbXCJ0aGUgbGFrZSBvYnNlcnZhdGlvbnMgYnkgY2l0aXplbiBzY2llbnRpc3RzICYgc2F0ZWxsaXRlcyAobG9jc3MpIGxldmVsIDEgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIkxPQ1NTX0wxX1YxXCIsXCIxLjBcIiwyMjg1MTM3ODg5LDE1XSJ9/SPURS1_MOORING_WHOI_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The SPURS central mooring consisted of a surface meteorological package, surface oceanographic instruments, and subsurface, non-real time oceanographic instruments including CTD, ADCP sensors and current meters providing continuous series of temperature, salinity and current profile observations. Meteorological observations include wind speed, air temperature, precipitation, and radiative flux. The mooring was deployed in 5,535 meters of water at N24:34.867, W38 on 14 September 2012, was serviced on 25 March 2013 and recovered on 30 September 2013. WHOI mooring data files include surface and subsurface time series of sea temperature, skin temperature, salinity, conductivity, wind velocity, air temperature, relative humidity, precipitation rate, barometric pressure, shortwave and longwave radiation, short/longwave flux, heat Flux, wind Speed and direction.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_SEAGLIDER_1.0",
- "title": "Seaglider CTD data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-13",
- "end_date": "2013-08-24",
- "bbox": "-39, 23, -34, 26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772312-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772312-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/SPURS1_SEAGLIDER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Seaglider is an autonomous profiler measuring salinity and temperature. Three Seagliders were deployed on the Knorr cruise in September 2012. These were retrieved during the first Endeavor cruise, and then redeployed. The Seagliders typically made loops or butterfly patterns around the central SPURS mooring, diving to 1000 m. Seaglider data files contain vertically resolved trajectory series of conductivity, salinity, temperature, pressure, depth observations.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_SEASOAR_1.0",
- "title": "Seasoar CTD data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2013-03-22",
- "end_date": "2013-04-08",
- "bbox": "-39, 22, -36, 26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772317-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772317-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Vhc2F0IHNjYXR0ZXJvbWV0ZXIgZGVhbGlhc2VkIG9jZWFuIHdpbmQgdmVjdG9ycyAoYXRsYXMpXCIsXCJQT0NMT1VEXCIsXCJBVExBU19ERUFMSUFTRURfU0FTU19MMlwiLFwiMVwiLDI2MTcxOTc2MjcsNF0iLCJ1bW0iOiJbXCJzZWFzYXQgc2NhdHRlcm9tZXRlciBkZWFsaWFzZWQgb2NlYW4gd2luZCB2ZWN0b3JzIChhdGxhcylcIixcIlBPQ0xPVURcIixcIkFUTEFTX0RFQUxJQVNFRF9TQVNTX0wyXCIsXCIxXCIsMjYxNzE5NzYyNyw0XSJ9/SPURS1_SEASOAR_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Seasoar is a towed vehicle equipped with impeller-forced wings that can be rotated on command to allow the vehicle to undulate in the upper ocean. Generally, Seasoar operates between the surface and about 400 meters depth while being towed on faired cable at about eight knots. A typical dive cycle takes about 12 minutes to complete, providing an up and down profile every 3 km. For SPURS-1, a Seasoar was deployed exclusively during the Sarmiento cruise over the period 22 Mar-8 Apr, 2013 and to a maximum depth of 312m. The Seasoar towed sensor system was equipped with dual pumped temperature/conductivity sensors. The Seasoar data in netCDF form here contains a highly processed 1-meter gridded version of the original source dataset, which is comprised of temperature, conductivity, salinity, pressure observations from 1144 casts during 2013 Spring SPURS Cruise.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_TENUSEGLIDER_1.0",
- "title": "Tenuse Glider CTD data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-08-21",
- "end_date": "2012-10-04",
- "bbox": "-39, 24, -35, 27",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772318-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772318-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SPURS1_TENUSEGLIDER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Tenuse (Slocum) glider is an autonomous undulating profiler measuring salinity and temperature. It was deployed from the Thalassa on 21-August and recovered by the Knorr on 4-October-2012. It made a total of about 1400 profiles during that period (1-2 profiles/hour), going from the surface to 200 m. Resulting trajectory profile data from the Tenuse glider include georeferenced CTD observations on salinity, temperature, pressure, and depth.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_TSG_1.0",
- "title": "SPURS-1 research vessel Thermosalinograph series data for N. Atlantic cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-01",
- "end_date": "2013-10-13",
- "bbox": "-73, 20, -14, 42",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772319-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772319-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS1_TSG_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. All SPURS-1 vessels were equipped with a thermosalinograph (TSG). A TSG is an automated measurement system that is coupled to a research vessel's water intake and GPS systems to provide continuous, along-track surface temperature and salinity measurements. Each SPURS cruise employed TSGs whose measurements were calibrated against onboard salinometers. TSG data files are one per cruise. Note that Knorr TSG data are contained coupled in the same file as its shipborne meteorological observations.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_UCTD_1.0",
- "title": "SPURS-1 research vessel Underway-CTD trajectory profile data for N. Atlantic Endeavor and Knorr cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-16",
- "end_date": "2013-04-06",
- "bbox": "-58, 23, -36, 35",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772320-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772320-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS1_UCTD_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. An Underway-CTD (UCTD) was deployed on 2 of the SPURS-1 cruises. An UCTD is a towed CTD instrument providing conductivity, salinity and temperature depth profile observations while underway at up to 20kts. 771 UCTD casts occurred during the Knorr and Endeavor-I cruises (6 Sept-9 Oct 2012 and 15 Mar-15 Apr 2013 respectively) utilizing an Oceanscience instrument. UCTD data files (1 per cruise) each contain the observational data for multiple deployments, binned in 1m depth intervals.",
- "license": "proprietary"
- },
- {
- "id": "SPURS1_WAVEGLIDER_1.0",
- "title": "Waveglider data for the SPURS-1 N. Atlantic field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-09-01",
- "end_date": "2013-03-25",
- "bbox": "-71, 23, -37, 42",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772321-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772321-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1widGhlIGxha2Ugb2JzZXJ2YXRpb25zIGJ5IGNpdGl6ZW4gc2NpZW50aXN0cyAmIHNhdGVsbGl0ZXMgKGxvY3NzKSBsZXZlbCAxIHZlcnNpb24gMS4wXCIsXCJQT0NMT1VEXCIsXCJMT0NTU19MMV9WMVwiLFwiMS4wXCIsMjI4NTEzNzg4OSwxNV0iLCJ1bW0iOiJbXCJ0aGUgbGFrZSBvYnNlcnZhdGlvbnMgYnkgY2l0aXplbiBzY2llbnRpc3RzICYgc2F0ZWxsaXRlcyAobG9jc3MpIGxldmVsIDEgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIkxPQ1NTX0wxX1YxXCIsXCIxLjBcIiwyMjg1MTM3ODg5LDE1XSJ9/SPURS1_WAVEGLIDER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. A Waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During SPURS-1, three wavegliders (ASL2, ASL3 and ASL4) were deployed from the Knorr in September 2012, redeployed in April 2013 (ASL22, ASL32 and ASL42) with final recovery in September. Waveglider trajectories followed a square loop or butterfly pattern around the central SPURS mooring. Sensors included a CTD at the near-surface and another at 6 m depth, a surface current meter, air temperature, atmospheric pressure and wind speed sensors providing continuous along-track observations. NetCDF waveglider data files here contain hour averaged, georeferenced trajectory data for those parameters and depths.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_ADCP_1.0",
- "title": "SPURS-2 shipboard Acoustic Doppler Current Profiler data for E. Tropical Pacific R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-14",
- "end_date": "2017-11-17",
- "bbox": "-157.88, 5.06, -118.32, 21.26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772322-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772322-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_ADCP_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D,SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Shipborne ADCP observations were made during both SPURS-2 R/V Revelle cruises. Acoustic Doppler Current Profilers (ADCP) provide water column current velocity profile observations. The resulting data files available here are for narrowband 75 and 150khz ADCP measurements made during the first cruise, plus narrowband (NB) 75khz and both 75khz and 150khz broadband (BB) ADCP measurements obtained during the second R/V Revelle cruise.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_ARGO_1.0",
- "title": "SPURS-2 Argo float CTD profile data from the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-27",
- "end_date": "2019-03-11",
- "bbox": "-157.88, 5.06, -118.32, 21.26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772323-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772323-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_ARGO_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth (CTD) profiles from the upper 2000m. Twenty five floats were deployed during SPURS-2 within the campaign spatial domain and time period, yielding approximately 1,893 profiles. These were standard Argo floats with the addition of acoustic rain gauges (PAL) in some cases. SPURS-2 ARGO data files are organized per float and profile with the vertical conductivity, salinity, temperature, pressure, depth observations per the netCDF ARGO file specification with some augmented global metadata attributes.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_CFT_1.0",
- "title": "SPURS-2 Controlled Flux Technique (CFT) data for the E. Tropical Pacific field campaign R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-24",
- "end_date": "2017-11-11",
- "bbox": "-157.88, 5.06, -118.32, 21.26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036882419-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036882419-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_CFT_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The Controlled Flux Technique (CFT) is a system for measuring the net heat transfer velocity and turbulent kinetic energy (TKE) dissipation at the ocean surface, and is a useful tool for studying the turbulence generated at the ocean surface by the impact of raindrops. CFT was employed during both SPURS-2 Revelle cruises. It involves a laser heating a small patch of water on the ocean surface, and an infrared imaging camera then tracking the resulting thermal decay. This decay is known to be proportional to the dissipation of TKE at the water surface, which in turn can be used to scale the transfer velocity for the net heat flux. SPURS2 CFT data take the form of a series of .raw video files each with corresponding .met text header files containing the associated file metadata. The CFT data was recorded at 15 frames per second (fps) during the first Revelle cruise in 2016, and at 25 fps during the second in 2017. Matlab CFT reader software are provided by UW/APL and distributed here with the CFT data files.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_CTD_1.0",
- "title": "SPURS-2 research vessel CTD profile data for E. Tropical Pacific R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-16",
- "end_date": "2017-11-17",
- "bbox": "-157.88, 5.06, -118.32, 21.26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772324-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772324-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_CTD_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. CTD (Conductivity, Temperature, Depth) casts were undertaken at stations on each of the two R/V Revelle cruises during SPURS-2. These shipboard lowered CTD probes provide continuous conductivity, salinity, and temperature vertical profile observations at fixed sampling locations. There were a total of 50 and 14 CTD casts made during the first and second R/V Revelle cruises respectively, and the data files available here are for continuous CTD profile data for each of the individual casts deployed. All CTD data were calibrated using shipboard salinometers using IAPSO standard seawater.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_DISDR_1.0",
- "title": "SPURS-2 shipboard disdrometer data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-11",
- "end_date": "2017-11-17",
- "bbox": "-144.783, 5.055, -119.886, 24.204",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781747781-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781747781-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_DISDR_1.0",
- "description": "The SPURS-2 raindrop ODM-470 disdrometer dataset was collected from the ship during both the 2016 and 2017 cruises. Please see file global attributes and Klepp et al. (2015, 2018) for information on the disdrometer: http://dx.doi.org/10.1016/j.atmosres.2014.12.014, https://doi.org/10.1038/sdata.2018.122 . As explained in the references and global attributes, small drops that cause voltage drops < 0.12 V (i.e. drops with diameters < 0.44 mm) cannot be distinguished from noise by this instrument, and are thus missed. This undercounting of small drops cannot be corrected, and prevents accurate estimation of DSD parameters such as Nw, D0, Dm with any confidence or precision since the minimum detectable drop size is close to the median drop size of tropical oceanic rain (Thompson et al. 2015, https://doi.org/10.1175/JAS-D-14-0206.1). Nonetheless, this dataset provides estimates of drop counts as a function of drop size for the remaining rain drops > 0.44 mm in diameter, and their associated rain rates and liquid water contents. The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. ",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_DRIFTER_1.0",
- "title": "SPURS-2 Drifter data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-06-20",
- "end_date": "2019-03-14",
- "bbox": "-179.999, -10.074, -124.78, 32.283",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772335-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772335-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_DRIFTER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A drifter is a passive Lagrangian sensor platform consisting of a surface buoy and tethered subsurface drogue. Drifter buoys contain GPS/ARGOS and satellite data transmitters, with sensors measuring temperature and other properties. For SPURS-2, a range of drifters were deployed during both Revelle SPURS-2 cruises. These included: standard Surface Velocity Program (SVP) drifters with salinity sensors added (SVP/S), Surface Contact Salinity drifters, CODE, SADOS, AOML and CARTHE-SUPRACT drifters. For each series, drifter data have been aggregrated within single netCDF data files with their corresponding drifter-IDs and associated near-surface salinity, temperature georeferenced (GPS and ARGOS) trajectory series data.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_FLOAT_NEUTRALLYBUOYANT_1.0",
- "title": "SPURS-2 Neutrally buoyant float data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-26",
- "end_date": "2016-12-29",
- "bbox": "-125.015, 7.855, -108.951, 11.891",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772336-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772336-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_FLOAT_NEUTRALLYBUOYANT_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Neutrally buoyant floats (also known as Mixed Layer Floats - MLF) drift and move through the water column providing continuous CTD temperature and salinity profiles and GPS surface position location data. One float was deployed in SPURS-2 during the first Revelle cruise in August 2016 and recovered in December 2016 after 3.5 months about 1800 km east of the central mooring. The MLF data are provided in netCDF file format with standards compliant metadata.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_LADYAMBER_1.0",
- "title": "SPURS-2 S/V Lady Amber underway Thermosalinograph and Sea Snake data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-29",
- "end_date": "2018-04-30",
- "bbox": "-163.925, 0.085, -126.978, 35.627",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772337-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772337-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_LADYAMBER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Underway physical data from 6 cruises undertaken by the schooner Lady Amber during the SPURS-2 field campaign include along-track meteorological, salinity snake and fixed-hull CTD measurements at 1m and 2 m intake depths. Comparisons with nearby Revelle data facilitate evaluation of uncertainties arising from collecting data from a sailboat, and the characterization of small-scale spatial variability in the ocean and atmosphere. Data files are in netCDF CD/ACDD standards compliant format.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_METEO_1.0",
- "title": "SPURS-2 Research vessel Meteorological series data for the E. Tropical Pacific field campaign R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-20",
- "end_date": "2017-11-15",
- "bbox": "-144.874, 5.055, -119.886, 24.203",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772338-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772338-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_METEO_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A ship mast meteorological sensor package with an additional set of sophisticated sensors, including a direct covariance flux package was set up on both SPURS-2 Revelle cruises. These provided georeferenced, along-track atmospheric pressure, temperature, humidity, IR/visible radiation, rain, and wind speed and air-sea flux measurements. Resulting data are packaged in netCDF files (one per cruise) with standards compliant metadata.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_MOORING_CENTRAL_1.0",
- "title": "SPURS-2 Central mooring CTD, surface flux and meterorological data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-16",
- "end_date": "2017-11-16",
- "bbox": "-125.03, 10.05, -125.03, 10.05",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772339-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772339-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_MOORING_CENTRAL_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and countercurrent. The SPURS central mooring consisted of a surface meteorological package, surface oceanographic instruments, and subsurface, non-real time oceanographic instruments including CTD, ADCP sensors and point current meters providing continuous series of temperature, salinity and current profile data. Meteorological observations included wind speed, air temperature, precipitation, and radiative flux. The mooring was deployed in 4769 m depth of water on 24 August 2016, at N10:03.0481, W125:01.939, and was recovered on November 11, 2017. WHOI mooring netCDF data files include surface and subsurface time series of sea temperature, skin temperature, salinity, conductivity, wind velocity, air temperature, relative humidity, precipitation rate, barometric pressure, shortwave and longwave radiation, short/longwave flux, heat Flux, wind Speed and direction.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_MOORING_PICO_1.0",
- "title": "SPURS-2 PICO mooring data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-22",
- "end_date": "2017-11-03",
- "bbox": "-125, 9.047, -124.958, 11",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772340-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772340-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_MOORING_PICO_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Two PICO moorings (PMEL 9N and 11N) were deployed on the Revelle cruise in September 2016 in northern and southern domain quadrants at 9deg2.830N, 124deg59.833W and N10:59.0498, W124:57.531 respectively. These moorings contained a surface meteorological package and a \"prawler\", a CTD that crawls up and down the mooring line from 4-450m, yielding time series of salinity and temperature profile data at fixed locations (nominally 8 profiles per day). The moorings were recovered on the second Revelle cruise (Oct. 22 & Nov. 2, 2017). PICO mooring netCDF files contain georeferenced CTD profile data including salinity, temperature, potential temperature, pressure, depth, surface meteorological package data, GPS-Lat/Lon, and profile ID.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_PALS_1.0",
- "title": "SPURS-2 Passive Accoustic Listener (PAL) data from ARGO float deployments during the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-25",
- "end_date": "2018-08-22",
- "bbox": "-129.129, 8.861, -116.57, 12.106",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772341-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772341-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_PALS_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth (CTD) profiles from the upper 2000m. Four of the Twenty five floats deployed during SPURS-2 within the campaign spatial domain and time period were additionally equipped with acoustic rain gauges (PAL - Passive Acoustic Listeners). SPURS-2 ARGO-PAL data files are in netCDF/CF-compliant data format and organized per float. Float identifiers associated with ARGO CTD data are referenced in the metadata of the related PAL files.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_RAINRADAR_1.0",
- "title": "SPURS-2 research vessel along track SEA-POL rain radar imaging data for E. Tropical Pacific R/V Revelle-2 cruise",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2017-10-22",
- "end_date": "2017-11-10",
- "bbox": "-125.57, 5.06, -119.89, 24.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772345-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772345-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_RAINRADAR_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The SEA-POL rain radar instrument was employed over the period 22 Oct.-10 Nov. 2017 during the second SPURS-2 R/V Revelle cruise. SEA-POL (seagoing-polarimetric radar) is a C-band, Doppler polarimetric radar system providing 240-degree sector coverage centered on the ships bow via its 1-degree beam width antenna. SEA-POL was used primarily to map rainfall in SPURS-2. The resulting dataset is a series of gridded netCDF data files for a 20 day period at 5-20 minute intervals comprised of rain rate and rain accumulation fields.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_RAWINSONDE_1.0",
- "title": "SPURS-2 Rawinsonde meteorological data for the E. Tropical Pacific field campaign R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-20",
- "end_date": "2017-11-10",
- "bbox": "-133.216, 5.139, -123.32, 12.35",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772347-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772347-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_RAWINSONDE_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A Rawinsonde is a helium balloon carrying meteorological instruments and a radar target, enabling the velocity of atmospheric parameters to be measured. During the first Revelle cruise, rawinsondes were launched every 6-hours, providing a total of 85 profiles of temperature, humidity, wind speed and direction through the marine atmospheric boundary layer within the SPURS-2 domain. Similarly, during the second Revelle cruise, rawinsondes were deployed four-times daily within the study area over the 3-week period. SPURS2 rawinsonde data are available as netCDF, CF-compliant data files.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_SAILDRONE_1.0",
- "title": "SPURS-2 Saildrone data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2017-10-16",
- "end_date": "2017-11-17",
- "bbox": "-125, 8.5, -124.5, 10.9",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772348-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772348-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_SAILDRONE_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Two saildrones were deployed over a month period during the second SPURS-2 R/V Revelle cruise in 2017. Saildrone is a state-of-the-art, remotely guided, wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months. It is equipped with a suite of instruments and sensors providing high quality, georeferenced, near real-time, multi-parameter surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. Saildrone data files are in netCDF format and CF/ACDD/NCEI compliant. They contain the saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) for the entire cruise at 1 minute temporal resolution.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_SALINITYSNAKE_1.0",
- "title": "SPURS-2 Surface Salinity Snake data for the E. Tropical Pacific field campaign R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-16",
- "end_date": "2017-11-16",
- "bbox": "-155.8, 5.06, -117.3, 32.3",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772349-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772349-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_SALINITYSNAKE_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The Salinity Snake (SS) measures sea surface salinity in the top 1 - 2 cm of the water column, which is the radiometric depth of L-Band satellite radiometers such as on Aquarius/SAC-D, SMAP and SMOS satellites that measure salinity remotely. The SS consists of four key components: a 10m boom mast, a hose, which is deployed from this boom, a powerful self-priming peristaltic pump which transports a constant stream of a seawater/air emulsion, and a shipboard apparatus, which filters, de-bubbles, sterilizes and analyses the salinity of the water. The SS was deployed during both SPURS-2 Revelle cruises. SS data series are provided in netCDF file format, one per cruise.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_SEAGLIDER_1.0",
- "title": "SPURS-2 Seaglider data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-24",
- "end_date": "2017-11-07",
- "bbox": "-126.122, 8.994, -122.128, 12.022",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772350-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772350-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_SEAGLIDER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The Seaglider is an autonomous profiler measuring salinity and temperature. A total of five Seagliders were deployed over the two SPURS2 cruises. Three Seagliders were deployed on the first Revelle cruise in August 2016, recovered by the Lady Amber after 7 months and redeployed, to be retrieved finally during the second cruise in November 2017. One of the Seagliders was deployed alongside and tracked the Lagrangian array across the study region, diving to depths of 1000m. All Seaglider data files are in netCDF format with standards compliant metadata.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_SSP_1.0",
- "title": "SPURS-2 Towed surface salinity profile (SSP) data for the E. Tropical Pacific R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-27",
- "end_date": "2017-11-11",
- "bbox": "-140.969, 6.546, -123.203, 16.502",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772351-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772351-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_SSP_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The towed Surface Salinity Profiler (SSP) platform is a converted paddleboard with a keel and surfboard outrigger that is tethered to the ship and skims the sea surface beyond the ships wake. Below the paddleboard are salinity and temperature sensors at depths of 10, 30, 50 and 100cm, and microstructure sensors that measure turbulence. The SSP was deployed 19 times throughout the first SPURS-2 cruise, totaling over 200 hours of measurements, and a further 15 times during the 2017 cruise. SSP deployment is most informative when there is a rain event leading to near-surface ocean stratification. The SSP then measures how the ocean changes over the periods before, during, and after rain, and how rainwater mixes into the ocean during recovery. All SSP data files are in netCDF format with standards compliant metadata.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_UCTD_1.0",
- "title": "SPURS-2 research vessel Underway CTD (uCTD) data for the E. Tropical Pacific R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-21",
- "end_date": "2017-11-11",
- "bbox": "-126.51, 5.09, -123.51, 13.97",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772352-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772352-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_UCTD_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. An underway-CTD (uCTD) is a towed profiling CTD instrument providing salinity and temperature observations from the surface to 500m while underway at up to 12 kts. A total of 262 and 501 uCTD casts were performed during the first and second Revelle cruises respectively. uCTD data files (1 per cruise) are in netCDF format and each contain the observational data for multiple deployments, binned in 6 or 8m depth intervals.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_UNDERWAY_pCO2_DIC_pH_1.0",
- "title": "SPURS-2 underway surface pCO2, DIC and pH data for the E. Tropical Pacific field campaign R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2017-10-21",
- "end_date": "2017-11-13",
- "bbox": "-125.572, 1.383, -121.545, 16.411",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772353-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772353-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_UNDERWAY_pCO2_DIC_pH_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. During both Revelle cruises, continuous measurements of the partial pressure of CO2 (pCO2), dissolved inorganic carbon (DIC), and pH at surface (0m) and 5m depths were made on water pumped continuously from the Salinity Snake and the ship's intake port. In addition to these measurements, observational data from the salinity snake and thermosalinograph also include water temperature and salinity time series at the same depths. The temporal resolution of the observations range from 3 seconds (pH) to 3 minutes (DIC). All pCO2 and associated underway data comprising this dataset are in netCDF file format with standards compliant metadata. Due to issues with the quality of the 2016 underway data, only the data file for the 2017 cruise is available.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_USPS_1.0",
- "title": "SPURS-2 research vessel Underway Salinity Profiling System (USPS) data for the E. Tropical Pacific R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-15",
- "end_date": "2017-11-15",
- "bbox": "-157, 5.06, -119.5, 25.84",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772360-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772360-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_USPS_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Underway surface profiling systems (USPS) are automated measurement systems coupled to a research vessels water intake and GPS systems. They provide continuous, along-track surface temperature and salinity measurements at depths of 2, 3 and 5 m using through-hull ports in the bow of the ship. Both SPURS-2 cruises had USPS and associated thermosalinograph (TSG) instrumentation, with measurements calibrated against onboard salinometers. There is one USPS netCDF containing the complete series for each of the 2 cruises.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_WAMOS_1.0",
- "title": "SPURS-2 research vessel along track WAMOS wave radar data for the second R/V Revelle cruise in the E. Tropical Pacific",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2017-10-05",
- "end_date": "2017-11-16",
- "bbox": "-125.57, 5.06, -119.89, 24.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772361-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772361-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_WAMOS_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The WaMoS wave radar instrument was available during the second R/V Revelle cruise of SPURS-2. WaMoS is a radar-based wave and surface current monitoring system providing wave field imagery and station time series or along track data series for key wave parameter in near near-real time. The single resulting SPURS-2 WaMos data file contains along track wave measurement from the R/V Revelle over the duration of this cruise (5 Oct. to 16 Nov. 2017) for the following essential wave field parameters: wave period, wave length, and wave direction, as well as surface current speed and direction.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_WAVEGLIDER_1.0",
- "title": "SPURS-2 Waveglider data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-24",
- "end_date": "2017-11-10",
- "bbox": "-126.4, 6.1, -108.8, 13.8",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772363-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772363-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_WAVEGLIDER_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A Waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. For SPURS-2, sensors included a CTD at the near-surface and another at 6 m depth, providing continuous salinity and temperature observations plus air temperature and wind measurements. Three wavegliders (ASL22, 32, 42) were deployed from the Revelle in August 2016 and again in November 2017 before final retrieval at the conclusion on the second cruise. Waveglider trajectories followed a 20x20km square loop around the moorings and a butterfly pattern around the neutrally-buoyant float. NetCDF waveglider data files here (one per platform) contain hour averaged, georeferenced trajectory data for those parameters and depths.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_XBAND_1.0",
- "title": "SPURS-2 shipboard X-band radar backscatter data for the E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2017-10-21",
- "end_date": "2017-11-13",
- "bbox": "-129.131, 8.927, -122.151, 10.355",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781659132-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781659132-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_XBAND_1.0",
- "description": "The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58\u201365, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_XBAND_IMG_1.0",
- "title": "SPURS-2 shipboard X-band radar backscatter images for the 2016 E. Tropical Pacific field campaign",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-31",
- "end_date": "2016-09-22",
- "bbox": "-129.131, 8.927, -122.151, 10.355",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2931233351-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2931233351-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SPURS2_XBAND_IMG_1.0",
- "description": "The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58\u201365, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.",
- "license": "proprietary"
- },
- {
- "id": "SPURS2_XBT_1.0",
- "title": "SPURS-2 research vessel Expendable Bathythermograph (XBT) profile data for E. Tropical Pacific R/V Revelle cruises",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-08-14",
- "end_date": "2017-11-15",
- "bbox": "-157.88, 5.06, -118.32, 21.26",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772372-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491772372-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIiwidW1tIjoiW1wic3B1cnMtMSAgc2hpcGJvYXJkIGFjb3VzdGljIGRvcHBsZXIgY3VycmVudCBwcm9maWxlciBkYXRhIGZvciBuLiBhdGxhbnRpYyAgZW5kZWF2b3IgYW5kIGtub3JyIGNydWlzZXNcIixcIlBPQ0xPVURcIixcIlNQVVJTMV9BRENQXCIsXCIxLjBcIiwyNDkxNzcyMTY2LDldIn0%3D/SPURS2_XBT_1.0",
- "description": "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Expendable bathythermograph (XBT) casts were undertaken at stations during both of the SPURS-2 R/V Revelle cruises. Launched off the side of the ship, XBT probes provide vertical profile measurements of the water column at fixed locations. There were a total of 25 and 11 XBT deployments made during the first and second R/V Revelle cruises respectively. There is one XBT data file per cruise, each containing the temperature profile data from all instrument deployments undertaken during that cruise.",
- "license": "proprietary"
- },
{
"id": "SRB_REL3.0_SW_3HRLY_MONTHLY_UTC_NC_1",
"title": "Surface Radiation Budget (SRB) Release 3.0 Shortwave 3 hourly monthly UTC data in netcdf format",
@@ -137717,7 +121116,7 @@
"bbox": "-180, -56, 180, 60",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268445-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268445-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMvdGVycmErYXF1YSBzdXJmYWNlIHJlZmxlY3RhbmNlIChiYW5kcyA4LTEyKSBmcm9tIG1haWFjLCBkYWlseSBsMyBnbG9iYWwgMC4wNWRlZyBjbWcgdjA2MVwiLFwiTFBDTE9VRFwiLFwiTUNEMTlBMUNNR09cIixcIjYxXCIsMjU2NTgwNzcyOSwyM10iLCJ1bW0iOiJbXCJtb2Rpcy90ZXJyYSthcXVhIHN1cmZhY2UgcmVmbGVjdGFuY2UgKGJhbmRzIDgtMTIpIGZyb20gbWFpYWMsIGRhaWx5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDYxXCIsXCJMUENMT1VEXCIsXCJNQ0QxOUExQ01HT1wiLFwiNjFcIiwyNTY1ODA3NzI5LDIzXSJ9/SRTMSWBD_003",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/SRTMSWBD_003",
"description": "The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs)(https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the Water Body Data Shapefiles and Raster Files (~30 m) product. Version 3.0 contains the vectorized coastline masks used by National Geospatial-Intelligence Agency (NGA) in the editing, called the SRTM Waterbody Data (SWBD), in shapefile and rasterized formats. The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the NGA (previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and \ufb02ew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60\u00b0 N and 56\u00b0 S latitude to account for 80% of Earth\u2019s total landmass. ",
"license": "proprietary"
},
@@ -137747,19 +121146,6 @@
"description": "The Shuttle Solar Backscatter Ultraviolet (SSBUV) Level-2 Ozone data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flying on the NOAA satellites. Data are available in the ASCII AMES text format. Ozone profiles of the upper atmosphere and total column ozone values are available for the following time periods: Flight #1: 1989 October 19, 20, 21. Flight #2: 1990 October 7, 8, 9. Flight #3: 1991 August 3, 4, 5, 6. Flight #4: 1992 March 29, 31. Flight #5: 1993 April 9, 11, 13, 15, 16. Flight #6: 1994 March 14, 15, 17. Flight #7: 1994 November 5, 7, 10, 13. Flight #8: 1996 January 12, 16, 18. SSBUV measures spectral ultraviolet radiances backscattered by the earth's atmosphere. For the ozone measurements the instrument steps over wavelengths between 252.2 and 339.99 nm while viewing the earth in the nadir position (50 km x 50 km footprint at nadir) at 19 pressure levels between 0.3 mb and 100 mb.",
"license": "proprietary"
},
- {
- "id": "SSEC-AMRC-AIRCRAFT_Not provided",
- "title": "Aircraft meteorological reports over Antarctica",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2004-04-04",
- "end_date": "2015-08-31",
- "bbox": "-180, -90, 180, 0",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214605495-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214605495-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/SSEC-AMRC-AIRCRAFT_Not%20provided",
- "description": "The AMRC has been archiving the Aircraft data since the 2000's in the ftp archive. Products used to be made in real-time, but data collection has ended starting 31 August, 2015.",
- "license": "proprietary"
- },
{
"id": "SSFR_irradiance_841_1",
"title": "SAFARI 2000 Solar Spectral Flux Radiometer Data, Southern Africa, Dry Season 2000",
@@ -138982,1085 +122368,6 @@
"description": "Measurements made near southwest Florida in 2010 and 2011.",
"license": "proprietary"
},
- {
- "id": "SWOT_ATTD_RECONST_2.0_2.0",
- "title": "SWOT Satellite Reconstructed Attitude Data",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799436707-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799436707-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_ATTD_RECONST_2.0_2.0",
- "description": "Satellite attitude reconstructed from combination of onboard gyro and star tracker data. Daily 26-hour files centered at 12:00:00 (TAI) provide quaternions to represent the rotation between the spacecraft body-fixed KaRIn Metering Structure Reference Frame and the inertial Geocentric Celestial Reference Frame. Available in netCDF-4 file format with latency of < 1.5 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1B_HR_SLC_1.1_1.1",
- "title": "SWOT Level 1B High-Rate Single-look Complex Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1980-01-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162616-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162616-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L1B_HR_SLC_1.1_1.1",
- "description": "High rate data processed to single-look complex SAR images for each antenna. Gridded tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1B_HR_SLC_2.0_2.0",
- "title": "SWOT Level 1B High-Rate Single-look Complex Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438119-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438119-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L1B_HR_SLC_2.0_2.0",
- "description": "High rate data processed to single-look complex SAR images for each antenna. Gridded tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1B_LR_INTF_1.0_1.0",
- "title": "SWOT Level 1B Low-Rate Interferogram Data Product, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "2023-11-23",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989340-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989340-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L1B_LR_INTF_1.0_1.0",
- "description": "Interferograms for each of the 9 Doppler beams formed and spatially averaged (low rate) by the On Board Processor, corrected on the ground for phase biases (inherent to the processing applied on board). The geometry of the measurements is also reported for use in subsequent processing. Gridded; full swath for each half orbit. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1B_LR_INTF_1.1_1.1",
- "title": "SWOT Level 1B Low-Rate Interferogram Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2023-03-29",
- "end_date": "2023-07-11",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2746459618-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2746459618-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L1B_LR_INTF_1.1_1.1",
- "description": "Interferograms for each of the 9 Doppler beams formed and spatially averaged (low rate) by the On Board Processor, corrected on the ground for phase biases (inherent to the processing applied on board). The geometry of the measurements is also reported for use in subsequent processing. Gridded; full swath for each half orbit. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1B_LR_INTF_2.0_2.0",
- "title": "SWOT Level 1B Low-Rate Interferogram Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438202-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438202-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L1B_LR_INTF_2.0_2.0",
- "description": "Interferograms for each of the 9 Doppler beams formed and spatially averaged (low rate) by the On Board Processor, corrected on the ground for phase biases (inherent to the processing applied on board). The geometry of the measurements is also reported for use in subsequent processing. Gridded; full swath for each half orbit. Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1_DORIS_RINEX_1.0_1.0",
- "title": "SWOT Level 1 Onboard Tracking Data from Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1950-01-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989333-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989333-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_L1_DORIS_RINEX_1.0_1.0",
- "description": "Tracking data measurements from the Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) payload receiver onboard SWOT. The tracking data are generated using signals from DORIS ground beacons and are used to perform precise orbit determination of the SWOT spacecraft. They are also used to compute the precise orbit ephemeris (POE), and the medium-accuracy orbit ephemeris (MOE) used for SWOT data processing. Distributed as one file per day in RINEX file format, available with latency of < 2 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L1_GPSP_RINEX_1.0_1.0",
- "title": "SWOT Level 1 Onboard Tracking Data from Global Positioning System Payload (GPSP)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989336-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989336-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_L1_GPSP_RINEX_1.0_1.0",
- "description": "GPS tracking data measurements from the GPS Payload (GPSP) receiver onboard SWOT. The tracking data are generated by the GPSP using signals from the GPS constellation of satellites and are used to perform precise orbit determination of the SWOT spacecraft. They are also used to compute the precise orbit ephemeris (POE), and the medium-accuracy orbit ephemeris (MOE) used for SWOT data processing. Distributed as one RINEX file per data downlink regardless of temporal coverage, available with latency of < 2 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_LakeAvg_2.0_2.0",
- "title": "SWOT Level 2 Lake Cycle-Averaged Data Product, Version 2.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438221-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438221-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_HR_LakeAvg_2.0_2.0",
- "description": "Cycle average and aggregation of lake pass data within predefined hydrological basins. Basin for each cycle. Available in Shapefile file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_LakeSP_1.1_1.1",
- "title": "SWOT Level 2 Lake Single-Pass Vector Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162595-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162595-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_HR_LakeSP_1.1_1.1",
- "description": "Shapefiles of lakes identified in prior lake database and detected features not in the prior river or lake databases. Lake attributes include water surface elevation, area, derived storage change. Full swath covering individual continents for each half orbit. Available in Shapefile file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_LakeSP_2.0_2.0",
- "title": "SWOT Level 2 Lake Single-Pass Vector Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438230-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438230-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_HR_LakeSP_2.0_2.0",
- "description": "The SWOT Level 2 Lake Single-Pass Vector Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a PLD-oriented feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_obs_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_prior_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_unassigned_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_LakeSP_obs_2.0_2.0",
- "title": "SWOT Level 2 Lake Single-Pass Vector Obs Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438239-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438239-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_HR_LakeSP_obs_2.0_2.0",
- "description": "The SWOT Level 2 Lake Single-Pass Vector Obs Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains observation-oriented feature datasets of lakes identified in the prior lake database (PLD).",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_LakeSP_prior_2.0_2.0",
- "title": "SWOT Level 2 Lake Single-Pass Vector Prior Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438247-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438247-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_HR_LakeSP_prior_2.0_2.0",
- "description": "The SWOT Level 2 Lake Single-Pass Vector Prior Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains feature datasets of lakes identified in the PLD.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_LakeSP_unassigned_2.0_2.0",
- "title": "SWOT Level 2 Lake Single-Pass Vector Unassigned Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438254-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438254-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_HR_LakeSP_unassigned_2.0_2.0",
- "description": "The SWOT Level 2 Lake Single-Pass Vector Unassigned Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains feature datasets of unassigned water features that were not identified in the PLD or PRD.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_PIXCVec_1.1_1.1",
- "title": "SWOT Level 2 Water Mask Pixel Cloud Auxiliary Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2762949418-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2762949418-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_PIXCVec_1.1_1.1",
- "description": "Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_PIXCVec_2.0_2.0",
- "title": "SWOT Level 2 Water Mask Pixel Cloud Auxiliary Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438260-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438260-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_PIXCVec_2.0_2.0",
- "description": "Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_PIXC_1.1_1.1",
- "title": "SWOT Level 2 Water Mask Pixel Cloud Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162620-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162620-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_PIXC_1.1_1.1",
- "description": "Point cloud of water mask pixels (\u201cpixel cloud\u201d) with geolocated heights, backscatter, geophysical fields, and flags. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_PIXC_2.0_2.0",
- "title": "SWOT Level 2 Water Mask Pixel Cloud Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438266-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438266-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_PIXC_2.0_2.0",
- "description": "Point cloud of water mask pixels (\u201cpixel cloud\u201d) with geolocated heights, backscatter, geophysical fields, and flags. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_Raster_1.1_1.1",
- "title": "SWOT Level 2 Water Mask Raster Image Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2765423410-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2765423410-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_Raster_1.1_1.1",
- "description": "Rasterized water surface elevation and inundation extent in geographically fixed tiles at resolutions of 100 m and 250 m in a Universal Transverse Mercator projection grid. Provides rasters with water surface elevation, area, water fraction, backscatter, geophysical information. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats. Gridded scene (approx 128x128 km2, georeferenced); full swath. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_Raster_100m_2.0_2.0",
- "title": "SWOT Level 2 Water Mask Raster Image 100m Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438280-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438280-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_Raster_100m_2.0_2.0",
- "description": "The SWOT Level 2 Water Mask Raster Image 100m Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.\\r\\n
Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at 100 meter horizontal resolution in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_Raster_2.0_2.0",
- "title": "SWOT Level 2 Water Mask Raster Image Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438271-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438271-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_Raster_2.0_2.0",
- "description": "The SWOT Level 2 Water Mask Raster Image Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at resolutions of 100 m and 250 m in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_100m_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_250m_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_Raster_250m_2.0_2.0",
- "title": "SWOT Level 2 Water Mask Raster Image 250m Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438288-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438288-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_Raster_250m_2.0_2.0",
- "description": "The SWOT Level 2 Water Mask Raster Image 250m Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.\\r\\n
Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at 250 meter horizontal resolution in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_RiverAvg_2.0_2.0",
- "title": "SWOT Level 2 River Cycle-Averaged Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438293-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438293-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_RiverAvg_2.0_2.0",
- "description": "Cycle average and aggregation of river reach pass data within predefined hydrological basins. Basin for each cycle. Available in Shapefile file format.
Please note that this collection contains SWOT Version C science data products.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_RiverSP_1.1_1.1",
- "title": "SWOT Level 2 River Single-Pass Vector Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162622-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2758162622-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_RiverSP_1.1_1.1",
- "description": "Shapefiles of river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in prior river database. Reach attributes include water surface elevation, slope, width, derived discharge. Full swath covering individual continents for each half orbit. Available in Shapefile file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_RiverSP_2.0_2.0",
- "title": "SWOT Level 2 River Single-Pass Vector Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438299-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438299-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_RiverSP_2.0_2.0",
- "description": "The SWOT Level 2 River Single-Pass Vector Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_node_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_reach_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_RiverSP_node_2.0_2.0",
- "title": "SWOT Level 2 River Single-Pass Vector Node Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438301-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438301-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_RiverSP_node_2.0_2.0",
- "description": "The SWOT Level 2 River Single-Pass Vector Node Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river nodes. ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_HR_RiverSP_reach_2.0_2.0",
- "title": "SWOT Level 2 River Single-Pass Vector Reach Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438303-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438303-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_HR_RiverSP_reach_2.0_2.0",
- "description": "The SWOT Level 2 River Single-Pass Vector Reach Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river reaches. ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_1.0_1.0",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2357536365-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2357536365-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_1.0_1.0",
- "description": "Sea surface height data product with data from the KaRIn swath spanning 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. Gridded; full swath for each half orbit. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_1.1_1.1",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product, Version 1.1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2746459620-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2746459620-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_1.1_1.1",
- "description": "Sea surface height data product with data from the KaRIn swath spanning 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. Gridded; full swath for each half orbit. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_2.0_2.0",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438306-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438306-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_2.0_2.0",
- "description": "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 \"native\" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_Basic_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_WindWave_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_Expert_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_Unsmoothed_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_BASIC_2.0_2.0",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - Basic, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465428-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465428-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_BASIC_2.0_2.0",
- "description": "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Basic Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 \"native\" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the \"Basic\" file from each L2 SSH product, which contains a limited set of variables and is aimed at the general user.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_EXPERT_2.0_2.0",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - Expert, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465497-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465497-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_EXPERT_2.0_2.0",
- "description": "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Expert Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 \"native\" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the \"Expert\" file from each L2 SSH product, which contain all related variables and is intended for expert users.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_UNSMOOTHED_2.0_2.0",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - Unsmoothed, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465503-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465503-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_UNSMOOTHED_2.0_2.0",
- "description": "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Unsmoothed Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 \"native\" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the \"Unsmoothed\" file from each L2 SSH product, which includes all related variables on the finer resolution \"native\" grid with minimal smoothing applied.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_LR_SSH_WINDWAVE_2.0_2.0",
- "title": "SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - WindWave, Version C",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465507-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465507-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_LR_SSH_WINDWAVE_2.0_2.0",
- "description": "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Windwave Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the \"calibration\" or \"fast-sampling\" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the \"science\" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 \"native\" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the \"Windwave\" file from each L2 SSH product, which includes significant wave height (SWH), normalized radar cross section (NRCS or backscatter cross section or sigma0), wind speed derived from sigma0 and SWH, model information on wind and waves, and quality flags.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_GDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438313-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438313-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_NALT_GDR_2.0_2.0",
- "description": "The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_SSHA_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_GDR_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_SGDR_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_GDR_GDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - GDR",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465509-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465509-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAxIG9uYm9hcmQgdHJhY2tpbmcgZGF0YSBmcm9tIGdsb2JhbCBwb3NpdGlvbmluZyBzeXN0ZW0gcGF5bG9hZCAoZ3BzcClcIixcIlBPQ0xPVURcIixcIlNXT1RfTDFfR1BTUF9SSU5FWF8xLjBcIixcIjEuMFwiLDIyOTY5ODkzMzYsMjFdIn0%3D/SWOT_L2_NALT_GDR_GDR_2.0_2.0",
- "description": "The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_GDR_SGDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - SGDR",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465518-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465518-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_GDR_SGDR_2.0_2.0",
- "description": "The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_GDR_SSHA_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - SSHA",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465522-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465522-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_GDR_SSHA_2.0_2.0",
- "description": "The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989380-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989380-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_1.0_1.0",
- "description": "The SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The IGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) and preliminary values for certain auxiliary data. The IGDR data are distributed as one file per half orbit in netCDF-4 file format with a nominal latency of < 1.5 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438335-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438335-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_2.0_2.0",
- "description": "The SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The IGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) and preliminary values for certain auxiliary data. The IGDR data are distributed as one file per half orbit in netCDF-4 file format with a nominal latency of < 1.5 days.
This collection is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_SSHA_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_GDR_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_SGDR_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_GDR_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - GDR, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2628598809-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2628598809-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_GDR_1.0_1.0",
- "description": "Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_GDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - GDR",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465526-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465526-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_GDR_2.0_2.0",
- "description": "Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_SGDR_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SGDR, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2628600898-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2628600898-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_SGDR_1.0_1.0",
- "description": "Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_SGDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SGDR",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465529-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465529-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_SGDR_2.0_2.0",
- "description": "Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_SSHA_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SSHA, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2628598397-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2628598397-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_SSHA_1.0_1.0",
- "description": "Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_IGDR_SSHA_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SSHA",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465538-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465538-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_IGDR_SSHA_2.0_2.0",
- "description": "Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_OGDR_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989383-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989383-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_OGDR_1.0_1.0",
- "description": "The SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record (OGDR) with Waveforms Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The OGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the onboard DORIS orbit ephemeris, with predicted values for certain auxiliary data and no GIM ionosphere model values. The OGDR data are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_OGDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438345-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438345-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_OGDR_2.0_2.0",
- "description": "The SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record (OGDR) with Waveforms Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The OGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the onboard DORIS orbit ephemeris, with predicted values for certain auxiliary data and no GIM ionosphere model values. The OGDR data are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.
This collection is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_SSHA_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_GDR_2.0
",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_OGDR_GDR_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - GDR, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2628595723-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2628595723-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_OGDR_GDR_1.0_1.0",
- "description": "Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_OGDR_GDR_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - GDR",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465542-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465542-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_OGDR_GDR_2.0_2.0",
- "description": "Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_OGDR_SSHA_1.0_1.0",
- "title": "SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - SSHA, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2628593693-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2628593693-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_OGDR_SSHA_1.0_1.0",
- "description": "Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_NALT_OGDR_SSHA_2.0_2.0",
- "title": "SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - SSHA",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465544-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799465544-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_NALT_OGDR_SSHA_2.0_2.0",
- "description": "Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_2.0 ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_RAD_GDR_2.0_2.0",
- "title": "SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Data Product",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438350-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438350-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_RAD_GDR_2.0_2.0",
- "description": "The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Geophysical Data Record (GDR) dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. This radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Precise Orbit Ephemeris (POE) and analyzed calibrations. The data are available with latency of < 90 days and distributed in netCDF-4 file format.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_RAD_IGDR_1.0_1.0",
- "title": "SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989388-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989388-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_RAD_IGDR_1.0_1.0",
- "description": "The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_RAD_IGDR_2.0_2.0",
- "title": "SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438351-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438351-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_RAD_IGDR_2.0_2.0",
- "description": "The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_RAD_OGDR_1.0_1.0",
- "title": "SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Data Product, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989390-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989390-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_L2_RAD_OGDR_1.0_1.0",
- "description": "The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Geophysical Data Record (OGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The operational radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. They were processed using the onboard DORIS orbit ephemeris and preliminary calibrations. They are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L2_RAD_OGDR_2.0_2.0",
- "title": "SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Data Product",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438353-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438353-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIiwidW1tIjoiW1wic3dvdCBsZXZlbCAyIG5hZGlyIGFsdGltZXRlciBnZW9waHlzaWNhbCBkYXRhIHJlY29yZCB3aXRoIHdhdmVmb3JtcyAtIGdkclwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9OQUxUX0dEUl9HRFJfMi4wXCIsXCIyLjBcIiwyNzk5NDY1NTA5LDhdIn0%3D/SWOT_L2_RAD_OGDR_2.0_2.0",
- "description": "The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Geophysical Data Record (OGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The operational radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. They were processed using the onboard DORIS orbit ephemeris and preliminary calibrations. They are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L3_LR_SSH_1.0_1.0",
- "title": "SWOT-AVISO Level 3 KaRIn Low Rate Sea Surface Height Data Products, Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3206530454-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3206530454-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_L3_LR_SSH_1.0_1.0",
- "description": "This SWOT_L3_LR_SSH product provides ocean topography measurements obtained from the SWOT KaRIn and Nadir altimeter instruments, merged into a single variable. The dataset includes measurements from KaRIn swaths on both sides of the image, while the measurements from the Nadir altimeter are located in the central columns. In the areas between the Nadir track and the two KaRIn swaths, as well as on the outer edges of each swath (restricted to cross-track distances ranging from 10 to 60 km), default values are expected. This is a cross-calibrated product from multiple missions that contains only the ocean topography content necessary for thematic research (e.g., oceanography, geodesy) and related applications. This product is designed to be simple and ready-to-use, and can be combined with other altimetry missions. The SWOT_L3_LR_SSH product is a research-orientated extension of the L2_LR_SSH product, distributed by the SWOT project (NASA/JPL and CNES). This L3 product is managed by the SWOT Science Team project DESMOS.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_L4_DAWG_SOS_DISCHARGE_1",
- "title": "SWOT Sword of Science River Discharge Products Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2777002894-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2777002894-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_L4_DAWG_SOS_DISCHARGE_1",
- "description": "The SWOT Sword of Science River Discharge Products dataset from the Surface Water and Ocean Topography (SWOT) mission and produced by the Discharge Algorithm Working Group (DAWG), provides estimates of river discharge derived from the SWOT Level 2 River Single-Pass Vector Data Product, and includes both unconstrained and gauge constrained estimates that leverage in-situ measurements. The SWOT mission is implemented jointly by NASA and Centre National D'Etudes Spatiales (CNES) to provide valuable data and information about the world's oceans and its terrestrial surface water such as lakes, rivers, and wetlands. Sword of Science data products are generated from the open-source SWOT Confluence program and contain river discharge parameter estimates as well as discharge time series for both river reaches and river nodes, following the SWOT River Database (SWORD) structure. Granules from both constrained and unconstrained branches are composed of prior information (e.g., mean annual flow predicted by global hydrological models) and the resulting discharge estimates. Priors and results files for both constrained and unconstrained branches are available in netCDF format. Users are encouraged to reference the SWOT Confluence documentation and notebook tutorials for full documentation of the data structure and variables available. Development of the SWOT Confluence program as well as the Sword of Science data products was funded by NASA\u2019s Advanced Information Systems Technology (AIST) program.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_MOE_1.0_1.0",
- "title": "SWOT Medium-accuracy Orbit Ephemeris (MOE)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989401-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989401-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_MOE_1.0_1.0",
- "description": "Medium-accuracy Orbit Ephemeris (MOE) providing position and velocity vectors of satellite center of mass used in forward stream processing. MOE products are organized into daily files, spanning 26 hours and centered at 12:00:00 (TAI) of each day (i.e., from day D-1 23:00 to day D+1 01:00 TAI time). Available in netCDF-4 file format with latency of < 1.5 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_POE_2.0_2.0",
- "title": "SWOT Precise Orbit Ephemeris (POE)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438359-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2799438359-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_POE_2.0_2.0",
- "description": "Precise Orbit Ephemeris (POE) providing position and velocity vectors of satellite center of mass used in the first SWOT reprocessing. POE products are organized into daily files, spanning 26 hours and centered at 12:00:00 (TAI) of each day (i.e., from day D-1 23:00 to day D+1 01:00 TAI time). Available in netCDF-4 file format with latency of < 35 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_BPR_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign NOAA Bottom Pressure Recorders (BPR)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-04",
- "end_date": "2020-01-19",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635767-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635767-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_BPR_V1_1.0",
- "description": "This dataset provides the bottom pressure measurements collected during the 2019-2020 SWOT prelaunch field campaign conducted around the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. The Paroscienti\ufb01c Digiquartz pressure sensor was used. The data are recorded on a 15-second interval.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_GLIDER_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign Rutgers Slocum Gliders",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-05",
- "end_date": "2019-12-28",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635647-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635647-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_GLIDER_V1_1.0",
- "description": "This dataset provides the Conductivity, Temperature, and Depth measurements carried by a Slocum glider. The measurements were collected during the 2019-2020 SWOT prelaunch field campaign conducted near the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. It has 883 CTD profiles with glider diving depths varying between 500 m and 1000 m. Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_GPS_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign JPL Global Positioning Systems (GPS)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-05",
- "end_date": "2020-01-19",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635778-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635778-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_GPS_V1_1.0",
- "description": "This dataset provides the 1Hz time series of the sea surface height measured by a surface buoy equipped with a Global Position System (GPS). The GPS-mooring was deployed by the SWOT prelaunch field campaign conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The GPS measurements represent the total sea surface height including the Inverted barometer component. The same mooring also carries fixed-depth CTD sensors https://doi.org/10.5067/SWTPR-CTD11. They were used together with atmospheric pressure and bottom pressure measurements to close the sea surface equation (Wang et al., 2022). The campaign also deployed another two CTD moorings, a slocum glider, and a Pressure Inverted Echo Sounder (PIES). Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_PIES_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Pressure-sensing Inverted Echo Sounder (PIES)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-06",
- "end_date": "2020-01-18",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635776-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635776-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_PIES_V1_1.0",
- "description": "This dataset provides the in-situ measurements from a Pressure-sensing Inverted Echo Sounder (PIES) deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The campaign also deployed three CTD moorings, a slocum glider, and another bottom pressure recorder. The PIES measurements include bottom pressure and the round-trip travel time from the IES, which can be used to derive equivalent steric height through regression. Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_PRAWLER_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign NOAA Prawlers",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-05",
- "end_date": "2020-01-06",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635764-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635764-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_PRAWLER_V1_1.0",
- "description": "This dataset provides the conductivity, temperature and depth (CTD) profiles from a Prawler profiler mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_SIOCTD_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Moored Fixed-Depth CTDs",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-05",
- "end_date": "2020-01-18",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635779-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635779-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_SIOCTD_V1_1.0",
- "description": "This dataset provides the conductivity, temperature and depth (CTD) measurements from the fixed-depth CTD sensors mounted on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. These fixed-depth CTDs are below 500 m while the upper part of the mooring has a WireWalker (WW) profiler. The CTD data from WW is available here https://doi.org/10.5067/SWTPR-WW001. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_WHOICTD_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign WHOI/NOAA Moored Fixed-Depth CTDs",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-04",
- "end_date": "2020-01-19",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2235488579-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2235488579-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_WHOICTD_V1_1.0",
- "description": "This dataset provides the conductivity, temperature and depth (CTD) measurements from the fixed-depth CTD sensors mounted on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. These fixed-depth CTDs cover the full depth from the ocean surface to the bottom. The surface buoy is equipped with a Global Positioning System (GPS) https://doi.org/10.5067/SWTPR-GPS01. There is also an adjacent bottom pressure recorder https://doi.org/10.5067/SWTPR-BPR01. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_PRELAUNCH_L2_WW_V1_1.0",
- "title": "SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Mooring WireWalker (WW)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2019-09-05",
- "end_date": "2019-12-03",
- "bbox": "-125.2, 35.8, -125, 36.2",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635761-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2229635761-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIiwidW1tIjoiW1wic3B1cnMtMiBzL3YgbGFkeSBhbWJlciB1bmRlcndheSB0aGVybW9zYWxpbm9ncmFwaCBhbmQgc2VhIHNuYWtlIGRhdGEgZm9yIHRoZSBlLiB0cm9waWNhbCBwYWNpZmljIGZpZWxkIGNhbXBhaWduXCIsXCJQT0NMT1VEXCIsXCJTUFVSUzJfTEFEWUFNQkVSXCIsXCIxLjBcIiwyNDkxNzcyMzM3LDZdIn0%3D/SWOT_PRELAUNCH_L2_WW_V1_1.0",
- "description": "This dataset provides the conductivity, temperature and depth (CTD) measurements from the CTD sensors on a WireWalker profiler on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The WW samples the upper 500 m of the water column, while the deep ocean below 500 m are measured by fixed-depth CTDs https://doi.org/10.5067/SWTPR-CTD01. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SAT_COM_1.0_1.0",
- "title": "SWOT Satellite Center of Mass Position Data",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-12-16",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989490-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2296989490-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_SAT_COM_1.0_1.0",
- "description": "Satellite center of mass position with respect to its reference point. The SAT_COM product provides the X/Y/Z coordinates of satellite center of mass in the KaRIn metering and structure reference frame (KMSF) with associated information of the origin of the variation. This is a historical product and the most recently available file provides a complete history since launch. Available in netCDF-4 file format with latency of < 1.5 days.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_KARIN_SSH_ECCO_LLC4320_CALVAL_V1_1",
- "title": "SWOT Simulated Level-2 KaRIn SSH from MITgcm ECCO LLC4320 for Cal/Val Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2011-11-13",
- "end_date": "2012-11-12",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2147947806-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2147947806-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_KARIN_SSH_ECCO_LLC4320_CALVAL_V1_1",
- "description": "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) SSH data from KaRIn. The simulated data were generated by the \"ECCO LLC4320\" global ocean simulation. ECCO, which means \"Estimating the Circulation and Climate of the Ocean\", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_KARIN_SSH_ECCO_LLC4320_SCIENCE_V1_1",
- "title": "SWOT Simulated Level-2 KaRIn SSH from MITgcm ECCO LLC4320 for Science Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2011-11-13",
- "end_date": "2012-11-12",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2152044763-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2152044763-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_KARIN_SSH_ECCO_LLC4320_SCIENCE_V1_1",
- "description": "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) SSH data from KaRIn. The simulated data were generated by the \"ECCO LLC4320\" global ocean simulation. ECCO, which means \"Estimating the Circulation and Climate of the Ocean\", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1_1",
- "title": "SWOT Simulated Level-2 KaRIn SSH from GLORYS for Cal/Val Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2014-04-12",
- "end_date": "2015-12-31",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2152046451-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2152046451-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1_1",
- "description": "This dataset provides simulated sea surface height data product that resembles data which will be collected by KaRIn. Swaths span 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. SSH data produced by GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_SCIENCE_V1_1",
- "title": "SWOT Simulated Level-2 KaRIn SSH from GLORYS for Science Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2014-04-12",
- "end_date": "2015-12-31",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2152045877-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2152045877-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_SCIENCE_V1_1",
- "description": "This dataset provides simulated sea surface height data product that resembles data which will be collected by KaRIn. Swaths span 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. SSH data produced by GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_NADIR_SSH_ECCO_LLC4320_CALVAL_V1_1",
- "title": "SWOT Simulated Level-2 Nadir SSH from MITgcm ECCO LLC4320 for Cal/Val Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2011-11-13",
- "end_date": "2012-11-12",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2158344213-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2158344213-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_NADIR_SSH_ECCO_LLC4320_CALVAL_V1_1",
- "description": "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data stream from the Poseidon 3C nadir altimeter. The simulated data were generated by the \"ECCO LLC4320\" global ocean simulation. ECCO, which means \"Estimating the Circulation and Climate of the Ocean\", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_NADIR_SSH_ECCO_LLC4320_SCIENCE_V1_1",
- "title": "SWOT Simulated Level-2 Nadir SSH from MITgcm ECCO LLC4320 for Science Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2011-11-13",
- "end_date": "2012-11-12",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2158348170-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2158348170-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_NADIR_SSH_ECCO_LLC4320_SCIENCE_V1_1",
- "description": "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data stream from the Poseidon 3C nadir altimeter. The simulated data were generated by the \"ECCO LLC4320\" global ocean simulation. ECCO, which means \"Estimating the Circulation and Climate of the Ocean\", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_NADIR_SSH_GLORYS_CALVAL_V1_1",
- "title": "SWOT Simulated Level-2 Nadir SSH from GLORYS for Cal/Val Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2014-04-12",
- "end_date": "2015-12-31",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2158348264-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2158348264-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_NADIR_SSH_GLORYS_CALVAL_V1_1",
- "description": "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data from the Poseidon 3C nadir altimeter. The simulated data are from the Global Ocean Reanalysis and Simulations (GLORYS). SSH data from GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_L2_NADIR_SSH_GLORYS_SCIENCE_V1_1",
- "title": "SWOT Simulated Level-2 Nadir SSH from GLORYS for Science Version 1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2014-04-12",
- "end_date": "2015-12-31",
- "bbox": "-180, -77.6, 180, 77.6",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2158350299-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2158350299-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_L2_NADIR_SSH_GLORYS_SCIENCE_V1_1",
- "description": "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data from the Poseidon 3C nadir altimeter. The simulated data are from the Global Ocean Reanalysis and Simulations (GLORYS). SSH data from GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_NA_CONTINENT_L2_HR_LAKESP_V1_1.0",
- "title": "SWOT Simulated Level 2 North America Continent High Rate Lake Vectors Product Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-08-22",
- "bbox": "-113, 24, -82, 52",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2263384453-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2263384453-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_SIMULATED_NA_CONTINENT_L2_HR_LAKESP_V1_1.0",
- "description": "This dataset contains a simulated lake product to be provided by the Surface Water and Ocean Topography (SWOT) mission with a focus on the North America continent. The product is derived from the high-rate (HR) measurements produced by the SWOT main instrument, a Ka-band Radar Interferometer. These data are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product consists of three shapefiles: 1) an observation-oriented shapefile of lakes identified in the Prior Lake Database (PLD); 2) a PLD-oriented shapefile of lakes identified in the PLD; 3) a shapefile of unassigned features that have not been identified as a lake in the PLD nor as a river in the Prior River Database (PRD). Lake attributes include water surface elevation, area, and uncertainty estimates. The identified lake shapes inherit the SWOT swath width that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXCVEC_V1_1.0",
- "title": "SWOT Simulated Level 2 North America Continent KaRIn High Rate Pixel Cloud Vector Attribute Product Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-08-22",
- "bbox": "-113, 24, -82, 52",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2263383657-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2263383657-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXCVEC_V1_1.0",
- "description": "This dataset provides a simulated water surface elevation product that resembles the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. This product is complementary to the L2_HR_PIXC_V1 product. It provides a less noisy, height-constrained geolocation (latitude, longitude, and height) of the L2_HR_PIXC_V1 pixels. In addition, this product provides an identifier associated with each pixel. The identifier contains the information of the river and/or lake features pulled from the Prior River Database (PRD) or in the Prior Lake Database (PLD). Note that this is a simulated SWOT product and not suited for any scientific exploration.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1_1.0",
- "title": "SWOT Simulated Level 2 North America Continent KaRIn High Rate Water Mask Pixel Cloud Product Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-08-22",
- "bbox": "-113, 24, -82, 52",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2263383386-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2263383386-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBsZXZlbCAyIHJhZGlvbWV0ZXIgYnJpZ2h0bmVzcyB0ZW1wZXJhdHVyZXMgYW5kIHRyb3Bvc3BoZXJlIG9wZXJhdGlvbmFsIGRhdGEgcHJvZHVjdFwiLFwiUE9DTE9VRFwiLFwiU1dPVF9MMl9SQURfT0dEUl8yLjBcIixcIjIuMFwiLDI3OTk0MzgzNTMsNl0iLCJ1bW0iOiJbXCJzd290IGxldmVsIDIgcmFkaW9tZXRlciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyBhbmQgdHJvcG9zcGhlcmUgb3BlcmF0aW9uYWwgZGF0YSBwcm9kdWN0XCIsXCJQT0NMT1VEXCIsXCJTV09UX0wyX1JBRF9PR0RSXzIuMFwiLFwiMi4wXCIsMjc5OTQzODM1Myw2XSJ9/SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1_1.0",
- "description": "This dataset includes simulated water surface elevations that resemble the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. The primary product contains the following: 1. Geolocated elevations (latitude, longitude, and height) 2. Classification mask (water/land flags, and water fraction) 3. Surface areas (projected pixel area on the ground) 4. Relevant data needed to compute and aggregate height and area uncertainties. Additional information includes: 1. Meta data (global instrument parameters) 2. Time varying parameters (TVP), which include sensor position, velocity, altitude, and time 3. Noise power estimates 4. Quality flags 5. Interferogram measurements (power and phase) and range and azimuth indices 6. Geophysical and crossover-calibration correction values. These additional fields are provided to improve the utility of the product and to facilitate generation of downstream products. Note that this is a simulated SWOT product and not suited for any scientific exploration.",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_NA_CONTINENT_L2_HR_RASTER_V1_1.0",
- "title": "SWOT Simulated Level 2 North America Continent High Rate Raster Product Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-08-22",
- "bbox": "-113, 24, -82, 52",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2263383790-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2263383790-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_NA_CONTINENT_L2_HR_RASTER_V1_1.0",
- "description": "This dataset contains a simulated rasterized water surface elevation and inundation-extent product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. This is a derived product through resampling the upstream dataset L2_HR_PIXC_V1 and L2_HR_PIXCVEC_V1 onto a uniform grid over the North America continent. A uniform grid is superimposed onto the pixel cloud from the source products, and all pixel-cloud samples within each grid cell are aggregated to produce a single value per raster cell. The raster data are produced geographically fixed tiles at resolutions of 100 m and 250 m in a Universal Transverse Mercator projection grid. Note that this is a simulated SWOT product and not suited for any scientific exploration. ",
- "license": "proprietary"
- },
- {
- "id": "SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1_1.0",
- "title": "SWOT Simulated Level 2 North America Continent High Rate River Vectors Product Version 1.0",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2022-08-01",
- "end_date": "2022-08-22",
- "bbox": "-113, 24, -82, 52",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2263384307-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2263384307-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1_1.0",
- "description": "This dataset contains a simulated river data product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this dataset is a subset for the North America continent. This product is derived from the measurements produced by the main SWOT instrument, the Ka-band Interferometer. They are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product contains two shapefiles: 1) river reaches (approximately 10 km long) identified in the prior river database (PRD); and 2) river nodes (approximately 200 m spacing) identified in prior river database (PRD). Each river reach is divided into a number of nodes. Attributes include water surface elevation, slope, width, and uncertainty estimates. As they are derived from SWOT KaRIn measurements, each granule covers an area that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration.",
- "license": "proprietary"
- },
{
"id": "Sahel_Water_Bodies_1269_1",
"title": "Location and Permanency of Water Bodies in the African Sahel Region from 2003-2011",
@@ -140152,19 +122459,6 @@
"description": "This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas.",
"license": "proprietary"
},
- {
- "id": "Scambos_PLR1441432_Not provided",
- "title": "A Low-power, Quick-install Polar Observation System ('AMIGOS-II') for Monitoring Climate-ice-ocean Interactions",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2014-06-01",
- "end_date": "2015-05-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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%3D/Scambos_PLR1441432_Not%20provided",
- "description": "The investigators propose to build and test a multi-sensor, automated measurement station for monitoring Arctic and Antarctic ice-ocean environments. The system, based on a previously successful design, will incorporate weather and climate sensors, camera, snow and firn sensors, instruments to measure ice motion, ice and ocean thermal profilers, hydrophone, and salinity sensors. This new system will have two-way communications for real-time data delivery and is designed for rapid deployment by a small field group.",
- "license": "proprietary"
- },
{
"id": "SciSat-1.Ace.FTS.and.Maestro_NA",
"title": "SciSat-1: ACE-FTS and MAESTRO",
@@ -141868,253 +124162,6 @@
"description": "TCTE3TSID Version 004 is the final version of this data product, and supersedes all previous versions. The Total Solar Irradiance (TSI) Calibration Transfer Experiment (TCTE) data set TCTE3TSID contains daily averaged total solar irradiance (a.k.a solar constant) data collected by the Total Irradiance Monitor (TIM) instrument covering the full wavelength spectrum. The data are normalized to one astronomical unit (1 AU). The TCTE/TIM instrument measures the Total Solar Irradiance (TSI), monitoring changes in incident sunlight to the Earth's atmosphere using an ambient temperature active cavity radiometer to a designed absolute accuracy of 350 parts per million (ppm, 1 ppm=0.0001% at 1-sigma), and a precision and long-term relative accuracy of 10 ppm per year. Due to the small size of these data and to maximize ease of use to end-users, each delivered TSI product contains science results for the entire mission in an ASCII column formatted file. Early in the mission, between Dec 2013 and May 2014, TCTE acquired daily measurements to establish good overlap with the SORCE TIM. From May 2014 to Dec 2014, the TCTE measurements were reduced to weekly, which greatly subsample the true solar variability, and thus have little value for solar research. Beginning in Jan 2015, daily obervations were resumed. The mission ended June 30, 2019. ",
"license": "proprietary"
},
- {
- "id": "TELLUS_GIA_L3_0.5-DEG_V1.0_1.0",
- "title": "TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1900-01-01",
- "end_date": "2100-12-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2689796236-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2689796236-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/TELLUS_GIA_L3_0.5-DEG_V1.0_1.0",
- "description": "Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 0.5-degree global grid compatible with the JPL Mascon solution, provided in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GIA_L3_1-DEG_V1.0_1.0",
- "title": "TELLUS GRACE Level-3 1.0-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1900-01-01",
- "end_date": "2100-12-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2689796219-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2689796219-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIiwidW1tIjoiW1wic3dvdCBzaW11bGF0ZWQgbGV2ZWwgMiBub3J0aCBhbWVyaWNhIGNvbnRpbmVudCBoaWdoIHJhdGUgbGFrZSB2ZWN0b3JzIHByb2R1Y3QgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIlNXT1RfU0lNVUxBVEVEX05BX0NPTlRJTkVOVF9MMl9IUl9MQUtFU1BfVjFcIixcIjEuMFwiLDIyNjMzODQ0NTMsMTddIn0%3D/TELLUS_GIA_L3_1-DEG_V1.0_1.0",
- "description": "Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 1.0-degree global grid in netCDF format.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GLDAS-NOAH-3.3_TWS-ANOMALY_MONTHLY_3.3",
- "title": "Monthly gridded Global Land Data Assimilation System (GLDAS) from Noah-v3.3 land hydrology model for GRACE and GRACE-FO over nominal months",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036877565-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036877565-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMgdGVycmEgbGV2ZWwgMyBzc3QgdGhlcm1hbCBpciBhbm51YWwgOWttIG5pZ2h0dGltZSB2MjAxOS4wXCIsXCJQT0NMT1VEXCIsXCJNT0RJU19URVJSQV9MM19TU1RfVEhFUk1BTF9BTk5VQUxfOUtNX05JR0hUVElNRV9WMjAxOS4wXCIsXCIyMDE5LjBcIiwyMDM2ODc3OTg5LDEwXSIsInVtbSI6IltcIm1vZGlzIHRlcnJhIGxldmVsIDMgc3N0IHRoZXJtYWwgaXIgYW5udWFsIDlrbSBuaWdodHRpbWUgdjIwMTkuMFwiLFwiUE9DTE9VRFwiLFwiTU9ESVNfVEVSUkFfTDNfU1NUX1RIRVJNQUxfQU5OVUFMXzlLTV9OSUdIVFRJTUVfVjIwMTkuMFwiLFwiMjAxOS4wXCIsMjAzNjg3Nzk4OSwxMF0ifQ%3D%3D/TELLUS_GLDAS-NOAH-3.3_TWS-ANOMALY_MONTHLY_3.3",
- "description": "The total land water storage anomalies are aggregated from the Global Land Data Assimilation System (GLDAS) NOAH model. GLDAS outputs land water content by using numerous land surface models and data assimilation. For more information on the GLDAS project and model outputs please visit https://ldas.gsfc.nasa.gov/gldas. The aggregated land water anomalies (sum of soil moisture, snow, canopy water) provided here can be used for comparison against and evaluations of the observations of Gravity Recovery and Climate Experiment (GRACE) and GRACE-FO over land. The monthly anomalies are computed over the same days during each month as GRACE and GRACE-FO data, and are provided on monthly 1 degree lat/lon grids in NetCDF format.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC-GRFO_MASCON_CRI_GRID_RL06.1_V3_RL06.1Mv03",
- "title": "JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.1 Version 03",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2536962485-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2536962485-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/TELLUS_GRAC-GRFO_MASCON_CRI_GRID_RL06.1_V3_RL06.1Mv03",
- "description": "This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.1Mv03). This version of the data employs a Coastal Resolution Improvement (CRI) filter that reduces signal leakage errors across coastlines. These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology phenomena. The water storage/height anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field variations in terms of geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the solution inversion to intrinsically remove correlated error. Thus, these Mascon grids do not need to be destriped or smoothed, like traditional spherical harmonic gravity solutions. The complete Mascon solution consists of 4,551 relatively independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. A subset of these individual mascons span coastlines, and contain mixed land and ocean mass change signals. In a post-processing step, the CRI filter is applied to those mixed land/ocean Mascons to separate land and ocean mass. The land mask used to perform this separation is provided in the same directory as this dataset. Since the individual mascons act as an inherent smoother on the gravity field, a set of optional gain factors (for continental hydrology applications) that can be applied to the solution to study mass change signals at sub-mascon resolution is also provided within the same data directory as the Mascon data. This RL06.1Mv03 is an updated version of the previous Tellus JPL Mascon RL06Mv02 (DOI, 10.5067/TEMSC-3JC62). RL06.1Mv03 differs from RL06Mv02 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1Mv03 uses the ACH data product For more information, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. For a detailed description of the CRI filter implementation, please see Wiese et al., 2016, doi:10.1002/2016WR019344.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC-GRFO_MASCON_GRID_RL06.1_V3_RL06.1Mv03",
- "title": "JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height JPL Release 06.1 Version 03",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2536982552-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2536982552-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/TELLUS_GRAC-GRFO_MASCON_GRID_RL06.1_V3_RL06.1Mv03",
- "description": "This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.1Mv03). These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology phenomena. The water storage/height anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field variations in terms of geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the solution inversion to intrinsically remove correlated error. Thus, these Mascon grids do not need to be destriped or smoothed, like traditional spherical harmonic gravity solutions. The complete Mascon solution consists of 4,551 relatively independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. It should be noted that this dataset does not correct for leakage errors across coastlines; it is therefore recommended only for users who want to apply their own algorithm to separate between land and ocean mass very near coastlines. This RL06.1Mv03 is an updated version of the previous Tellus JPL Mascon RL06Mv02 (DOI, 10.5067/TEMSC-3JC62). RL06.1Mv03 differs from RL06Mv02 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1Mv03 uses the ACH data product. For more information, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. This product is intended for expert use only; other users are encouraged to use the CRI-filtered Mascon dataset, which is available here: https://podaac.jpl.nasa.gov/dataset/TELLUS_GRAC-GRFO_MASCON_GRID_RL06.1_V3 ",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC_L3_CSR_RL06_LND_v04_RL06v04",
- "title": "CSR TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-05",
- "end_date": "2017-10-18",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042515-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042515-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/TELLUS_GRAC_L3_CSR_RL06_LND_v04_RL06v04",
- "description": "The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC_L3_CSR_RL06_OCN_v04_RL06v04",
- "title": "CSR TELLUS GRACE Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.0 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "2017-10-25",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042363-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042363-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/TELLUS_GRAC_L3_CSR_RL06_OCN_v04_RL06v04",
- "description": "The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC_L3_GFZ_RL06_LND_v04_RL06v04",
- "title": "GFZ TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-05",
- "end_date": "2017-10-18",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042566-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042566-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_GRAC_L3_GFZ_RL06_LND_v04_RL06v04",
- "description": "The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC_L3_GFZ_RL06_OCN_v04_RL06v04",
- "title": "GFZ TELLUS GRACE Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.0 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "2017-10-25",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042412-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042412-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_GRAC_L3_GFZ_RL06_OCN_v04_RL06v04",
- "description": "The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC_L3_JPL_RL06_LND_v04_RL06v04",
- "title": "JPL TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "2017-10-18",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042612-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042612-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/TELLUS_GRAC_L3_JPL_RL06_LND_v04_RL06v04",
- "description": "The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRAC_L3_JPL_RL06_OCN_v04_RL06v04",
- "title": "JPL TELLUS GRACE Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.0 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-04-04",
- "end_date": "2017-10-25",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042455-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2077042455-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/TELLUS_GRAC_L3_JPL_RL06_OCN_v04_RL06v04",
- "description": "The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_CSR_RL06.1_LND_v04_RL06.1v04",
- "title": "CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.1 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537041932-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537041932-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/TELLUS_GRFO_L3_CSR_RL06.1_LND_v04_RL06.1v04",
- "description": "The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_CSR_RL06.1_OCN_v04_RL06.1v04",
- "title": "CSR TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.1 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537034072-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537034072-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/TELLUS_GRFO_L3_CSR_RL06.1_OCN_v04_RL06.1v04",
- "description": "The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_CSR_RL06.2_LND_v04_RL06.2v04",
- "title": "CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.2 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767593027-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767593027-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/TELLUS_GRFO_L3_CSR_RL06.2_LND_v04_RL06.2v04",
- "description": "The TELLUS_GRFO_L3_CSR_RL06.2_LND_v04 dataset produced by the the Center for Space Research (CSR) GRACE-FO program derives the terrestrial water storage anomaly using the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellite data. GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 \u2013 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes.
The RL06.2 v04 monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors.
Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.2 is an updated release version of the previous RL06.1. The difference is only in the handling of GPS data set during Level-2 processing. GPS handling for RL06.2 was re-assessed due to steady degradation in low degrees during late 2022 and 2023 in RL06.1. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in ASCII format have adopted the YAML encoding header, which is in full compliance with the PO.DAAC metadata best practices. ",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_CSR_RL06.2_OCN_v04_RL06.2v04",
- "title": "CSR TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.2 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767594383-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767594383-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIiwidW1tIjoiW1wiYXF1YXJpdXMgb2ZmaWNpYWwgcmVsZWFzZSBsZXZlbCAzIHdpbmQgc3BlZWQgc3RhbmRhcmQgbWFwcGVkIGltYWdlIG1pc3Npb24gY3VtdWxhdGl2ZSB2NS4wXCIsXCJQT0NMT1VEXCIsXCJBUVVBUklVU19MM19XSU5EX1NQRUVEX1NNSV9DVU1VTEFUSVZFX1Y1XCIsXCI1LjBcIiwyNDkxNzU3MTczLDddIn0%3D/TELLUS_GRFO_L3_CSR_RL06.2_OCN_v04_RL06.2v04",
- "description": "This TELLUS_GRFO_L3_CSR_RL06.2_OCN_v04 dataset produced by the the Center for Space Research (CSR) GRACE-FO program derives the ocean bottom pressure (OBP) anomaly using the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellite data. GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 \u2013 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes.
The RL06.2 v04 monthly ocean mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors.
Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.2 is an updated release version of the previous RL06.1. The difference is only in the handling of GPS data set during Level-2 processing. GPS handling for RL06.2 was re-assessed due to steady degradation in low degrees during late 2022 and 2023 in RL06.1. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. ",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_GFZ_RL06.1_LND_v04_RL06.1v04",
- "title": "GFZ TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.1 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537039738-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537039738-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_GRFO_L3_GFZ_RL06.1_LND_v04_RL06.1v04",
- "description": "The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_GFZ_RL06.1_OCN_v04_RL06.1v04",
- "title": "GFZ TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.1 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537032664-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537032664-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_GRFO_L3_GFZ_RL06.1_OCN_v04_RL06.1v04",
- "description": "The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_JPL_RL06.1_LND_v04_RL06.1v04",
- "title": "JPL TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.1 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537038061-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537038061-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiamFzb24tMSBlbmhhbmNlZCBqYXNvbiBtaWNyb3dhdmUgcmFkaW9tZXRlclwiLFwiUE9DTE9VRFwiLFwiSkFTT04tMV9KTVJfRU5IXCIsXCIxXCIsMjQ5MTczNTI0NCw5XSIsInVtbSI6IltcImphc29uLTEgZW5oYW5jZWQgamFzb24gbWljcm93YXZlIHJhZGlvbWV0ZXJcIixcIlBPQ0xPVURcIixcIkpBU09OLTFfSk1SX0VOSFwiLFwiMVwiLDI0OTE3MzUyNDQsOV0ifQ%3D%3D/TELLUS_GRFO_L3_JPL_RL06.1_LND_v04_RL06.1v04",
- "description": "The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
- {
- "id": "TELLUS_GRFO_L3_JPL_RL06.1_OCN_v04_RL06.1v04",
- "title": "JPL TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.1 version 04",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-05-22",
- "end_date": "",
- "bbox": "-180, -89.5, 180, 89.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2537030370-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2537030370-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D/TELLUS_GRFO_L3_JPL_RL06.1_OCN_v04_RL06.1v04",
- "description": "The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.",
- "license": "proprietary"
- },
{
"id": "TEMPO_CLDO4_L2_V01",
"title": "TEMPO cloud pressure and fraction (O2-O2 dimer) V01 (UNVALIDATED)",
@@ -142492,19 +124539,6 @@
"description": "Level 1 radiance files provide radiance information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging.",
"license": "proprietary"
},
- {
- "id": "TEMR_RSFCE_Not provided",
- "title": "Air Temperature Time Series",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1883-01-01",
- "end_date": "1987-12-31",
- "bbox": "25, 23.21, -175, 71",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214608675-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214608675-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIiwidW1tIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIn0%3D/TEMR_RSFCE_Not%20provided",
- "description": "Hydrometeorological data on the conditions of the environment are held by the Russian State Fund of data. This dataset was created by Computer Centre North Administration for hydrometeorology in 1990 and containes air temperature from 68 stations in Arhangelsk, Vologda regions and Komi ASSR in Russia. Data is currently stored on magnetic tape (800 bit/inch).",
- "license": "proprietary"
- },
{
"id": "TG02_Balloon_VOC_1110_1",
"title": "LBA-ECO TG-02 Biogenic VOC Emissions from Brazilian Amazon Forest and Pasture Sites",
@@ -144884,32 +126918,6 @@
"description": "This dataset contains point clouds of three-dimensional (3D) mangrove forest structure and volume collected from 10 sites in Everglades National Park, Florida. Data were collected during NASA CMS \"Blueflux\" campaigns in March 2022, October 2022, and March 2023. Products were acquired using a RIEGL VZ-400i terrestrial laser scanner (TLS). TLS is a non-destructive and quantitative method for in situ 3D forest structure measuring and monitoring. Data are provided in LAS (*.las) format.",
"license": "proprietary"
},
- {
- "id": "TMI-REMSS-L2P-v4_4.0",
- "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature from TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measurement Mission (TRMM) satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1998-01-01",
- "end_date": "2015-01-11",
- "bbox": "-179.99, -39.06, 180, 39.01",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036879048-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036879048-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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-REMSS-L2P-v4_4.0",
- "description": "GDS2 Version -The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems has produced a Version-4 TMI ocean SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in \"AMSR Ocean Algorithm.\"",
- "license": "proprietary"
- },
- {
- "id": "TMI-REMSS-L3U-v7.1a_7.1a",
- "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from TMI onboard TRMM satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1997-12-08",
- "end_date": "2015-01-01",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176783-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176783-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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-REMSS-L3U-v7.1a_7.1a",
- "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, sea surface temperature (SST) and surface wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial processing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems (REMSS) has produced a Version-7.1a TMI SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in \"AMSR Ocean Algorithm.\"",
- "license": "proprietary"
- },
{
"id": "TML2COS_2",
"title": "TES/MLS Aura L2 Carbon Monoxide Special Observation V002",
@@ -145586,32 +127594,6 @@
"description": "Tropical Tropospheric Ozone (TTO) data from Earth Probe (EP) Total Ozone Mapping Spectrometer (TOMS) for the period of August 8-September 29, 2000 were processed and provided by the Atmospheric Chemistry and Dynamics Branch at NASA/GSFC for the SAFARI 2000 Dry Season Aircraft Campaign.The TTO measurement is derived from TOMS total ozone (Thompson and Hudson, 1999; Thompson et al., 2001) using the modified-residual method to separate stratospheric ozone from tropospheric ozone. The tropospheric ozone column thickness is reported in Dobson Units (DU).EP TOMS is currently the only NASA spacecraft on orbit specializing in ozone retrieval. EP TOMS was launched in 1996 into an orbit 500 km rather than the 950 km that was originally planned. The Earth Probe satellite was boosted to 740 km in 1997 when the ADEOS satellite failed. The lower orbit of EP TOMS decreased the size of the footprint of each measurement, which increased the resolution and also increased the ability to make measurements over cloudless scenes. This orbit was chosen to improve the ability of the TOMS instrument to make measurements of UV-absorbing aerosols in the troposphere and enhanced the capability of converting the TOMS aerosol measurements into geophysical quantities such as optical depth. Tropospheric aerosols play a major role in the Earth's climate and the capability to measure them from a TOMS instrument had recently been developed using data from Nimbus-7 and Meteor-3 TOMS.The TOMS Tropospheric Ozone data are 9-day averaged, gridded (1-degree by 2-degree) ASCII products. There is also a GIF image of each data file. ",
"license": "proprietary"
},
- {
- "id": "TOPEX_ALTSDR_A",
- "title": "TOPEX ALTIMETER SENSOR DATA RECORD",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1992-09-25",
- "end_date": "2005-10-04",
- "bbox": "-180, -66, 180, 66",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176787-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176787-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1widGhlIGxha2Ugb2JzZXJ2YXRpb25zIGJ5IGNpdGl6ZW4gc2NpZW50aXN0cyAmIHNhdGVsbGl0ZXMgKGxvY3NzKSBsZXZlbCAxIHZlcnNpb24gMS4wXCIsXCJQT0NMT1VEXCIsXCJMT0NTU19MMV9WMVwiLFwiMS4wXCIsMjI4NTEzNzg4OSwxNV0iLCJ1bW0iOiJbXCJ0aGUgbGFrZSBvYnNlcnZhdGlvbnMgYnkgY2l0aXplbiBzY2llbnRpc3RzICYgc2F0ZWxsaXRlcyAobG9jc3MpIGxldmVsIDEgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIkxPQ1NTX0wxX1YxXCIsXCIxLjBcIiwyMjg1MTM3ODg5LDE1XSJ9/TOPEX_ALTSDR_A",
- "description": "The Sensory Data Record (SDR) is similar to the GDR product except that it also contains waveforms, which are required for retracking. This is an expert level product. If you do not need the waveforms then the GDR should suit your needs.",
- "license": "proprietary"
- },
- {
- "id": "TOPEX_POSEIDON_GDR_F_F",
- "title": "TOPEX/POSEIDON Geophysical Data Record Version F",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1992-10-13",
- "end_date": "2005-10-04",
- "bbox": "-180, -66, 180, 66",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2599212091-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2599212091-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1widGhlIGxha2Ugb2JzZXJ2YXRpb25zIGJ5IGNpdGl6ZW4gc2NpZW50aXN0cyAmIHNhdGVsbGl0ZXMgKGxvY3NzKSBsZXZlbCAxIHZlcnNpb24gMS4wXCIsXCJQT0NMT1VEXCIsXCJMT0NTU19MMV9WMVwiLFwiMS4wXCIsMjI4NTEzNzg4OSwxNV0iLCJ1bW0iOiJbXCJ0aGUgbGFrZSBvYnNlcnZhdGlvbnMgYnkgY2l0aXplbiBzY2llbnRpc3RzICYgc2F0ZWxsaXRlcyAobG9jc3MpIGxldmVsIDEgdmVyc2lvbiAxLjBcIixcIlBPQ0xPVURcIixcIkxPQ1NTX0wxX1YxXCIsXCIxLjBcIiwyMjg1MTM3ODg5LDE1XSJ9/TOPEX_POSEIDON_GDR_F_F",
- "description": "The TOPEX/POSEIDON Geophysical Data Record (GDR) contains global coverage altimeter data. The objective of the TOPEX/POSEIDON mission, launched in August 1992, is to determine ocean topography with a sea surface height measurement precision of 3 cm and a sealevel measurement accuracy of 13 cm. The dataset contains measurements from two altimeters, a NASA dual frequency (Ku and C band) instrument similar to the Geosat altimeter, and a French space agency (CNES) instrument which is a proof-of-concept solid-state altimeter (Ku band). It also contains Sea Surface Height (SSH), significant wave height, ionospheric correction, tides and other geophysical corrections. It is emphasized that this product is considered research data because of the form and content of the data. The data consist entirely of files comprising headers and data records which contain over a hundred parameters for each second. It is swath data and there are no images. Analysis software is the responsibility of the user. Calculation of sea surface height anomalies from the altimeter range and environmental corrections is the responsibility of the user. The data are arranged in 10 day cycles that are separated into 254 passes, each about 56 minutes.",
- "license": "proprietary"
- },
{
"id": "TOTE-VOTE_Aerosol_AircraftInSitu_DC8_Data_1",
"title": "Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) DC-8 In Situ Aerosol Data",
@@ -145764,7 +127746,7 @@
"bbox": "180, -23.1, -180, 89.993",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736739081-LARC_ASDC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736739081-LARC_ASDC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=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%3D%3D/TOTE-VOTE_Miscellaneous_DC8_Data_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=eyJqc29uIjoiW1widG9sbmV0IGNpdHkgY29sbGVnZSBvZiBuZXcgeW9yayBkYXRhXCIsXCJMQVJDX0FTRENcIixcIlRPTE5ldF9DQ05ZX0RhdGFcIixcIjFcIiwyOTYzMzQyNDk5LDEwXSIsInVtbSI6IltcInRvbG5ldCBjaXR5IGNvbGxlZ2Ugb2YgbmV3IHlvcmsgZGF0YVwiLFwiTEFSQ19BU0RDXCIsXCJUT0xOZXRfQ0NOWV9EYXRhXCIsXCIxXCIsMjk2MzM0MjQ5OSwxMF0ifQ%3D%3D/TOTE-VOTE_Miscellaneous_DC8_Data_1",
"description": "TOTE-VOTE_Analysis_DC8_Data_1 is the ancillary datasets from the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. This dataset contains postscript files of datasets to support DC-8 aircraft measurements. The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
"license": "proprietary"
},
@@ -145777,7 +127759,7 @@
"bbox": "180, -23.1, -180, 89.993",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736739081-LARC_ASDC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736739081-LARC_ASDC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=eyJqc29uIjoiW1widG9sbmV0IGNpdHkgY29sbGVnZSBvZiBuZXcgeW9yayBkYXRhXCIsXCJMQVJDX0FTRENcIixcIlRPTE5ldF9DQ05ZX0RhdGFcIixcIjFcIiwyOTYzMzQyNDk5LDEwXSIsInVtbSI6IltcInRvbG5ldCBjaXR5IGNvbGxlZ2Ugb2YgbmV3IHlvcmsgZGF0YVwiLFwiTEFSQ19BU0RDXCIsXCJUT0xOZXRfQ0NOWV9EYXRhXCIsXCIxXCIsMjk2MzM0MjQ5OSwxMF0ifQ%3D%3D/TOTE-VOTE_Miscellaneous_DC8_Data_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=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%3D%3D/TOTE-VOTE_Miscellaneous_DC8_Data_1",
"description": "TOTE-VOTE_Analysis_DC8_Data_1 is the ancillary datasets from the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. This dataset contains postscript files of datasets to support DC-8 aircraft measurements. The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
"license": "proprietary"
},
@@ -145790,7 +127772,7 @@
"bbox": "180, -90, -180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736712587-LARC_ASDC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736712587-LARC_ASDC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=eyJqc29uIjoiW1widG9sbmV0IGNpdHkgY29sbGVnZSBvZiBuZXcgeW9yayBkYXRhXCIsXCJMQVJDX0FTRENcIixcIlRPTE5ldF9DQ05ZX0RhdGFcIixcIjFcIiwyOTYzMzQyNDk5LDEwXSIsInVtbSI6IltcInRvbG5ldCBjaXR5IGNvbGxlZ2Ugb2YgbmV3IHlvcmsgZGF0YVwiLFwiTEFSQ19BU0RDXCIsXCJUT0xOZXRfQ0NOWV9EYXRhXCIsXCIxXCIsMjk2MzM0MjQ5OSwxMF0ifQ%3D%3D/TOTE-VOTE_Satellite_Data_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=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%3D%3D/TOTE-VOTE_Satellite_Data_1",
"description": "TOTE-VOTE_Satellite_Data_1 is the supplementary satellite data for the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data in this product includes GOES-7 infrared imagery and GOES-9 water vapor imagery. Data collection for this product is complete. The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
"license": "proprietary"
},
@@ -145803,7 +127785,7 @@
"bbox": "180, -90, -180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736712587-LARC_ASDC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736712587-LARC_ASDC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=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%3D%3D/TOTE-VOTE_Satellite_Data_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=eyJqc29uIjoiW1widG9sbmV0IGNpdHkgY29sbGVnZSBvZiBuZXcgeW9yayBkYXRhXCIsXCJMQVJDX0FTRENcIixcIlRPTE5ldF9DQ05ZX0RhdGFcIixcIjFcIiwyOTYzMzQyNDk5LDEwXSIsInVtbSI6IltcInRvbG5ldCBjaXR5IGNvbGxlZ2Ugb2YgbmV3IHlvcmsgZGF0YVwiLFwiTEFSQ19BU0RDXCIsXCJUT0xOZXRfQ0NOWV9EYXRhXCIsXCIxXCIsMjk2MzM0MjQ5OSwxMF0ifQ%3D%3D/TOTE-VOTE_Satellite_Data_1",
"description": "TOTE-VOTE_Satellite_Data_1 is the supplementary satellite data for the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data in this product includes GOES-7 infrared imagery and GOES-9 water vapor imagery. Data collection for this product is complete. The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
"license": "proprietary"
},
@@ -145816,7 +127798,7 @@
"bbox": "179.22, -54.5, -180, 82.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736723318-LARC_ASDC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736723318-LARC_ASDC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=eyJqc29uIjoiW1widG9sbmV0IGNpdHkgY29sbGVnZSBvZiBuZXcgeW9yayBkYXRhXCIsXCJMQVJDX0FTRENcIixcIlRPTE5ldF9DQ05ZX0RhdGFcIixcIjFcIiwyOTYzMzQyNDk5LDEwXSIsInVtbSI6IltcInRvbG5ldCBjaXR5IGNvbGxlZ2Ugb2YgbmV3IHlvcmsgZGF0YVwiLFwiTEFSQ19BU0RDXCIsXCJUT0xOZXRfQ0NOWV9EYXRhXCIsXCIxXCIsMjk2MzM0MjQ5OSwxMF0ifQ%3D%3D/TOTE-VOTE_Sondes_Data_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=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%3D%3D/TOTE-VOTE_Sondes_Data_1",
"description": "TOTE-VOTE_Sondes_Data_1 is the radiosonde data collected during the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data collection for this product is complete. The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
"license": "proprietary"
},
@@ -145829,7 +127811,7 @@
"bbox": "179.22, -54.5, -180, 82.5",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736723318-LARC_ASDC.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736723318-LARC_ASDC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=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%3D%3D/TOTE-VOTE_Sondes_Data_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_ASDC/collections?cursor=eyJqc29uIjoiW1widG9sbmV0IGNpdHkgY29sbGVnZSBvZiBuZXcgeW9yayBkYXRhXCIsXCJMQVJDX0FTRENcIixcIlRPTE5ldF9DQ05ZX0RhdGFcIixcIjFcIiwyOTYzMzQyNDk5LDEwXSIsInVtbSI6IltcInRvbG5ldCBjaXR5IGNvbGxlZ2Ugb2YgbmV3IHlvcmsgZGF0YVwiLFwiTEFSQ19BU0RDXCIsXCJUT0xOZXRfQ0NOWV9EYXRhXCIsXCIxXCIsMjk2MzM0MjQ5OSwxMF0ifQ%3D%3D/TOTE-VOTE_Sondes_Data_1",
"description": "TOTE-VOTE_Sondes_Data_1 is the radiosonde data collected during the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data collection for this product is complete. The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
"license": "proprietary"
},
@@ -146392,6 +128374,227 @@
"description": "TRACE-A_Trajectory_Data is the kinematic trajectory data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f",
"license": "proprietary"
},
+ {
+ "id": "TRACE-P_Aerosol_AircraftInSitu_DC8_Data_1",
+ "title": "TRACE-P DC-8 In-Situ Aerosol Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Aerosol_AircraftInSitu_DC8_Data_1",
+ "description": "TRACE-P_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Aerosol_AircraftInSitu_P3B_Data_1",
+ "title": "TRACE-P P-3B In-Situ Aerosol Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812960006-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812960006-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Aerosol_AircraftInSitu_P3B_Data_1",
+ "description": "TRACE-P_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_AircraftRemoteSensing_DC8_DIAL_Data_1",
+ "title": "TRACE-P DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-02-15",
+ "end_date": "2001-04-11",
+ "bbox": "-180, 13.8, 180, 45.54",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812929569-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812929569-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_AircraftRemoteSensing_DC8_DIAL_Data_1",
+ "description": "TRACE-P_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Cloud_AircraftInSitu_DC8_Data_1",
+ "title": "TRACE-P DC-8 Aircraft In-situ Cloud Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812953981-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812953981-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Cloud_AircraftInSitu_DC8_Data_1",
+ "description": "TRACE-P_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Ground_Data_1",
+ "title": "TRACE-P Ground Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-01-10",
+ "end_date": "2001-05-01",
+ "bbox": "87.6, 20, 143.77, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812973514-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812973514-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Ground_Data_1",
+ "description": "TRACE-P_Ground_Data is the ground site data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Merge_Data_1",
+ "title": "TRACE-P Merge Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-02-24",
+ "end_date": "2002-04-11",
+ "bbox": "-180, 6.8, 180, 45.6",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812977572-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812977572-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Merge_Data_1",
+ "description": "TRACE-P_Merge_Data is the merge data files created from data collected during during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_MetNav_AircraftInSitu_DC8_Data_1",
+ "title": "TRACE-P In Situ DC-8 Meteorology and Navigation Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-02-15",
+ "end_date": "2001-04-11",
+ "bbox": "-180, 13.56, 180, 45.54",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812946478-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812946478-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_MetNav_AircraftInSitu_DC8_Data_1",
+ "description": "TRACE-P_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Diode Laser Hygrometer (DLH) instrument is featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_MetNav_Aircraft_InSitu_P3B_Data_1",
+ "title": "TRACE-P In Situ P-3B Meteorology and Navigation Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-02-10",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 40.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812963039-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812963039-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_MetNav_Aircraft_InSitu_P3B_Data_1",
+ "description": "TRACE-P_MetNav_Aircraft_InSitu_P3B_Data is the in situ meteorology and navigation data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the P-3B Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Model_Data_1",
+ "title": "TRACE-P Model Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-02-28",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.9, 180, 45.54",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813383656-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813383656-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Model_Data_1",
+ "description": "TRACE-P_Model_Data is the model data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Satellite_Data_1",
+ "title": "TRACE-P Supplementary Satellite Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812983733-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812983733-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIiwidW1tIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIn0%3D/TRACE-P_Satellite_Data_1",
+ "description": "TRACE-P_Satellite_Data is the supplementary satellite data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Multi-Angle Imaging SpectroRadiometer (MISR) and the Measurements of Pollution in the Troposphere (MOPITT) satellite instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Sondes_Data_1",
+ "title": "TRACE-P Balloonsondes and Ozonesondes Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2001-12-29",
+ "bbox": "141.33, 19.43, -155.04, 43.05",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813394939-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813394939-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Sondes_Data_1",
+ "description": "TRACE-P_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_TraceGas_AircraftInSitu_DC8_Data_1",
+ "title": "TRACE-P DC-8 In-Situ Trace Gas Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812936149-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812936149-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_TraceGas_AircraftInSitu_DC8_Data_1",
+ "description": "TRACE-P_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_TraceGas_InSitu_P3B_Data_1",
+ "title": "TRACE-P P-3B In-Situ Trace Gas Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812956769-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812956769-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIiwidW1tIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIn0%3D/TRACE-P_TraceGas_InSitu_P3B_Data_1",
+ "description": "TRACE-P_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Trajectory_DC8_Data_1",
+ "title": "TRACE-P DC-8 Trajectory Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812966620-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812966620-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_Trajectory_DC8_Data_1",
+ "description": "TRACE-P_Trajectory_DC8_Data is the trajectory data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_Trajectory_P3B_Data_1",
+ "title": "TRACE-P P-3B Trajectory Data",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.8, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812967709-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812967709-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIiwidW1tIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIn0%3D/TRACE-P_Trajectory_P3B_Data_1",
+ "description": "TRACE-P_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_jValue_AircraftInSitu_DC8_Data_1",
+ "title": "TRACE-P DC-8 Photolysis Frequencies (J-Values)",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "1999-01-07",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 45.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812965228-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812965228-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtYSBiYWxsb29uc29uZGVzIGFuZCBvem9uZXNvbmRlcyBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1BX1NvbmRlc19EYXRhXCIsXCIxXCIsMjgxMzUzMzQ1OSwxMF0iLCJ1bW0iOiJbXCJ0cmFjZS1hIGJhbGxvb25zb25kZXMgYW5kIG96b25lc29uZGVzIGRhdGFcIixcIkxBUkNfQ0xPVURcIixcIlRSQUNFLUFfU29uZGVzX0RhdGFcIixcIjFcIiwyODEzNTMzNDU5LDEwXSJ9/TRACE-P_jValue_AircraftInSitu_DC8_Data_1",
+ "description": "TRACE-P_jValue_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) measured along the DC-8 flight during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
+ {
+ "id": "TRACE-P_jValue_AircraftInSitu_P3B_Data_1",
+ "title": "TRACE-P P-3B Photolysis Frequencies (J-Values)",
+ "catalog": "LARC_CLOUD STAC Catalog",
+ "state_date": "2001-02-10",
+ "end_date": "2002-03-01",
+ "bbox": "-180, 6.89, 180, 40.95",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812969262-LARC_CLOUD.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812969262-LARC_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIiwidW1tIjoiW1widHJhY2UtcCBwLTNiIGluLXNpdHUgYWVyb3NvbCBkYXRhXCIsXCJMQVJDX0NMT1VEXCIsXCJUUkFDRS1QX0Flcm9zb2xfQWlyY3JhZnRJblNpdHVfUDNCX0RhdGFcIixcIjFcIiwyODEyOTYwMDA2LDVdIn0%3D/TRACE-P_jValue_AircraftInSitu_P3B_Data_1",
+ "description": "TRACE-P_jValue_AircraftInSitu_P3B_Data is the photolysis frequencies (j-values) measured along the P-3B flight aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ",
+ "license": "proprietary"
+ },
{
"id": "TRACERAQ_AircraftRemoteSensing_GV_GCAS_Data_1",
"title": "TRACER-AQ JSC G-V Aircraft Remotely Sensed GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS) Data",
@@ -150743,7 +132946,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214335471-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214335471-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_INSAR_AMP_GRD_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_INSAR_AMP_GRD_1",
"description": "UAVSAR Repeat Pass Interferometry Ground Projected Amplitude Scene",
"license": "proprietary"
},
@@ -150756,7 +132959,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214335903-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214335903-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_INSAR_DEM_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_INSAR_DEM_1",
"description": "UAVSAR Repeat Pass Interferometry Scene DEM TIFF",
"license": "proprietary"
},
@@ -150769,7 +132972,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336045-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336045-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_INSAR_INT_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_INSAR_INT_1",
"description": "UAVSAR Repeat Pass Interferometry Scene",
"license": "proprietary"
},
@@ -150782,7 +132985,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336154-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336154-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_INSAR_INT_GRD_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_INSAR_INT_GRD_1",
"description": "UAVSAR Repeat Pass Interferometry Ground Projected Scene",
"license": "proprietary"
},
@@ -150795,7 +132998,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336554-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336554-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_INSAR_KMZ_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_INSAR_KMZ_1",
"description": "UAVSAR Repeat Pass Interferometry Scene KMZ",
"license": "proprietary"
},
@@ -150808,7 +133011,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336717-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336717-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_INSAR_META_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_INSAR_META_1",
"description": "UAVSAR Repeat Pass Interferometry Scene Metadata",
"license": "proprietary"
},
@@ -150821,7 +133024,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353593-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353593-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_DEM_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_DEM_1",
"description": "UAVSAR PolSAR Scene DEM TIFF",
"license": "proprietary"
},
@@ -150834,7 +133037,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353754-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353754-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_INC_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_INC_1",
"description": "UAVSAR PolSAR Scene Incidence Angle",
"license": "proprietary"
},
@@ -150847,7 +133050,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353859-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353859-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_KMZ_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_KMZ_1",
"description": "UAVSAR PolSAR Scene KMZ",
"license": "proprietary"
},
@@ -150860,7 +133063,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353986-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353986-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_META_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_META_1",
"description": "UAVSAR PolSAR Scene Metadata",
"license": "proprietary"
},
@@ -150873,7 +133076,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214337770-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214337770-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_GRD_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_GRD_1",
"description": "UAVSAR PolSAR Scene Projected",
"license": "proprietary"
},
@@ -150886,7 +133089,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214354144-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214354144-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_GRD_3X3_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_GRD_3X3_1",
"description": "UAVSAR PolSAR Scene Projected Multilook 3x3",
"license": "proprietary"
},
@@ -150899,7 +133102,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214354235-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214354235-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_GRD_5X5_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_GRD_5X5_1",
"description": "UAVSAR PolSAR Scene Projected Multilook 5x5",
"license": "proprietary"
},
@@ -150912,7 +133115,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214343609-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214343609-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_SLANT_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_ML_CMPLX_SLANT_1",
"description": "UAVSAR PolSAR Scene Complex",
"license": "proprietary"
},
@@ -150925,7 +133128,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214354031-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214354031-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_PAULI_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_PAULI_1",
"description": "UAVSAR PolSAR Scene Pauli Decomposition",
"license": "proprietary"
},
@@ -150938,7 +133141,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214408428-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214408428-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_SLOPE_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_SLOPE_1",
"description": "UAVSAR PolSAR Scene Slope",
"license": "proprietary"
},
@@ -150951,7 +133154,7 @@
"bbox": "165.585938, -47.989922, 137.636719, 83.84881",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214419355-ASF.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214419355-ASF.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU4XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OF0ifQ%3D%3D/UAVSAR_POL_STOKES_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ASF/collections?cursor=eyJqc29uIjoiW1widWF2c2FyX2luc2FyX2FtcGxpdHVkZVwiLFwiQVNGXCIsXCJVQVZTQVJfSU5TQVJfQU1QXCIsXCIxXCIsMTIxNDMzNTQzMCwzNTU5XSIsInVtbSI6IltcInVhdnNhcl9pbnNhcl9hbXBsaXR1ZGVcIixcIkFTRlwiLFwiVUFWU0FSX0lOU0FSX0FNUFwiLFwiMVwiLDEyMTQzMzU0MzAsMzU1OV0ifQ%3D%3D/UAVSAR_POL_STOKES_1",
"description": "UAVSAR PolSAR Scene Stokes",
"license": "proprietary"
},
@@ -150968,123 +133171,6 @@
"description": "This dataset provides multispectral reflectance imagery (green at 550 nm, red at 660 nm, red edge at 735 nm, and near-infrared at 790 nm), normalized difference vegetation index (NDVI), and digital surface and terrain models for a 0.5 km2 area surrounding Big Trail Lake (BTL) in the Goldstream Creek Valley north of Fairbanks, Alaska. These high spatial resolution maps (13 cm x 13 cm) were generated by unmanned aerial vehicle (UAV) imagery collected on 2019-08-04. Raw images (n=908) were combined into mosaic layers that incorporated ground control points with centimeter accuracy. These layers were then used to generate vegetation, water body, and elevation maps and then combined with in situ measurements of methane flux to improve upscaling models of greenhouse gas emissions.",
"license": "proprietary"
},
- {
- "id": "UCLA_DEALIASED_SASS_L3_1",
- "title": "SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (JPL-UCLA-AES)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1978-07-07",
- "end_date": "1978-10-11",
- "bbox": "-180, -70, 180, 70",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197672-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197672-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Vhc2F0IHNjYXR0ZXJvbWV0ZXIgZGVhbGlhc2VkIG9jZWFuIHdpbmQgdmVjdG9ycyAoYXRsYXMpXCIsXCJQT0NMT1VEXCIsXCJBVExBU19ERUFMSUFTRURfU0FTU19MMlwiLFwiMVwiLDI2MTcxOTc2MjcsNF0iLCJ1bW0iOiJbXCJzZWFzYXQgc2NhdHRlcm9tZXRlciBkZWFsaWFzZWQgb2NlYW4gd2luZCB2ZWN0b3JzIChhdGxhcylcIixcIlBPQ0xPVURcIixcIkFUTEFTX0RFQUxJQVNFRF9TQVNTX0wyXCIsXCIxXCIsMjYxNzE5NzYyNyw0XSJ9/UCLA_DEALIASED_SASS_L3_1",
- "description": "Contains dealiased ocean wind vector components (zonal and meridional) derived from the Seasat-A Scatterometer (SASS) provided on a global 1x1 degree grid. Dealiasing of the SASS data was achieved manually using ship observations in a joint effort between JPL, UCLA and AES. This data set underwent restoration in 1997. Data are provided in ASCII text files at six hour intervals.",
- "license": "proprietary"
- },
- {
- "id": "UDEL_47YR_CLIM_ARCH_Not provided",
- "title": "47-Year Time Series of Gridded Monthly Temperature, Precipitation, and Water Budget Variables",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1950-01-01",
- "end_date": "1996-12-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214608501-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214608501-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIiwidW1tIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIn0%3D/UDEL_47YR_CLIM_ARCH_Not%20provided",
- "description": "The University of Delaware Center for Climatic Research offers a 47-year time series of gridded monthly temperature, precipitation, and water budget variables data set. The data is split up by Location into three categories: Global Climate Data, South American Climate Data, and Arctic Climate Data. The Global Climate Data is composed of climatologies and time series (1950-1996) of Monthly Air Temperature, Total Precipitation, Terrestrial Water Budgets, and Moisture Indices. The South American and Arctic Climate Data are comprised of climatologies and time series (1960-1990) of Monthly Air Temperature and Total Precipitation. Each set of data may be viewed as an animated MPEG or JAVA Applet file. The data used to create the animations can be downloaded as compressed UNIX TAR files from the project home page. Link to the the data set home page for full data documentation and to obtain the data. http://climate.geog.udel.edu/~climate/",
- "license": "proprietary"
- },
- {
- "id": "UIUC_SEVERE_TORN_Not provided",
- "title": "A Case Study of the Illinois Severe Weather Outbreak of April 19, 1996",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1996-04-19",
- "end_date": "1996-04-20",
- "bbox": "-90, 35, -80, 43",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214592920-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214592920-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIiwidW1tIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIn0%3D/UIUC_SEVERE_TORN_Not%20provided",
- "description": "(Summary adapted from the WW2010 Home Page) April 19, 1996: One of the most memorable tornado outbreaks in Illinois history. During the day, 33 tornadoes touching down as supercells errupted during the afternoon and evening hours. Winds were estimated in excess of 170 mph during some of the stronger tornadoes. One of the strongest passed through nearby Ogden, IL. This case study provides in depth resources related to the April 19th outbreak. The Weather World 2010 offers a large data base of archived images with a close examination of the meteorological features associated with these storms. Images captured from live video footage of selected tornadoes and a summary of the prestorm atmospheric conditions are included. In addition, you will find up close and personal photographs of the damage the twisters left behind. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: \"http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/960419/home.rxml\"",
- "license": "proprietary"
- },
- {
- "id": "UIUC_SUPER_STORM_Not provided",
- "title": "A Case Study of the March 12-15, 1993 Superstorm via World Wide Web",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1993-03-12",
- "end_date": "1993-03-15",
- "bbox": "-125, 25, -65, 50",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214592913-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214592913-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIiwidW1tIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIn0%3D/UIUC_SUPER_STORM_Not%20provided",
- "description": "The March 12-15, 1993 superstorm will be remembered as one of the strongest storms to ever strike the Eastern United States. Overall, 270 fatalities were reported with an estimate property damage over $3 billion. Record sea level pressure, low temperatures, and wind gusts were reported by many observation stations. The entire East Coast of the United States from Florida to Maine was affected by this storm. The University of Illinois Weather World 2010 project offers an extensive case study of this major weather event. This study begins with an introduction and is followed by archived surface products and satellite imagery. The surface products (surface analysis) begin at 1200 UTC on March 12, 1993 and end 0900 UTC March 15, 1993. The satellite imagery (visible, infrared, water vapor) begins at 0000 UTC March 12, 1993 and ends 2300 UTC March 15, 1993. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/930312/home.rxml",
- "license": "proprietary"
- },
- {
- "id": "UKASSEL_GLOBAL_IRRIGATED_AREA_Not provided",
- "title": "A Digital Global Map of Irrigated Areas",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1995-01-01",
- "end_date": "1995-12-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214608839-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214608839-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYSBjb2FzdGFsIGhhemFyZHMgZGF0YSBiYXNlIGZvciB0aGUgdS5zLiB3ZXN0IGNvYXN0LCBjZGlhYy9uZHAwNDNjXCIsXCJTQ0lPUFNcIixcIkNESUFDX05EUDA0M0NcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDc3NDYsNF0iLCJ1bW0iOiJbXCJhIGNvYXN0YWwgaGF6YXJkcyBkYXRhIGJhc2UgZm9yIHRoZSB1LnMuIHdlc3QgY29hc3QsIGNkaWFjL25kcDA0M2NcIixcIlNDSU9QU1wiLFwiQ0RJQUNfTkRQMDQzQ1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNzc0Niw0XSJ9/UKASSEL_GLOBAL_IRRIGATED_AREA_Not%20provided",
- "description": "For the purpose of global modeling of water use and crop production, a digital global map of irrigated areas was developed. The map depicts the areal percentage of each 0.5 deg. by 0.5 deg grid cell that was equipped for irrigation in 1995. It was derived by combininginformation from large-scale maps with outlines of irrigated areas (one or more countries per map), FAO data on total irrigated area per country in 1995 and national data on total irrigated area per county, drainage basin or federal state. In the documentation of the map, the data and map sources as well as the map generation process is described, and the data uncertainty is discussed. \"http://www.usf.uni-kassel.de/usf/archiv/dokumente/kwws/kwws.4.pdf\" We plan to improve this map in the future. Therefore, comments, information and data that might contribute to this effort are highly welcome.",
- "license": "proprietary"
- },
- {
- "id": "UM0405_26_aerosol_optical_Not provided",
- "title": "Aerosol optical thickness - UM0405_26_aerosol_optical",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2004-12-31",
- "end_date": "2005-01-25",
- "bbox": "18, -68, 115, -32",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1221420727-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1221420727-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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%3D/UM0405_26_aerosol_optical_Not%20provided",
- "description": "The aerosol optical thickness was measured with a sunphotometer. The measurement was conducted only clear sky condition.",
- "license": "proprietary"
- },
- {
- "id": "UM0506_26_aerosol_optical_Not provided",
- "title": "Aerosol optical thickness",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2006-01-03",
- "end_date": "2006-01-30",
- "bbox": "18, -68, 115, -32",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595208-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595208-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWVyb3NvbCBvcHRpY2FsIHNpemUgZGlzdHJpYnV0aW9uIGFuZCBzb290IGNvcmUgc2l6ZSBkaXN0cmlidXRpb24gbWVhc3VyZWQgYnkgYSBzaW5nbGUgcGFydGljbGUgc29vdCBwaG90b21ldGVyIChzcDIpIGZvciAzMCBkYXlzIGluIHN1bW1lciAyMDE4LTIwMTlcIixcIlNDSU9QU1wiLFwiTFRDUEFBX0RPTUVDT05DT1JESUFfMjAxOF8yMDE5X1NQMl9BRVJPU09MX1NPT1RfU0laRURJU1RSSUJVVElPTlNcIixcIjFcIiwxNjA1NjU4Nzk5LDRdIiwidW1tIjoiW1wiYWVyb3NvbCBvcHRpY2FsIHNpemUgZGlzdHJpYnV0aW9uIGFuZCBzb290IGNvcmUgc2l6ZSBkaXN0cmlidXRpb24gbWVhc3VyZWQgYnkgYSBzaW5nbGUgcGFydGljbGUgc29vdCBwaG90b21ldGVyIChzcDIpIGZvciAzMCBkYXlzIGluIHN1bW1lciAyMDE4LTIwMTlcIixcIlNDSU9QU1wiLFwiTFRDUEFBX0RPTUVDT05DT1JESUFfMjAxOF8yMDE5X1NQMl9BRVJPU09MX1NPT1RfU0laRURJU1RSSUJVVElPTlNcIixcIjFcIiwxNjA1NjU4Nzk5LDRdIn0%3D/UM0506_26_aerosol_optical_Not%20provided",
- "description": "The aerosol optical thickness was measured with a sunphotometer. The measurement was conducted only clear sky condition.",
- "license": "proprietary"
- },
- {
- "id": "UM0708_25_multi-frequency_acoustic_Not provided",
- "title": "Acoustic data of multi-frequency acoustic system",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2007-12-24",
- "end_date": "2008-02-14",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595173-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595173-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_25_multi-frequency_acoustic_Not%20provided",
- "description": "Vertical profiles of volume backscattering strength recorded by multi-frequency acoustic system for estimate size-abundance spectra of small zooplankton. The system was horizontally mounted on CTD frame and the observation was vertically performed from surface to 200 m at 23 stations.",
- "license": "proprietary"
- },
- {
- "id": "UM0809_33_nano_Not provided",
- "title": "Abundance and composition of nano, picoplankton, microzooplankton",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2009-01-12",
- "end_date": "2009-01-25",
- "bbox": "38, -70, 75, -60",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595104-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214595104-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYSBzcGF0aWFsIG1vZGVsIG9mIGF0bW9zcGhlcmljIGRlcG9zaXRpb24gZm9yIHRoZSBub3J0aGVhc3Rlcm4gdS5zLlwiLFwiU0NJT1BTXCIsXCJFT1NXRUJTVEVSX0NMSU1DQUxDX05FX1VTXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTg0Mjc2LDRdIiwidW1tIjoiW1wiYSBzcGF0aWFsIG1vZGVsIG9mIGF0bW9zcGhlcmljIGRlcG9zaXRpb24gZm9yIHRoZSBub3J0aGVhc3Rlcm4gdS5zLlwiLFwiU0NJT1BTXCIsXCJFT1NXRUJTVEVSX0NMSU1DQUxDX05FX1VTXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTg0Mjc2LDRdIn0%3D/UM0809_33_nano_Not%20provided",
- "description": "Water samples from 5 depths (0-100 m) were collected by Niskin bottles at 9 stations (L1, L3, L5, L9, L12, L37, L33, \u2160-10, \u2161-7) off L\u00fctzow-Holm Bay during Umitaka-maru cruise (Jan-Feb. 2008). The waters were fixed by 0.2% of lugol's acid solution (500 ml), 0.3% of bouin solution (500 ml) and 20 % of glutaraldehyde (100ml).\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000\u3000http://biows.ac.jp/~plankton/um0809-1a.png",
- "license": "proprietary"
- },
{
"id": "UMD_GEOL388_0",
"title": "Measurements from the Atlantic Ocean made by the University of Maryland (UMD)",
@@ -151124,6 +133210,71 @@
"description": "Antarctic notothenioid fishes exhibit two adaptive traits to survive in frigid temperatures. The first of these is the production of anti-freeze proteins in their blood and tissues. The second is a system-wide ability to perform cellular and physiological functions at extremely cold temperatures.The proposal goals are to show how Antarctic fishes use these characteristics to avoid freezing, and which additional genes are turned on, or suppressed in order for these fishes to maintain normal physiological function in extreme cold temperatures. Progressively colder habitats are encountered in the high latitude McMurdo Sound and Ross Shelf region, along with somewhat milder near?shore water environments in the Western Antarctic Peninsula (WAP). By quantifying the extent of ice crystals invading and lodging in the spleen, the percentage of McMurdo Sound fish during austral summer (Oct-Feb) will be compared to the WAP intertidal fish during austral winter (Jul-Sep) to demonstrate their capability and extent of freeze avoidance. Resistance to ice entry in surface epithelia (e.g. skin, gill and intestinal lining) is another expression of the adaptation of these fish to otherwise lethally freezing conditions. The adaptive nature of a uniquely characteristic polar genome will be explored by the study of the transcriptome (the set of expressed RNA transcripts that constitutes the precursor to set of proteins expressed by an entire genome). Three notothenioid species (E.maclovinus, D. Mawsoni and C. aceratus) will be analysed to document evolutionary genetic changes (both gain and loss) shaped by life under extreme chronic cold. A differential gene expression (DGE) study will be carried out on these different species to evaluate evolutionary modification of tissue-wide response to heat challenges. The transcriptomes and other sequencing libraries will contribute to de novo ice-fish genome sequencing efforts.",
"license": "proprietary"
},
+ {
+ "id": "USAP-0424589_Not provided",
+ "title": "Center for Remote Sensing of Ice Sheets (CReSIS)",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2005-06-01",
+ "end_date": "2017-05-31",
+ "bbox": "143, -87.2, -88, -74.2",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071823-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071823-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-0424589_Not%20provided",
+ "description": "This award is for the continuation of the Center for Remote Sensing of Ice Sheets (CReSIS), an NSF Science and Technology Center (STC) established in June 2005 to study present and probable future contributions of the Greenland and Antarctic ice sheets to sea-level rise. The Center's vision is to understand and predict the role of polar ice sheets in sea level change. In particular, the Center's mission is to develop technologies, to conduct field investigations, to compile data to understand why many outlet glaciers and ice streams are changing rapidly, and to develop models that explain and predict ice sheet response to climate change. The Center's mission is also to educate and train a diverse population of graduate and undergraduate students in Center-related disciplines and to encourage K-12 students to pursue careers in science, technology, engineering and mathematics (STEM-fields). The long-term goals are to perform a four-dimensional characterization (space and time) of rapidly changing ice-sheet regions, develop diagnostic and predictive ice-sheet models, and contribute to future assessments of sea level change in a warming climate. In the first five years, significant progress was made in developing, testing and optimizing innovative sensors and platforms and completing a major aircraft campaign, which included sounding the channel under Jakobshavn Isbr. In the second five years, research will focus on the interpretation of integrated data from a suite of sensors to understand the physical processes causing changes and the subsequent development and validation of models. Information about CReSIS can be found at http://www.cresis.ku.edu. The intellectual merits of the STC are the multidisciplinary research it enables its faculty, staff and students to pursue, as well as the broad education and training opportunities it provides to students at all levels. During the first phase, the Center provided scientists and engineers with a collaborative research environment and the opportunity to interact, enabling the development of high-sensitivity radars integrated with several airborne platforms and innovative seismic instruments. Also, the Center successfully collected data on ice thickness and bed conditions, key variables in the study of ice dynamics and the development of models, for three major fast-flowing glaciers in Greenland. During the second phase, the Center will collect additional data over targeted sites in areas undergoing rapid changes; process, analyze and interpret collected data; and develop advanced process-oriented and ice sheet models to predict future behavior. The Center will continue to provide a rich environment for multidisciplinary education and mentoring for undergraduate students, graduate students, and postdoctoral fellows, as well as for conducting K-12 education and public outreach. The broader impacts of the Center stem from addressing a global environmental problem with critical societal implications, providing a forum for citizens and policymakers to become informed about climate change issues, training the next generation of scientists and engineers to serve the nation, encouraging underrepresented students to pursue careers in STEM-related fields, and transferring new technologies to industry. Students involved in the Center find an intellectually stimulating atmosphere where collaboration between disciplines is the norm and exposure to a wide variety of methodologies and scientific issues enriches their educational experience. The next generation of researchers should reflect the diversity of our society; the Center will therefore continue its work with ECSU to conduct outreach and educational programs that attract minority students to careers in science and technology. The Center has also established a new partnership with ADMI that supports faculty and student exchanges at the national level and provides expanded opportunities for students and faculty to be involved in Center-related research and education activities. These, and other collaborations, will provide broader opportunities to encourage underrepresented students to pursue STEM careers. As lead institution, The University of Kansas (KU) provides overall direction and management, as well as expertise in radar and remote sensing, Uninhabited Aerial Vehicles (UAVs), and modeling and interpretation of data. Five partner institutions and a DOE laboratory play critical roles in the STC. The Pennsylvania State University (PSU) continues to participate in technology development for seismic measurements, field activities, and modeling. The Center of Excellence in Remote Sensing, Education and Research (CERSER) at Elizabeth City State University (ECSU) contributes its expertise to analyzing satellite data and generating high-level data products. ECSU also brings to the Center their extensive experience in mentoring and educating traditionally under-represented students. ADMI, the Association of Computer and Information Science/Engineering Departments at Minority Institutions, expands the program's reach to underrepresented groups at the national level. Indiana University (IU) provides world-class expertise in CI and high-performance computing to address challenges in data management, processing, distribution and archival, as well as high-performance modeling requirements. The University of Washington (UW) provides expertise in satellite observations of ice sheets and process-oriented interpretation and model development. Los Alamos National Laboratory (LANL) contributes in the area of ice sheet modeling. All partner institutions are actively involved in the analysis and interpretation of observational and numerical data sets.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-0732711_Not provided",
+ "title": "Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine Ecosystems - award #0732711",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2007-09-15",
+ "end_date": "2013-08-31",
+ "bbox": "-68, -67.8, -55.8, -57.8",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2534799512-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2534799512-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-0732711_Not%20provided",
+ "description": "A profound transformation in ecosystem structure and function is occurring in coastal waters of the western Weddell Sea, with the collapse of the Larsen B ice shelf. This transformation appears to be yielding a redistribution of energy flow between chemoautotrophic and photosynthetic production, and to be causing the rapid demise of the extraordinary seep ecosystem discovered beneath the ice shelf. This event provides an ideal opportunity to examine fundamental aspects of ecosystem transition associated with climate change. We propose to test the following hypotheses to elucidate the transfor mations occurring in marine ecosystems as a consequence of the Larsen B collapse: (1) The biogeographic isolation and sub-ice shelf setting of the Larsen B seep has led to novel habitat characteristics, chemoautotrophically dependent taxa and functional adaptations. (2) Benthic communities beneath the former Larsen B ice shelf are fundamentally different from assemblages at similar depths in the Weddell sea-ice zone, and resemble oligotrophic deep-sea communities. Larsen B assemblages are undergoing rapid change. (3) The previously dark, oligotrophic waters of the Larsen B embayment now support a thriving phototrophic community, with production rates and phytoplankton composition similar to other productive areas of the Weddell Sea. To document rapid changes occurring in the Larsen B ecosystem, we will use a remotely operated vehicle, shipboard samplers, and moored sediment traps. We will characterize microbial, macrofaunal and megafaunal components of the seep community; evaluate patterns of surface productivity, export flux, and benthic faunal composition in areas previously covered by the ice shelf, and compare these areas to the open sea-ice zone. These changes will be placed within the geological, glaciological and climatological context that led to ice-shelf retreat, through companion research projects funded in concert with this effort. Together these projects will help predict the likely consequences of ice-shelf collapse to marine ecosystems in other regions of Antarctica vulnerable to climate change. The research features international collaborators from Argentina, Belgium, Canada, Germany, Spain and the United Kingdom. The broader impacts include participation of a science writer; broadcast of science segments by members of the Jim Lehrer News Hour (Public Broadcasting System); material for summer courses in environmental change; mentoring of graduate students and postdoctoral fellows; and showcasing scientific activities and findings to students and public through podcasts.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-0732917_1",
+ "title": "Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine Ecosystems",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2007-09-15",
+ "end_date": "2015-08-31",
+ "bbox": "-60.5, -65, -55.4, -63.1",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2534800063-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2534800063-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-0732917_1",
+ "description": "A profound transformation in ecosystem structure and function is occurring in coastal waters of the western Weddell Sea, with the collapse of the Larsen B ice shelf. This transformation appears to be yielding a redistribution of energy flow between chemoautotrophic and photosynthetic production, and to be causing the rapid demise of the extraordinary seep ecosystem discovered beneath the ice shelf. This event provides an ideal opportunity to examine fundamental aspects of ecosystem transition associated with climate change. We propose to test the following hypotheses to elucidate the transformations occurring in marine ecosystems as a consequence of the Larsen B collapse: (1) The biogeographic isolation and sub-ice shelf setting of the Larsen B seep has led to novel habitat characteristics, chemoautotrophically dependent taxa and functional adaptations. (2) Benthic communities beneath the former Larsen B ice shelf are fundamentally different from assemblages at similar depths in the Weddell sea-ice zone, and resemble oligotrophic deep-sea communities. Larsen B assemblages are undergoing rapid change. (3) The previously dark, oligotrophic waters of the Larsen B embayment now support a thriving phototrophic community, with production rates and phytoplankton composition similar to other productive areas of the Weddell Sea. To document rapid changes occurring in the Larsen B ecosystem, we will use a remotely operated vehicle, shipboard samplers, and moored sediment traps. We will characterize microbial, macrofaunal and megafaunal components of the seep community; evaluate patterns of surface productivity, export flux, and benthic faunal composition in areas previously covered by the ice shelf, and compare these areas to the open sea-ice zone. These changes will be placed within the geological, glaciological and climatological context that led to ice-shelf retreat, through companion research projects funded in concert with this effort. Together these projects will help predict the likely consequences of ice-shelf collapse to marine ecosystems in other regions of Antarctica vulnerable to climate change. The research features international collaborators from Argentina, Belgium, Canada, Germany, Spain and the United Kingdom. The broader impacts include participation of a science writer; broadcast of science segments by members of the Jim Lehrer News Hour (Public Broadcasting System); material for summer courses in environmental change; mentoring of graduate students and postdoctoral fellows; and showcasing scientific activities and findings to students and public through podcasts.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-0944266_Not provided",
+ "title": "Climate, Ice Dynamics and Biology using a Deep Ice Core from the West Antarctic Ice Sheet Ice Divide (0944266)",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2010-08-01",
+ "end_date": "2015-07-31",
+ "bbox": "-112.1115, -79.481, -112.1115, -79.481",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532070632-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532070632-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-0944266_Not%20provided",
+ "description": "This award supports renewal of funding of the WAIS Divide Science Coordination Office (SCO). The Science Coordination Office (SCO) was established to represent the research community and facilitates the project by working with support organizations responsible for logistics, drilling, and core curation. During the last five years, 26 projects have been individually funded to work on this effort and 1,511 m of the total 3,470 m of ice at the site has been collected. This proposal seeks funding to continue the SCO and related field operations needed to complete the WAIS Divide ice core project. Tasks for the SCO during the second five years include planning and oversight of logistics, drilling, and core curation; coordinating research activities in the field; assisting in curation of the core in the field; allocating samples to individual projects; coordinating the sampling effort; collecting, archiving, and distributing data and other information about the project; hosting an annual science meeting; and facilitating collaborative efforts among the research groups. The intellectual merit of the WAIS Divide project is to better predict how human-caused increases in greenhouse gases will alter climate requires an improved understanding of how previous natural changes in greenhouse gases influenced climate in the past. Information on previous climate changes is used to validate the physics and results of climate models that are used to predict future climate. Antarctic ice cores are the only source of samples of the paleo-atmosphere that can be used to determine previous concentrations of carbon dioxide. Ice cores also contain records of other components of the climate system such as the paleo air and ocean temperature, atmospheric loading of aerosols, and indicators of atmospheric transport. The WAIS Divide ice core project has been designed to obtain the best possible record of greenhouse gases during the last glacial cycle (last ~100,000 years). The site was selected because it has the best balance of high annual snowfall (23 cm of ice equivalent/year), low dust Antarctic ice that does not compromise the carbon dioxide record, and favorable glaciology. The main science objectives of the project are to investigate climate forcing by greenhouse gases, initiation of climate changes, stability of the West Antarctic Ice Sheet, and cryobiology in the ice core. The project has numerous broader impacts. An established provider of educational material (Teachers' Domain) will develop and distribute web-based resources related to the project and climate change for use in K-12 classrooms. These resources will consist of video and interactive graphics that explain how and why ice cores are collected, and what they tell us about future climate change. Members of the national media will be included in the field team and the SCO will assist in presenting information to the general public. Video of the project will be collected and made available for general use. Finally, an opportunity will be created for cryosphere students and early career scientists to participate in field activities and core analysis. An ice core archive will be available for future projects and scientific discoveries from the project can be used by policy makers to make informed decisions.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-0944348_Not provided",
+ "title": "Climate, Ice Dynamics and Biology using a Deep Ice Core from the West Antarctic Ice Sheet Ice Divide",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2010-08-01",
+ "end_date": "2015-07-31",
+ "bbox": "-112.1115, -79.481, -112.1115, -79.481",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532070599-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532070599-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-0944348_Not%20provided",
+ "description": "This award supports renewal of funding of the WAIS Divide Science Coordination Office (SCO). The Science Coordination Office (SCO) was established to represent the research community and facilitates the project by working with support organizations responsible for logistics, drilling, and core curation. During the last five years, 26 projects have been individually funded to work on this effort and 1,511 m of the total 3,470 m of ice at the site has been collected. This proposal seeks funding to continue the SCO and related field operations needed to complete the WAIS Divide ice core project. Tasks for the SCO during the second five years include planning and oversight of logistics, drilling, and core curation; coordinating research activities in the field; assisting in curation of the core in the field; allocating samples to individual projects; coordinating the sampling effort; collecting, archiving, and distributing data and other information about the project; hosting an annual science meeting; and facilitating collaborative efforts among the research groups. The intellectual merit of the WAIS Divide project is to better predict how human-caused increases in greenhouse gases will alter climate requires an improved understanding of how previous natural changes in greenhouse gases influenced climate in the past. Information on previous climate changes is used to validate the physics and results of climate models that are used to predict future climate. Antarctic ice cores are the only source of samples of the paleo-atmosphere that can be used to determine previous concentrations of carbon dioxide. Ice cores also contain records of other components of the climate system such as the paleo air and ocean temperature, atmospheric loading of aerosols, and indicators of atmospheric transport. The WAIS Divide ice core project has been designed to obtain the best possible record of greenhouse gases during the last glacial cycle (last ~100,000 years). The site was selected because it has the best balance of high annual snowfall (23 cm of ice equivalent/year), low dust Antarctic ice that does not compromise the carbon dioxide record, and favorable glaciology. The main science objectives of the project are to investigate climate forcing by greenhouse gases, initiation of climate changes, stability of the West Antarctic Ice Sheet, and cryobiology in the ice core. The project has numerous broader impacts. An established provider of educational material (Teachers' Domain) will develop and distribute web-based resources related to the project and climate change for use in K-12 classrooms. These resources will consist of video and interactive graphics that explain how and why ice cores are collected, and what they tell us about future climate change. Members of the national media will be included in the field team and the SCO will assist in presenting information to the general public. Video of the project will be collected and made available for general use. Finally, an opportunity will be created for cryosphere students and early career scientists to participate in field activities and core analysis. An ice core archive will be available for future projects and scientific discoveries from the project can be used by policy makers to make informed decisions.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1043471_Not provided",
"title": "A Study of Atmospheric Dust in the WAIS Divide Ice Core Based on Sr-Nd-Pb-He Isotopes",
@@ -151150,6 +133301,19 @@
"description": "Accurate parameterizations of the air-sea fluxes of CO2 into the Southern Ocean, in particular at high wind velocity, are needed to better assess how projections of global climate warming in a windier world could affect the ocean carbon uptake, and alter the ocean heat budget at high latitudes. Air-sea fluxes of momentum, sensible and latent heat (water vapor) and carbon dioxide (CO2) are to be measured continuously underway on cruises using micrometeorological eddy covariance techniques adapted to ship-board use. The measured gas transfer velocity (K) is then to be related to other parameters known to affect air-sea-fluxes. A stated goal of this work is the collection of a set of direct air-sea flux measurements at high wind speeds, conditions where parameterization of the relationship of gas exchange to wind-speed remains contentious. The studies will be carried out at sites in the Southern Ocean using the USAP RV Nathaniel B Palmer as measurment platform. Co-located pCO2 data, to be used in the overall analysis and enabling internal consistency checks, are being collected from existing underway systems aboard the USAP research vessel under other NSF awards.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1056396_1",
+ "title": "CAREER: Protist Nutritional Strategies in Permanently Stratified Antarctic Lakes",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2011-05-01",
+ "end_date": "2016-04-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071892-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071892-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1056396_1",
+ "description": "This project supported an integrated research and education program in the fields of polar biology and environmental microbiology, focusing on single-celled eukaryotes (protists) in high latitude ice-covered Antarctic lakes systems. Protists play important roles in energy flow and material cycling, and act as both primary producers (fixing inorganic carbon by photosynthesis) and consumers (preying on bacteria by phagotrophic digestion). The McMurdo Dry Valleys (MDV) located in Victoria Land, Antarctica, harbor microbial communities which are isolated in the unique aquatic ecosystem of perennially ice-capped lakes. The project studied: (1) the impact of permanent biogeochemical gradients on protist trophic strategy, (2) the effect of major abiotic drivers (light and nutrients) on the distribution of two key mixotrophic and photoautotrophic protist species, and (3) the effect of episodic nutrient pulses on mixotroph communities in high latitude (ultraoligotrophic) MDV lakes versus low latitude (eutrophic) watersheds. Sampling dates: February 4 \u2013 April 10, 2008; November 11- 28, 2012; December 12, 2012 Sampling locations/depths: East Lobe Lake Bonney/5m, 10m, 13m, 15m, 20m, 25m, 30m West Lobe Lake Bonney/5m, 10m, 13m, 15m, 20m, 25m, 30m Lake Fryxell/5m, 7m, 9m, 11m, 12m, 15m Lake Vanda/10m, 20m, 30m, 40m, 50m, 60m, 70m, 75m, 80m Two kinds of metadata from this project are available: 1) DNA sequence data \u2013 DNA was extracted from filtered lake water (1-2L) collected from sampling locations and dates reported above. Environmental DNA was PCR-amplified using primers specific for the following genes: 16S rRNA, 18S rRNA, rbcL, cbbM, nifJ, psbA. Genes were sequenced on an Applied Biosystems DNA analyzer or an Illumina MiSeq or HiSeq instruments. All DNA sequences from this project are available via GenBank. 2) Limnological metadata - Limnological data was collected from sampling locations and dates reported above. Data includes PAR, conductivity, temperature, Chlorophyll a, and macronutrients and is available via the McMurdo Dry Valleys LTER Data Center.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1141939_Not provided",
"title": "Antarctic Cloud Physics: Fundamental Observations from Ross Island",
@@ -151176,6 +133340,32 @@
"description": "We collected GPS tracks and stomach temperature records from Blackbrowed Albatross from a breeding colony at \"Canon des Sourcils Noirs\" on Kerguelen Island for the purpose of analyzing their flight patterns with regard to foraging events. We found that most birds regurgitated their stomach temperature pill transmitters early on in their trip. The GPS tracks do show their overall foraging flight patterns and include events that are characteristic of olfactory foraging such as upwind turns and zigzagging flight.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1149085_1",
+ "title": "CAREER: Bound to Improve - Improved Estimates of the Glaciological Contribution to Sea Level Rise",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2012-09-01",
+ "end_date": "2017-08-31",
+ "bbox": "66, -74, 75, -68",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785576641-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785576641-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1149085_1",
+ "description": "This CAREER award supports a project to develop physically based bounds on the amount ice sheets can contribute to sea level rise in the coming centuries. To simulate these limits, a three-dimensional discrete element model will be developed and applied to simulate regions of interest in the Greenland and Antarctic ice sheets. These regions will include Helheim Glacier, Jakobshavn Isbr\u00e4e, Pine Island Glacier and sections of the Larsen Ice Shelf. In the discrete element model the ice will be discretized into distinct blocks or boulders of ice that interact through inelastic collisions, frictional forces and bonds. The spectrum of best to worst case scenarios will be examined by varying the strength and number of bonds between neighboring blocks of ice. The worst case scenario corresponds to completely disarticulated ice that behaves in a manner akin to a granular material while the best case scenario corresponds to completely intact ice with no preexisting flaws or fractures. Results from the discrete element model will be compared with those from analogous continuum models that incorporate a plastic yield stress into the more traditional viscous flow approximations used to simulate ice sheets. This will be done to assess if a fracture permitting plastic rheology can be efficiently incorporated into large-scale ice sheet models to simulate the evolution of ice sheets over the coming centuries. This award will also support to forge a partnership with two science teachers in the Ypsilanti school district in southeastern Michigan. The Ypsilanti school district is a low income, resource- poor region with a population that consists of ~70% underrepresented minorities and ~69% of students qualify for a free or reduced cost lunch. The cornerstone of the proposed partnership is the development of lesson plans and content associated with a hands-on ice sheet dynamics activity for 6th and 7th grade science students. The activity will be designed so that it integrates into existing classroom lesson plans and is aligned with State of Michigan Science Technology, Engineering and Math (STEM) curriculum goals. The aim of this program is to not only influence the elementary school students, but also to educate the teachers to extend the impact of the partnership beyond the duration of this study. Graduate students will be mentored and engaged in outreach activities and assist in supervising undergraduate students. Undergraduates will play a key role in developing an experimental, analogue ice dynamics lab designed to illustrate how ice sheets and glaciers flow and allow experimental validation of the proposed research activities. The research program advances ice sheet modeling infrastructure by distributing results through the community based Community Ice Sheet Model.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1245766_1",
+ "title": "Cold Corals in Hot Water - Investigating the Physiological Responses of Antarctic Coral Larvae to Climate change Stress",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2013-09-01",
+ "end_date": "2019-08-31",
+ "bbox": "-63.0796667, -61.5157, -63.0796667, -61.5157",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072034-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072034-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-1245766_1",
+ "description": "The Western Antarctic Peninsula is experiencing climate change at one of the fastest rates of anywhere around the globe. Accelerated climate change is likely to affect the many benthic marine invertebrates that live within narrow temperature windows along the Antarctic Continental Shelf in presently unidentified ways. At present however, there are few data on the physiological consequences of climate change on the sensitive larval stages of cold-water corals, and none on species living in thermal extremes such as polar waters. This project will collect the larvae of the non-seasonal, brooding scleractinian Flabellum impensum to be used in a month-long climate change experiment at Palmer Station. Multidisciplinary techniques will be used to examine larval development and cellular stress using a combination of electron microscopy, flow cytometry, and Inductively Coupled Plasma Mass Spectometry. Data from this project will form the first systematic study of the larval stages of polar cold-water corals, and how these stages are affected by temperature stress at the cellular and developmental level. Cold-water corals have been shown to be important ecosystem engineers, providing habitat for thousands of associated species, including many that are of commercial importance. Understanding how the larvae of these corals react to warming trends seen today in our oceans will allow researchers to predict future changes in important benthic communities around the globe. Associated education and outreach include: 1) Increasing student participation in polar research by involving postdoctoral and undergraduate students in the field and research program; ii) promotion of K-12 teaching and learning programs by providing information via a research website, Twitter, and in-school talks in the local area; iii) making the data collected available to the wider research community via peer reviewed published literature and iv) reaching a larger public audience through such venues as interviews in the popular media, You Tube and other popular media outlets, and local talks to the general public.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1246045_1",
"title": "Anisotropic Ice and Stratigraphic Disturbances",
@@ -151189,6 +133379,19 @@
"description": "This award supported a project that investigated a number of questions regarding the measurement and development of crystal orientation fabrics in ice sheets, and the relation of crystal orientation fabric to the development of stratigraphic disturbances in ice. Interpretation of thin-section fabric measurements requires accurate understanding of uncertainty and other statistical aspects of the measurements. To this end, we developed novel mathematically-justified uncertainty estimates for fabric parameters derived from thin sections. These estimates were applied to thin-section data collected at the WAIS Divide ice-core, showing that uncertainty of fabric eigenvalues derived from ice cores can be larger than usually assumed. We also examined the use of parameterized c-axis orientation-distribution functions (PODFs). We introduced the Bingham distribution to glaciology as a PODF. We developed maximum-likelihood methods of fitting PODFs to thin-section data, and used these methods to compare previously proposed PODFs and the Bingham distribution to thin-section data from the WAIS and Siple Dome ice cores. To gain more accurate estimates of crystal orientation fabric from ice cores, we developed a method to accurately infer ice fabric leveraging both thin-section measurements and measurements of borehole sonic velocities in such a way that retains the strengths of both methods while reducing their weaknesses. We applied this technique to data from the WAIS and NEEM ice cores. Sonic velocity measurements sample large volumes of ice, and thus do not suffer from the sampling error of thin-section c-axis measurements. However, sonic-velocity measurements are often subject to large amounts of low spatial-frequency error. This error resulted in the sonic velocity measurements taken at WAIS and NEEM being of limited utility in isolation. Using our technique, we corrected this error to provide a spatially-continuous, and accurate record of fabric. We conducted the first theoretical examination of the stability of coupled anisotropic ice flow and crystal orientation fabric development. We developed an analytical coupled anisotropic ice flow and crystal fabric evolution model. Using this model, we showed that anisotropic ice flow coupled to fabric evolution can be unstable in both simple shear and pure shear. In particular, we showed that in our model, shear bands leading to layer offsets can occur in pure shear. This has important implications for understanding the development of smaller-scale folding and other stratigraphic disturbances commonly observed in ice sheets. We also showed that plane flow in simple shear and pure shear is susceptible to fabric perturbations leading to a nonzero out-of-plane velocity component. This shows that two-dimensional models previously applied to anisotropic ice flow are insufficient to capture the full dynamics of the coupled system. The results of this work are useful for a number of areas in glaciology. The work on uncertainty and measurement of crystal orientation fabric is not only important for studying the development of fabric in ice sheets, but also allows for improved inference of past climate from crystal fabric. Our work in the dynamics of coupled ice flow and fabric is an important step forward in understanding the development of stratigraphic disturbances in ice sheets, which are a key difficulty in constructing accurate ice-core depth-age relationships, especially in deep, old ice. To our knowledge, it is the first analytical coupled model, and the first examination of stability of the coupled system. This work was communicated to the glaciology community by a number of talks and poster sessions, and will be published in upcoming papers. We communicated this work to the public with outreach events at the Seattle Science Center and general public lectures at Bellevue College. Code developed during the project is archived on github at \t\thttps://github.com/mjhay/ The NEEM Sonic Model section of the github repository contains Python 2.7 code that takes in crystal-fabric eigenvalues inferred from thin section of an ice core, and sonic velocities (P,Sv,S) measured in the borehole, and produces a new and improved set of eigenvalues as a function of core depth. The Stochastic_fabric section of the github repository contains scripts written in the Julia programming language and in the Python language, relating to stochastic models of ice sheet fabric. This includes a method of solving stochastic differential equations resulting from forcing a fabric evolution model with a velocity gradient with stochastic noise. Additional utilities are provided for maximum-likelihood fits of parameterized orientation distribution functions to thin section data, and bootstrap and analytical estimates of thin-section fabric uncertainty.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1341464_1",
+ "title": "Collaborative Proposal: A Field and Laboratory Examination of the Diatom N and Si Isotope Proxies: Implications for Assessing the Southern Ocean Biological Pump",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2016-01-01",
+ "end_date": "2019-12-31",
+ "bbox": "-175, -67, -165, -54",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2560369936-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2560369936-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-1341464_1",
+ "description": "The rise in atmospheric carbon dioxide concentrations and associated climate changes make understanding the role of the ocean in large scale carbon cycle a priority. Geologic samples allow exploration of potential mechanisms for carbon dioxide drawdown during glacial periods through the use of geochemical proxies. Nitrogen and silicon isotope signatures from fossil diatoms (microscopic plants) are used to investigate changes in the physical supply and biological demand for nutrients (like nitrogen and silicon and carbon) in the Southern Ocean. The project will evaluate the use the nitrogen and silicon isotope proxies through a series of laboratory experiments and Southern Ocean field sampling. The results will provide quantification of real relationships between nitrogen and silicon isotopes and nutrient usage in the Southern Ocean and allow exploration of the role of other factors, including biological diversity, ice cover, and mixing, in altering the chemical signatures recorded by diatoms. Seafloor sediment samples will be used to evaluate how well the signal created in the water column is recorded by fossil diatoms buried in the seafloor. Improving the nutrient isotope proxies will allow for a more quantitative understanding of the role of polar biology in regulating natural variation in atmospheric carbon dioxide. The project will also result in the training of a graduate student and development of outreach materials targeting a broad popular audience. This project seeks to test the fidelity of the diatom nitrogen and silicon isotope proxies, two commonly used paleoceanographic tools for investigating the role of the Southern Ocean biological pump in regulating atmospheric CO2 concentrations on glacial-interglacial timescales. Existing ground-truthing data, including culture experiments, surface sediment data and downcore reconstructions, all suggest that nutrient utilization is the primary driver of isotopic variation in the Southern Ocean. However, strong contribution of interspecific variation is implied by recent culture results. Moreover, field and laboratory studies present some contradictory results in terms of the relative importance of interspecific variation and of inferred post-depositional alteration of the nutrient isotope signals. Here, a first order test of the N and Si diatom nutrient isotope paleo-proxies, involving water column dissolved and particulate sampling and laboratory culturing of field-isolates, is proposed. Southern Ocean water, biomass, live diatoms and fossil diatom sampling will be conducted to investigate species and assemblage related variability in diatom nitrogen and silicon isotopes and their relationship to surface nutrient fields and early diagenesis. Access to fresh materials produced in an analogous environmental context to the sediments of primary interest is critical for making robust paleoceanographic reconstructions. Field sampling will occur along 175\u00b0W, transecting the Antarctic Circumpolar Current from the subtropics to the marginal ice edge. Collection of water, sinking/suspended particles and multi-core samples from 13 stations and 3 shipboard incubation experiments will be used to test four proposed hypotheses that together evaluate the significance of existing culture results and seek to allow the best use of diatom nutrient isotope proxies in evaluating the biological pump.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1341612_1",
"title": "Assembling and Mining the Genomes of Giant Antarctic Foraminifera",
@@ -151215,6 +133418,45 @@
"description": "Intellectual Merit: This project will yield new information on the long term Antarctic climate and landscape evolution from measurements of cosmogenic nuclides in quartz sand from two unique permafrost cores collected in Beacon Valley, Antarctica. The two cores have already been drilled in ice-cemented, sand-rich permafrost at 5.5 and 30.6 meters depth, and are currently in cold storage at the University of Washington. The cores are believed to record the monotonic accumulation of sand that has been blown into lower Beacon Valley and inflated the surface over time. The rate of accumulation and any hiatus in the accumulation are believed to reflect in part the advance and retreat of the Taylor Glacier. Preliminary measurements of cosmogenically-produced beryllium (10Be) and aluminum (26Al) in quartz sand in the 5.5-meter depth core reveal that it has been accreting at a rate of 2.5 meters/Myr for the past million years. Furthermore, prior to that time, lower Beacon Valley was most likely covered (shielded from the atmosphere thereby having no or very low production of cosmogenic nuclides in quartz) by Taylor Glacier from 1 to 3.5 Myr BP. These preliminary measurements also suggest that the 30.6 meter core may provide a record of over 10 million years. The emphasis is the full characterization of the core and analysis of cosmogenic nuclides (including cosmogenic neon) in the 30.6 meter permafrost core to develop a burial history of the sands and potentially a record the waxing and waning of the Taylor Glacier. This will allow new tests of our current understanding of surface dynamics and climate history in the McMurdo Dry Valleys (MDV) based on the dated stratigraphy of eolian sand that has been accumulating and inflating the surface for millions of years. This is a new process of surface inflation whose extent has not been well documented, and holds the potential to develop a continuous history of surface burial and glacial expansion. This project will provide a new proxy for understanding the climatic history of the Dry Valleys and will test models for the evolution of permafrost in Beacon Valley. Broader impacts: The landscape history of the McMurdo Dry Valleys is important because geological deposits there comprise the richest terrestrial record available from Antarctica. By testing the current age model for these deposits, we will improve understanding of Antarctica?s role in global climate change. This project will train one graduate and one undergraduate student in geochemistry, geochronology, and glacial and periglacial geology. They will participate substantively in the research and are expected to develop their own original ideas. Results from this work will be incorporated into undergraduate and graduate teaching curricula, will be published in the peer reviewed literature, and the data will be made public.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1341712_Not provided",
+ "title": "Collaborative Proposal: Decades-long Experiment on Wind-Driven Rock Abrasion in the Ice-Free Valleys, Antarctica",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2014-12-15",
+ "end_date": "2017-11-30",
+ "bbox": "160.9, -77.6, 162.7, -76.7",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071865-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071865-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-1341712_Not%20provided",
+ "description": "Many of the natural processes that modify the landscape inhabited by humans occur over very long timescales, making them difficult to observe. Exceptions include rare catastrophic events such as earthquakes, volcanic eruptions, and floods that occur on short timescales. Many significant processes that affect the land and landscape that we inhabit operate on time scales imperceptible to humans. One of these processes is wind transport of sand, with related impacts to exposed rock surfaces and man-made objects, including buildings, windshields, solar panels and wind-farm turbine blades. The goal of this project is to gain an understanding of wind erosion processes over long timescales, in the Antarctic Dry Valleys, a cold desert environment where there were no competing processes (such as rain and vegetation) that might mask the effects. The main objective is recovery of rock samples that were deployed in 1983/1984 at 11 locations in the Antarctic Dry Valleys, along with measurements on the rock samples and characterization of the sites. In the late 1980s and early 1990s some of these samples were returned and indicated more time was needed to accumulate information about the timescales and impacts of the wind erosion processes. This project will allow collection of the remaining samples from this experiment after 30 to 31 years of exposure. The field work will be carried out during the 2014/15 Austral summer. The results will allow direct measurement of the abrasion rate and hence the volumes and timescales of sand transport; this will conclude the longest direct examination of such processes ever conducted. Appropriate scaling of the results may be applied to buildings, vegetation (crops), and other aspects of human presence in sandy and windy locations, in order to better determine the impact of these processes and possible mitigation of the impacts. The project is a collaborative effort between a small business, Malin Space Scien ce Systems (MSSS), and the University of Washington (UW). MSSS will highlight this Antarctic research on its web site, by developing thematic presentations describing our research and providing a broad range of visual materials. The public will be engaged through daily updates on a website and through links to material prepared for viewing in Google Earth. UW students will be involved in the laboratory work and in the interpretation of the results. Technical Description of Project: The goal of this project is to study the role of wind abrasion by entrained particles in the evolution of the McMurdo Dry Valleys in the Transantarctic Mountains. During the 1983 to 1984 field seasons, over 5000 rock targets were installed at five heights facing the 4 cardinal directions at 10 locations (with an additional site containing fewer targets) to study rates of physical weathering due primarily to eolian abrasion. In addition, rock cubes and cylinders were deployed at each site to examine effects of chemical weathering. The initial examination of sam ples returned after 1, 5, and 10 years of exposure, showed average contemporary abrasion rates consistent with those determined by cosmogenic isotope studies, but further stress that average should not be interpreted as meaning uniform. The samples will be characterized using mass measurements wtih 0.01 mg precision balances, digital microphotography to compare the evolution of their surface features and textures, SEM imaging to examine the micro textures of abraded rock surfaces, and optical microscopy of thin sections of a few samples to examine the consequences of particle impacts extending below the abraded surfaces. As much as 60-80% of the abrasion measured in samples from 1984-1994 appears to have occurred during a few brief hours in 1984. This is consistent with theoretical models that suggest abrasion scales as the 5th power of wind velocity. The field work will allow return of multiple samples after three decades of exposure, which will provide a statistical sampling (beyond what is acquired by studying a single sample), and will yield the mass loss data in light of complementary environmental and sand kinetic energy flux data from other sources (e.g. LTER meteorology stations). This study promises to improve insights into one of the principal active geomorphic process in the Dry Valleys, an important cold desert environment, and the solid empirical database will provide general constraints on eolian abrasion under natural conditions.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1341717_1",
+ "title": "Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2015-06-15",
+ "end_date": "2019-05-31",
+ "bbox": "160, -78, -150, -55",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545372301-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545372301-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-1341717_1",
+ "description": "The one place on Earth consistently showing increases in sea ice area, duration, and concentration is the Ross Sea in Antarctica. Satellite imagery shows about half of the Ross Sea increases are associated with changes in the austral fall, when the new sea ice is forming. The most pronounced changes are also located near polynyas, which are areas of open ocean surrounded by sea ice. To understand the processes driving the sea ice increase, and to determine if the increase in sea ice area is also accompanied by a change in ice thickness, this project will conduct an oceanographic cruise to the polynyas of the Ross Sea in April and May, 2017, which is the austral fall. The team will deploy state of the art research tools including unmanned airborne systems (UASs, commonly called drones), autonomous underwater vehicles (AUVs), and remotely operated underwater vehicles (ROVs). Using these tools and others, the team will study atmospheric, oceanic, and sea ice properties and processes concurrently. A change in sea ice production will necessarily change the ocean water below, which may have significant consequences for global ocean circulation patterns, a topic of international importance. All the involved institutions will be training students, and all share the goal of expanding climate literacy in the US, emphasizing the role high latitudes play in the Earth's dynamic climate. The main goal of the project is to improve estimates of sea ice production and water mass transformation in the Ross Sea. The team will fully capture the spatial and temporal changes in air-ice-ocean interactions when they are initiated in the austral fall, and then track the changes into the winter and spring using ice buoys, and airborne mapping with the newly commissioned IcePod instrument system, which is deployed on the US Antarctic Program's LC-130 fleet. The oceanographic cruise will include stations in and outside of both the Terra Nova Bay and Ross Ice Shelf polynyas. Measurements to be made include air-sea boundary layer fluxes of heat, freshwater, and trace gases, radiation, and meteorology in the air; ice formation processes, ice thickness, snow depth, mass balance, and ice drift within the sea ice zone; and temperature, salinity, and momentum in the ocean below. Following collection of the field data, the team will improve both model parameterizations of air-sea-ice interactions and remote sensing algorithms. Model parameterizations are needed to determine if sea-ice production has increased in crucial areas, and if so, why (e.g., stronger winds or fresher oceans). The remote sensing validation will facilitate change detection over wider areas and verify model predictions over time. Accordingly this project will contribute to the international Southern Ocean Observing System (SOOS) goal of measuring essential climate variables continuously to monitor the state of the ocean and ice cover into the future.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1419979_1",
+ "title": "Collaborative Research: Phase 2 Development of A Rapid Access Ice Drilling (RAID) Platform for Research in Antarctica",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2014-07-23",
+ "end_date": "2019-07-31",
+ "bbox": "166.65, -78.625, 166.69, -78.62",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072235-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072235-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-1419979_1",
+ "description": "The PIs have designed and built a new type of rapid access ice drill (RAID) for use in Antarctica. This community tool has the ability to rapidly drill through ice up to 3300 m thick and then collect samples of the ice, ice-sheet bed interface, and bedrock substrate below. This drilling technology will provide a new way to obtain in situ measurements and samples for interdisciplinary studies in geology, glaciology, paleoclimatology, microbiology, and astrophysics. The RAID drilling platform will give the scientific community access to records of geologic and climatic change on a variety of timescales, from the billion-year rock record to million-year ice and climate histories. Development of this platform will enable scientists to address critical questions about the deep interface between the Antarctic ice sheets and the substrate below. Phase I was for design and work with the research community to develop detailed science requirements for the drill. This proposal, Phase II, constructed, assembled and tested the RAID drilling platform at a site near McMurdo (Minna Bluff) where 700-m thick ice sits on bedrock.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1443260_Not provided",
"title": "Allan HILLs Englacial Site (AHILLES) Selection",
@@ -151228,6 +133470,19 @@
"description": "Previous work has shown that the Allan Hills Blue Ice Area preserves a continuous climate record that extends back at least 400k years along an ice-flow line. Two kilometers to the east of this flow line, the oldest ice on Earth (~1 million years old) has been found only 120 m below the surface. Meteorites collected in the area are reported to be as old as 1.8 million years, suggesting still older ice may be present. Combined, these data suggest that the Allan Hills area could contain a continuous, well-resolved environmental record spanning at least the last million years. The area has been selected as an upcoming target for the Intermediate Depth Ice Core Drill by the US Ice Core Working Group. The project goal of this project is to select a core site to extract a continuous record of million-year-old ice. Ice-penetrating radar surveys will be used to track outcropping dated radar-detected layers throughout the region. The maps of ice-thickness and isochronous layers will be used to select a potential drill site. Ice cores provide a robust reconstruction of past climate and extending this record beyond 800k years will open new opportunities to study the Earth climate system. The data collected will also be used to investigate bedrock and ice flow conditions that are favorable to the preservation of old ice, which may allow targeted investigation of other blue ice areas in Antarctica. Results from this study will ensure the successful future collection of the oldest, continuous ice core climate record thereby advancing scientific discovery and innovation. The study will also enhance research partnerships and infrastructure by extension of the framework for an \"Ice Climate Park\" in the Allan Hills at which any interested US or foreign investigator could study continuous climate archives for the past 1+ Ma through the collection of highly accessible, large volume samples from developed ice age and flow maps. UMaine's state-of-th e-art cyber-infrastructure will provide the global community of scientists with fast access to project result. Work will be presented to the public through outreach programs including, but not limited to, school visits, on-site tours, and media releases. Lastly, the project will provide Antarctic fieldwork and research experience for a graduate student and support the career development of two early career scientists.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1443470_1",
+ "title": "Carbonyl Sulfide, Methyl Chloride, and Methyl Bromide Measurements in the New Intermediate-depth South Pole Ice Core",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2015-06-15",
+ "end_date": "2019-11-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072223-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072223-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1443470_1",
+ "description": "In the past, Earth's climate underwent dramatic changes that influenced physical, chemical, geological, and biological processes on a global scale. Such changes left an imprint in Earth's atmosphere, as shown by the variability in abundances of trace gases like carbon dioxide and methane. In return, changes in the atmospheric trace gas composition affected Earth's climate. Studying compositional variations of the past atmosphere helps us understand the history of interactions between global biogeochemical cycles and Earth?s climate. The most reliable information on past atmospheric composition comes from analysis of air entrapped in polar ice cores. This project aims to generate ice-core records of relatively short-lived, very-low-abundance trace gases to determine the range of past variability in their atmospheric levels and investigate the changes in global biogeochemical cycles that caused this variability. This project measures three such gases: carbonyl sulfide, methyl chloride, and methyl bromide. Changes in carbonyl sulfide can indicate changes in primary productivity and photosynthetic update of carbon dioxide. Changes in methyl chloride and methyl bromide significantly impact natural variability in stratospheric ozone. In addition, the processes that control atmospheric levels of methyl chloride and methyl bromide are shared with those controlling levels of atmospheric methane. The measurements will be made in the new ice core from the South Pole, which is expected to provide a 40,000-year record. The primary focus of this project is to develop high-quality trace gas records for the entire Holocene period (the past 11,000 years), with additional, more exploratory measurements from the last glacial period including the period from 29,000-36,000 years ago when there were large changes in atmospheric methane. Due to the cold temperatures of the South Pole ice, the proposed carbonyl sulfide measurements are expected to provide a direct measure of the past atmospheric variability of this gas without the large hydrolysis corrections that are necessary for interpretation of measurements from ice cores in warmer settings. Furthermore, we will test the expectation that contemporaneous measurements from the last glacial period in the deep West Antarctic Ice Sheet Divide ice core will not require hydrolysis loss corrections. With respect to methyl chloride, we aim to verify and improve the existing Holocene atmospheric history from the Taylor Dome ice core in Antarctica. The higher resolution of our measurements compared with those from Taylor Dome will allow us to derive a more statistically significant relationship between methyl chloride and methane. With respect to methyl bromide, we plan to extend the existing 2,000-year database to 11,000 years. Together, the methyl bromide and methyl chloride records will provide strong measurement-based constraints on the natural variability of stratospheric halogens during the Holocene period. In addition, the methyl bromide record will provide insight into the correlation between methyl chloride and methane during the Holocene period due to common sources and sinks.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1443637_1",
"title": "Analysis of Voltage-gated Ion Channels in Antarctic Fish",
@@ -151254,6 +133509,19 @@
"description": "Antarctic fish and their early developmental stages are an important component of the food web that sustains life in the cold Southern Ocean (SO) that surrounds Antarctica. They feed on smaller organisms and in turn are eaten by larger animals, including seals and killer whales. Little is known about how rising ocean temperatures will impact the development of Antarctic fish embryos and their growth after hatching. This project will address this gap by assessing the effects of elevated temperatures on embryo viability, on the rate of embryo development, and on the gene \"toolkits\" that respond to temperature stress. One of the two species to be studied does not produce red blood cells, a defect that may make its embryos particularly vulnerable to heat. The outcomes of this research will provide the public and policymakers with \"real world\" data that are necessary to inform decisions and design strategies to cope with changes in the Earth's climate, particularly with respect to protecting life in the SO. The project will also further the NSF goals of training new generations of scientists, including providing scientific training for undergraduate and graduate students, and of making scientific discoveries available to the general public. This includes the unique educational opportunity for undergraduates to participate in research in Antarctica and engaging the public in several ways, including the development of professionally-produced educational videos with bi-lingual closed captioning. Since the onset of cooling of the SO about 40 million years ago, evolution of Antarctic marine organisms has been driven by the development of cold temperatures. Because body temperatures of Antarctic fishes fall in a narrow range determined by their habitat (-1.9 to +2.0 C), they are particularly attractive models for understanding how organismal physiology and biochemistry have been shaped to maintain life in a cooling environment. Yet these fishes are now threatened by rapid warming of the SO. The long-term objective of this project is to understand the capacities of Antarctic fishes to acclimatize and/or adapt to oceanic warming through analysis of their underlying genetic \"toolkits.\" This objective will be accomplished through three Specific Aims: 1) assessing the effects of elevated temperatures on gene expression during development of embryos; 2) examining the effects of elevated temperatures on embryonic morphology and on the temporal and spatial patterns of gene expression; and 3) evaluating the evolutionary mechanisms that have led to the loss of the red blood cell genetic program by the white-blooded fishes. Aims 1 and 2 will be investigated by acclimating experimental embryos of both red-blooded and white-blooded fish to elevated temperatures. Differential gene expression will be examined through the use of high throughput RNA sequencing. The temporal and spatial patterns of gene expression in the context of embryonic morphology (Aim 2) will be determined by microscopic analysis of embryos \"stained\" with (hybridized to) differentially expressed gene probes revealed by Aim 1; other key developmental marker genes will also be used. The genetic lesions resulting from loss of red blood cells by the white-blooded fishes (Aim 3) will be examined by comparing genes and genomes in the two fish groups.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1542778_Not provided",
+ "title": "Climate History and Flow Processes from Physical Analyses of the SPICECORE South Pole Ice Core",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2016-06-01",
+ "end_date": "2019-05-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071857-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532071857-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-1542778_Not%20provided",
+ "description": "This award supports a three-year effort to study physical properties of the South Pole ice core to help provide a high-time-resolution history of trace gases and other paleoclimatic indicators from an especially cold site with high preservation potential for important signals. The physical-properties studies include visual inspection to identify any flow disturbances and for identifying annual layers and other features, and combined bubble, grain and ice crystal orientation studies to better understand the processes occurring in the ice that affect the climate record and the ice-sheet behavior. Success of these efforts will provide necessary support for dating and quality control to others studying the ice core, as well as determining the climate history of the site, flow state, and key physical processes in ice. The intellectual merits of the project include better understanding of physical processes, paleoclimatic reconstruction, dating of the ice, and quality assurance. Visual inspection of the core will help identify evidence of flow disturbances that would disrupt the integrity of the climate record and will reveal volcanic horizons and other features of interest. Annual layer counting will be conducted to help estimate accumulation rate over time as recorded in the ice core. Measurements of C-axis fabric, grain size and shapes, and bubble characteristics will provide information about processes occurring in the ice sheet as well as the history of ice flow, current flow state and how the ice is flowing and how easily it will flow in the future. Analysis of this data in conjunction with microCT data will help to reveal grain-scale processes. The broader impacts of the project include support for an early-career, post-doctoral researcher, and improved paleoclimatic data of societal relevance. The results will be incorporated into the active program of education and outreach which have educated many students, members of the public and policy makers through the sharing of information and educational materials about all aspects of ice core science and paleoclimate.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1543383_1",
"title": "Antarctic Fish and MicroRNA Control of Development and Physiology",
@@ -151293,6 +133561,19 @@
"description": "Cryptoendoliths are organisms that colonize microscopic cavities of rocks, which give them protection and allow them to inhabit extreme environments, such as the cold, arid desert of the Dry Valleys of Antarctica. Fossilized cryptoendoliths preserve the forms and features of organisms from the past and thus provide a unique opportunity to study the organisms' life histories and environments. To study this fossil record, there needs to be a better understanding of what environmental conditions allow these fossils to form. A climate gradient currently exists in the Dry Valleys that allows us to study living, dead, and fossilized cryptoendoliths from mild to increasingly harsh environments; providing insight to the limits of life and how these fossils are formed. This project will develop instruments to detect the biological activity of the live microorganisms and conduct laboratory experiments to determine the environmental limits of their survival. The project also will characterize the chemical and structural features of the living, dead, and fossilized cryptoendoliths to understand how they become fossilized. Knowing how microorganisms are preserved as fossils in cold and dry environments like Antarctica can help to refine methods that can be used to search for and identify evidence for extraterrestrial life in similar habitats on planets such as Mars. This project includes training of graduate and undergraduate students. Little is known about cryptoendolithic microfossils and their formation processes in cold, arid terrestrial habitats of the Dry Valleys of Antarctica, where a legacy of activity is discernible in the form of biosignatures including inorganic materials and microbial fossils that preserve and indicate traces of past biological activity. The overarching goals of the proposed work are: (1) to determine how rates of microbial respiration and biodegradation of organic matter control microbial fossilization; and (2) to characterize microbial fossils and their living counterparts to elucidate mechanisms for fossilization. Using samples collected across an increasingly harsher (more cold and dry) climatic gradient that encompasses living, dead, and fossilized cryptoendolithic microorganisms, the proposed work will: (1) develop an instrument to be used in the field that can measure small concentrations of CO2 in cryptoendolithic habitats in situ; (2) use microscopy techniques to characterize endolithic microorganisms as well as the chemical and morphological characteristics of biosignatures and microbial fossils. A metagenomic survey of microbial communities in these samples will be used to characterize differences in diversity, identify if specific microorganisms (e.g. prokaryotes, eukaryotes) are more capable of surviving under these harsh climatic conditions, and to corroborate microscopic observations of the viability states of these microorganisms.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1643534_1",
+ "title": "Biological and Physical Drivers of Oxygen Saturation and Net Community Production Variability along the Western Antarctic Peninsula",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2016-06-15",
+ "end_date": "2023-07-15",
+ "bbox": "-83, -73, -56, -62",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075509-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075509-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYXRtb3NwaGVyZS1vY2Vhbi1pY2UgaW50ZXJhY3Rpb24gaW4gYSBjb2FzdGFsIHBvbHlueWFcIixcIkFNRF9VU0FQRENcIixcIk5TRi1BTlQwNy0zOTQ2NFwiLFwiMVwiLDI1MzIwNjk3NDMsMl0iLCJ1bW0iOiJbXCJhdG1vc3BoZXJlLW9jZWFuLWljZSBpbnRlcmFjdGlvbiBpbiBhIGNvYXN0YWwgcG9seW55YVwiLFwiQU1EX1VTQVBEQ1wiLFwiTlNGLUFOVDA3LTM5NDY0XCIsXCIxXCIsMjUzMjA2OTc0MywyXSJ9/USAP-1643534_1",
+ "description": "This project seeks to make detailed measurements of the oxygen content of the surface ocean along the Western Antarctic Peninsula. Detailed maps of changes in net oxygen content will be combined with measurements of the surface water chemistry and phytoplankton distributions. The project will determine the extent to which on-shore or offshore phytoplankton blooms along the peninsula are likely to lead to different amounts of carbon being exported to the deeper ocean. The project will analyze oxygen in relation to argon that will allow determination of the physical and biological contributions to surface ocean oxygen dynamics. These assessments will be combined with spatial and temporal distributions of nutrients (iron and macronutrients) and irradiances. This will allow the investigators to unravel the complex interplay between ice dynamics, iron and physical mixing dynamics as they relate to Net Community Production (NCP) in the region. NCP measurements will be normalized to Particulate Organic Carbon (POC) and be used to help identify area of \"High Biomass and Low NCP\" and those with \"Low Biomass and High NCP\" as a function of microbial plankton community composition. The team will use machine learning methods- including decision tree assemblages and genetic programming- to identify plankton groups key to facilitating biological carbon fluxes. Decomposing the oxygen signal along the West Antarctic Peninsula will also help elucidate biotic and abiotic drivers of the O2 saturation to further contextualize the growing inventory of oxygen measurements (e.g. by Argo floats) throughout the global oceans.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1643722_1",
"title": "A High Resolution Atmospheric Methane Record from the South Pole Ice Core",
@@ -151306,6 +133587,58 @@
"description": "This award supports a project to measure the concentration of the gas methane in air trapped in an ice core collected from the South Pole. The data will provide an age scale (age as a function of depth) by matching the South Pole methane changes with similar data from other ice cores for which the age vs. depth relationship is well known. The ages provided will allow all other gas measurements made on the South Pole core (by the PI and other NSF supported investigators) to be interpreted accurately as a function of time. This is critical because a major goal of the South Pole coring project is to understand the history of rare gases in the atmosphere like carbon monoxide, carbon dioxide, ethane, propane, methyl chloride, and methyl bromide. Relatively little is known about what controls these gases in the atmosphere despite their importance to atmospheric chemistry and climate. Undergraduate assistants will work on the project and be introduced to independent research through their work. The PI will continue visits to local middle schools to introduce students to polar science, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) as part of the project. Methane concentrations from a major portion (2 depth intervals, excluding the brittle ice-zone which is being measured at Penn State University) of the new South Pole ice core will be used to create a gas chronology by matching the new South Pole ice core record with that from the well-dated WAIS Divide ice core record. In combination with measurements made at Penn State, this will provide gas dating for the entire 50,000-year record. Correlation will be made using a simple but powerful mid-point method that has been previously demonstrated, and other methods of matching records will be explored. The intellectual merit of this work is that the gas chronology will be a fundamental component of this ice core project, and will be used by the PI and other investigators for dating records of atmospheric composition, and determining the gas age-ice age difference independently of glaciological models, which will constrain processes that affected firn densification in the past. The methane data will also provide direct stratigraphic markers of important perturbations to global biogeochemical cycles (e.g., rapid methane variations synchronous with abrupt warming and cooling in the Northern Hemisphere) that will tie other ice core gas records directly to those perturbations. A record of the total air content will also be produced as a by-product of the methane measurements and will contribute to understanding of this parameter. The broader impacts include that the work will provide a fundamental data set for the South Pole ice core project and the age scale (or variants of it) will be used by all other investigators working on gas records from the core. The project will employ an undergraduate assistant(s) in both years who will conduct an undergraduate research project which will be part of the student's senior thesis or other research paper. The project will also offer at least one research position for the Oregon State University Summer REU site program. Visits to local middle schools, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) will also be part of the project.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1643864_1",
+ "title": "Collaborative Research: Borehole Logging to Classify Volcanic Signatures in Antarctic Ice",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2017-05-08",
+ "end_date": "",
+ "bbox": "-112.085, -79.467, -112.085, -79.467",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074603-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074603-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-1643864_1",
+ "description": "This dataset comprises new photographs and measurements of a WAIS Divide vertical thin section, WDC-06A 420 VTS, previously prepared and measured by J. Fitzpatrick, D. E. Voigt, and R. Alley (dataset DOI: 10.7265/N5W093VM; http://www.usap-dc.org/view/dataset/609605) as part of a larger study of the WAIS Divide ice core (Fitzpatrick, J. et al, 2014, Physical properties of the WAIS Divide ice core, Journal of Glaciology, 60, 224, 1181-1198. (doi:10.3189/2014JoG14J100). These images were taken as a design test of our new automated lightweight c-axis analyzer, dubbed ALPACA, which implements the ice fabric analysis functionality of the Wilen system used by Fitzpatrick et al. in an easily-portable, field-deployable form factor.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1644004_1",
+ "title": "Collaborative Research: Foraging Ecology and Physiology of the Leopard Seal",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2017-10-01",
+ "end_date": "2022-09-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2560369942-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2560369942-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-1644004_1",
+ "description": "This research project is a multidisciplinary effort that brings together a diverse team of scientists from multiple institutions together to understand the foraging behavior and physiology of leopard seals and their role in the Southern Ocean food web. The project will examine the physiology and behavior of leopard seals to in an effort to determine their ability to respond to potential changes in their habitat and foraging areas. Using satellite tracking devices the team will examine the movement and diving behavior of leopard seals and couple this information with measurements of their physiological capacity. The project will determine whether leopard seals- who feed on diverse range of prey- are built differently than their deep diving relatives the Weddell and elephant seal who feed on fish and squid. The team will also determine whether leopard seals are operating at or near their physiological capability to determine how much, if any, ?reserve capacity? they might have to forage and live in changing environments. A better understanding of their home ranges, movement patterns, and general behavior will also be informative to help in managing human-leopard seal interactions. The highly visual nature of the data and analysis for this project lends itself to public and educational display and outreach, particularly as they relate to the changing Antarctic habitats. The project will use the research results to educate the public on the unique physiological and ecological adaptations to extreme environments seen in diving marine mammals, including adaptations to exercise under low oxygen conditions and energy utilization, which affect and dictate the lifestyle of these exceptional organisms. The results of the project will also contribute to the broader understanding that may enhance the aims of managing marine living resources. The leopard seal is an apex predator in the Antarctic ecosystem. This project seeks to better understand the ability of the leopard seal to cope with a changing environment. The project will first examine the foraging behavior and habitat utilization of leopard seals using satellite telemetry. Specifically, satellite telemetry tags will be used to obtain dive profiles and movement data for individuals across multiple years. Diet and trophic level positions across multiple temporal scales will then be determined from physiological samples (e.g., blood, vibrissae, blubber fatty acids, stable isotopes, fecal matter). Oceanographic data will be integrated with these measures to develop habitat models that will be used to assess habitat type, habitat utilization, habitat preference, and home range areas for individual animals. Diet composition for individual seals will be evaluated to determine whether specific animals are generalists or specialists. Second, the team will investigate the physiological adaptations that allow leopard seals to be apex predators and determine to what extent leopard seals are working at or near their physiological limit. Diving behavior and physiology of leopard seals will be evaluated (for instance the aerobic dive limit for individual animals and skeletal muscle adaptations will be determined for diving under hypoxic conditions). Data from time-depth recorders will be used to determine foraging strategies for individual seals, and these diving characteristics will be related to physiological variables (e.g., blood volume, muscle oxygen stores) to better understand the link between foraging behavior and physiology. The team will compare myoglobin storage in swimming muscles associated with both forelimb and hind limb propulsion and the use of anaerobic versus aerobic metabolic systems while foraging.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1644073_1",
+ "title": "Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2017-08-18",
+ "end_date": "2020-08-31",
+ "bbox": "-116, -79, 160, -72",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074465-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074465-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-1644073_1",
+ "description": "Phytoplankton blooms in the coastal waters of the Ross Sea, Antarctica are typically dominated by either diatoms or Phaeocystis Antarctica (a flagellated algae that often can form large colonies in a gelatinous matrix). The project seeks to determine if an association of bacterial populations with Phaeocystis antarctica colonies can directly supply Phaeocystis with Vitamin B12, which can be an important co-limiting micronutrient in the Ross Sea. The supply of an essential vitamin coupled with the ability to grow at lower iron concentrations may put Phaeocystis at a competitive advantage over diatoms. Because Phaeocystis cells can fix more carbon than diatoms and Phaeocystis are not grazed as efficiently as diatoms, the project will help in refining understanding of carbon dynamics in the region as well as the basis of the food web webs. Such understanding also has the potential to help refine predictive ecological models for the region. The project will conduct public outreach activities and will contribute to undergraduate and graduate research. Engagement of underrepresented students will occur during summer student internships. A collaboration with Italian Antarctic researchers, who have been studying the Terra Nova Bay ecosystem since the 1980s, aims to enhance the project and promote international scientific collaborations. The study will test whether a mutualistic symbioses between attached bacteria and Phaeocystis provides colonial cells a mechanism for alleviating chronic Vitamin B12 co-limitation effects thereby conferring them with a competitive advantage over diatom communities. The use of drifters in a time series study will provide the opportunity to track in both space and time a developing algal bloom in Terra Nova Bay and to determine community structure and the physiological nutrient status of microbial populations. A combination of flow cytometry, proteomics, metatranscriptomics, radioisotopic and stable isotopic labeling experiments will determine carbon and nutrient uptake rates and the role of bacteria in mitigating potential vitamin B12 and iron limitation. Membrane inlet and proton transfer reaction mass spectrometry will also be used to estimate net community production and release of volatile organic carbon compounds that are climatically active. Understanding how environmental parameters can influence microbial community dynamics in Antarctic coastal waters will advance an understanding of how changes in ocean stratification and chemistry could impact the biogeochemistry and food web dynamics of Southern Ocean ecosystems.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1644197_1",
+ "title": "Collaborative Research: New Constraints on Post-Glacial Rebound and Holocene Environmental History along the Northern Antarctic Peninsula from Raised Beaches",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2017-08-08",
+ "end_date": "2021-08-31",
+ "bbox": "-65, -65, -55, -61",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2605088269-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2605088269-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-1644197_1",
+ "description": "Glacier ice loss from Antarctica has the potential to lead to a significant rise in global sea level. One line of evidence for accelerated glacier ice loss has been an increase in the rate at which the land has been rising across the Antarctic Peninsula as measured by GPS receivers. However, GPS observations of uplift are limited to the last two decades. One goal of this study is to determine how these newly observed rates of uplift compare to average rates of uplift across the Antarctic Peninsula over a longer time interval. Researchers reconstructed past sea levels using the age and elevation of ancient beaches now stranded above sea level on the low-lying coastal hills of the Antarctica Peninsula and determined the rate of uplift over the last 5,000 years. The researchers analyzed the structure of the beaches using ground-penetrating radar and the characteristics of beach sediments to understand how sea-level rise and past climate changes are recorded in beach deposits. We found that unlike most views of how sea level changed across Antarctica over the last 5,000 years, its history is complex with periods of increasing rates of sea-level fall as well as short periods of potential sea-level rise. We attribute these oscillations in the nature of sea-level change across the Antarctic Peninsula to changes in the ice sheet over the last 5,000 years. These changes in sea level also suggest our understanding of the Earth structure beneath the Antarctic Peninsula need to be revised. The beach deposits themselves also record periods of climate change as reflected in the size and shape of their cobbles. This project has lead to the training of five graduate students, three undergraduate students, and outreach talks to k-12 schools in three communities.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1644234_1",
"title": "A Test of Global and Antarctic Models for Cosmogenic-nuclide Production Rates using High-precision Dating of 40Ar/39Ar Lava Flows from Mount Erebus",
@@ -151345,6 +133678,19 @@
"description": "Current generation of coupled climate models, that are used to make climate projections, lack the resolution to adequately resolve ocean mesoscale (10 - 100km) processes, exhibiting significant biases in the ocean carbon uptake. Mesoscale processes include many features including jets, fronts and eddies that are crucial for bio-physical interactions, air-sea CO2 exchange and the supply of iron to the surface ocean. This modeling project will support the eddy resolving regional simulations to understand the mechanisms that drives bio-physical interaction and air-sea exchange of carbon dioxide. ",
"license": "proprietary"
},
+ {
+ "id": "USAP-1744828_1",
+ "title": "Collaborative Proposal: A High-Latitude Conjugate Area Array Experiment to Investigate Solar Wind - Magnetosphere - Ionosphere Coupling",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2018-08-15",
+ "end_date": "2022-07-31",
+ "bbox": "6, -85, 89, -69",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075157-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075157-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-1744828_1",
+ "description": "This proposal is directed toward an investigation of the coupling phenomena between the solar wind and the Earth's magnetosphere and ionosphere, particularly on the day side of the Earth and observed simultaneously at high latitudes in both northern and southern hemispheres. Through past NSF support, several magnetometers have been deployed in Antarctica, Greenland, and Svalbard, while new collaborations have been developed with the Polar Research Institute of China (PRIC) to further increase coverage through data sharing. This project will expand the existing Virginia Tech-PRIC partnership to include New Jersey Institute of Technology, University of New Hampshire, and the Technical University of Denmark and (1) construct two new stations to be deployed by PRIC along a chain from Zhongshan station to Dome A to complete a conjugate area array, (2) integrate data from all stations into a common format, and (3) address two focused science questions. Both instrument deployment and data processing efforts are motivated by a large number of solar wind-magnetosphere-ionosphere (SWMI) coupling science questions; this project will address two questions pertaining to Ultra Low Frequency (ULF) waves: (1) What is the global ULF response to Hot Flow Anomalies (HFA) and how is it affected by asymmetries in the SWMI system? (2) How do dawn-dusk and north-south asymmetries in the coupled SWMI system affect global ULF wave properties during periods with large, steady east-west Interplanetary Magnetic field (IMF By)? This proposal requires fieldwork in the Antarctic, but all fieldwork will be conducted by PRIC. ",
+ "license": "proprietary"
+ },
{
"id": "USAP-1744989_1",
"title": "A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins",
@@ -151371,6 +133717,32 @@
"description": "Snow or firn aquifers are areas of subsurface meltwater storage that form in glaciated regions experiencing intense summer surface melting and high snowfall. Aquifers can induce hydrofracturing, and thereby accelerate flow or trigger ice-shelf instability leading to increased ice-sheet mass loss. Widespread aquifers have recently been discovered in Greenland. These have been modelled and mapped using new satellite and airborne remote-sensing techniques. In Antarctica, a series of catastrophic break-ups at the Wilkins Ice Shelf on the Antarctic Peninsula that was previously attributed to effects of surface melting and brine infiltration is now recognized as being consistent with a firn aquifer--possibly stimulated by long-period ocean swell--that enhanced ice-shelf hydrofracture. This project will verify inferences (from the same mapping approach used in Greenland) that such aquifers are indeed present in Antarctica. The team will survey two high-probability sites: the Wilkins Ice Shelf, and the southern George VI Ice Shelf.
This two-year study will characterize the firn at the two field sites, drill shallow (~60 m maximum) ice cores, examine snow pits (~2 m), and install two AMIGOS (Automated Met-Ice-Geophysics Observing System) stations that include weather, GPS, and firn temperature sensors that will collect and transmit measurements for at least a year before retrieval. Ground-penetrating radar survey in areas surrounding the field sites will track aquifer extent and depth variations. Ice and microwave model studies will be combined with the field-observed properties to further explore the range of firn aquifers and related upper-snow-layer conditions. This study will provide valuable experience for three early-career scientists. An outreach effort through field blogging, social media posts, K-12 presentations, and public lectures is planned to engage the public in the team's Antarctic scientific exploration and discovery.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1745137_1",
+ "title": "CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2018-06-29",
+ "end_date": "2023-06-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074468-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074468-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1745137_1",
+ "description": "Earth's geologic record shows that the great ice sheets have contributed to rates of sea-level rise that have been much higher than those observed today. That said, some sectors of the current Antarctic ice sheet are losing mass at large and accelerating rates. One of the primary challenges for placing these recent and ongoing changes in the context of geologically historic rates, and for making projections decades to centuries into the future, is the difficulty of observing conditions and processes beneath the ice sheet. Whereas satellite observations allow tracking of the ice-surface velocity and elevation on the scale of glacier catchments to ice sheets, airborne ice-penetrating radar has been the only approach for assessing conditions on this scale beneath the ice. These radar observations have been made since the late 1960s, but, because many different instruments have been used, it is difficult to track change in subglacial conditions through time. This project will develop the technical tools and approaches required to cross-compare among these measurements and thus open up opportunities for tracking and understanding changes in the critical subglacial environment. Intertwined with the research and student training on this project will be an outreach education effort to provide middle school and high school students with improved resources and enhanced exposure to geophysical, glaciological, and remote-sensing topics through partnership with the National Science Olympiad. The radar sounding of ice sheets is a powerful tool for glaciological science with broad applicability across a wide range of cryosphere problems and processes. Radar sounding data have been collected with extensive spatial and temporal coverage across the West Antarctic Ice Sheet, including areas where multiple surveys provide observations that span decades in time or entire cross-catchment ice-sheet sectors. However, one major obstacle to realizing the scientific potential of existing radar sounding observations in Antarctica is the lack of analysis approaches specifically developed for cross-instrument interpretation. Radar is also spatially limited and often has gaps of many tens of kilometers between data points. Further work is needed to investigate ways of extrapolating radar information beyond the flight lines. This project aims to directly address these barriers to full utilization of the collective Antarctic radar sounding record by developing a suite of processing and interpretation techniques to enable the synthesis of radar sounding data sets collected with systems that range from incoherent to coherent, single-channel to swath-imaging, and digital to optically-recorded radar sounders. This includes a geostatistical analysis of ice sheet and radar datasets to make probabilistic predictions of conditions at the bed. The approaches will be assessed for two target regions: the Amundsen Sea Embayment and the Siple Coast. All pre- and post-processed sounding data produced by this project will be publically hosted for use by the wider research community. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1753101_1",
+ "title": "CAREER: \"The Omnivore's Dilemma\": The Effect of Autumn Diet on Winter Physiology and Condition of Juvenile Antarctic Krill",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2018-07-11",
+ "end_date": "2023-08-31",
+ "bbox": "-65, -65, -62, -64",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2743860806-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2743860806-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1753101_1",
+ "description": "Antarctic krill are essential in the Southern Ocean as they support vast numbers of marine mammals, seabirds and fishes, some of which feed almost exclusively on krill. Antarctic krill also constitute a target species for industrial fisheries in the Southern Ocean. The success of Antarctic krill populations is largely determined by the ability of their young to survive the long, dark winter, where food is extremely scarce. To survive the long-dark winter, young Antarctic krill must have a high-quality diet in autumn. However, warming in certain parts of Antarctica is changing the dynamics and quality of the polar food web, resulting in a shift in the type of food available to young krill in autumn. It is not yet clear how these dynamic changes are affecting the ability of krill to survive the winter. This project aims to fill an important gap in current knowledge on an understudied stage of the Antarctic krill life cycle, the 1-year old juveniles. The results derived from this work will contribute to the development of improved bioenergetic, population and ecosystem models, and will advance current scientific understanding of this critical Antarctic species. This CAREER projects core education and outreach objectives seek to enhance education and increase diversity within STEM fields. An undergraduate course will be developed that will integrate undergraduate research and writing in way that promotes authentic scientific inquiry and analysis of original research data by the students, and that enhances their communication skills. A graduate course will be developed that will promote students skills in communicating their own research to a non-scientific audience. Graduate students will be supported through the proposed study and will gain valuable research experience. Traditionally underserved undergraduate students will be recruited to conduct independent research under the umbrella of the larger project. Throughout each field season, the research team will maintain a weekly blog that will include short videos, photographs and text highlighting the research, as well as their experiences living and working in Antarctica. The aim of the blog will be to engage the public and increase awareness and understanding of Antarctic ecosystems and the impact of warming, and of the scientific process of research and discovery. In this 5-year CAREER project, the investigator will use a combination of empirical and theoretical techniques to assess the effects of diet on 1-year old krill in autumn-winter. The research is centered on four hypotheses: (H1) autumn diet affects 1-year old krill physiology and condition at the onset of winter; (H2) autumn diet has an effect on winter physiology and condition of 1-year old krill under variable winter food conditions; (H3) the rate of change in physiology and condition of 1-year old krill from autumn to winter is dependent on autumn diet; and (H4) the winter energy budget of 1-year old krill will vary between years and will be dependent on autumn diet. Long-term feeding experiments and in situ sampling will be used to measure changes in the physiology and condition of krill in relation to their diet and feeding environment. Empirically-derived data will be used to develop theoretical models of growth rates and energy budgets to determine how diet will influence the overwinter survival of 1-year old krill. The research will be integrated with an education and outreach plan to (1) develop engaging undergraduate and graduate courses, (2) train and develop young scientists for careers in polar research, and (3) engage the public and increase their awareness and understanding. This award reflects NSFs statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1823135_1",
"title": "Application of Year of Polar Prediction- Southern Hemisphere (YOPP-SH) Observations for Improvement of Antarctic Numerical Weather Prediction",
@@ -151384,6 +133756,45 @@
"description": "This research will take advantage of the greater number of Antarctic weather observations collected as part of the World Meteorological Organization's \"Year of Polar Prediction\". Researchers will use these additional observations to study new ways of incorporating data into existing weather prediction models. The primary goal of this research is to improve the accuracy of weather forecasts in Antarctica. This work is important, as the harsh weather in Antarctica greatly impacts scientific research and the support of this research. Being able to accurately predict changing weather increases the safety and efficiency of Antarctic field science and operations. The proposed effort seeks to advance goals of the World Meteorological Organization's Polar Prediction Project and its Year of Polar Prediction-Southern Hemisphere (YOPP-SH) effort. Researchers will investigate and demonstrate the forecast impact of enhanced atmospheric observations obtained from YOPP-SH's Special Observing Period on polar numerical weather prediction. This will be done by using the Antarctic Mesoscale Prediction System (AMPS). AMPS is the primary numerical weather prediction capability for the United States Antarctic Program (USAP). Modeling experimentation will assess the impact of Special Observing Period data on Antarctic forecasts and will serve as a vehicle for testing new data assimilation approaches for AMPS. The primary goal for this work is improved forecasting and numerical weather prediction tools. Outcomes will include quantification of the value of enhanced southern hemisphere atmospheric observations. This work will also help improve AMPS and its ability to support the USAP. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1844793_1",
+ "title": "Characterization of Antarctic Firn by Multi-Frequency Passive Remote Sensing from Space",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2019-04-15",
+ "end_date": "2023-03-31",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2560369934-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2560369934-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiY2FyZWVyOiB1c2luZyBvdG9saXRoIGNoZW1pc3RyeSB0byByZXZlYWwgdGhlIGxpZmUgaGlzdG9yeSBvZiBhbnRhcmN0aWMgdG9vdGhmaXNoIGluIHRoZSByb3NzIHNlYSwgYW50YXJjdGljYTogdGVzdGluZyBmaXNoZXJpZXMgYW5kIGNsaW1hdGUgY2hhbmdlIGltcGFjdHMgb24gYSB0b3AgZmlzaCBwcmVkYXRvclwiLFwiQU1EX1VTQVBEQ1wiLFwiVVNBUC0yMTQxNTU1XCIsXCIxXCIsMjUzMjA3NTYxNCwzXSIsInVtbSI6IltcImNhcmVlcjogdXNpbmcgb3RvbGl0aCBjaGVtaXN0cnkgdG8gcmV2ZWFsIHRoZSBsaWZlIGhpc3Rvcnkgb2YgYW50YXJjdGljIHRvb3RoZmlzaCBpbiB0aGUgcm9zcyBzZWEsIGFudGFyY3RpY2E6IHRlc3RpbmcgZmlzaGVyaWVzIGFuZCBjbGltYXRlIGNoYW5nZSBpbXBhY3RzIG9uIGEgdG9wIGZpc2ggcHJlZGF0b3JcIixcIkFNRF9VU0FQRENcIixcIlVTQVAtMjE0MTU1NVwiLFwiMVwiLDI1MzIwNzU2MTQsM10ifQ%3D%3D/USAP-1844793_1",
+ "description": "This project will test the hypothesis that physical and thermal properties of Antarctic firn--partially compacted granular snow in an intermediate stage between snow and glacier ice--can be remotely measured from space. Although these properties, such as internal temperature, density, grain size, and layer thickness, are highly relevant to studies of Antarctic climate, ice-sheet dynamics, and mass balance, their measurement currently relies on sparse in-situ surveys under challenging weather conditions. Sensors on polar-orbiting satellites can observe the entire Antarctic every few days during their years-long lifetime. Consequently, the approaches developed in this study, when coupled with the advancing technologies of small and low-cost CubeSats, aim to contribute to Antarctic science and lead to cost-effective, convenient, and accurate long-term analyses of the Antarctic system while reducing the human footprint on the continent. Moreover, the project will be solely based on publicly-available datasets; thus, while contributing to interdisciplinary undergraduate and graduate research and education at the grantee's institution, the project will also encourage engagement of citizen scientists through its website. The overarching goal of this project is to characterize Antarctic firn layers in terms of their thickness, physical temperature, density, and grain size through multi-frequency microwave radiometer measurements from space. Electromagnetic penetration depth changes with frequency in ice; thus, multi-frequency radiometers are able to profile firn layer properties versus depth. To achieve its objective, the project will utilize the Global Precipitation Measurement (GPM) satellite constellation as a single multi-frequency microwave radiometer system with 11 frequency channels observing the Antarctic Ice Sheet. Archived in-situ measurements of Antarctic firn density, grain size, temperature, and layer thickness will be collected and separated into training and test datasets. Microwave emissions simulated using the training data will be compared to GPM constellation measurements to evaluate and improve state-of-the-art forward microwave emission models. Based on these models, the project will develop numerical retrieval algorithms for the thermal and physical properties of Antarctic firn. Results of retrievals will be validated using the test dataset, and uncertainty and error analyses will be conducted. Lastly, changes in the thermal and physical characteristics of Antarctic firn will be examined through long-term retrieval studies exploiting GPM constellation measurements.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1846837_1",
+ "title": "CAREER: Understanding microbial heterotrophic processes in coastal Antarctic waters",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2019-07-01",
+ "end_date": "2024-06-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074920-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532074920-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1846837_1",
+ "description": "The coastal Antarctic is undergoing great environmental change. Physical changes in the environment, such as altered sea ice duration and extent, have a direct impact on the phytoplankton and bacteria species which form the base of the marine foodweb. Photosynthetic phytoplankton are the ocean's primary producers, transforming (fixing) CO2 into organic carbon molecules and providing a source of food for zooplankton and larger predators. When phytoplankton are consumed by zooplankton, or killed by viral attack, they release large amounts of organic carbon and nutrients into the environment. Heterotrophic bacteria must eat other things, and function as \"master recyclers\", consuming these materials and converting them to bacterial biomass which can feed larger organisms such as protists. Some protists are heterotrophs, but others are mixotrophs, able to grow by photosynthesis or heterotrophy. Previous work suggests that by killing and eating bacteria, protists and viruses may regulate bacterial populations, but how these processes are regulated in Antarctic waters is poorly understood. This project will use experiments to determine the rate at which Antarctic protists consume bacteria, and field studies to identify the major bacterial taxa involved in carbon uptake and recycling. In addition, this project will use new sequencing technology to obtain completed genomes for many Antarctic marine bacteria. To place this work in an ecosystem context this project will use microbial diversity data to inform rates associated with key microbial processes within the PALMER ecosystem model. This project addresses critical unknowns regarding the ecological role of heterotrophic marine bacteria in the coastal Antarctic and the top-down controls on bacterial populations. Previous work suggests that at certain times of the year grazing by heterotrophic and mixotrophic protists may meet or exceed bacterial production rates. Similarly, in more temperate waters bacteriophages (viruses) are thought to contribute significantly to bacterial mortality during the spring and summer. These different top-down controls have implications for carbon flow through the marine foodweb, because protists are grazed more efficiently by higher trophic levels than are bacteria. This project uses a combination of grazing experiments and field observations to assess the temporal dynamics of mortality due to temperate bacteriophage and protists. Although many heterotrophic bacterial strains observed in the coastal Antarctic are taxonomically similar to strains from other regions, recent work suggest that they are phylogenetically and genetically distinct. To better understand the ecological function and evolutionary trajectories of key Antarctic marine bacteria, their genomes will be isolated and sequenced. Then, these genomes will be used to improve the predictions of the paprica metabolic inference pipeline, and our understanding of the relationship between heterotrophic bacteria and their major predators in the Antarctic marine environment. Finally, the research team will modify the Regional Test-Bed Model model to enable microbial diversity data to be used to optimize the starting conditions of key parameters, and to constrain the model's data assimilation methods.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1847173_1",
+ "title": "CAREER: Fracture Mechanics of Antarctic Ice Shelves and Glaciers - Representing Iceberg Calving in Ice Sheet Models and Developing Cyberlearning Tools for Outreach",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2019-04-01",
+ "end_date": "2024-03-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2732158831-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2732158831-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1847173_1",
+ "description": "Iceberg calving is a complex natural fracture process and a dominant cause of mass loss from the floating ice shelves on the margins of the Antarctic ice sheet. There is concern that rapid changes at these ice shelves can destabilize parts of the ice sheet and accelerate their contribution to sea-level rise. The goal of this project is to understand and simulate the fracture mechanics of calving and to develop physically-consistent calving schemes for ice-sheet models. This would enable more reliable estimation of Antarctic mass loss by reducing the uncertainty in projections. The research plan is integrated with an education and outreach plan that aims to (1) enhance computational modeling skills of engineering and Earth science students through a cross-college course and a high-performance computing workshop and (2) increase participation and diversity in engineering and sciences by providing interdisciplinary research opportunities to undergraduates and by deploying new cyberlearning tools to engage local K-12 students in the Metro Nashville Public Schools in computational science and engineering, and glaciology. This project aims to provide fundamental understanding of iceberg calving by advancing the frontiers in computational fracture mechanics and nonlinear continuum mechanics and translating it to glaciology. The project investigates crevasse propagation using poro-damage mechanics models for hydrofracture that are consistent with nonlinear viscous ice rheology, along with the thermodynamics of refreezing in narrow crevasses at meter length scales. It will develop a fracture-physics based scheme to better represent calving in ice-sheet models using a multiscale method. The effort will also address research questions related to calving behavior of floating ice shelves and glaciers, with the goal of enabling more reliable prediction of calving fronts in whole-Antarctic ice-sheet simulations over decadal-to-millennial time scales. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1848887_1",
"title": "Assemblage-wide effects of ocean acidification and ocean warming on ecologically important macroalgal-associated crustaceans in Antarctica",
@@ -151436,6 +133847,32 @@
"description": "Microbial communities are of more than just a scientific curiosity. Microbes represent the single largest source of evolutionary and biochemical diversity on the planet. They are the major agents for cycling carbon, nitrogen, phosphorus, and other elements through the ecosystem. Despite their importance in ecosystem function, microbes are still generally overlooked in food web models and nutrient cycles. Moreover, microbes do not live in isolation: their growth and metabolism are influenced by complex interactions with other microorganisms. This project will focus on the ecology, activity and roles of microbial communities in Antarctic Lake ecosystems. The team will characterize the genetic underpinnings of microbial interactions and the influence of environmental gradients (e.g. light, nutrients, oxygen, sulfur) and seasons (e.g. summer vs. winter) on microbial networks in Lake Fryxell and Lake Bonney in the Taylor Valley within the McMurdo Dry Valley region. Finally, the project furthers the NSF goals of training new generations of scientists by including undergraduate and graduate students, a postdoctoral researcher and a middle school teacher in both lab and field research activities. This partnership will involve a number of other outreach training activities, including visits to classrooms and community events, participation in social media platforms, and webinars. Part II: Technical description: Ecosystem function in the extreme Antarctic Dry Valleys ecosystem is dependent on complex biogeochemical interactions between physiochemical environmental factors (e.g. light, nutrients, oxygen, sulfur), time of year (e.g. summer vs. winter) and microbes. Microbial network complexity can vary in relation to specific abiotic factors, which has important implications on the fragility and resilience of ecosystems under threat of environmental change. This project will evaluate the influence of biogeochemical factors on microbial interactions and network complexity in two Antarctic ice-covered lakes. The study will be structured by three main objectives: 1) infer positive and negative interactions from rich spatial and temporal datasets and investigate the influence of biogeochemical gradients on microbial network complexity using a variety of molecular approaches; 2) directly observe interactions among microbial eukaryotes and their partners using flow cytometry, single-cell sorting and microscopy; and 3) develop metabolic models of specific interactions using metagenomics. Outcomes from amplicon sequencing, meta-omics, and single-cell genomic approaches will be integrated to map specific microbial network complexity and define the role of interactions and metabolic activity onto trends in limnological biogeochemistry in different seasons. These studies will be essential to determine the relationship between network complexity and future climate conditions. Undergraduate researchers will be recruited from both an REU program with a track record of attracting underrepresented minorities and two minority-serving institutions. To further increase polar literacy training and educational impacts, the field team will include a teacher as part of a collaboration with the successful NSF-funded PolarTREC program and participation in activities designed for public outreach. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. ",
"license": "proprietary"
},
+ {
+ "id": "USAP-1943550_1",
+ "title": "CAREER: Foraging Ecology and Physiology of Emperor Penguins in the Ross Sea",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2020-08-01",
+ "end_date": "2025-07-31",
+ "bbox": "168, -78, 171, -77",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2692706402-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2692706402-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1943550_1",
+ "description": "This project will identify behavioral and physiological variability in foraging Emperor Penguins that can be directly linked to individual success in the marine environment using an optimal foraging theory framework during two critical life history stages. First, this project will investigate the foraging energetics, ecology, and habitat use of Emperor Penguins at Cape Crozier using fine-scale movement and video data loggers during late chick-rearing, an energetically demanding life history phase. Specifically, this study will 1) Estimate the foraging efficiency and examine its relationship to foraging behavior and diet using an optimal foraging theory framework to identify what environmental or physiological constraints influence foraging behavior; 2) Investigate the inter- and intra-individual behavioral variability exhibited by emperor penguins, which is essential to predict how resilient they will be to climate change; and 3) Integrate penguin foraging efficiency data with environmental data to identify important habitat. Next the researchers will study the ecology and habitat preference after the molt and through early reproduction using satellite-linked data loggers. The researchers will: 1) Investigate the inter- and intra-individual behavioral variability exhibited by Emperor Penguins during the three-month post-molt and early winter foraging trips; and 2) Integrate penguin behavioral data with environmental data to identify which environmental features are indicative of habitat preference when penguins are not constrained to returning to the colony to feed a chick. These fine- and coarse-scale data will be combined with climate predictions to create predictive habitat models. The education objectives of this CAREER project are designed to inspire, engage, and train the next generation of scientists using the data and video generated while investigating Emperor Penguins in the Antarctic ecosystem. This includes development of two courses (general education and advanced techniques), training of undergraduate and graduate students, and a collaboration with the NSF funded \u201cPolar Literacy: A model for youth engagement and learning\u201d program to develop afterschool and camp curriculum that target underserved and underrepresented groups. ",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-1945127_1",
+ "title": "CAREER: The Transformation, Cross-shore Export, and along-shore Transport of Freshwater on Antarctic Shelves",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2020-06-01",
+ "end_date": "2025-05-31",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075621-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075621-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-1945127_1",
+ "description": "Freshwater discharges from melting high-latitude continental ice glacial reserves strongly control salt budgets, circulation and associated ocean water mass formation arising from polar ice shelves. These are different in nature than freshwater inputs associated with riverine coastal inputs. The PI proposes an observational deployment to measure a specific, previously-identified example of a coastal freshwater-driven current, the Antarctic Peninsula Coastal Current (APCC). The research component of this CAREER project aims to improve understanding of the dynamics of freshwater discharge around the Antarctic continent. Associated research questions pertain to the i) controls on the cross- and along-shelf spreading of fresh, buoyant coastal currents, ii) the role of distributed coastal freshwater sources (as opposed to 'point' source river outflow sources typical of lower latitudes), and iii) the contribution of these coastal currents to water mass transformation and heat transfer on the continental shelf. An educational CAREER program component leverages a series of field experiences and research outputs including data, model outputs, and theory, to bring polar science to the classroom and the general public, as well as training a new polar scientist. This combined strategy will allow the investigator to lay the foundation for a successful academic career as a researcher and teacher at the University of Delaware. The project will also provide the opportunity to train a PhD student. Informal outreach efforts will include giving public lectures at University of Deleware's sponsored events, including Coast Day, a summer event that attracts 8000-10000 people, and remote lectures from the field using an existing outreach network. This proposal requires fieldwork in the Antarctic. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1947094_1",
"title": "A non-amniote perspective on the recovery from the end-Permian extinction at high latitudes: paleobiology of Early Triassic temnospondyls from Antarctica",
@@ -151462,6 +133899,19 @@
"description": "Responses of the carbon balance of terrestrial ecosystems to warming will feed back to the pace of climate change, but the size and direction of this feedback are poorly constrained. Least known are the effects of warming on carbon losses from soil, and clarifying the major microbial controls is an important research frontier. This study uses a series of experiments and observations to investigate microbial, including autotrophic taxa, and plant controls of net ecosystem productivity in response to warming in intact ecosystems. Field warming is achieved using open-top chambers paired with control plots, arrayed along a productivity gradient. Along this gradient incoming and outgoing carbon fluxes will be measured at the ecosystem-level. The goal is to tie warming-induced shifts in net ecosystem carbon balance to warming effects on soil microbes and plants. The field study will be supplemented with lab temperature incubations. Because soil microbes dominate biogeochemical cycles in Antarctica, a major focus of this study is to determine warming responses of bacteria, fungi and archaea. This is achieved using a cutting-edge stable isotope technique, quantitative stable isotope probing (qSIP) developed by the proposing research team, that can identify the taxa that are active and involved in processing new carbon. This technique can identify individual microbial taxa that are actively participating in biogeochemical cycling of nutrients (through combined use of 18O-water and 13C-bicarbonate) and thus can be distinguished from those that are simply present (cold-preserved). The study further assesses photosynthetic uptake of carbon by the vegetation and their sensitivity to warming. Results will advance research in climate change, plant and soil microbial ecology, and ecosystem modeling.",
"license": "proprietary"
},
+ {
+ "id": "USAP-1947646_1",
+ "title": "Collaborative Proposal: Miocene Climate Extremes: A Ross Sea Perspective from IODP Expedition 374 and DSDP Leg 28 Marine Sediments",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2020-05-01",
+ "end_date": "2023-04-30",
+ "bbox": "164, -79, -156, -72.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075622-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075622-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-1947646_1",
+ "description": "Presently, Antarctica's glaciers are melting as Earth's atmosphere and the Southern Ocean warm. Not much is known about how Antarctica's ice sheets might respond to ongoing and future warming, but such knowledge is important because Antarctica's ice sheets might raise global sea levels significantly with continued melting. Over time, mud accumulates on the sea floor around Antarctica that is composed of the skeletons and debris of microscopic marine organisms and sediment from the adjacent continent. As this mud is deposited, it creates a record of past environmental and ecological changes, including ocean depth, glacier advance and retreat, ocean temperature, ocean circulation, marine ecosystems, ocean chemistry, and continental weathering. Scientists interested in understanding how Antarctica's glaciers and ice sheets might respond to ongoing warming can use a variety of physical, biological, and chemical analyses of these mud archives to determine how long ago the mud was deposited and how the ice sheets, oceans, and marine ecosystems responded during intervals in the past when Earth's climate was warmer. In this project, researchers from the University of South Florida, University of Massachusetts, and Northern Illinois University will reconstruct the depth, ocean temperature, weathering and nutrient input, and marine ecosystems in the central Ross Sea from ~17 to 13 million years ago, when the warm Miocene Climate Optimum transitioned to a cooler interval with more extensive ice sheets. Record will be generated from new sediments recovered during the International Ocean Discovery Program (IODP) Expedition 374 and legacy sequences recovered in the 1970s during the Deep Sea Drilling Program. Results will be integrated into ice sheet and climate models to improve the accuracy of predictions.",
+ "license": "proprietary"
+ },
{
"id": "USAP-1951603_1",
"title": "Antarctic Meteorological Research and Data Center",
@@ -151488,6 +133938,71 @@
"description": "The frequency and severity of hypoxic events are increasing in marine and freshwater environments worldwide with climate warming, threatening the health of aquatic ecosystems and the viability of fish populations. The Southern Ocean surrounding Antarctica has historically been a stable, icy-cold, and oxygen-rich environment, but is now warming at an unprecedented rate and faster than all other regions in the Southern hemisphere. Evolution at sub-zero temperatures has equipped Antarctic fishes with traits allowing them to thrive in frigid waters, but has diminished their resilience to warming. Presently little is known about the ability of Antarctic fishes to withstand hypoxic conditions that often accompany warming. This research will investigate the hypoxia tolerance of four species of Antarctic fishes, including two species of icefishes that lack the oxygen-carrying protein, hemoglobin, which may compromise their ability to oxygenate tissues under hypoxic conditions. The hypoxia tolerance of Antarctic fish species will be compared to that of a related fish species inhabiting coastal regions of South America. Physiological and biochemical responses to hypoxia will be evaluated and compared amongst the five species to bolster our predictions of the capacity of Antarctic fishes to cope with a changing environment. This research will provide training opportunities for undergraduate and graduate students, and a postdoctoral research fellow. A year-long seminar series hosted by the Aquarium of the Pacific will feature female scientists who work in Antarctica to inspire youth in the greater Los Angeles area to pursue careers in science.",
"license": "proprietary"
},
+ {
+ "id": "USAP-2019719_1",
+ "title": "Center for Oldest Ice Exploration",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2021-10-01",
+ "end_date": "2026-09-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2639455104-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2639455104-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-2019719_1",
+ "description": "Cores drilled through the Antarctic ice sheet provide a remarkable window on the evolution of Earth\u2019s climate and unique samples of the ancient atmosphere. The clear link between greenhouse gases and climate revealed by ice cores underpins much of the scientific understanding of climate change. Unfortunately, the existing data do not extend far enough back in time to reveal key features of climates warmer than today. COLDEX, the Center for Oldest Ice Exploration, will solve this problem by exploring Antarctica for sites to collect the oldest possible record of past climate recorded in the ice sheet. COLDEX will provide critical information for understanding how Earth\u2019s near-future climate may evolve and why climate varies over geologic time. New technologies will be developed for exploration and analysis that will have a long legacy for future research. An archive of old ice will stimulate new research for the next generations of polar scientists. COLDEX programs will galvanize that next generation of polar researchers, bring new results to other scientific disciplines and the public, and help to create a more inclusive and diverse scientific community. Knowledge of Earth\u2019s climate history is grounded in the geologic record. This knowledge is gained by measuring chemical, biological and physical properties of geologic materials that reflect elements of climate. Ice cores retrieved from polar ice sheets play a central role in this science and provide the best evidence for a strong link between atmospheric carbon dioxide and climate on geologic timescales. The goal of COLDEX is to extend the ice-core record of past climate to at least 1.5 million years by drilling and analyzing a continuous ice core in East Antarctica, and to much older times using discontinuous ice sections at the base and margin of the ice sheet. COLDEX will develop and deploy novel radar and melt-probe tools to rapidly explore the ice, use ice-sheet models to constrain where old ice is preserved, conduct ice coring, develop new analytical systems, and produce novel paleoclimate records from locations across East Antarctica. The search for Earth\u2019s oldest ice also provides a compelling narrative for disseminating information about past and future climate change and polar science to students, teachers, the media, policy makers and the public. COLDEX will engage and incorporate these groups through targeted professional development workshops, undergraduate research experiences, a comprehensive communication program, annual scientific meetings, scholarships, and broad collaboration nationally and internationally. COLDEX will provide a focal point for efforts to increase diversity in polar science by providing field, laboratory, mentoring and networking experiences for students and early career scientists from groups underrepresented in STEM, and by continuous engagement of the entire COLDEX community in developing a more inclusive scientific culture.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-2032463_1",
+ "title": "Collaborative Research: Laser Cutting Technology for Borehole Sampling",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2020-09-10",
+ "end_date": "2022-09-09",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2837691710-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2837691710-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-2032463_1",
+ "description": "Overview It is proposed that laser cutting technology can be used to rapidly extract high quality ice samples from borehole walls. The technology applies to both existing boreholes and newly drilled ones, even enabling scientists to obtain samples using non\u2010coring mechanical drills. Since the instrumentation is highly portable, a field team of three persons might take no longer than a few days in the field to extract ice, and samples from a critical time period could be extracted from multiple locations in a single field season. This pilot program will investigate and validate the technology of laser sampling. It is beneficial to use fiber optics to convey light in borehole instrumentation rather than attempting to package a complete laser system for travel down a borehole, so the cutting laser and wavelength (1.07Pm) are chosen with such engineering in mind. The primary scientific goals of the program are to: 1) determine optimum cutting conditions in terms of laser power and operating conditions, 2) quantifying the effects of residual meltwater that remain in the cut slot after a cut so that re-cutting needs can be predicted or mitigated, 3) designing and testing mechanical structures to retract samples from blocks of ice once cut, and 4) analyzing the composition and crystal structure of ice near a cut slot to determine the impacted volume (if any) of ice and temperatures where scientific readings might be affected by the sampling process. Intellectual Merits The collection of deep ice from the Polar Ice Sheets involves large amounts of time, effort, and expense. Often, the most important information is held in very small volumes of core, and while replicate coring can supplement this core, there is often a need to retrieve additional ice samples based on recent scientific findings or borehole logging at a site. In addition, there is currently no easy method of extracting ice from boreholes drilled by non\u2010coring mechanical drills, which are often much faster, lighter, and less expensive to operate. There are numerous specific projects that could immediately benefit from laser sampling including sampling ice overlaying buried impact craters and bolides, filling critical gaps in the chemical record in damaged core sections from Siple Dome, obtaining oldest ice cores from brittle sections near the surface of the Allan Hills blue ice area, where coring drills apply stresses that may fracture the ice, and replacing core whose value has degraded due to time and depressurization. This program builds on a prior engineering advances in optical fiber\u2010based logging technology, developed previously for Siple Dome borehole logging. Broader Impact Laser sampling would advance numerous fields interfaced with glaciology and ice core studies. These include climate and paleoenvironmental science, volcanology, and human history where large volumes of ice are crucial to extract ultra\u2010high resolution records of natural and anthropogenic emissions. Potentially the principle of laser sampling could be used to directly sample and study ice on other planets or their satellites. This program encompasses a broad base of theoretical, experimental, and design work, which makes it ideal for training postdoctoral scientists, graduate students, and advanced undergraduates. The program will include a research opportunity for one or more middle school teachers through a Research Experience for Teachers program with one of the local school districts of the Twin Cities area. The teacher(s) will assist the investigators in the analysis of scattered laser light in glacier ice, and will set up a small experiment at various visible wavelengths to measure scattering constants. These experiments have been chosen because they can easily translate into classroom demonstrations and hands\u2010on activities using eye-safe visible- light LED sources and large samples of artificial ice. The teacher(s) will also produce a lesson plan on basic optics, glacial ice, or polar science as a deliverable. This proposal does not involve field work.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-2046240_1",
+ "title": "CAREER: Coastal Antarctic Snow Algae and Light Absorbing Particles: Snowmelt, Climate and Ecosystem Impacts",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2022-01-01",
+ "end_date": "2026-12-31",
+ "bbox": "-75, -70.5, -60, -62",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075164-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075164-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-2046240_1",
+ "description": "Rapid and persistent climate warming in the Western Antarctic Peninsula is likely resulting in intensified snow-algae growth and an extended bloom season in coastal areas. Similarly, deposition of light absorbing particles (LAPs) onto Antarctica cryosphere surfaces, such as black carbon from intensifying Southern Hemisphere wildfire seasons, and dust from the expansion of ice-free regions in the Antarctic Peninsula, may be increasing. The presence of snow algae blooms and LAPs enhance the absorption of solar radiation by snow and ice surfaces. This positive feedback creates a measurable radiative forcing, which can have immediate local and long-term regional impacts on albedo, snow melt and downstream ecosystems. This project will investigate the spatial and temporal distribution of snow algae, black carbon and dust across the Western Antarctica Peninsula region, their response to climate warming, and their role in regional snow and ice melt. Data will be collected across multiple spatial scales from in situ field measurements and sample collection to imagery from ground-based photos and high resolution multi-spectral satellite sensors. Ground measurements will inform development and application of novel algorithms to map algal bloom extent through time using 0.5-3m spatial resolution multi-spectral satellite imagery. Results will be used to improve snow algae parameterization in a new version of the Snow Ice Aerosol Radiation model (SNICARv3) that includes bio-albedo feedbacks, eventually informing models of ice-free area expansion through incorporation of SNICARv3 in the Community Earth System Model. Citizen scientists will be mentored and engaged in the research through an active partnership with the International Association of Antarctic Tour Operators that frequently visits the region. The cruise ship association will facilitate sampling to develop a unique snow algae observing network to validate remote sensing algorithms that map snow algae with high-resolution multi-spectral satellite imagery from space. These time-series will inform instantaneous and interannual radiative forcing calculations to assess impacts of snow algae and LAPs on regional snow melt. Quantifying the spatio-temporal growing season of snow algae and impacts from black carbon and dust will increase our ability to model their impact on snow melt, regional climate warming and ice-free expansion in the Antarctic Peninsula region.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-2046437_1",
+ "title": "CAREER: Development of Unmanned Ground Vehicles for Assessing the Health of Secluded Ecosystems (ECHO)",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2021-09-01",
+ "end_date": "2026-08-31",
+ "bbox": "-60, -80, 10, -55",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075144-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075144-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-2046437_1",
+ "description": "Polar ecosystems currently experience significant impacts due to global changes. Measurable negative effects on polar wildlife have already occurred, such as population decreases of numerous seabird species, including the complete loss of colonies of one of the most emblematic species of the Antarctic, the emperor penguin. These existing impacts on polar species are alarming, especially because many polar species still remain poorly studied due to technical and logistical challenges imposed by the harsh environment and extreme remoteness. Developing technologies and tools for monitoring such wildlife populations is, therefore, a matter of urgency. This project aims to help close major knowledge gaps about the emperor penguin, in particular about their adaptive capability to a changing environment, by the development of next-generation tools to remotely study entire colonies. Specifically, the main goal of this project is to implement and test an autonomous unmanned ground vehicle equipped with Radio-frequency identification (RFID) antennas and wireless mesh communication data-loggers to: 1) identify RFID-tagged emperor penguins during breeding to studying population dynamics without human presence; and 2) receive GPS-TDR datasets from VHF-GPS-TDR data-loggers without human presence to study animal behavior and distribution at sea. The autonomous vehicles navigation through the colony will be aided by an existing remote penguin observatory (SPOT). Properly implemented, this technology can be used to study of the life history of individual penguins, and therefore gather data for behavioral and population dynamic studies. The education objectives of this CAREER project are designed to increase the interest in a STEM education for the next generation of scientists by combining the charisma of the emperor penguin with robotics research. Within this project, a new class on ecosystem robotics will be developed and taught, Robotics boot-camps will allow undergraduate students to remotely participate in Antarctic field trips, and an annual curriculum will be developed that allows K-12 students to follow the life of the emperor penguin during the breeding cycle, powered by real-time data obtained using the unmanned ground vehicle as well as the existing emperor penguin observatory. ",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-2046800_1",
+ "title": "CAREER: Ecosystem Impacts of Microbial Succession and Production at Antarctic Methane Seeps",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2022-01-01",
+ "end_date": "2026-12-31",
+ "bbox": "162, -78, 168, -77",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075149-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075149-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-2046800_1",
+ "description": "Due to persistent cold temperatures, geographical isolation, and resulting evolutionary distinctness of Southern Ocean fauna, the study of Antarctic reducing habitats has the potential to fundamentally alter our understanding of the biologic processes that inhibit greenhouse gas emissions from our oceans. Marine methane, a greenhouse gas 25x as potent as carbon dioxide for warming our atmosphere, is currently a minor component of atmospheric forcing due to the microbial oxidation of methane within the oceans. Based on studies of persistent deep-sea seeps at mid- and northern latitudes we have learned that bacteria and archaea create a \u2018sediment filter\u2019 that oxidizes methane prior to its release. As increasing global temperatures have and will continue to alter the rate and variance of methane release, the ability of the microbial filter to respond to fluctuations in methane cycles is a critical yet unexplored avenue of research. Antarctica contains vast reservoirs of methane, equivalent to all of the permafrost in the Arctic, and yet we know almost nothing about the fauna that may mitigate its release, as until recently, we had not discovered an active methane seep. In 2012, a methane seep was discovered in the Ross Sea, Antarctica that formed in 2011 providing the first opportunity to study an active Antarctic methane-fueled habitat and simultaneously the impact of microbial succession on the oxidation of methane, a critical ecosystem service. Previous work has shown that after 5 years of seepage, the community was at an early stage of succession and unable to mitigate the release of methane from the seafloor. In addition, additional areas of seepage had begun nearby. This research aims to quantify the community trajectory of these seeps in relation to their role in the Antarctic Ecosystem, from greenhouse gas mitigation through supporting the food web. Through the application of genomic and transcriptomic approaches, taxa involved in methane cycling and genes activated by the addition of methane will be identified and contrasted with those from other geographical locations. These comparisons will elucidate how taxa have evolved and adapted to the polar environment. This research uses a \u2018genome to ecosystem\u2019 approach to advance our understanding of organismal and systems ecology in Antarctica. By quantifying the trajectory of community succession following the onset of methane emission, the research will decipher temporal shifts in biodiversity/ecosystem function relationships. Phylogenomic approaches focusing on taxa involved in methane cycling will advance the burgeoning field of microbial biogeography on a continent where earth\u2019s history may have had a profound yet unquantified impact on microbial evolution. Further, the research will empirically quantify the role of chemosynthesis as a form of export production from seeps and in non-seep habitats in the nearshore Ross Sea benthos, informing our understanding of Antarctic carbon cycling. ",
+ "license": "proprietary"
+ },
{
"id": "USAP-2055455_1",
"title": "ANT LIA - Viral Ecogenomics of the Southern Ocean: Unifying Omics and Ecological Networks to Advance our Understanding of Antarctic Microbial Ecosystem Function",
@@ -151527,6 +134042,45 @@
"description": "Nematode worms are abundant and ubiquitous in marine sediment habitats worldwide, performing key functions such as nutrient cycling and sediment stability. However, study of this phylum suffers from a perpetual and severe taxonomic deficit, with less than 5,000 formally described marine species. Fauna from the Southern Ocean are especially poorly studied due to limited sampling and the general inaccessibility of the Antarctic benthos. This study is providing the first large-scale molecular-based investigation from marine nematodes in the Eastern Antarctic continental shelf, providing an important comparative dataset for the existing body of historical (morphological) taxonomic studies. This project uses a combination of classical taxonomy (microscopy) and modern -omics tools to achieve three overarching aims: 1) determine if molecular data supports high biodiversity and endemism of benthic meiofauna in Antarctic benthic ecosystems; 2) determine the proportion of marine nematode species that have a deep-sea versus shallow-water evolutionary origin on the Antarctic shelf, and assess patterns of cryptic speciation in the Southern Ocean; and 3) determine the most important drivers of the host-associated microbiome in Antarctic marine nematodes. This project is designed to rapidly advance knowledge of the evolutionary origins of Antarctic meiofauna, provide insight on population-level patterns within key indicator genera, and elucidate the potential ecological and environmental factors which may influence microbiome patterns. Broader Impacts activities include an intensive cruise- and land-based outreach program focusing on social media engagement and digital outreach products, raising awareness of Antarctic marine ecosystems and understudied microbial-animal relationships. The diverse research team includes female scientists, first-generation college students, and Latinx trainees. ",
"license": "proprietary"
},
+ {
+ "id": "USAP-2133684_1",
+ "title": "Collaborative Research: ANT LIA Integrating Genomic and Phenotypic Analyses to understand Microbial Life in Antarctic Soils",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2022-04-01",
+ "end_date": "2025-03-31",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2660035273-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2660035273-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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-2133684_1",
+ "description": "Not all of Antarctica is covered in ice. In fact, soils are common to many parts of Antarctica, and these soils are often unlike any others found on Earth. Antarctic soils harbor unique microorganisms able to cope with the extremely cold and dry conditions common to much of the continent. For decades, microbiologists have been drawn to the unique soils in Antarctica, yet critical knowledge gaps remain. Most notably, it is unclear what properties allow certain microbes to thrive in Antarctic soils. By using a range of methods, this project is developing comprehensive model that discovers the unique genomic features of soils diversity, distributions, and adaptations that allow Antarctic soil microbes to thrive in extreme environments. The proposed work will be relevant to researchers in many fields, including engineers seeking to develop new biotechnologies, ecologists studying the contributions of these microbial communities to the functioning of Antarctic ecosystems, microbiologists studying novel microbial adaptations to extreme environmental conditions, and even astrobiologists studying the potential for life on Mars. More generally, the proposed research presents an opportunity to advance our current understanding of the microbial life found in one of the more distinctive microbial habitats on Earth, a habitat that is inaccessible to many scientists and a habitat that is increasingly under threat from climate change. The research project explores the microbial diversity in Antarctic soils and links specific features to different soil types and environmental conditions. The overarching questions include: What microbial taxa are found in a variety of Antarctic environments? What are the environmental preferences of specific taxa or lineages? What are the genomic and phenotypic traits of microorganisms that allow them to persist in extreme environments and determine biogeographical differneces? This project will analyze archived soils collected from across Antarctica by a network of international collaborators, with samples selected to span broad gradients in soil and site conditions. The project uses cultivation-independent, high-throughput genomic analysis methods and cultivation-dependent approaches to analyze bacterial and fungal communities in soil samples. The results will be used to predict the distributions of specific taxa and lineages, obtain genomic information for the more ubiquitous and abundant taxa, and quantify growth responses in vitro across gradients in temperature, moisture, and salinity. This integration of ecological, environmental, genomic, and trait-based information will provide a comprehensive understanding of microbial life in Antarctic soils. This project will also help facilitate new collaborations between scientists across the globe while providing undergraduate students with ''hands-on'' research experiences that introduce the next generation of scientists to the field of Antarctic biology. This award reflects NSF''s statutory mission and has been deemed worthy of support through evaluation using the Foundation''s intellectual merit and broader impacts review criteria.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-2141555_1",
+ "title": "CAREER: Using Otolith Chemistry to Reveal the Life History of Antarctic Toothfish in the Ross Sea, Antarctica: Testing Fisheries and Climate Change Impacts on a Top Fish Predator",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2022-05-01",
+ "end_date": "2027-04-30",
+ "bbox": "161, -79, -151, -71.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075614-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532075614-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-2141555_1",
+ "description": "The Ross Sea, Antarctica, is one of the last large intact marine ecosystems left in the world, yet is facing increasing pressure from commercial fisheries and environmental change. It is the most productive stretch of the Southern Ocean, supporting an array of marine life, including Antarctic toothfish the regions top fish predator. While a commercial fishery for toothfish continues to grow in the Ross Sea, fundamental knowledge gaps remain regarding toothfish ecology and the impacts of toothfish fishing on the broader Ross Sea ecosystem. Recognizing the global value of the Ross Sea, a large (>2 million km2) marine protected area was adopted by the multi-national Commission for the Conservation of Antarctic Marine Living Resources in 2016. This research will fill a critical gap in the knowledge of Antarctic toothfish and deepen understanding of biological-physical interactions for fish ecology, while contributing to knowledge of impacts of fishing and environmental change on the Ross Sea system. This work will further provide innovative tools for studying connectivity among geographically distinct fish populations and for synthesizing and assessing the efficacy of a large-scale marine protected area. In developing an integrated research and education program in engaged scholarship, this project seeks to train the next generation of scholars to engage across the science-policy-public interface, engage with Southern Ocean stakeholders throughout the research process, and to deepen the publics appreciation of the Antarctic. A major research priority among Ross Sea scientists is to better understand the life history of the Antarctic toothfish and test the efficacy of the Ross Sea Marine Protected Area (MPA) in protecting against the impacts of overfishing and climate change. Like growth rings of a tree, fish ear bones, called otoliths, develop annual layers of calcium carbonate that incorporates elements from their environment. Otoliths offer information on the fishs growth and the surrounding ocean conditions. Hypothesizing that much of the Antarctic toothfish life cycle is structured by ocean circulation, this research employs a multi-disciplinary approach combining age and growth work with otolith chemistry testing, while also utilizing GIS mapping. The project will measure life history parameters as well as trace elements and stable isotopes in otoliths in three distinct sets collected over the last four decades in the Ross Sea. The information will be used to quantify the transport pathways Antarctic toothfish use across their life history, and across time, in the Ross Sea. The project will assess if toothfish populations from the Ross Sea are connected more widely across the Antarctic. By comparing life history and otolith chemistry data across time, the researchers will assess change in life history parameters and spatial dynamics and seek to infer if these changes are driven by fishing or climate change. Spatially mapping of these data will allow an assessment of the efficacy of the Ross Sea MPA in protecting toothfish and where further protections might be needed. This award reflects NSF''s statutory mission and has been deemed worthy of support through evaluation using the Foundation''s intellectual merit and broader impacts review criteria.",
+ "license": "proprietary"
+ },
+ {
+ "id": "USAP-2142491_1",
+ "title": "CAREER: Experimentally Testing the Role of Sympagic Algae in Sea-ice Environments using a Laboratory Scale Ice-tank.",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "2022-07-15",
+ "end_date": "2027-06-30",
+ "bbox": "-180, -90, 180, -60",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2739658250-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2739658250-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=eyJqc29uIjoiW1wiYnViYmxlIG51bWJlci1kZW5zaXR5IGRhdGEgYW5kIG1vZGVsZWQgcGFsZW9jbGltYXRlc1wiLFwiQU1EX1VTQVBEQ1wiLFwiTlNJREMtMDUzOFwiLFwiMVwiLDI1MzIwNzA3MTYsMl0iLCJ1bW0iOiJbXCJidWJibGUgbnVtYmVyLWRlbnNpdHkgZGF0YSBhbmQgbW9kZWxlZCBwYWxlb2NsaW1hdGVzXCIsXCJBTURfVVNBUERDXCIsXCJOU0lEQy0wNTM4XCIsXCIxXCIsMjUzMjA3MDcxNiwyXSJ9/USAP-2142491_1",
+ "description": "The aims of this CAREER proposal are to gain a greater understanding of the role of sympagic algae in Antarctic marine ecosystems with the goal to better parameterize their role in biogeochemical and ecosystem processes across dynamic environments. Specifically, this proposal will apply a laboratory-scale, ice-tank system that recreates the seasonal cycle of sea ice in the laboratory for the purpose of studying sympagic microbes to study the following questions: 1.1 \tStarting with a late autumn, mixed phytoplankton community, how do different algal species specialize to sea ice, seawater and flooded snow/ice habitats over winter? 1.2 \tWhat are the relationships between different methods of measuring primary production (fluorescence, O2 production, CO2 drawdown) in sea ice? Does this differ from seawater? 1.3 \tDoes the presence of sea-ice algae influence the physical structure of sea ice? 1.4\tHow does the release of compatible solutes from algae during ice melt influence the dissolved organic pool? In addition, I propose to integrate educational activities with my research goals. This includes development of an educational program at the university and K-12 level on Antarctic Sciences that develops critical thinking and quantitative skills, encourages STEM participation from underrepresented groups and establishes an interactive network of Antarctic researchers to broaden research opportunities. ",
+ "license": "proprietary"
+ },
{
"id": "USAP-2149070_1",
"title": "ANT LIA: Collaborative Research: Adaptations of Southern Ocean Diatoms to Manganese Scarcity: Can Physiological Ingenuity Overcome Unfavorable Chemistry?",
@@ -151579,6 +134133,19 @@
"description": "This award supports a collaborative project that combines air and ground geological-geophysical investigations to understand the tectonic and geological development of the boundary between the Ross Sea Rift and the Marie Byrd Land (MBL) volcanic province. The project will determine the Cenozoic tectonic history of the region and whether Neogene structures that localized outlet glacier flow developed within the context of Cenozoic rifting on the eastern Ross Embayment margin, or within the volcanic province in MBL. The geological structure at the boundary between the Ross Embayment and western MBL may be a result of: 1) Cenozoic extension on the eastern shoulder of the Ross Sea rift; 2) uplift and crustal extension related to Neogene mantle plume activity in western MBL; or a combination of the two. Faulting and volcanism, mountain uplift, and glacier downcutting appear to now be active in western MBL, where generally East-to-West-flowing outlet glaciers incise Paleozoic and Mesozoic bedrock, and deglaciated summits indicate a previous North-South glacial flow direction. This study requires data collection using SOAR (Support Office for Aerogeophysical Research, a facility supported by Office of Polar Programs which utilizes high precision differential GPS to support a laser altimeter, ice-penetrating radar, a towed proton magnetometer, and a Bell BGM-3 gravimeter). This survey requires data for 37,000 square kilometers using 5.3 kilometer line spacing with 15.6 kilometer tie lines, and 86,000 square kilometers using a grid of 10.6 by 10.6 kilometer spacing. Data will be acquired over several key features in the region including, among other, the eastern edge of the Ross Sea rift, over ice stream OEO, the transition from the Edward VII Peninsula plateau to the Ford Ranges, the continuation to the east of a gravity high known from previous reconnaissance mapping over the Fosdick Metamorphic Complex, an d the extent of the high-amplitude magnetic anomalies (volcanic centers?) detected southeast of the northern Ford Ranges by other investigators. SOAR products will include glaciology data useful for studying driving stresses, glacial flow and mass balance in the West Antarctic Ice Sheet (WAIS). The ground program is centered on the southern Ford Ranges. Geologic field mapping will focus on small scale brittle structures for regional kinematic interpretation, on glaciated surfaces and deposits, and on datable volcanic rocks for geochronologic control. The relative significance of fault and joint sets, the timing relationships between them, and the probable context of their formation will also be determined. Exposure ages will be determined for erosion surfaces and moraines. Interpretation of potential field data will be aided by on ground sampling for magnetic properties and density as well as ground based gravity measurements. Oriented samples will be taken for paleomagnetic studies. Combined airborne and ground investigations will obtain basic data for describing the geology and structure at the eastern boundary of the Ross Embayment both in outcrop and ice covered areas, and may be used to distinguish between Ross Sea rift- related structural activity from uplift and faulting on the perimeter of the MBL dome and volcanic province. Outcrop geology and structure will be extrapolated with the aerogeophysical data to infer the geology that resides beneath the WAIS. The new knowledge of Neogene tectonics in western MBL will contribute to a comprehensive model for the Cenozoic Ross rift and to understanding of the extent of plume activity in MBL. Both are important for determining the influence of Neogene tectonics on the ice streams and WAIS.",
"license": "proprietary"
},
+ {
+ "id": "USAP-9725024_1",
+ "title": "Circumpolar Deep Water and the West Antarctic Ice Sheet",
+ "catalog": "AMD_USAPDC STAC Catalog",
+ "state_date": "1988-03-01",
+ "end_date": "2002-02-28",
+ "bbox": "140, -68, 150, -65",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072042-AMD_USAPDC.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2532072042-AMD_USAPDC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/AMD_USAPDC/collections?cursor=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%3D%3D/USAP-9725024_1",
+ "description": "This project will study the dynamics of Circumpolar Deep Water intruding on the continental shelf of the West Antarctic coast, and the effect of this intrusion on the production of cold, dense bottom water, and melting at the base of floating glaciers and ice tongues. It will concentrate on the Amundsen Sea shelf, specifically in the region of the Pine Island Glacier, the Thwaites Glacier, and the Getz Ice Shelf. Circumpolar Deep Water (CDW) is a relatively warm water mass (warmer than +1.0 deg Celsius) which is normally confined to the outer edge of the continental shelf by an oceanic front separating this water mass from colder and saltier shelf waters. In the Amundsen Sea however, the deeper parts of the continental shelf are filled with nearly undiluted CDW, which is mixed upward, delivering significant amounts of heat to the base of the floating glacier tongues and the ice shelf. The melt rate beneath the Pine Island Glacier averages ten meters of ice per year with local annual rates reaching twenty meters. By comparison, melt rates beneath the Ross Ice Shelf are typically twenty to forty centimeters of ice per year. In addition, both the Pine Island and the Thwaites Glacier are extremely fast-moving, and have a significant effect on the regional ice mass balance of West Antarctica. This project therefore has an important connection to antarctic glaciology, particularly in assessing the combined effect of global change on the antarctic environment. The particular objectives of the project are (1) to delineate the frontal structure on the continental shelf sufficiently to define quantitatively the major routes of CDW inflow, meltwater outflow, and the westward evolution of CDW influence; (2) to use the obtained data set to validate a three-dimensional model of sub-ice ocean circulation that is currently under construction, and (3) to refine the estiamtes of in situ melting on the mass balance of the antarctic ice sheet. The observational program will be carried out from the research vessel Nathaniel B. Palmer in February and March, 1999.",
+ "license": "proprietary"
+ },
{
"id": "USArray_Ground_Temperature_1680_1.1",
"title": "ABoVE: Soil Temperature Profiles, USArray Seismic Stations, 2016-2021",
@@ -154322,149 +136889,6 @@
"description": "The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.",
"license": "proprietary"
},
- {
- "id": "VIIRS_N20-NAVO-L2P-v3.0_3.0",
- "title": "GHRSST Level 2P NAVO 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-20 satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2024-02-20",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2847232153-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847232153-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_N20-NAVO-L2P-v3.0_3.0",
- "description": "The VIIRS_N20-NAVO-L2P-v3.0 dataset produced by the Naval Oceanographic Office (NAVO) derives the 1-meter depth Sea Surface Temperature (SST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System (JPSS)-1 satellite, renamed as NOAA-20 (N20). N20 was launched on November 18, 2017, the 2nd satellite in the US NOAA JPSS series.
VIIRS L2P SST products are derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NAVO's Level-2 SST processor version 3.0 (v3.0). Data contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). The data record is available back to Feb. 20 2024. The L2P SST v3.0 is the first release at PO.DAAC derived from the L2P SST processor v3.0, which was upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades.
The product is comparable with the NPP VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-NAVO-L2P-v3.0) and the N21 VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_N21-NAVO-L2P-v3.0) datasets. It also has similar coverage and quality as the NOAA ACSPO VIIRS L2P SST (https://podaac.jpl.nasa.gov/dataset/N20-VIIRS-L2P-ACSPO-v2.80). ",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_N20-STAR-L2P-v2.80_2.80",
- "title": "GHRSST Level 2P NOAA STAR SST v2.80 from VIIRS on NOAA-20 Satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-01-05",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2147478146-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2147478146-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_N20-STAR-L2P-v2.80_2.80",
- "description": "NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS), launched on November 18, 2017. NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS). The L2P SST product is derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system, and reported in 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). SSTs are derived from Brightness Temperatures (BTs) using the Non-Linear SST (NLSST) algorithms (Petrenko et al., 2014). An ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Only ACSM confidently clear pixels are recommended (equivalent to GDS2 quality level=5). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5. The ACSPO VIIRS L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam) using another NOAA system, SST Quality Monitor (SQUAM). A reduced size (0.5GB/day), equal-angle gridded (0.02-deg resolution), ACSPO L3U product is also available at https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-STAR-L3U-v2.80, where gridded L2P SSTs with QL=5 only are reported. The v2.80 is an updated version from the v2.61 with several algorithm improvements including two added thermal front layers, reduced L2P SST data size, mitigated warm biases in the high latitudes, and improved clear-sky mask. ",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_N20-STAR-L3U-v2.80_2.80",
- "title": "GHRSST Level 3U NOAA STAR SST v2.80 from VIIRS on NOAA-20 Satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-01-05",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2147488020-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2147488020-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_N20-STAR-L3U-v2.80_2.80",
- "description": "NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS), launched on November 18, 2017. The ACSPO N20/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO N20/VIIRS L2P product available here https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-STAR-L2P-v2.80. The L3U output files are 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 0.5GB/day. Fill values are reported at all invalid pixels, including pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, a subset of l2p_flags (including day/night, land, ice, twilight, and glint flags), wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://www.doi.org/10.5067/GHCMC-4FM03). Only L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data in SQUAM. The v2.80 is an updated version from the v2.61 with several L2P algorithm improvements including two added thermal front layers, mitigated warm biases in the high latitudes, and improved clear-sky mask.",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_N21-NAVO-L2P-v3.0_3.0",
- "title": "GHRSST Level 2P NAVO 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-21 satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2024-02-21",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2847232536-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2847232536-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_N21-NAVO-L2P-v3.0_3.0",
- "description": "The VIIRS_N21-NAVO-L2P-v3.0 dataset produced by the Naval Oceanographic Office (NAVO) derives the 1-meter depth Sea Surface Temperature (SST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System (JPSS)-2 satellite, renamed as NOAA-21 (N21). N21 was launched on November 10, 2022, the 3rd satellite in the US NOAA JPSS series.
VIIRS L2P SST products are derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NAVO's Level-2 SST processor version 3.0 (v3.0). Data contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). The data record is available back to Feb. 21 2024. The L2P SST v3.0 is the first release at PO.DAAC derived from the L2P SST processor v3.0, which was upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades.
The product is comparable with the NPP VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-NAVO-L2P-v3.0) and the N20 VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-NAVO-L2P-v3.0). It also has similar coverage and quality as the NOAA ACSPO VIIRS L2P SST (https://podaac.jpl.nasa.gov/dataset/N21-VIIRS-L2P-ACSPO-v2.80). ",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_NPP-JPL-L2P-v2016.2_2016.2",
- "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Visible and Infrared Imager/Radiometer Suite (VIIRS) on the Suomi-NPP satellite (GDS2)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2011-11-21",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996881456-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996881456-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D%3D/VIIRS_NPP-JPL-L2P-v2016.2_2016.2",
- "description": "These files contain NASA produced skin sea surface temperature (SST) products from the Infrared (IR) channels of the Visible and Infrared Imager/Radiometer Suite (VIIRS) onboard the Suomi-NPP satellite. VIIRS is a multi-disciplinary instrument that is also being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, of which NOAA-20 is the first. JPSS is a multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). Suomi-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data. VIIRS has 22 spectral bands ranging from 412 nm to 12 micron . There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375 m), and one day-night band (DNB). VIIRS uses on-board pixel aggregation to reduce the growth in size of pixels away from nadir. Two SST products are contained in these files. The first is a skin SST produced separately for day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST products from heritage and current NASA sensors. At night, a second triple channel SST product is generated using the 3.7 , 11 and 12 micron IR channels, identified as SST_triple. Due to the sun glint in the 3.7 micron SST_triple can only be used at night. VIIRS L2P SST data have a 750 spatial resolution at nadir and are stored in ~288 five minute granules per day. Full global coverage is obtained each day. The production of VIIRS NASA L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS were responsible for sea surface temperature algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of VIIRS ocean products. JPL acquires VIIRS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. In mid-August, 2018, the RSMAS involvement in the VIIRS SST project ceased, and the subsequent fields are not maintained.The R2016.2 supersedes the previous v2016.0 datasets which can be found at https://doi.org/10.5067/GHVRS-2PN16",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_NPP-NAVO-L2P-v1.0_1.0",
- "title": "GHRSST Level 2P 1 m Depth Global Sea Surface Temperature from VIIRS on Suomi NPP (GDS2) V1",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2013-05-20",
- "end_date": "2016-02-25",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996881807-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996881807-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D%3D/VIIRS_NPP-NAVO-L2P-v1.0_1.0",
- "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) satellite launched on 28 October 2011. The VIIRS instrument is a a 22-band, multi-spectral scanning radiometer with a 3040-km swath width that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 740 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. However, the processing of this dataset aggregates two pixels into one so the resolution is 1500 meters at nadir. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_NPP-NAVO-L2P-v2.0_2.0",
- "title": "GHRSST Level 2P 1 m Depth Global Sea Surface Temperature from VIIRS on Suomi NPP (GDS2) V2",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2016-02-25",
- "end_date": "2018-02-22",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036881016-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036881016-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D%3D/VIIRS_NPP-NAVO-L2P-v2.0_2.0",
- "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) satellite launched on 28 October 2011. The VIIRS instrument is a a 22-band, multi-spectral scanning radiometer with a 3040-km swath width that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 740 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. However, the processing of this dataset aggregates two pixels into one so the resolution is 1500 meters at nadir. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_NPP-NAVO-L2P-v3.0_3.0",
- "title": "GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS2)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2018-01-30",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996881636-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996881636-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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%3D%3D/VIIRS_NPP-NAVO-L2P-v3.0_3.0",
- "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth. The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades. It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications.",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_NPP-STAR-L2P-v2.80_2.80",
- "title": "GHRSST Level 2P NOAA STAR SST v2.80 from VIIRS on S-NPP Satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-02-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2147480877-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2147480877-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_NPP-STAR-L2P-v2.80_2.80",
- "description": "The Joint Polar Satellite System (JPSS), starting with S-NPP launched on 28 October 2011, is the new generation of the US Polar Operational Environmental Satellites (POES). NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS). The L2P SST product is derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system, and reported in 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). SSTs are derived from Brightness Temperatures (BTs) using the Non-Linear SST (NLSST) algorithms (Petrenko et al., 2014). An ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Only ACSM confidently clear pixels are recommended (equivalent to GDS2 quality level=5). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5. The ACSPO VIIRS L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam) using another NOAA system, SST Quality Monitor (SQUAM). A reduced size (0.5GB/day), equal-angle gridded (0.02-deg resolution), ACSPO L3U product is also available at https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-STAR-L3U-v2.80, where gridded L2P SSTs with QL=5 only are reported. The v2.80 is an updated version from the v2.61 with several algorithm improvements including two added thermal front layers, reduced L2P SST data size, mitigated warm biases in the high latitudes, and improved clear-sky mask.",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_NPP-STAR-L3U-v2.80_2.80",
- "title": "GHRSST Level 3U NOAA STAR SST v2.80 from VIIRS on S-NPP Satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2012-02-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2147485059-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2147485059-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_NPP-STAR-L3U-v2.80_2.80",
- "description": "The Joint Polar Satellite System (JPSS), starting with S-NPP launched on 28 October 2011, is the new generation of the US Polar Operational Environmental Satellites (POES). The ACSPO SNPP/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO NPP/VIIRS L2P product available here https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-STAR-L2P-v2.80 . The L3U output files are 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 0.5GB/day. Fill values are reported at all invalid pixels, including pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, a subset of l2p_flags (including day/night, land, ice, twilight, and glint flags), wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://www.doi.org/10.5067/GHCMC-4FM03). Only L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data in SQUAM. The v2.80 is an updated version from the v2.61 with several L2P algorithm improvements including two added thermal front layers, mitigated warm biases in the high latitudes, and improved clear-sky mask.",
- "license": "proprietary"
- },
- {
- "id": "VIIRS_SST_NPP_NAR-OSISAF-L3C-v1.0_1",
- "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS (GDS V2) produced by OSI SAF",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2013-11-11",
- "end_date": "2020-11-20",
- "bbox": "-76.02, 13.59, 72.97, 78.24",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878808-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878808-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=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_SST_NPP_NAR-OSISAF-L3C-v1.0_1",
- "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the North Atlantic Region (NAR) based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.",
- "license": "proprietary"
- },
{
"id": "VIIRS_Val_FLKeys_0",
"title": "VIIRS validation measurements made in the Florida Keys",
@@ -154513,7 +136937,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268446-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268446-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VIP01_004",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VIP01_004",
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIP01 VI data product is a daily global file at 0.05 degree (5600 meter (m)) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIP01 VI product contains 11 Science Datasets (SDS), which includes the calculated VIs (NDVI and EVI2) as well as information on the quality assurance/pixel reliability, the input Visible/Near Infrared (VNIR) surface reflectance data, and viewing geometry. The Blue and Middle Infrared (MIR) surface reflectance data are only available for the MODIS era (2000 - 2014). Gaps in the daily product are filled using long term mean VI records derived from the more than 30 year time series of data, and are indicated as gap-filled in the Pixel Reliability SDS. A low resolution browse image showing NDVI as a color map is also available.",
"license": "proprietary"
},
@@ -154526,7 +136950,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268449-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268449-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VIP07_004",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VIP07_004",
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIP07 VI data product is a composite of seven daily images with 0.05 degree (5600 meter (m)) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIP07 VI product contains 12 Science Datasets (SDS), which include the calculated VIs (NDVI and EVI2) as well as quality assurance/pixel reliability, the input Visible/Near Infrared (VNIR) surface reflectance data, and viewing geometry. The Blue and Middle Infrared (MIR) surface reflectance data are only available for the MODIS era (2000 - 2014). Gaps in the daily product are filled using long term mean VI records derived from the more than 30 year time series of data, and are indicated as gap-filled in the Pixel Reliability SDS. A low resolution browse image showing NDVI as a color map is also available.",
"license": "proprietary"
},
@@ -154539,7 +136963,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268450-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268450-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VIP15_004",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VIP15_004",
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIP15 VI data product is provided twice monthly at 0.05 degree (5600 meter (m)) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIP15 VI product contains 12 Science Datasets (SDS) which include the calculated VIs (NDVI and EVI2) as well as quality assurance/pixel reliability, the input Visible/Near Infrared (VNIR) surface reflectance data, and viewing geometry. The Blue and Middle Infrared (MIR) surface reflectance data are only available for the MODIS era (2000 - 2014). Gaps in the daily product are filled using long term mean VI records derived from the more than 30 year time series of data, and are indicated as gap-filled in the Pixel Reliability SDS. A low resolution browse image showing NDVI as a color map is also available. The VIP15 dataset includes two composites per month. The first composite is generated from day 1 to 15, and the second composite includes the remaining days of the month. This dataset consists of 24 files per year.",
"license": "proprietary"
},
@@ -154552,7 +136976,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268451-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268451-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VIP30_004",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VIP30_004",
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIP30 VI data product is provided monthly at 0.05 degree (5600 meter (m)) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIP30 VI product contains 12 Science Datasets (SDS), which include the calculated VIs (NDVI and EVI2) as well as quality assurance/pixel reliability, the input Visible/Near Infrared (VNIR) surface reflectance data, and viewing geometry. The Blue and Middle Infrared (MIR) surface reflectance data are only available for the MODIS era (2000 - 2014). Gaps in the product are filled using long term mean VI records derived from the more than 30 year time series of data, and are indicated as gap-filled in the Pixel Reliability SDS. The VIP30 dataset consists of 12 monthly composites annually representing each calendar month of the year.",
"license": "proprietary"
},
@@ -154565,7 +136989,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268453-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268453-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VIPPHEN_EVI2_004",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VIPPHEN_EVI2_004",
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIP30 VI data product is provided monthly at 0.05 degree (5600 meter (m)) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIP30 VI product contains 12 Science Datasets (SDS), which include the calculated VIs (NDVI and EVI2) as well as quality assurance/pixel reliability, the input Visible/Near Infrared (VNIR) surface reflectance data, and viewing geometry. The Blue and Middle Infrared (MIR) surface reflectance data are only available for the MODIS era (2000 - 2014). Gaps in the product are filled using long term mean VI records derived from the more than 30 year time series of data, and are indicated as gap-filled in the Pixel Reliability SDS. The VIP30 dataset consists of 12 monthly composites annually representing each calendar month of the year.",
"license": "proprietary"
},
@@ -154578,7 +137002,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268456-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763268456-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VIPPHEN_NDVI_004",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VIPPHEN_NDVI_004",
"description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Vegetation Index and Phenology (VIP) global datasets were created using surface reflectance data from the Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 \u2013 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIPPHEN data product is provided globally at 0.05 degree (5600 meter) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIPPHEN phenology product contains 26 Science Datasets (SDS) which include phenological metrics such as the start, peak, and end of season as well as the rate of greening and senescence. The product also provides the maximum, average, and background calculated VIs. The VIPPHEN SDS are based on the daily VIP product series and are calculated using a 3-year moving window average to smooth out noise in the data. A reliability SDS is included to provide context on the quality of the input data. ",
"license": "proprietary"
},
@@ -155046,7 +137470,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314612-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314612-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ103MODLL_021",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ103MODLL_021",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Moderate Resolution Terrain Correction Geolocation (VJ103MODLL) Version 2.1 product from the NOAA-20 VIIRS sensor is produced in 6 minute temporal satellite increments (swaths) at 750 meter resolution. Intersecting the VIIRS line of sight vector with Earth\u2019s geoid and the World Geodetic System (WGS) ellipsoid, this product is based on the SRTM30 Version 2 digital elevation model (DEM), which uses GTOPO30 data for areas from 60\u00b0 North to 60\u00b0 South. VJ103MODLL is a terrain correction geolocation product that provides the spatial location for various VIIRS data products. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). Provided in the VJ103MODLL product are layers for height, latitude, and longitude. These Science Data Sets (SDS) layers are used in conjunction with the (VJ114) (https://doi.org/10.5067/viirs/vj114.002) swath product for accurate geolocation information.",
"license": "proprietary"
},
@@ -155098,7 +137522,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2501959919-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2501959919-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ109A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ109A1_002",
"description": "The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) surface reflectance (VJ109A1) Version 2 composite product provides an estimate of land surface reflectance from the NOAA-20 VIIRS sensor for nine moderate resolution bands (M1 - M5, M7, M8, M10, M11) at nominal 1 kilometer resolution (~926 meter). The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the Level 2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period that is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. Included in the product along with the nine reflectance bands are day of year, reflectance band quality, control, reflectance state quality assurance, relative azimuth angle, sensor zenith angle, and solar zenith angle layers. ",
"license": "proprietary"
},
@@ -155111,7 +137535,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519121257-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519121257-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ109CMG_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ109CMG_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance Climate Modeling Grid (VJ109CMG) Version 2 product provides an estimate of land surface reflectance from the NOAA-20 VIIRS sensor. Data are provided for three imagery bands (I1-I3) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at 0.05 degree (~5,600 meter) resolution. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. This product uses a weighted average of the best quality observation and is formatted as a CMG for use in climate simulation models. This product includes the twelve reflectance bands, five moderate resolution brightness temperature bands (M12-M16) and information layers representing relative azimuth angle, sensor zenith angle, solar zenith angle, reflectance band quality, time of day, and number mapping. ",
"license": "proprietary"
},
@@ -155137,7 +137561,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2631841524-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2631841524-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ109GA_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ109GA_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance (VJ109GA) Version 2 product provides an estimate of land surface reflectance from the NOAA-20 VIIRS sensor. Data are provided for three imagery bands (I1-I3) at nominal 500 meter resolution (~463 meter) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the Level 2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. The inputs to the surface reflectance algorithm are top-of-atmosphere reflectance for the VIIRS visible bands,the VIIRS cloud mask and aerosol product, aerosol optical thickness and atmospheric data obtained from the NOAA National Centers for Environmental Prediction (NCEP) reanalysis system. Along with the twelve reflectance bands are reflectance band quality, sensor azimuth angle, solar azimuth angle, sensor zenith angle, solar zenith angle, and observations layers. The reflectance layers from the VNP09GA data product are used as input data for many of the VIIRS land products. ",
"license": "proprietary"
},
@@ -155163,7 +137587,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519120226-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519120226-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ109H1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ109H1_002",
"description": "The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Surface Reflectance (VJ109H1) Version 2 composite product provides an estimate of land surface reflectance from the NOAA-20 VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~463 meter). The 500 meter dataset is derived through resampling the native 375 meter VIIRS resolution in the L2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period, which is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. The three reflectance bands, this product includes a state quality assurance (QA) layer and a reflectance band quality layer. ",
"license": "proprietary"
},
@@ -155202,7 +137626,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317026377-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317026377-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ110A1F_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ110A1F_2",
"description": "This data set contains daily 'cloud-free' snow cover produced from the VIIRS/JPSS-1 Snow Cover Daily L3 Global 375m SIN Grid, Version 2 snow cover product. A cloud-gap-filled algorithm is utilized to replace \u2018cloud-covered\u2019 pixels with \u2018cloud-free pixels\u2019 for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid.",
"license": "proprietary"
},
@@ -155215,7 +137639,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317023438-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317023438-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ110A1_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ110A1_2",
"description": "This data set contains daily snow cover derived from radiance data acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Joint Polar Satellite System's first satellite (JPSS-1). The data is a gridded composite, generated from 6 minute swaths, and projected to a 375 m Sinusoidal grid. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections.",
"license": "proprietary"
},
@@ -155228,7 +137652,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317027844-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317027844-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ110C1_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ110C1_2",
"description": "This global Level-3 data set provides the percentage of snow-covered land and cloud-covered land observed daily, within 0.05\u00b0 (approx. 5 km at the equator) MODIS/VIIRS Climate Modeling Grid (CMG) cells. Percentages are computed from snow cover observations in the 'VIIRS/JPSS1 Snow Cover Daily L3 Global 375m SIN Grid' data set (DOI:10.5067/UAJGR7WVWDDI).",
"license": "proprietary"
},
@@ -155241,7 +137665,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317016134-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317016134-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ110_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ110_2",
"description": "This data set reports the location of snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Joint Polar Satellite System's first satellite (JPSS-1). Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.",
"license": "proprietary"
},
@@ -155267,7 +137691,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519122065-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519122065-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ113A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ113A1_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VJ113A1) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter (m) resolution. The VJ113 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VJ113 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles; and a quality layer. Two low resolution browse images are also available for each VJ113A1 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -155280,7 +137704,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519122898-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519122898-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ113A2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ113A2_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VJ113A2) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 1 kilometer (km) resolution. The VJ113 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VJ113 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles, and a quality layer. Two low resolution browse images are also available for each VJ113A2 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -155293,7 +137717,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519123479-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519123479-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ113A3_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ113A3_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VJ113A3) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a monthly acquisition period at 1 kilometer (km) resolution. The VJ113 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VJ113 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; pixel reliability; pixel reliability; relative azimuth, view, and sun angles; and a quality layer. Two low resolution browse images are also available for each VJ113A3 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -155306,7 +137730,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310861-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310861-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ113C1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ113C1_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VJ113C1) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 0.05 degree (Deg) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VJ113 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for the standard deviations of each Vegetation Index; NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; number of pixels, number of pixels used; pixel reliability; average sun angle, and a quality layer. Two low resolution browse images are also available for each VJ113C1 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -155319,7 +137743,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310866-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310866-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ113C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ113C2_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VJ113C2) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (Deg) resolution. The VJ113 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VJ113 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for the standard deviations of each Vegetation Index; NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; number of pixels, number of pixels used; pixel reliability; average sun angle, and a quality layer. Two low resolution browse images are also available for each VJ113C2 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -155332,7 +137756,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310874-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310874-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ114A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ114A1_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Thermal Anomalies and Fire (VJ114A1) Version 2 data product provides daily information about active fires and other thermal anomalies. The VJ114A1 data product is a global, 1 kilometer (km) gridded composite of fire pixels detected from VIIRS 750 meter (m) bands over a daily (24-hour) period. The VJ114 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies/Fire product suite. The VJ114A1 product provides a total of four Science Dataset (SDS) layers for the confidence of fire, maximum fire radiative power (FRP), quality assessment (QA), and position of fire within scan. Each data product file is provided in HDF-EOS5 format. A low resolution browse is also provided showing the fire mask layer with a color map applied in JPEG format. ",
"license": "proprietary"
},
@@ -155358,7 +137782,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734197957-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734197957-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VJ114IMG_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VJ114IMG_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires (VJ114IMG) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 375 meter resolution from the VIIRS sensor aboard the NOAA-20 satellite. This product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events as well as thermal anomalies. The VJ114IMG product includes 26 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g., radiance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VJ114IMG product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VJ114IMG product is also used to generate higher-level fire data products. Use of the VJ103MODLL data product is required to apply accurate geolocation information to the VJ114IMG Science Datasets (SDS). ",
"license": "proprietary"
},
@@ -155384,7 +137808,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310869-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310869-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ114_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ114_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Thermal Anomalies (VJ114) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 750 meter resolution from the VIIRS sensor located on the NOAA-20 satellite. This product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events as well as identifying thermal anomalies. The VJ114 product includes 31 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g., atmospheric reflectance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VJ114 product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes. In addition to the fire mask, brightness temperature is provided for VIIRS channels M5, M7, M11, M13, M15, and M16. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VJ114 product is also used to generate higher-level fire data products. Use of the (VJ103MODLL) (https://doi.org/10.5067/viirs/vj103modll.021) data product is required to apply accurate geolocation information to the VJ114 Science Datasets (SDS). ",
"license": "proprietary"
},
@@ -155410,7 +137834,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310879-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310879-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ115A2H_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ115A2H_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 2 data product (VJ115A2H) provides information about the vegetative canopy layer at 500 meter resolution. The VIIRS sensor is located aboard the NOAA-20 satellite. LAI is an index that quantifies the one-sided leaf area of a canopy, while FPAR is the fraction of incoming solar energy absorbed through photosynthesis at 400 to 700 nanometers. This product is intentionally designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) LAI/FPAR operational algorithm to promote the continuity of the Earth Observation System (EOS) mission. The VJ115A2H product includes six Science Data Set Layers for the analysis of key factors in LAI/FPAR measurements. These include the LAI and FPAR measurements, quality detail for LAI/FPAR, extra quality detail for FPAR, and the standard deviation for LAI and FPAR. Two low resolution browse images are also available for each VJ115A2H granule: LAI and FPAR.",
"license": "proprietary"
},
@@ -155423,7 +137847,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310887-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310887-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VJ121A1D_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ121A1D_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Day Version 2 product (VJ121A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VJ121) (https://doi.org/10.5067/VIIRS/VJ121.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ121A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VJ121A1D product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1D) (https://doi.org/10.5067/MODIS/MOD21A1D.061)) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). The VJ121A1D product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VJ121A1D granule. ",
"license": "proprietary"
},
@@ -155436,7 +137860,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310892-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310892-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ121A1N_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ121A1N_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 2 product (VJ121A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VJ121) (https://doi.org/10.5067/VIIRS/VJ121.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VJ121A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VJ121A1N product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1N) (https://doi.org/10.5067/MODIS/MOD21A1N.061) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). The VJ121A1N product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VJ121A1N granule. ",
"license": "proprietary"
},
@@ -155449,7 +137873,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310897-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310897-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VJ121A2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VJ121A2_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) 8-day product (VJ121A2) combines the daily (VJ121A1D) (http://doi.org/10.5067/VIIRS/VJ121A1D.002) and (VJ121A1N) (http://doi.org/10.5067/VIIRS/VJ121A1N.002) products over an 8-day compositing period into a single product. The VJ121A2 dataset is an 8-day composite LST&E product at 1 kilometer resolution that uses an algorithm based on a simple-averaging method. The algorithm calculates the average from all the cloud-free VJ121A1D and VJ121A1N daily acquisitions from the 8-day period. Unlike the VJ121A1 datasets where the daytime and nighttime acquisitions are separate products, the VJ121A2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The VJ121A2 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A2) (https://doi.org/10.5067/MODIS/MOD21A2.061) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). The VJ121A2 product contains 11 Science Datasets (SDS): LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ121A2 granule. ",
"license": "proprietary"
},
@@ -155462,7 +137886,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310901-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310901-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VJ121C1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ121C1_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) Climate Modeling Grid Version 2 product (VJ121C) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VJ121) (https://doi.org/10.5067/VIIRS/VJ121.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ121A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The 0.05 degree (5600 m) dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf).",
"license": "proprietary"
},
@@ -155475,7 +137899,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310905-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310905-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VJ121C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VJ121C2_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) 8-day Climate Modeling Grid Version 2 product (VJ121C2) combines the daily (VJ121A1D) (http://doi.org/10.5067/VIIRS/VJ121A1D.002) and (VJ121A1N) (http://doi.org/10.5067/VIIRS/VJ121A1N.002) products over an 8-day compositing period into a single product. The VJ121C2 dataset is an 8-day composite LST&E product at 0.05 degree (~5,600 meter) resolution that uses an algorithm based on a simple-averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud-free VJ121A1D and VJ121A1N daily acquisitions from the 8-day period. Unlike the VJ121A1 datasets where the daytime and nighttime acquisitions are separate products, the VJ121C2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/sites/default/files/public/product_documentation/vnp21_atbd.pdf. ",
"license": "proprietary"
},
@@ -155488,7 +137912,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310909-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310909-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ121C3_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ121C3_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) monthly Climate Modeling Grid Version 2 product (VJ121C3) provides LST&E by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (~5,600 meter) resolution. The VJ121C3 dataset is a monthly composite LST&E product that uses an algorithm based on a simple averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud free VJ121A1D (http://doi.org/10.5067/VIIRS/VJ121A1D.002) and VJ121A1N (http://doi.org/10.5067/VIIRS/VJ121A1N.002) daily acquisitions from the monthly period. Unlike the VJ121A1 data sets where the daytime and nighttime acquisitions are separate products, the VJ121C3 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). ",
"license": "proprietary"
},
@@ -155514,7 +137938,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310883-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310883-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIiwidW1tIjoiW1wibmFzYWRlbSBtZXJnZWQgZGVtIGdsb2JhbCAxIGFyYyBzZWNvbmQgbmMgdjAwMVwiLFwiTFBDTE9VRFwiLFwiTkFTQURFTV9OQ1wiLFwiMVwiLDI3NjMyNjQ3NjQsMTRdIn0%3D/VJ121_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1wibmFzYSBzaHV0dGxlIHJhZGFyIHRvcG9ncmFwaHkgbWlzc2lvbiBzd2F0aCBpbWFnZSBkYXRhIHYwMDNcIixcIkxQQ0xPVURcIixcIlNSVE1JTUdSXCIsXCIzXCIsMjc2MzI2ODQ0NCwxNF0iLCJ1bW0iOiJbXCJuYXNhIHNodXR0bGUgcmFkYXIgdG9wb2dyYXBoeSBtaXNzaW9uIHN3YXRoIGltYWdlIGRhdGEgdjAwM1wiLFwiTFBDTE9VRFwiLFwiU1JUTUlNR1JcIixcIjNcIiwyNzYzMjY4NDQ0LDE0XSJ9/VJ121_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Version 2 swath product (VJ121) is produced daily in 6-minute temporal increments of satellite acquisition. The VJ121 product uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for VIIRS thermal infrared bands M14 (8.55 \u00b5m), M15 (10.76 \u00b5m), and M16 (12 \u00b5m) at a spatial resolution of 750 meters. The VJ121 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21) (https://doi.org/10.5067/MODIS/MOD21.061) using the same input atmospheric products and algorithmic approach based on the ASTER Temperature Emissivity Separation (TES) technique. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). Provided in the VJ121 product are layers for LST, quality control, emissivity for bands M14, M15, and M16, LST&E errors, view angle, ASTER Global Emissivity Dataset (GED), Precipitable Water Vapor (PWV), ocean-land mask, latitude, and longitude. A low-resolution browse image for LST is also available for each VJ121 granule. ",
"license": "proprietary"
},
@@ -155540,7 +137964,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2730257708-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2730257708-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ128C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ128C2_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir 8-day Level 3 (L3) Global (VJ128C2) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The VJ128C2 data product provides an 8-day time series of surface area, elevation, and water storage. Datasets are combined with pre-established Area-Elevation (A-E) curves and image classifications of near-infrared (NIR) reflectance from the surface reflectance product acquired by the VIIRS satellite (VJ109H1). The VJ128C2 data product consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, and water storage capacity. ",
"license": "proprietary"
},
@@ -155553,7 +137977,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2696224576-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2696224576-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VJ128C3_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VJ128C3_002",
"description": "The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir Monthly Level 3 (L3) Global (VJ128C3) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The VJ128C3 data product is a composite of the 8-day area classifications from VJ128C2 which is converted to provide monthly elevation and water storage. The Lake Temperature and Evaporation Model (LTEM) with input from VIIRS Land Surface Temperature and Emissivity (VJ121A2) and meteorological data from Global Land Data Assimilation System (GLDAS) are used to produce monthly evaporation rates and volume losses. The VJ128C3 data product provides a monthly time series that consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, water storage capacity, evaporation rate, and evaporation volume. ",
"license": "proprietary"
},
@@ -155566,7 +137990,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317030842-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317030842-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ129P1D_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ129P1D_2",
"description": "This data set reports sea ice cover/extent derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes sea ice cover using Normalized Difference Snow Index (NDSI). VIIRS flies on board the Joint Polar Satellite System 1 (JPSS-1), also known as NOAA-20.",
"license": "proprietary"
},
@@ -155579,7 +138003,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317029310-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317029310-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ129_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ129_2",
"description": "This data set reports the location of sea ice cover derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System's first satellite (JPSS-1). Following the approach used by MODIS, sea ice is detected using the Normalized Difference Snow Index.",
"license": "proprietary"
},
@@ -155605,7 +138029,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317033465-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317033465-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ130P1D_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ130P1D_2",
"description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique. VIIRS flies on board the Joint Polar Satellite System 1 (JPSS-1), also known as NOAA-20.",
"license": "proprietary"
},
@@ -155618,7 +138042,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317035855-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317035855-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ130P1N_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ130P1N_2",
"description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique. VIIRS flies on board the Joint Polar Satellite System 1 (JPSS-1), also known as NOAA-20.",
"license": "proprietary"
},
@@ -155631,7 +138055,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317031993-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317031993-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VJ130_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VJ130_2",
"description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System's first satellite (JPSS-1). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique.",
"license": "proprietary"
},
@@ -155995,7 +138419,7 @@
"bbox": "180, -90, -180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804702704-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804702704-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VJ218A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VJ218A1_002",
"description": "VIIRS/JPSS2 Downward Shortwave Radiation Daily L3 Global 1km SIN Grid V002",
"license": "proprietary"
},
@@ -156008,7 +138432,7 @@
"bbox": "180, -90, -180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804703191-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804703191-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VJ218A2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VJ218A2_002",
"description": "VIIRS/JPSS2 Photosynthetically Active Radiation Daily L3 Global 1km SIN Grid V002",
"license": "proprietary"
},
@@ -156021,7 +138445,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804710260-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804710260-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VJ218C1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VJ218C1_002",
"description": "VIIRS/JPSS2 Downward Shortwave Radiation Daily L3 Global 0.05Deg CMG V002",
"license": "proprietary"
},
@@ -156034,7 +138458,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804710605-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804710605-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VJ218C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VJ218C2_002",
"description": "VIIRS/JPSS2 Photosynthetically Active Radiation Daily L3 Global 0.05Deg CMG V002",
"license": "proprietary"
},
@@ -156255,7 +138679,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1410800182-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1410800182-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP03MODLL_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP03MODLL_001",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Moderate Resolution Terrain Correction Geolocation (VNP03MODLL) Version 1 product from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor is produced in 6 minute temporal satellite increments (swaths) at 750 meter resolution. Intersecting the VIIRS line of sight vector with Earth\u2019s geoid and the World Geodetic System (WGS) ellipsoid, this product is based on the SRTM30 Version 2 digital elevation model (DEM), which uses GTOPO30 data for areas from 60\u00b0 North to 60\u00b0 South. VNP03MODLL is a terrain correction geolocation product that provides the spatial location for various VIIRS data products. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). Provided in the VNP03MODLL product are layers for height, latitude, and longitude. These Science Data Sets (SDS) layers are used in conjunction with the (VNP14) (https://doi.org/10.5067/viirs/vnp14.001) swath product for accurate geolocation information.",
"license": "proprietary"
},
@@ -156268,7 +138692,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310947-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545310947-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP03MODLL_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP03MODLL_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Moderate Resolution Terrain Correction Geolocation (VNP03MODLL) Version 2 product from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor is produced in 6 minute temporal satellite increments (swaths) at 750 meter resolution. Intersecting the VIIRS line of sight vector with Earth\u2019s geoid and the World Geodetic System (WGS) ellipsoid, this product is based on the SRTM30 Version 2 digital elevation model (DEM), which uses GTOPO30 data for areas from 60\u00b0 North to 60\u00b0 South. VNP03MODLL is a terrain correction geolocation product that provides the spatial location for various VIIRS data products. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). Provided in the VNP03MODLL product are layers for height, latitude, and longitude. These Science Data Sets (SDS) layers are used in conjunction with the (VNP14) (https://doi.org/10.5067/viirs/vnp14.002) swath product for accurate geolocation information.",
"license": "proprietary"
},
@@ -156307,7 +138731,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412073-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412073-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP09A1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP09A1_001",
"description": "The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) surface reflectance (VNP09A1) Version 1 composite product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor for nine moderate resolution bands (M1 - M5, M7, M8, M10, M11) at nominal 1 kilometer resolution (~926 meter). The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the Level 2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period that is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. Included in the product along with the nine reflectance bands are day of year, reflectance band quality, control, reflectance state quality assurance, relative azimuth angle, sensor zenith angle, and solar zenith angle layers. ",
"license": "proprietary"
},
@@ -156320,7 +138744,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519124793-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519124793-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP09A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP09A1_002",
"description": "The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) surface reflectance (VNP09A1) Version 2 composite product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor for nine moderate resolution bands (M1 - M5, M7, M8, M10, M11) at nominal 1 kilometer resolution (~926 meter). The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the Level 2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period that is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. Included in the product along with the nine reflectance bands are day of year, reflectance band quality, control, reflectance state quality assurance, relative azimuth angle, sensor zenith angle, and solar zenith angle layers. ",
"license": "proprietary"
},
@@ -156333,7 +138757,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412071-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412071-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP09CMG_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP09CMG_001",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance Climate Modeling Grid (VNP09CMG) Version 1 product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor. Data are provided for three imagery bands (I1-I3) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at 0.05 degree (~5,600 meter) resolution. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. This product uses a weighted average of the best quality observation and is formatted as a CMG for use in climate simulation models. This product includes the twelve reflectance bands, five moderate resolution brightness temperature bands (M12-M16) and information layers representing relative azimuth angle, sensor zenith angle, solar zenith angle, reflectance band quality, time of day, and number mapping. ",
"license": "proprietary"
},
@@ -156346,7 +138770,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519126793-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519126793-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP09CMG_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP09CMG_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance Climate Modeling Grid (VNP09CMG) Version 2 product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor. Data are provided for three imagery bands (I1-I3) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at 0.05 degree (~5,600 meter) resolution. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. This product uses a weighted average of the best quality observation and is formatted as a CMG for use in climate simulation models. This product includes the twelve reflectance bands, five moderate resolution brightness temperature bands (M12-M16) and information layers representing relative azimuth angle, sensor zenith angle, solar zenith angle, reflectance band quality, time of day, and number mapping. ",
"license": "proprietary"
},
@@ -156372,7 +138796,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412034-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412034-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP09GA_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP09GA_001",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance (VNP09GA) Version 1 product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor. Data are provided for three imagery bands (I1-I3) at nominal 500 meter resolution (~ 463 meter) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the Level 2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. The inputs to the surface reflectance algorithm are top-of-atmosphere reflectance for the VIIRS visible bands, the VIIRS cloud mask and aerosol product, aerosol optical thickness and atmospheric data obtained from the NOAA National Centers for Environmental Prediction (NCEP) reanalysis system. Along with the twelve reflectance bands are reflectance band quality, sensor azimuth angle, solar azimuth angle, sensor zenith angle, solar zenith angle, and observations layers. The reflectance layers from the VNP09GA data product are used as input data for many of the VIIRS land products. ",
"license": "proprietary"
},
@@ -156385,7 +138809,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2631841556-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2631841556-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP09GA_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP09GA_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) daily surface reflectance (VNP09GA) Version 2 product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor. Data are provided for three imagery bands (I1-I3) at nominal 500 meter resolution (~463 meter) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the Level 2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. The inputs to the surface reflectance algorithm are top-of-atmosphere reflectance for the VIIRS visible bands, the VIIRS cloud mask and aerosol product, aerosol optical thickness and atmospheric data obtained from the NOAA National Centers for Environmental Prediction (NCEP) reanalysis system. Along with the twelve reflectance bands are reflectance band quality, sensor azimuth angle, solar azimuth angle, sensor zenith angle, solar zenith angle, and observations layers. The reflectance layers from the VNP09GA data product are used as input data for many of the VIIRS land products. ",
"license": "proprietary"
},
@@ -156411,7 +138835,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412048-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1373412048-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP09H1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP09H1_001",
"description": "The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Surface Reflectance (VNP09H1) Version 1 composite product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~463 meter). The 500 meter dataset is derived through resampling the native 375 meter VIIRS resolution in the L2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period, which is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. The three reflectance bands, this product includes a state quality assurance (QA) layer and a reflectance band quality layer. ",
"license": "proprietary"
},
@@ -156424,7 +138848,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519125808-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519125808-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP09H1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP09H1_002",
"description": "The 8-day Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Surface Reflectance (VNP09H1) Version 2 composite product provides an estimate of land surface reflectance from the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS sensor for three imagery bands (I1, I2, I3) at nominal 500 meter resolution (~463 meter). The 500 meter dataset is derived through resampling the native 375 meter VIIRS resolution in the L2 input product. The data are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. Each pixel represents the best possible Level 2G observation during an 8-day period, which is selected on the basis of high observation coverage, low sensor angle, the absence of clouds or cloud shadow, and aerosol loading. The three reflectance bands, this product includes a state quality assurance (QA) layer and a reflectance band quality layer. ",
"license": "proprietary"
},
@@ -156463,7 +138887,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1646583410-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1646583410-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VNP10A1F_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VNP10A1F_1",
"description": "This data set contains daily 'cloud-free' snow cover produced from the VIIRS/NPP Snow Cover Daily L3 Global 375m SIN Grid, Version 1 snow cover product. A cloud-gap-filled algorithm is utilized to replace \u2018cloud-covered\u2019 pixels with \u2018cloud-free pixels\u2019 for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid.",
"license": "proprietary"
},
@@ -156476,7 +138900,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317039512-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317039512-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VNP10A1F_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VNP10A1F_2",
"description": "This data set contains daily 'cloud-free' snow cover produced from the VIIRS/NPP Snow Cover Daily L3 Global 375m SIN Grid, Version 2 snow cover product. A cloud-gap-filled algorithm is utilized to replace \u2018cloud-covered\u2019 pixels with \u2018cloud-free pixels\u2019 for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid.",
"license": "proprietary"
},
@@ -156489,7 +138913,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1600510471-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1600510471-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP10A1_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP10A1_1",
"description": "This data set contains daily snow cover derived from radiance data acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. The data is a gridded composite, generated from 6 minute swaths, and projected to a 375 m Sinusoidal grid. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections.",
"license": "proprietary"
},
@@ -156502,7 +138926,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317038246-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317038246-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP10A1_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP10A1_2",
"description": "This data set contains daily snow cover derived from radiance data acquired by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. The data is a gridded composite, generated from 6 minute swaths, and projected to a 375 m Sinusoidal grid. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of screens designed to alleviate errors and flag uncertain snow cover detections.",
"license": "proprietary"
},
@@ -156515,7 +138939,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317040766-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317040766-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP10C1_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP10C1_2",
"description": "This global Level-3 data set provides the percentage of snow-covered land and cloud-covered land observed daily, within 0.05\u00b0 (approx. 5 km) MODIS/VIIRS Climate Modeling Grid (CMG) cells. Percentages are computed from snow cover observations in the 'VIIRS/NPP Snow Cover Daily L3 Global 375m SIN Grid' data set (DOI:10.5067/45VDCKJBXWEE).",
"license": "proprietary"
},
@@ -156528,7 +138952,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1365767075-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1365767075-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP10_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP10_1",
"description": "This data set reports the location of snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.",
"license": "proprietary"
},
@@ -156541,7 +138965,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317037038-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317037038-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP10_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP10_2",
"description": "This data set reports snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.",
"license": "proprietary"
},
@@ -156567,7 +138991,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010616-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010616-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP13A1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP13A1_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A1) Version 1 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter (m) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI),the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles; and a quality layer. Two low resolution browse images are also available for each VNP13A1 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156580,7 +139004,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519127224-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519127224-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP13A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP13A1_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VNP13A1) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 500 meter (m) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles; and a quality layer. Two low resolution browse images are also available for each VNP13A1 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156593,7 +139017,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010614-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010614-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP13A2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP13A2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A2) Version 1 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 1 kilometer (km) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles, and a quality layer. Two low resolution browse images are also available for each VNP13A2 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156606,7 +139030,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2519127613-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2519127613-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP13A2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP13A2_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VNP13A2) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 1 kilometer (km) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; composite day of year; pixel reliability; relative azimuth, view, and sun angles, and a quality layer. Two low resolution browse images are also available for each VNP13A2 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156619,7 +139043,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010615-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010615-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP13A3_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP13A3_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13A3) Version 1 data product provides vegetation indices by a process of selecting the best available pixel over a monthly acquisition period at 1 kilometer (km) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; pixel reliability; pixel reliability; relative azimuth, view, and sun angles; and a quality layer. Two low resolution browse images are also available for each VNP13A3 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156632,7 +139056,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2631828309-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2631828309-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP13A3_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP13A3_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VNP13A3) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a monthly acquisition period at 1 kilometer (km) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; pixel reliability; pixel reliability; relative azimuth, view, and sun angles; and a quality layer. Two low resolution browse images are also available for each VNP13A3 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156645,7 +139069,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010611-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010611-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP13C1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP13C1_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13C1) Version 1 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 0.05 degree (Deg) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for the standard deviations of each Vegetation Index; NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; number of pixels, number of pixels used; pixel reliability; average sun angle, and a quality layer. Two low resolution browse images are also available for each VNP13C1 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156658,7 +139082,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314532-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314532-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP13C1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP13C1_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VNP13C1) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a 16-day acquisition period at 0.05 degree (Deg) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for the standard deviations of each Vegetation Index; NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; number of pixels, number of pixels used; pixel reliability; average sun angle, and a quality layer. Two low resolution browse images are also available for each VNP13C1 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156671,7 +139095,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010618-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010618-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP13C2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP13C2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices (VNP13C2) Version 1 data product provides vegetation indices by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (Deg) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for the standard deviations of each Vegetation Index; NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; number of pixels, number of pixels used; pixel reliability; average sun angle, and a quality layer. Two low resolution browse images are also available for each VNP13C2 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156684,7 +139108,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2631828311-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2631828311-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP13C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP13C2_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Vegetation Indices (VNP13C2) Version 2 data product provides vegetation indices by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (Deg) resolution. The VNP13 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua Vegetation Indices product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP13 algorithm process produces three vegetation indices: The Normalized Difference Vegetation Index (NDVI), the Enhanced Vegetation Index (EVI), and the Enhanced Vegetation Index-2 (EVI2). NDVI is one of the longest continual remotely sensed time series observations, using both the red and near-infrared (NIR) bands. EVI is a slightly different vegetation index that is more sensitive to canopy cover, while NDVI is more sensitive to chlorophyll. EVI2 is a reformation of the standard 3-band EVI, using the red band and NIR band. This reformation addresses arising issues when comparing VIIRS EVI to other EVI models that do not include a blue band. EVI2 will eventually become the standard EVI. Along with the three Vegetation Indices layers, this product also includes layers for the standard deviations of each Vegetation Index; NIR reflectance; three shortwave infrared (SWIR) reflectance; red, blue, and green reflectance; number of pixels, number of pixels used; pixel reliability; average sun angle, and a quality layer. Two low resolution browse images are also available for each VNP13C2 product: EVI and NDVI.",
"license": "proprietary"
},
@@ -156697,7 +139121,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1523387372-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1523387372-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP14A1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP14A1_001",
"description": "The daily NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies/Fire (VNP14A1) Version 1 data product provides daily information about active fires and other thermal anomalies. The VNP14A1 data product is a global, 1 kilometer (km) gridded composite of fire pixels detected from VIIRS 750 meter (m) bands over a daily (24-hour) period. The VNP14 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies/Fire product suite. The VNP14A1 product provides a total of four Science Dataset (SDS) layers for the confidence of fire, maximum fire radiative power (FRP), quality assessment (QA), and position of fire within scan. Each data product file is provided in HDF-EOS5 format. A low resolution browse is also provided showing the fire mask layer with a color map applied in JPEG format. ",
"license": "proprietary"
},
@@ -156710,7 +139134,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314541-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314541-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP14A1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP14A1_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Thermal Anomalies and Fire (VNP14A1) Version 2 data product provides daily information about active fires and other thermal anomalies. The VNP14A1 data product is a global, 1 kilometer (km) gridded composite of fire pixels detected from VIIRS 750 meter (m) bands over a daily (24-hour) period. The VNP14 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies/Fire product suite. The VNP14A1 product provides a total of four Science Dataset (SDS) layers for the confidence of fire, maximum fire radiative power (FRP), quality assessment (QA), and position of fire within scan. Each data product file is provided in HDF-EOS5 format. A low resolution browse is also provided showing the fire mask layer with a color map applied in JPEG format. ",
"license": "proprietary"
},
@@ -156736,7 +139160,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2734202914-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2734202914-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VNP14IMG_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCB2MDAyXCIsXCJMUENMT1VEXCIsXCJWSjEyMUEyXCIsXCIyXCIsMjU0NTMxMDg5NywyOF0iLCJ1bW0iOiJbXCJ2aWlycy9qcHNzMSBsYW5kIHN1cmZhY2UgdGVtcGVyYXR1cmUvZW1pc3Npdml0eSA4LWRheSBsMyBnbG9iYWwgMWttIHNpbiBncmlkIHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTJcIixcIjJcIiwyNTQ1MzEwODk3LDI4XSJ9/VNP14IMG_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) Active Fires (VNP14IMG) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 375 meter resolution from the VIIRS sensor aboard the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. This Level 2 product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events. Due to its higher spatial resolution, the VNP14IMG active fire product provides greater response over fires of relatively small areas, as well as improved mapping of large fire perimeters in comparison to the VNP14 fire data product. The VNP14IMG product includes 26 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g., radiance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VNP14IMG product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VNP14IMG product is also used to generate higher-level fire data products. Use of the (VNP03MODLL) data product is required to apply accurate geolocation information to the VNP14IMG Science Datasets (SDS). ",
"license": "proprietary"
},
@@ -156762,7 +139186,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010612-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1392010612-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP14_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP14_001",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies (VNP14) Version 1 product is produced in 6-minute temporal satellite increments (swaths) at 750 meter resolution from the VIIRS sensor located on the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. This product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events as well as identifying thermal anomalies. The VNP14 product includes 31 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g. atmospheric reflectance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VNP14 product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes. In addition to the fire mask, brightness temperature is provided for VIIRS channels M5, M7, M11, M13, M15, and M16. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VNP14 product is also used to generate higher-level fire data products. Use of the (VNP03MODLL) (https://doi.org/10.5067/viirs/vnp03modll.001) data product is required to apply accurate geolocation information to the VNP14 Science Datasets (SDS). ",
"license": "proprietary"
},
@@ -156775,7 +139199,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314536-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314536-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP14_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP14_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Thermal Anomalies (VNP14) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 750 meter resolution from the VIIRS sensor located on the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. This product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events as well as identifying thermal anomalies. The VNP14 product includes 31 science dataset layers to analyze key factors in fire detection, including atmospheric conditions (e.g., atmospheric reflectance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VNP14 product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes. In addition to the fire mask, brightness temperature is provided for VIIRS channels M5, M7, M11, M13, M15, and M16. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VNP14 product is also used to generate higher-level fire data products. Use of the (VNP03MODLL) (https://doi.org/10.5067/viirs/vnp03modll.002) data product is required to apply accurate geolocation information to the VNP14 Science Datasets (SDS). ",
"license": "proprietary"
},
@@ -156801,7 +139225,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099490-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099490-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP15A2H_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP15A2H_001",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 1 data product provides information about the vegetative canopy layer at 500 meter resolution (VNP15A2H). The VIIRS sensor is located aboard the NOAA/NASA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. LAI is an index that quantifies the one-sided leaf area of a canopy, while FPAR is the fraction of incoming solar energy absorbed through photosynthesis at 400 to 700 nanometers. This product is intentionally designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) LAI/FPAR operational algorithm to promote the continuity of the Earth Observation System (EOS) mission. The VNP15A2H product includes six Science Data Set Layers for the analysis of key factors in LAI/FPAR measurements. These include the LAI and FPAR measurements, quality detail for LAI/FPAR, extra quality detail for FPAR, and the standard deviation for LAI and FPAR. Two low resolution browse images are also available for each VNP15A2H granule: LAI and FPAR.",
"license": "proprietary"
},
@@ -156814,7 +139238,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314545-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314545-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP15A2H_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP15A2H_002",
"description": "The Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) Version 2 data product (VNP15A2H) provides information about the vegetative canopy layer at 500 meter resolution. The VIIRS sensor is located aboard the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. LAI is an index that quantifies the one-sided leaf area of a canopy, while FPAR is the fraction of incoming solar energy absorbed through photosynthesis at 400 to 700 nanometers. This product is intentionally designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) LAI/FPAR operational algorithm to promote the continuity of the Earth Observation System (EOS) mission. The VNP15A2H product includes six Science Data Set Layers for the analysis of key factors in LAI/FPAR measurements. These include the LAI and FPAR measurements, quality detail for LAI/FPAR, extra quality detail for FPAR, and the standard deviation for LAI and FPAR. Two low resolution browse images are also available for each VNP15A2H granule: LAI and FPAR.",
"license": "proprietary"
},
@@ -156827,7 +139251,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1442270800-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1442270800-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP21A1D_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP21A1D_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Day Version 1 product (VNP21A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.001) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VNP21A1D product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6 product (MOD21A1D) (https://doi.org/10.5067/MODIS/MOD21A1D.006)) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). VIIRS LST&E products are available 2 months after acquisition due to latency of data inputs. The VNP21A1D product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VNP21A1D granule. ",
"license": "proprietary"
},
@@ -156840,7 +139264,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314555-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314555-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP21A1D_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21A1D_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Day Version 2 product (VNP21A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VNP21A1D product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1D) (https://doi.org/10.5067/MODIS/MOD21A1D.061)) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). VIIRS LST&E products are available 2 months after acquisition due to latency of data inputs. The VNP21A1D product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VNP21A1D granule. ",
"license": "proprietary"
},
@@ -156853,7 +139277,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1442270801-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1442270801-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP21A1N_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP21A1N_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 1 product (VNP21A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.001) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VNP21A1N product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6 product (MOD21A1N) (https://doi.org/10.5067/MODIS/MOD21A1N.006) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). VIIRS LST&E products are available 2 months after acquisition due to latency of data inputs. The VNP21A1N product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VNP21A1N granule. ",
"license": "proprietary"
},
@@ -156866,7 +139290,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314559-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314559-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP21A1N_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21A1N_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 2 product (VNP21A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VNP21A1N product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1N) (https://doi.org/10.5067/MODIS/MOD21A1N.061) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). The VNP21A1N product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VNP21A1N granule. ",
"license": "proprietary"
},
@@ -156879,7 +139303,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1553237573-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1553237573-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP21A2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmQgZW1pc3Npdml0eSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDIxXCIsXCIxXCIsMTQwNzA5OTQ5Myw0N10iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlIGFuZCBlbWlzc2l2aXR5IDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QMjFcIixcIjFcIiwxNDA3MDk5NDkzLDQ3XSJ9/VNP21A2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) 8-day product (VNP21A2) combines the daily (VNP21A1D) (http://doi.org/10.5067/VIIRS/VNP21A1D.001) and (VNP21A1N) (http://doi.org/10.5067/VIIRS/VNP21A1N.001) products over an 8-day compositing period into a single product. The VNP21A2 dataset is an 8-day composite LST&E product at 1 kilometer resolution that uses an algorithm based on a simple-averaging method. The algorithm calculates the average from all the cloud-free VNP21A1D and VNP21A1N daily acquisitions from the 8-day period. Unlike the VNP21A1 datasets where the daytime and nighttime acquisitions are separate products, the VNP21A2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The VNP21A2 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6 product (MOD21A2) (https://doi.org/10.5067/MODIS/MOD21A2.006) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). VIIRS LST&E products are available 2 months after acquisition due to latency of data inputs. The VNP21A2 product contains 11 Science Datasets (SDS): LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VNP21A2 granule. ",
"license": "proprietary"
},
@@ -156892,7 +139316,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314562-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314562-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP21A2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21A2_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) 8-day product (VNP21A2) combines the daily (VNP21A1D) (http://doi.org/10.5067/VIIRS/VNP21A1D.002) and (VNP21A1N) (http://doi.org/10.5067/VIIRS/VNP21A1N.002) products over an 8-day compositing period into a single product. The VNP21A2 dataset is an 8-day composite LST&E product at 1 kilometer resolution that uses an algorithm based on a simple-averaging method. The algorithm calculates the average from all the cloud-free VNP21A1D and VNP21A1N daily acquisitions from the 8-day period. Unlike the VNP21A1 datasets where the daytime and nighttime acquisitions are separate products, the VNP21A2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The VNP21A2 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A2) (https://doi.org/10.5067/MODIS/MOD21A2.061) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). The VNP21A2 product contains 11 Science Datasets (SDS): LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VNP21A2 granule. ",
"license": "proprietary"
},
@@ -156905,7 +139329,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314566-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314566-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP21C1_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21C1_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) Climate Modeling Grid Version 2 product (VNP21C) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VNP21) (https://doi.org/10.5067/VIIRS/VNP21.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VNP21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The 0.05 degree (5600 m) dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). ",
"license": "proprietary"
},
@@ -156918,7 +139342,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314570-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314570-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VNP21C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21C2_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) 8-day Climate Modeling Grid Version 2 product (VNP21C2) combines the daily (VNP21A1D) (http://doi.org/10.5067/VIIRS/VNP21A1D.002) and (VNP21A1N) (http://doi.org/10.5067/VIIRS/VNP21A1N.002) products over an 8-day compositing period into a single product. The VNP21C2 dataset is an 8-day composite LST&E product at 0.05 degree (~5,600 meter) resolution that uses an algorithm based on a simple-averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud-free VNP21A1D and VNP21A1N daily acquisitions from the 8-day period. Unlike the VNP21A1 datasets where the daytime and nighttime acquisitions are separate products, the VNP21C2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). ",
"license": "proprietary"
},
@@ -156931,7 +139355,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314573-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314573-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP21C3_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21C3_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) (https://lpdaac.usgs.gov/dataset_discovery/viirs) Land Surface Temperature and Emissivity (LST&E) monthly Climate Modeling Grid Version 2 product (VNP21C3) provides LST&E by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (~5,600 meter) resolution. The VNP21C3 dataset is a monthly composite LST&E product that uses an algorithm based on a simple averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud free VNP21A1D (http://doi.org/10.5067/VIIRS/VNP21A1D.002) and VNP21A1N (http://doi.org/10.5067/VIIRS/VNP21A1N.002) daily acquisitions from the monthly period. Unlike the VNP21A1 data sets where the daytime and nighttime acquisitions are separate products, the VNP21C3 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf).",
"license": "proprietary"
},
@@ -156957,7 +139381,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099493-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099493-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP21_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP21_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Version 1 swath product (VNP21) is produced daily in 6-minute temporal increments of satellite acquisition. The VNP21 product uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for VIIRS thermal infrared bands M14 (8.55 \u00b5m), M15 (10.76 \u00b5m), and M16 (12 \u00b5m) at a spatial resolution of 750 meters. The VNP21 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6 product (MOD21) (https://doi.org/10.5067/MODIS/MOD21.006) using the same input atmospheric products and algorithmic approach based on the ASTER Temperature Emissivity Separation (TES) technique. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. VIIRS LST&E products are available two months after acquisition due to latency of data inputs. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). Provided in the VNP21 product are layers for LST, quality control, emissivity for bands M14, M15, and M16, LST&E errors, view angle, ASTER Global Emissivity Dataset (GED), Precipitable Water Vapor (PWV), ocean-land mask, latitude, and longitude. A low-resolution browse image for LST is also available for each VNP21 granule. ",
"license": "proprietary"
},
@@ -156970,7 +139394,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314550-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2545314550-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvanBzczEgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgZGFpbHkgbDMgZ2xvYmFsIDFrbSBzaW4gZ3JpZCBkYXkgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVkoxMjFBMURcIixcIjJcIiwyNTQ1MzEwODg3LDI4XSIsInVtbSI6IltcInZpaXJzL2pwc3MxIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgZGF5IHYwMDJcIixcIkxQQ0xPVURcIixcIlZKMTIxQTFEXCIsXCIyXCIsMjU0NTMxMDg4NywyOF0ifQ%3D%3D/VNP21_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGFjdGl2ZSBmaXJlcyA2LW1pbiBsMiBzd2F0aCAzNzVtIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDE0SU1HXCIsXCIyXCIsMjczNDIwMjkxNCwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYWN0aXZlIGZpcmVzIDYtbWluIGwyIHN3YXRoIDM3NW0gdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTRJTUdcIixcIjJcIiwyNzM0MjAyOTE0LDI4XSJ9/VNP21_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Version 2 swath product (VNP21) is produced daily in 6-minute temporal increments of satellite acquisition. The VNP21 product uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for VIIRS thermal infrared bands M14 (8.55 \u00b5m), M15 (10.76 \u00b5m), and M16 (12 \u00b5m) at a spatial resolution of 750 meters. The VNP21 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21) (https://doi.org/10.5067/MODIS/MOD21.061) using the same input atmospheric products and algorithmic approach based on the ASTER Temperature Emissivity Separation (TES) technique. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. VIIRS LST&E products are available two months after acquisition due to latency of data inputs. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). Provided in the VNP21 product are layers for LST, quality control, emissivity for bands M14, M15, and M16, LST&E errors, view angle, ASTER Global Emissivity Dataset (GED), Precipitable Water Vapor (PWV), ocean-land mask, latitude, and longitude. A low-resolution browse image for LST is also available for each VNP21 granule. ",
"license": "proprietary"
},
@@ -156996,7 +139420,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1712040022-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1712040022-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP22C2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP22C2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22C2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 0.05 degree (~5,600 meters) spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22C2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22C2 granule. ",
"license": "proprietary"
},
@@ -157009,7 +139433,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1711966127-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1711966127-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIiwidW1tIjoiW1widmlpcnMvbnBwIGRuYiBicmRmL2FsYmVkbyBxdWFsaXR5IGRhaWx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNETkJBMlwiLFwiMVwiLDE2MzI1NjExNTgsMjddIn0%3D/VNP22Q2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP22Q2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Cover Dynamics data product provides global land surface phenology (GLSP) metrics at yearly intervals. The VNP22Q2 data product is derived from time series of the two-band Enhanced Vegetation Index-2 (EVI2) calculated from VIIRS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR). Vegetation phenology metrics at 500 meter spatial resolution are identified for up to two detected growing cycles per year. Provided in each VNP22Q2 product are 19 Science Dataset (SDS) layers. The product contains six phenological transition dates: onset of greenness increase, onset of greenness maximum, onset of greenness decrease, onset of greenness minimum, dates of mid-greenup, and senescence phases. The product also includes the growing season length. The greenness related metrics consist of EVI2 onset of greenness increase, EVI2 onset of greenness maximum, EVI2 growing season, rate of greenness increase and rate of greenness decrease. The confidence of phenology detection is provided as greenness agreement growing season, proportion of good quality (PGQ) growing season, PGQ onset greenness increase, PGQ onset greenness maximum, PGQ onset greenness decrease, and PGQ onset greenness minimum. The final layer is quality control specifying the overall quality of the product. A low-resolution browse image showing greenup is also available when viewing each VNP22Q2 granule. ",
"license": "proprietary"
},
@@ -157022,7 +139446,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2696214154-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2696214154-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP28C2_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIHZlZ2V0YXRpb24gaW5kaWNlcyBtb250aGx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTNBM1wiLFwiMlwiLDI2MzE4MjgzMDksMjddIiwidW1tIjoiW1widmlpcnMvbnBwIHZlZ2V0YXRpb24gaW5kaWNlcyBtb250aGx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTNBM1wiLFwiMlwiLDI2MzE4MjgzMDksMjddIn0%3D/VNP28C2_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir 8-day Level 3 (L3) Global (VNP28C2) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The VNP28C2 data product provides an 8-day time series of surface area, elevation, and water storage. Datasets are combined with pre-established Area-Elevation (A-E) curves and image classifications of near-infrared (NIR) reflectance from the surface reflectance product acquired by the VIIRS satellite (VNP09H1). The VNP28C2 data product consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, and water storage capacity. ",
"license": "proprietary"
},
@@ -157035,7 +139459,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2695625822-LPCLOUD.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695625822-LPCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGxhbmQgc3VyZmFjZSB0ZW1wZXJhdHVyZS9lbWlzc2l2aXR5IDgtZGF5IGwzIGdsb2JhbCAwLjA1ZGVnIGNtZyB2MDAyXCIsXCJMUENMT1VEXCIsXCJWTlAyMUMyXCIsXCIyXCIsMjU0NTMxNDU3MCwzMV0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgbGFuZCBzdXJmYWNlIHRlbXBlcmF0dXJlL2VtaXNzaXZpdHkgOC1kYXkgbDMgZ2xvYmFsIDAuMDVkZWcgY21nIHYwMDJcIixcIkxQQ0xPVURcIixcIlZOUDIxQzJcIixcIjJcIiwyNTQ1MzE0NTcwLDMxXSJ9/VNP28C3_002",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIHZlZ2V0YXRpb24gaW5kaWNlcyBtb250aGx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTNBM1wiLFwiMlwiLDI2MzE4MjgzMDksMjddIiwidW1tIjoiW1widmlpcnMvbnBwIHZlZ2V0YXRpb24gaW5kaWNlcyBtb250aGx5IGwzIGdsb2JhbCAxa20gc2luIGdyaWQgdjAwMlwiLFwiTFBDTE9VRFwiLFwiVk5QMTNBM1wiLFwiMlwiLDI2MzE4MjgzMDksMjddIn0%3D/VNP28C3_002",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir Product Monthly Level 3 (L3) Global (VNP28C3) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The VNP28C3 data product is a composite of the 8-day area classifications from VNP28C2 which is converted to provide monthly elevation and water storage. The Lake Temperature and Evaporation Model (LTEM) with input from VIIRS Land Surface Temperature and Emissivity (VNP21A2) and meteorological data from Global Land Data Assimilation System (GLDAS) are used to produce monthly evaporation rates and volume losses. The VNP28C3 data product provides a monthly time series that consists of a single layer with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, water storage capacity, evaporation rate, and evaporation volume. ",
"license": "proprietary"
},
@@ -157048,7 +139472,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2330746902-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2330746902-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP29P1D_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP29P1D_2",
"description": "This data set reports sea ice cover/extent derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes sea ice cover using Normalized Difference Snow Index (NDSI). VIIRS flies on board the Suomi National Polar-orbiting Partnership (NPP) satellite.",
"license": "proprietary"
},
@@ -157061,7 +139485,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1427776916-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1427776916-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP29_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP29_1",
"description": "This data set reports the location of sea ice cover derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, Sea Ice is detected using the Normalized Difference Snow Index. The VIIRS instrument flies onboard the Suomi National Polar-orbiting Partnership (NPP) satellite.",
"license": "proprietary"
},
@@ -157074,7 +139498,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2330741502-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2330741502-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP29_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP29_2",
"description": "This data set reports the location of sea ice cover derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (NPP) satellite. Following the approach used by MODIS, Sea Ice is detected using the Normalized Difference Snow Index.",
"license": "proprietary"
},
@@ -157100,7 +139524,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317045292-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317045292-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VNP30P1D_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP30P1D_2",
"description": "This data set estimates of sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique. VIIRS flies on board the Suomi National Polar-orbiting Partnership (NPP) satellite.",
"license": "proprietary"
},
@@ -157113,7 +139537,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317046415-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317046415-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/VNP30P1N_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP30P1N_2",
"description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique. VIIRS flies on board the Suomi National Polar-orbiting Partnership (NPP) satellite.",
"license": "proprietary"
},
@@ -157126,7 +139550,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1369683455-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1369683455-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VNP30_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIiwidW1tIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBwYXJhbWV0ZXJzIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19QQVJBTVwiLFwiMVwiLDE1MzkwNjMwNzAsOTNdIn0%3D/VNP30_1",
"description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique. VIIRS flies on board the Suomi National Polar-orbiting Partnership (NPP) satellite.",
"license": "proprietary"
},
@@ -157139,7 +139563,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2317043970-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2317043970-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBhY3RpdmUgcGFzc2l2ZSAoc21hcCkgbDQgY2FyYm9uIGFuY2lsbGFyeSBzdXJmYWNlIG1ldGVvcm9sb2dpY2FsIGZvcmNpbmcgZGF0YSB2MDAxXCIsXCJOU0lEQ19FQ1NcIixcIlNNQVBfTDRfQ19BTkNfTUVUXCIsXCIxXCIsMTUzOTA1NzM1Nyw5MV0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGFjdGl2ZSBwYXNzaXZlIChzbWFwKSBsNCBjYXJib24gYW5jaWxsYXJ5IHN1cmZhY2UgbWV0ZW9yb2xvZ2ljYWwgZm9yY2luZyBkYXRhIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiU01BUF9MNF9DX0FOQ19NRVRcIixcIjFcIiwxNTM5MDU3MzU3LDkxXSJ9/VNP30_2",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/VNP30_2",
"description": "This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (NPP) satellite. Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique.",
"license": "proprietary"
},
@@ -157165,7 +139589,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1629256929-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1629256929-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43C1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43C1_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters Daily Global 0.05 Degree Climate Modeling Grid (CMG) Version 1 product (VNP43C1) is derived from the 30 arc second CMG VNP43D Version 1 product suite. VNP43C1 is generated daily from all available high-quality reflectance data over a 16-day moving window emphasizing the ninth day of the retrieval period, which is reflected in the Julian date in the filename. VNP43C1 supplies the weighting parameters associated with the RossThick/Li-Sparse-Reciprocal BRDF model that best describes the anisotropy of each pixel, which is used to produce the VNP43C3 Albedo and VNP43C4 Nadir BRDF-Adjusted Reflectance (NBAR) products. The highest quality full inversion values are used for the temporal fitting effort and supplemented with lower quality pixels, spatial fitting, and spatial smoothing as needed. The status of each pixel can be found in the ancillary layers. Users are encouraged to assess the quality information before using the BRDF/Albedo data. This 0.05 degree (5,600 meters at the equator) CMG product covers the entire globe for use in climate simulation models. The VNP43C1 product includes 39 layers containing the three parameters (fiso, fvol, and fgeo) for the VIIRS Day/Night band (DNB), moderate resolution bands M1 through M5, M7, M8, M10, and M11, as well as the shortwave band, visible band, and near-infrared (NIR) broadbands. Along with the parameter data for the 13 bands are five ancillary layers for uncertainty, quality, local solar noon, percent finer resolution inputs, and snow cover. A low-resolution browse is also provided showing BRDF/Albedo parameters for bands M5, M4, and M3 as a red, green, blue (RGB) image in JPEG format. ",
"license": "proprietary"
},
@@ -157178,7 +139602,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1629257065-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1629257065-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43C2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43C2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Snow-free Model Parameters Daily Global 0.05 Degree Climate Modeling Grid (CMG) Version 1 product (VNP43C2) is derived from the 30 arc second CMG VNP43D Version 1 product suite. VNP43C2 is generated daily from all available snow-free acquisitions over a 16-day moving window emphasizing the ninth day of the retrieval period, which is reflected in the Julian date in the filename. VNP43C2 supplies the weighting parameters associated with the RossThick/Li-Sparse-Reciprocal BRDF model, which is used to produce the VNP43C3 Albedo and VNP43C4 Nadir BRDF-Adjusted Reflectance (NBAR) products. The highest quality full inversion values are used for the temporal fitting effort and supplemented with lower quality pixels, spatial fitting, and spatial smoothing as needed. The status of each pixel can be found in the ancillary layers. Users are encouraged to assess the quality information before using the BRDF/Albedo data. This 0.05 degree (5,600 meters at the equator) CMG product covers the entire globe for use in climate simulation models. The VNP43C2 product includes 39 layers containing the three parameters (fiso, fvol, and fgeo) for the VIIRS Day/Night band (DNB), moderate resolution bands M1 through M5, M7, M8, M10, and M11, as well as the shortwave band, visible band, and near-infrared (NIR) broadbands. Along with the parameter data for the 13 bands are four ancillary layers for uncertainty, quality, local solar noon, and percent finer resolution inputs. ",
"license": "proprietary"
},
@@ -157191,7 +139615,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1629257541-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1629257541-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VNP43C3_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43C3_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Albedo Daily Global 0.05 Degree Climate Modeling Grid (CMG) Version 1 product (VNP43C3) is derived from the 30 arc second CMG VNP43D Version 1 product suite. VNP43C3 is generated daily from all available high-quality reflectance data over a 16-day moving window emphasizing the ninth day of the retrieval period, which is reflected in the Julian date in the filename. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43C1 to compute white-sky albedos and the black-sky albedos at local solar noon for the VIIRS Day/Night band (DNB), moderate resolution bands M1 through M5, M7, M8, M10, and M11, as well as the shortwave band, visible band, and near-infrared (NIR) broadbands. The quality and inversion status of the majority of the underlying 30 arc second pixels is provided as well as the percentage of the underlying pixels that were present or were snow covered. Users are encouraged to assess the quality information before using the BRDF/Albedo data. This 0.05 degree (5,600 meters at the equator) CMG product covers the entire globe for use in climate simulation models. The VNP43C3 product includes 26 layers containing white-sky albedos and the black-sky albedos for the VIIRS DNB, moderate resolution bands M1 through M5, M7, M8, M10, and M11, as well as the shortwave band, visible band, and NIR broadbands. Along with the albedo data for the 13 bands are five ancillary layers for uncertainty, quality, local solar noon, percent finer resolution inputs, and snow cover. A low-resolution image is also available showing retrievals of WSA for the shortwave broadband in JPEG format. ",
"license": "proprietary"
},
@@ -157204,7 +139628,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1629258322-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1629258322-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43C4_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43C4_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance Daily Global 0.05 Degree Climate Modeling Grid (CMG) Version 1 product (VNP43C4) is derived from the 30 arc second CMG VNP43D Version 1 product suite. VNP43C3 is generated daily from all available high-quality reflectance data over a 16-day moving window emphasizing the ninth day of the retrieval period, which is reflected in the Julian date in the filename. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43C1 to compute NBAR values for the VIIRS Day/Night band (DNB), and moderate resolution bands M1 through M5, M7, M8, M10, and M11. The algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. The quality and inversion status of the majority of the underlying 30 arc second pixels is provided as well as the percentage of the underlying pixels that were present or were snow covered. Users are encouraged to assess the quality information before using the BRDF/Albedo data. This 0.05 degree (5,600 meters at the equator) CMG product covers the entire globe for use in climate simulation models. The VNP43C3 product includes 10 layers containing NBAR values for VIIRS DNB and moderate resolution bands M1 through M5, M7, M8, M10, and M11. Along with the NBAR data for the 10 bands are five ancillary layers for uncertainty, quality, local solar noon, percent finer resolution inputs, and snow cover. A low-resolution browse image is also available showing NBAR bands M5, M4, and M3 as a red, green, blue (RGB) image in JPEG format. ",
"license": "proprietary"
},
@@ -157217,7 +139641,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607221735-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607221735-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D01_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D01_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M1 product (VNP43D01) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1(https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D01 is the BRDF isotropic parameter for VIIRS band M1 (0.412 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M1.",
"license": "proprietary"
},
@@ -157230,7 +139654,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315042-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315042-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D02_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D02_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M1 product (VNP43D02) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D02 is the BRDF volumetric parameter for VIIRS band M1 (0.412 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M1.",
"license": "proprietary"
},
@@ -157243,7 +139667,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315142-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315142-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D03_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D03_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M1 product (VNP43D03) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D03 is the BRDF geometric parameter for VIIRS band M1 (0.412 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M1.",
"license": "proprietary"
},
@@ -157256,7 +139680,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315263-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315263-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D04_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D04_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M2 product (VNP43D04) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D04 is the BRDF isotropic parameter for VIIRS band M2 (0.445 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M2. ",
"license": "proprietary"
},
@@ -157269,7 +139693,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315366-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315366-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D05_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D05_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M2 product (VNP43D05) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D05 is the BRDF volumetric parameter for VIIRS band M2 (0.445 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M2. ",
"license": "proprietary"
},
@@ -157282,7 +139706,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315494-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315494-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D06_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D06_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M2 product (VNP43D06) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D06 is the BRDF geometric parameter for VIIRS band M2 (0.445 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M2. ",
"license": "proprietary"
},
@@ -157295,7 +139719,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315527-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315527-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D07_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D07_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M3 product (VNP43D07) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D07 is the BRDF isotropic parameter for VIIRS band M3 (0.488 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M3. ",
"license": "proprietary"
},
@@ -157308,7 +139732,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315592-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315592-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D08_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D08_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M3 product (VNP43D08) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document [ATBD). VNP43D08 is the BRDF volumetric parameter for VIIRS band M3 (0.488 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M3.",
"license": "proprietary"
},
@@ -157321,7 +139745,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315639-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315639-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D09_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D09_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M3 product (VNP43D09) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D09 is the BRDF geometric parameter for VIIRS band M3 (0.488 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M3. ",
"license": "proprietary"
},
@@ -157334,7 +139758,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315674-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315674-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D10_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D10_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M4 product (VNP43D10) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D10 is the BRDF isotropic parameter for VIIRS band M4 (0.555 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M4. ",
"license": "proprietary"
},
@@ -157347,7 +139771,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315698-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607315698-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D11_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D11_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M4 product (VNP43D11) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D11 is the BRDF volumetric parameter for VIIRS band M4 (0.555 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M4.",
"license": "proprietary"
},
@@ -157360,7 +139784,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607316266-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607316266-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D12_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D12_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M4 product (VNP43D12) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D12 is the BRDF geometric parameter for VIIRS band M4 (0.555 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M4. ",
"license": "proprietary"
},
@@ -157373,7 +139797,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607316520-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607316520-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D13_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D13_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M5 product (VNP43D13) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D13 is the BRDF isotropic parameter for VIIRS band M5 (0.672 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M5. ",
"license": "proprietary"
},
@@ -157386,7 +139810,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607316799-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607316799-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D14_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D14_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M5 product (VNP43D14) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D14 is the BRDF volumetric parameter for VIIRS band M5 (0.672 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M5.",
"license": "proprietary"
},
@@ -157399,7 +139823,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607317131-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607317131-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D15_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D15_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M5 product (VNP43D15) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D15 is the BRDF geometric parameter for VIIRS band M5 (0.672 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M5.",
"license": "proprietary"
},
@@ -157412,7 +139836,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607318524-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607318524-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D16_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D16_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M7 product (VNP43D16) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D16 is the BRDF isotropic parameter for VIIRS band M7 (0.865 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M7. ",
"license": "proprietary"
},
@@ -157425,7 +139849,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607318775-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607318775-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D17_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D17_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M7 product (VNP43D17) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D17 is the BRDF volumetric parameter for VIIRS band M7 (0.865 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M7. ",
"license": "proprietary"
},
@@ -157438,7 +139862,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607318934-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607318934-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D18_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D18_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M7 product (VNP43D18) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D18 is the BRDF geometric parameter for VIIRS band M7 (0.865 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M7. ",
"license": "proprietary"
},
@@ -157451,7 +139875,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319156-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319156-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D19_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D19_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M8 product (VNP43D19) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D19 is the BRDF isotropic parameter for VIIRS band M8 (1.240 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M8. ",
"license": "proprietary"
},
@@ -157464,7 +139888,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319265-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319265-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D20_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D20_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M8 product (VNP43D20) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D20 is the BRDF volumetric parameter for VIIRS band M8 (1.240 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M8. ",
"license": "proprietary"
},
@@ -157477,7 +139901,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319341-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319341-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D21_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D21_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M8 product (VNP43D21) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D21 is the BRDF geometric parameter for VIIRS band M8 (1.240 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M8. ",
"license": "proprietary"
},
@@ -157490,7 +139914,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319544-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607319544-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D22_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D22_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M10 product (VNP43D22) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D22 is the BRDF isotropic parameter for VIIRS band M10 (1.61 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M10.",
"license": "proprietary"
},
@@ -157503,7 +139927,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607325719-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607325719-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D23_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D23_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M10 product (VNP43D23) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D23 is the BRDF volumetric parameter for VIIRS band M10 (1.61 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M10. ",
"license": "proprietary"
},
@@ -157516,7 +139940,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607325920-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607325920-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D24_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D24_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M10 product (VNP43D24) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D24 is the BRDF geometric parameter for VIIRS band M10 (1.61 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M10. ",
"license": "proprietary"
},
@@ -157529,7 +139953,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326047-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326047-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D25_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D25_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M11 product (VNP43D25) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D25 is the BRDF isotropic parameter for VIIRS band M11 (2.25 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M11.",
"license": "proprietary"
},
@@ -157542,7 +139966,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326352-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326352-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D26_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D26_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M11 product (VNP43D26) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document [ATBD). VNP43D26 is the BRDF volumetric parameter for VIIRS band M11 (2.25 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M11.",
"license": "proprietary"
},
@@ -157555,7 +139979,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326500-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326500-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D27_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D27_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M11 product (VNP43D27) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D27 is the BRDF geometric parameter for VIIRS band M11 (2.25 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M11. ",
"license": "proprietary"
},
@@ -157568,7 +139992,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326632-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326632-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D28_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D28_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 VIS product (VNP43D28) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible (VIS), near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D28 is the BRDF isotropic parameter for the VIIRS visible broadband (0.64 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS visible broadband. ",
"license": "proprietary"
},
@@ -157581,7 +140005,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326834-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326834-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D29_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D29_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 VIS product (VNP43D29) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible (VIS), near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D29 is the BRDF volumetric parameter for the VIIRS visible broadband (0.64 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS visible broadband. ",
"license": "proprietary"
},
@@ -157594,7 +140018,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326974-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607326974-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D30_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D30_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 VIS product (VNP43D30) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible (VIS), near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D30 is the BRDF geometric parameter for the VIIRS visible broadband (0.64 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for the VIIRS visible broadband.",
"license": "proprietary"
},
@@ -157607,7 +140031,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327301-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327301-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D31_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D31_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 NIR product (VNP43D31) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D31 is the BRDF isotropic parameter for the VIIRS NIR broadband (0.865 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS NIR broadband. ",
"license": "proprietary"
},
@@ -157620,7 +140044,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327355-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327355-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D32_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D32_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 NIR product (VNP43D32) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D32 is the BRDF volumetric parameter for the VIIRS NIR broadband (0.865 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS NIR broadband. ",
"license": "proprietary"
},
@@ -157633,7 +140057,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327485-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327485-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D33_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D33_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 NIR product (VNP43D33) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D33 is the BRDF geometric parameter for the VIIRS NIR broadband (0.865 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for the VIIRS NIR broadband. ",
"license": "proprietary"
},
@@ -157646,7 +140070,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327545-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327545-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D34_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D34_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Shortwave product (VNP43D34) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D34 is the BRDF isotropic parameter for the VIIRS shortwave broadband (1.61 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS shortwave broadband. ",
"license": "proprietary"
},
@@ -157659,7 +140083,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327612-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327612-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D35_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D35_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Shortwave product (VNP43D35) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D35 is the BRDF volumetric parameter for VIIRS shortwave broadband (1.61 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS shortwave broadband.",
"license": "proprietary"
},
@@ -157672,7 +140096,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327731-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327731-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D36_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D36_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Shortwave product (VNP43D36) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D36 is the BRDF geometric parameter for VIIRS shortwave broadband (1.61 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for the VIIRS shortwave broadband. ",
"license": "proprietary"
},
@@ -157685,7 +140109,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327798-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327798-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D37_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D37_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Day/Night Band (DNB) product (VNP43D37) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D37 is the BRDF isotropic parameter for the VIIRS DNB (0.7 \u03bcm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS DNB.",
"license": "proprietary"
},
@@ -157698,7 +140122,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327867-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327867-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAxIHZpcyBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QyOFwiLFwiMVwiLDE2MDczMjY2MzIsMjldIn0%3D/VNP43D38_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D38_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Day/Night Band (DNB) product (VNP43D38) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D38 is the BRDF volumetric parameter for the VIIRS DNB (0.7 \u03bcm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS DNB. ",
"license": "proprietary"
},
@@ -157711,7 +140135,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327972-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607327972-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D39_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAyIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDI2XCIsXCIxXCIsMTYwNzMyNjM1MiwyOF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gcGFyYW1ldGVyIDIgYmFuZCBtMTEgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMjZcIixcIjFcIiwxNjA3MzI2MzUyLDI4XSJ9/VNP43D39_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Day-Night Band (DNB) product (VNP43D39) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA1 (https://doi.org/10.5067/VIIRS/VNP43MA1.001) product is stored in a separate file as VNP43D01 through VNP43D36. In addition to the bands included in VNP43MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VNP43D37 through VNP43D39. Details regarding methodology are available on the VNP43MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D39 is the BRDF geometric parameter for the VIIRS DNB (0.7 \u03bcm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for the VIIRS DNB. ",
"license": "proprietary"
},
@@ -157724,7 +140148,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607328149-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607328149-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D40_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D40_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Quality product (VNP43D40) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D40 consists of BRDF/Albedo quality information representing the overall quality of each pixel for VIIRS moderate resolution bands M1 through M5, M7, M8, M10, M11, and DNB.",
"license": "proprietary"
},
@@ -157737,7 +140161,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607329254-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607329254-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D41_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D41_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Local Solar Noon product (VNP43D41) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D41 contains the local solar zenith angle at the local solar noon of the representative pixel for the retrieval period. ",
"license": "proprietary"
},
@@ -157750,7 +140174,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607329969-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607329969-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D42_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D42_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M1 product (VNP43D42) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D42 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M1.",
"license": "proprietary"
},
@@ -157763,7 +140187,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607330112-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607330112-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D43_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D43_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M2 product (VNP43D43) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D43 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M2.",
"license": "proprietary"
},
@@ -157776,7 +140200,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607330208-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607330208-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D44_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D44_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M3 product (VNP43D44) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D44 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M3.",
"license": "proprietary"
},
@@ -157789,7 +140213,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607330267-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607330267-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D45_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D45_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M4 product (VNP43D45) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D45 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M4.",
"license": "proprietary"
},
@@ -157802,7 +140226,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332049-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332049-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D46_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D46_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M5 product (VNP43D46) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the[VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D46 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M5.",
"license": "proprietary"
},
@@ -157815,7 +140239,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332141-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332141-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D47_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D47_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M7 product (VNP43D47) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D47 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M7.",
"license": "proprietary"
},
@@ -157828,7 +140252,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332267-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332267-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D48_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D48_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M8 product (VNP43D48) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D48 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M8.",
"license": "proprietary"
},
@@ -157841,7 +140265,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332409-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332409-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D49_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D49_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M10 product (VNP43D49) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D49 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M10.",
"license": "proprietary"
},
@@ -157854,7 +140278,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332549-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332549-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D50_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D50_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M11 product (VNP43D50) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D50 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M11.",
"license": "proprietary"
},
@@ -157867,7 +140291,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332800-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332800-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D51_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D51_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Day/Night Band (DNB) product (VNP43D51) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D51 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS DNB.",
"license": "proprietary"
},
@@ -157880,7 +140304,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332875-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332875-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D52_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D52_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Snow Status product (VNP43D52) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D52 contains the snow status quality layer, which identifies each pixel as either \u201cSnow-free Albedo Retrieved\u201d or \u201cSnow Albedo Retrieved\u201d for the acquisition period. ",
"license": "proprietary"
},
@@ -157893,7 +140317,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332913-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332913-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43D53_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D53_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Uncertainty product (VNP43D53) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the VNP43MA2 (https://doi.org/10.5067/VIIRS/VNP43MA2.001) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VNP43MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D53 contains the uncertainty range of each BRDF/Albedo pixel for the retrieval period. ",
"license": "proprietary"
},
@@ -157906,7 +140330,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332961-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332961-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VNP43D54_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43D54_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M1 (VNP43D54) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D54 is the BSA for VIIRS band M1 (0.412 \u03bcm). ",
"license": "proprietary"
},
@@ -157919,7 +140343,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332989-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607332989-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D55_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43D55_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M2 (VNP43D55) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D55 is the BSA for VIIRS band M2 (0.445 \u03bcm). ",
"license": "proprietary"
},
@@ -157932,7 +140356,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607333589-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607333589-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D56_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43D56_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M3 (VNP43D56) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D56 is the BSA for VIIRS band M3 (0.488 \u03bcm). ",
"license": "proprietary"
},
@@ -157945,7 +140369,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607333961-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607333961-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D57_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43D57_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M4 (VNP43D57) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D57 is the BSA for VIIRS band M4 (0.555 \u03bcm). ",
"license": "proprietary"
},
@@ -157958,7 +140382,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607333988-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607333988-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D58_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D58_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M5 (VNP43D58) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D58 is the BSA for VIIRS band M5 (0.672 \u03bcm). ",
"license": "proprietary"
},
@@ -157971,7 +140395,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607335247-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607335247-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D59_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D59_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M7 (VNP43D59) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D59 is the BSA for VIIRS band M7 (0.865 \u03bcm). ",
"license": "proprietary"
},
@@ -157984,7 +140408,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607335278-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607335278-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D60_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D60_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M8 (VNP43D60) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D60 is the BSA for VIIRS band M8 (1.240 \u03bcm). ",
"license": "proprietary"
},
@@ -157997,7 +140421,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336236-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336236-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VNP43D61_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43D61_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M10 (VNP43D61) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D61 is the BSA for VIIRS band M10 (1.61 \u03bcm). ",
"license": "proprietary"
},
@@ -158010,7 +140434,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336254-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336254-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VNP43D62_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43D62_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M11 (VNP43D62) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D62 is the BSA for VIIRS band M11 (2.25 \u03bcm). ",
"license": "proprietary"
},
@@ -158023,7 +140447,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336273-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336273-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D63_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D63_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band VIS (VNP43D63) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible (VIS), near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D63 is the BSA for the VIIRS visible broadband (0.64 \u03bcm). ",
"license": "proprietary"
},
@@ -158036,7 +140460,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336296-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607336296-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D64_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D64_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for NIR (VNP43D64) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D64 is the BSA for the VIIRS NIR broadband (0.865 \u03bcm). ",
"license": "proprietary"
},
@@ -158049,7 +140473,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607337482-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607337482-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D65_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D65_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for ShortWave (VNP43D65) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D65 is the BSA for the VIIRS shortwave broadband (1.61 \u03bcm).",
"license": "proprietary"
},
@@ -158062,7 +140486,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607338680-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607338680-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D66_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D66_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for DNB (VNP43D66) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D66 is the BSA for the VIIRS DNB (0.7 \u03bcm).",
"license": "proprietary"
},
@@ -158075,7 +140499,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607338905-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607338905-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D67_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43D67_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M1 (VNP43D67) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D67 is the WSA for VIIRS band M1 (0.412 \u03bcm). ",
"license": "proprietary"
},
@@ -158088,7 +140512,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607340690-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607340690-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D68_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D68_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M2 (VNP43D68) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D68 is the WSA for VIIRS band M2 (0.445 \u03bcm). ",
"license": "proprietary"
},
@@ -158101,7 +140525,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607340850-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607340850-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D69_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D69_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M3 (VNP43D69) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D69 is the WSA for VIIRS band M3 (0.488 \u03bcm). ",
"license": "proprietary"
},
@@ -158114,7 +140538,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607341867-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607341867-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D70_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D70_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M4 (VNP43D70) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D70 is the WSA for VIIRS band M4 (0.555 \u03bcm). ",
"license": "proprietary"
},
@@ -158127,7 +140551,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607343154-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607343154-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D71_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D71_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M5 (VNP43D71) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D71 is the WSA for VIIRS band M5 (0.672 \u03bcm). ",
"license": "proprietary"
},
@@ -158140,7 +140564,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607343322-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607343322-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D72_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D72_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M7 (VNP43D72) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D72 is the WSA for VIIRS band M7 (0.865 \u03bcm). ",
"license": "proprietary"
},
@@ -158153,7 +140577,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607344635-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607344635-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D73_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D73_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M8 (VNP43D73) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D73 is the WSA for VIIRS band M8 (1.240 \u03bcm). ",
"license": "proprietary"
},
@@ -158166,7 +140590,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607345654-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607345654-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D74_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D74_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M10 (VNP43D74) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D74 is the WSA for VIIRS band M10 (1.61 \u03bcm). ",
"license": "proprietary"
},
@@ -158179,7 +140603,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607345704-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607345704-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D75_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D75_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M11 (VNP43D75) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D75 is the WSA for VIIRS band M11 (2.25 \u03bcm). ",
"license": "proprietary"
},
@@ -158192,7 +140616,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607346932-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607346932-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D76_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D76_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band VIS (VNP43D76) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible (VIS), near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D76 is the WSA for the VIIRS visible broadband (0.64 \u03bcm). ",
"license": "proprietary"
},
@@ -158205,7 +140629,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607351143-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607351143-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D77_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D77_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band NIR (VNP43D77) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D77 is the WSA for the VIIRS NIR broadband (0.865 \u03bcm).",
"license": "proprietary"
},
@@ -158218,7 +140642,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607351940-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607351940-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D78_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D78_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for ShortWave (VNP43D78) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D78 is the WSA for the VIIRS shortwave broadband (1.61 \u03bcm).",
"license": "proprietary"
},
@@ -158231,7 +140655,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607352312-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607352312-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43D79_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43D79_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for DNB (VNP43D79) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D54 through VNP43D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VNP43MA3 (https://doi.org/10.5067/VIIRS/VNP43MA3.001) product. In addition to the bands included in VNP43MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VNP43MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D79 is the WSA for the VIIRS DNB (0.7 \u03bcm). ",
"license": "proprietary"
},
@@ -158244,7 +140668,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607353742-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607353742-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D80_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D80_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M1 (VNP43D80) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D80 is the NBAR for VIIRS band M1 (0.412 \u03bcm). ",
"license": "proprietary"
},
@@ -158257,7 +140681,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607356177-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607356177-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D81_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D81_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M2 (VNP43D81) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D81 is the NBAR for VIIRS band M2 (0.445 \u03bcm). ",
"license": "proprietary"
},
@@ -158270,7 +140694,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607356370-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607356370-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D82_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D82_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M3 (VNP43D82) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D82 is the NBAR for VIIRS band M3 (0.488 \u03bcm). ",
"license": "proprietary"
},
@@ -158283,7 +140707,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607356560-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607356560-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D83_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D83_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M4 (VNP43D83) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D83 is the NBAR for VIIRS band M4 (0.555 \u03bcm). ",
"license": "proprietary"
},
@@ -158296,7 +140720,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607357171-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607357171-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D84_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D84_001",
"description": "The NASA/ NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M5 (VNP43D84) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D84 is the NBAR for VIIRS band M5 (0.672 \u03bcm). ",
"license": "proprietary"
},
@@ -158309,7 +140733,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607357250-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607357250-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D85_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D85_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M7 (VNP43D85) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D85 is the NBAR for VIIRS band M7 (0.865 \u03bcm). ",
"license": "proprietary"
},
@@ -158322,7 +140746,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607357378-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607357378-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D86_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D86_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M8 (VNP43D86) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D86 is the NBAR for VIIRS band M8 (1.240 \u03bcm). ",
"license": "proprietary"
},
@@ -158335,7 +140759,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607358343-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607358343-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D87_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D87_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M10 (VNP43D87) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D87 is the NBAR for VIIRS band M10 (1.61 \u03bcm). ",
"license": "proprietary"
},
@@ -158348,7 +140772,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607358651-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607358651-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43D88_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43D88_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for Band M11 (VNP43D88) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D88 is the NBAR for VIIRS band M11 (2.25 \u03bcm). ",
"license": "proprietary"
},
@@ -158361,7 +140785,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1607364966-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1607364966-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDg4XCIsXCIxXCIsMTYwNzM1ODY1MSwzMF0iLCJ1bW0iOiJbXCJ2aWlycy9ucHAgYnJkZi9hbGJlZG8gbmJhciBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODhcIixcIjFcIiwxNjA3MzU4NjUxLDMwXSJ9/VNP43D89_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIG5iYXIgYXQgc29sYXIgbm9vbiBiYW5kIG00IGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEODNcIixcIjFcIiwxNjA3MzU2NTYwLDI5XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBuYmFyIGF0IHNvbGFyIG5vb24gYmFuZCBtNCBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDgzXCIsXCIxXCIsMTYwNzM1NjU2MCwyOV0ifQ%3D%3D/VNP43D89_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Nadir BRDF-Adjusted Reflectance (NBAR) for DNB (VNP43D89) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer. VNP43D80 through VNP43D89 are the NBAR products of the VNP43D BRDF/Albedo product suite. NBAR values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) included in the VNP43MA4 (https://doi.org/10.5067/VIIRS/VNP43MA4.001) product. In addition to the bands included in VNP43MA4, this product suite includes NBAR values for the VIIRS Day/Night Band (DNB). The NBAR algorithm removes view angle effects from directional reflectances to model the values as if they were collected from a nadir view at local solar noon. Details regarding methodology are available on the VNP43MA4 product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D89 is the NBAR for VIIRS DNB (0.7 \u03bcm). ",
"license": "proprietary"
},
@@ -158374,7 +140798,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1632560913-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1632560913-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43DNBA1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43DNBA1_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VNP43DNBA1) Version 1 product provides BRDF/Albedo model parameters at 1 kilometer (km) resolution. The VNP43DNBA1 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43DNBA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43DNBA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43DNBA3). Researchers can use the BRDF model parameters with a simple polynomial to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43DNBA1 data product provides two SDS layers for mandatory quality and model parameters representing fiso, fvol, and fgeo for the VIIRS DNB. A low-resolution browse is also available showing BRDF/Albedo parameters for the DNB as a red, green, blue (RGB) image in JPEG format.",
"license": "proprietary"
},
@@ -158387,7 +140811,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1632561158-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1632561158-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43DNBA2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43DNBA2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Quality (VNP43DNBA2) Version 1 product provides BRDF and Albedo quality at 1 kilometer (km) resolution. The VNP43DNBA2 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43DNBA2 product gives information regarding band quality and days of valid observation within a 16-day period for the VIIRS DNB. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43DNBA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43DNBA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43DNBA3). Researchers can use the BRDF model parameters with a simple polynomial to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43DNBA2 data product provides a total of seven SDS layers, including BRDF/Albedo band quality and days of valid observation within a 16-day period for the VIIRS DNB, as well as land water type class flag, snow BRDF albedo class flag, local solar noon, and the platform name. ",
"license": "proprietary"
},
@@ -158400,7 +140824,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1632561643-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1632561643-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43DNBA3_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43DNBA3_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (VNP43DNBA3) Version 1 product provides albedo values at 1 kilometer (km) resolution for the bihemispherical reflectance white-sky albedos (WSA) and directional hemispherical reflectance black-sky albedos (BSA) at local solar noon. The VNP43DNBA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43DNBA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43DNBA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43DNBA3). Researchers can use the BRDF model parameters with a simple polynomial to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43DNBA3 product provides BSA, WSA, and mandatory quality layers for the VIIRS DNB. A low-resolution image is also available showing retrievals of WSA for the shortwave broadband in JPEG format.",
"license": "proprietary"
},
@@ -158413,7 +140837,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1632561835-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1632561835-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP43DNBA4_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP43DNBA4_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 1 product provides NBAR estimates at 1 kilometer (km) resolution. The VNP43DNB4 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The view angle effects are removed from the directional reflectances resulting in a stable and consistent NBAR product. The VNP43 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43DNBA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43DNBA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43DNBA3). Researchers can use the BRDF model parameters with a simple polynomial to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43DNBA4 product includes BRDF/Albedo mandatory quality and nadir reflectance for the VIIRS DNB. A low-resolution browse image is also available showing NBAR of the DNB as a red, green, blue (RGB) image in JPEG format. ",
"license": "proprietary"
},
@@ -158439,7 +140863,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099489-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099489-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43IA1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43IA1_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VNP43IA1) Version 1 product provides kernel weights (parameters) at 500 meter (m) resolution. The VNP43IA1 product is produced daily using 16 days of VIIRS data, temporally weighted to the ninth day, which is reflected in the file name. The VNP43IA1 product provides three spectrally dependent kernel weights, also known as model parameters: isotropic (fiso), volumetric (fvol), and geometric (fgeo), which can be used to model anisotropic effects of the Earth\u2019s surface. All VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43IA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43IA4) (https://doi.org/10.5067/VIIRS/VNP43IA4.001), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43IA3) (https://doi.org/10.5067/VIIRS/VNP43IA3.001). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/194/VNP43_ATBD_V1.pdf). The VNP43IA1 data product provides a total of six SDS layers including: mandatory quality bands and three multi-dimensional model parameter bands representing fiso, fvol, and fgeo of the VIIRS imagery bands: I1, I2, and I3. Each data product file is provided in HDF-EOS5 format. A low-resolution browse is also available showing BRDF/Albedo parameters for VIIRS imagery bands: I1, I2, and I1 as an RGB (red, green, blue) image in JPEG format. ",
"license": "proprietary"
},
@@ -158465,7 +140889,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449611-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449611-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43IA2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43IA2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Quality (VNP43IA2) Version 1 product provides BRDF and Albedo quality at 500 meter (m) resolution. The VNP43IA2 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43IA2 product provides information regarding band quality and days of valid observation within a 16-day period for the VIIRS imagery bands. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VNP43IA1) (https://doi.org/10.5067/VIIRS/VNP43IA2.001) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43IA4) (https://doi.org/10.5067/VIIRS/VNP43IA4.001), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43IA3) (https://doi.org/10.5067/VIIRS/VNP43IA3.001). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/194/VNP43_ATBD_V1.pdf). The VNP43IA2 data product provides a total of 11 SDS layers including: BRDF/Albedo band quality (inversion information) and days of valid observation within a 16-day period for VIIRS imagery bands I1, I2, and I3, as well as land water type class flag, snow BRDF albedo class flag, local solar noon, albedo uncertainty and the platform name. ",
"license": "proprietary"
},
@@ -158491,7 +140915,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449608-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449608-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VNP43IA3_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43IA3_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (VNP43IA3) Version 1 product provides albedo values at 500 meter (m) resolution for the bihemispherical reflectance white-sky albedo (WSA) and directional hemispherical reflectance black-sky albedo (BSA) at local solar noon. The VNP43IA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VNP43IA1) (https://doi.org/10.5067/VIIRS/VNP43IA1.001) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43IA4) (https://doi.org/10.5067/VIIRS/VNP43IA4.001), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43IA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/194/VNP43_ATBD_V1.pdf). The VNP43IA3 product provides a total of 9 SDS layers including: BSA, WSA, and mandatory quality layers for VIIRS imagery bands: I1, I2, and I3. A low-resolution browse image is also available showing retrievals of WSA for band I1 in JPEG format.",
"license": "proprietary"
},
@@ -158517,7 +140941,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099497-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099497-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43IA4_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43IA4_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 1 product provides NBAR estimates at 500 meter (m) resolution. The VNP43IA4 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The view angle effects are removed from the directional reflectances, resulting in a stable and consistent NBAR product. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VNP43IA1) (https://doi.org/10.5067/VIIRS/VNP43IA1.001) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43IA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43IA3) (https://doi.org/10.5067/VIIRS/VNP43IA3.001). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/194/VNP43_ATBD_V1.pdf). The VNP43IA4 product includes six SDS layers for BRDF/Albedo mandatory quality and nadir reflectance for VIIRS imagery bands I1, I2, and I3. A low-resolution browse image is also available showing NBAR bands I1, I2, and I1 as an RGB (red, green, blue) image in JPEG format.",
"license": "proprietary"
},
@@ -158543,7 +140967,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449609-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449609-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43MA1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43MA1_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VNP43MA1) Version 1 product provides BRDF/Albedo model parameters at 1 kilometer (km) resolution. The VNP43MA1 product is produced daily using 16-day VIIRS data and is weighted temporally to the 9th day, which is reflected in the file name. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43MA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43MA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43MA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43MA1 data product provides a total of 24 SDS layers including: mandatory quality bands and three multi-dimensional model parameter bands representing fiso, fvol, and fgeo for VIIRS moderate resolution bands: M1-M5, M7-M8, and M10-M11. A low resolution browse is also provided showing BRDF/Albedo parameters for bands I1, I2, I1 as an RGB image in JPEG format. Product Maturity Validation at stage 1 has been achieved for the VIIRS BRDF/Albedo product suite. Visit the VIIRS Land Product Quality Assessment website for additional information on validation and product maturity status.",
"license": "proprietary"
},
@@ -158569,7 +140993,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449612-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449612-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGJhbmQgbTUgZGFpbHkgbDMgZ2xvYmFsIDMwIGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNEMTVcIixcIjFcIiwxNjA3MzE3MTMxLDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBwYXJhbWV0ZXIgMyBiYW5kIG01IGRhaWx5IGwzIGdsb2JhbCAzMCBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDE1XCIsXCIxXCIsMTYwNzMxNzEzMSwyOF0ifQ%3D%3D/VNP43MA2_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHBhcmFtZXRlciAzIGRuYiBkYWlseSBsMyBnbG9iYWwgMzAgYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0QzOVwiLFwiMVwiLDE2MDczMjc5NzIsMjhdIn0%3D/VNP43MA2_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Quality (VNP43MA2) Version 1 product provides BRDF and Albedo quality at 1 kilometer (km) resolution. The VNP43MA2 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43MA2 product gives information regarding band quality and days of valid observation within a 16-day period for nine VIIRS moderate resolution bands and three broadbands. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VNP43MA1) (https://doi.org/10.5067/VIIRS/VNP43MA1.001) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43MA4) (https://doi.org/10.5067/VIIRS/VNP43MA4.001), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43MA3) (https://doi.org/10.5067/VIIRS/VNP43MA3.001). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/194/VNP43_ATBD_V1.pdf). The VNP43MA2 data product provides a total of 23 SDS layers including: BRDF/Albedo band quality and days of valid observation within a 16-day period for VIIRS moderate resolution bands: M1-M5, M7-M8, and M10-M11, as well as land water type class flag, snow BRDF albedo class flag, local solar noon, albedo uncertainty and the platform name. ",
"license": "proprietary"
},
@@ -158595,7 +141019,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099488-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1407099488-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2VkaSBsMWIgZ2VvbG9jYXRlZCB3YXZlZm9ybSBkYXRhIGdsb2JhbCBmb290cHJpbnQgbGV2ZWwgdjAwMlwiLFwiTFBEQUFDX0VDU1wiLFwiR0VESTAxX0JcIixcIjJcIiwxOTA4MzQ0Mjc4LDQwXSIsInVtbSI6IltcImdlZGkgbDFiIGdlb2xvY2F0ZWQgd2F2ZWZvcm0gZGF0YSBnbG9iYWwgZm9vdHByaW50IGxldmVsIHYwMDJcIixcIkxQREFBQ19FQ1NcIixcIkdFREkwMV9CXCIsXCIyXCIsMTkwODM0NDI3OCw0MF0ifQ%3D%3D/VNP43MA3_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIiwidW1tIjoiW1wiZ2xvYmFsIGZvb2Qgc2VjdXJpdHktc3VwcG9ydCBhbmFseXNpcyBkYXRhIChnZnNhZCkgY3JvcGxhbmQgZXh0ZW50LXByb2R1Y3QgMjAxNSB2YWxpZGF0aW9uIDMwIG0gdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiR0ZTQUQzMFZBTFwiLFwiMVwiLDE0MzIwNzg3MTQsNDBdIn0%3D/VNP43MA3_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (VNP43MA3) Version 1 product provides albedo values at 1 kilometer (km) resolution for the bihemispherical reflectance white-sky albedo (WSA) and directional hemispherical reflectance black-sky albedo (BSA) at local solar noon. The VNP43MA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VNP43MA1) (https://doi.org/10.5067/VIIRS/VNP43MA1.001) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43MA4) (https://doi.org/10.5067/VIIRS/VNP43MA4.001), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43MA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/194/VNP43_ATBD_V1.pdf). The VNP43MA3 product provides a total of 36 SDS layers including: BSA, WSA, and mandatory quality layers for nine VIIRS moderate bands: M1-M5, M7-M8, and M10-M11, as well as three broadbands: near-infrared (NIR), shortwave, and visible. A low-resolution image is also available showing retrievals of WSA for band I1 in JPEG format.",
"license": "proprietary"
},
@@ -158621,7 +141045,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449610-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1412449610-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTExIGRhaWx5IGwzIGdsb2JhbCAzMGFyY3NlYyBjbWcgdjAwMVwiLFwiTFBEQUFDX0VDU1wiLFwiVk5QNDNENjJcIixcIjFcIiwxNjA3MzM2MjU0LDI4XSIsInVtbSI6IltcInZpaXJzL25wcCBicmRmL2FsYmVkbyBic2EgYXQgc29sYXIgbm9vbiBiYW5kIG0xMSBkYWlseSBsMyBnbG9iYWwgMzBhcmNzZWMgY21nIHYwMDFcIixcIkxQREFBQ19FQ1NcIixcIlZOUDQzRDYyXCIsXCIxXCIsMTYwNzMzNjI1NCwyOF0ifQ%3D%3D/VNP43MA4_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIGJzYSBhdCBzb2xhciBub29uIGJhbmQgbTQgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q1N1wiLFwiMVwiLDE2MDczMzM5NjEsMjhdIn0%3D/VNP43MA4_001",
"description": "The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 1 product provides NBAR estimates at 1 kilometer (km) resolution. The VNP43IA4 product is produced daily using 16-day VIIRS data and is weighted temporally to the 9th day, which is reflected in the file name. The view angle effects are removed from the directional reflectances resulting in a stable and consistent NBAR product. The VNP43 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product suite to promote the continuity of the Earth Observation System (EOS) mission. The VNP43 data products are designed to promote the continuity of NASA\u2019s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43MA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43MA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43MA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VNP43MA4 product includes 18 SDS layers for BRDF/Albedo mandatory quality and nadir reflectance for VIIRS nine moderate bands M1-M5, M7-M8, and M10-M11. A low resolution browse image is also available showing NBAR bands M5, M7, and M5 as an RGB image in JPEG format. Product Maturity Validation at stage 1 has been achieved for the VIIRS BRDF/Albedo product suite. Visit the VIIRS Land Product Quality Assessment website for additional information on validation and product maturity status.",
"license": "proprietary"
},
@@ -158725,7 +141149,7 @@
"bbox": "-180, -90, 180, 90",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C1632559364-LPDAAC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1632559364-LPDAAC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHZhbGlkIG9ic2VydmF0aW9uIGJhbmQgbTcgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q0N1wiLFwiMVwiLDE2MDczMzIxNDEsMjhdIn0%3D/VNP64A1_001",
+ "href": "https://cmr.earthdata.nasa.gov/stac/LPDAAC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIiwidW1tIjoiW1widmlpcnMvbnBwIGJyZGYvYWxiZWRvIHdzYSBhdCBzb2xhciBub29uIGJhbmQgbTEgZGFpbHkgbDMgZ2xvYmFsIDMwYXJjc2VjIGNtZyB2MDAxXCIsXCJMUERBQUNfRUNTXCIsXCJWTlA0M0Q2N1wiLFwiMVwiLDE2MDczMzg5MDUsMjldIn0%3D/VNP64A1_001",
"description": "The daily NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 1 data product is a monthly, global gridded 500-meter (m) product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750 m VIIRS imagery coupled with 750 m VIIRS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive Vegetation Index (VI) derived from VIIRS shortwave infrared channels M8 and M11, and a measure of temporal texture. VIIRS bands that are both sensitive and insensitive to biomass burning are used to detect changes caused by fire and to differentiate them from other types of change. The mapping algorithm ultimately identifies the date of burn, to the nearest day, for 500 m grid cells within the individual sinusoidal tile being processed. The date is encoded in a single data layer of the output product as the ordinal day of the calendar year on which the burn occurred (range 1\u2013366), with a value of 0 for unburned land pixels and additional values reserved for missing data and water grid cells. The VNP64A1 data product is designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined burned area product to promote the continuity of the Earth Observation System (EOS) mission. VNP64A1 has been released on a limited basis due to concerns over the quality of the data along the edges of inland water bodies and at high latitudes. These regions contain grid cells falsely identified as burned as a result of coarse resolution inputs to the cloud mask used in the generation of the 750 m VIIRS active fire observations. Users are urged to exercise caution when using this provisional (https://landweb.modaps.eosdis.nasa.gov/cgi-bin/NPP_QA/NPPpage.cgi?fileName=maturity&subdir=forPage) data in research. The Version 2 burned area product generated with an improved cloud mask is scheduled for release in the summer of 2020. The data layers provided in the VNP64A1 product include Burn Date, Burn Date Uncertainty, and Quality Assurance (QA), along with First Day and Last Day of reliable change detection of the year. A low resolution browse is also provided showing the burned date layer with a color map applied in JPEG format. Notification: VIIRS/NPP Burned Area Monthly L4 Global 500 m SIN Grid data product has been released on a limited basis due to falsely identified burned areas. ",
"license": "proprietary"
},
@@ -158924,19 +141348,6 @@
"description": "Sea spray aerosol (SSA) impacts the Earth\u2019s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.Sea spray aerosol (SSA) impacts the Earth\u2019s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.",
"license": "proprietary"
},
- {
- "id": "WAF_DEALIASED_SASS_L2_1",
- "title": "SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Wentz et al.)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1978-07-07",
- "end_date": "1978-10-10",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197640-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197640-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Vhc2F0IHNjYXR0ZXJvbWV0ZXIgZGVhbGlhc2VkIG9jZWFuIHdpbmQgdmVjdG9ycyAoYXRsYXMpXCIsXCJQT0NMT1VEXCIsXCJBVExBU19ERUFMSUFTRURfU0FTU19MMlwiLFwiMVwiLDI2MTcxOTc2MjcsNF0iLCJ1bW0iOiJbXCJzZWFzYXQgc2NhdHRlcm9tZXRlciBkZWFsaWFzZWQgb2NlYW4gd2luZCB2ZWN0b3JzIChhdGxhcylcIixcIlBPQ0xPVURcIixcIkFUTEFTX0RFQUxJQVNFRF9TQVNTX0wyXCIsXCIxXCIsMjYxNzE5NzYyNyw0XSJ9/WAF_DEALIASED_SASS_L2_1",
- "description": "Contains Seasat-A Scatterometer (SASS) wind vector measurements for the entire Seasat mission, from July 1978 until October 1978. The data are global and presented chronologically in by swath. Each record contains data binned in 100 km cells. No wind vectors are computed for the cells along the left and right edges of the swath. Wind direction ambiguities are resolved using a global weather prediction model. This complete dataset is the result of the reprocessing efforts on behalf of Frank Wentz, Robert Atlas, and Michael Freilich.",
- "license": "proprietary"
- },
{
"id": "WATVP_D3_VIIRS_SNPP_1",
"title": "VIIRS/SNPP Water Vapor Level-3 daily 0.5 x 0.5 degree grid",
@@ -159093,32 +141504,6 @@
"description": "SRB/GEWEX evapotranspiration (Penman-Monteith) L4 3 hour 0.5 degree x 0.5 degree V1 is a global, 24-year (1984-2007), satellite-derived evapotranspiration over land data set. It is based on the Penman-Monteith model. Evapotranspiration provides the critical link between the water and energy cycles within the Earth system. Better representation of the spatial distribution and temporal development of surface evapotranspiration is needed not only to improve the description of water vapor exchanges for global water budget estimation but also to advance our understanding of the climate system. Input data sets include (1) vegetation index data, i.e., Leaf Area Index (LAI), derived from the Advanced Very High Resolution Radiometer (AVHRR) sensors onboard the NOAA-7, NOAA-9, NOAA-11, NOAA-14, and NOAA-16 satellites and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the EOS-Terra and EOS-Aqua satellites; (2) meteorology data from the latest version of the Princeton University global forcing data sets and from the Variable Infiltration Capacity (VIC) land surface model output; and (3) radiative data from the NASA Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget Project.",
"license": "proprietary"
},
- {
- "id": "WENTZ_NIMBUS-7_SMMR_L2_1",
- "title": "NIMBUS-7 SMMR GLOBAL AIR-SEA PARAMETERS IN SWATH (Wentz)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1979-11-01",
- "end_date": "1984-09-30",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197620-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197620-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wibW9kaXMgdGVycmEgbGV2ZWwgMyBzc3QgdGhlcm1hbCBpciBhbm51YWwgOWttIG5pZ2h0dGltZSB2MjAxOS4wXCIsXCJQT0NMT1VEXCIsXCJNT0RJU19URVJSQV9MM19TU1RfVEhFUk1BTF9BTk5VQUxfOUtNX05JR0hUVElNRV9WMjAxOS4wXCIsXCIyMDE5LjBcIiwyMDM2ODc3OTg5LDEwXSIsInVtbSI6IltcIm1vZGlzIHRlcnJhIGxldmVsIDMgc3N0IHRoZXJtYWwgaXIgYW5udWFsIDlrbSBuaWdodHRpbWUgdjIwMTkuMFwiLFwiUE9DTE9VRFwiLFwiTU9ESVNfVEVSUkFfTDNfU1NUX1RIRVJNQUxfQU5OVUFMXzlLTV9OSUdIVFRJTUVfVjIwMTkuMFwiLFwiMjAxOS4wXCIsMjAzNjg3Nzk4OSwxMF0ifQ%3D%3D/WENTZ_NIMBUS-7_SMMR_L2_1",
- "description": "Contains three parameters: ocean near-surface wind speed, columnar water vapor, and columnar liquid water. Product is produced by Frank Wentz at Remote Sensing Systems using data obtained from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR). Observations within 100 km of land are excluded; ice flags are also utilized. Data is obtained from all 10 individual SMMR channels, which closely correspond to the SMM/I channels and utilizing the same processing algorithms that were used to produce similar products derived from SSM/I observations (see PO.DAAC products 33 and 34).",
- "license": "proprietary"
- },
- {
- "id": "WENTZ_SASS_SIGMA0_L2_1",
- "title": "SEASAT SCATTEROMETER BINNED 50KM SIGMA-0 DATA (Wentz)",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "1978-07-07",
- "end_date": "1978-10-10",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197621-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617197621-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wic2Fzc2llIGFyY3RpYyBmaWVsZCBjYW1wYWlnbiBsMSBzd2lmdCBkYXRhIGZhbGwgMjAyMlwiLFwiUE9DTE9VRFwiLFwiU0FTU0lFX0wxX1NXSUZUX1YxXCIsXCIxXCIsMjU4MDE1MjQwNSwxM10iLCJ1bW0iOiJbXCJzYXNzaWUgYXJjdGljIGZpZWxkIGNhbXBhaWduIGwxIHN3aWZ0IGRhdGEgZmFsbCAyMDIyXCIsXCJQT0NMT1VEXCIsXCJTQVNTSUVfTDFfU1dJRlRfVjFcIixcIjFcIiwyNTgwMTUyNDA1LDEzXSJ9/WENTZ_SASS_SIGMA0_L2_1",
- "description": "Contains Seasat-A Scatterometer (SASS) Sigma-0 measurements for the entire Seasat mission, from July 1978 until October 1978, produced by Frank Wentz at Remote Sensing Systems. The data are presented chronologically by swath and consist of the forward and aft values, binned in 50 km cells. For each cell there are 17 parameters including time, location, incidence angle, sigma-0, instrument corrections, and data quality.",
- "license": "proprietary"
- },
{
"id": "WHITECAPS_0",
"title": "Influence of Whitecaps on Aerosol and Ocean-Color Remote Sensing",
@@ -159145,19 +141530,6 @@
"description": "This spreadsheet contains species lists and counts from four sediment trap records. The sediment traps were deployed for ~1 year north and south of the Chatham Rise, New Zealand, between 1996 and 1997. Sheets 1a and 1b refer to North Chatham Rise (NCR). 1a = the 300m trap. 1b = the 1000m trap. Sheets 2a and 2b are for the South Chatham Rise traps (SCR). 2a= 300m, 2b= 1000m. Counting was undertaken on 1/16th splits. Material was cleaned of organics before diatom counting under light microscopy. Coccolith counting on uncleaned material was only undertaken at the 300m traps. Radiolarians and silicoflagellates were counted but not identified. Diatoms and coccoliths were counted along non-overlapping transects until 300 specimens had been counted per sample, or until 10 transects had been made. This dataset includes counts of diatom, coccolithophores, radiolarians and silicoflagellates for four sediment trap records- North Chatham Rise (NCR) and South Chatham Rise (SCR) at two trap depths each (300 m and 1000 m). It is intended as supplementary material to Wilks et al. 2018 (submitted) \"Diatom and coccolithophore assemblages from archival sediment trap samples of the Subtropical and Subantarctic Southwest Pacific.\" Numbers are raw count per sample cup. Authorities are given. Coordinates of traps given in degrees, minutes and seconds.",
"license": "proprietary"
},
- {
- "id": "WIND_3DP_Not provided",
- "title": "3-D Plasma and Energetic Particle Investigation on WIND",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1994-11-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214615352-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214615352-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMjAxMDA0X2ltbmF2YWl0X2ZpZWxkXCIsXCJTQ0lPUFNcIixcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwMDQ1MCw0XSIsInVtbSI6IltcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwiU0NJT1BTXCIsXCIyMDEwMDRfaW1uYXZhaXRfZmllbGRcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDA0NTAsNF0ifQ%3D%3D/WIND_3DP_Not%20provided",
- "description": "The main purpose of the Wind spacecraft is to measure the incoming solar wind, magnetic fields and particles, although early on it will also observe the Earth's foreshock region. Wind, together with Geotail, Polar, SOHO, and Cluster projects, constitute a cooperative scientific satellite project designated the International Solar Terrestrial Physics (ISTP) program which aims at gaining improved understanding of the physics of solar terrestrial relations. This experiment is designed to measure the full three-dimensional distribution of suprathermal electrons and ions at energies from a few eV to over several hundred keV on the WIND spacecraft. Its high sensitivity, wide dynamic range, and good energy and angular resolution make it especially capable of detecting and characterizing the numerous populations of particles that are present in interplanetary space at energies above the bulk of the solar wind particles and below the energies typical of most cosmic rays. Data consists of ion moments, energy spectra, electron spectra, electron and ion omni directional energy spectra. Data are available from SSL at University of California, Berkeley (http://sprg.ssl.berkeley.edu/wind3dp/esahome.html) and at the NSSDC CDAWeb (http://cdaweb.gsfc.nasa.gov/cdaweb/)",
- "license": "proprietary"
- },
{
"id": "WISPMAWSON04-05_1",
"title": "A GIS dataset of Wilson's storm petrel nests mapped in the Mawson region during the 2004-2005 season",
@@ -159258,60 +141630,125 @@
"bbox": "-125, 31, -102, 49",
"url": "https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.umm_json",
"metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIGRhaWx5IGwzIGdsb2JhbCA3NTBtIGVhc2UtZ3JpZCAyLjAgZGF5IHYwMDJcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBQMURcIixcIjJcIiwyMzE3MDQ1MjkyLDU5XSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSBkYWlseSBsMyBnbG9iYWwgNzUwbSBlYXNlLWdyaWQgMi4wIGRheSB2MDAyXCIsXCJOU0lEQ19FQ1NcIixcIlZOUDMwUDFEXCIsXCIyXCIsMjMxNzA0NTI5Miw1OV0ifQ%3D%3D/WUS_UCLA_SR_1",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1widmlpcnMvbnBwIGljZSBzdXJmYWNlIHRlbXBlcmF0dXJlIDYtbWluIGwyIHN3YXRoIDc1MG0gdjAwMVwiLFwiTlNJRENfRUNTXCIsXCJWTlAzMFwiLFwiMVwiLDEzNjk2ODM0NTUsMTAxXSIsInVtbSI6IltcInZpaXJzL25wcCBpY2Ugc3VyZmFjZSB0ZW1wZXJhdHVyZSA2LW1pbiBsMiBzd2F0aCA3NTBtIHYwMDFcIixcIk5TSURDX0VDU1wiLFwiVk5QMzBcIixcIjFcIiwxMzY5NjgzNDU1LDEwMV0ifQ%3D%3D/WUS_UCLA_SR_1",
"description": "This Western United States snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow-covered area (fSCA) and snow depth (SD) at 16 arc-second (~500 m) resolution from water years 1985 to 2021. This data set was developed to be compared to SnowEx data sets but its utility reaches beyond that since its spatial and temporal bounds extend over the entire Western U.S. and over several decades.",
"license": "proprietary"
},
{
- "id": "WV_LCC_SC_FSCA_1",
- "title": "Land Cover Classification, Snow Cover, and Fractional Snow-Covered Area Maps from Maxar WorldView Satellite Images V001",
- "catalog": "NSIDC_ECS STAC Catalog",
- "state_date": "2015-05-20",
- "end_date": "2019-05-05",
- "bbox": "-121.203708, 38.867847, -108.032283, 48.672717",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiaWNlc2F0LTIgZGVyaXZlZCBzZWEgaWNlIG1lbHQgcG9uZCBjaGFyYWN0ZXJpc3RpY3MgZnJvbSB0aGUgZGVuc2l0eS1kaW1lbnNpb24gYWxnb3JpdGhtIHYwMDNcIixcIk5TSURDX0VDU1wiLFwiSVMyTVBEREFcIixcIjNcIiwyOTM1MTgwNTgyLDEwXSIsInVtbSI6IltcImljZXNhdC0yIGRlcml2ZWQgc2VhIGljZSBtZWx0IHBvbmQgY2hhcmFjdGVyaXN0aWNzIGZyb20gdGhlIGRlbnNpdHktZGltZW5zaW9uIGFsZ29yaXRobSB2MDAzXCIsXCJOU0lEQ19FQ1NcIixcIklTMk1QRERBXCIsXCIzXCIsMjkzNTE4MDU4MiwxMF0ifQ%3D%3D/WV_LCC_SC_FSCA_1",
- "description": "This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from WorldView-2 and WorldView-3 stereo panchromatic and multispectral images; (2) binary snow maps derived from the land cover maps; and (3) 30 m and 465 m fractional snow-covered area (fSCA) maps, produced via downsampling of the binary snow maps. The land cover classification maps feature between three and six classes common to mountainous regions and integral for accurate stereo snow depth mapping: illuminated snow, shaded snow, vegetation, exposed surfaces, surface water, and clouds. Also included are Landsat and MODSCAG fSCA map products. The source imagery for these data are the Maxar WorldView-2 and Maxar WorldView-3 Level-1B 8-band multispectral images, orthorectified and converted to top-of-atmosphere reflectance. These Level-1B images are available under the NGA NextView/EnhancedView license.",
+ "id": "WV01_Pan_L1B_1",
+ "title": "WorldView-1 Level 1B Panchromatic Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2007-10-10",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV01_Pan_L1B_1",
+ "description": "The WorldView-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Panchromatic imagery is collected by the DigitalGlobe WorldView-1 satellite using the WorldView-60 camera across the global land surface from September 2007 to the present. Data have a spatial resolution of 0.5 meters at nadir and a temporal resolution of approximately 1.7 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.",
"license": "proprietary"
},
{
- "id": "WYGISC_HYDRO100K_Not provided",
- "title": "1:100,000-scale Hydrography for Wyoming (enhanced DLGs)",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1970-01-01",
+ "id": "WV02_MSI_L1B_1",
+ "title": "WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2009-10-08",
"end_date": "",
- "bbox": "-111.36555, 40.944794, -103.783806, 44.99391",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614313-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614313-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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%3D/WYGISC_HYDRO100K_Not%20provided",
- "description": "The purpose of this data layer was to provide a base layer of water features at a statewide level for riparian/aquatic species distribution modeling for the Wyoming Gap Analysis project. However the data may also be used for a variety of other natural resources management/biological studies at the appropriate scale. Hydrographic features for Wyoming at 1:100,000-scale, including perennial and intermittent designations and Strahler stream order attributes for streams. Does not include man-made ditches, canals and aqueducts. The data was originally produced by USGS, a Digital Line Graph (DLG) product, though this product was enhanced (edgematched, some linework and attributes corrected, stream order attribute added). A subset of this dataset is also available for distribution, including only major streams (order 4 to 7) and major lakes and reservoirs. In order to reduce the size of this subset, the line segments were dissolved to remove unncessary segments. Both datasets are available in Arc export file and shapefile format for download Statewide and tiled data: there is one export file, which when imported into ARC/INFO, will contain one coverage with both polygon (lakes, reservoirs) and line (streams) topology and two feature attribute files (.PAT and .AAT) along with three additional attribute files containing descriptive information. In shapefile format, there will be two shapefiles (polygons and lines separated), with all attribute files in Dbase format.",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV02_MSI_L1B_1",
+ "description": "The WorldView-2 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. It has a spatial resolution of 1.85m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.",
"license": "proprietary"
},
{
- "id": "WYGISC_HYDRO24K_Not provided",
- "title": "1:24,000-scale Hydrography for ortions Wyoming, various sources",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1967-01-01",
- "end_date": "1971-12-31",
- "bbox": "-111, 41, -104, 45",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614312-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614312-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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%3D/WYGISC_HYDRO24K_Not%20provided",
- "description": "The purpose of this data layer is to provide a base layer of hydrography at the watershed scale for GIS display and analysis. The hydrography described by this metadata, including streams, lakes, reservoirs and\" ditches, came from three different sources, all at 1:24,000-scale:\" -USGS Digital Line Graphs -USFS Cartographic Feature File -digitized by Wyoming Water Resources Center off of paper topographic maps",
+ "id": "WV02_Pan_L1B_1",
+ "title": "WorldView-2 Level 1B Panchromatic Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2009-10-08",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV02_Pan_L1B_1",
+ "description": "The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.",
"license": "proprietary"
},
{
- "id": "WYGISC_LANDUSE_Not provided",
- "title": "Agricultural Land Use of Wyoming",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1980-01-01",
- "end_date": "1982-12-31",
- "bbox": "-111.09, 40.95, -103.88, 45.107",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614317-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614317-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIiwidW1tIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIn0%3D/WYGISC_LANDUSE_Not%20provided",
- "description": "The purpose of this data layer is to provide a digital layer showing areas of agriculture and agricultural chemical use in Wyoming. This layer was designed to be applied in the Wyoming Ground-Water Vulnerability Mapping Project. This dataset represents croplands of Wyoming as interpreted from 1:58,200-scale National High Altitude Program (NHAP) color infrared aerial photography. The photos, which were taken in 1980-1982, were interpreted and land use designations were hand-drawn onto plots produced at the same scale as the photos, using a light table. The plots were then digitized as polygons into ARC/INFO 7.0.2. Valid polygons include irrigated croplands, non-irrigated croplands, urban lands, golf-courses, and non-agricultural lands. Golf courses boundaries, which have changed recently, were later updated with 1994 NAPP photos.",
+ "id": "WV03_MSI_L1B_1",
+ "title": "WorldView-3 Level 1B Multispectral 8-Band Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2014-08-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497111771-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497111771-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV03_MSI_L1B_1",
+ "description": "The WorldView-3 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This satellite imagery is in a range of wavebands with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. The imagery has a spatial resolution of 1.24m at nadir and a temporal resolution of less than one day. The data are provided in National Imagery Transmission Format (NITF). This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.",
+ "license": "proprietary"
+ },
+ {
+ "id": "WV03_Pan_L1B_1",
+ "title": "WorldView-3 Level 1B Panchromatic Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2014-08-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497431983-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497431983-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV03_Pan_L1B_1",
+ "description": "The WorldView-3 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This imagery has a spatial resolution of 0.31m at nadir and a temporal resolution of less than one day. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.",
+ "license": "proprietary"
+ },
+ {
+ "id": "WV03_SWIR_L1B_1",
+ "title": "WorldView-3 Level 1B Shortwave Infrared 8-Band Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2014-08-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497415947-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497415947-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV03_SWIR_L1B_1",
+ "description": "The WorldView-3 Level 1B Shortwave Infrared 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This data product includes 8 shortwave infrared bands. The spatial resolution is 3.7m at nadir and the temporal resolution is less than one day. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.",
+ "license": "proprietary"
+ },
+ {
+ "id": "WV04_MSI_L1B_1",
+ "title": "WorldView-4 Level 1B Multispectral 4-Band Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2016-12-01",
+ "end_date": "2019-01-07",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497446902-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497446902-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV04_MSI_L1B_1",
+ "description": "The WorldView-4 Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe WorldView-4 satellite using the SpaceView-110 camera across the global land surface from December 2016 to January 2019. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The multispectral imagery has a spatial resolution of 1.24m at nadir and has a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a Maxar End User License Agreement for Worldview 4 imagery and investigators must be approved by the CSDA Program.",
+ "license": "proprietary"
+ },
+ {
+ "id": "WV04_Pan_L1B_1",
+ "title": "WorldView-4 Level 1B Panchromatic Satellite Imagery",
+ "catalog": "CSDA STAC Catalog",
+ "state_date": "2016-12-01",
+ "end_date": "2019-01-07",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2497439327-CSDA.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2497439327-CSDA.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/CSDA/collections/WV04_Pan_L1B_1",
+ "description": "The WorldView-4 Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe WorldView-4 satellite using the WorldView-110 camera across the global land surface from December 2016 to January 2019. This data product includes panchromatic imagery with a spatial resolution of 0.31m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a Maxar End User License Agreement for Worldview 4 imagery and investigators must be approved by the CSDA Program.",
+ "license": "proprietary"
+ },
+ {
+ "id": "WV_LCC_SC_FSCA_1",
+ "title": "Land Cover Classification, Snow Cover, and Fractional Snow-Covered Area Maps from Maxar WorldView Satellite Images V001",
+ "catalog": "NSIDC_ECS STAC Catalog",
+ "state_date": "2015-05-20",
+ "end_date": "2019-05-05",
+ "bbox": "-121.203708, 38.867847, -108.032283, 48.672717",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.umm_json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiaWNlc2F0LTIgZGVyaXZlZCBzZWEgaWNlIG1lbHQgcG9uZCBjaGFyYWN0ZXJpc3RpY3MgZnJvbSB0aGUgZGVuc2l0eS1kaW1lbnNpb24gYWxnb3JpdGhtIHYwMDNcIixcIk5TSURDX0VDU1wiLFwiSVMyTVBEREFcIixcIjNcIiwyOTM1MTgwNTgyLDEwXSIsInVtbSI6IltcImljZXNhdC0yIGRlcml2ZWQgc2VhIGljZSBtZWx0IHBvbmQgY2hhcmFjdGVyaXN0aWNzIGZyb20gdGhlIGRlbnNpdHktZGltZW5zaW9uIGFsZ29yaXRobSB2MDAzXCIsXCJOU0lEQ19FQ1NcIixcIklTMk1QRERBXCIsXCIzXCIsMjkzNTE4MDU4MiwxMF0ifQ%3D%3D/WV_LCC_SC_FSCA_1",
+ "description": "This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from WorldView-2 and WorldView-3 stereo panchromatic and multispectral images; (2) binary snow maps derived from the land cover maps; and (3) 30 m and 465 m fractional snow-covered area (fSCA) maps, produced via downsampling of the binary snow maps. The land cover classification maps feature between three and six classes common to mountainous regions and integral for accurate stereo snow depth mapping: illuminated snow, shaded snow, vegetation, exposed surfaces, surface water, and clouds. Also included are Landsat and MODSCAG fSCA map products. The source imagery for these data are the Maxar WorldView-2 and Maxar WorldView-3 Level-1B 8-band multispectral images, orthorectified and converted to top-of-atmosphere reflectance. These Level-1B images are available under the NGA NextView/EnhancedView license.",
"license": "proprietary"
},
{
@@ -159561,19 +141998,6 @@
"description": "This data set provides environmental, soil, and vegetation data collected in July and August 1997 from 85 study plots in willow shrub communities located along a north-south transect from the Brooks Range to Prudhoe Bay on the North Slope of Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in three broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geobotanical factors in the region and across Alaska.",
"license": "proprietary"
},
- {
- "id": "WindSat-REMSS-L3U-v7.0.1a_7.0.1a",
- "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite",
- "catalog": "POCLOUD STAC Catalog",
- "state_date": "2002-06-01",
- "end_date": "2020-10-19",
- "bbox": "-179.99, -39.06, 180, 39.01",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878925-POCLOUD.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036878925-POCLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDNjIG5vcnRoIGF0bGFudGljIHJlZ2lvbmFsIChuYXIpIHN1YnNraW4gc2VhIHN1cmZhY2UgdGVtcGVyYXR1cmUgZnJvbSBzbnBwL3ZpaXJzIChnZHMgdjIpIHByb2R1Y2VkIGJ5IG9zaSBzYWZcIixcIlBPQ0xPVURcIixcIlZJSVJTX1NTVF9OUFBfTkFSLU9TSVNBRi1MM0MtdjEuMFwiLFwiMVwiLDIwMzY4Nzg4MDgsN10iLCJ1bW0iOiJbXCJnaHJzc3QgbGV2ZWwgM2Mgbm9ydGggYXRsYW50aWMgcmVnaW9uYWwgKG5hcikgc3Vic2tpbiBzZWEgc3VyZmFjZSB0ZW1wZXJhdHVyZSBmcm9tIHNucHAvdmlpcnMgKGdkcyB2MikgcHJvZHVjZWQgYnkgb3NpIHNhZlwiLFwiUE9DTE9VRFwiLFwiVklJUlNfU1NUX05QUF9OQVItT1NJU0FGLUwzQy12MS4wXCIsXCIxXCIsMjAzNjg3ODgwOCw3XSJ9/WindSat-REMSS-L3U-v7.0.1a_7.0.1a",
- "description": "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"rt\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7.0.1a\" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final \"v7.0.1a\" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter \"a\" refers to the file incompliance with GHRSST format.",
- "license": "proprietary"
- },
{
"id": "Wolves_Denning_Pups_Climate_1846_1",
"title": "ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017",
@@ -159756,19 +142180,6 @@
"description": "This data set provides the distribution of young forests (forests less than 27 years of age) and their estimated stand ages across the full extent of Russia at 500-m resolution for the year 2012. The distribution of young forests was modeled with MODIS 500-m records for 12- to 27-year-old forests and augmented with the 0- to 11-year-old forest distribution as aggregated from 30 m resolution contemporary Landsat imagery.",
"license": "proprietary"
},
- {
- "id": "ZZZ302_Not provided",
- "title": "Alabama Remote Sensing Archive Multispectral Imagery of Alabama from Landsat and Skylab",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1972-01-01",
- "end_date": "1984-01-01",
- "bbox": "-92, 24, -80, 35",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214584460-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214584460-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/ZZZ302_Not%20provided",
- "description": "Multispectral imagery of the state of Alabama is available from the Geological Survey of Alabama for the time period of 1972-1984. Imagery from the Landsat multispectral scanner (MSS) is available as prints or transparencies for all bands (with selected color composites avaliable) at an approximate scale of 1:1,000,000. MSS data is collected in four spectral bands ranging from 0.5 to 1.1 micrometer with a ground resolution of about 80m. Images available from Skylab 3 and 4 include 9 x 9 prints and transparencies at 1:750,000 (skylab 3) and 1:500,000 (skylab 4). These images were taken in 1973 and are along three tracks; northeast from New Orleans, LA to South Carolina, northeast from Pensacola, FL to Columbus, GA, and from Pearl River, Jackson MI to Pensacola, FL. The multispectral photographic facility onboard Skylab provided imagery in several wavelength bands ranging from 0.5 to 0.9 Micrometers. This camera system provided ground resolution of approximately 40 m in visible wavelengths to 75 m in the infrared. A variety of high and low altitude aircraft imagery of Alabama is also available from the Geological Survey of Alabama. Microfiche images of MSS/TM imagery of North America since 1986 (landsat browse imagery) are also available. Similar imagery for other locations and time periods is available from the Eros Data Center.",
- "license": "proprietary"
- },
{
"id": "ZinkeSoil_221_1",
"title": "Global Organic Soil Carbon and Nitrogen (Zinke et al.)",
@@ -160237,162 +142648,6 @@
"description": "Acoustic sounder charts were collected at six locations during Australian Antarctic Division Voyage 6 1994/95 (BANGSS) using the Kongsberg EA200 Echo Sounder on the Aurora Australis. BANGSS is an acronym for Big ANtarctic Geological and Seismic Survey. The voyage began on 6 February 1995 and finished on 12 April 1995. Each chart is labelled with information about when and where the data was collected: date, time, latitude and longitude. The charts provide a profile of the sea floor and have a time axis with numbers in the following format. the first two digits are the day the next two digits are the month the next five digits are the time (UTC) the last ten digits are the maximum value on the depth axis eg 2402005 360000000500 means 24 February 5:36 UTC and the maximum value on the depth axis is 500 metres See a Related URL for a link to information about the voyage including the voyage report.",
"license": "proprietary"
},
- {
- "id": "acoustic_doppler_current_profiler_data_-_2010_Not provided",
- "title": "Acoustic Doppler Current Profiler Data - 2010",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2010-08-21",
- "end_date": "2010-09-17",
- "bbox": "-156, 70, -154, 72",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602088-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602088-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_doppler_current_profiler_data_-_2010_Not%20provided",
- "description": "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Two files are included: A matlab file and a .zip file containing ascii files for each deployement. 2.) ascii format. The .mat file sos2010_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable \"readme\" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2010dt_ascii.zip.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
\"Bad\" data are marked with the flag value 999.99.",
- "license": "proprietary"
- },
- {
- "id": "acoustic_doppler_current_profiler_data_-_2011_Not provided",
- "title": "Acoustic Doppler Current Profiler Data - 2011",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2011-08-22",
- "end_date": "2011-09-13",
- "bbox": "-156, 70, -154, 72",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600594-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600594-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_doppler_current_profiler_data_-_2011_Not%20provided",
- "description": "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Three files are included: A matlab file and .zip file and .tar files containing ascii files for each deployement. 1.) Matlab format. The .mat file sos2011_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable \"readme\" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2011dt_ascii.zip or sos2011dt_asc.tar.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
\"Bad\" data are marked with the flag value 999.99.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_arcss_grid_atqasuk_alaska_2010_Not provided",
- "title": "Active Layer ARCSS grid Atqasuk, Alaska 2010",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2010-07-10",
- "end_date": "2010-08-16",
- "bbox": "-156, 70, -158, 71",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602289-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602289-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_arcss_grid_atqasuk_alaska_2010_Not%20provided",
- "description": "Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_arcss_grid_atqasuk_alaska_2011_Not provided",
- "title": "Active Layer ARCSS grid Atqasuk, Alaska 2011",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2011-06-17",
- "end_date": "2011-08-12",
- "bbox": "-157, 70, -156, 71",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600393-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600393-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_arcss_grid_atqasuk_alaska_2011_Not%20provided",
- "description": "Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2011 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_arcss_grid_atqasuk_alaska_2012_Not provided",
- "title": "Active Layer ARCSS grid Atqasuk, Alaska 2012",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2012-06-09",
- "end_date": "2012-08-18",
- "bbox": "-156, 70, -157, 71",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214601993-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214601993-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_arcss_grid_atqasuk_alaska_2012_Not%20provided",
- "description": "Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2012 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_arcss_grid_barrow_alaska_2010_Not provided",
- "title": "Active Layer ARCSS grid Barrow, Alaska 2010",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2010-06-30",
- "end_date": "2010-08-11",
- "bbox": "-156.6, 71, -156.5, 71.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600590-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600590-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_arcss_grid_barrow_alaska_2010_Not%20provided",
- "description": "Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_arcss_grid_barrow_alaska_2011_Not provided",
- "title": "Active Layer ARCSS grid Barrow, Alaska 2011",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2011-06-14",
- "end_date": "2011-07-25",
- "bbox": "-156.6, 71, -156.5, 71.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600390-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600390-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_arcss_grid_barrow_alaska_2011_Not%20provided",
- "description": "Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_arcss_grid_barrow_alaska_2012_Not provided",
- "title": "Active Layer ARCSS grid Barrow, Alaska 2012",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2012-06-09",
- "end_date": "2012-08-18",
- "bbox": "-156.6, 71, -156.5, 71.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600333-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600333-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_arcss_grid_barrow_alaska_2012_Not%20provided",
- "description": "Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_nims_grid_atqasuk_alaska_2011_Not provided",
- "title": "Active Layer NIMS grid Atqasuk, Alaska 2011",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2011-06-05",
- "end_date": "2011-08-12",
- "bbox": "-156, 70, -157, 71",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600341-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600341-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_nims_grid_atqasuk_alaska_2011_Not%20provided",
- "description": "Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2011 summer field season. UTEP SEL\u0092s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. ",
- "license": "proprietary"
- },
- {
- "id": "active_layer_nims_grid_atqasuk_alaska_2012_Not provided",
- "title": "Active Layer NIMS grid Atqasuk, Alaska 2012",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2012-06-09",
- "end_date": "2012-08-18",
- "bbox": "-156, 70, -157, 71",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600318-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600318-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_nims_grid_atqasuk_alaska_2012_Not%20provided",
- "description": "Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2012 summer field season. UTEP SEL's CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_nims_grid_barrow_alaska_2011_Not provided",
- "title": "Active Layer NIMS grid Barrow, Alaska 2011",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2011-06-14",
- "end_date": "2011-08-09",
- "bbox": "-156.6, 71, -156.5, 71.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602385-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602385-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_nims_grid_barrow_alaska_2011_Not%20provided",
- "description": "Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2011 summer field season. UTEP SEL’s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass.",
- "license": "proprietary"
- },
- {
- "id": "active_layer_nims_grid_barrow_alaska_2012_Not provided",
- "title": "Active Layer NIMS grid Barrow, Alaska 2012",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2012-06-09",
- "end_date": "2012-08-18",
- "bbox": "-156.6, 71, -156.5, 71.5",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600541-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600541-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/active_layer_nims_grid_barrow_alaska_2012_Not%20provided",
- "description": "Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2012 summer field season. UTEP SEL\u0092s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass.",
- "license": "proprietary"
- },
{
"id": "ada968fd392d49fbbb07ac84eeb23ac6_NA",
"title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Zachariae Glacier between 2017-06-25 and 2017-08-10, generated using Sentinel-2 data, v1.1",
@@ -160406,19 +142661,6 @@
"description": "This dataset contains an optical ice velocity time series and seasonal product of the Zachariae Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-25 and 2017-08-10. It has been produced as part of the ESA Greenland Ice Sheet CCI project.The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid. The product was generated by S[&]T Norway.",
"license": "proprietary"
},
- {
- "id": "adaptive_long-term_fasting_in_land_and_ice-bound_polar_bears_data_table_Not provided",
- "title": "Adaptive long-term fasting in land and ice-bound polar bears: Data Table",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "2008-01-01",
- "end_date": "2011-12-31",
- "bbox": "-155, 70, -122, 80",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602399-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602399-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWN0aXZlIGZpcmUgZGV0ZWN0aW9uIGluIGVhc3Rlcm4gc3BhaW5cIixcIlNDSU9QU1wiLFwiSUdCUC1ESVNfRklSRV9TUEFJTlwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNTY3OCwzXSIsInVtbSI6IltcImFjdGl2ZSBmaXJlIGRldGVjdGlvbiBpbiBlYXN0ZXJuIHNwYWluXCIsXCJTQ0lPUFNcIixcIklHQlAtRElTX0ZJUkVfU1BBSU5cIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDU2NzgsM10ifQ%3D%3D/adaptive_long-term_fasting_in_land_and_ice-bound_polar_bears_data_table_Not%20provided",
- "description": "The datasets in the data table have been collected as part of a project to understand how reduced sea ice cover in the Arctic will impact polar bear populations. Bears that stay ashore in summer have almost no access to food and tend to be inactive. Those that stay on the ice, however, have continued access to prey and make extensive movements. Over a three year period, scientists from the University of Wyoming and the U. S. Geological Service followed the movements of bears in both habitats and monitored their body temperature, muscle condition, blood chemistry, and metabolism. The physiological data will be added to spatially-explicit individual-based population models to predict population response to reduced ice cover.",
- "license": "proprietary"
- },
{
"id": "adcp_2",
"title": "Aurora Australis Southern Ocean ADCP data",
@@ -160562,19 +142804,6 @@
"description": "The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during the following voyages: Australian Antarctic Division voyage 1 2003/04 - Antarctic Remote Ice Sensing Experiment (ARISE); Alfred Wegener Institute Ice Station Polarstern (ISPOL) voyage 2004/05. Voyage dates: ARISE: 10 Sep 2003 to 31 Oct 2003 ISPOL: 6 Nov 2004 to 19 Jan 2005 The ARISE and ISPOL aerial photographs of sea ice are part of the Australian Antarctic Data Centre's collection of aerial photographs which is described by the metadata record 'The collection of aerial photographs held by the Australian Antarctic Data Centre' with Entry ID: aerial_photo_gis. Digital flight lines and photo centres representing the runs along which the photographs were taken and the centres of the photographs are the basis of the catalogue. ",
"license": "proprietary"
},
- {
- "id": "aerial_photographs_from_columbia_glacier_1976-2010_Not provided",
- "title": "Aerial Photographs from Columbia Glacier, 1976-2010",
- "catalog": "SCIOPS STAC Catalog",
- "state_date": "1976-07-24",
- "end_date": "2011-06-15",
- "bbox": "-146.895, 61.22, -146.895, 61.22",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600568-SCIOPS.umm_json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600568-SCIOPS.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_photographs_from_columbia_glacier_1976-2010_Not%20provided",
- "description": "
Aerial stereophotography missions were flown at least once every year over the Columbia Glacier in 1976-2010, and documented further in the Aerial Inventory. Flight data include all existing scans of the large format diapositives and their derived data products from 2002-2010.
This dataset consists of scanned aerial diapositives in high resolution from a photogrammetric scanner and low resolution JPEG previews. The data are collected into TAR files by year. Data gathered during 2002-2003 are collected into TAR files by day and part (e.g. 20020826_01.tar).
", - "license": "proprietary" - }, { "id": "aerial_rpa_nov2016_1", "title": "Aerial photographs of Davis and Heidemann Valley taken with Remotely Piloted Aircraft, November 2016", @@ -160900,19 +143129,6 @@ "description": "This data set contains the calculated net ocean-air carbon dioxide (CO2) flux and sea-air CO2 partial pressure (pCO2) difference. The estimates are based on approximately one million measurements made for the pCO2 in surface waters of the global ocean since the International Geophysical Year, 1956-1959. Only the ocean water pCO2 values measured using direct gas-seawater equilibration methods were used. The results represent the climatological distributions under non-El Nino conditions. Since the measurements were made in different years, during which the atmospheric pCO2 was increasing, they were corrected to a single reference year (arbitrarily chosen to be 1995) on the basis of the following assumptions: -Surface waters in subtropical gyres mix vertically at slow rates with subsurface waters due to the presence of strong stratification at the base of the mixed layer. This will allow a long contact time with the atmosphere to exchange CO2. Therefore, their CO2 chemistry tends to follow the atmospheric CO2 increase. Accordingly, the pCO2 measured in a given month and year is corrected to the same month of the reference year 1995 using changes in the atmospheric CO2 concentration occurred during this period.-Oceanic pCO2 measurements made after the beginning of 1979 have been corrected to 1995 using the atmospheric CO2 concentration data from the GLOBALVIEW-CO2 database (2000), in which the zonal mean atmospheric concentrations (for each 0.05 in sine of latitude) within the planetary boundary layer are summarized for each month since 1979 to 2000.-Pre-1979 oceanic pCO2 data were corrected to 1979 using the annual mean trend for the global mean atmospheric CO2 concentration constructed from the Mauna Loa data of Keeling and Whorf (2000), and then from 1979 to 1995 using the GLOBALVIEW-CO2 database. -Measurements for pCO2 made in the following areas have been corrected for the time of observation; 45 degrees N, 50 degrees S, in the Atlantic Ocean, north of 50 degrees S in the Indian Ocean, 40 degrees N, 50 degrees S in the western Pacific west of the date line, and 40 degrees N, 60 degrees S, in the eastern Pacific east of the date line. ", "license": "proprietary" }, - { - "id": "air_temperature_observations_in_the_arctic_1979-2004_Not provided", - "title": "Air Temperature Observations in the Arctic 1979-2004", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1979-01-01", - "end_date": "2005-12-01", - "bbox": "-180, 14.5, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600622-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600622-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIiwidW1tIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIn0%3D/air_temperature_observations_in_the_arctic_1979-2004_Not%20provided", - "description": "The statistics of surface air temperature observations obtained from buoys, manned drifting stations, and meteorological land stations in the Arctic during 1979-2004 are analyzed. Although the basic statistics agree with what has been published in various climatologies, the seasonal correlation length scales between the observations are shorter than the annual correlation length scales, especially during summer when the inhomogeneity between the ice-covered ocean and the land is most apparent. During autumn, winter, and spring, the monthly mean correlation length scales are approximately constant at about 1000 km; during summer, the length scales are much shorter, i.e. as low as 300 km. These revised scales are particularly important in the optimal interpolation of data on surface air temperature (SAT) and are used in the analysis of an improved SAT dataset called IABP/POLES. Compared to observations from land stations and the Russian North Pole drift stations, the IABP/POLES dataset has higher correlations and lower rms errors than previous SAT fields and provides better temperature estimates, especially during summer in the marginal ice zones. In addition, the revised correlation length scales allow data taken at interior land stations to be included in the optimal interpretation analysis without introducing land biases to grid points over the ocean. The new analysis provides 12-hour fields of air temperatures on a 100-km rectangular grid for all land and ocean areas of the Arctic region for the years 1979-2004.", - "license": "proprietary" - }, { "id": "airmoss_chamela_mexico_Not provided", "title": "USGS AirMOSS - Chamela, Mexico", @@ -160939,6 +143155,19 @@ "description": "Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV).", "license": "proprietary" }, + { + "id": "airscpex_1", + "title": "Atmospheric Infrared Sounder (AIRS) CPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-11", + "end_date": "2017-07-16", + "bbox": "-130.881382, -18.2515803, -14.6008026, 64.1143891", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2721994875-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2721994875-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/airscpex_1", + "description": "The Atmospheric Infrared Sounder (AIRS) CPEX dataset contains products obtained from the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions from May through June 2017. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 11, 2017 through July 16, 2017 and are available in HDF-4 format.", + "license": "proprietary" + }, { "id": "airssy3b_507_1", "title": "BOREAS RSS-16 Level-3b DC-8 AIRSAR SY Images", @@ -160978,45 +143207,6 @@ "description": "The Australian Antarctic Division carried out a traverse to the Amery Ice Shelf in the summer of 1970. A daily log of the activities carried out was maintained, noting what the traverse team did, and the problems they dealt with along the traverse. Records for this work have been archived at the Australian Antarctic Division. Logbook(s): Glaciology Amery Ice Shelf Traverse Summer 1970 - The daily log from the traverse.", "license": "proprietary" }, - { - "id": "alaska_census_regional_database_Not provided", - "title": "Alaska Census Regional Database", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "2000-01-01", - "bbox": "-129, 50, 169, 71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602419-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214602419-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/alaska_census_regional_database_Not%20provided", - "description": "1970-2000 decennial census results by 27 census areas conformed to 2000 Census geography. Dataset consists of 611 variables covering demography, employment, education, income, mobility, and housing.", - "license": "proprietary" - }, - { - "id": "alaskan_air_ground_snow_and_soil_temperatures__1998-2005_Not provided", - "title": "Alaskan Air Ground Snow and Soil Temperatures 1998-2005", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1998-08-29", - "end_date": "2007-11-30", - "bbox": "-164.761, 64.919, -148.6, 70.439", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600491-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600491-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/alaskan_air_ground_snow_and_soil_temperatures__1998-2005_Not%20provided", - "description": "This data set contains air and ground temperature measurements collected from three different regions, each with multiple sites. The regions sampled are North Slope, Council, and Ivotuk. Early measurements were taken as part of the Land-Atmosphere-Ice Interactions - Arctic Transitions in the Land-Atmosphere System (LAII-ATLAS) program. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant numbers OPP-9721347, OPP-9870635, and OPP-9732126", - "license": "proprietary" - }, - { - "id": "albedo_line_snow_depths_Not provided", - "title": "Albedo Line Snow Depths", - "catalog": "SCIOPS STAC Catalog", - "state_date": "2009-04-27", - "end_date": "2009-04-28", - "bbox": "-157, 71, -156, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600343-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600343-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/albedo_line_snow_depths_Not%20provided", - "description": "Snow depth measurements recorded every half meter along the transects used for albedo measurements using a GPS magnaprobe. Included in the file are latitude, longitude, and snow depth. The first set of columns are at the south site, the second set are at the north site. Note that the south site was surveyed first along the line every half meter, and then a large dune field north of the line was extensively surveyed. Data Citation: Eicken, H., R. Gradinger, T. Heinrichs, M. Johnson, A. Lovecraft, and M. Sturm. (Nov. 29, 2009, Updated May 9, 2012). Albedo Line Snow Depths (SIZONET). UCAR/NCAR - CISL - ACADIS. http://dx.doi.org/10.5065/D6057CV2", - "license": "proprietary" - }, { "id": "ali_etm_tandem_821_1", "title": "SAFARI 2000 ALI/ETM+ Tandem Image Pair for Skukuza, South Africa, May 2001", @@ -161030,19 +143220,6 @@ "description": "A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing.", "license": "proprietary" }, - { - "id": "allADCP_GB_Not provided", - "title": "Acoustic Doppler Current Profiler (ADCP) observations, Georges Bank area, April-June 1995, GLOBEC.", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1995-04-25", - "end_date": "1995-06-16", - "bbox": "-68, 40.5, -67, 41.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_GB_Not%20provided", - "description": "Acoustic Doppler Current Profiler (ADCP) observations, were collected from the R/V Seward Johnson on two cruises to the Georges Bank region, April-June 1995. Three different ADCP units were used: two broadband at 150 and 600 kHz, and one narrowband at 150 kHz. The broadband 150 kHz unit was used at anchor stations with data reported at hourly intervals. The broad-band 600 kHz and narrow-band 150 kHz units collected data in the along track mode with data reported at five minute intervals. For each time interval, the u and v components of currents are reported at uniform depth intervals throughout the water column. Ship cruise dates R/V Seward Johnson 9506 1995 04 25 1995 05 02 R/V Seward Johnson 9508 1995 06 06 1995 06 16", - "license": "proprietary" - }, { "id": "alnus-glutinosa-orientus-ishidae-flavescence-doree_1.0", "title": "Alnus glutinosa (L.) Gaertn. and Orientus ishidae (Matsumura, 1902) share phytoplasma genotypes linked to the \u201cFlavescence dor\u00e9e\u201d epidemics", @@ -161186,6 +143363,19 @@ "description": "The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA\u2019s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020, through March 2, 2023, in netCDF-4 format. ", "license": "proprietary" }, + { + "id": "amprtbcp_2", + "title": "AMPR BRIGHTNESS TEMPERATURE CAPE EXPERIMENT", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1991-07-21", + "end_date": "1991-08-16", + "bbox": "-83.2024, 0, 12.6618, 38.1879", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1977858384-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1977858384-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/amprtbcp_2", + "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Precipitation/Electrification Experiment (CaPE). AMPR data werecollected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of July 21, 1991 - Aug. 16, 1991. CaPE took place in centralFlorida between 43 N - 25.5 N latitude and 86 W - 69 W longitude.", + "license": "proprietary" + }, { "id": "amprtbcx1_2", "title": "AMPR BRIGHTNESS TEMPERATURE CAMEX-1", @@ -161212,6 +143402,45 @@ "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiment 2 (CAMEX-2). AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of August 23 - August 30, 1995. The geographic domain of the CAMEX-2 region was between 25.5 N - 43 N latitude and 83 W - 70 W longitude.", "license": "proprietary" }, + { + "id": "amprtbcx3_1", + "title": "CAMEX-3 AMPR BRIGHTNESS TEMPERATURE (TB) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-08", + "end_date": "1998-09-27", + "bbox": "-90.5462, 13.606, -62.51, 35.6076", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1977858455-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1977858455-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/amprtbcx3_1", + "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Third Convection and Moisture Experiment (CAMEX-3). AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of August 8, 1998 - September 27, 1998. The purpose of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S. Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, radiosonde and rain gauge sites.", + "license": "proprietary" + }, + { + "id": "amprtbf3a_1", + "title": "AMPR FIRE III ACE", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-05-18", + "end_date": "1998-06-06", + "bbox": "-174.291, 64.7934, -147.234, 78.1863", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1977859380-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1977859380-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/amprtbf3a_1", + "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the First ISCCP Regional Experiment-III Arctic Cloud Experiment (FIRE-III/ACE). AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the time period of May 18, 1998 through June 6, 1998. The FIRE-III/ACE mission studied sea-ice melting, sea-ice drift, and other sea-ice properties. The experiment was focused on the Arctic Ocean in and near the Beaufort Sea off the northern coast of Alaska, in coordination with the ice-bound research ship, Sheba.", + "license": "proprietary" + }, + { + "id": "amprtbjax_2", + "title": "AMPR JACKSONVILLE BRIGHTNESS TEMPERATURE (TB)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1990-10-10", + "end_date": "1990-10-18", + "bbox": "-85.4487, 26.0128, -79.3422, 31.5217", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979079692-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979079692-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/amprtbjax_2", + "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed in Jacksonville, FL for the initial AMPR instrument validation. AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 10 October 1990 through 19 October 1990. The purpose of the Jacksonville mission was to study convection over the land and ocean for validation, along with clear (dry) vertical columns of atmosphere over the ocean for calibration.", + "license": "proprietary" + }, { "id": "amprtbkwj_1", "title": "AMPR BRIGHTNESS TEMPERATURE (TB) KWAJEX", @@ -161225,6 +143454,32 @@ "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the First Kwajelein Experiment (KWAJEX), which provided Ground Validation for instruments onboard the Tropical Rain Measurement Mission (TRMM). AMPR brightness temperature data were collected at four microwave frequencies suited to study rain cloud systems (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 30 July - 14 September 1999.", "license": "proprietary" }, + { + "id": "amprtblba_1", + "title": "TRMM LBA (LARGE SCALE BIOSPHERE-ATMOSPHERE) EXPERIMENT (AMPR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1999-01-24", + "end_date": "1999-02-23", + "bbox": "-62.9596, -12.4343, -56.5415, -9.5957", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080166-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080166-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wic2VkaW1lbnQgYW5hbHlzaXMgbmV0d29yayBmb3IgZGVjaXNpb24gc3VwcG9ydCAoc2FuZHMpIG1vZGlzIGdlb3RpZmYgdjFcIixcIkdIUkNfREFBQ1wiLFwic21nZW9cIixcIjFcIiwxOTc5OTQ0OTMzLDEzXSIsInVtbSI6IltcInNlZGltZW50IGFuYWx5c2lzIG5ldHdvcmsgZm9yIGRlY2lzaW9uIHN1cHBvcnQgKHNhbmRzKSBtb2RpcyBnZW90aWZmIHYxXCIsXCJHSFJDX0RBQUNcIixcInNtZ2VvXCIsXCIxXCIsMTk3OTk0NDkzMywxM10ifQ%3D%3D/amprtblba_1", + "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Tropical Rainfall Measuring Mission - Large Scale Biosphere-Atmosphere Experiment (TRMM-LBA); the second of three TRMM ground validation missions. AMPR data were collected at four distinct microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the time period of January 23 through February 26, 1999. The geographic domain of the TRMM-LBA region was wholly within Brazilian Amazon Basin between 16 S to 6N latitude and 76W to 49 W longitude. The TRMM-LBA mission was to study convection over humid tropical land regions within the range of research-quality radar, lightning, radiosonde and raingage sites located in the Amazon Basin (Rondonia, Brazil).", + "license": "proprietary" + }, + { + "id": "amprtbta_1", + "title": "AMPR TEFLUN-A BRIGHTNESS TEMPERATURE (TB)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-04-15", + "end_date": "1998-05-05", + "bbox": "-98.6646, 25.6215, -81.3661, 33.0512", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080326-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080326-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/amprtbta_1", + "description": "The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Texas-Florida Underflights (TEFLUN-A); the first of three TRMM ground validation missions. AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 15 April 1998 through 04 May 1998. The TEFLUN-A mission studied convection over sub-tropical land and ocean regions within the range of research-quality radar, lightning, radiosonde, and raingage sites in Florida and Texas.", + "license": "proprietary" + }, { "id": "amprtbtc_2", "title": "AMPR BRIGHTNESS TEMPERATURE (TB) TOGA COARE", @@ -161485,6 +143740,19 @@ "description": "The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment \u2013 Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX \u2013 Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. ", "license": "proprietary" }, + { + "id": "apuimpacts_1", + "title": "Autonomous Parsivel Unit (APU) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-15", + "end_date": "2020-02-29", + "bbox": "-75.5894, 37.919, -75.3588, 38.2064", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995564696-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995564696-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/apuimpacts_1", + "description": "The Autonomous Parsivel Unit (APU) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from January 15, 2020 through February 29, 2020.", + "license": "proprietary" + }, { "id": "area_of_shrub_forest-123_1.0", "title": "Area of shrub forest", @@ -161563,6 +143831,19 @@ "description": "The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format.", "license": "proprietary" }, + { + "id": "asosimpacts_1", + "title": "Automated Surface Observing System (ASOS) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2019-12-29", + "end_date": "2023-03-01", + "bbox": "-89.694, 36.571, -67.791, 47.467", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871063-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871063-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/asosimpacts_1", + "description": "The Automated Surface Observing Systems (ASOS) IMPACTS dataset consists of a variety of ground-based observations during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This ASOS dataset consists of 176 stations within the IMPACTS domain. Each station provides observations of surface temperature, dew point, precipitation, wind direction, wind speed, wind gust, sea level pressure, and the observed weather code. The ASOS data are available from December 29, 2019, through March 1, 2023, in netCDF-4 format.", + "license": "proprietary" + }, { "id": "aspas_asmas_aat_3", "title": "Antarctic Specially Protected Areas and Antarctic Specially Managed Areas in the Australian Antarctic Territory - GIS polygon dataset.", @@ -161758,19 +144039,6 @@ "description": "In January 2020 a social network analysis survey was conducted among forest policy stakeholders (at the organizational level) from the Canton of Lucerne as well as the national level. The aim was to elicit positions relative to a set of policy options currently discussed with respect to carbon mitigation and sequestration services of the forest, i.e. forest management and to establish information and collaboration network relations in order to identify actor coalitions as inspired by the \"actor coalition framework\" approach to policy analysis. Of the 66 questionnaires sent out, 51 were answered (77%). Only one additional organization was indicated as being missing from the provided list of stakeholder organizations.", "license": "proprietary" }, - { - "id": "atrs_Not provided", - "title": "Airborne Coherant Radar Sounding Data", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, -70", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214620687-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214620687-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIiwidW1tIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIn0%3D/atrs_Not%20provided", - "description": "Developmental airborne coherent radar sounding data collected over a variety of sounding targets in Antarctica, including a full gridded survey of subglacial Lake Vostok and its environs. This was an instrument development award, so the data are not of \"production\" quality. Receiver sensitivity documents are provided with the data. The data resides in 6, DLT 4 tapes (~30 Gb each).", - "license": "proprietary" - }, { "id": "au0103_1", "title": "Aurora Australis marine science cruise au0103 (CLIVAR_SR3) - CTD and ADCP data", @@ -162564,19 +144832,6 @@ "description": "This collection contains radar image products of the German national TerraSAR-X mission acquired in Staring Spotlight mode. Staring Spotlight imaging allows for a spatial resolution of up to 25 cm. The scene size varies depending on the incidence angle. As an example, 4 km (across swath) x 3.7 km (in orbit direction) can be achieved at 60\u00b0. TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space.\t\t\tFor more information concerning the TerraSAR-X mission, the reader is referred to:\t\t\thttps://www.dlr.de/content/de/missionen/terrasar-x.html", "license": "proprietary" }, - { - "id": "bds_dragonfly_Not provided", - "title": "A Checklist of British and Irish Dragonfly Species", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1998-01-01", - "end_date": "", - "bbox": "-8.41, 49.49, 2.39, 59.07", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611738-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611738-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIiwidW1tIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIn0%3D/bds_dragonfly_Not%20provided", - "description": "Dragonflies are among the most ancient of living creatures. Fossil records, clearly recognisable as dragonflies, go back to Carboniferous times which means that they date back almost 300 million years, predating pterodactyls by 100 million years and birds by some 150 million. It would he tragic if, after surviving such an unimaginable number of years, it should be our generation that witnesses the decline of these fascinating and beautiful insects. The British Dragonfly Society maintains a checklist of British and Irish dragonflies. This checklist includes all British and Irish species including migrants, vagrants and species now believed extinct in the British Isles. The species name provides a link to a photograph where available. Information was obtained from \"http://www.british-dragonflies.org.uk/content/uk-species\".", - "license": "proprietary" - }, { "id": "beaver_sat_1", "title": "Beaver Lake Satellite Image and Topographic Double-sided Map 1:100 000", @@ -163006,19 +145261,6 @@ "description": "The dataset was compiled from papers entered into Block's bibliography of invertebrate occurrences in the Antarctic and sub-Antarctic. The dataset provides a comprehensive list of all terrestrial invertebrates recorded from the Antarctic and sub-Antarctic (at that time). Data were entered into an Excel spreadsheet, which contains approximately 3500 entries. This dataset forms part of the work completed for Australian Antarctic Science (AAS) project 1146 (ASAC_1146) and the RiSCC program, AAS project 1015 (ASAC_1015). Papers from the Block Bibliography are available as a separate collection in the Australian Antarctic Division Library. This dataset has also been incorporated into the biodiversity database, which can be found at the provided URL.", "license": "proprietary" }, - { - "id": "blue_ice_core_DML2004_AS_Not provided", - "title": "101.1 m long horizontal blue ice core collected from Scharffenbergbotnen, DML, Antarctica, in 2003/2004", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, -62.83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614210-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614210-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/blue_ice_core_DML2004_AS_Not%20provided", - "description": "Horizontal blue ice core collected from the surface of a blue ice area in Scharffenbergbotnen, Heimefrontfjella, DML. Samples were collected in austral summer 2003/2004 and transported to Finland for chemical analyses. The blue ice core is estimated to represent a 1000-year period of climate history 20 - 40 kyr B.P.. The results of the analyses will be available in 2005.", - "license": "proprietary" - }, { "id": "bluegreen-ecological-network-data_1.0", "title": "Multi-Scale Prioritization framework for Urban Blue-Green Infrastructure Planning to Support Biodiversity: Data & Codes", @@ -163136,19 +145378,6 @@ "description": "Catchment boundaries of the the lakes on Broknes, Larsemann Hills. These catchments were generated using the FLOWDIRECTION and BASINS routines in the GRID module of ArcInfo GIS.", "license": "proprietary" }, - { - "id": "bromwich_0337948_1", - "title": "A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1979-01-01", - "end_date": "2002-08-31", - "bbox": "-180, -90, 180, -60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586989-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586989-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIiwidW1tIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIn0%3D/bromwich_0337948_1", - "description": "This 3-year project (June 2004-May 2007) was funded by the National Science Foundation's Office of Polar Programs (Glaciology). We employed the Polar MM5 to model variability and change in the surface mass balance (the net accumulation of moisture) over Antarctica in recent decades. Available here are annually and seasonally resolved grids of atmospheric data simulated by Polar MM5 for the period Jan 1979-Aug 2002. The ERA-40 dataset provided the initial and boundary conditions for the simulations. The burden of validating the data provided is the responsibility of anyone choosing to download it. MODEL CONFIGURATION: The Polar MM5 simulations were performed on a 121 x 121 polar stereographic grid covering the Antarctic and centered over the South Pole. The model resolution is 60-km in each horizontal direction. Vertically, the domain contains 32 sigma levels ranging from the surface to 10 hPa. Atmospheric data (U,V,T,Q,P) and sea surface temperatures were provided by ERA-40. 25-km resolution daily sea ice concentration grids were provided by the National Snow and Ice Data Center to determine fractional ice coverage over ocean gridpoints. The model topography was interpolated from the 1-km resolution digital elevation model of Liu et al. (2001). Images of the model domain, topography and land use specifications can be found here. More information on the physics in Polar MM5 can be found on the Polar MM5 Webpage, http://polarmet.mps.ohio-state.edu/PolarMet/pmm5.html Please reference the following publication if you use the data in a publication: Monaghan, A. J., D. H. Bromwich, and S.-H. Wang, 2006: Recent trends in Antarctic snow accumulation from Polar MM5. Philosophical Trans. Royal. Soc. A, 364, 1683-1708.", - "license": "proprietary" - }, { "id": "brownbay_bathy_dem_1", "title": "A bathymetric Digital Elevation Model (DEM) of Brown Bay, Windmill Islands", @@ -163266,19 +145495,6 @@ "description": "Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously.", "license": "proprietary" }, - { - "id": "c05fa2267e6e03d0e5b9bb6429fdbb974a8194a1_Not provided", - "title": "3 year daily average solar exposure map Mali 3Km GRAS August 2008-2011", - "catalog": "SCIOPS STAC Catalog", - "state_date": "2008-03-01", - "end_date": "2011-03-31", - "bbox": "-15, 8, 5, 28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214604040-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214604040-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMjAxMDA0X2ltbmF2YWl0X2ZpZWxkXCIsXCJTQ0lPUFNcIixcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwMDQ1MCw0XSIsInVtbSI6IltcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwiU0NJT1BTXCIsXCIyMDEwMDRfaW1uYXZhaXRfZmllbGRcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDA0NTAsNF0ifQ%3D%3D/c05fa2267e6e03d0e5b9bb6429fdbb974a8194a1_Not%20provided", - "description": "This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for August.", - "license": "proprietary" - }, { "id": "c0b9f42f-640a-44e0-9080-7e80081942c9_NA", "title": "MERIS - Water Parameters - North Sea, Daily", @@ -163318,19 +145534,6 @@ "description": "The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.The v06.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717\u00e2\u0080\u0093739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001", "license": "proprietary" }, - { - "id": "c2d1361c3fcbc6c7b60b35791f7bbc45bf8079dc_Not provided", - "title": "3 year daily average solar exposure map Mali 3Km GRAS January 2008-2011", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-15, 8, 5, 28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214603977-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214603977-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMjAxMDA0X2ltbmF2YWl0X2ZpZWxkXCIsXCJTQ0lPUFNcIixcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwMDQ1MCw0XSIsInVtbSI6IltcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwiU0NJT1BTXCIsXCIyMDEwMDRfaW1uYXZhaXRfZmllbGRcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDA0NTAsNF0ifQ%3D%3D/c2d1361c3fcbc6c7b60b35791f7bbc45bf8079dc_Not%20provided", - "description": "This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for January.", - "license": "proprietary" - }, { "id": "c4_percent_1deg_932_1", "title": "ISLSCP II C4 Vegetation Percentage", @@ -163357,6 +145560,552 @@ "description": "The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational H2O total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The total H2O column is retrieved from GOME solar backscattered measurements in the red wavelength region (614-683.2 nm), using the Differential Optical Absorption Spectroscopy (DOAS) method. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/", "license": "proprietary" }, + { + "id": "c4aaero_1", + "title": "CAMEX-4 AEROSONDE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-19", + "end_date": "2001-09-10", + "bbox": "-81.4325, 30.2039, -80.649, 30.5738", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080632-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080632-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/c4aaero_1", + "description": "The CAMEX-4 Aerosonde dataset contains temperature, humidity, and atmospheric pressure measurements collected to study the boundary layer below levels where traditional hurricane reconnasissance aircaft fly. The Aerosonde is an unmanned aerial vehicle with a wingspan of 2.9 meters (~9 feet) weighing approximately 14 kg (~31 lbs). Carrying a payload of air pressure, temperature and humidity probes, the aircraft can fly at altitudes from near the surface to 21,000 feet at speeds of 50-95 mph for periods of up to 30 hours. Controlled by dual computers and navigated by GPS, the Aerosonde is designed to economically collect meteorological data over a wide area.", + "license": "proprietary" + }, + { + "id": "c4dcm_1", + "title": "CAMEX-4 CLOUD MICROPHYSICS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.215, 16.5317, -58.635, 39.71", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080915-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979080915-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/c4dcm_1", + "description": "The Cloud Microphysics dataset consists of particle size distributions from three instruments, the 2D-P (two dimensional precipitation probe), the 2D-C (two dimensional cloud probe) and the FSSP (Forward Scattering Spectrometer Probe). These three instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.3-6400 micrometers. Data is in the form of images and ascii tables.", + "license": "proprietary" + }, + { + "id": "c4dcstar_1a", + "title": "CAMEX-4 CONICALLY-SCANNING TWO-LOOK AIRBORNE RADIOMETER (C-STAR) V1a", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-24", + "bbox": "-88.602, 16.3047, -58.4319, 40.0139", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979093102-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979093102-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dcstar_1a", + "description": "The CAMEX-4 Conically-Scanning Two-Look Airborne Radiometer (C-STAR) dataset was collected by the Conically-Scanning Two-look Airborne Radiometer (C-STAR), which was deployed during the Fourth Convection and Moisture Experiment (CAMEX-4). C-STAR data were collected at 37GHz (in the microwave part of the electromagnetic spectrum) for the period of 8 Aug 2001 through 24 Sept 2001. The CAMEX-4 missions studied hurricanes over land and ocean in the U.S., Gulf of Mexico, Caribean, and Western Atlantic Ocean, and made use of multiple aircraft and research-quality radar, lightning, and radiosonde sites.", + "license": "proprietary" + }, + { + "id": "c4dcvi_1", + "title": "CAMEX-4 CVI CLOUD CONDENSED WATER CONTENT V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-09-06", + "end_date": "2001-09-10", + "bbox": "-84.4033, 24.455, -58.635, 39.0433", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979094668-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979094668-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dcvi_1", + "description": "The CAMEX-4 DC-8 Forward and NADIR Video dataset consists of DVDs which capture the forward and nadir views from the NASA DC-8 aircraft during CAMEX-4 flights. These videos contain timestamps and the recorded voice channels of the scientists and mission managers aboard the aircraft during flights studying storm conditions.", + "license": "proprietary" + }, + { + "id": "c4dd8d_1", + "title": "CAMEX-4 DC-8 DROPSONDE SYSTEM V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-87.623, 16.615, -59.32, 39.068", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979094831-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979094831-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dd8d_1", + "description": "The CAMEX-4 DC-8 Dropsonde System dataset was collected by the DC-8 Dropsonde System (D8D) uses dropwindsonde and Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temperature, humidity, windspeed/direction, pressure, and location in 3 dimensional space during the sonde's descent once each half second. Measurements are transmitted to the aircraft from the time of release until impact with the ocean's surface.", + "license": "proprietary" + }, + { + "id": "c4dicats_1", + "title": "CAMEX-4 DC-8 INFORMATION COLLECTION AND TRANSMISSION SYSTEM V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.215, 16.5317, -58.6333, 39.71", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979095265-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979095265-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dicats_1", + "description": "The CAMEX-4 DC-8 Information Collection and Transmission System dataset was collected by the Information Collection and Transmission System (ICATS), which is designed to: 1) Interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters, 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations, 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval.", + "license": "proprietary" + }, + { + "id": "c4djlh_1", + "title": "CAMEX-4 JPL LASER HYGROMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.215, 16.5317, -58.635, 39.71", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096272-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096272-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4djlh_1", + "description": "The CAMEX-4 JPL Laser Hygrometer dataset contains water vapor volume and mixing ratio concentractions collected during the CAMEX-4 campaign to study tropical cyclones. The Laser Hygrometer measures in situ water vapor content using a tuneable laser emitting at 1.37 microns. Absorption at that wavelength is a function of water vapor content, thus measuring the amount of absorption in an open path beyond the aircraft boundary layer, a value of water vapor pressure is made. The maximum sampling rate is 8 Hz, but the instrument is normally configured through the software for a 1Hz sampling rate.", + "license": "proprietary" + }, + { + "id": "c4dlase_1", + "title": "CAMEX-4 LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-15", + "end_date": "2001-09-25", + "bbox": "-116.19, 16.52, -58.63, 39.7", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096401-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096401-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dlase_1", + "description": "The CAMEX-4 LIDAR Atmospheric Sensing Experiment (LASE) dataset was collected by the LASE instrument, which is an airborne DIAL (Differential Absorption Lidar) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE operates by locking to a strong water vapor line and electronically tuning to any spectral position on the absorption line to choose the suitable absorption cross-section for optimum measurements over a range of water vapor concentrations in the atmosphere. During CAMEX-4, LASE operated from the NASA DC-8 using strong and weak water vapor lines in both the nadir and zenith modes, thereby simultaneously acquiring data below and above the aircraft.", + "license": "proprietary" + }, + { + "id": "c4dlip_1", + "title": "CAMEX-4 DC-8 LIGHTNING INSTRUMENT PACKAGE (LIP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-03", + "end_date": "2001-09-24", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096536-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096536-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dlip_1", + "description": "The CAMEX-4 DC-8 Lightning Instrument Package (LIP) dataset was collected by the ER-2 Lightning Instrument Package (LIP), which allows the vector components of the electric field (i.e, Ex, Ey, Ez) to be readily obtained, and thus, greatly improves our knowledge of the electrical structure of storms overflown during the CAMEX-4 campaign. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. Storm electric currents can be derived using the electric field and air conductivity measurements.", + "license": "proprietary" + }, + { + "id": "c4dmms_1", + "title": "CAMEX-4 DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.215, 16.531, -58.635, 39.712", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096645-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979096645-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dmms_1", + "description": "The CAMEX-4 DC-8 Meteorological Measurement System (MMS) was collected by the MMS, which consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The MMS data was collected during the CAMEX-4 campaign to study physical properties of atmospheric temperature.", + "license": "proprietary" + }, + { + "id": "c4dmtp_1", + "title": "CAMEX-4 DC-8 MICROWAVE TEMPERATURE PROFILER (MTP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.213, 16.531, -58.635, 39.71", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097179-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097179-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dmtp_1", + "description": "The CAMEX-4 DC-8 Microwave Temperature Profiler (MTP) dataset was collected by the MTP, which is a passive microwave radiometer used during the CAMEX-4 campaign to collect data measurements of thermal emmission from oxygen molecules in the atmosphere for a selection of elevation angles. Current observing frequencies are 56.6 and 58.8 GHz. Measured brightness temperature versus elevation angle is converted to air temperature versus altitude using a statistical retrieval procedure. An altitude temperature profile is produced every three km along the flight path. These data were collected from August 16 - September 25, 2002 from Jacksonville Naval Air Station, Florida.", + "license": "proprietary" + }, + { + "id": "c4dnevzor_1", + "title": "CAMEX-4 DC-8 NEVZOROV TOTAL CONDENSED WATER CONTENT SENSOR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-25", + "end_date": "2001-09-23", + "bbox": "-84.4033, 23.905, -58.635, 39.0433", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097324-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097324-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dnevzor_1", + "description": "The CAMEX-4 DC-8 Nevzorov Total Condensed Water Content Sensor dataset was collected by the Nevzorov total condensed water content sensor which was used to measure the total water content of air sampled during the CAMEX-4 campaign. The Nevzorov water vapor probe flew aboard the NASA DC-8 aircraft during CAMEX-4 to study tropical storms and hurricanes. Nevzorov is a so-called hot-wire device, where two resistors are heated to evaporate all hydrometeors that touch their surfaces during the flight. Due to their shape, they are able to catch small droplets or droplets and ice crystals. The amount of energy necessary to evaporate particles is a direct measure of the liquid water content of the hydrometeor (liquid or frozen) and also gives an indication of the water vapor present.", + "license": "proprietary" + }, + { + "id": "c4dpr2_1", + "title": "CAMEX-4 2ND GENERATION PRECIPITATION RADAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.215, 16.5617, -58.6883, 39.2033", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097458-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097458-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/c4dpr2_1", + "description": "The CAMEX-4 2nd Generation Precipitation Radar dataset was collected by the Second Generation Precipitation Radar (PR-2), which is a dual-frequency, Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem. The PR-2 Doppler radar was used during the CAMEX-4 campaign to collect data for studying tropical storms and cyclones.", + "license": "proprietary" + }, + { + "id": "c4dvid_1", + "title": "CAMEX-4 DC-8 FORWARD AND NADIR VIDEO", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-03", + "end_date": "2001-09-26", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553210-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553210-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4dvid_1", + "description": "The CAMEX-4 DC-8 Forward and NADIR Video dataset consists of DVDs which capture the forward and nadir views from the NASA DC-8 aircraft during CAMEX-4 flights. These videos contain timestamps and the recorded voice channels of the scientists and mission managers aboard the aircraft during flights studying storm conditions. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", + "license": "proprietary" + }, + { + "id": "c4eampr_1", + "title": "CAMEX-4 AMPR BRIGHTNESS TEMPERATURE (TB) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-26", + "end_date": "2001-09-25", + "bbox": "-83.8166, 23.7836, -61.3679, 39.7399", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097903-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979097903-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/c4eampr_1", + "description": "The CAMEX-4 AMPR Brightness Temperature (TB) dataset was collected by the Advanced Microwave Precipitation Radiometer (AMPR), which was deployed during the Fourth Convection and Moisture Experiment (CAMEX-4). AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 26 August 2001 through 24 September 2001. The purpose of the CAMEX-4 mission was to study hurricanes over land and ocean in the U.S., Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, and radiosonde sites.", + "license": "proprietary" + }, + { + "id": "c4eedop_1", + "title": "CAMEX-4 ER-2 DOPPLER RADAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-15", + "end_date": "2001-09-26", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098003-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098003-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4eedop_1", + "description": "The CAMEX-4 ER-2 Doppler Radar dataset was collected by the ER-2 Doppler radar (EDOP), which is an X-band (9.6 GHz) Doppler radar mounted in the nose of ER-2. The instrument has two fixed antennas, one pointing at nadir and the second pointing approximately 33 degrees ahead of nadir. The beam width of the antenna is 3 degrees in the vertical and horizontal directions which, for a 20 km altitude, yields a nadir footprint at the surface of 1 km.", + "license": "proprietary" + }, + { + "id": "c4eehad_1", + "title": "CAMEX-4 ER-2 HIGH ALTITUDE DROPSONDE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-24", + "bbox": "-82.028, 24.743, -62.005, 37.967", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098128-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098128-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4eehad_1", + "description": "The CAMEX-4 ER-2 High Altitude Dropsonde dataset was collected by the ER-2 High Altitude Dropsonde System (EHAD), which used dropwinsondes fitted with Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temp, humidity, windspeed/direction, pressure) and location in 3 dimensional space during the sonde's descent once each half second. Measurements was transmitted to the aircraft from the time of release until impact with the ocean's surface.", + "license": "proprietary" + }, + { + "id": "c4ehamsr_1", + "title": "CAMEX-4 HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.47, 13.4, -48.56, 39.45", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098226-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098226-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4ehamsr_1", + "description": "The CAMEX-4 High Altitude MMIC Sounding Radiometer (HAMSR) dataset was collected by the High Altitude Monolithic Microwave Integrated Circuit (MMIC) Sounding Radiometer (HAMSR), which is a microwave atmospheric sounder recently developed by JPL under the NASA Instrument Incubator Program. Operating with 25 spectral channels in the 50-190 HGz region, it provides measurements that can be used to infer the 3-D distribution of temperature, water vapor, and liquid water in the atmosphere, even in the presence of clouds. HAMSR was mounted in a wing pod of a NASA ER-2 research aircraft.", + "license": "proprietary" + }, + { + "id": "c4elip_1", + "title": "CAMEX-4 ER-2 LIGHTNING INSTRUMENT PACKAGE (LIP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.4781, 16.5617, -61.9795, 39.4583", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098477-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098477-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4elip_1", + "description": "The CAMEX-4 ER-2 Lightning Instrument Package (LIP) dataset was collected by the ER-2 LIP, which allows the vector components of the electric field (i.e, Ex, Ey, Ez ) to be readily obtained, and thus greatly improves our knowledge of the electrical structure of storms overflown. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. Storm electric currents can be derived using the electric field and air conductivity measurements.", + "license": "proprietary" + }, + { + "id": "c4emas_1", + "title": "CAMEX-4 ER-2 MODIS AIRBORNE SIMULATOR (MAS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.4527, 16.4311, -61.8203, 39.6253", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098622-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979098622-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4emas_1", + "description": "The MODIS Airborne Simulator (MAS) is an airborne scanning spectrometer that acquires high spatial resolution imagery of cloud and surface features from its vantage point on-board a NASA ER-2 high-altitude research aircraft. This dataset has visible and infrared imagery calibrated to at-sensor radiance. Included are many associated browse files including the flight line tracks, and also text files of nadir brightness temperature and radiance for selected bands.", + "license": "proprietary" + }, + { + "id": "c4emtp_1", + "title": "CAMEX-4 ER-2 MICROWAVE TEMPERATURE PROFILER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-26", + "end_date": "2001-09-25", + "bbox": "-85.744, 24.19, -61.98, 39.458", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099369-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099369-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4emtp_1", + "description": "The CAMEX-4 ER-2 Microwave Temperature Profiler dataset was collected by the Microwave Temperature Profiler (MTP), which is a passive microwave radiometer which measures the thermal emission from oxygen molecules in the atmosphere for a selection of elevation angles. Current observing frequencies are 56.6 and 58.8 GHz. Measured brightness temperature versus elevation angle is converted to air temperature versus altitude using a statistical retrieval procedure. An altitude temperature profile is produced every three km along the flight path. Data were collected from the Jacksonville Naval Air Station, Florida during the CAMEX-4 campaign spanning from August 26 - September 26. 2001.", + "license": "proprietary" + }, + { + "id": "c4enav_1", + "title": "CAMEX-4 ER-2 NAVIGATION DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-18", + "end_date": "2001-09-25", + "bbox": "-88.4781, 16.5617, -63.4356, 39.4583", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099479-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099479-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4enav_1", + "description": "The CAMEX-4 ER-2 Navigation data files contain information recorded by on board navigation and data collection systems. In addition to typical navigation data (e.g. date, time, lat/lon and altitude) these files contain outside meteorological parameters such as wind speed and direction and temperature. These ascii text files was recorded every second for the length of the sortie. Additionally, graphical representations of these measured parameters are shown in .gif files.", + "license": "proprietary" + }, + { + "id": "c4enlh_1", + "title": "CAMEX-4 NOAA LYMAN-ALPHA HYGROMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-15", + "end_date": "2001-09-26", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099590-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099590-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4enlh_1", + "description": "The CAMEX-4 NOAA Lyman-Alpha Hygrometer dataset was collected by the NOAA Lyman-alpha Total Water Hygrometer, which was flown during the fourth field campaign in the CAMEX series (CAMEX-4). CAMEX-4 ran from 16 August to 24 September 2001 and was based out of Jacksonville Naval Air Station, Florida, and included missions in the Gulf of Mexico, Caribbean and Western Atlantic. The experiment focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using both NASA-funded aircraft and surface remote sensing instrumentation.", + "license": "proprietary" + }, + { + "id": "c4eo3p_1", + "title": "CAMEX-4 DUAL-BEAM UV-ABSORPTION OZONE PHOTOMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-09", + "end_date": "2001-09-26", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099896-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979099896-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4eo3p_1", + "description": "The CAMEX-4 Dual-Beam UV-Absorption Ozone Photometer dataset was measured by using a photometer consisting of a mercury lamp, two sample chambers that could be peridically scrubbed of ozone, and two detectors that measured the 254-nm radiation transmitted through the chamber from the lamp. The ozone number density was calculated using the ozone absorption cross-section at 254nm and the Beer-Lambert Law. The one second data collection rate at the minimum detectable concentration of ozone (one sigma) was 1.5 x 1010 molecules/cm3.", + "license": "proprietary" + }, + { + "id": "c4gandros_1", + "title": "CAMEX-4 ANDROS ISLAND RAWINSONDE AND RADIOSONDES V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-16", + "end_date": "2001-09-24", + "bbox": "-77.844, 24.766, -77.842, 24.768", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100126-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100126-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/c4gandros_1", + "description": "The CAMEX-4 Andros Lisland Rawinsonde and Radiosondes dataset was collected by using numerous rawinsondes (radiosondes), which were launched from Andros Island in support of CAMEX-4. These sondes provided atmospheric soundings of temperature, pressure, relative humidity, wind, and altitude.", + "license": "proprietary" + }, + { + "id": "c4gmipclo_1", + "title": "CAMEX-4 MIPS CEILOMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-05", + "end_date": "2001-09-12", + "bbox": "-81.7, 24.6, -81.5, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100261-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100261-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipclo_1", + "description": "The CAMEX-4 MIPS Ceilometer dataset was collected by the University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS), which is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel Microwave Profiling Radiometer (MPR), Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset contains 15 minute averaged 3-D wind profiles.The ceilometer gathered backscatter power and up to three cloud base heights.", + "license": "proprietary" + }, + { + "id": "c4gmipfm_1", + "title": "CAMEX-4 MIPS FIELD MILL V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-14", + "end_date": "2001-09-14", + "bbox": "-81.7, 24.6, -81.5, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100395-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100395-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipfm_1", + "description": "The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of data from the Electric Field Mills which yield information about the atmospheric electrical fields above the instruments.", + "license": "proprietary" + }, + { + "id": "c4gmipmpr_1", + "title": "CAMEX-4 MIPS MICROWAVE PROFILING RADIOMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-15", + "end_date": "2001-09-12", + "bbox": "-81.7, 24.6, -81.5, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100507-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100507-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipmpr_1", + "description": "The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. The 12 channel microwave profiling radiometer provides profiles of temperature, water vapor and liquid water and integrated values of water vapor and liquid water from the surface to 10km every ~ 15 minutes. Cloud base temperature is also measured.", + "license": "proprietary" + }, + { + "id": "c4gmipsod_1", + "title": "CAMEX-4 MIPS SODAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-09-07", + "end_date": "2001-09-12", + "bbox": "-81.7, 24.6, -81.5, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100613-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100613-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipsod_1", + "description": "The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of cdf and mom files tarred together for a day. The 'cdf' file collects 15 minute average 3-D wind profiles from the Doppler Sodar starting at the beginning of each day. The 'mom' file contains data from each beam about radial velocity and backscattter intensity. Each horizontal beam is approximately 7 seconds apart; vertical beams are approximately 21 seconds apart.", + "license": "proprietary" + }, + { + "id": "c4gmipss1_1", + "title": "CAMEX-4 MIPS SURFACE STATION 1 V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-15", + "end_date": "2001-09-08", + "bbox": "-81.7, 24.6, -81.5, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100690-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100690-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipss1_1", + "description": "The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of data from Surface Station One containing multiple instruments including an anemometer, rain gauge, thermometer, pyranometer and barometer. Information, collected at 1Hz, includes windspeed and direction as well as precipitation, temperature/humidity, solar radiation, and atmospheric pressure.", + "license": "proprietary" + }, + { + "id": "c4gmipss2_1", + "title": "CAMEX-4 MIPS SURFACE STATION 2 V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-26", + "end_date": "2001-09-12", + "bbox": "-81.7, 24.6, -81.5, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100779-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100779-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipss2_1", + "description": "The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of data from Surface Station Two which contained multiple instruments including an anemometer, rain gauge, thermometer, pyranometer and barometer. Information, collected at 0.5 Hz, includes windspeed and direction as well as precipitation, temperature/humidity, solar radiation, and atmospheric pressure.", + "license": "proprietary" + }, + { + "id": "c4gmipwp_1", + "title": "CAMEX-4 MIPS 915 MHZ DOPPLER WIND PROFILER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-01", + "end_date": "2001-09-14", + "bbox": "-86.7, 24.68, -81.56, 34.7", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100871-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979100871-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmipwp_1", + "description": "The CAMEX-4 MIPS 915 MHZ Doppler Wind Profiler dataset was collected by the University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS), which is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset contains 15 minute averaged 3-D wind profiles. Additionally, radial velocity and backscatter intensity data are contained in the dataset.", + "license": "proprietary" + }, + { + "id": "c4gmisrep_1", + "title": "CAMEX-4 MISSION REPORTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-03", + "end_date": "2001-09-24", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979101696-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979101696-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gmisrep_1", + "description": "The Convection And Moisture EXperiment (CAMEX)-4 Mission Reports were filed every day that an aircraft flew in support of the experiment. The reports include a short description of the day's mission, its objective, and notes.", + "license": "proprietary" + }, + { + "id": "c4gnpol_1", + "title": "CAMEX-4 NASA PORTABLE S-BAND MULTIPARAMETER WX RESEARCH RADAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-17", + "end_date": "2001-09-28", + "bbox": "-83.1892, 23.2469, -80.1939, 25.9456", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979101817-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979101817-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gnpol_1", + "description": "The CAMEX-4 NASA Portable S-Band Multiparameter WX Research Radar dataset was collected by the NASA Portable S-band Multiparameter Weather Research Radar (NPOL), which is a Doppler S-band radar that when used continuously during an operation provides a full volume scan every ten minutes. Scans may be either 300km long range scans or 150km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities.", + "license": "proprietary" + }, + { + "id": "c4gsmart_1", + "title": "CAMEX-4 SHARED MOBILE ATMOSPHERIC RESEARCH AND TEACHING RADARS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-27", + "end_date": "2001-09-28", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979101931-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979101931-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gsmart_1", + "description": "The CAMEX-4 Shared Mobile Atmospheric Research and Teching Radars dataset was collected by the Shared Mobile Atmospheric Research and Teaching Radar (SMART-R), which is a portable 5 cm Doppler radar. All equipment (e.g., antenna, power generator, processors, and readout computers) are truck mounted to provide maximum transportability. Originally located in the Florida Keys during CAMEX-4, the radar was moved to the Venice Florida area for landfall of TS Gabrielle on September 14, 2001.", + "license": "proprietary" + }, + { + "id": "c4gtoga_1", + "title": "CAMEX-4 TOGA RADAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-15", + "end_date": "2001-09-28", + "bbox": "-82.9178, 23.3167, -79.8983, 26.0336", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102483-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102483-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gtoga_1", + "description": "The TOGA radar dataset consists of browse and radar data collected from the TOGA radar during the CAMEX-4 experiment. TOGA is a C-band linear polarized doppler radar using 500KW of radiated power. Products available include real time PPI scans of reflectivities and Doppler velocities.", + "license": "proprietary" + }, + { + "id": "c4gxpow_1", + "title": "CAMEX-4 MOBILE X-BAND POLARIMETRIC WEATHER RADAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-28", + "end_date": "2001-09-28", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102628-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102628-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4gxpow_1", + "description": "The CAMEX-4 Mobile X-Band Polarimetric Weather Radar dataset was collected by the Mobile X-band Polarimetric Weather Radar on Wheels (X-POW), which is a Doppler scanning radar operating at 9.3 GHz with horizontal and vertical polarization. The X-POW was used for detection and detailing of surface rainfall rate and precipitation classification fields, as well as for 3D precipitation microphysical retrievals including water/frozen hydrometeor contents and drop size distribution profiles. The X-POW was located in the Florida Keys during the CAMEX-4 field experiment.", + "license": "proprietary" + }, + { + "id": "c4p3cp_1", + "title": "CAMEX-4 NOAA WP-3D CLOUD PHYSICS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-09-03", + "end_date": "2001-09-19", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553578-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553578-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4p3cp_1", + "description": "The CAMEX-4 NOAA WP-3D Cloud Physics dataset used the NOAA WP-3D Orion aircraft, which has multiple meteorological and microphysical sensors. These include, for example, cloud particle imagers and temperature and dewpoint probes. CAMEX-4 focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. This dataset includes navigation data as well as the meteorological and microphysical data. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", + "license": "proprietary" + }, + { + "id": "c4p3flt_1", + "title": "CAMEX-4 NOAA WP-3D FLIGHT LEVEL DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-09-09", + "end_date": "2001-09-19", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553928-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553928-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4p3flt_1", + "description": "The CAMEX-4 NOAA WP-3D Flight Level Data dataset used the NOAA WP-3D Orion aircraft, which collects numerous in-situ meteorological measurements along with navigation and aircraft state parameters during each flight. CAMEX-4 focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. The WP-3D data are encoded on 8mm tapes in what is called the 'AOC Standard Tape Format'. Examples of meteorological data include total temperature, dew point, liquid water content and dynamic pressure (from several sensors). Aircraft parameters include angle of attack, airspeed, and slip angle. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", + "license": "proprietary" + }, + { + "id": "c4p3rad_1", + "title": "CAMEX-4 NOAA WP-3D RADAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-09-03", + "end_date": "2001-09-19", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553989-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995553989-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4p3rad_1", + "description": "The CAMEX-4 NPAA WP-3D Radar dataset used the NOAA WP-3D Orion aircraft, which has two separate research radars to collect meteorological data. One is mounted on the lower fuselage (C-band), and the other is located in the tail (X-band). CAMEX-4 focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. Data from these radars consist of reflectivity in range and azimuth coordinates collected either in the horizontal (lower fuselage) or vertical (tail radar) planes. Doppler radial velocity is also collected by the tail radar. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", + "license": "proprietary" + }, + { + "id": "c4p3vid_1", + "title": "CAMEX-4 NOAA WP-3D VIDEO V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-09-03", + "end_date": "2001-09-19", + "bbox": "-100, 10, -60, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995554052-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995554052-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/c4p3vid_1", + "description": "The CAMEX-4 NOAA WP-3D Video dataset was collected during the fourth field campaign in the CAMEX series (CAMEX-4), which ran from 16 August to 25 September, 2001 and was based out of Jacksonville Naval Air Station, Florida. An important addition to CAMEX-4 was the participation of the NOAA weather reconnaissance WP-3D that collected radar, video and microphysical data.The NOAA WP-3D Videos were created giving a forward, left, right and downward views relative to the aircraft. Each view is a separate tape. All are recoreded in SVHS format in compressed time mode. That means that the video shows time passing at a rate approximately 12.5 times that of normal speed (e.g. 1 minute real time takes 5 seconds on the video). For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", + "license": "proprietary" + }, + { + "id": "c4sg8_1", + "title": "CAMEX-4 GOES-8 PRODUCTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2001-08-03", + "end_date": "2001-09-21", + "bbox": "-130, 15, -10, 75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102757-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102757-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBjbG91ZCBtaWNyb3BoeXNpY3MgdjFcIixcIkdIUkNfREFBQ1wiLFwiYzRkY21cIixcIjFcIiwxOTc5MDgwOTE1LDE0XSIsInVtbSI6IltcImNhbWV4LTQgY2xvdWQgbWljcm9waHlzaWNzIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGNtXCIsXCIxXCIsMTk3OTA4MDkxNSwxNF0ifQ%3D%3D/c4sg8_1", + "description": "The CAMEX-4 GOES-8 Products dataset was collected during the CAMEX-4 field campaign, which ocused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. In support of the fourth Convection and Moisture Experiment (CAMEX-4), imagery from the Geostationary Operational Environmental Satellite 8 (GOES-8) was collected and archived. Three channels were archived: channel 1-- visible (0.65 microns), channel 2-- infrared (11 microns) and channel 3-- known as the water vapor channel (6.75 microns). Data files are available in McIDAS format, and browse imagery is also available.", + "license": "proprietary" + }, { "id": "c65ce27928f34ebd92224c451c2a8bed_NA", "title": "ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1", @@ -164046,6 +146795,84 @@ "description": "This dataset comprises the climatology on gridded data of snow water equivalent and snow melt runoff spanning 1998-2022, with a spatial resolution of 1 km and daily temporal resolution. This data was produced with the conceptual OSHD model (Temperature Index Model).", "license": "proprietary" }, + { + "id": "cmimpacts_1", + "title": "UND Cloud Microphysics IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-25", + "end_date": "2022-02-25", + "bbox": "-90.429, 33.261, -64.987, 47.275", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997744632-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997744632-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1widHJtbSB0cm9waWNhbCBjeWNsb25lIHByZWNpcGl0YXRpb24gZmVhdHVyZSAodGNwZikgZGF0YWJhc2UgLSBsZXZlbCAxIHYxXCIsXCJHSFJDX0RBQUNcIixcInRybW10Y3BmbDFcIixcIjFcIiwxOTgzMjU1MzY5LDEyXSIsInVtbSI6IltcInRybW0gdHJvcGljYWwgY3ljbG9uZSBwcmVjaXBpdGF0aW9uIGZlYXR1cmUgKHRjcGYpIGRhdGFiYXNlIC0gbGV2ZWwgMSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJ0cm1tdGNwZmwxXCIsXCIxXCIsMTk4MzI1NTM2OSwxMl0ifQ%3D%3D/cmimpacts_1", + "description": "The UND Cloud Microphysics IMPACTS dataset consists of cloud particle measurements collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The UND Cloud Microphysics IMPACTS dataset files are stored in ASCII format from January 25, 2020 through February 26, 2020, and from January 6, 2022 through February 25, 2022.", + "license": "proprietary" + }, + { + "id": "cmx3aeri_1", + "title": "CAMEX-3 ATMOSPHERIC EMITTED RADIANCE INTERFEROMETER (AERI) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-04", + "end_date": "1998-09-20", + "bbox": "-78.584, 24.34, -77.403, 25.139", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102909-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979102909-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/cmx3aeri_1", + "description": "The Atmospheric Emitted Radiance Interferometer (AERI) was used to make atmospheric temperature and moisture retrievals. AERI provides absolutely calibrated radiances which can be used for forward calculation comparisons of radiosonde and LIDAR (for CAMEX-3, the SRL) profiles and provides a reference to the airborne and ground based remote sensing instruments. Additionally, AERI radiances contain valuable temperature and water vapor information which can be used to retrieve planetary boundary layer thermodynamics. The University of Wisconsin-Madison, Space Science and Engineering Center was responsible for the AERI data collection during CAMEX-3 campaign.", + "license": "proprietary" + }, + { + "id": "cmx3andros_1", + "title": "CAMEX-3 ANDROS ISLAND RAWINSONDE AND RADIOSONDES V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-04", + "end_date": "1998-09-20", + "bbox": "-78.584, 24.34, -77.403, 25.139", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103240-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103240-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/cmx3andros_1", + "description": "In support of CAMEX-3, numerous radiosonde and rawinsondes were launched from Andros Island, which consisted of instruments manufactured by VIS and Vaisala. Some sondes were GPS or LORAN located so that winds aloft could be determined without ground based tracking systems. Data from the sondes were used to validate several ground based instruments observing the lower troposphere.", + "license": "proprietary" + }, + { + "id": "cmx3g8_1", + "title": "CAMEX-3 GOES-8 PRODUCTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-05", + "end_date": "1998-09-30", + "bbox": "-100, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103576-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103576-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/cmx3g8_1", + "description": "In support of the third Convection and Moisture Experiment (CAMEX-3), imagery from the Geostationary Operational Environmental Satellite 8 (GOES-8) was collected and archived. Three channels were archived: channel 1-- visible (0.65 microns), channel 2-- infrared (11 microns) and channel 3, which is known as the water vapor channel (6.75 microns).", + "license": "proprietary" + }, + { + "id": "cmx3misrep_1", + "title": "CAMEX-3 MISSION REPORTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-08", + "end_date": "1998-09-13", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103872-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103872-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/cmx3misrep_1", + "description": "The Convection And Moisture EXperiment (CAMEX)-3 Mission Reports were filed every day that an aircraft flew in support of the experiment. The reports include a short description of the day's mission, its objective, and notes.", + "license": "proprietary" + }, + { + "id": "cmx3srl_1", + "title": "CAMEX-3 SCANNING RAMAN LIDAR V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-06", + "end_date": "1998-09-20", + "bbox": "-77.9, 24.7, -77.8, 24.8", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103958-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979103958-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/cmx3srl_1", + "description": "The CAMEX-3 Scanning Raman LIDAR dataset collected data during the CAMEX-3 campaign on Andros Island during the period 6 August - 20 September 1998. The SRL instrument is designed to determine the composition and vertical distribution of several atmospheric constituents, specifically water vapor and aerosols.", + "license": "proprietary" + }, { "id": "co2_emissions_1deg_1021_1", "title": "ISLSCP II Carbon Dioxide Emissions from Fossil Fuels, Cement, and Gas Flaring", @@ -164133,7 +146960,7 @@ "bbox": "6.5678716, 46.5207841, 6.5678716, 46.5207841", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2789814580-ENVIDAT.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789814580-ENVIDAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=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-in-snow_1.0", + "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wic2hhZGluZyBieSB0cmVlcyBhbmQgZnJhY3Rpb25hbCBzbm93IGNvdmVyIGNvbnRyb2wgdGhlIHN1YmNhbm9weSByYWRpYXRpb24gYnVkZ2V0XCIsXCJFTlZJREFUXCIsXCJmb3Jlc3QtcmFkaWF0aW9uLWRhdGFcIixcIjEuMFwiLDI3ODk4MTUyNzIsNl0iLCJ1bW0iOiJbXCJzaGFkaW5nIGJ5IHRyZWVzIGFuZCBmcmFjdGlvbmFsIHNub3cgY292ZXIgY29udHJvbCB0aGUgc3ViY2Fub3B5IHJhZGlhdGlvbiBidWRnZXRcIixcIkVOVklEQVRcIixcImZvcmVzdC1yYWRpYXRpb24tZGF0YVwiLFwiMS4wXCIsMjc4OTgxNTI3Miw2XSJ9/convection-in-snow_1.0", "description": "snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).", "license": "proprietary" }, @@ -164146,7 +146973,7 @@ "bbox": "6.5678716, 46.5207841, 6.5678716, 46.5207841", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2789814580-ENVIDAT.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789814580-ENVIDAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wic2hhZGluZyBieSB0cmVlcyBhbmQgZnJhY3Rpb25hbCBzbm93IGNvdmVyIGNvbnRyb2wgdGhlIHN1YmNhbm9weSByYWRpYXRpb24gYnVkZ2V0XCIsXCJFTlZJREFUXCIsXCJmb3Jlc3QtcmFkaWF0aW9uLWRhdGFcIixcIjEuMFwiLDI3ODk4MTUyNzIsNl0iLCJ1bW0iOiJbXCJzaGFkaW5nIGJ5IHRyZWVzIGFuZCBmcmFjdGlvbmFsIHNub3cgY292ZXIgY29udHJvbCB0aGUgc3ViY2Fub3B5IHJhZGlhdGlvbiBidWRnZXRcIixcIkVOVklEQVRcIixcImZvcmVzdC1yYWRpYXRpb24tZGF0YVwiLFwiMS4wXCIsMjc4OTgxNTI3Miw2XSJ9/convection-in-snow_1.0", + "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=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-in-snow_1.0", "description": "snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).", "license": "proprietary" }, @@ -164176,6 +147003,19 @@ "description": "Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models. Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1\u2019900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps. Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r\u22430.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation.", "license": "proprietary" }, + { + "id": "cosmirimpacts_1", + "title": "Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-15", + "end_date": "2022-02-28", + "bbox": "-116.701, 30.5854, -62.6816, 48.5552", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995565150-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995565150-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/cosmirimpacts_1", + "description": "The Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) IMPACTS dataset consists of brightness temperature measurements collected by the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) flown onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31\u00b11, 183.31\u00b13, and 183.31\u00b17 GHz. The brightness temperature data from CoSMIR are available from January 15, 2020 through February 28, 2022 in netCDF-4 format.", + "license": "proprietary" + }, { "id": "cosmo-wrf-documentation_1.0", "title": "Running COSMO-WRF on very-high resolution over complex terrain", @@ -164189,6 +147029,19 @@ "description": "This is a technical documentation of the procedure to run the Weather Research and Forecasting (WRF) model over complex alpine terrain using Consortium for Small-Scale Modeling (COSMO) reanalysis by the Federal Office of Meteorology and Climatology (MeteoSwiss) as initial and boundary conditions (COMSO-WRF). The setup is adapted for very high resolution simulations based on COSMO-2 (2.2 km resolution) reanalysis. This document gives an overview over steps to setup COSMO-WRF and adaptations needed to run COSMO-WRF. Additionally, the calculation of precipitation rate at a horizontal plane and remapping COSMO-WRF output on Swiss coordinates are documented.", "license": "proprietary" }, + { + "id": "cossirimpacts_1", + "title": "Compact Scanning Submillimter-wave Imaging Radiometer (CoSSIR) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2023-01-05", + "end_date": "2023-03-02", + "bbox": "-115.701, 26.395, -66.647, 49.36", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3104921929-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3104921929-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/cossirimpacts_1", + "description": "The Compact Scanning Submillimeter-wave Imaging Radiometer (CoSSIR) IMPACTS dataset consists of data measured onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The CoSSIR dataset consists of measured ice clouds and brightness temperatures, water vapor profiles, and snowfall rates. CoSSIR data are available from January 5, 2023, through March 2, 2023, in netCDF-4 format.", + "license": "proprietary" + }, { "id": "cp_lidar_images_721_1", "title": "SAFARI 2000 Cloud Physics Lidar (CPL) Quicklook Images and Maps", @@ -164202,6 +147055,19 @@ "description": "The effect of clouds and aerosols on regional and global climate is of great importance. Two longstanding elements of the NASA climate and radiation science program are field studies incorporating airborne remote-sensing and in-situ measurements of clouds and aerosols. is Data products include: (1) cloud profiling with 30-m vertical and 200-m horizontal resolution at 1064 nm, 532 nm, and 355 nm;(2) aerosol, boundary layer, and smoke plume profiling;(3) optical depth estimates (column and by layer); and(4) extinction profiles. The CPL provides information to permit a comprehensive analysis of radiative and optical properties of optically thin clouds. Data users are asked to read and abide by the CPL data usage policy found at [http://virl.gsfc.nasa.gov/cpl/cpl_register.htm].", "license": "proprietary" }, + { + "id": "cplimpacts_1", + "title": "Cloud Physics LiDAR (CPL) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-15", + "end_date": "2023-03-02", + "bbox": "-117.23, 26.907, -64.894, 48.657", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995565938-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995565938-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/cplimpacts_1", + "description": "The Cloud Physics LiDAR (CPL) IMPACTS dataset consists of backscatter coefficient, lidar depolarization ratio, layer top/base height, layer type, particulate extinction coefficient, ice water content, and layer/cumulative optical depth data collected from the Cloud Physics LiDAR (CPL) onboard the NASA ER-2 high-altitude research aircraft in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The dataset files are available in HDF-5 format from January 15, 2020, through March 2, 2023.", + "license": "proprietary" + }, { "id": "crack-propagation-in-weak-snowpack-layers-insights-from-high-speed-photography_1.0", "title": "Dataset for \"Dynamic crack propagation in weak snowpack layers: Insights from high-resolution, high-speed photography\"", @@ -164267,6 +147133,19 @@ "description": "This data set contains a single data file (.csv format) that provides gridded values of net primary productivity (NPP) for cropland in eight counties in the central United States for the year 1992 and estimates of interannual cropland NPP in Iowa for years from 1982 through 1996. The data file also includes climate, soil texture, and land cover data for each 0.5 degree grid cell. The magnitude and interannual variation in NPP was estimated using crop area and yield data from the U.S. Department of Agriculture, National Agricultural Statistics Service (NASS). The major harvested commodities were corn, soybean, sorghum, sunflower, oats, barley, wheat, and hay. Total NPP estimates include both above- and below-ground components. County-level NPP in 1992 ranged from 195 to 760 gC/m2/year. The area of highest NPP, ranging from 650 to 760 gC/m2/year, was found in a band extending across Iowa, through northern Illinois, Indiana, and southwestern Ohio. Areas of moderate NPP, from 550 to 650 gC/m2/year, occurred mostly in Michigan and Wisconsin, while large areas of low NPP, from 200 to 550 gC/m2/year, occurred in North Dakota, southern Illinois, and Minnesota. The area of highest production was also the area with the largest proportion of land sown with corn and soybean. NPP for counties in Iowa varied among years (1982-1996) by a factor of 2, with the lowest NPP in 1983 (which had an unusually wet spring), in 1988 (which was a drought year), and in 1993 (which experienced floods). Revision Notes: The documentation for this data set has been modified, and the data files have been reformatted. The data files have been checked for accuracy and the contents are identical to those originally published in 2001. ", "license": "proprietary" }, + { + "id": "crsimpacts_1", + "title": "Cloud Radar System (CRS) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-25", + "end_date": "2023-02-28", + "bbox": "-95.46, 31.073, -64.894, 48.658", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871269-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871269-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtNCBsaWRhciBhdG1vc3BoZXJpYyBzZW5zaW5nIGV4cGVyaW1lbnQgKGxhc2UpIHYxXCIsXCJHSFJDX0RBQUNcIixcImM0ZGxhc2VcIixcIjFcIiwxOTc5MDk2NDAxLDE2XSIsInVtbSI6IltcImNhbWV4LTQgbGlkYXIgYXRtb3NwaGVyaWMgc2Vuc2luZyBleHBlcmltZW50IChsYXNlKSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJjNGRsYXNlXCIsXCIxXCIsMTk3OTA5NjQwMSwxNl0ifQ%3D%3D/crsimpacts_1", + "description": "The Cloud Radar System (CRS) IMPACTS dataset consists of calibrated radar reflectivity, Doppler velocity, linear depolarization ratio, and normalized radar cross-section estimates collected by the Cloud Radar System (CRS) onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The CRS IMPACTS dataset files are available from January 25, 2020, through February 28, 2023, in HDF-5 format.", + "license": "proprietary" + }, { "id": "cru_monthly_climate_xdeg_1014_1", "title": "ISLSCP II CRU05 Climate Time Series for Global Land Areas, 1986-1995", @@ -164293,6 +147172,19 @@ "description": "This data set contains a mean monthly climatology for several climate variables averaged over the period from 1961 to 1990, and constructed from a data set of station 1961-1990 climatological normals, numbering between 19,800 (precipitation) and 3,615 (windspeed; see New et al, 1999 for details). The station data were interpolated as a function of latitude, longitude and elevation using thin-plate splines. The data comprise a suite of climate elements: precipitation, mean, maximum, and minimum temperature, frost frequency, diurnal temperature range, radiation, wet-day frequency, vapor pressure, wind, and cloud cover. There are 23 files in this data set provided at 0.5 and 1.0 degree spatial resolutions. ", "license": "proprietary" }, + { + "id": "csgcpex01_1", + "title": "GPM GROUND VALIDATION GCPEX SNOW MICROPHYSICS CASE STUDY V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-02-24", + "end_date": "2012-02-25", + "bbox": "-80.4026, 43.4595, -78.7616, 46.3966", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979104136-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979104136-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/csgcpex01_1", + "description": "The GPM Ground Validation GCPEX Snow Microphysics Case Study characterizes the 3-D microphysical evolution and distribution of snow in context of the thermodynamic environment observed during the February 24th, 2012 event of the GPM Cold-season Precipitation Experiment (GCPEx). The GPM Cold-season Precipitation Experiment occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of snow. This case study includes data from the Airborne Second Generation Precipitation Radar (APR-2), Dual-frequency Dual-polarized Doppler Radar (D3R), Dual Polarization Radiometer and the NCAR Cloud Microphysics Particle Probes.", + "license": "proprietary" + }, { "id": "d12fc40e4f254ce38303157fa460f01c_NA", "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (SU algorithm), Version 4.3", @@ -164449,71 +147341,6 @@ "description": "The data set contains the danger descriptions (German) of the avalanche forecasts published at 5 pm between 27-Nov-2012 and 13-Feb-2020.", "license": "proprietary" }, - { - "id": "darling_sst_00_Not provided", - "title": "2000 Seawater Temperatures at the Darling Marine Center", - "catalog": "SCIOPS STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2000-12-31", - "bbox": "-71.31, 42.85, -66.74, 47.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621651-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621651-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMTk5Ny0xOTk4IHJhdyBkYXRhIG9mIGN0ZCBpbiBwcnlkeiBiYXkgcmVnaW9uIG9mIHRoZSBzb3V0aGVybiBpbmRpYW4gb2NlYW4sIGNoaW5hcmUtMTRcIixcIlNDSU9QU1wiLFwiMTk5Ny0xOTk4XzE0LTE0X1NfT0NfT0MwNV9MT19PMDExMzAxXzAwMF9SMF9ZXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTg3MTU3LDNdIiwidW1tIjoiW1wiMTk5Ny0xOTk4IHJhdyBkYXRhIG9mIGN0ZCBpbiBwcnlkeiBiYXkgcmVnaW9uIG9mIHRoZSBzb3V0aGVybiBpbmRpYW4gb2NlYW4sIGNoaW5hcmUtMTRcIixcIlNDSU9QU1wiLFwiMTk5Ny0xOTk4XzE0LTE0X1NfT0NfT0MwNV9MT19PMDExMzAxXzAwMF9SMF9ZXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTg3MTU3LDNdIn0%3D/darling_sst_00_Not%20provided", - "description": "2000 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine", - "license": "proprietary" - }, - { - "id": "darling_sst_01_Not provided", - "title": "2001 Seawater Temperatures at the Darling Marine Center", - "catalog": "SCIOPS STAC Catalog", - "state_date": "2001-01-01", - "end_date": "2001-04-20", - "bbox": "-71.31, 42.85, -66.74, 47.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214612276-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214612276-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMjAwMSBtcnNpZCBtb3NhaWNzIGNkLXJvbSBpbmRleFwiLFwiU0NJT1BTXCIsXCJNYXNzR0lTX0dJU0RBVEEuQ09RSE1PU0FJQ1NDRFNfUE9MWVwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDU5Mjg4MCw4XSIsInVtbSI6IltcIjIwMDEgbXJzaWQgbW9zYWljcyBjZC1yb20gaW5kZXhcIixcIlNDSU9QU1wiLFwiTWFzc0dJU19HSVNEQVRBLkNPUUhNT1NBSUNTQ0RTX1BPTFlcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ1OTI4ODAsOF0ifQ%3D%3D/darling_sst_01_Not%20provided", - "description": "2001 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center Walpole, Maine.", - "license": "proprietary" - }, - { - "id": "darling_sst_82-93_Not provided", - "title": "1982-1989 and 1993 Seawater Temperatures at the Darling Marine Center", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1982-03-01", - "end_date": "1993-12-31", - "bbox": "-71.31, 42.85, -66.74, 47.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621676-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621676-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/darling_sst_82-93_Not%20provided", - "description": "Seawater Surface Temperature Data Collected between the years 1982-1989 and 1993 off the dock at the Darling Marine Center, Walpole, Maine", - "license": "proprietary" - }, - { - "id": "darling_sst_97_Not provided", - "title": "1997 Seawater Temperatures at the Darling Marine Center", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1997-01-01", - "end_date": "1997-12-31", - "bbox": "-71.31, 42.85, -66.74, 47.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621650-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621650-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections/darling_sst_97_Not%20provided", - "description": "1997 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine", - "license": "proprietary" - }, - { - "id": "darling_sst_99_Not provided", - "title": "1999 Seawater Temperatures at the Darling Marine Center", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1999-01-01", - "end_date": "1999-12-31", - "bbox": "-71.31, 42.85, -66.74, 47.67", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214612327-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214612327-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMTk5Ny0xOTk4IHJhdyBkYXRhIG9mIGN0ZCBpbiBwcnlkeiBiYXkgcmVnaW9uIG9mIHRoZSBzb3V0aGVybiBpbmRpYW4gb2NlYW4sIGNoaW5hcmUtMTRcIixcIlNDSU9QU1wiLFwiMTk5Ny0xOTk4XzE0LTE0X1NfT0NfT0MwNV9MT19PMDExMzAxXzAwMF9SMF9ZXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTg3MTU3LDNdIiwidW1tIjoiW1wiMTk5Ny0xOTk4IHJhdyBkYXRhIG9mIGN0ZCBpbiBwcnlkeiBiYXkgcmVnaW9uIG9mIHRoZSBzb3V0aGVybiBpbmRpYW4gb2NlYW4sIGNoaW5hcmUtMTRcIixcIlNDSU9QU1wiLFwiMTk5Ny0xOTk4XzE0LTE0X1NfT0NfT0MwNV9MT19PMDExMzAxXzAwMF9SMF9ZXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTg3MTU3LDNdIn0%3D/darling_sst_99_Not%20provided", - "description": "1999 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center Walpole, Maine.", - "license": "proprietary" - }, { "id": "data-amphibian-monitoring_1.0", "title": "Data from: Estimation of breeding probbability can make monitoring data more revealing: a case study of amphibians", @@ -164904,6 +147731,149 @@ "description": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.This dataset contains the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection).", "license": "proprietary" }, + { + "id": "dc8ammr_1", + "title": "CAMEX-3 DC-8 Airborne Multichannel Microwave Radiometer (AMMR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-20", + "end_date": "1998-09-17", + "bbox": "-86.165, 26.153, -78.982, 30.477", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979104228-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979104228-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/dc8ammr_1", + "description": "The CAMEX-3 DC-8 Airborne Multichannel Microwave Radiometer (AMMR) dataset is a browse-only dataset that consists of plotted digital count measurements collected by the Airborne Multichannel Microwave Radiometer (AMMR) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. The AMMR was mounted onboard the NASA DC-8 aircraft. Daily browse files in GIF format are available for August 20, September 2, and September 17, 1998.", + "license": "proprietary" + }, + { + "id": "dc8avaps_1", + "title": "CAMEX-3 AIRBORNE VERTICAL ATMOSPHERE PROFILING SYSTEM (AVAPS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-15", + "end_date": "1998-09-22", + "bbox": "-85.7233, 14.0367, -63.549, 34.06", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979104659-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979104659-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/dc8avaps_1", + "description": "The CAMEX-3 DC-8 Airborne Vertical Atmospheric Profiling System (AVAPS) dataset consists of measurements from AVAPS, which uses dropsonde and Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temperature, humidity, wind speed/direction, pressure) and location in 3-dimensional space during the dropsonde's descent once each half second. These measurements were collected in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of tropical cyclones in the region. AVAPS provided vertical profiles of temperature, humidity, pressure, and winds. The dataset files are available in netCDF-3 and ASCII format with browse imagery available in GIF image format.", + "license": "proprietary" + }, + { + "id": "dc8capac_1", + "title": "CAMEX-3 CLOUD AND AEROSOL PARTICLE CHARACTERIZATION (CAPAC) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-15", + "end_date": "1998-09-23", + "bbox": "-86.165, 14.045, -62.96, 39.0333", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110321-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110321-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/dc8capac_1", + "description": "CAPAC is a series of three instruments: the Forward Scattering Spectrometer Probe model 300 (FSSP-300), the Two Dimensional Optical Array Probes [Cloud and Precipitation Probes (2D-P)] and the CAPAC video. These instruments flew during CAMEX-3 upon the NASA DC-8 mounted on the left wing. Cloud and aerosol particles were exposed to laser light to measure particle size from 0.3 micrometer to 6.4 millimeter, and both size and shape between 40 micrometer and 6.4 millimeter particle diameter as function of particle size. The size distributions thus determined were integrated to yield particle surface area, and ice and liquid water contents in clouds and precipitation. The purpose of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S. Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, radiosonde and rain gauge sites.", + "license": "proprietary" + }, + { + "id": "dc8capacv_1", + "title": "CAMEX-3 CLOUD AND AEROSOL PARTICLE CHARACTERIZATION VIDEO V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-10", + "end_date": "1998-09-02", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995554198-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995554198-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/dc8capacv_1", + "description": "CAPAC is a series of three instruments: the Forward Scattering Spectrometer Probe model 300 (FSSP-300), the Two Dimensional Optical Array Probes [Cloud and Precipitation Probes (2D-P)] and the CAPAC video. These instruments flew during CAMEX-3 upon the NASA DC-8 mounted on the left wing. Cloud and aerosol particles were exposed to laser light to measure particle size from 0.3 micrometer to 6.4 millimeter, and both size and shape between 40 micrometer and 6.4 millimeter particle diameter as function of particle size. The size distributions thus determined were integrated to yield particle surface area, and ice and liquid water contents in clouds and precipitation. CAPAC videos are a visual record of the particles and hydrometeors passing through the instrument housing. The purpose of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S. Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, radiosonde and rain gauge sites. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", + "license": "proprietary" + }, + { + "id": "dc8dads_1", + "title": "CAMEX-3 DC-8 NAVIGATION (DADS) DATA", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-15", + "end_date": "1998-09-23", + "bbox": "-86.165, 14.045, -62.96, 39.0333", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110434-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110434-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/dc8dads_1", + "description": "The CAMEX-3 DC-8 Navigation Data Acquisition and Distribution System (DADS) data files contain information recorded by navigation and data collection systems onboard the NASA DC-8 aircraft. These data files contain typical navigation data (e.g. date, time, lat/lon, altitude), and meteorological parameters (e.g. wind speed and direction, temperature, saturation vapor pressure) collected in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of tropical cyclones in the region. These data are available in ASCII file format with browse imagery available in GIF file format. Each file contains data recorded at one second intervals for each flight.", + "license": "proprietary" + }, + { + "id": "dc8jplsaw_1", + "title": "CAMEX-3 JPL SURFACE ACOUSTIC WAVE (SAW) HYGROMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-15", + "end_date": "1998-09-23", + "bbox": "-86.165, 14.045, -62.96, 39.0333", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110644-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110644-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/dc8jplsaw_1", + "description": "This CAMEX-3 Jet Propulsion Laboratory (JPL) Surface Acoustic Wave (SAW) Hygrometer dataset consists of dewpoint timeline measurements acquired during each DC-8 flight in August and September of 1998.", + "license": "proprietary" + }, + { + "id": "dc8lase_1", + "title": "CAMEX-3 LiDAR Atmospheric Sensing Experiment (LASE) Imagery", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-21", + "end_date": "1998-09-05", + "bbox": "-82.2817, 20.0617, -62.995, 39.0333", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110748-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110748-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/dc8lase_1", + "description": "The CAMEX-3 LiDAR Atmospheric Sensing Experiment (LASE) Imagery dataset is a browse-only dataset that consists of plotted reflectivity data collected by the LiDAR Atmospheric Sensing Experiment (LASE) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. The LiDAR was mounted onboard the NASA DC-8 aircraft, and the daily browse files are available from August 21 through September 5, 1998 in GIF format.", + "license": "proprietary" + }, + { + "id": "dc8laserh_1", + "title": "CAMEX-3 JPL LASER HYGROMETER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-15", + "end_date": "1998-09-23", + "bbox": "-86.165, 14.045, -62.96, 39.0333", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110870-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979110870-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/dc8laserh_1", + "description": "The CAMEX-3 Jet Propulsion Laboratory (JPL) Laser Hygrometer datasets consists of timeline measurements of water vapor content colllected during DC-8 flights flown during August and September of 1998. The JPL Laser Hygrometer acquired in situ measurments of the free airstream beyond the boundary layer within the immediate proximity of the aircraft along the flight track.", + "license": "proprietary" + }, + { + "id": "dc8macaws_1", + "title": "CAMEX-3 MACAWS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-21", + "end_date": "1998-09-22", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111024-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111024-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/dc8macaws_1", + "description": "The Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) was deployed during the Third Convection and Moisture Experiment (CAMEX-3). MACAWS data for the line-of-sight velocity and intensity as a function of range, backscattered intensity, turbulence approximation, and complex covariance was gathered for the period of 3 August 1998 through 22 September 1998. The objective of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S., Gulf of Mexico, Caribbean, and Western Atlantic ocean in coordination with multiple aircraft and reserach-quality radar, lightning, radiosonde, and raingauge sites.", + "license": "proprietary" + }, + { + "id": "dc8mms_1", + "title": "CAMEX-3 DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-03", + "end_date": "1998-09-23", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111218-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111218-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/dc8mms_1", + "description": "The CAMEX-3 Meteorological Measurement System (MMS) dataset consists of atmospheric parameters measured by the MMS instruments aboard NASA DC-8 aircraft. The MMS consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The MMS dataset consits of atmospheric pressure, temperature, and wind measurements collected during the CAMEX-3 mission to study hurricanes over the land and ocean in the U.S Gulf of Mexico, Caribbean, and Western Atlantic Ocean.", + "license": "proprietary" + }, + { + "id": "dc8psr_1", + "title": "CAMEX-3 POLARIMETRIC SCANNING RADIOMETER (PSR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-06", + "end_date": "1998-09-23", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111637-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111637-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/dc8psr_1", + "description": "The Polarimetric Scanning Radiometer (PSR) is a versatile airborne microwave imaging radiometer developed by the Georgia Institute of Technology and the NOAA Environmental Technology Laboratory for the purpose of obtaining polarimetric microwave emission imagery of the Earth's oceans, land, ice, clouds, and precipitation.", + "license": "proprietary" + }, { "id": "dd3da2570363429791b51120bdd29c02_NA", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.2", @@ -165151,162 +148121,6 @@ "description": "Index based on the number of tree and shrub species starting at 12 cm dbh in the upper layer and the occurrence of especially ecologically valuable tree and shrub species starting at 12 cm dbh in the upper layer. __Citation:__ > _Abegg, M.; Br\u00e4ndli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; R\u00f6sler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_", "license": "proprietary" }, - { - "id": "doi:10.25921/sta3-3b95_Not Applicable", - "title": "2014-2015 Untrawlable Habitat Strategic Initiative (UHSI) Video and Still Imagery Data Collection", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-09-08", - "end_date": "2015-05-08", - "bbox": "-84.4, 27.7, -83.4, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094639-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094639-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/doi%3A10.25921%2Fsta3-3b95_Not%20Applicable", - "description": "The data collection deals with the optical data (i.e., video and still imagery) collected by natural light stereo cameras mounted on a MOdular Underwater Sampling System (MOUSS). The data collection consists of natively collected still images (5 frames per second) as well as the full length video and video segments that were created from original still images. Video annotations exist for the video segments; annotations are currently housed within a spreadsheet. The purpose was to execute a testbed study designed to evaluate the performance of transitional advanced technologies. All data are spatially located in the Florida Middle Grounds in the Gulf of Mexico.", - "license": "proprietary" - }, - { - "id": "doi:10.25921/v3a2-m248_Not Applicable", - "title": "Archival and Discovery of November 27, 1945 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1945-11-15", - "end_date": "1945-12-01", - "bbox": "66.97, 24.804, 66.97, 24.804", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865668-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865668-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/doi%3A10.25921%2Fv3a2-m248_Not%20Applicable", - "description": "These water level data were digitized from a scanned marigram image associated with the tsunami event of 1945-11-27 at a tide gauge located at Karachi, Pakistan, and referenced to station datum. The Karachi marigram is one of the two instrumental records existing of the 1945 Makran tsunami and spans most of the 16 days between November 15 and December 1. The original Karachi analog record belongs to the Survey of India (SOI) and was collected and digitized by the National Institute of Oceanography (NIO) and Indian National Center for Ocean Information Services (INCOIS) for use in the publication of a few scientific papers. This digital marigram scan was reformatted into the accompanying digital, numerical time series by the Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO. Acknowledgement of SOI, NIO, and INCOIS should be included in any future scientific works using this record.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V51R6NQJ_Not Applicable", - "title": "Archival and Discovery of May 22, 1960 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1960-05-18", - "end_date": "1960-05-27", - "bbox": "144.6539, 8.966667, -149.426667, 60.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865673-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865673-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/doi%3A10.7289%2FV51R6NQJ_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V54X564T_Not Applicable", - "title": "Archival and Discovery of May 16, 1968 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-05-13", - "end_date": "1968-05-19", - "bbox": "141, 13.4387, -124.18333, 41.745", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865675-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865675-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/doi%3A10.7289%2FV54X564T_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V55H7DGQ_Not Applicable", - "title": "Archival and Discovery of November 4, 1952 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1952-10-29", - "end_date": "1952-11-08", - "bbox": "167.7383, -18.4758, -159.5916666, 54.317", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865672-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865672-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/doi%3A10.7289%2FV55H7DGQ_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V57H1GW8_Not Applicable", - "title": "Archival and Discovery of June 15, 1896 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1896-06-13", - "end_date": "1896-06-21", - "bbox": "-157.86667, 21.30667, -122.47834, 37.85", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865667-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865667-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/doi%3A10.7289%2FV57H1GW8_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V5862DPB_Not Applicable", - "title": "Airborne Magnetic Trackline Database", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1958-12-06", - "end_date": "2011-02-26", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107121616-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107121616-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/doi%3A10.7289%2FV5862DPB_Not%20Applicable", - "description": "The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) receive airborne magnetic survey data from US and non-US agencies. In an effort to provide a central library for digital aeromagnetic data in the public domain, NCEI is continuing to assimilate new digital data from aeromagnetic surveys in the United States. Major contributors to this important data base include the U.S. Geological Survey, U.S. Naval Oceanographic Office, U.S. Naval Research Laboratory, Woods Hole Oceanographic Institution, the University of Texas, and the Natural Resources Canada (NRCAN). The details of these surveys are contained in an automated inventory system Geophysical Data System (GEODAS). The philosophy of exchange of data from the archive for new contributions has stimulated many organizations to transfer their data holdings to the Data Center.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V598856F_Not Applicable", - "title": "Archival and Discovery of April 1, 1946 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1946-04-01", - "end_date": "1946-04-04", - "bbox": "145.583333, 35.017222, -123.3707, 48.424666", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865670-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865670-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/doi%3A10.7289%2FV598856F_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V5C827KJ_Not Applicable", - "title": "Archival and Discovery of August 27, 1883 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1883-08-24", - "end_date": "1883-09-01", - "bbox": "-157.86444, 21.30333, -122.47833, 57.7833", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865669-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865669-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/doi%3A10.7289%2FV5C827KJ_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V5GX48VS_Not Applicable", - "title": "Archival and Discovery of December 23, 1854 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1854-12-21", - "end_date": "1854-12-27", - "bbox": "-122.4375, 32.70059, -117.22565, 37.69944", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865663-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865663-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/doi%3A10.7289%2FV5GX48VS_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V5TM78D3_Not Applicable", - "title": "Archival and Discovery of March 2, 1933 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1933-02-26", - "end_date": "1933-03-14", - "bbox": "-157.85, 21.5, -117.22565, 48.545", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865671-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865671-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/doi%3A10.7289%2FV5TM78D3_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, - { - "id": "doi:10.7289/V5X0657Z_Not Applicable", - "title": "Archival and Discovery of March 28, 1964 Tsunami Event on Marigrams", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1964-03-22", - "end_date": "1964-03-31", - "bbox": "168.344824, -46.598233, -139.733444, 59.5485", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865674-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105865674-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/doi%3A10.7289%2FV5X0657Z_Not%20Applicable", - "description": "NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections.", - "license": "proprietary" - }, { "id": "drivers-of-the-microbial-metabolic-quotient-across-global-grasslands_1.0", "title": "Drivers of the microbial metabolic quotient across global grasslands", @@ -165710,19 +148524,6 @@ "description": "The goal of this study was to predict the global distribution of plant rooting depths based on data about global aboveground vegetation structure and climate. Vertical root distributions influence the fluxes of water, carbon, and soil nutrients and the distribution and activities of soil fauna. Roots transport nutrients and water upwards, but they are also pathways for carbon and nutrient transport into deeper soil layers and for deep water infiltration. Roots also affect the weathering rates of soil minerals. For calculating such processes on a global scale, data on vertical root distributions are needed as inputs to global biogeochemistry and vegetation models. In the Project for Intercomparison of Land Surface Parameterization Schemes (PILPS), rooting depth and vertical soil characteristics were the most important factors explaining scatter for simulated transpiration among 14 land-surface models. Recently, the Terrestrial Observation Panel for Climate of the Global Climate Observation System (GCOS) identified the 95% rooting depth as a key variable needed to quantify the interactions between the climate, soil, and plants, stating that the main challenge was to find the correlation between rooting depth and soil and climate features (GCOS/GTOS Terrestrial Observation Panel for Climate 1997). In response to this challenge, a data set of vertical rooting depths was collected from the literature in order to construct maps of global ecosystem rooting depths.The parameters included in these data sets are estimates for the soil depths containing 50% and 95% of all roots, termed 50% and 95% rooting depths (D50 and D95, respectively). Together, these variables can be used to calculate estimates for vertical root distributions, using a logistic equation provided in this documentation. The data represent mean ecosystem rooting depths for 1 by 1 degree grid cells. Related data sets: The ORNL DAAC offers related data sets by Jackson et al. (2003), Gordon and Jackson (2003), Schenk and Jackson (2003), and Gill and Jackson (2003).This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.", "license": "proprietary" }, - { - "id": "ecousm1_Not provided", - "title": "A comparative study on floral ecology between Malaysia and Antarctica", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "110.32, -66.28, 110.32, -66.28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621680-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214621680-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYSBjb2FzdGFsIGhhemFyZHMgZGF0YSBiYXNlIGZvciB0aGUgdS5zLiB3ZXN0IGNvYXN0LCBjZGlhYy9uZHAwNDNjXCIsXCJTQ0lPUFNcIixcIkNESUFDX05EUDA0M0NcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDc3NDYsNF0iLCJ1bW0iOiJbXCJhIGNvYXN0YWwgaGF6YXJkcyBkYXRhIGJhc2UgZm9yIHRoZSB1LnMuIHdlc3QgY29hc3QsIGNkaWFjL25kcDA0M2NcIixcIlNDSU9QU1wiLFwiQ0RJQUNfTkRQMDQzQ1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwNzc0Niw0XSJ9/ecousm1_Not%20provided", - "description": "The major objectives of this project are as follows: 1. To determine the composition and distribution of algal flora from a wide range of habitats, which provide a conductive niche for algal population in Antarctica. 2. To compare the Antarctic and tropical algal flora, in order to determine the degree of species endemism based on evolutionary process. 3. To study the important role of habitat specificity in determining the composition of diatom assemblages. 4. To test the utility and suitability of diatom community structure as indicators of environmental stress. This is done by: 1. Conducting an ecological survey of microalgal distribution at Australian Antarctic station sites by looking into several types of habitat. 2. Identifying the microalgae samples collected based on morphology using light microscopy and SEM. 3. Comparing the algae community, structure and distribution from the tropics. The principal milestones of the project are as follows: 1. Information of microalgal distribution at several sites in Antarctica. 2. Collection of microalgae cultures. 3. Completion of identification of Antarctic microalgae. In collaboration with the Australian Antarctic Division (AAD) we have gone on an expeditions to Australian Antarctic Station of Casey and Davis. Collection of samples was made from various sources such as water, snow and soil and we have established a list of microalgae species in our collection. Comparative studies on the species diversity and distribution with tropical microalgae communities are being conducted. Physiological studies are currently in progress.", - "license": "proprietary" - }, { "id": "ect-and-rb-data-switzerland_1.0", "title": "ECT and RB data Switzerland", @@ -166646,6 +149447,19 @@ "description": "Aerial photography from the NASA ER-2 high-altitude aircraft was collected to provide detailed and spatially extensive documentation over parts of the SAFARI study area. The ER-2 aerial photography consists of 3,046 color-infrared (IR) transparencies collected during the SAFARI 2000 Dry Season Aircraft Campaign in August and September of 2000. ORNL DAAC has archived scanned subsets of the ER-2 aerial photography. In addition, 515 image frames have been scanned from copies of the original level-0 ER-2 aerial photography by the University of the Witwatersrand (Wits), in Pretoria, South Africa. ORNL DAAC has archived subsets of the available imagery from ARC and Wits.", "license": "proprietary" }, + { + "id": "er2edop_1", + "title": "CAMEX-3 ER-2 Doppler Radar (EDOP)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-08", + "end_date": "1998-09-27", + "bbox": "-89.971, 13.976, -63.22, 34.588", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995565983-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995565983-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2edop_1", + "description": "The CAMEX-3 ER-2 Doppler Radar (EDOP) dataset is a browse-only dataset that consists of plotted reflectivity and Doppler velocity data collected by the ER-2 Doppler Radar (EDOP) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. EDOP was mounted onboard the NASA ER-2 high-altitude research aircraft from which it obtained vertical profiles of convection within tropical cyclones. The daily browse files are available from August 5 through September 27, 1998 in GIF format.", + "license": "proprietary" + }, { "id": "er2flog_501_1", "title": "BOREAS ER2 Aircraft Flight Logs", @@ -166659,6 +149473,97 @@ "description": "During 1994 and 1996, digital and analog imaging instruments mounted on the NASA ER2 aircraft collected various remotely sensed data from the atmosphere and earth's surface as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) Intensive Field Campaigns (IFC).", "license": "proprietary" }, + { + "id": "er2lip_1", + "title": "CAMEX-3 LIGHTNING INSTRUMENT PACKAGE (LIP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-08", + "end_date": "1998-09-27", + "bbox": "-89.971, 13.9761, -63.22, 34.5879", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111865-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979111865-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2lip_1", + "description": "The CAMEX-3 Lightning Instrument Package (LIP) dataset contains electrical field measurements of lightning within storms studied during the Convection And Moisture EXperiment 3 (CAMEX-3). The LIP was flown aboard the NASA ER-2 aircraft, enabling vector components of the electric field (i.e, Ex, Ey, Ez) to be readily obtained, thus greatly improving knowledge of the electrical structure within storms overflown. Measurements within this dataset include field mill data, conductivity probe temperatures from two probes, and navigation data. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. Storm electric currents can be derived using the electric field and air conductivity measurements.", + "license": "proprietary" + }, + { + "id": "er2mams_1", + "title": "CAMEX-3 MULTISPECTRAL ATMOSPHERIC MAPPING SENSOR (MAMS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-13", + "end_date": "1998-09-27", + "bbox": "-89.8519, 13.8709, -63.1191, 34.6333", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112118-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112118-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2mams_1", + "description": "The CAMEX-3 Multispectral Atmospheric Mapping Sensor (MAMS) dataset was collected by the Multispectral Atmospheric Mapping Sensor (MAMS), which is a multispectral scanner which measures reflected radiation from the Earth's surface and clouds in eight visible/near-infrared bands, and thermal emission from the Earth' surface, clouds, and atmospheric constituents (primarily water vapor) in four infrared bands. The 5.0 mRa aperture of MAMS produces an instantaneous field-of-view (IFOV) resolution of 100 m at nadir from the nominal ER-2 altitude of 20 km. The width of the entire cross path field-of-view scanned by the sensor is 37 km, thereby providing detailed resolution of atmospheric and surface features across the swath width and along the aircraft flight track. For clouds and thunderstorm features the IFOV decreases with increasing cloud height by a factor of (Z-20)/20, where Z is the cloud height in kilometers.", + "license": "proprietary" + }, + { + "id": "er2mir_1", + "title": "CAMEX-3 ER-2 Millimeter-wave Imaging Radiometer (MIR)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-08", + "end_date": "1998-09-08", + "bbox": "-85.5, 23.12, -70.053, 33.937", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112308-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112308-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2mir_1", + "description": "The CAMEX-3 ER-2 Millimeter-wave Imaging Radiometer (MIR) dataset is a browse-only dataset containing plots of brightness temperature measurements collected by the Millimeter-wave Imaging Radiometer (MIR) in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of tropical cyclones in the region. During CAMEX-3, MIR operated onboard the NASA ER-2 high-altitude research aircraft, collecting brightness temperature measurements of water vapor, clouds, precipitation, and other atmospheric features. The MIR browse image files are available from August 8 through September 8, 1998 in GIF format. ", + "license": "proprietary" + }, + { + "id": "er2mts_1", + "title": "CAMEX-3 ER-2 NAST-MTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-04", + "end_date": "1998-09-21", + "bbox": "-105, 10, -50, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112518-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112518-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2mts_1", + "description": "The CAMEX-3 ER-2 NPOESS Aircraft Sounder Testbed - Microwave Temperature Sounder (NAST-MTS) dataset contains navigation records and microwave spectral radiance measurements taken of tropical cyclones and hurricanes during the third Convection and Moisture Experiment (CAMEX-3). The NAST-MTS contains two microwave radiometer systems covering the spectral ranges of 50 to 56 GHz and provides atmospheric temperature profiles from the flight altitude to the surface.", + "license": "proprietary" + }, + { + "id": "er2nasti_1", + "title": "CAMEX-3 NAST-I RADIANCE PRODUCTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-13", + "end_date": "1998-09-27", + "bbox": "-94.3327, 13.5693, -62.3263, 36.0668", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112625-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112625-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2nasti_1", + "description": "The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Atmospheric Sounding Testbed (NAST) is a suite of airborne infrared and microwave spectrometers, being developed for the Integrated Program Office (IPO), that will be flown on the NASA high altitude ER-2 aircraft as part of the risk reduction effort for NPOESS. In addition to their stand-alone scientific value, data from these airborne instruments will be used to simulate possible satellite-based radiance measurements, therefore enabling experimental validation of instrument system specifications and data processing techniques for future advanced atmospheric remote sensors (e.g., the proposed sounder component for NPOESS).", + "license": "proprietary" + }, + { + "id": "er2nav_1", + "title": "CAMEX-3 ER-2 NAVIGATION V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-08-08", + "end_date": "1998-09-27", + "bbox": "-89.971, 13.976, -63.22, 34.588", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112721-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112721-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIiwidW1tIjoiW1wiY2FtZXgtMyBkYy04IG5hdmlnYXRpb24gKGRhZHMpIGRhdGFcIixcIkdIUkNfREFBQ1wiLFwiZGM4ZGFkc1wiLFwiMVwiLDE5NzkxMTA0MzQsMTddIn0%3D/er2nav_1", + "description": "The CAMEX-3 ER-2 Navigation data files contain information recorded by on board navigation and data collection systems. In addition to typical navigation data (e.g. date, time, lat/lon and altitude) it contains outside meteorological parameters such as wind speed, wind direction, and temperature. These data are available in ASCII text file format and Graphics Interchange Format, where each file contains data recorded at one second intervals for each flight.", + "license": "proprietary" + }, + { + "id": "er2navimpacts_1", + "title": "ER-2 Navigation Data IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-15", + "end_date": "2023-03-02", + "bbox": "-118.284, 26.907, -64.894, 48.658", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995566252-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995566252-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/er2navimpacts_1", + "description": "The NASA ER-2 Navigation Data IMPACTS dataset contains information recorded by the onboard navigation and data collection systems of the NASA ER-2 high-altitude research aircraft. In addition to typical navigation data (e.g., date, time, latitude/longitude, and altitude) it also contains outside meteorological parameters such as wind speed, wind direction, and temperature. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. The IMPACTS navigation dataset files are available from January 15, 2020, through March 2, 2023, in ASCII-ict format.", + "license": "proprietary" + }, { "id": "erbe_albedo_monthly_xdeg_957_1", "title": "ISLSCP II Earth Radiation Budget Experiment (ERBE) Monthly Albedo, 1986-1990", @@ -166815,6 +149720,45 @@ "description": "Measurements made in the Caribbean Sea near the Cayman Islands between 2001 and 2003.", "license": "proprietary" }, + { + "id": "exrad3dimpacts_1", + "title": "ER-2 X-band Radar (EXRAD) 3D Winds IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-25", + "end_date": "2020-02-07", + "bbox": "-90.885, 33.2806, -71.5199, 44.726", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2645112180-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2645112180-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/exrad3dimpacts_1", + "description": "The ER-2 X-band Radar (EXRAD) 3D Winds IMPACTS dataset consists of horizontal wind components, uncertainties in the horizontal wind components, and radar reflectivity collected by the EXRAD instrument onboard the NASA ER-2 aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023, No deployments occurred in 2021 due to COVID-19). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The EXRAD 3D Winds IMPACTS dataset files are available from January 25 through February 7, 2020 in netCDF-3 format.", + "license": "proprietary" + }, + { + "id": "exradepoch_1", + "title": "ER-2 X-Band Doppler Radar (EXRAD) EPOCH", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-08-09", + "end_date": "2017-08-31", + "bbox": "-124.717, 16.603, -83.6115, 34.9083", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2132312390-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2132312390-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/exradepoch_1", + "description": "The ER-2 X-Band Doppler Radar (EXRAD) EPOCH dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the AV-6 Global Hawk Unmanned Aerial Vehicle research aircraft, though traditionally this instrument is flown on the NASA ER-2 aircraft. These data were gathered during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The EXRAD EPOCH dataset files are available from August 9, 2017 through August 31, 2017 in HDF-5 format.", + "license": "proprietary" + }, + { + "id": "exradimpacts_1", + "title": "ER-2 X-Band Doppler Radar (EXRAD) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-25", + "end_date": "2023-03-02", + "bbox": "-117.635, 31.073, -67.286, 48.658", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1997744595-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1997744595-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/exradimpacts_1", + "description": "The ER-2 X-band Radar (EXRAD) IMPACTS dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The EXRAD IMPACTS dataset files are available from January 25, 2020, through March 2, 2023, in HDF-5 format.", + "license": "proprietary" + }, { "id": "f0580e34da524770b0a5d43c033b33dc_NA", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 05.2", @@ -166854,19 +149798,6 @@ "description": "The Cloud_cci MODIS-Terra dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MODIS (onboard Terra) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci MODIS-Terra dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures.", "license": "proprietary" }, - { - "id": "f1b95e1fcf2df596f19f033fd766fa15b8f3ba5d_Not provided", - "title": "3 year daily average solar exposure map Mali 3Km GRAS September 2008-2011", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-15, 8, 5, 28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214603974-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214603974-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMjAxMDA0X2ltbmF2YWl0X2ZpZWxkXCIsXCJTQ0lPUFNcIixcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwMDQ1MCw0XSIsInVtbSI6IltcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwiU0NJT1BTXCIsXCIyMDEwMDRfaW1uYXZhaXRfZmllbGRcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDA0NTAsNF0ifQ%3D%3D/f1b95e1fcf2df596f19f033fd766fa15b8f3ba5d_Not%20provided", - "description": "This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for September.", - "license": "proprietary" - }, { "id": "f30495d4425f46c489765a2f84dd6862_NA", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 5.0", @@ -168817,19 +151748,6 @@ "description": "Canopy IR & air temperature, albedo, incoming and reflected shortwave, humidity", "license": "proprietary" }, - { - "id": "finnarp_aerosols_Not provided", - "title": "Aerosol measurements at ABOA / FINNARP 2009", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214596474-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214596474-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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_aerosols_Not%20provided", - "description": "The data set contains: - neutral aerosol size distribution from 10 to 500 nm (8.12.2009-23.1.2010) with 12 min resolution and 25 separate size bins - charged aerosol size distribution from 0.8 to 40 nm (5.12.2009-23.1.2010) with 12 min resolution and 28 separate size bins - tropospheric ozone concentration (5.12.2009-23.1.2010), 1 min averages, unit ppb (parts per billion) - quartz filter samples for later chemical analysis (8.12.2009-23.1.2010), each filter was collecting the sample 2-3 days (filters were changed 3 times a week) ", - "license": "proprietary" - }, { "id": "fire-randomizer-first-release_1.0", "title": "fire-randomizer: first release", @@ -168908,6 +151826,19 @@ "description": "Data of a survey of flowering plants in 80 sites in five European cities and urban agglomerations (Antwerp, Belgium; greater Paris, France; Poznan, Poland; Tartu, Estonia; and Zurich, Switzerland) sampled between April and July 2018.", "license": "proprietary" }, + { + "id": "fltrepepoch_1", + "title": "Flight Reports EPOCH", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-07-27", + "end_date": "2017-08-31", + "bbox": "-130, 10, -80, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2175817241-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2175817241-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/fltrepepoch_1", + "description": "The Flight Reports EPOCH dataset consists of flight number, purpose of flight, and flight hours logged during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The mission reports are available from July 27, 2017 through August 31, 2017 in PDF format. ", + "license": "proprietary" + }, { "id": "flu-a-bh_1.0", "title": "Processed permafrost borehole data (2394 m asl), Fluelapass A, Switzerland", @@ -169779,6 +152710,19 @@ "description": "A geomorphology map of the Australasian seafloor was created as a Geographic Information System layer for the study described in Torres, Leigh G., et al. \"From exploitation to conservation: habitat models using whaling data predict distribution patterns and threat exposure of an endangered whale.\" Diversity and Distributions 19.9 (2013): 1138-1152. The geomorphology map was generated using parameters derived from the General Bathymetric Chart of the World (GEBCO 2008, http://www.gebco.net/), with 30 arc-second grid resolution. Geomorphology features were delineated manually with a consistent spatial resolution. Each feature was assigned a primary attribute of depth zone and a secondary attribute of morphological feature. The following feature classes are defined: shelf, slope, rise, plain, valley, trench, trough, basin, hills(s), mountains(s), ridges(s), plateau, seamount. Further information (methods, definitions and an illustration of the geomorphology map) is provided in Appendix S2 of the paper which is available for download (see related URLs).", "license": "proprietary" }, + { + "id": "gfscpex_1", + "title": "Global Forecast System (GFS) CPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-24", + "end_date": "2017-07-20", + "bbox": "-100, 5, -45, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2611060678-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2611060678-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/gfscpex_1", + "description": "The Global Forecast System (GFS) CPEX dataset includes model data simulated by the Global Forecast System (GFS) model for the Convective Process Experiment (CPEX) field campaign. The NASA Convective Processes Experiment (CPEX) aircraft field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 24, 2017 through July 20, 2017 and are available in netCDF-3 format. ", + "license": "proprietary" + }, { "id": "gghydro_676_1", "title": "LBA Regional Hydrographic Data, 1-Degree, Release 2.2 (Cogley)", @@ -170305,11646 +153249,5159 @@ "catalog": "AU_AADC STAC Catalog", "state_date": "1987-06-05", "end_date": "1987-08-27", - "bbox": "120, -70, 110, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313508-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313508-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_87_traverse3b_1", - "description": "A two-part (totaling 60 days including the break) traverse out of Casey across Law Dome, focussing on running an ice radar over a number of set grids at various locations. Has measurements of air pressure and temperature from the sitreps, but no radar data. Includes a copy of the travel notes. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_87_traverse4_1", - "title": "Glaciology 1987 \"Traverse 4\" (Law Dome, Wilkes Land) Records and Measurements", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1987-09-04", - "end_date": "1987-10-09", - "bbox": "120, -70, 110, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313509-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313509-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_87_traverse4_1", - "description": "A 36 day traverse out of Casey across Law Dome, took detailed gravity and borehole temperature readings at a number of sites on the dome. Includes a copy of the travel notes. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_87_traverse5_1", - "title": "Glaciology 1987 \"Traverse 5\" (Law Dome, Wilkes Land) Records and Measurements", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1987-11-04", - "end_date": "1988-02-07", - "bbox": "120, -70, 110, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313458-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313458-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_87_traverse5_1", - "description": "A 96 day traverse out of Casey across Law Dome and Wilkes Land performed a number of measurements including air pressure, air temperature, borehole temperature, gravity and snow accumulation at snow cane markers. Includes a copy of the travel notes. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_data_report_1978_casey_1", - "title": "Glaciology Data Report, Casey 1978", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1978-01-01", - "end_date": "1978-12-31", - "bbox": "110, -74, 115, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308597-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308597-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1978_casey_1", - "description": "A report presenting the data collected during the 1978 ANARE Glaciology program at Casey, carried out as part of the IAGP. Measurements made include ice movement, barometric levelling, echo sounding, gravity, accumulation, trilateration resurvey, undulation study, strain grids, and surface and borehole sampling. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_data_report_1979_casey_1", - "title": "Glaciology Data Report, Casey 1979", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1979-01-01", - "end_date": "1979-12-31", - "bbox": "110, -69, 115, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308572-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308572-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1979_casey_1", - "description": "A report presenting the data collected during the 1979 ANARE Glaciology program at Casey, resulting from several inland traverses. Measurements recorded include ice velocity, ice thickness, height, strain, accumulation, snow samples and coring, and a magnetic survey. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_data_report_1981_casey_1", - "title": "Glaciology Data Report, Casey 1981", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1981-01-01", - "end_date": "1981-12-31", - "bbox": "110, -69, 120, -66", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308598-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308598-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1981_casey_1", - "description": "A collection of the data from the 1981 Glaciology program at Casey, collected from several inland traverses. Measurements include accumulation and density, barometric profiling, ice movement, gravity, ice thickness and bedrock profiling, temperatures at 10m depth, surface density, and oxygen isotopes. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_data_report_1982_casey_1", - "title": "Glaciology Data Report, Casey 1982", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1982-01-01", - "end_date": "1982-12-31", - "bbox": "105.11719, -69.71811, 117.07031, -65.94647", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1278304362-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1278304362-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1982_casey_1", - "description": "A report presenting the data collected during the 1982 ANARE Glaciology program at Casey, resulting from several inland traverses. Measurements recorded include ice movement, barometric levelling, bedrock profiling, accumulation and gravity. Fieldwork locations were Casey, Law Dome and Wilkes Land. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_data_report_1983_casey_1", - "title": "Glaciology Data Report, Casey 1983", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1983-01-01", - "end_date": "1983-12-31", - "bbox": "110, -74, 115, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308599-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308599-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1983_casey_1", - "description": "A report presenting the data collected during the 1983 ANARE Glaciology program at Casey, resulting from five inland traverses. Measurements made include ice movement, barometric levelling, bedrock profiling, accumulation, gravity, magnetic, surface wind, 10m temperatures, stratigraphy measurements and isotope sampling, along with traverse notes. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glacio_data_report_1986_casey_1", - "title": "Glaciology Data Report, Casey 1986", - "catalog": "AU_AADC STAC Catalog", - "state_date": "1986-01-01", - "end_date": "1986-12-01", - "bbox": "110, -69, 115, -65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308600-AU_AADC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308600-AU_AADC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1986_casey_1", - "description": "A report of the data collected from the 1986 Glaciology program at Casey. Includes measurements of ice movement, accumulation, snow temperature, gravity, magnetic, weather data, surface density and hardness, and a summary of all known measurements along the A, B and Undulation Lines on Law Dome. These documents have been archived in the records store at the Australian Antarctic Division.", - "license": "proprietary" - }, - { - "id": "glide-snow-avalanche-activity-on-dorfberg-davos_1.0", - "title": "Glide-snow avalanche activity on Dorfberg, Davos, Switzerland", - "catalog": "ENVIDAT STAC Catalog", - "state_date": "2023-01-01", - "end_date": "2023-01-01", - "bbox": "9.8270988, 46.8077793, 9.8497581, 46.8265749", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082548-ENVIDAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082548-ENVIDAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/glide-snow-avalanche-activity-on-dorfberg-davos_1.0", - "description": "This dataset includes the processed data of the glide-snow avalanche activity and dynamics on Dorfberg (Davos, Switzerland) covering seasons 2008/09 to 2021/22. This dataset was described in the research article: Fees, A., van Herwijnen A., Altenbach, M., Lombardo, M., Schweizer, J.: Glide-snow avalanche characteristics at different time-scales extracted from time-lapse photography, Annals of Glaciology, 91 We extracted the dynamics of opening glide-cracks and the glide-snow avalanche activity from time-lapse photographs. Glide-snow avalanches were separated into surface and interface events using the liquid water content which was simulated with SNOWPACK at 10 virtual stations on Dorfberg.", - "license": "proprietary" - }, - { - "id": "glider_0", - "title": "Glider measurements near Tampa, FL", - "catalog": "OB_DAAC STAC Catalog", - "state_date": "2009-02-06", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360244-OB_DAAC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360244-OB_DAAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections?cursor=eyJqc29uIjoiW1wiZW52aXNhdCBtZXJpcyByZWdpb25hbCBpbmxhbmQgd2F0ZXJzIChpbHcpIGRhdGEsIHZlcnNpb24gNFwiLFwiT0JfREFBQ1wiLFwiTUVSSVNfTDJfSUxXXCIsXCI0XCIsMjk1NDQyMzM1OSwzXSIsInVtbSI6IltcImVudmlzYXQgbWVyaXMgcmVnaW9uYWwgaW5sYW5kIHdhdGVycyAoaWx3KSBkYXRhLCB2ZXJzaW9uIDRcIixcIk9CX0RBQUNcIixcIk1FUklTX0wyX0lMV1wiLFwiNFwiLDI5NTQ0MjMzNTksM10ifQ%3D%3D/glider_0", - "description": "Measurements made near Tampa along the Florida Gulf Coast to calibrate and validate glider instrumentation between 2009 and 2011.", - "license": "proprietary" - }, - { - "id": "global-cryosphere-watch-data-survey_1.0", - "title": "Global Cryosphere Watch data survey", - "catalog": "ENVIDAT STAC Catalog", - "state_date": "2020-01-01", - "end_date": "2020-01-01", - "bbox": "5.95587, 45.81802, 10.49203, 47.80838", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2789815290-ENVIDAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789815290-ENVIDAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/global-cryosphere-watch-data-survey_1.0", - "description": "Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020).", - "license": "proprietary" - }, - { - "id": "global-species-distributions-for-mammals-reptiles-and-amphibians_1.0", - "title": "Global species distributions for mammals, reptiles, and amphibians", - "catalog": "ENVIDAT STAC Catalog", - "state_date": "2022-01-01", - "end_date": "2022-01-01", - "bbox": "180, -90, -180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082087-ENVIDAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082087-ENVIDAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/global-species-distributions-for-mammals-reptiles-and-amphibians_1.0", - "description": "We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5\u00b0 spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.", - "license": "proprietary" - }, - { - "id": "global_N_cycle_797_1", - "title": "Global N Cycle: Fluxes and N2O Mixing Ratios Originating from Human Activity", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1756-01-01", - "end_date": "2004-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776893351-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776893351-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIiwidW1tIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIn0%3D/global_N_cycle_797_1", - "description": "Nitrogen is a major nutrient in terrestrial ecosystems and an important catalyst in tropospheric photochemistry. Over the last century human activities have dramatically increased inputs of reactive nitrogen (Nr, the combination of oxidized, reduced and organically bound nitrogen) to the Earth system. Nitrogen cycle perturbations have compromised air quality and human health, acidified ecosystems, and degraded and eutrophied lakes and coastal estuaries [Vitousek et al., 1997a, 1997b; Rabalais, 2002; Howarth et al., 2003; Townsend et al., 2003; Galloway et al., 2004]. To begin to quantify the changes to the global N cycle, we have assembled key flux data and N2O mixing ratios from various sources. The data assembled from different sources includes fertilizer production from 1920-2004; manure production from 1860-2004; crop N fixation estimated for three time points, 1860, 1900, 1995; tropospheric N2O mixing ratios from ice core and firn measurements, and tropospheric concentrations to cover the time period from 1756-2004. The changing N2O concentrations provide an independent index of changes to the global N cycle, in much the same way that changing carbon dioxide concentrations provide an important constraint on the global carbon cycle. The changes to the global N cycle are driven by industrialization, as indicated by fossil fuel NOx emission, and by the intensification of agriculture, as indicted by fertilizer and manure production and crop N2 fixation. The data set and the science it reflects are by nature interdisciplinary. Making the data set available through the ORNL DAAC is an attempt to make the data set available to the considerable interdisciplinary community studying the N cycle.", - "license": "proprietary" - }, - { - "id": "global_N_deposition_maps_830_1", - "title": "Global Maps of Atmospheric Nitrogen Deposition, 1860, 1993, and 2050", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1860-01-01", - "end_date": "2050-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776896954-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776896954-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIiwidW1tIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIn0%3D/global_N_deposition_maps_830_1", - "description": "This data set provides global gridded estimates of atmospheric deposition of total inorganic nitrogen (N), NHx (NH3 and NH4+), and NOy (all oxidized forms of nitrogen other than N2O), in mg N/m2/year, for the years 1860 and 1993 and projections for the year 2050. The data set was generated using a global three-dimensional chemistry-transport model (TM3) with a spatial resolution of 5 degrees longitude by 3.75 degrees latitude (Jeuken et al., 2001; Lelieveld and Dentener, 2000). Nitrogen emissions estimates (Van Aardenne et al., 2001) and projection scenario data (IPCC, 1996; 2000) were used as input to the model.", - "license": "proprietary" - }, - { - "id": "global_population_xdeg_975_1", - "title": "ISLSCP II Global Population of the World", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1990-01-01", - "end_date": "1995-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784894945-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784894945-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/global_population_xdeg_975_1", - "description": "Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with this data set for the reference years 1990 and 1995. Over 127,000 administrative units and population counts were collected and integrated from various sources to create the gridded data. In brief, GPW was created using the following steps: * Population data were estimated for the product reference years, 1990 and 1995, either by the data source or by interpolating or extrapolating the given estimates for other years. * Additional population estimates were created by adjusting the source population data to match UN national population estimates for the reference years. * Borders and coastlines of the spatial data were matched to the Digital Chart of the World where appropriate and lakes from the Digital Chart of the World were added. * The resulting data were then transformed into grids of UN-adjusted and unadjusted population counts for the reference years. * Grids containing the area of administrative boundary data in each cell (net of lakes) were created and used with the count grids to produce population densities.As with any global data set based on multiple data sources, the spatial and attribute precision of GPW is variable. The level of detail and accuracy, both in time and space, vary among the countries for which data were obtained.", - "license": "proprietary" - }, - { - "id": "globalview_ch4_point_1109_1", - "title": "ISLSCP II GlobalView: Atmospheric Methane Concentrations", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1984-01-01", - "end_date": "1998-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785319804-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785319804-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/globalview_ch4_point_1109_1", - "description": "The GlobalView Methane (CH4) data product contains synchronized and smoothed time series of atmospheric CH4 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1984 to 1998 with some sites having shorter or longer temporal coverage. Note that the GlobalView-CH4 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CH4 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 74 files with this data set which includes 71 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file containing CH4 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.", - "license": "proprietary" - }, - { - "id": "globalview_co2_point_1111_1", - "title": "ISLSCP II Globalview: Atmospheric CO2 Concentrations", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1979-01-01", - "end_date": "2001-01-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785323218-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785323218-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/globalview_co2_point_1111_1", - "description": "The GlobalView Carbon Dioxide (CO2) data product contains synchronized and smoothed time series of atmospheric CO2 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans, (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1979 to 2001 with some sites having longer or shorter temporal coverage. Note that the GlobalView CO2 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CO2 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 92 files with this data set which includes 89 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file which contains CO2 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.", - "license": "proprietary" - }, - { - "id": "globe_dem_630_1", - "title": "SAFARI 2000 Digital Elevation Model, 1-km (GLOBE)", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1999-01-01", - "end_date": "1999-06-01", - "bbox": "5, -35, 60, 5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2788339997-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2788339997-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FmYXJpIDIwMDAgY2xvdWQgYWJzb3JwdGlvbiByYWRpb21ldGVyIGJyZGYsIGRyeSBzZWFzb24gMjAwMFwiLFwiT1JOTF9DTE9VRFwiLFwiQ0FSX0JSREZfNzA5XCIsXCIxXCIsMjc4ODM3NjE0NywyXSIsInVtbSI6IltcInNhZmFyaSAyMDAwIGNsb3VkIGFic29ycHRpb24gcmFkaW9tZXRlciBicmRmLCBkcnkgc2Vhc29uIDIwMDBcIixcIk9STkxfQ0xPVURcIixcIkNBUl9CUkRGXzcwOVwiLFwiMVwiLDI3ODgzNzYxNDcsMl0ifQ%3D%3D/globe_dem_630_1", - "description": "This data set consists of a southern African subset of the Global Land One-Kilometer Base Elevation (GLOBE) digital elevation model (DEM) data in both ASCII GRID and binary image file formats.", - "license": "proprietary" - }, - { - "id": "gls_Not provided", - "title": "Global Land Survey", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567576-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567576-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections?cursor=eyJqc29uIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIiwidW1tIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIn0%3D/gls_Not%20provided", - "description": "The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. NASA and the USGS have again partnered to develop the Global Land Survey 2010 (GLS2010), a new global land data set with core acquisition dates of 2008-2011. This dataset consists of both Landsat TM and ETM+ images that meet quality and cloud cover standards established by the earlier GLS collections. Data acquired in 2011 were used to fill areas of low image quality or excessive cloud cover.", - "license": "proprietary" - }, - { - "id": "gmted2010_Not provided", - "title": "Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010)", - "catalog": "USGS_LTA STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567856-USGS_LTA.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567856-USGS_LTA.html", - "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections?cursor=eyJqc29uIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIiwidW1tIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIn0%3D/gmted2010_Not%20provided", - "description": "The USGS and the NGA have collaborated on the development of a notably enhanced global elevation model named the GMTED2010 that replaces GTOPO30 as the elevation dataset of choice for global and continental scale applications. The new model has been generated at three separate resolutions (horizontal post spacings) of 30 arc-seconds (about 1 kilometer), 15 arc-seconds (about 500 meters), and 7.5 arc-seconds (about 250 meters). This new product suite provides global coverage of all land areas from lat 84\u00b0N to 56\u00b0S for most products, and coverage from 84\u00b0N to 90\u00b0S for several products. Some areas, namely Greenland and Antarctica, do not have data available at the 15- and 7.5-arc-second resolutions because the input source data do not support that level of detail. An additional advantage of the new multi-resolution global model over GTOPO30 is that seven new raster elevation products are available at each resolution. ", - "license": "proprietary" - }, - { - "id": "goes71_444_1", - "title": "BOREAS RSS-14 GOES-7 Level-1 Visible, Infrared, and Water Vapor Images", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1994-01-04", - "end_date": "1995-07-08", - "bbox": "-111, 50.09, -93.5, 59.98", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929421613-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929421613-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes71_444_1", - "description": "The level-1 BOREAS GOES-7 image data were collected by Remote Sensing Science Team 14 (RSS-14) personnel at Florida State University (FSU) and delivered to BORIS. The data cover the period of 01-Jan-1994 through 08-Jul-1995, with partial to complete coverage on the majority of the days. The data include three bands with eight-bit pixel values.", - "license": "proprietary" - }, - { - "id": "goes71a_300_1", - "title": "BOREAS RSS-14 GOES-7 Level-1a Visible, Infrared, and Water Vapor Images", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1994-01-01", - "end_date": "1995-07-08", - "bbox": "-111, 50.09, -93.5, 59.98", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2846971356-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2846971356-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes71a_300_1", - "description": "The level-1a BOREAS GOES-7 image data was collected by Remote Sensing Science Team-14 (RSS-14) personnel at Florida State University and processed to level-1a products by BORIS personnel. The data cover the period 01-JAN-1994 through 08-JUL-1995.", - "license": "proprietary" - }, - { - "id": "goes72_554_1", - "title": "BOREAS RSS-14 GOES-7 Level-2 Shortwave and Longwave Radiation Images", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1994-02-05", - "end_date": "1994-09-20", - "bbox": "-111, 47.65, -87.12, 65.91", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929163896-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929163896-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes72_554_1", - "description": "This data set contains images of shortwave and longwave radiation at the surface and top of the atmosphere derived from collected GOES-7 data. The data cover the time period of 05-Feb-1994 to 20-Sep-1994. The images missing from the temporal series were zero-filled to create a consistent sequence of files.", - "license": "proprietary" - }, - { - "id": "goes81_445_1", - "title": "BOREAS RSS-14 GOES-8 Level-1 Visible, Infrared and Water Vapor Images", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1995-07-14", - "end_date": "1996-10-03", - "bbox": "-111, 50.09, -93.5, 58.98", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929112895-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929112895-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes81_445_1", - "description": "The level-1 BOREAS GOES-8 images are raw data values collected by RSS-14 personnel at FSU and delivered to BORIS. The data cover 14-Jul-1995 to 21-Sep-1995 and 01-Jan-1996 to 03-Oct- 1996. The data start out containing three 8-bit spectral bands and end up containing five 10-bit spectral bands.", - "license": "proprietary" - }, - { - "id": "goes81a_446_1", - "title": "BOREAS RSS-14 GOES-8 Level-1a Visible, Infrared and Water Vapor Images", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1995-07-14", - "end_date": "1996-10-03", - "bbox": "-111, 50.09, -93.5, 58.98", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929124379-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929124379-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes81a_446_1", - "description": "The level-1a GOES-8 images cover 14-Jul-1995 to 21-Sep-1995 and 12-Feb-1996 to 03-Oct-1996. The data start out as three bands with 8-bit pixel values and end up as five bands with 10-bit pixel values. The differences between the level-1 and level-1a GOES-8 data are the formatting and packaging of the data. The images missing from the temporal series of level-1 GOES-8 images were zero-filled to create files consistent in size and format.", - "license": "proprietary" - }, - { - "id": "gomc_156_Not provided", - "title": "Adopt-a-Tide Pool", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1990-01-01", - "end_date": "", - "bbox": "-70.923, 42.489, -70.763, 42.577", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586152-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586152-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWRtaXJhbHR5IGJheSBiZW50aG9zIGJpb2RpdmVyc2l0eSBkYXRhYmFzZSBbc2Nhci1tYXJiaW5dXCIsXCJTQ0lPUFNcIixcInNjYXJtYXJiaW5fQUJCRURcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQxNTU1NjgsNF0iLCJ1bW0iOiJbXCJhZG1pcmFsdHkgYmF5IGJlbnRob3MgYmlvZGl2ZXJzaXR5IGRhdGFiYXNlIFtzY2FyLW1hcmJpbl1cIixcIlNDSU9QU1wiLFwic2Nhcm1hcmJpbl9BQkJFRFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDE1NTU2OCw0XSJ9/gomc_156_Not%20provided", - "description": " Salem Sound Coastwatch trains volunteers to monitor tide pools through the Adopt-A-Tide pool program. Volunteers will help us focus special attention on local tide pools and catalog the diversity of both native and invasive species. This information will be passed on to scientists working on strategies to address marine invasive species. Waterbody or Watershed Names: Salem Sound ", - "license": "proprietary" - }, - { - "id": "gomc_219_Not provided", - "title": "2001 Long Island Sound Study Ambient Water Quality and Monitoring Program", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-74.3, 40.5, -71.75, 41.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214585922-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214585922-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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%3D/gomc_219_Not%20provided", - "description": " The Interstate Environmental Commission is a joint agency of the States of New York, New Jersey, and Connecticut. The IEC was established in 1936 under a Compact between New York and New Jersey and approved by Congress. The State of Connecticut joined the Commission in 1941. Waterbody or Watershed Names: Long Island Sound ", - "license": "proprietary" - }, - { - "id": "gomc_323_Not provided", - "title": "ACAP Saint John's Community Environmental Monitoring Program (CEMP)", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1992-01-01", - "end_date": "", - "bbox": "-66.25, 45, -65.25, 46", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214585928-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214585928-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=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%3D%3D/gomc_323_Not%20provided", - "description": " Parameters measured included: ammonia nitrogen, orthophosphate, dissolved oxygen, pH, turbidity, salinity, faecal coliform. ", - "license": "proprietary" - }, - { - "id": "gomc_40_Not provided", - "title": "Air Quality Monitoring In New Brunswick", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-145.27, 37.3, -48.11, 87.61", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586182-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586182-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIiwidW1tIjoiW1wiYWdlcyBhbmQgZWxldmF0aW9ucyBvZiByYWlzZWQgYmVhY2hlcyBhcm91bmQgbWF4d2VsbCBiYXksIHNvdXRoIHNoZXRsYW5kIGlzbGFuZHNcIixcIlNDSU9QU1wiLFwiTWF4d2VsbF9CYXlfQmVhY2hlc19kYXRhXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NTkwNzcxLDVdIn0%3D/gomc_40_Not%20provided", - "description": " We know that air pollution can have an effect on the health of our environment and on human health. People who have respiratory difficulties are particularly sensitive to poor air quality. Children are frequently affected because of their physiology and because they tend to be more active outdoors. Monitoring air quality in New Brunswick helps us to better understand the sources, movements and effects of various substances in the air we breathe. The data we collect helps us to control sources of air pollution within our province, and to negotiate with governments in other jurisdictions for controls on air pollution that crosses borders. The more we know, the more effectively we can work to protect and enhance our air quality and our environment. ", - "license": "proprietary" - }, - { - "id": "gone-wild-grapevines-in-forests_1.0", - "title": "Gone-wild grapevines in forests may act as a potential habitat for \u201cFlavescence dor\u00e9e\u201d phytoplasma vectors and inoculum", - "catalog": "ENVIDAT STAC Catalog", - "state_date": "2023-01-01", - "end_date": "2023-01-01", - "bbox": "8.4347534, 45.8809865, 9.2422485, 46.5159373", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082143-ENVIDAT.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082143-ENVIDAT.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/gone-wild-grapevines-in-forests_1.0", - "description": "Dataset used to test the potential role of gone-wild grapevines (GWGV) in forests of Southern Switzerland as a source of Flavescence dor\u00e9e phytoplasma (FDp) inoculum and as a habitat for its main and alternative vectors, Scaphoideus titanus and Orientus ishidae. In the first phase, GWGV were located and sampled to test their FDp status. In addition, a set of chromotropic traps were placed to monitor the presence and abundance of FDp vectors. In the second phase, wood from GWGV in forests was collected and placed in cages to test the potential oviposition activity by FDp vectors. The results showed that GWGV in forests are a reservoir of FDp and that they can sustain the whole life cycle of both S.titanus and O.ishidae. Eventually, the need to adapt the current FD management strategies are highlighted.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ncdc:C00842_Version 1.2", - "title": "Blended 6-Hourly Sea Surface Wind Vectors and Wind Stress on a Global 0.25 Degree Grid (1987-2011)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-07-09", - "end_date": "2011-09-30", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107093688-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107093688-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.ncdc%3AC00842_Version%201.2", - "description": "The Blended Global Sea Surface Winds products contain ocean surface wind vectors and wind stress on a global 0.25 degree grid, in multiple time resolutions of 6-hourly and monthly, with an 11-year (1995-2005) monthly climatology. Daily files from a direct average of the 6-hourly data were also produced but are not included in this archive. The period of record is July 9, 1987 to September 30, 2011 for product Version 1.2, released in July 2007. Wind speeds were generated by blending available and selected microwave and scatterometer observations using a Simple spatiotemporally weighted Interpolation (SI) method. The following satellite retrieval datasets from Remote Sensing Systems (RSS) were used for Version 1.2: SSMI Version 6, TMI Version 4, QSCAT Version 3a, and AMSRE Version 5 (updated using the SSMI rain rate). The wind directions are from the NCEP-DOE Reanalysis 2 (NRA-2). The model wind directions are interpolated onto the blended wind speed grids. The 6-hourly satellite-scaled global 0.25-degree grid wind stresses are computed as: taux_s = -[(w_s/w_m)**2]*taux_m tauy_s = -[(w_s/w_m)**2]*tauy_m where 's' indicates satellite-scaled values and 'm' indicates NRA-2 model values interpolated to the satellite grid. Files are in netCDF format and available to users via FTP and THREDDS. A near real-time (NRT) variant of the product is generated quasi-daily to satisfy the needs of real-time users. The publicly available NRT data were replaced by the delayed-mode research quality data on a monthly basis through the end of September 2011, at which time the Seawinds production was impacted by the loss of data from the AMSR-E instrument failure. Production of the delayed-mode research products ends with the loss of AMSR-E in Version 1.2; a future version will extend beyond September 2011. The NRT products are continued after September 2011; however, this archive only includes the delayed-mode research products as the NRT data have a lower maturity rating removing the basis for archiving those data.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ncdc:C01381_Not Applicable", - "title": "AVHRR/HIRS Longwave Radiation Budget Data (RBUD)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2000-03-18", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107093896-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107093896-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ncdc%3AC01381_Not%20Applicable", - "description": "Radiation Budget Data - The Radiation Budget product suite is produced from the primary morning and afternoon Polar Orbiters. Product shows a measure of the longwave radiation emitted (W/m^2) by the earth-atmosphere system to space. The observations are displayed on a one degree equal area map for the day and night. The products are: GAC long wave, HIRS long wave, longwave histogram, annual mean, monthly mean, and seasonal mean. This is a NESDIS legacy product and the file naming pattern is as follows: NPR.RBSD.[SatelliteID].D[YYDDD] or NPR.RBMD.[SatelliteID].D[YYDDD]", - "license": "proprietary" - }, - { - "id": "gov.noaa.ncdc:C01560_V3", - "title": "Blended Global Biomass Burning Emissions Product - Extended (GBBEPx) from Multiple Satellites", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2018-01-09", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094570-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094570-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.ncdc%3AC01560_V3", - "description": "The Blended Global Biomass Burning Emissions Product version 3 (GBBEPx V3) system produces global biomass burning emissions. The product contains daily global biomass burning emissions (PM2.5, BC, CO, CO2, OC, and SO2) blended fire observations from MODIS Quick Fire Emission Dataset (QFED), VIIRS (NPP and JPSS-1) fire emissions, and Global Biomass Burning Emission Product from Geostationary satellites (GBBEP-Geo), which are in a grid cell of 0.25 \u00c3\u0097 0.3125 degree and 0.1 x 0.1 degree. It also produces hourly emissions from geostationary satellites, which is at individual fire pixels. The product output also include fire detection record in a HMS format, quality flag in biomass burning emissions, spatial pattern of PM2.5 emissions, and statistic PM2.5 information at continental scale. In Version3, daily biomass burning emissions at a FV3 C384 grid in binary format and daily biomass burning emissions at a 0.1 x 0.1 degree grid that include all the emissions species are added as new output.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ncdc:C01598_Beta4", - "title": "Adaptive Ecosystem Climatology Beta 4 Model and Satellite Climatology", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2012-12-31", - "bbox": "-98, 18.091, -77.36, 30.73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094643-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094643-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.ncdc%3AC01598_Beta4", - "description": "The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ncdc:C01599_beta6", - "title": "Adaptive Ecosystem Climatology Beta 6 Satellite Climatology", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2012-12-31", - "bbox": "-135, 22.9276, -62.987, 53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094649-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2107094649-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.ncdc%3AC01599_beta6", - "description": "The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:12_Not Applicable", - "title": "April 1906 San Francisco, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1906-04-18", - "end_date": "1906-04-18", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705777-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705777-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A12_Not%20Applicable", - "description": "The 1906 San Francisco earthquake was the largest event (magnitude 8.3) to occur in the conterminous United States in the 20th Century. Recent estimates indicate that as many as 3,000 people lost their lives in the earthquake and ensuing fire. In terms of 1906 dollars, the total property damage amounted to about $24 million from the earthquake and $350 million from the fire. The fire destroyed 28,000 buildings in a 520-block area of San Francisco.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:16_Not Applicable", - "title": "April 1992 Cape Mendocino, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-04-25", - "end_date": "1992-04-25", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705735-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705735-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYW50aHJvcG9nZW5pYyBhbmQgbmF0dXJhbCBzdHJlc3NlcyBvbiBjb3JhbCByZWVmcyBpbiBoYXdhaWk6IGEgbXVsdGktZGVjYWRlIHN5bnRoZXNpcyBvZiBpbXBhY3QgYW5kIHJlY292ZXJ5IGZyb20gMTk3MyB0byAyMDAyIChuY2VpIGFjY2Vzc2lvbiAwMDAxMDYzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDEwNjNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3NDgxNiwxXSIsInVtbSI6IltcImFudGhyb3BvZ2VuaWMgYW5kIG5hdHVyYWwgc3RyZXNzZXMgb24gY29yYWwgcmVlZnMgaW4gaGF3YWlpOiBhIG11bHRpLWRlY2FkZSBzeW50aGVzaXMgb2YgaW1wYWN0IGFuZCByZWNvdmVyeSBmcm9tIDE5NzMgdG8gMjAwMiAobmNlaSBhY2Nlc3Npb24gMDAwMTA2MylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAxMDYzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzQ4MTYsMV0ifQ%3D%3D/gov.noaa.ngdc.mgg.photos%3A16_Not%20Applicable", - "description": "On April 25, 1992 at 11:06 am local time (April 25 at 18:06 GMT), a magnitude 7.1 earthquake occurred in the Cape Mendocino area. Two additional earthquakes, magnitudes 6.6 and 6.7 occurred the next morning (April 26 at 00:41 and 04:18 am local time). The first earthquake was located six miles north of Petrolia, California, in a sparsely populated part of southwestern Humboldt County. Five small communities were located within a 50-mile radius of these events: Honeydew, Petrolia, Rio Dell, Scotia, and Ferndale.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:1_Not Applicable", - "title": "August 1959 Hebgen Lake, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1959-08-18", - "end_date": "1959-08-18", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705741-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705741-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A1_Not%20Applicable", - "description": "The magnitude 7.1 earthquake killed 28 people and caused $11 million property damage. Affected area: 1,554,000 sq km", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:23_Not Applicable", - "title": "August 1999 Izmit (Kocaeli), Turkey Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-08-17", - "end_date": "1999-08-17", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705776-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705776-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXNzZXNzbWVudCBvZiBjb3JhbCByZWVmIGNvbW11bml0aWVzIGluIGhhd2FpaSwgbWF1aSwgYW5kIG9haHUgb2YgdGhlIG1haW4gaGF3YWlpYW4gaXNsYW5kcyBmcm9tIDIwMTAtMDMtMDggdG8gMjAxMS0xMS0wOCB1c2luZyB0aGUgbGluZS1wb2ludCBpbnRlcmNlcHQgKGxwaSkgbWV0aG9kIChuY2VpIGFjY2Vzc2lvbiAwMTY4OTEzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAxNjg5MTNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3OTEwNSwxXSIsInVtbSI6IltcImFzc2Vzc21lbnQgb2YgY29yYWwgcmVlZiBjb21tdW5pdGllcyBpbiBoYXdhaWksIG1hdWksIGFuZCBvYWh1IG9mIHRoZSBtYWluIGhhd2FpaWFuIGlzbGFuZHMgZnJvbSAyMDEwLTAzLTA4IHRvIDIwMTEtMTEtMDggdXNpbmcgdGhlIGxpbmUtcG9pbnQgaW50ZXJjZXB0IChscGkpIG1ldGhvZCAobmNlaSBhY2Nlc3Npb24gMDE2ODkxMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMTY4OTEzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzkxMDUsMV0ifQ%3D%3D/gov.noaa.ngdc.mgg.photos%3A23_Not%20Applicable", - "description": "On August 17, 1999, at 3:02 am local time (00:02 GMT) a magnitude (Mw) 7.4 earthquake occurred on the northern Anatolian fault. The epicenter was located very close to the south shore of the Bay of Izmit, an eastward extension of the Marmara Sea. The location of this earthquake and its proximity to a populous region on the Bay of Izmit contributed greatly to its damaging effects. The total estimated loss for port facilities in the region was around $200 million (US). Subsidence and slumping caused much of the coastal damage, but a tsunami was generated that also caused coastal damage and deaths.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:242_Not Applicable", - "title": "April 1984 Morgan Hill, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-04-24", - "end_date": "1984-04-24", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705812-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705812-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A242_Not%20Applicable", - "description": "This magnitude 6.2 earthquake caused $30 million in property damage in northern California. The epicenter of the quake was located near Mount Hamilton in the Diablo Range of the California Coast Ranges. The earthquake was felt over an area of 120,000 square kilometers in California and western Nevada.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:248_Not Applicable", - "title": "August 1973 Veracruz, Mexico Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-08-28", - "end_date": "1973-08-28", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705854-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705854-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A248_Not%20Applicable", - "description": "South of Veracruz, southeastern Mexico. Damage: Severe. The earthquake caused heavy damage in the states of Morelos, Puebla, and Veracruz. Thousands were left homeless.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:251_Not Applicable", - "title": "April 1976 Esmeraldas, Ecuador Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-04-09", - "end_date": "1976-04-09", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705860-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705860-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A251_Not%20Applicable", - "description": "Northwestern Ecuador. Damage: Severe.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:263_Not Applicable", - "title": "Barcena, Mexico Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705887-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705887-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.ngdc.mgg.photos%3A263_Not%20Applicable", - "description": "Barcena is on San Benedicto Island, which lies off the coast of Mexico, south of Baja California and west of Mexico City.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:264_Not Applicable", - "title": "Cerro Negro, Nicaragua Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705827-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705827-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.ngdc.mgg.photos%3A264_Not%20Applicable", - "description": "This cinder cone in western Nicaragua has a name that means \"black hill.\" It has erupted more than 20 times since its birth in 1850. Explosive eruptions from the central crater are often accompanied by lava flows from the base of the cone. It is the youngest of four cinder cones scattered along a 20 km line east-southeast of Telica.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:29_Not Applicable", - "title": "April 1946 Unimak Island, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1946-04-01", - "end_date": "1946-04-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705762-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705762-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A29_Not%20Applicable", - "description": "On April 1, 1946, at 12:29 [local time] a rather strong magnitude 8.6 earthquake occurred with source to the south of Unimak Island, causing one of the most destructive tsunamis in the Pacific Ocean.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:32_Not Applicable", - "title": "April 1968 Southeast of Hawaii, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-04-03", - "end_date": "1968-04-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705763-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705763-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A32_Not%20Applicable", - "description": "This major (magnitude 7.9) earthquake caused 77 deaths (tsunami, 46; landslide, 31). It knocked almost all wooden houses off their foundations in the Keiawa, Punaluu, and Ninole areas.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:36_Not Applicable", - "title": "April 1981 Westmorland, Calipatria, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-04-26", - "end_date": "1981-04-26", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705807-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705807-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A36_Not%20Applicable", - "description": "Magnitude 6.3. Damage $1-$3 million. Subsidence was reported on several rural roads in the area. Liquefaction caused scores of mudpots, and oozing soil in nearby fields. One country road west of Westmorland collapsed, producing a 2-foot drop-off. In rural areas, unreinforced, concrete-lined irrigation canals were broken.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:4_Not Applicable", - "title": "April 1965 Seattle, USA Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1965-04-29", - "end_date": "1965-04-29", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705734-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705734-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A4_Not%20Applicable", - "description": "The magnitude 6.5 earthquake killed 7 and caused 12.5 million in property damage.", - "license": "proprietary" - }, - { - "id": "gov.noaa.ngdc.mgg.photos:52_Not Applicable", - "title": "April 2007 Solomon Islands, Papua New Guinea Images", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-04-01", - "end_date": "2007-04-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705809-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2105705809-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.ngdc.mgg.photos%3A52_Not%20Applicable", - "description": "An earthquake measuring 8.1 struck 345 kilometers northwest of the Solomon Islands' capital Honiara at 0740 local time on 2 April. (2040 GMT 1 April). The earthquake created a tsunami causing significant damage in the Solomon Islands. Large tsunami waves (reports range from 2m to 10m) are reported to have struck the islands in the Western Province area of Solomon Islands and some parts of Papua New Guinea. Affected areas include Gizo, Simbo, Ranogga, Shortlands, Munda, Noro, Vella la Vella, Kolombangarra and parts of the southern coast of Choiseul. At least 34 were killed and several dozen missing. 5,500 people are thought to have been displaced in total. The Ministry of Health and Medical Services (MHMS) estimates that up to 50,000 people may be affected out of a total population of 100,000 in Western and Choiseul provinces.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000015_Not Applicable", - "title": "Alkalinity, dissolved oxygen, nutrients, pH, phosphate, salinity, silicate, and temperature collected by bottle from multiple cruises in the Southern Oceans from 1/15/1958 - 3/2/1990 (NCEI Accession 0000015)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1958-01-15", - "end_date": "1990-03-02", - "bbox": "6.05, -70.233333, -47.033333, -26.05", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372155-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372155-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000015_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000028_Not Applicable", - "title": "Benthic species - TAXA counts, identities, and wet weights collected by sediment grab from multiple cruises in Prince William Sound, Alaska, from 10/22/1985 - 8/31/1988 (NCEI Accession 0000028)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-10-22", - "end_date": "1998-08-31", - "bbox": "-146.597, 61.0802, -146.2983, 61.13", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372272-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372272-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000028_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000029_Not Applicable", - "title": "1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-09-26", - "end_date": "1995-05-26", - "bbox": "-124.041667, 0.766667, -16.25, 46.263167", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections/gov.noaa.nodc%3A0000029_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000035_Not Applicable", - "title": "1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-07-09", - "end_date": "1998-03-06", - "bbox": "-124.003, 46.179833, -123.183167, 46.261667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections/gov.noaa.nodc%3A0000035_Not%20Applicable", - "description": "Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996. In 1997 there were 2 week cruises in May, July, and October.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000052_Not Applicable", - "title": "1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-03-01", - "end_date": "1988-06-28", - "bbox": "-149.4083, 59.9117, -149.3583, 60.02", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections/gov.noaa.nodc%3A0000052_Not%20Applicable", - "description": "Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000064_Not Applicable", - "title": "Arabian Sea Biogeochemistry from 27 August 1994 to 19 December 1994 (NCEI Accession 0000064)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-08-27", - "end_date": "1994-12-19", - "bbox": "56.5529, 7.7811, 67.3194, 26.0221", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372546-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372546-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000064_Not%20Applicable", - "description": "Arabesque was a multidisciplinary oceanographic research project focused on the Arabian Sea and Northwest Indian Ocean during the monsoon and intermonsoon season in 1994.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000085_Not Applicable", - "title": "Benthic taxonomy and benthic biomass data collected by the R/V Alpha Helix in support of the ISHTAR Project in the Bering and Chukchi Seas, 1984-1990 (NCEI Accession 0000085)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-06-19", - "end_date": "1990-06-21", - "bbox": "-175.00118, 60.014, -163.75, 70", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372672-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372672-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000085_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000103_Not Applicable", - "title": "Bering Sea Inner Front zooplankton data sets collected with CalVet net on four cruises from 6/3/1997 - 9/1/1998 (NCEI Accession 0000103)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-06-01", - "end_date": "1998-09-01", - "bbox": "-168.745, 55.0372, -159.994, 59.1733", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372740-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372740-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000103_Not%20Applicable", - "description": "Zooplankton and other data were collected using CalVet net in Bering sea from ALPHA HELIX. Data were collected from 01 June 1997 to 01 September 1998 by University of Alaska in Fairbanks with support from the Inner Front project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000107_Not Applicable", - "title": "Bering Sea Inner Front zooplankton, temperature, salinity, and conductivity data sets collected with MOCNESS net on five cruises aboard the ALPHA HELIX, 6/3/1997 - 6/7/1999 (NCEI Accession 0000107)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-06-03", - "end_date": "1999-06-07", - "bbox": "-170.282776, 55.07781, -158.38281, 59.65572", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372750-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372750-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000107_Not%20Applicable", - "description": "Zooplankton, temperature, species identification, and other data were collected from ALPHA HELIX using net casts in the Bering Sea. Data were collected from 03 June 1997 to 07 June 1999 by University of Alaska/IMS in Fairbanks, Alaska with support from Inner Front project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000121_Not Applicable", - "title": "Carbonate Chemistry of the Weddell Sea from 10/9/1981 - 11/25/1981 (NCEI Accession 0000121)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-10-09", - "end_date": "1981-11-25", - "bbox": "-50, -62.341667, 5.375, -37", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372851-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372851-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000121_Not%20Applicable", - "description": "Carbonate data for the Weddell sea are provided from both surface samples taken along the cruise track of the US-USSR Weddell Polynya Expedition (WEPOLEX-81) and from samples taken at vertical stations. The expedition aboard the Soviet icebreaker SOMOV began on October 9, 1981, and ended on November 25, 1981.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000247_Not Applicable", - "title": "Baseline marine biological survey at the Peacock Point outfall and other point-source discharges on Wake Atoll, Pacific Ocean in 1998-06 (NCEI Accession 0000247)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-06-01", - "end_date": "1998-06-30", - "bbox": "166.059837, 19.026867, 166.06553, 19.029755", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373514-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373514-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000247_Not%20Applicable", - "description": "The U.S. Army Space and Missile Defense Command (SMDC) in support of the Ballistic Missile Defense Organization (BMDO) sponsored a marine biological survey at Wake Atoll, located approximately 2,100 miles west of Honolulu at 19 18' North Latitude and 166 35' East Longitude. On behalf of the SMDC, biologists from the U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service (NMFS) were invited to Wake Atoll in June 1998. The purpose of the visit was to conduct baseline marine biological surveys in the vicinity of the Peacock Point outfall pipe and to examine the sites of other point-source discharges to the marine environment (i.e., power plant, desalinization plant, and stormwater outlets). The biologists were asked to (1) generally characterize the coral-reef habitats within the vicinity of the outfall, (2) document the primary species of reef fishes, corals, other macroinvertebrates, and algae that exist in those habitats, and (3) investigate whether the reef communities at the other sites appeared to have been impacted by the discharges.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000251_Not Applicable", - "title": "1996 Inventory of Endangered Species and Wildlife Resources on US Army Kwajalein Atoll, Republic of the Marshall Islands (NCEI Accession 0000251)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-09-22", - "end_date": "1996-12-12", - "bbox": "167.45, 8.73, 167.78, 9.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373544-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373544-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections/gov.noaa.nodc%3A0000251_Not%20Applicable", - "description": "This report summarizes the results of the first United States Army Kwajalein Atoll (USAKA) Activities in the Republic of the Marshall Islands (UES) inventory of endangered species and wildlife resources at USAKA, which was conducted in 1996. The 1996 inventory report is to be used as the official record of species and habitats of concern at USAKA until the results of the next inventory (1998) are reported and incorporated into the UES pursuant to the next applicable annual review. For the National Oceanographic Data Center, interest in the report focuses on the marine element. Data tables from marine surveys of sponges, corals, and mollusks are given.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000263_Not Applicable", - "title": "Chemical and depth data from the ALPHA HELIX using bottle casts in the Bering Sea from 1987-09-07 to 1988-06-11 (NCEI Accession 0000263)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-10-18", - "end_date": "1988-06-11", - "bbox": "-172.219, 62.317, -167.083, 65.668", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373584-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373584-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000263_Not%20Applicable", - "description": "Chemical and depth data were collected from the ALPHA HELIX from September 7, 1987 to June 11, 1988. Data were submitted by the University of Alaska - Fairbanks; Institute of Marine Science and California Department of Fish and Game. Data were collected using bottle casts in the Bering Sea.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000266_Not Applicable", - "title": "Chemical, physical, and salinity data from bottle and CTD casts in a world-wide distribution from 14 May 1957 to 18 December 1999 (NCEI Accession 0000266)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1957-05-14", - "end_date": "1999-12-18", - "bbox": "-57.227, -67, -149.3, 48.052", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373602-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373602-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000266_Not%20Applicable", - "description": "Chemical, physical, and salinity data were collected from multiple ships from May 14, 1957 to December 18, 1999. Data were collected from the IFREMER, ORSTOM, and NEW CALEDONIA using CTD and bottle casts in a world-wide distribution. Chemical include pH, dissolved oxygen, phosphate, silicate, nitrate, nitrite, and ammonium.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000268_Not Applicable", - "title": "Chlorophyll, temperature, depth, and irradiance data from bottle in a world-wide distribution from 28 February 1964 to 02 April 1994 (NCEI Accession 0000268)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1964-02-28", - "end_date": "1994-04-02", - "bbox": "-179.6, -21.5, -1.3, 49.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373618-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373618-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000268_Not%20Applicable", - "description": "Chlorophyll, temperature, depth, and irradiance data were collected using bottle from multiple vessels in a world-wide distribution from 28 February 1964 to 02 April 1994.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000298_Not Applicable", - "title": "Chemical, Physical, and zooplankton abundance/biomass data collected using several instruments in the Coastal Waters of California as a part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 07 January 2000 to 01 July 2000 (NCEI Accession 0000298)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2000-01-07", - "end_date": "2000-07-14", - "bbox": "-124.331667, 29.848333, -117.303333, 35.091667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373763-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373763-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsIGFuZCBwcm9maWxlIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSByeWFuIGNob3Vlc3QgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGZyb20gMjAxMC0wOS0wNCB0byAyMDEwLTA5LTA4IGluIHJlc3BvbnNlIHRvIHRoZSBkZWVwd2F0ZXIgaG9yaXpvbiBvaWwgc3BpbGwgZXZlbnQgKG5jZWkgYWNjZXNzaW9uIDAwNjkxMjApXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA2OTEyMFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzczNTM3LDFdIiwidW1tIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsIGFuZCBwcm9maWxlIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSByeWFuIGNob3Vlc3QgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGZyb20gMjAxMC0wOS0wNCB0byAyMDEwLTA5LTA4IGluIHJlc3BvbnNlIHRvIHRoZSBkZWVwd2F0ZXIgaG9yaXpvbiBvaWwgc3BpbGwgZXZlbnQgKG5jZWkgYWNjZXNzaW9uIDAwNjkxMjApXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA2OTEyMFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzczNTM3LDFdIn0%3D/gov.noaa.nodc%3A0000298_Not%20Applicable", - "description": "Chemical, physical, and zooplankton abundance/biomass data were collected using secchi disk, zooplankton net, current meter (ADCP), bottle, and CTD casts in the Coastal Waters of California from the NEW HORIZON and DAVID STARR JORDAN. Data were collected from January 7, 2000 to July 1, 2000. Data were submitted by Scripps Institution of Oceanography as a part of the California Cooperative Fisheries Investigation (CALCOFI) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000303_Not Applicable", - "title": "Chemical, transmissivity, and other data from CTD, bottle, and BT casts in the Arctic Ocean, North Atlantic Ocean, and North Pacific Ocean from 29 June 1966 to 22 April 2000 (NCEI Accession 0000303)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1966-06-29", - "end_date": "2000-04-22", - "bbox": "150.5017, -15.0005, -40.8833, 79.0202", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373798-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373798-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000303_Not%20Applicable", - "description": "Chemical, transmissivity, fluorescence, nutrients, and temperature data were collected from multiple ships from June 29, 1966 to April 22, 2000. Data were submitted by Marine Environmental Data Service. Data were collected using bottle, BT, and CTD casts in the Arctic Ocean, North Atlantic Ocean and South Atlantic Ocean.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000340_Not Applicable", - "title": "Bacteria and other data from the HERMANO GINES using bottle casts in the Caribbean Sea from 14 November 1997 to 07 November 1998 (NCEI Accession 0000340)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-11-14", - "end_date": "1998-11-07", - "bbox": "-64.675, 10.49, -64.666667, 10.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373897-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373897-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000340_Not%20Applicable", - "description": "Bacteria and other data were collected from the HERMANO GINES from November 14, 1997 to November 7, 1998. Data were submitted by State University of New York - Stony Brook as part of the Carbon Retention in a Colored Ocean project. Data were collected using bottle casts in the Caribbean Sea.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000349_Not Applicable", - "title": "Bottom-mounted water level recorder data in the Gulf of Alaska as part of the Inner Shelf Transport and Recycling (ISHTAR) project from 05 July 1985 to 09 October 1988 (NCEI Accession 0000349)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-07-05", - "end_date": "1988-10-09", - "bbox": "-172.247, 62.815, -168.22, 68.122", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373949-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373949-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000349_Not%20Applicable", - "description": "Depth, pressure, and water temperature data were collected at fixed platforms in the Gulf of Alaska from July 5, 1985 to October 9, 1988. These data were submitted by the University of Alaska - Fairbanks; Institute of Marine Science as part of the Inner Shelf Transfer and Recycling (ISHTAR) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000354_Not Applicable", - "title": "Chemical, physical, and other data from various cruises in the Northeast Pacific Ocean from 08 July 1974 to 21 August 1983 (NCEI Accession 0000354)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-07-08", - "end_date": "1983-08-21", - "bbox": "-127.633333, 47, -123.166667, 55.95", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373979-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373979-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000354_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from the YAQUINA, CAYUSE, WECOMA, and THOMAS G. THOMPSON from July 8, 1974 to August 21, 1983. Data were submitted by University of Washington using bottle and CTD casts in Coastal Waters of the Washington/Oregon and Northeast Pacific Ocean.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000358_Not Applicable", - "title": "Barometric pressure, conductivity, temperature, and water level data from tide gauge from the Florida Department of Environmental Protection Tide Station from 01 January 1977 to 31 December 1999 (NCEI Accession 0000358)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-01-01", - "end_date": "1999-12-31", - "bbox": "-81.68, 27.15, -80.15, 30.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373989-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373989-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000358_Not%20Applicable", - "description": "Barometric pressure, conductivity, temperature, and water level data were collected at fixed platforms in the North Atlantic Ocean and Coastal waters of Florida from January 1, 1977 to December 31, 1999. Data were submitted by Florida Department of Environmental Protection. These data were collected using tide gauge at the fixed locations.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000366_Not Applicable", - "title": "Air/delta/sea surface temperature, pressure, and other data from MISS GAIL in a world-wide distribution from 21 October 1957 to 18 April 1961 (NCEI Accession 0000366)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1957-10-21", - "end_date": "1961-04-18", - "bbox": "18.7, -43.033333, 16.3, 64.033333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374032-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374032-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000366_Not%20Applicable", - "description": "Air/delta/sea surface temperature, pressure, and other data were collected from the MISS GAIL in a world-wide distribution from October 21, 1957 to April 18, 1961. Data were submitted by the NOAA Oar Climate Monitoring and Diagnostics Lab.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000396_Not Applicable", - "title": "Chlorophyll data from the Coastal waters of Hawaii and Northeast Pacific Ocean to study the responses of the ecosystem to the sewage diversion from the the inner bay to an offshore, deep-water location from 24 September 1976 to 15 June 1979 (NCEI Accession 0000396)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-09-24", - "end_date": "1979-06-15", - "bbox": "-157.76, 21.4, -157.76, 21.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374658-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374658-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000396_Not%20Applicable", - "description": "Chlorophyll data were collected at fixed platforms in the Coastal waters of Hawaii and Northeast Pacific Ocean from September 24, 1976 to June 15, 1979. Data were submitted by the University of Hawaii, Maui. Data were collected using pump sampler.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000411_Not Applicable", - "title": "Aquatic vegetation were photographed from aircraft from Florida Bay, Indian River (Florida), and the Coast of Massachusetts (NCEI Accession 0000411)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "", - "end_date": "", - "bbox": "28.15, -81, 71.3, -41.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374769-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374769-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000411_Not%20Applicable", - "description": "Aerial photographs were taken of the aquatic vegetation of Florida Bay, Indian River (Florida), and the Coast of Massachusetts. Photographs were scanned and geo-referenced for the purpose of mapping. Data is contained on a \"DLT\" tape and is stored \"off-site\" as a secure backup copy.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000422_Not Applicable", - "title": "An Eighteen-Year Time-Series of Chlorophyll Monthly Averages from Kaneohe Bay, Oahu, Hawaii, 1982 - 2001 (NCEI Accession 0000422)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-06-01", - "end_date": "2001-01-31", - "bbox": "-157.78, 21.41, -157.78, 24.41", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374869-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374869-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000422_Not%20Applicable", - "description": "Chlorophyll data were collected from a sewage outfall site in Kaneohe Bay, Hawaii, from 1982 to 2001. The purpose of the project was to study the responses of the ecosystem to the sewage diversion from the inner bay to an offshore, deep water location and to continue monitoring the location to denote changes associated with natural environmental and anthropogenic forcing on the primary productivity. Data were submitted by the University of Hawaii at Manoa and funding was provided by the Environmental Protective Agency (EPA).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000425_Not Applicable", - "title": "Biological, chemical, geological, and other data were collected from the R/V KITTIWAKE at 100 sites in Puget Sound from 01 June 1998 to 01 July 1998 as part of a three-year study of toxins (NCEI Accession 0000425)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-06-01", - "end_date": "1998-07-01", - "bbox": "-122.3, 47.3, -122.3, 47.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374887-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374887-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwgYW5kIG90aGVyIGRhdGEgY29sbGVjdGVkIGZyb20gc3RhdGlvbiBodW1ib2xkdCBiYXkgcGllciBieSBodW1ib2xkdCBzdGF0ZSB1bml2ZXJzaXR5IGFuZCBhc3NlbWJsZWQgYnkgY2VudHJhbCBhbmQgbm9ydGhlcm4gY2FsaWZvcm5pYSBjb2FzdGFsIG9jZWFuIG9ic2VydmluZyBzeXN0ZW0gKGNlbmNvb3MpIGluIHRoZSBub3J0aGVhc3QgcGFjaWZpYyBvY2VhbiBmcm9tIDIwMTItMTItMTMgdG8gMjAxOC0wMy0wNyAobmNlaSBhY2Nlc3Npb24gMDE2Mzc1MClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMTYzNzUwXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzY1NDUsMV0iLCJ1bW0iOiJbXCJiaW9sb2dpY2FsLCBjaGVtaWNhbCBhbmQgb3RoZXIgZGF0YSBjb2xsZWN0ZWQgZnJvbSBzdGF0aW9uIGh1bWJvbGR0IGJheSBwaWVyIGJ5IGh1bWJvbGR0IHN0YXRlIHVuaXZlcnNpdHkgYW5kIGFzc2VtYmxlZCBieSBjZW50cmFsIGFuZCBub3J0aGVybiBjYWxpZm9ybmlhIGNvYXN0YWwgb2NlYW4gb2JzZXJ2aW5nIHN5c3RlbSAoY2VuY29vcykgaW4gdGhlIG5vcnRoZWFzdCBwYWNpZmljIG9jZWFuIGZyb20gMjAxMi0xMi0xMyB0byAyMDE4LTAzLTA3IChuY2VpIGFjY2Vzc2lvbiAwMTYzNzUwKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAxNjM3NTBcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3NjU0NSwxXSJ9/gov.noaa.nodc%3A0000425_Not%20Applicable", - "description": "Biological, chemical, geological, and other data were collected from the R/V Kittiwait from 01 June 1998 to 01 July 1998. Data were submitted by the Washington State Department of Ecology (WADOE) as part of a 3 year, 100 site, study of toxins in the Puget Sound. Biological data include infauna surveys, amphipod bioassays, and percent urchin fertilization. Chemical data include results of tests for toxins by cytochrome and microtoxology. Geological data include determination of grain fractions.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000447_Not Applicable", - "title": "Benthic data from bottom grabs from Prince William Sound in support of Exxon Valdez Oil Spill Restoration Project from the R/V DAVIDSON and R/V BIG VALLEY from 03 July 1990 to 25 June of 1991 (NCEI Accession 0000447)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-07-03", - "end_date": "1991-06-25", - "bbox": "-147.08803, 60.273, -146.92303, 60.332", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375015-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375015-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000447_Not%20Applicable", - "description": "Benthic samples and other data were collected from the R/V DAVIDSON and R/V BIG VALLEY from the Prince William Sound from 03 July 1990 to 25 June of 1991 . Data were collected as part of the Exxon Valdez Oil Spill Restoration Project. Data were collected by the University of Alaska - Fairbanks / Institute of Marine Science (UAK/IMS) with bottom grab sampler and include taxonomic identities and taxonomic counts of benthic animals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000501_Not Applicable", - "title": "A unified, long-term, Caribbean-wide initiative to identity the factors responsible for sustaining mangrove wetland, seagrass meadow, and coral reef productivity, February 1993 - October 1998 (NCEI Accession 0000501)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-02-12", - "end_date": "1998-10-15", - "bbox": "-90.583333, 9.583333, -59.633333, 24.05", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375341-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375341-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000501_Not%20Applicable", - "description": "The Caribbean Coastal Marine Productivity (CARICOMP) Program is a Caribbean-wide research and monitoring network of 27 marine laboratories, parks, and reserves in 17 countries. This data set includes data collected from 42 stations at 29 sites in the Caribbean from 1993 to 1998. Line transects were used to determine the abundance of hard and soft corals, algae, sponges, urchins, and biotic material such as substrate type.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000504_Not Applicable", - "title": "Bacteria, plankton, and trace metal, and other data from bottle and CTD casts in the Antarctic from the NATHANIEL B. PALMER and ROGER REVELLE in support of the US Joint Global Ocean Flux Study / Antarctic Environments Southern Ocean Process Study (JGOFS /AESOPS) from 1996-10-17 to 1998-03-15 (NCEI Accession 0000504)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-10-17", - "end_date": "1998-03-15", - "bbox": "163.34, -78.05, -165.91, -52.95", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375350-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375350-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000504_Not%20Applicable", - "description": "Phytoplankton and other data were collected in the Antarctic from the NATHANIEL B. PALMER and ROGER REVELL from 17 October 1996 to 15 March 1998. Bottle data include enumeration and counts of bacteria, picoplankton, nanoplankton and nano microplankton. Bottle data also include concentrations of trace metals. CTD data include conductivity, temperature, and salinity profiles. Data were collected in support of the US Joint Global Ocean Flux Study / Antarctic Environments Southern Ocean Process Study (JGOFS/AESOPS).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000525_Not Applicable", - "title": "Chlorophyll and brevetoxin data from the ECOHAB project along the west coast of Florida from 1999-2000 (NCEI Accession 0000525)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-10", - "end_date": "2000-09-29", - "bbox": "-87.23565, 25.44867, -81.71588, 30.39237", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375484-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375484-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hsb3JvZmx1b3JvY2FyYm9ucywgdGVtcGVyYXR1cmUsIHNhbGluaXR5IGFuZCBvdGhlciBtZWFzdXJlbWVudHMgY29sbGVjdGVkIGZyb20gZGlzY3JldGUgc2FtcGxlcyBhbmQgcHJvZmlsZSBvYnNlcnZhdGlvbnMgZHVyaW5nIHRoZSByL3YgdXJhbmlhIGNydWlzZSAoZXhwb2NvZGUgNDh1cjE5OTcwODMwKSBpbiB0aGUgbWVkaXRlcnJhbmVhbiBzZWEgZnJvbSAxOTk3LTA4LTMwIHRvIDE5OTctMDktMDggKG5jZWkgYWNjZXNzaW9uIDAxNzU5NDIpXCIsXCJOT0FBX05DRUlcIixcIjEwLjI1OTIxL2c0cG4tNzkyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc2NDAwLDFdIiwidW1tIjoiW1wiY2hsb3JvZmx1b3JvY2FyYm9ucywgdGVtcGVyYXR1cmUsIHNhbGluaXR5IGFuZCBvdGhlciBtZWFzdXJlbWVudHMgY29sbGVjdGVkIGZyb20gZGlzY3JldGUgc2FtcGxlcyBhbmQgcHJvZmlsZSBvYnNlcnZhdGlvbnMgZHVyaW5nIHRoZSByL3YgdXJhbmlhIGNydWlzZSAoZXhwb2NvZGUgNDh1cjE5OTcwODMwKSBpbiB0aGUgbWVkaXRlcnJhbmVhbiBzZWEgZnJvbSAxOTk3LTA4LTMwIHRvIDE5OTctMDktMDggKG5jZWkgYWNjZXNzaW9uIDAxNzU5NDIpXCIsXCJOT0FBX05DRUlcIixcIjEwLjI1OTIxL2c0cG4tNzkyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc2NDAwLDFdIn0%3D/gov.noaa.nodc%3A0000525_Not%20Applicable", - "description": "Water and sediment samples were collected on annual ECOHAB Process cruises and on isolated Mote transects (10/13/99 and 10/20/99). Samples will be analyzed for brevetoxin using a competetive ELISA assay (Naar and Baden, in progress) as well as a receptor-binding assay (VanDolah et al., 1994), and have been analyzed for chlorophyll a (water only) using the Welschmeyer (1994) non-acidification technique. (To be updated when data has been analyzed.)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000599_Not Applicable", - "title": "Aids to Navigation (ATONS) GIS data from the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas as of 1999-10-21 (NCEI Accession 0000599)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-01-01", - "end_date": "1999-10-21", - "bbox": "-98.320706, 17.398031, -61.876841, 32.288483", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376009-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376009-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0000599_Not%20Applicable", - "description": "This accession contains a GIS database of Aids to Navigation in the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas. These data were compiled on 1999-10-21. The term \"Aids to Navigation\" (ATONS or AIDS) refers to a device outside of a vessel used to assist mariners in determining their position or safe course, or to warn them of obstructions. AIDS to navigation include lighthouses, lights, buoy, sound signals, landmarks, racons, radio beacons, LORAN, and omega. These include AIDS which are installed and maintained by the Coast Guard as well as privately installed and maintained aids (permit required). This does not include unofficial AIDS (illegal) such as stakes, PVC pipes, and such placed without permission. Each USCG District Headquarters is responsible for updating their database on an \"as needed\" basis. When existing AIDS are destroyed or relocated and new AIDS are installed the database is updated. Each AID is assigned an official \"light listing number\". The light list is a document listing the current status of ATONS and it is published and distributed on a regular basis. Interim changes to the light list are published in local Notices to Mariners which are the official means which navigators are supposed to keep their charts current. In addition, the USCG broadcasts Notices to Mariners on the marine band radio as soon as changes of the status of individual AIDS are reported. The light list number and local Notices to Mariners reports are suggested ways to keep the database current on a regular or even \"real time\" basis. However, annual (or more frequent) updates of the entire dataset may be obtained from each USCG District Headquarters. Geographic Information System (GIS) software is required to display the data in this NCEI accession.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000630_Not Applicable", - "title": "Baseline marine biological survey at Roi-Namur sewage outfall, United States Army Kwajalein Atoll, Republic of the Marshall Islands, 1997 (NCEI Accession 0000630)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-08-01", - "end_date": "1997-08-31", - "bbox": "167.44, 9.37, 167.46, 9.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372128-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372128-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000630_Not%20Applicable", - "description": "Roi-Namur is located at the northernmost tip of Kwajalein Atoll, approximately 64 kilometers north of the U.S. Army Kwajalein Atoll (USAKA) central command post on Kwajalein Islet. Roi-Namur has a single sewage outfall, which is located at the northwestern corner of the islet. Originally, the outfall extended from shore to a point about halfway across the reef flat where the pipe ended abruptly as an upturned, uncapped elbow. Raw sewage was pumped through the pipe in pulses approximately every 15-20 minutes. Waves and shallow currents across the reef flat carried at least some of the effluent back toward shore and the lagoon, creating a potentially unhealthy situation. In order to correct this problem, USAKA implemented a plan to extend the original outfall all the way across the reef flat and into the open ocean where the predominant current flow would carry effluent-mixed waters away from the islet. Ultimately, the extended outfall was to be connected to a new sewage treatment facility that would discharge primarily treated effluent. Because of a concern that this discharge might adversely impact the coral-reef community surrounding the end of the new outfall, a baseline marine biological survey was to be conducted prior to start-up of the new sewage treatment facility. As planned, the results of this survey would provide a baseline against which the results of future surveys could be compared in order to determine whether a balanced community of indigenous species had been maintained at the site during operation of the facility. If not, conversion to secondary treatment at the facility would need to be considered. The first resurvey was planned to occur one year after start-up of the new sewage treatment facility with subsequent resurveys planned for every five years thereafter. In August 1997, biologists from the U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service (NMFS) conducted the baseline marine biological survey in the vicinity of the Roi-Namur outfall. For the National Oceanographic Data Center, interest in the report focuses on the marine element. Data tables from marine surveys of reef fishes, corals, other macroinvertebrates, and algae that exist in those habitats are provided.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000670_Not Applicable", - "title": "Biological assessment of marine resources for the Republic of the Maldives, Indian Ocean, August, 2001 (NCEI Accession 0000670)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-08-22", - "end_date": "2001-08-29", - "bbox": "72.716667, 2.933333, 73.566667, 5.516667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372434-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372434-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000670_Not%20Applicable", - "description": "In August 2001, biologists from the U.S. Fish and Wildlife Service and the National Marine Fisheries Service were asked to conduct an assessment of the national government's capability to respond to major threats (e.g. anthropogenic and natural) to the marine habitat of the Republic of the Maldives. A marine survey was conducted at selected locations to assess impacts to the marine environment. Biologists documented reef fishes, corals, other macroinvertebrates, and algae, and provided general descriptions of the benthic community at each of four primary survey sites.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000703_Not Applicable", - "title": "Chemical, current meter, and other data from current meter, bottle, XBT, and CTD casts in the Gulf of Mexico as part of the Northeastern Gulf of Mexico Physical Oceanographic Program: Chemical Oceanography and Hydrography Study (NEGOM) project, 16 November 1997 to 08 August 2000 (NCEI Accession 0000703)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-11-16", - "end_date": "2000-08-08", - "bbox": "-89.94, 27.49, -82.83, 30.36", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372555-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372555-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000703_Not%20Applicable", - "description": "Chemical, current meter, and other data were collected using current meter, bottle, XBT, and CTD casts in the Gulf of Mexico from November 16, 1997 to August 8, 2000. Data were submitted by Texas A&M University as part of the Northeastern Gulf of Mexico Physical Oceanographic Program: Chemical Oceanography and Hydrography Study (NEGOM) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000732_Not Applicable", - "title": "Bacteria, carbon dioxide, and methane data from bottle casts in the Cariaco Basin on the continental shelf of Venezuela from the HERMANO GINES from 2000-05-03 to 2000-10-31 (NCEI Accession 0000732)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2000-05-03", - "end_date": "2000-10-31", - "bbox": "-64.66, 10.48, -64.65, 10.48", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372784-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372784-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000732_Not%20Applicable", - "description": "Bacteria, carbon dioxide, and methane data were collected employing bottle casts from the Hermano Gines in the Cariaco Basin on the continental shelf of Venezuela. Data were collected by the State University of New York - Stony Brook (SUNY) from 03 May 2000 to 31 October 2000. Bacteria data include rates of production of bacteria and flagellates. Abundances of remineralizers (bacteria) and regenerators (protozoa) were determined using microscopic censuses. Methane data includes rates of respiration and incorporation. Data are in a comma-seperated value (.csv) fromat.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000737_Not Applicable", - "title": "Bacteria, carbon dioxide, and methane data from bottle casts in the Cariaco Basin on the continental shelf of Venezuela from the HERMANO GINES from 2001-04-30 to 2001-05-01 (NCEI Accession 0000737)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-04-30", - "end_date": "2001-05-01", - "bbox": "-64.66, 10.48, -64.66, 10.48", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372826-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372826-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000737_Not%20Applicable", - "description": "Bacteria, carbon dioxide, and methane data were collected from bottle casts from the HERMANO GINES in the Cariaco Basin on the continental shelf of Venezuela. Data were collected from 30 April 2001 to 01 May 2001. Bacteria data include rates of production of bacteria and flagellates. Abundances of remineralizers (bacteria) and regenerators (protozoa) were determined using microscopic censuses. Methane data include rates of respiration and incorporation. Data was submitted by the State University of New York, Stony Brook, as a comma- seperated value (.csv) file.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000780_Not Applicable", - "title": "Biological, physical, nutrients, and other data were collected from bottle casts, CTD casts, net casts, and other instruments from the A.V. HUMBOLDT and the JOHAN HJORT from the Norwegian Sea in support of the Global Ocean Ecosystems Dynamics from 1993-06-02 to 1993-06-13 (NCEI Accession 0000780)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-06-02", - "end_date": "1993-06-13", - "bbox": "-80, 60, 30, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373165-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373165-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000780_Not%20Applicable", - "description": "Bottle, CTD, net, and other data were collected from the A.V. HUMBOLDT and the JOHAN HJORT from the Norwegian Sea. Data were collected by multiple institutions in support of the Global Ocean Ecosystems Dynamics (GLOBEC) from 02 June 1993 to 13 June 1993. Bottle data include concentration profiles of chlorophyll a,b,c. CTD data include profiles of temperature and salinity. Net data include species identities and abundance of zooplankton.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000787_Not Applicable", - "title": "Chlorophyll data were collected by R/V Nathaniel B. Palmer on the western Antarctic shelf in support of the GLOBEC project, 2001-04 to 2001-06 (NCEI Accession 0000787)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-04-04", - "end_date": "2001-06-01", - "bbox": "-77.76, -70.63, -67.39, -65.65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373201-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373201-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000787_Not%20Applicable", - "description": "GLOBEC (Global Ocean Ecosystem Dynamics) was initiated by SCOR and the IOC of UNESCO in 1991, to understand how global change will affect the abundance, diversity and productivity of marine populations comprising a major component of oceanic ecosystems. The aim of GLOBEC is to advance our understanding of the structure and functioning of the global ocean ecosystem, its major subsystems, and its response to physical forcing so that a capability can be developed to forecast the responses of the marine ecosystem to global change.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000794_Not Applicable", - "title": "A survey of selected coral and fish assemblages near the Waianae Ocean Outfall, Oahu, Hawaii, 1990-1999 (NCEI Accession 0000794)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-10-01", - "end_date": "1999-08-31", - "bbox": "-158.28, 21.41, -158.26, 21.43", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373252-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373252-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000794_Not%20Applicable", - "description": "During 1990-1999, coral growth and fish abundance were monitored at stations located at and in the vicinity of the Waianae Ocean Outfall. Comparisons of results with fish surveys showed no significant differences in the species composition or relative abundances of fish populations at Station W-2 (the sunken ship Mahi), which is located 1.2 km south of the diffuser. Fish abundance and species richness increased at Station W- 3, which is located at the diffuser, from 1990 to 1995, decreased in 1996, and increased again in 1997 through 1999. At Station WW, an inshore station located 0.8 km from shore, fish were abundant and speciose on the armor rock covering the pipeline. The fish species seen inshore are comparable to fish species seen in similar (boulder) natural biotopes around Hawaii. There were no significant differences in total mean coral cover at selected quadrats from 1994 to 1999 at Station W-2. However, there was a significant increase (approximately 8%) in total mean coral cover at this station from 1991 to 1999. At the diffuser, corals were seen growing on the diffuser pipe and on the riser discharge ports. In 1986, when the diffuser began operation at a discharge rate of 1.5 mgd (0.07 m3/s), no corals were seen at this location. At inshore station WW, corals off the pipeline were sparsely distributed but were numerous and thriving on the armor rock over the pipeline. In 1998 the inshore transect (Alpha), off the armor rock, was covered (30%) with the alga Dictyopteris plagiogramma; however, in 1999 it disappeared. This seaweed was also abundant at this location in 1995, 1996, and 1997. The water was clear at all stations surveyed (13 to 20 m horizontal visibility), and the surrounding sediments were clean and white. No significant deleterious effect due to outfall operation and discharge were seen on the biological community at the stations surveyed. The increase in fish diversity and abundance at the diffuser since 1997 may be due to natural fluctuations in abundance or to environmental conditions suitable to the fish populations living there.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000820_Not Applicable", - "title": "Bacteria Biomass and Chlorophyll-a depth profiles from bottle casts off the western Antarctic Peninsula from the R/V LAURENCE M. GOULD from 23 April 2001 to 01 September 2001 (NCEI Accession 0000820)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-04-29", - "end_date": "2001-09-01", - "bbox": "-72.42, -69.88, -67.04, -66.22", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373349-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373349-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000820_Not%20Applicable", - "description": "Bacteria and Chlorophyll data were collected from bottle cast of the western Antarctic peninsula from the R/V Laurence M. Gould. Data were collected by the University of Nevada/Desert Research Institute (DRI) in support of the Global Ocean Ecosystems Dynamic (GLOBEC) project from 23 April 2001 to 01 September 2001. Bacteria data include profiles of bacterial abundance and biomass. Chlorophyll-a data include concentration profiles.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000829_Not Applicable", - "title": "Broward County Florida thermographic data collected at twelve locations along four eastward lines that cross three offshore reef Tracks during the time period July 2000 to the present using self-recording temperature gauges (NCEI Accession 0000829)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2000-07-01", - "end_date": "2002-11-30", - "bbox": "-80.112007, 26.020458, -80.077343, 26.159952", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373393-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373393-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0000829_Not%20Applicable", - "description": "Broward County Florida has responsibility for the resource management of coral reefs in marine waters adjacent to Broward County. The Department of Planning and Environmental Protection is assigned the duties of monitoring the health of the coral reefs. Environmental stresses are a limiting factor in the biomass and diversity, and maintaining these populations of coral species requires an understanding of the environmental factors. One of these factors is the water temperature. Visual surveys are conducted by divers, and the staff has implemented an environmental monitoring program with water temperature as the first measured parameter. The monitoring program is on a \"not to interfere basis\" using self-recording thermographs for data acquisition. The thermographs are placed along coral reef tracks located in three separate bands near the northern most extent of the natural range for corals. The raw data are captured from the recorder by means of a laptop computer using transfer and conversion software provided by the instrument's vendor. Upon return to the office, the raw data are transferred to separate files that are then loaded into spreadsheet files. Each spreadsheet file corresponds to a single location and only one instrument. Twelve spreadsheet files are updated every sixty days for the dynamic raw data; the static geographical information is stored in a separate spreadsheet file.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000861_Not Applicable", - "title": "A Hydrographic Survey of the Scotia Sea, 15 March 1999 to 22 April 1999 (NCEI Accession 0000861)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-03-15", - "end_date": "1999-04-22", - "bbox": "-68.260333, -67.576667, -2.296667, 10", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373502-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373502-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0000861_Not%20Applicable", - "description": "CTD and chemical data were collected using CTD and bottle casts in the Drake Passage and Scotia Sea from the JAMES CLARK ROSS. Data were collected from 15 March 1999 to 22 April 1999. Data were collected and submitted by the University of East Anglia with support of the Antarctic Large-scale Box Analysis and the Role of the Scotia Sea (ALBATROSS) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000879_Not Applicable", - "title": "Abundance data acquired in support of invasive species distribution studies at ten macroalgal ecology and taxonomic assessment sites in Hawaii during 2001 (NCEI Accession 0000879)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-01-26", - "end_date": "2001-05-18", - "bbox": "-158.14, 19.27, -155.05, 21.37", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373608-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373608-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000879_Not%20Applicable", - "description": "Abundance data represent estimates of percent cover of species type (coral or algal) in 10 randomly placed quadrats along two 50 meter transect lines of each site. Data are available for 10 sites from Oahu to the Island of Hawaii taken in 2001 in support of the Macroalgal Ecology and Taxonomic Assessment (TEAM) Project. The species for abundance estimates include 11 corals, 5 invertebrates, 33 algals, and 2 benthic types (turf or sand). The role that marine algae play in a coral reef system is often overlooked because of lack of knowledge that they are the primary producers in the system. The coral reef ecosystem in Hawaii contains about ten times more algal species than coral species, some of them regulating space that permits coral recruitment. The primary purpose of the TEAM research program is to provide taxonomic and ecological algal expertise for the Coral Reef Monitoring and Assessment Program (CRAMP). Our group also seeks to develop, implement and assess new methodologies for quantitatively surveying benthic algal communities in the Hawaiian Islands.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000918_Not Applicable", - "title": "Chemical data from bottle casts in the Arctic Ocean and other Sea areas by the University of Alaska, from 16 April 1948 to 17 September 2000 (NCEI Accession 0000918)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1948-04-16", - "end_date": "2000-09-17", - "bbox": "-71, 16, -80.123, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373877-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373877-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000918_Not%20Applicable", - "description": "Chemical data were collected using bottle casts from multiple vessels in the Arctic Ocean and other Sea areas from 16 April 1948 to 17 September 2000. Data were submitted by the University of Alaska in Fairbanks, Alaska. Chemical data include alkalinity, nitrate, nitrite, oxygen, silicate, and phosphate.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000931_Not Applicable", - "title": "Aerial surveys of ringed seals (Phoca hispida) on fast and pack ice in the central Beaufort Sea of Alaska, 1985-1987 and 1996-1999 (NCEI Accession 0000931)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-05-28", - "end_date": "1999-06-04", - "bbox": "-156.9983, 69.6517, -141.025, 71.865", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373928-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373928-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0000931_Not%20Applicable", - "description": "These datasets include counts of ringed seals (Phoca hispida) and other marine mammals made during aerial surveys of ringed seals on fast and pack ice of the central Alaskan Beaufort Sea during 1985-1987 and 1996-1999. The datasets includes counts of seals, by group; designation of whether seals were at holes or along cracks; ice conditions including ice deformation and ice type (fast ice or pack ice); weather conditions; time of observations, and location of observations.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0000999_Not Applicable", - "title": "Chlorophyll data collected by the research vessels Nathaniel B. Palmer and Laurence M. Gould in support of the Southern Ocean studies of the GLOBEC project, May - September 2002 (NCEI Accession 0000999)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-04-14", - "end_date": "2002-09-12", - "bbox": "-77.76, -69.44, -65.5, -65.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374535-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374535-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0000999_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001063_Not Applicable", - "title": "Anthropogenic and natural stresses on coral reefs in Hawaii: a multi-decade synthesis of impact and recovery from 1973 to 2002 (NCEI Accession 0001063)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-01-01", - "end_date": "2002-12-31", - "bbox": "-155.95, 19.48, -155.5, 22.22", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374816-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374816-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0001063_Not%20Applicable", - "description": "In 2002, quantitative photo-transect surveys documenting coral community structure off six coastal sites in Hawaii were repeated to complete longterm data sets of 12 to 30 years duration. Study sites included areas fronting resort development, active and inactive sewage outfalls, and an area where there is no anthropogenic activity, but has been subjected to a variety of storm events. At the only site within a semi-enclosed embayment erosion from surrounding pineapple fields resulted in a decrease in living coral. Such periodic sedimentation in the Bay drives a cycle of damage and recovery that results in coral community structure different than other sheltered embayments in Hawaii. At the other five sites, located in open coastal waters, coral community structure was not adversely affected by shoreline development or discharge of treated sewage effluent. Long-term studies of pristine reefs under natural stress from episodic storms indicate that recovery along the successional continuum varies with time in the different reef zones. The results of these studies provide a framework for effective and efficient coral reef management in Hawaii. Understanding patterns of natural and maninduced stress and recovery can provide a good model for management strategies, as anthropogenic impacts are superimposed over natural stresses. Our results provide good evidence that management efforts should be concentrated in embayments and areas with restricted circulation. Because such areas comprise less than 10% of the coastal areas, it is concluded that the overall condition of coral reefs in Hawaii is good, and should remain so. While concerns of catastrophic loss from anthropogenic impact to coral reefs are valid in some areas of the world, they do not accurately depict the overall health of coral reefs in Hawaii.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001078_Not Applicable", - "title": "Bacteria, carbon dioxide and methane measurements in the Cariaco Basin on the continental shelf of Venezuela, April 2001 - January 2002 (NCEI Accession 0001078)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-04-30", - "end_date": "2002-01-17", - "bbox": "-64.66, 10.48, -64.66, 10.48", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374867-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374867-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001078_Not%20Applicable", - "description": "Bacteria, carbon dioxide and methane measurements were collected using bottle casts in the Cariaco Basin on the continental shelf of Venezuela from 30 April 2001 to 17 January 2002. Data were submitted by Dr. Mary Scranton of State University of New York in Stony Brook with support from the CArbon Retention In A Colored Ocean (CARIACO) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001102_Not Applicable", - "title": "Chlorophyll and phaeophytin data collected in the Southern Oceans in support of the Global Ocean Ecosystem Dynamics project, 2001-07 to 2001-08 (NCEI Accession 0001102)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-07-27", - "end_date": "2001-08-25", - "bbox": "-75.68, -69.3, -67.68, -65.64", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374917-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374917-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001102_Not%20Applicable", - "description": "Underway meteorological data were collected during NBP01 04 to help document the surface weather conditions encountered during the cruise and to characterize the surface forcing fields in the SO GLOBEC study area during austral winter. The N.B.Palmer (NBP) arrived near the start of the large scale physical-biological survey on 27 July 2001 (YD 208) and left the area to survey the sea ice edge to the north on 26 August 2001 (YD 238). A full suite of meteorological data was collected during this 30-day period. This report provides a preliminary description of the meteorological data collected on NBP01 04 and some initial results concerning the surface forcing during winter. The estimation of primary production has three main objectives: (1) estimation of primary productivity rates during fall and winter in the area of study as a possible source of food for krill and other zooplanktors; (2) understanding the meso-scale patterns of phytoplankton distribution with respect to physical, chemical and biological processes; (3) obtaining insight into the over-wintering dynamics of phytoplankton, including their interaction with sea ice communities. For this purpose, primary production was measured with two methods during this cruise: Photosynthesis versus Irradiance (PI) curves to estimate potential primary production and information on the dynamics of light adaptation; and finally, profiles with a Fast Repetition Rate Fluorometer (FRRF), with the aim to increase resolution in the sampling of phytoplankton activity, and the expectation of modeling primary production with this method using 14C experiments as comparison. A third approach, that of estimating daily net production with simulated in situ (SIS) experiments, was seldom performed as low irradiance levels precluded any positive carbon uptake rates. Additionally, measurements of chlorophyll and particulate carbon (POC) were taken for estimates of phytoplankton biomass, and irradiance collected from surface and profiling Photosynthetically Available Radiation (PAR) sensors.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001114_Not Applicable", - "title": "Biodiversity of freshwater and estuarine communities in lower Pearl Harbor, Oahu, Hawaii with observations on introduced species: summary from fieldwork conducted in 1997 - 1998 (NCEI Accession 0001114)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-11-03", - "end_date": "1998-11-04", - "bbox": "-158.02, 21.33, -157.94, 21.39", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374966-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374966-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVyaW5nIHNlYSBpbm5lciBmcm9udCB6b29wbGFua3RvbiBkYXRhIHNldHMgY29sbGVjdGVkIHdpdGggY2FsdmV0IG5ldCBvbiBmb3VyIGNydWlzZXMgZnJvbSA2LzMvMTk5NyAtIDkvMS8xOTk4IChuY2VpIGFjY2Vzc2lvbiAwMDAwMTAzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDAxMDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3Mjc0MCwxXSIsInVtbSI6IltcImJlcmluZyBzZWEgaW5uZXIgZnJvbnQgem9vcGxhbmt0b24gZGF0YSBzZXRzIGNvbGxlY3RlZCB3aXRoIGNhbHZldCBuZXQgb24gZm91ciBjcnVpc2VzIGZyb20gNi8zLzE5OTcgLSA5LzEvMTk5OCAobmNlaSBhY2Nlc3Npb24gMDAwMDEwMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwMTAzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI3NDAsMV0ifQ%3D%3D/gov.noaa.nodc%3A0001114_Not%20Applicable", - "description": "The Pearl Harbor Biodiversity Project was funded by the Department of Defense Legacy Program, through the U. S. Navy. The project was performed in two phases. The purpose of the project was to document the history, cause, and extent of non-native species introductions in the freshwater streams and estuarine areas of Pearl Harbor. Phase I of the study was conducted from November 1995 through June 1997. Phase I involved investigations of the marine organisms of Pearl Harbor, with emphasis on detection of nonindigenous marine organisms that may have become established in the harbor over the past century. Fieldwork for the Phase II investigations commenced in November 1997 and ended in October 1998. Phase II studies investigated the estuarine and freshwater areas of the mouths of streams that enter the harbor's three main lochs. Data were taken at 16 stations. This dataset contains observations from Phase II (as an .mdb data base and as .csv and .xsl spreadsheets and .jpg images).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001155_Not Applicable", - "title": "Biological, physical, nutrients, sediment, and other data from sediment sampler-grab, bottle, and CTD casts in the Arabian Sea, Equatorial Pacific Ocean, Northeast Atlantic Ocean, and Southern Oceans as part of the Long Term Monitoring East-West Flower Garden Banks project from 08 January 1995 to 08 April 1998 (NCEI Accession 0001155)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-08", - "end_date": "1998-04-08", - "bbox": "-26.0615, -78.0498, -132.9752, 62.9483", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375072-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375072-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001155_Not%20Applicable", - "description": "Biological, physical, nutrients, sediment, and other data were collected using sediment sampler-grab, bottle and CTD casts in the Arabian Sea, North/South Pacific Ocean, and North Atlantic Ocean from 08 January 1995 to 08 April 1998. Data were submitted by Woods Hole Oceanographic Institution as part of the Long Term Monitoring East-West Flower Garden Banks project. Biological data include detailed information on phytoplankton and zooplankton. Nutrients data includes nitrate, nitrite, phosphate, and silicate. The U.S. Joint Global Ocean Flux Study (U.S. JGOFS), conceived in 1984 and organized as a major ocean research program shortly thereafter, has conducted field and modeling investigations of the global ocean carbon cycle and the processes that regulate it for a decade and a half. It has brought together biological, chemical, physical and geological oceanographers and modelers in a multidisciplinary investigation of the pools and fluxes of carbon and associated biogenic elements in the ocean. U.S. JGOFS is a component of the international Joint Global Ocean Flux Study (JGOFS), launched in 1987 under the aegis of the Scientific Committee on Oceanic Research (SCOR). Designated a core project of the International Geosphere-Biosphere Programme (IGBP) two years later, JGOFS has involved scientists from more than 30 countries in field and modeling studies. Its research program included national and international process studies conducted in many ocean basins, time-series programs and a global survey of carbon dioxide (CO2) in the ocean. The U.S. JGOFS research program comprised four basin-scale process studies, two long-term time-series programs, participation in a global survey of (CO2) and a synthesis and modeling project. This CD-ROM contains the data acquired during the four U.S. JGOFS process studies, conducted in the North Atlantic, the equatorial Pacific, the Arabian Sea and the Southern Ocean. Data from other components of U.S. JGOFS will be published in future volumes.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001280_Not Applicable", - "title": "Chlorophyll data from bottle from the R/V Alpha Helix Cruise No. 177 from May-June 1994 (NCEI Accession 0001280)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-05-08", - "end_date": "1994-06-08", - "bbox": "-179.2, 57, -166, 64", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375402-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375402-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001280_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001283_Not Applicable", - "title": "Chlorophyll bottle data from the R/V Alpha Helix Cruise No. 139 in the Bering Sea in June 1990 (NCEI Accession 0001283)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-06-11", - "end_date": "1990-06-19", - "bbox": "-170, 60, -168, 63", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375421-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375421-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001283_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001284_Not Applicable", - "title": "Chlorophyll data from bottle from the R/V Alpha Helix Cruise No. 224 in the Bering Sea in September 1999 (NCEI Accession 0001284)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-13", - "end_date": "1999-09-26", - "bbox": "-175, 62, -170, 63.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375433-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375433-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001284_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001329_Not Applicable", - "title": "Benthic Surveys for Ground Truthing of Coastal Benthic Mapping in the Main Eight Hawaiian Islands 2001 - 2002 (NCEI Accession 0001329)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-01-01", - "end_date": "2002-12-31", - "bbox": "-160.25, 18.91, -154.81, 22.22", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375652-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375652-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0001329_Not%20Applicable", - "description": "The National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) initiated a coral reef research program in 1999 to map, assess, inventory, and monitor U.S. coral reef ecosystems. These activities were implemented in response to requirements outlined in the Mapping Implementation Plan developed by the Mapping and Information Synthesis Working Group (MISWG) of the Coral Reef Task Force (CRTF). As part of the MISWG of the CRTF, NOS's Biogeography Team has been charged with the development and implementation of a plan to produce comprehensive digital coral-reef ecosystem maps for all U.S. States, Territories, and Commonwealths within five to seven years. Joint activities between Federal agencies are particularly important to map, research, monitor, manage, and restore coral reef ecosystems. In response to the Executive Order 13089, NOS is conducting research to digitally map biotic resources and coordinate a long-term monitoring program that can detect and predict change in U.S. coral reefs, and their associated habitats and biological communities. Most U.S. coral reef resources have not been digitally mapped at a scale or resolution sufficient for assessment, monitoring, and/or research to support resource management. Thus, a large portion of NOS' coral reef research activities have focused on mapping of U.S. coral reef ecosystems. The map products will provide the fundamental spatial organizing framework to implement and integrate research programs and provide the capability to effectively communicate information and results to coral reef ecosystem managers. Although the NOS coral program is relatively young, it has had tremendous success in advancing towards the goal to protect, conserve, and enhance the health of U.S. coral reef ecosystems. One objective of the program was to create benthic habitat maps to support coral reef research to enable development of products that support management needs and questions. Therefore this product was developed in collaboration with many Hawaiian partners, including Hawaii's Department of Land and Natural Resources, a leading coral reef management agency. An initial step in producing benthic habitat maps is the development of a habitat classification scheme. This dataset focuses on the in situ data used to ground truth the mapping efforts on the main Hawaiian Islands: Hawaii, Maui, Molokai, Lanai, Oahu, Kauai, and Niihau.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001334_Not Applicable", - "title": "Biological, chemical, and physical data from CTD/XCTD from five Japanese R/Vs in the North Pacific Ocean from January to December 2002 (NCEI Accession 0001334)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-01-01", - "end_date": "2002-12-31", - "bbox": "179, 0, 130, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375689-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375689-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0001334_Not%20Applicable", - "description": "Temperature profile, nutrients, and other data were collected using XCTD and CTD casts from KOFU MARU and other platforms in the North Pacific Ocean from 01 January 2002 to 31 December 2002. Data were collected and submitted by Japan Meteorological Agency (JMA).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001344_Not Applicable", - "title": "Chlorophyll and Plankton data from the Indian National Institute of Oceanography collected by bottle and CTD from 1951 to 1997 for the Indian Ocean and Arabian Sea areas (NCEI Accession 0001344)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1951-01-01", - "end_date": "1997-12-31", - "bbox": "160, -50, 30, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375772-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375772-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0001344_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001410_Not Applicable", - "title": "Bathymetric Survey of the West Florida Shelf, Gulf of Mexico 2001 (NCEI Accession 0001410)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-09-03", - "end_date": "2001-10-12", - "bbox": "-86.71, 28.04, -84.61, 30.06", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376038-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376038-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0001410_Not%20Applicable", - "description": "A zone of deep-water reefs is thought to extend from the mid and outer shelf south of Mississippi and Alabama to at least the northwestern Florida shelf off Panama City, Florida. Reefs off Mississippi and Alabama are found in water depths of 60 to 120 m (Ludwick and Walton, 1957, Gardner et al., in press) and were the focus of a multibeam echosounder mapping survey by the U.S. Geological Survey (USGS) in 2000 (Gardner et al., 2000, in press). It is critical to determine the accurate geomorphology and type of the reefs that occur because of their importance as benthic habitats for fisheries. These data are ArcInfo GRID and XYZ ASCII format data generated from a U.S. Geological Survey multibeam sonar survey of the West Florida Shelf, Gulf of Mexico. The data include high-resolution bathymetry and calibrated acoustic backscatter. File types include arc files .dat, .nit, and .adf. Documentation is included as metadata .txt files. Because the area is so large (i.e., the file sizes are very large), the area was subdivided into North, Central, and South regions as reflected in the data subdirectories for this accession.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001419_Not Applicable", - "title": "Assessment of Nonindigenous Species on Coral Reefs in the Hawaiian Islands, with Emphasis on Introduced Invertebrates, November 2, 2002 - November 5, 2003 (NCEI Accession 0001419)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-11-02", - "end_date": "2003-11-05", - "bbox": "-159.65, 19.5, -155.83, 21.96", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376077-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376077-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0001419_Not%20Applicable", - "description": "Coral reefs on the islands of Kauai, Molokai, Maui, Hawaii and Oahu were surveyed for the presence and impact of marine nonindigenous and cryptogenic species (NIS) using a rapid assessment method that standardized search effort for approximately 312 m2 at each site. A total of 41 sites were surveyed by three investigators for a total of approximately 120 hours search time on the five islands. Algae, invertebrate, and fish taxa were identified on site or returned to laboratory for identity confirmation. Only 26 NIS, comprised of three species of algae, 19 invertebrates, and four fishes were recorded from a total of 486 total taxa on the entire study, and 17 of the NIS occurred at only one or two sites. The most NIS that occurred at any site was six, and 21 of the sites had less than three. If the three species of fish that were introduced in the 1950s and known to occur throughout Hawaii are excluded, over half the sites had less than two NIS.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001624_Not Applicable", - "title": "Bottle and Pumpcast data collected by CTD casts from the R/V Knorr during cruises 2 through 5 of the 1988 Black Sea Oceanographic Expedition (NCEI Accession 0001624)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-05-14", - "end_date": "1988-07-29", - "bbox": "28, 41, 42, 46", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372426-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372426-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A0001624_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001746_Not Applicable", - "title": "ALINE time series (NCEI Accession 0001746)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-01-01", - "end_date": "2001-01-01", - "bbox": "141, 37, 150, 44", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372824-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372824-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0001746_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001756_Not Applicable", - "title": "Assessment of economic benefits and costs of marine managed areas in Hawaii, 1998 - 2003 (NCEI Accession 0001756)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-01-01", - "end_date": "2003-12-31", - "bbox": "-158.9, 18.8, -154.9, 22.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372862-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372862-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0001756_Not%20Applicable", - "description": "This dataset combines the research results from a number of papers carried out under the study \"Assessment of Economic Benefits and Costs of Marine Managed Areas in Hawaii\". The studies included a paper on the fisheries benefits of MMAs (Friedlander and Cesar, 2004), a write-up of the recreational survey at the MMA sites (Van Beukering and Cesar, 2004), a background on the institutional/regulatory framework on MMAs in Hawaii (Cesar, 2004), a paper on the economic value and cost-benefit analysis of management options for MMAs (Van Beukering and Cesar, 2004) and a paper on the international experience of sustainable financing of MMAs (Cesar and van Beukering, 2004). This dataset is basically a set of MS Word documents with mostly social-economic data embedded within tables. The habitat and fish data in this dataset are drawn from other datasets already in the NOAA archives, the NOAA Benthic Habitat Maps and the Coral Reef Assessment and Monitoring Program (CRAMP), respectively.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0001941_Not Applicable", - "title": "Aerial surveys of bowhead and beluga whales along with incidental sighting of other marine mammals in the Bering, Beaufort and Chukchi Seas for the Bowhead Whale Aerial Survey Project (BWASP), 1979 - 2004 (NCEI Accession 0001941)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-04-01", - "end_date": "2004-10-18", - "bbox": "-174.01, 57.72, -125.25, 76.14", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373265-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373265-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0001941_Not%20Applicable", - "description": "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October \"open-water\" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered \"on transect\", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as \"on search\".", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002013_Not Applicable", - "title": "A mesoscale hydrographic survey off Northwest Africa to examine the horizontal mixing by eddies, March - April 2003 (NCEI Accession 0002013)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2003-03-26", - "end_date": "2003-04-16", - "bbox": "-31.5, 6.6, -25, 11", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373546-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373546-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002013_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002170_Not Applicable", - "title": "22 Real-time XBT replacements assembled by Canada Department of Fisheries and Oceans (DFO) for the Global Temperature-Salinity Profile Program (GTSPP), dates ranging from 05/26/2004 to 05/27/2004 (NCEI Accession 0002170)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-05-27", - "end_date": "2004-05-27", - "bbox": "9.106, 31.684, 33.058, 44.043", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373990-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373990-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiMjAwMCBwaG90byBtb3NhaWNzIGFuZCBoeXBlcnNwZWN0cmFsIGltYWdlcnkgZm9yIHRoZSBtYWluIGVpZ2h0IGhhd2FpaWFuIGlzbGFuZHMgdXRpbGl6ZWQgdG8gbWFwIHNoYWxsb3cgd2F0ZXIgYmVudGhpYyBoYWJpdGF0c1wiLFwiTk9BQV9OQ0VJXCIsXCIzOTMzMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMTAyNjU2MzA5LDFdIiwidW1tIjoiW1wiMjAwMCBwaG90byBtb3NhaWNzIGFuZCBoeXBlcnNwZWN0cmFsIGltYWdlcnkgZm9yIHRoZSBtYWluIGVpZ2h0IGhhd2FpaWFuIGlzbGFuZHMgdXRpbGl6ZWQgdG8gbWFwIHNoYWxsb3cgd2F0ZXIgYmVudGhpYyBoYWJpdGF0c1wiLFwiTk9BQV9OQ0VJXCIsXCIzOTMzMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMTAyNjU2MzA5LDFdIn0%3D/gov.noaa.nodc%3A0002170_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002192_Not Applicable", - "title": "A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico from 1999 to 2002 (NCEI Accession 0002192)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-01", - "end_date": "2002-08-25", - "bbox": "-96.01, 23.49, -85.47, 29.38", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374092-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374092-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002192_Not%20Applicable", - "description": "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled \"The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology.\" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002193_Not Applicable", - "title": "A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002193)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-01", - "end_date": "2002-08-01", - "bbox": "-96, 23.47, -85.47, 29.33", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374098-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374098-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002193_Not%20Applicable", - "description": "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled \"The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology.\" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002196_Not Applicable", - "title": "Acoustic doppler current meter data collected in support of the Minerals Management Service-supported Deep Water Program in the the Gulf of Mexico, 1999 - 2003 (NCEI Accession 0002196)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-01", - "end_date": "2003-08-01", - "bbox": "-96, 23.47, -85.47, 29.33", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374197-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374197-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0002196_Not%20Applicable", - "description": "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled \"The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology.\" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002198_Not Applicable", - "title": "A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002198)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-01", - "end_date": "2002-08-01", - "bbox": "-96, 23.49, -85.47, 29.33", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374298-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374298-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002198_Not%20Applicable", - "description": "A research program has been initiated by the Minerals Management Service (Contract No.1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology. Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002199_Not Applicable", - "title": "Biological, chemical, and physical data from CTD/XCTD from five Japanese R/Vs in the North Pacific Ocean and other marginal basins from 1993 to 2003 (NCEI Accession 0002199)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-01-01", - "end_date": "2003-12-31", - "bbox": "179, 20, 130, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374415-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374415-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002199_Not%20Applicable", - "description": "The Japan Meteorological Agency (JMA) has been carrying out oceanographic and marine meteorological observations on board research vessels, at the coastal water temperature observation stations and by ocean data buoys, for the purposes of the better understanding of dynamical processes of the oceanic general circulation affecting climate change, prevention and mitigation of natural disasters, and contributing to international cooperative activities. This Data Report contains the data obtained from the observations made by JMA in 2003 together with the explanations. The observations include the followings: 1. Oceanographic and Marine Meteorological Observations on board Research Vessels Oceanographic observations are conducted in the seas adjacent to Japan and in the western North Pacific on board five vessels: Ryofu Maru, Keifu Maru, Kofu Maru, Chofu Maru and Seifu Maru. 2. Coastal Water Temperature Observations JMA has carried out water temperature observations at the coastal stations. Historical time series of 10 day and monthly mean temperatures, daily observations and hourly observations are available in this CD-ROM. 3. Ocean Data Buoy Observations Operational ocean data buoy observations have been made to obtain marine meteorological and oceanographic observations in the seas around Japan. Correspondence relating to this Data Report may be directed to: Marine Division Climate and Marine Department Japan Meteorological Agency 1-3-4 Otemachi, Chiyoda-ku, Tokyo, 100-8122 JAPAN Facsimile: +81-3-3211-6908 E-mail: seadata@hq.kishou.go.jp", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002270_Not Applicable", - "title": "Assessment of nonindigenous marine species in harbors and nearby coral reefs on Kauai, Molokai, Maui, and Hawaii, 2002 - 2003 (NCEI Accession 0002270)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-11-02", - "end_date": "2003-06-28", - "bbox": "-159.59, 19.73, -155.02, 21.96", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374772-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374772-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0002270_Not%20Applicable", - "description": "Collections and observations in 2002-2003 at harbor and nearby reef sites at Nawilwili and Port Allen, Kauai; Hale O Lono and Kaunakakai, Molokai; Kahului and Maalaea, Maui; and Kawaihae and Hilo, Hawaii recorded a total of 1039 taxa of marine algae, invertebrates, and fishes, 872 of which were identified to the species level. Of these 11 were new reports for Hawaii and 112 were identified as introduced or cryptogenic species (NIS), for an overall NIS component of 10.9% of the total taxa recorded. Contrasting patterns were found between the distributions of the total identified taxa and NIS, with greater numbers of total taxa occurring at reef stations and greater numbers of NIS occurring in harbors, where they composed up to 36% of the total identified taxa. Occurrence and abundance of NIS decreased systematically from maxima in highly used commercial harbors which are isolated from oceanic circulation to relatively exposed small boat harbors to fully exposed reef sites. Only a few NIS that frequently occurred at harbor sites also occurred at reef sites. These results concur with previous studies in Hawaii and the tropical Pacific that have indicated NIS to show maximum numbers in harbors and embayments with restricted oceanic circulation and few introduced or cryptogenic species to occur on coral reefs or other ocean exposed environments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002295_Not Applicable", - "title": "A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002295)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-09-01", - "end_date": "2002-08-20", - "bbox": "-92.01, 23.79, -85.49, 25.49", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374863-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374863-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002295_Not%20Applicable", - "description": "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology. Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002316_Not Applicable", - "title": "Biological and other data collected from bottle casts in the NW Atlantic Ocean from HERMANO GINES from 16 January 2002 to 18 May 2004 (NCEI Accession 0002316)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-01-16", - "end_date": "2004-05-18", - "bbox": "-64.66, 10.48, -64.65, 10.48", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374930-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374930-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0002316_Not%20Applicable", - "description": "Data collected in support of the CARIACO program, which is studying the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin on the continental shelf of Venezuela. Data were collected from 16 January 2002 to 18 May 2004.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002352_Not Applicable", - "title": "ARGO profiling float temperature, salinity, and oxygen data measurements collected using profiling floats in the World Ocean from 1996 to 2005 (NCEI Accession 0002352)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-01-05", - "end_date": "2005-08-10", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375016-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375016-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0002352_Not%20Applicable", - "description": "The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about ARGO, see http://www.argo.ucsd.edu (last accessed December 2003)). Argo data archived by the USNODC on a weekly basis starting the second quarter of FY 2003, may include real-time and/or delayed mode profiles of ocean temperature and salinity, as well as related conductivity and/or pressure measurements (if any), collected by Argo profiling floats.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002449_Not Applicable", - "title": "Bottle data collected for chemical analysis along the coastal waters of Hawai'i as part of the Windward Community College Heeia Stream and Kaneohe Bay Water Quality Assessment Project from May 22, 2004 to March 19, 2005 (NCEI Accession 0002449)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-05-22", - "end_date": "2005-03-19", - "bbox": "-157.8164, 21.4175, -157.8078, 21.4483", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375205-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375205-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A0002449_Not%20Applicable", - "description": "Measurements of water quality parameters were taken by Windward Community College faculty and students at eight sites in the Heeia Stream and adjacent Kaneohe Bay waters from May 2004 through March 2005. Parameters include Combined Nitrogen, Photo Oxidized Nitrate, Photo Oxidized Nitrite, Total Nitrogen, and Total Phosphate. Data provided as MS Excel spreadsheets and redundant ASCII copies were made of each with same file name except for a CSV (Comma Separated Version) extension.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002602_Not Applicable", - "title": "Assessment of invasiveness of the Orange Keyhole Sponge, Mycale Armata, in Kaneohe Bay Oahu, Hawaii, based on surveys 2004-2005 (NCEI Accession 0002602)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-01-02", - "end_date": "2005-12-31", - "bbox": "-157.85, 21.41, -157.76, 21.51", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375498-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375498-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0002602_Not%20Applicable", - "description": "The Orange Keyhole Sponge, Mycale armata Thiele, was unknown in Hawaii prior to 1996. First reported in Pearl Harbor, it now occurs in virtually every commercial harbor in the main Hawaiian islands, where it can be a major component of the fouling community on harbor piers and jetties. It has been reported from a few coral reef locations near harbors, but in Kaneohe Bay it has become a major component of the benthic biota in the south bay in the last 5-10 years. A study was conducted in 2004-2005 to determine Mycale armata's distribution, abundance throughout the bay, its growth rates on permanent quadrats, and whether mechanical removal would be an effective management technique for its control. Results from 190 manta board surveys on 28 reefs and paired 25 m belt transects using photo quadrats on 19 reefs indicated that the sponge had maximal coverage in the south-central part of the bay, in the vicinity of Coconut Island.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002650_Not Applicable", - "title": "A survey of the marine biota of the island of Lanai, Hawaii, to determine the presence and impact of marine non-indigenous and cryptogenic species, February - March 2005 (NCEI Accession 0002650)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-02-28", - "end_date": "2005-03-04", - "bbox": "-157.05, 20.73, -156.88, 20.92", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375642-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375642-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0002650_Not%20Applicable", - "description": "A baseline survey of the marine biota of the island of Lanai was conducted in May 2005. This was first comprehensive study that has been made on this island for all components of its marine nearshore community. Samples and observations were taken at seven sites around the island, and all macroalgae, macroinvertebrates and fish species collected or observed were recorded. On-site observations without collections were made at two other sites. Identified species were designated as native, nonindigenous (introduced) or cryptogenic (neither demonstrably native nor introduced) according to criteria used for previous introduced species surveys in Hawaii. A total of 294 taxa were observed or identified from collected specimens, which included 16 introduced or cryptogenic species and three new reports for the Hawaiian Islands. The 16 introduced and cryptogenic species comprised 5.4% of the total identified taxa and included seven cnidarians, one polychaete, two pericards, one decapod, one bryozoan, two ascidians and three fish. By station, the introduced/cryptogenic component ranged 3 to 7 species and 3.8% to 6.8% of the total biota. The stations included two sites at or near Kaumalapau Harbor, Lanai's principal harbor for inter-island shipping. The percent component values are similar to those that have been determined on ocean-exposed reef areas elsewhere in the Hawaiian Islands but the harbor value is well below the values in other Hawaiian harbors that are more isolated from open ocean circulation than Kaumalapau Harbor. No invasive introduced algae and only two invasive introduced invertebrates were found on the surveys. These were a single colony of the octocoral Carijoa riisei in the vicinity of Cathedrals between Manele Bay and Harbor, and a single stomatopod Gonodactylaceous falcatus at the site closest to Manele Harbor.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0002805_Not Applicable", - "title": "Chlorophyll data collected from the old outfall site in the south sector of Kaneohe Bay, Oahu, Hawaii, February 2001 to May 2004 (NCEI Accession 0002805)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-02-07", - "end_date": "2004-05-26", - "bbox": "-157.77, 21.41, -157.77, 21.41", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376053-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376053-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0002805_Not%20Applicable", - "description": "Kaneohe Bay received increasing amounts of sewage from the 1950s through 1977. Most sewage was diverted from the bay in 1977 and early 1978. Data were collected beginning in September 1976 and continued until June 1979. The time series was re-established in June 1982 and continued to December 2005, when it was terminated. The sampling was at 1 m depth in the south sector of Kaneohe Bay, Oahu near the old outfall that ceased in 1977. Previous NODC Accessions 0000396 (1976-1979) and 0000422 (1982-1/2001) contained monthly averages of chlorophyll a, based on weekly to bi-weekly samples. This data set has the weekly to bi-weekly chlorophyll a, pheo, water temperature, secchi depth, and sample site depth. Additional data were taken from June 2004 - December 2005 and these will be available in a separate data set.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0013170_Not Applicable", - "title": "Chemical and biological data collected as part of the CArbon Retention In A Colored Ocean (CARIACO) program in the Cariaco Basin off the coast of Venezuela, January 17, 2005 - January 16, 2006 (NCEI Accession 0013170)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-01-17", - "end_date": "2006-01-16", - "bbox": "-65.56, 10.45, -64.65, 10.66", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372614-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372614-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0013170_Not%20Applicable", - "description": "Chemical and biological data were collected using bottle casts on the continental shelf of Venezuela from the HERMANO GINES from January 17, 2005 to January 16, 2006. Data were collected and submitted by Dr. Mary Scranton of Stony Brook University with support from the CArbon Retention In A Colored Ocean (CARIACO) program.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0014123_Not Applicable", - "title": "Chemical and physical profile data collected from CTD casts from 01 January 2003 to 01 October 2005 aboard the F. G. WALTON SMITH in the Straits of Florida (NCEI Accession 0014123)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2003-01-01", - "end_date": "2005-10-01", - "bbox": "-81.299667, 23.249833, -79.017833, 25.627167", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372909-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372909-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0014123_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0014906_Not Applicable", - "title": "Aerial sightings of bowhead whales and other marine mammals by the US Department of the Interior's Minerals Management Service, 1979 - 2006, in the Bering, Chukchi and Beaufort Seas (NCEI Accession 0014906)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-04-01", - "end_date": "2006-10-31", - "bbox": "-174.01, 57.72, -125.25, 76.14", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373613-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373613-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0014906_Not%20Applicable", - "description": "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October \"open-water\" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered \"on transect\", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as \"on search\".", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0033380_Not Applicable", - "title": "Assessment of invasiveness of the Orange Keyhole Sponge Mycale Armata in Kaneohe Bay, Oahu, Hawaii, based on surveys in 2005 - 2006, Year 2 of Hawaii Coral Reef Initiative (NCEI Accession 0033380)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-01-02", - "end_date": "2006-03-31", - "bbox": "-157.85, 21.41, -157.76, 21.51", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374745-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374745-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0033380_Not%20Applicable", - "description": "The purpose of this study was to determine Mycale armata's distribution, abundance throughout the bay, its growth rates on permanent quadrats, and whether mechanical removal would be an effective management technique for its control. The study utilized both quadrat surveys and manta tow boards for data collection. Data files are in Excel, PDF, MS Word, and JPEG image formats.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0038513_Not Applicable", - "title": "Chemical and biological data collected as part of the CArbon Retention In A Colored Ocean (CARIACO) program in the Cariaco Basin off the coast of Venezuela, May 23, 2005 - November 11, 2006 (NCEI Accession 0038513)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-05-23", - "end_date": "2006-11-11", - "bbox": "-65.58727, 10.49568, -64.5845, 10.71638", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375332-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375332-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0038513_Not%20Applicable", - "description": "Chemical and biological data were collected using bottle casts on the continental shelf of Venezuela from the HERMANO GINES from May 23, 2005 to November 11, 2006. Data were collected and submitted by Dr. Mary Scranton of Stony Brook University with support from the CArbon Retention In A Colored Ocean (CARIACO) program.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0040205_Not Applicable", - "title": "Carbon dioxide from surface underway survey in global oceans from 1968 to 2006 (Version 1.0) (NCEI Accession 0040205)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1966-01-01", - "end_date": "2006-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375975-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375975-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0040205_Not%20Applicable", - "description": "More than 3 million measurements of surface water partial pressure of CO2 obtained over the global oceans during 1968 to 2006 are listed in the Lamont-Doherty Earth Observatory database, which includes open ocean and coastal water measurements. The data assembled include only those measured by equilibrator CO2 analyzer systems and have been quality-controlled based on the stability of the system performance, the reliability of calibrations for CO2 analysis, and the internal consistency of data. Versions up to 2007 are included in this dataset", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0043167_Not Applicable", - "title": "Aurora 1993 XBT's temperature measurements collected using XBT from Aurora Australis in the Tasman Sea during 1993 (NCEI Accession 0043167)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-01-05", - "end_date": "1993-10-08", - "bbox": "61.52, -68.93, 159, -42.83", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372431-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372431-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0043167_Not%20Applicable", - "description": "Temperature data received at NODC on April 14, 2008 by Tim Boyer placed on the FTP server by Ann Thresher, CSIRO (COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANIZATION) for XBT/CTD comparisons", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0045502_Not Applicable", - "title": "Carbon dioxide, temperature, salinity, and atmospheric pressure from surface underway survey in the North Pacific from January 1998 to January 2004 (NCEI Accession 0045502)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-01-01", - "end_date": "2004-01-01", - "bbox": "-100, -10, 120, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372737-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372737-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2FyYm9uIGRpb3hpZGUsIGh5ZHJvZ3JhcGhpYywgYW5kIGNoZW1pY2FsIGRpc2NyZXRlIHByb2ZpbGUgZGF0YSBvYnRhaW5lZCBkdXJpbmcgdGhlIHIvdiBuLmIuIHBhbG1lciBjcnVpc2UgaW4gdGhlIHNvdXRoIHBhY2lmaWMgb2NlYW4gb24gZ28tc2hpcC9jbGl2YXIvc29jY29tIHJlcGVhdCBoeWRyb2dyYXBoeSBzZWN0aW9ucyBwMDZ3IChleHBvY29kZSAzMjA2MjAxNzA3MDMpIGFuZCBwMDZlIChleHBvY29kZSAzMjA2MjAxNzA4MjApIGZyb20gMjAxNy0wNy0wMyB0byAyMDE3LTA5LTMwIChuY2VpIGFjY2Vzc2lvbiAwMTc1NzQ0KVwiLFwiTk9BQV9OQ0VJXCIsXCIxMC4yNTkyMS8zYm1mLXhjMTZcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4MDY3NCwxXSIsInVtbSI6IltcImNhcmJvbiBkaW94aWRlLCBoeWRyb2dyYXBoaWMsIGFuZCBjaGVtaWNhbCBkaXNjcmV0ZSBwcm9maWxlIGRhdGEgb2J0YWluZWQgZHVyaW5nIHRoZSByL3Ygbi5iLiBwYWxtZXIgY3J1aXNlIGluIHRoZSBzb3V0aCBwYWNpZmljIG9jZWFuIG9uIGdvLXNoaXAvY2xpdmFyL3NvY2NvbSByZXBlYXQgaHlkcm9ncmFwaHkgc2VjdGlvbnMgcDA2dyAoZXhwb2NvZGUgMzIwNjIwMTcwNzAzKSBhbmQgcDA2ZSAoZXhwb2NvZGUgMzIwNjIwMTcwODIwKSBmcm9tIDIwMTctMDctMDMgdG8gMjAxNy0wOS0zMCAobmNlaSBhY2Nlc3Npb24gMDE3NTc0NClcIixcIk5PQUFfTkNFSVwiLFwiMTAuMjU5MjEvM2JtZi14YzE2XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODA2NzQsMV0ifQ%3D%3D/gov.noaa.nodc%3A0045502_Not%20Applicable", - "description": "Sea surface pCO2, sea surface temperature, sea surface salinity, and atmospheric pressure measurements collected in the North Pacific as part of the NOAA Office of Climate Observations (OCO) and U.S. Carbon Cycle Science Programs.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0045505_Not Applicable", - "title": "AOML VOS pCO2. temperature, salinity, and other underway measurements collected using in the Pacific and Atlantic from 2007 to 2008 (NCEI Accession 0045505)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-04-06", - "end_date": "2008-01-15", - "bbox": "-90, -40, -20, 20", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372759-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372759-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0045505_Not%20Applicable", - "description": "AOML pCO2 underway measurements collected using in the Pacific and Atlantic from 2007 to 2008", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0046934_Not Applicable", - "title": "Acropora Spatial Survey Data of the Upper Florida Keys National Marine Sanctuary, 2005 - 2007 (NCEI Accession 0046934)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-01-01", - "end_date": "2007-12-31", - "bbox": "-81.41079, 24.54466, -80.19632, 25.29129", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373092-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373092-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0046934_Not%20Applicable", - "description": "These data were collected by the NOAA Southeast Fisheries Science Center to document the presence or absence of Acropora spp at shallow reef sites in the Upper Florida Keys (USA). The presence or absence of acroporid corals was marked by handheld GPS during snorkel or tow surveys of shallow water (<5m) reef habitats in the Upper Florida Keys National Marine Sanctuary. The data are in GIS shape and layer files with associated attribute files, metadata files, and additional .pdf file outputs of the GIS data layers.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0049902_Not Applicable", - "title": "Biological dataset collected from bottle casts from the R/V LAURENCE M. GOULD and the R/V NATHANIEL B. PALMER in the Southern Drake Passage and Scotia Sea in support of National Science Foundation projects OPP 03-30443 and ANT 04-44134 from 15 February 2004 to 09 August 2006 (NCEI Accession 0049902)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-02-15", - "end_date": "2006-08-09", - "bbox": "-64.9884, -64.675, -52.8742, -54.8127", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373417-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373417-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0049902_Not%20Applicable", - "description": "Ocean biology data were collected in Southern Drake Passage and Scotia Sea during two research cruises supported by NSF awards. These two cruises, namely LMG0402 and NBP0606, were conducted during Februay to March 2004 and July to August 2006, respectively. Dataset includes concentration of pigments in phytoplankton, particulate organic matter concentration, macronutrients, primary productivity and microbial biomass and productivity.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0051848_Not Applicable", - "title": "Biomass measurements collected in the Pacific Ocean using a net from various platform from 1950 - 1961 (NCEI Accession 0051848)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1950-05-14", - "end_date": "1961-07-29", - "bbox": "-170, 0, -135, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373644-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373644-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0051848_Not%20Applicable", - "description": "Zooplankton biomass data collected from Pacific Ocean in 1950 - 1961 years received from NMFS", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0053277_Not Applicable", - "title": "Biomass measurements collected using net in the North and South Atlantic from several platforms from 1950 to 989 (NCEI Accession 0053277)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1950-01-01", - "end_date": "1989-12-31", - "bbox": "-86.367, -42.78, 14.175, 53.683", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373850-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373850-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0053277_Not%20Applicable", - "description": "Zooplankton biomass data collected by Institute of Biology of the Southern Seas from the Atlantic Ocean in 1950-1989 years and received from the NMFS.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0057319_Not Applicable", - "title": "Arctic Freshwater Switchyard Project: Spring temperature and Salinity data collected by aircraft in the Arctic Ocean, May 2006 - May 2007 (NCEI Accession 0057319)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2003-05-06", - "end_date": "2008-05-07", - "bbox": "15, 83, -20, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374588-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374588-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0057319_Not%20Applicable", - "description": "A program to study freshwater circulation (sea ice + upper ocean) in the \"freshwater switchyard\" between Alert (Ellesmere Island) and the North Pole. The project uses aircraft to take hydrographic stations on sections across the continental slope northwest of Alert.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0058268_Not Applicable", - "title": "Beaufort Gyre hydrographic data: Temperature, salinity and transmissivity data from the Louis S St. Laurent in the Arctic Ocean, 2003 - 2008 (NCEI Accession 0058268)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2003-10-11", - "end_date": "2008-10-20", - "bbox": "-150, 75, -140, 78", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374751-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374751-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0058268_Not%20Applicable", - "description": "The major goal of the observational program is to determine the variability of different components of the Beaufort Gyre fresh water (ocean and sea ice) system and to assess the partial concentrations of fresh water of different origin (rivers, Pacific Ocean, precipitation, ice/snow melt, etc). Using moorings, drifting buoys, shipboard, and remote sensing measurements we have been measuring time series of temperature, salinity, currents, geochemical tracers, sea ice draft, and sea level since August 2003, to determine freshwater content and freshwater fluxes in the Beaufort Gyre during a complete seasonal cycle and beyond.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0058858_Not Applicable", - "title": "Abundance data for the copepod species Calanus pacificus and Metridia pacifica collected at a fixed station in Dabob Bay, Hood Canal, Puget Sound, Washington during six cruises aboard the CLIFFORD A. BARNES, October 2006 - April 2008 (NCEI Accession 0058858)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2006-10-12", - "end_date": "2008-04-15", - "bbox": "-122.835, 47.769, -122.835, 47.769", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374860-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374860-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0058858_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0061208_Not Applicable", - "title": "Algal, coral, and other data collected by ROV and scuba diver videography from M.V. FLING and M.V. SPREE for Post-Hurricane Assessment of Sensitive Habitats of the Flower Garden Banks Vicinity project from November 13, 2005 to June 23, 2007 (NCEI Accession 0061208)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-11-13", - "end_date": "2007-05-23", - "bbox": "-93.58, 27.85, -92.45, 28.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375074-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375074-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0061208_Not%20Applicable", - "description": "The most active hurricane season on record in the Atlantic and Gulf of Mexico occurred in 2005, fueled by higher than normal sea-surface temperatures. Eleven tropical cyclones entered the Gulf of Mexico in 2005, including Hurricane Rita. Hurricane Rita was a Category 3 storm when it passed near the shelf edge banks on September 23, 2005. Several sensitive habitats within the northwestern Gulf of Mexico were close to the path of Hurricane Rita, including Sonnier, McGrail, Geyer, Bright, and East Flower Garden Banks. Hindcast hydrodynamic models estimated wave heights at 20-m or higher on these banks. This may have left some bank caps exposed, even at ~20- to 30-m depths. The implications for catastrophic damage to benthic community structure prompted the Minerals Management Service to characterize the banks in their post-hurricane state. This study, using the data in NODC Accession 0061208, characterized and compared the benthic habitats of four banks (Sonnier, McGrail, Geyer, and Bright) and recorded possible hurricane damage at these banks and the East Flower Garden Bank (EFGB). At Sonnier, McGrail, Geyer, and Bright Banks, videographic records were collected by SCUBA and ROV in April and May 2007, at four depth ranges to assess benthic cover to the lowest possible taxonomic level: 22-27 m, 30-36.5 m, 45-50 m, and 55-60 m. Video transects were qualitatively assessed for evidence of hurricane damage. To document recovery from Hurricane Rita at the existing long-term monitoring site on the EFGB, repetitive quadrats and perimeter line surveys were conducted in November 2005 and compared to data collected subsequently in June 2006.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0066319_Not Applicable", - "title": "Benthic data for corals, macroalgae, invertebrates, and non-living bottom types from Fagatele Bay, Pago Pago, and Fagasa, American Samoa, 2004-2008 (NCEI Accession 0066319)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-01-01", - "end_date": "2008-08-01", - "bbox": "-170.76892, -14.37023, -170.63047, -14.27847", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376136-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376136-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0066319_Not%20Applicable", - "description": "This data set was derived from surveys in Fagatele Bay National Marine Sanctuary, Pago Pago (Rainmaker and Aua), and Fagasa (Sita Bay and Cape Larsen) conducted in 2004 and 2007-2008. Parameters include coral, algal, or invertebrate species, coral colony diameter size, and non-living bottom type. Summaries of species identification from sites above and Ofu-Olosega Islands, Ta'u Island, Aunu'u, Manu'a, and Rose Atoll, based on historic surveys back to 1917 are also given in spreadsheets. This is a working list put together by Dr. Charles Birkeland. Fish data were collected by Dr. Alison Green on the same dates and transects and are available in a separate NODC accession.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068364_Not Applicable", - "title": "Benthic data for corals, macroalgae, invertebrates, and non-living bottom types from Fagatele Bay National Marine Sanctuary, South Pacific Ocean, 2007-04-02 to 2008-12-31 (NCEI Accession 0068364)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-04-02", - "end_date": "2008-12-31", - "bbox": "-170.814, -14.3654, -170.562, -14.1271", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372324-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372324-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0068364_Not%20Applicable", - "description": "Benthic transects were repeated at 12 sites around Tutuila at various depths on the reef slopes and flats. Benthic coverage categories include coral species, invertebrates, and non-living substrate type. Annual surveys took place during 2005-2009. The most detailed data are from 2008. The data were provided as spreadsheets and metadata within a PDF document, focusing on the 2008 surveys. A related data set was can be found in NCEI Accession 0066319, which was derived from surveys in Fagatele Bay National Marine Sanctuary, Pago Pago (Rainmaker and Aua), and Fagasa (Sita Bay and Cape Larsen) conducted in 2004 and 2007-2008. Parameters include coral, algal, or invertebrate species, coral colony diameter size, and non-living bottom type. Also in 0066319 are summaries of species identification from sites above and Ofu-Olosega Islands, Ta'u Island, Aunu'u, Manu'a, and Rose Atoll, based on historic surveys back to 1917 are also given in spreadsheets. This is a working list put together by Dr. Charles Birkeland.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068586_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068586)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-10", - "end_date": "2010-07-14", - "bbox": "-83.153333, 24.251833, -79.812, 26.011833", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372374-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372374-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0068586_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068586)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068595_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-16 to 2010-07-22 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068595)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-16", - "end_date": "2010-07-22", - "bbox": "-84.7585, 24.4415, -83.131833, 27.727333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372386-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372386-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0068595_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-16 to 2010-07-22 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068595)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068596_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-24 to 2010-08-02 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068596)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-24", - "end_date": "2010-08-02", - "bbox": "-85.805667, 28.198, -84.298333, 29.269333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372397-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372397-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0068596_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-24 to 2010-08-02 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068596)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068597_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-08-04 to 2010-08-08 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068597)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-04", - "end_date": "2010-08-08", - "bbox": "-84.752833, 24.2405, -79.8815, 26.332167", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372405-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372405-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0068597_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-08-04 to 2010-08-08 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068597)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068667_Not Applicable", - "title": "Chemical and isotopic tracers and other data from the Arctic Ocean from 1990-01-01 to 1999-12-31 (NCEI Accession 0068667)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-01-01", - "end_date": "1999-12-31", - "bbox": "175.508, 53.117, 159.24, 72.749", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372424-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372424-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0068667_Not%20Applicable", - "description": "These data are water column and sediment data largely collected in the Bering and Chukchi Seas, with some coverage for the Beaufort and East Siberian Seas, and with limited coverage for other portions of the Arctic Ocean. Data include that collected on Alpha Helix cruises 139, 165, 166, 174,189, 190, 214, and 224 between 1990 and 1999. Other data were obtained from cruises of the RV OKEAN (1993), USCGC Polar Star (1993), Mendeleev(1993), USCGC Polar Sea (2000), U.S. Canada Arctic Ocean Section(1994), and Polarstern (1993). Water column data include coverage from some to most stations on these cruises, and include bottle salinity, temperature, sigma-t, oxygen-18/16 ratios, phosphate, ammonia, silicate, nitrate, dissolved oxygen, iodine-129 concentrations, and chlorophyll a. Sediment data include plutonium and neptunium concentrations, including isotope data. Biological data include radionuclide burdens in marine mammal tissues donated by subsistence hunters on the North Slope of Alaska and in the Resolute region of Canada.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068954_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0068954)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-13", - "end_date": "2010-08-22", - "bbox": "-89.474, 24.52, -81.79, 31.99", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372490-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372490-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0068954_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0068954)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0068955_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the Arctic in the Gulf of Mexico from 2010-09-09 to 2010-09-14 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068955)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-09", - "end_date": "2010-09-14", - "bbox": "-90.978, 26.375167, -87.937333, 28.952667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372502-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372502-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0068955_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the Arctic in the Gulf of Mexico from 2010-09-09 to 2010-09-14 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include temperature, dissolved oxygen, sound velocity, hydrostatic pressure, conductivity, water density, salinity and CDOM fluorescence. The instruments used to collect these data were oxygen meter, CTD and fluorometer. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068955)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069044_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-18 to 2010-05-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069044)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-18", - "end_date": "2010-05-22", - "bbox": "-90.21514, 28.644125, -88.3511, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372565-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372565-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069044_Not%20Applicable", - "description": "Chemical, physical, profile, laboratory analysis, tows and underway oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-18 to 2010-05-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature, turbidity and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069044)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069045_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-23 to 2010-05-25 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069045)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-23", - "end_date": "2010-05-25", - "bbox": "-90.21514, 28.716, -88.375, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372576-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372576-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069045_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-23 to 2010-05-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069045)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069046_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-30 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069046)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-30", - "end_date": "2010-06-02", - "bbox": "-90.21514, 28.635, -88.368, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372591-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372591-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069046_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-30 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069046)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069047_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-04 to 2010-06-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069047)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-04", - "end_date": "2010-06-08", - "bbox": "-90.21514, 28.644, -88.327, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372619-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372619-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069047_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-04 to 2010-06-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069047)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069048_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-10 to 2010-06-14 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069048)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-10", - "end_date": "2010-06-14", - "bbox": "-90.21514, 28.721, -88.375, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372632-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372632-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069048_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-10 to 2010-06-14 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069048)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069049_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-16 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069049)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-16", - "end_date": "2010-06-20", - "bbox": "-90.3, 28.69651, -88.28, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372642-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372642-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069049_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-16 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069049)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069050_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-22 to 2010-06-26 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069050)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-22", - "end_date": "2010-06-26", - "bbox": "-90.3, 28.632025, -88.35, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372654-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372654-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069050_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-22 to 2010-06-26 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069050)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069051_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-04 to 2010-07-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069051)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-04", - "end_date": "2010-07-08", - "bbox": "-90.3, 28.7, -88.336973, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372667-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372667-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069051_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-04 to 2010-07-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069051)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069052_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069052)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-10", - "end_date": "2010-07-14", - "bbox": "-90.3, 28.69, -88.3, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372678-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372678-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069052_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069052)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069053_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-16 to 2010-07-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069053)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-16", - "end_date": "2010-07-20", - "bbox": "-90.3, 28.4, -88.1, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372689-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372689-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069053_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-16 to 2010-07-20 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069053)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069054_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-28 to 2010-08-01 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069054)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-28", - "end_date": "2010-08-01", - "bbox": "-90.3, 27.975, -88.2, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372705-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372705-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069054_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-28 to 2010-08-01 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069054)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069055_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-03 to 2010-08-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069055)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-03", - "end_date": "2010-08-07", - "bbox": "-90.3, 27.974, -88.5, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372721-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372721-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069055_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-03 to 2010-08-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069055)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069056_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-09 to 2010-08-12 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069056)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-09", - "end_date": "2010-08-12", - "bbox": "-90.3, 27.6, -88.5, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372731-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372731-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069056_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-09 to 2010-08-12 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069056)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069057_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-15 to 2010-08-19 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069057)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-15", - "end_date": "2010-08-19", - "bbox": "-90.3, 27.2, -88.5, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372741-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372741-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069057_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-15 to 2010-08-19 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069057)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069058_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-08-21 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069058)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-21", - "end_date": "2010-09-02", - "bbox": "-90.67267, 26.17233, -86.34483, 28.820167", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372753-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372753-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069058_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-08-21 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069058)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069059_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-09-04 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069059)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-04", - "end_date": "2010-09-15", - "bbox": "-91.5917, 27.005667, -87.503, 29.396333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372762-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372762-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069059_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-09-04 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069059)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069060_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-15 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069060)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-15", - "end_date": "2010-07-23", - "bbox": "-91.861908, 28.542, -88.1, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372775-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372775-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069060_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-15 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069060)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069061_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-25 to 2010-07-30 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069061)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-25", - "end_date": "2010-07-30", - "bbox": "-90.2, 28.549, -88.09, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372789-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372789-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069061_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-25 to 2010-07-30 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069061)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069062_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-30 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069062)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-30", - "end_date": "2010-08-03", - "bbox": "-90.2, 28.3, -88, 30.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372808-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372808-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsLCBwcm9maWxlIGFuZCBsYWJvcmF0b3J5IGFuYWx5c2lzIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSBicm9va3MgbWNjYWxsIGluIHRoZSBndWxmIG9mIG1leGljbyBmcm9tIDIwMTAtMDUtMjMgdG8gMjAxMC0wNS0yNSBpbiByZXNwb25zZSB0byB0aGUgZGVlcHdhdGVyIGhvcml6b24gb2lsIHNwaWxsIGV2ZW50IChuY2VpIGFjY2Vzc2lvbiAwMDY5MDQ1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwNjkwNDVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjU3NiwxXSIsInVtbSI6IltcImNoZW1pY2FsLCBwaHlzaWNhbCwgcHJvZmlsZSBhbmQgbGFib3JhdG9yeSBhbmFseXNpcyBvY2Vhbm9ncmFwaGljIGRhdGEgY29sbGVjdGVkIGFib2FyZCB0aGUgYnJvb2tzIG1jY2FsbCBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAyMDEwLTA1LTIzIHRvIDIwMTAtMDUtMjUgaW4gcmVzcG9uc2UgdG8gdGhlIGRlZXB3YXRlciBob3Jpem9uIG9pbCBzcGlsbCBldmVudCAobmNlaSBhY2Nlc3Npb24gMDA2OTA0NSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDY5MDQ1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI1NzYsMV0ifQ%3D%3D/gov.noaa.nodc%3A0069062_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-30 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069062)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069063_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-03 to 2010-08-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069063)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-03", - "end_date": "2010-08-11", - "bbox": "-90.2, 27.639, -88.376, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372819-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372819-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069063_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-03 to 2010-08-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069063)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069064_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-13 to 2010-08-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069064)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-13", - "end_date": "2010-08-17", - "bbox": "-90.2, 27.395, -88.79, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372830-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372830-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069064_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-13 to 2010-08-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069064)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069065_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069065)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-08-23", - "bbox": "-91.007, 26.994, -89.476, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372837-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372837-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069065_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069065)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069066_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-07 to 2010-08-27 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069066)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-07", - "end_date": "2010-08-27", - "bbox": "-90.2, 26.4, -88.363, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372849-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372849-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069066_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-07 to 2010-08-27 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069066)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069067_Not Applicable", - "title": "Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-05-27 to 2010-06-04 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069067)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-27", - "end_date": "2010-06-04", - "bbox": "-88.8825, 28.4, -87.6679, 30.3428", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372865-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372865-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069067_Not%20Applicable", - "description": "Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-05-27 to 2010-06-04 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, bathythermograph - XBT, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069067)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069068_Not Applicable", - "title": "Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-01 to 2010-07-06 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069068)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-01", - "end_date": "2010-07-06", - "bbox": "-91.928, 27.0001, -88.0059, 30.368", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372879-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372879-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069068_Not%20Applicable", - "description": "Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-01 to 2010-07-06 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069068)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069069_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the HOS Davis in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069069)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-13", - "end_date": "2010-08-22", - "bbox": "-90.671025, 27.437785, -88.800574, 28.204308", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372890-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372890-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwgYW5kIHBoeXNpY2FsIG9jZWFub2dyYXBoaWMgcHJvZmlsZSBkYXRhIGNvbGxlY3RlZCBmcm9tIGN0ZCBjYXN0cyBhYm9hcmQgdGhlIGFyY3RpYyBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAyMDEwLTA5LTA5IHRvIDIwMTAtMDktMTQgaW4gcmVzcG9uc2UgdG8gdGhlIGRlZXB3YXRlciBob3Jpem9uIG9pbCBzcGlsbCBldmVudCAobmNlaSBhY2Nlc3Npb24gMDA2ODk1NSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDY4OTU1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI1MDIsMV0iLCJ1bW0iOiJbXCJjaGVtaWNhbCBhbmQgcGh5c2ljYWwgb2NlYW5vZ3JhcGhpYyBwcm9maWxlIGRhdGEgY29sbGVjdGVkIGZyb20gY3RkIGNhc3RzIGFib2FyZCB0aGUgYXJjdGljIGluIHRoZSBndWxmIG9mIG1leGljbyBmcm9tIDIwMTAtMDktMDkgdG8gMjAxMC0wOS0xNCBpbiByZXNwb25zZSB0byB0aGUgZGVlcHdhdGVyIGhvcml6b24gb2lsIHNwaWxsIGV2ZW50IChuY2VpIGFjY2Vzc2lvbiAwMDY4OTU1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwNjg5NTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjUwMiwxXSJ9/gov.noaa.nodc%3A0069069_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the HOS Davis in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069069)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069070_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the HOS Davis in the Gulf of Mexico from 2010-08-26 to 2010-09-03 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069070)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-26", - "end_date": "2010-09-03", - "bbox": "-89.645667, 27.524833, -88.886, 27.979333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372900-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372900-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069070_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the HOS Davis in the Gulf of Mexico from 2010-08-26 to 2010-09-03 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069070)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069071_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the HOS Davis in the Gulf of Mexico from 2010-09-09 to 2010-09-27 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069071)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-09", - "end_date": "2010-09-27", - "bbox": "-90.650379, 26.472702, -88.46737, 28.851167", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372912-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372912-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwgYW5kIHBoeXNpY2FsIG9jZWFub2dyYXBoaWMgcHJvZmlsZSBkYXRhIGNvbGxlY3RlZCBmcm9tIGN0ZCBjYXN0cyBhYm9hcmQgdGhlIGFyY3RpYyBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAyMDEwLTA5LTA5IHRvIDIwMTAtMDktMTQgaW4gcmVzcG9uc2UgdG8gdGhlIGRlZXB3YXRlciBob3Jpem9uIG9pbCBzcGlsbCBldmVudCAobmNlaSBhY2Nlc3Npb24gMDA2ODk1NSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDY4OTU1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI1MDIsMV0iLCJ1bW0iOiJbXCJjaGVtaWNhbCBhbmQgcGh5c2ljYWwgb2NlYW5vZ3JhcGhpYyBwcm9maWxlIGRhdGEgY29sbGVjdGVkIGZyb20gY3RkIGNhc3RzIGFib2FyZCB0aGUgYXJjdGljIGluIHRoZSBndWxmIG9mIG1leGljbyBmcm9tIDIwMTAtMDktMDkgdG8gMjAxMC0wOS0xNCBpbiByZXNwb25zZSB0byB0aGUgZGVlcHdhdGVyIGhvcml6b24gb2lsIHNwaWxsIGV2ZW50IChuY2VpIGFjY2Vzc2lvbiAwMDY4OTU1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwNjg5NTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjUwMiwxXSJ9/gov.noaa.nodc%3A0069071_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the HOS Davis in the Gulf of Mexico from 2010-09-09 to 2010-09-27 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069071)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069072_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the JACK FITZ in the Gulf of Mexico from 2010-05-10 to 2010-05-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069072)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-10", - "end_date": "2010-05-13", - "bbox": "-88.346167, 28.726667, -88.023667, 29.0865", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372938-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372938-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069072_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-05-10 to 2010-05-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069072)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069073_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the JACK FITZ in the Gulf of Mexico from 2010-05-22 to 2010-05-31 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069073)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-22", - "end_date": "2010-05-31", - "bbox": "-88.4425, 28.708167, -88.357167, 28.8755", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372997-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372997-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069073_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-05-22 to 2010-05-31 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069073)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069074_Not Applicable", - "title": "Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the JACK FITZ in the Gulf of Mexico from 2010-06-12 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069074)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-12", - "end_date": "2010-06-20", - "bbox": "-88.917, 28.273167, -88.358167, 28.813167", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373016-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373016-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069074_Not%20Applicable", - "description": "Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-06-12 to 2010-06-20 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0069074)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069075_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the JACK FITZ in the Gulf of Mexico from 2010-09-04 to 2010-09-12 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069075)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-04", - "end_date": "2010-09-12", - "bbox": "-91.1825, 26.9375, -88.7, 28.2515", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373036-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373036-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069075_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-09-04 to 2010-09-12 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069075)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069076_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the Meg L. Skansi in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069076)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-04", - "end_date": "2010-09-13", - "bbox": "-89.442763, 27.765386, -88.211785, 28.810542", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373042-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373042-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069076_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the Meg L. Skansi in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069076)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069077_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico and North Atlantic Ocean from 2010-06-30 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069077)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-30", - "end_date": "2010-07-18", - "bbox": "-88.643, 23.098, -80.02, 30.34", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373054-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373054-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069077_Not%20Applicable", - "description": "Chemical, physical, profile, biological, laboratory analysis, meteorological, navigational, tows and underway oceanographic data were collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico and North Atlantic Ocean from 2010-06-30 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, plankton, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS), bathythermograph - XBT, bottle, fluorometer, oxygen meter and thermosalinographs along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069077)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069078_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the Rachel Bordelon in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069078)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-04", - "end_date": "2010-09-13", - "bbox": "-89.307814, 28.054497, -88.27382, 28.827148", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373063-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373063-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069078_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the Rachel Bordelon in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069078)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069079_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-15 to 2010-09-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069079)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-15", - "end_date": "2010-09-22", - "bbox": "-89, 28.843, -88, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373073-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373073-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069079_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-15 to 2010-09-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069079)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069080_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-23 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069080)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-23", - "end_date": "2010-09-28", - "bbox": "-89.95, 28.85, -88, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373083-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373083-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069080_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-23 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069080)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069081_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the Specialty Diver I in the Gulf of Mexico from 2010-09-10 to 2010-09-15 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069081)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-10", - "end_date": "2010-09-15", - "bbox": "-88.69502, 28.007332, -88.032456, 28.938103", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373097-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373097-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069081_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the Specialty Diver I in the Gulf of Mexico from 2010-09-10 to 2010-09-15 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069081)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069082_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-03 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069082)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-03", - "end_date": "2010-07-18", - "bbox": "-94.8, 27.1, -87.7, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373108-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373108-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069082_Not%20Applicable", - "description": "Chemical, physical, profile, tows and underway oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-03 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069082)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069083_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-15 to 2010-06-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069083)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-15", - "end_date": "2010-06-28", - "bbox": "-94.8, 27.657, -87.099, 30.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373119-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373119-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069083_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-15 to 2010-06-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069083)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069084_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-05-26 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069084)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-26", - "end_date": "2010-06-02", - "bbox": "-88.9, 28.3, -88.3, 28.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373130-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373130-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069084_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-05-26 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069084)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069085_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the Wes Bordelon in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069085)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-05", - "end_date": "2010-09-13", - "bbox": "-92.945292, 26.086672, -89.173627, 27.443796", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373141-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373141-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069085_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069085)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069086_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069086)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-08-22", - "bbox": "-90.088057, 26.502077, -89.807934, 27.649192", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373153-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373153-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069086_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069086)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069087_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the PELICAN in the Gulf of Mexico from 2010-05-10 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069087)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-10", - "end_date": "2010-07-21", - "bbox": "-90.6646, 28.537667, -88.1995, 29.2441", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373164-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373164-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069087_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the PELICAN in the Gulf of Mexico from 2010-05-10 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069087)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069088_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the American Diver in the Gulf of Mexico on 2010-08-04 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069088)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-04", - "end_date": "2010-08-04", - "bbox": "-89.03634, 28.36381, -88.74594, 28.3809", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373175-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373175-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069088_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the American Diver in the Gulf of Mexico on 2010-08-04 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069088)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069090_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069090)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-21", - "end_date": "2010-08-25", - "bbox": "-90.3, 27.5, -88, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373189-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373189-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069090_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069090)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069091_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-07-28 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069091)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-28", - "end_date": "2010-08-10", - "bbox": "-89.01, 24.52, -81.79, 31.99", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373199-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373199-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069091_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-07-28 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069091)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069092_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-05-26 to 2010-05-30 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069092)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-26", - "end_date": "2010-05-30", - "bbox": "-91.2, 28.6, -87.9, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373209-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373209-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069092_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-05-26 to 2010-05-30 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069092)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069093_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-01 to 2010-06-05 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069093)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-01", - "end_date": "2010-06-05", - "bbox": "-91.2, 28.6, -87.9, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373219-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373219-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069093_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-01 to 2010-06-05 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069093)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069094_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-07 to 2010-06-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069094)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-07", - "end_date": "2010-06-11", - "bbox": "-90.3, 28.6, -88.3, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373230-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373230-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069094_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-07 to 2010-06-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069094)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069095_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-13 to 2010-06-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069095)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-13", - "end_date": "2010-06-17", - "bbox": "-90.2, 28.7, -88.2, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373241-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373241-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069095_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-13 to 2010-06-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069095)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069096_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-19 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069096)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-19", - "end_date": "2010-06-23", - "bbox": "-90.2, 28.7, -88.2, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373251-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373251-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069096_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-19 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069096)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069097_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-25 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069097)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-25", - "end_date": "2010-06-29", - "bbox": "-90.2, 28.6, -88.3, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373263-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373263-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069097_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-25 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069097)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069098_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-29 to 2010-07-05 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069098)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-29", - "end_date": "2010-07-05", - "bbox": "-90.2, 28.7, -88.3, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373276-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373276-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069098_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-29 to 2010-07-05 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069098)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069099_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-07 to 2010-07-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069099)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-07", - "end_date": "2010-07-11", - "bbox": "-90.2, 28.6, -88.3, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373289-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373289-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069099_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-07 to 2010-07-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069099)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069100_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-19 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069100)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-19", - "end_date": "2010-07-23", - "bbox": "-90.2, 28.4, -88.1, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373307-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373307-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069100_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-19 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069100)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069101_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069101)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-26", - "end_date": "2010-07-29", - "bbox": "-90.2, 28.3, -88.3, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373319-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373319-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069101_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069101)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069102_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-31 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069102)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-31", - "end_date": "2010-08-03", - "bbox": "-90.2, 28.1, -88.7, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373331-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373331-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069102_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-31 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069102)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069103_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-06 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069103)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-06", - "end_date": "2010-08-10", - "bbox": "-90.2, 27.9, -88.657, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373342-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373342-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069103_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-06 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069103)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069104_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-12 to 2010-08-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069104)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-12", - "end_date": "2010-08-16", - "bbox": "-90.2, 27.5, -88.9, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373356-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373356-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069104_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-12 to 2010-08-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069104)", + "bbox": "120, -70, 110, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313508-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313508-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_87_traverse3b_1", + "description": "A two-part (totaling 60 days including the break) traverse out of Casey across Law Dome, focussing on running an ice radar over a number of set grids at various locations. Has measurements of air pressure and temperature from the sitreps, but no radar data. Includes a copy of the travel notes. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069105_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069105)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-08-22", - "bbox": "-91.6, 26.8, -88.946, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373368-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373368-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069105_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069105)", + "id": "glacio_87_traverse4_1", + "title": "Glaciology 1987 \"Traverse 4\" (Law Dome, Wilkes Land) Records and Measurements", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1987-09-04", + "end_date": "1987-10-09", + "bbox": "120, -70, 110, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313509-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313509-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_87_traverse4_1", + "description": "A 36 day traverse out of Casey across Law Dome, took detailed gravity and borehole temperature readings at a number of sites on the dome. Includes a copy of the travel notes. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069106_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-25 to 2010-08-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069106)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-25", - "end_date": "2010-08-29", - "bbox": "-90.2, 27.1, -88, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373379-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373379-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069106_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-25 to 2010-08-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069106)", + "id": "glacio_87_traverse5_1", + "title": "Glaciology 1987 \"Traverse 5\" (Law Dome, Wilkes Land) Records and Measurements", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1987-11-04", + "end_date": "1988-02-07", + "bbox": "120, -70, 110, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313458-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214313458-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_87_traverse5_1", + "description": "A 96 day traverse out of Casey across Law Dome and Wilkes Land performed a number of measurements including air pressure, air temperature, borehole temperature, gravity and snow accumulation at snow cane markers. Includes a copy of the travel notes. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069107_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-30 to 2010-09-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069107)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-30", - "end_date": "2010-09-03", - "bbox": "-91.618, 26.798, -90.018, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373390-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373390-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069107_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-30 to 2010-09-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069107)", + "id": "glacio_data_report_1978_casey_1", + "title": "Glaciology Data Report, Casey 1978", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1978-01-01", + "end_date": "1978-12-31", + "bbox": "110, -74, 115, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308597-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308597-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1978_casey_1", + "description": "A report presenting the data collected during the 1978 ANARE Glaciology program at Casey, carried out as part of the IAGP. Measurements made include ice movement, barometric levelling, echo sounding, gravity, accumulation, trilateration resurvey, undulation study, strain grids, and surface and borehole sampling. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069108_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-03 to 2010-09-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069108)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-03", - "end_date": "2010-09-07", - "bbox": "-90.4, 27.102, -88.558, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373403-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373403-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069108_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-03 to 2010-09-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069108)", + "id": "glacio_data_report_1979_casey_1", + "title": "Glaciology Data Report, Casey 1979", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1979-01-01", + "end_date": "1979-12-31", + "bbox": "110, -69, 115, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308572-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308572-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1979_casey_1", + "description": "A report presenting the data collected during the 1979 ANARE Glaciology program at Casey, resulting from several inland traverses. Measurements recorded include ice velocity, ice thickness, height, strain, accumulation, snow samples and coring, and a magnetic survey. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069109_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-07 to 2010-10-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069109)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-07", - "end_date": "2010-10-16", - "bbox": "-90.825, 26.47, -88.565218, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373414-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373414-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069109_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-07 to 2010-10-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069109)", + "id": "glacio_data_report_1981_casey_1", + "title": "Glaciology Data Report, Casey 1981", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1981-01-01", + "end_date": "1981-12-31", + "bbox": "110, -69, 120, -66", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308598-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308598-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1981_casey_1", + "description": "A collection of the data from the 1981 Glaciology program at Casey, collected from several inland traverses. Measurements include accumulation and density, barometric profiling, ice movement, gravity, ice thickness and bedrock profiling, temperatures at 10m depth, surface density, and oxygen isotopes. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069110_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-11 to 2010-09-13 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069110)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-11", - "end_date": "2010-09-13", - "bbox": "-97.8, 18.2, -81, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373424-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373424-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069110_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-11 to 2010-09-13 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069110)", + "id": "glacio_data_report_1982_casey_1", + "title": "Glaciology Data Report, Casey 1982", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1982-01-01", + "end_date": "1982-12-31", + "bbox": "105.11719, -69.71811, 117.07031, -65.94647", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1278304362-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1278304362-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1982_casey_1", + "description": "A report presenting the data collected during the 1982 ANARE Glaciology program at Casey, resulting from several inland traverses. Measurements recorded include ice movement, barometric levelling, bedrock profiling, accumulation and gravity. Fieldwork locations were Casey, Law Dome and Wilkes Land. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069111_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship PISCES in the Gulf of Mexico from 2010-07-05 to 2010-08-14 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069111)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-05", - "end_date": "2010-08-14", - "bbox": "-89.6682, 25.8921, -87.6011, 30.3679", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373435-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373435-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069111_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship PISCES in the Gulf of Mexico from 2010-07-05 to 2010-08-14 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069111)", + "id": "glacio_data_report_1983_casey_1", + "title": "Glaciology Data Report, Casey 1983", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1983-01-01", + "end_date": "1983-12-31", + "bbox": "110, -74, 115, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308599-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308599-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1983_casey_1", + "description": "A report presenting the data collected during the 1983 ANARE Glaciology program at Casey, resulting from five inland traverses. Measurements made include ice movement, barometric levelling, bedrock profiling, accumulation, gravity, magnetic, surface wind, 10m temperatures, stratigraphy measurements and isotope sampling, along with traverse notes. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069112_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-08-18 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069112)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-09-02", - "bbox": "-92.904, 26.223, -87.207, 30.3679", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373449-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373449-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwsIGN1cnJlbnQgbWV0ZXIsIGFuZCBvdGhlciBkYXRhIGZyb20gY3VycmVudCBtZXRlciwgYm90dGxlLCB4YnQsIGFuZCBjdGQgY2FzdHMgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGFzIHBhcnQgb2YgdGhlIG5vcnRoZWFzdGVybiBndWxmIG9mIG1leGljbyBwaHlzaWNhbCBvY2Vhbm9ncmFwaGljIHByb2dyYW06IGNoZW1pY2FsIG9jZWFub2dyYXBoeSBhbmQgaHlkcm9ncmFwaHkgc3R1ZHkgKG5lZ29tKSBwcm9qZWN0LCAxNiBub3ZlbWJlciAxOTk3IHRvIDA4IGF1Z3VzdCAyMDAwIChuY2VpIGFjY2Vzc2lvbiAwMDAwNzAzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDA3MDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjU1NSwxXSIsInVtbSI6IltcImNoZW1pY2FsLCBjdXJyZW50IG1ldGVyLCBhbmQgb3RoZXIgZGF0YSBmcm9tIGN1cnJlbnQgbWV0ZXIsIGJvdHRsZSwgeGJ0LCBhbmQgY3RkIGNhc3RzIGluIHRoZSBndWxmIG9mIG1leGljbyBhcyBwYXJ0IG9mIHRoZSBub3J0aGVhc3Rlcm4gZ3VsZiBvZiBtZXhpY28gcGh5c2ljYWwgb2NlYW5vZ3JhcGhpYyBwcm9ncmFtOiBjaGVtaWNhbCBvY2Vhbm9ncmFwaHkgYW5kIGh5ZHJvZ3JhcGh5IHN0dWR5IChuZWdvbSkgcHJvamVjdCwgMTYgbm92ZW1iZXIgMTk5NyB0byAwOCBhdWd1c3QgMjAwMCAobmNlaSBhY2Nlc3Npb24gMDAwMDcwMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwNzAzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI1NTUsMV0ifQ%3D%3D/gov.noaa.nodc%3A0069112_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-08-18 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069112)", + "id": "glacio_data_report_1986_casey_1", + "title": "Glaciology Data Report, Casey 1986", + "catalog": "AU_AADC STAC Catalog", + "state_date": "1986-01-01", + "end_date": "1986-12-01", + "bbox": "110, -69, 115, -65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308600-AU_AADC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214308600-AU_AADC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/AU_AADC/collections?cursor=eyJqc29uIjoiW1wiZ2xhY2llciBlbGV2YXRpb24vaWNlIHNoZWV0IGVsZXZhdGlvblwiLFwiQVVfQUFEQ1wiLFwiQUFTXzQwNzdfRUxFVlwiLFwiMVwiLDEzNjY4NjM4NDYsOF0iLCJ1bW0iOiJbXCJnbGFjaWVyIGVsZXZhdGlvbi9pY2Ugc2hlZXQgZWxldmF0aW9uXCIsXCJBVV9BQURDXCIsXCJBQVNfNDA3N19FTEVWXCIsXCIxXCIsMTM2Njg2Mzg0Niw4XSJ9/glacio_data_report_1986_casey_1", + "description": "A report of the data collected from the 1986 Glaciology program at Casey. Includes measurements of ice movement, accumulation, snow temperature, gravity, magnetic, weather data, surface density and hardness, and a summary of all known measurements along the A, B and Undulation Lines on Law Dome. These documents have been archived in the records store at the Australian Antarctic Division.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069113_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-09 to 2010-09-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069113)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-09", - "end_date": "2010-09-17", - "bbox": "-92.263, 26.354, -87.6852, 30.3678", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373460-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373460-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069113_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-09 to 2010-09-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069113)", + "id": "glide-snow-avalanche-activity-on-dorfberg-davos_1.0", + "title": "Glide-snow avalanche activity on Dorfberg, Davos, Switzerland", + "catalog": "ENVIDAT STAC Catalog", + "state_date": "2023-01-01", + "end_date": "2023-01-01", + "bbox": "9.8270988, 46.8077793, 9.8497581, 46.8265749", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082548-ENVIDAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082548-ENVIDAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/glide-snow-avalanche-activity-on-dorfberg-davos_1.0", + "description": "This dataset includes the processed data of the glide-snow avalanche activity and dynamics on Dorfberg (Davos, Switzerland) covering seasons 2008/09 to 2021/22. This dataset was described in the research article: Fees, A., van Herwijnen A., Altenbach, M., Lombardo, M., Schweizer, J.: Glide-snow avalanche characteristics at different time-scales extracted from time-lapse photography, Annals of Glaciology, 91 We extracted the dynamics of opening glide-cracks and the glide-snow avalanche activity from time-lapse photographs. Glide-snow avalanches were separated into surface and interface events using the liquid water content which was simulated with SNOWPACK at 10 virtual stations on Dorfberg.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069114_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-25 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069114)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-25", - "end_date": "2010-10-03", - "bbox": "-89.594, 28.065, -87.746, 30.367", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373471-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373471-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069114_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis, sediment analysis and underway oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-25 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature, turbidity and water density. The instruments used to collect these data included CTD, camera, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069114)", + "id": "glider_0", + "title": "Glider measurements near Tampa, FL", + "catalog": "OB_DAAC STAC Catalog", + "state_date": "2009-02-06", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360244-OB_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1633360244-OB_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/OB_DAAC/collections?cursor=eyJqc29uIjoiW1wiZW52aXNhdCBtZXJpcyByZWdpb25hbCBpbmxhbmQgd2F0ZXJzIChpbHcpIGRhdGEsIHZlcnNpb24gNFwiLFwiT0JfREFBQ1wiLFwiTUVSSVNfTDJfSUxXXCIsXCI0XCIsMjk1NDQyMzM1OSwzXSIsInVtbSI6IltcImVudmlzYXQgbWVyaXMgcmVnaW9uYWwgaW5sYW5kIHdhdGVycyAoaWx3KSBkYXRhLCB2ZXJzaW9uIDRcIixcIk9CX0RBQUNcIixcIk1FUklTX0wyX0lMV1wiLFwiNFwiLDI5NTQ0MjMzNTksM10ifQ%3D%3D/glider_0", + "description": "Measurements made near Tampa along the Florida Gulf Coast to calibrate and validate glider instrumentation between 2009 and 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069115_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-06-01 to 2010-06-06 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069115)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-01", - "end_date": "2010-06-06", - "bbox": "-88.7, 28.6, -88.3, 28.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373487-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373487-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069115_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-06-01 to 2010-06-06 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069115)", + "id": "glmcierra_1", + "title": "Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-01-12", + "end_date": "2023-03-31", + "bbox": "-180, -57.312, 180, 57.267", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3160666934-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3160666934-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/glmcierra_1", + "description": "The Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA) dataset consists of a hierarchy of earth-located lightning radiant energy measures including events, groups, series, flashes, and areas. The GLM CIERRA data addresses the artificial flash termination by the GLM ground system by recombining split flashes and filtering out more non-lightning noise. This provides researchers with a powerful tool to better investigate convective storm and lightning activity with more accurate observations as well as better incorporate spatial extent observations that can be used for aviation meteorology, lightning safety, and other studies. These data are available from January 12, 2017, through March 31, 2023, in netCDF-4 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069116_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-05-31 to 2010-06-02 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069116)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-31", - "end_date": "2010-06-02", - "bbox": "-89.72402, 28.19419, -88.33851, 29.14539", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373498-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373498-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069116_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-05-31 to 2010-06-02 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069116)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069117_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069117)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-05", - "end_date": "2010-09-13", - "bbox": "-92.476527, 26.472702, -88.799255, 27.979475", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373509-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373509-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0069117_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069117)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069118_Not Applicable", - "title": "Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069118)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-08-23", - "bbox": "-91.568847, 26.795853, -89.645927, 27.591288", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373520-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373520-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069118_Not%20Applicable", - "description": "Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0069118)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069119_Not Applicable", - "title": "Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the JACK FITZ in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069119)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-08-23", - "bbox": "-91.273333, 26.7365, -90.482167, 27.532667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373529-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373529-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069119_Not%20Applicable", - "description": "Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0069119)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069120_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-04 to 2010-09-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069120)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-04", - "end_date": "2010-09-08", - "bbox": "-90.5, 28, -88, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373537-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373537-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwsIGN1cnJlbnQgbWV0ZXIsIGFuZCBvdGhlciBkYXRhIGZyb20gY3VycmVudCBtZXRlciwgYm90dGxlLCB4YnQsIGFuZCBjdGQgY2FzdHMgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGFzIHBhcnQgb2YgdGhlIG5vcnRoZWFzdGVybiBndWxmIG9mIG1leGljbyBwaHlzaWNhbCBvY2Vhbm9ncmFwaGljIHByb2dyYW06IGNoZW1pY2FsIG9jZWFub2dyYXBoeSBhbmQgaHlkcm9ncmFwaHkgc3R1ZHkgKG5lZ29tKSBwcm9qZWN0LCAxNiBub3ZlbWJlciAxOTk3IHRvIDA4IGF1Z3VzdCAyMDAwIChuY2VpIGFjY2Vzc2lvbiAwMDAwNzAzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDA3MDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjU1NSwxXSIsInVtbSI6IltcImNoZW1pY2FsLCBjdXJyZW50IG1ldGVyLCBhbmQgb3RoZXIgZGF0YSBmcm9tIGN1cnJlbnQgbWV0ZXIsIGJvdHRsZSwgeGJ0LCBhbmQgY3RkIGNhc3RzIGluIHRoZSBndWxmIG9mIG1leGljbyBhcyBwYXJ0IG9mIHRoZSBub3J0aGVhc3Rlcm4gZ3VsZiBvZiBtZXhpY28gcGh5c2ljYWwgb2NlYW5vZ3JhcGhpYyBwcm9ncmFtOiBjaGVtaWNhbCBvY2Vhbm9ncmFwaHkgYW5kIGh5ZHJvZ3JhcGh5IHN0dWR5IChuZWdvbSkgcHJvamVjdCwgMTYgbm92ZW1iZXIgMTk5NyB0byAwOCBhdWd1c3QgMjAwMCAobmNlaSBhY2Nlc3Npb24gMDAwMDcwMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwNzAzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI1NTUsMV0ifQ%3D%3D/gov.noaa.nodc%3A0069120_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-04 to 2010-09-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, methane, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer, gas chromatograph, methane sensor and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0069120)", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0069126_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-09 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069126)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-09", - "end_date": "2010-09-15", - "bbox": "-88.5, 28.284, -87, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373578-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373578-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069126_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-09 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer, gas chromatograph and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0069126)", + "id": "glmgoesL3_1", + "title": "GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-12-18", + "end_date": "", + "bbox": "162.9, -57, -76.2, 57", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2278812167-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2278812167-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/glmgoesL3_1", + "description": "The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) onboard the Geostationary Operational Environmental Satellite 16 and 17 (GOES-16 and GOES-17). These satellites are a part of the GOES-R series program: a four satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069127_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-10-07 to 2010-10-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069127)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-10-07", - "end_date": "2010-10-20", - "bbox": "-90.57, 27.36, -87.716, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373589-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373589-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069127_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-10-07 to 2010-10-20 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069127)", + "id": "global-cryosphere-watch-data-survey_1.0", + "title": "Global Cryosphere Watch data survey", + "catalog": "ENVIDAT STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-01-01", + "bbox": "5.95587, 45.81802, 10.49203, 47.80838", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2789815290-ENVIDAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789815290-ENVIDAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/global-cryosphere-watch-data-survey_1.0", + "description": "Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069128_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-23 to 2010-07-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069128)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-23", - "end_date": "2010-07-17", - "bbox": "-90.2, 28.598, -88.3, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373600-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373600-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0069128_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-23 to 2010-07-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069128)", + "id": "global-species-distributions-for-mammals-reptiles-and-amphibians_1.0", + "title": "Global species distributions for mammals, reptiles, and amphibians", + "catalog": "ENVIDAT STAC Catalog", + "state_date": "2022-01-01", + "end_date": "2022-01-01", + "bbox": "180, -90, -180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082087-ENVIDAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082087-ENVIDAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/global-species-distributions-for-mammals-reptiles-and-amphibians_1.0", + "description": "We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5\u00b0 spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069356_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-10-07 to 2010-10-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069356)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-10-07", - "end_date": "2010-10-17", - "bbox": "-89.901878, 28.705, -86.24, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373630-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373630-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069356_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-10-07 to 2010-10-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069356)", + "id": "global_N_cycle_797_1", + "title": "Global N Cycle: Fluxes and N2O Mixing Ratios Originating from Human Activity", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1756-01-01", + "end_date": "2004-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776893351-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776893351-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIiwidW1tIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIn0%3D/global_N_cycle_797_1", + "description": "Nitrogen is a major nutrient in terrestrial ecosystems and an important catalyst in tropospheric photochemistry. Over the last century human activities have dramatically increased inputs of reactive nitrogen (Nr, the combination of oxidized, reduced and organically bound nitrogen) to the Earth system. Nitrogen cycle perturbations have compromised air quality and human health, acidified ecosystems, and degraded and eutrophied lakes and coastal estuaries [Vitousek et al., 1997a, 1997b; Rabalais, 2002; Howarth et al., 2003; Townsend et al., 2003; Galloway et al., 2004]. To begin to quantify the changes to the global N cycle, we have assembled key flux data and N2O mixing ratios from various sources. The data assembled from different sources includes fertilizer production from 1920-2004; manure production from 1860-2004; crop N fixation estimated for three time points, 1860, 1900, 1995; tropospheric N2O mixing ratios from ice core and firn measurements, and tropospheric concentrations to cover the time period from 1756-2004. The changing N2O concentrations provide an independent index of changes to the global N cycle, in much the same way that changing carbon dioxide concentrations provide an important constraint on the global carbon cycle. The changes to the global N cycle are driven by industrialization, as indicated by fossil fuel NOx emission, and by the intensification of agriculture, as indicted by fertilizer and manure production and crop N2 fixation. The data set and the science it reflects are by nature interdisciplinary. Making the data set available through the ORNL DAAC is an attempt to make the data set available to the considerable interdisciplinary community studying the N cycle.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069614_Not Applicable", - "title": "Chemical and physical oceanographic profile data collected from CTD casts aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico from 2010-08-13 to 2010-08-21 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069614)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-13", - "end_date": "2010-08-21", - "bbox": "-88.987167, 28.1895, -83.0375, 30.188333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373709-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373709-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069614_Not%20Applicable", - "description": "Chemical and physical oceanographic profile data were collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico from 2010-08-13 to 2010-08-21 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069614)", + "id": "global_N_deposition_maps_830_1", + "title": "Global Maps of Atmospheric Nitrogen Deposition, 1860, 1993, and 2050", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1860-01-01", + "end_date": "2050-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2776896954-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776896954-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIiwidW1tIjoiW1wiZ2xvYmFsIG1hbmdyb3ZlIGRpc3RyaWJ1dGlvbiwgYWJvdmVncm91bmQgYmlvbWFzcywgYW5kIGNhbm9weSBoZWlnaHRcIixcIk9STkxfQ0xPVURcIixcIkNNU19HbG9iYWxfTWFwX01hbmdyb3ZlX0Nhbm9weV8xNjY1XCIsXCIxLjNcIiwyMzg5MTA3MjA2LDddIn0%3D/global_N_deposition_maps_830_1", + "description": "This data set provides global gridded estimates of atmospheric deposition of total inorganic nitrogen (N), NHx (NH3 and NH4+), and NOy (all oxidized forms of nitrogen other than N2O), in mg N/m2/year, for the years 1860 and 1993 and projections for the year 2050. The data set was generated using a global three-dimensional chemistry-transport model (TM3) with a spatial resolution of 5 degrees longitude by 3.75 degrees latitude (Jeuken et al., 2001; Lelieveld and Dentener, 2000). Nitrogen emissions estimates (Van Aardenne et al., 2001) and projection scenario data (IPCC, 1996; 2000) were used as input to the model.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0069615_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-22 to 2010-10-24 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069615)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-22", - "end_date": "2010-10-24", - "bbox": "-91.2, 28, -86, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373719-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373719-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0069615_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-22 to 2010-10-24 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069615)", + "id": "global_population_xdeg_975_1", + "title": "ISLSCP II Global Population of the World", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1990-01-01", + "end_date": "1995-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784894945-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784894945-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/global_population_xdeg_975_1", + "description": "Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with this data set for the reference years 1990 and 1995. Over 127,000 administrative units and population counts were collected and integrated from various sources to create the gridded data. In brief, GPW was created using the following steps: * Population data were estimated for the product reference years, 1990 and 1995, either by the data source or by interpolating or extrapolating the given estimates for other years. * Additional population estimates were created by adjusting the source population data to match UN national population estimates for the reference years. * Borders and coastlines of the spatial data were matched to the Digital Chart of the World where appropriate and lakes from the Digital Chart of the World were added. * The resulting data were then transformed into grids of UN-adjusted and unadjusted population counts for the reference years. * Grids containing the area of administrative boundary data in each cell (net of lakes) were created and used with the count grids to produce population densities.As with any global data set based on multiple data sources, the spatial and attribute precision of GPW is variable. The level of detail and accuracy, both in time and space, vary among the countries for which data were obtained.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070122_Not Applicable", - "title": "Biological, chemical, optical, and physical observations collected aboard the Alaska marine highway system ferry TUSTUMENA in the Gulf of Alaska from September 15, 2004 through November 6, 2008 (NCEI Accession 0070122)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-09-15", - "end_date": "2008-11-06", - "bbox": "-166.5981, 48.6226, -122.514, 61.1241", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373814-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373814-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwsIGdlb2xvZ2ljYWwsIGFuZCBvdGhlciBkYXRhIHdlcmUgY29sbGVjdGVkIGZyb20gdGhlIHIvdiBraXR0aXdha2UgYXQgMTAwIHNpdGVzIGluIHB1Z2V0IHNvdW5kIGZyb20gMDEganVuZSAxOTk4IHRvIDAxIGp1bHkgMTk5OCBhcyBwYXJ0IG9mIGEgdGhyZWUteWVhciBzdHVkeSBvZiB0b3hpbnMgKG5jZWkgYWNjZXNzaW9uIDAwMDA0MjUpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDQyNVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0ODg3LDFdIiwidW1tIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwsIGdlb2xvZ2ljYWwsIGFuZCBvdGhlciBkYXRhIHdlcmUgY29sbGVjdGVkIGZyb20gdGhlIHIvdiBraXR0aXdha2UgYXQgMTAwIHNpdGVzIGluIHB1Z2V0IHNvdW5kIGZyb20gMDEganVuZSAxOTk4IHRvIDAxIGp1bHkgMTk5OCBhcyBwYXJ0IG9mIGEgdGhyZWUteWVhciBzdHVkeSBvZiB0b3hpbnMgKG5jZWkgYWNjZXNzaW9uIDAwMDA0MjUpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDQyNVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0ODg3LDFdIn0%3D/gov.noaa.nodc%3A0070122_Not%20Applicable", - "description": "An oceanographic measurement system aboard the Alaskan ferry Tustumena operated for four years in the Alaska Coastal Current with funding from the Exxon Valdez Oil Spill Trustee Council, the North Pacific Research Board and the National Oceanic and Atmospheric Administration. Sampling water from the ships sea chest at 4 m, the underway system measured: (1) temperature and salinity basic physical variables, (2) nitrate - an essential phytoplankton nutrient, (3) chlorophyll fluorescence an indicator of phytoplankton concentration, (4) colored dissolved organic matter (CDOM) fluorescence an indicator of terrestrial runoff, and (5) optical beam transmittance an indicator of suspended sediment. Instrumentation: Time series instruments used on this underway system are listed by manufacturer. Data are processed using software provided by the manufacturers of the instruments along with recent calibration files when appropriate. Post processing was via Ferret data visualization and analysis software.", + "id": "globalir_1", + "title": "INFRARED GLOBAL GEOSTATIONARY COMPOSITE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-06-04", + "end_date": "", + "bbox": "-180, -61, 180, 66", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996543397-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996543397-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/globalir_1", + "description": "The Infrared Global Geostationary Composite dataset contains global composite images from the infrared channels of multiple weather satellites in geosynchronous orbit. These satellites include the Global Mobility Service (GMS) from Japan, the Geostationary Operational Environmental Satellite (GOES) from the United States, NOAA satellites, and the Meteorological Satellite (METEOSAT) from Europe spanning nearly the entire globe. The spatial resolution is 14 km before December 18, 2017, and 4 km after that with the data remapped into a Mercator projection. The data have not necessarily been cross-calibrated between sensors. The data are available in AREA McIDAS format from June 4, 1995, to January 24, 2024, and netCDF-4 format from January 25, 2024, to present. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070330_Not Applicable", - "title": "Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-06-15 to 2010-06-25 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070330)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-15", - "end_date": "2010-06-25", - "bbox": "-88.5762, 27.8454, -85.222, 30.6763", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373844-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373844-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0070330_Not%20Applicable", - "description": "Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-06-15 to 2010-06-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070330)", + "id": "globalview_ch4_point_1109_1", + "title": "ISLSCP II GlobalView: Atmospheric Methane Concentrations", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1984-01-01", + "end_date": "1998-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785319804-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785319804-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/globalview_ch4_point_1109_1", + "description": "The GlobalView Methane (CH4) data product contains synchronized and smoothed time series of atmospheric CH4 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1984 to 1998 with some sites having shorter or longer temporal coverage. Note that the GlobalView-CH4 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CH4 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 74 files with this data set which includes 71 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file containing CH4 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070331_Not Applicable", - "title": "Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-08 to 2010-07-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070331)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-08", - "end_date": "2010-07-16", - "bbox": "-89.805, 27.878, -87, 30.368", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373853-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373853-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0070331_Not%20Applicable", - "description": "Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-08 to 2010-07-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070331)", + "id": "globalview_co2_point_1111_1", + "title": "ISLSCP II Globalview: Atmospheric CO2 Concentrations", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1979-01-01", + "end_date": "2001-01-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785323218-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785323218-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/globalview_co2_point_1111_1", + "description": "The GlobalView Carbon Dioxide (CO2) data product contains synchronized and smoothed time series of atmospheric CO2 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans, (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1979 to 2001 with some sites having longer or shorter temporal coverage. Note that the GlobalView CO2 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CO2 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 92 files with this data set which includes 89 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file which contains CO2 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070332_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-25 to 2010-07-31 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070332)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-25", - "end_date": "2010-07-31", - "bbox": "-88.5767, 23.9296, -81.8072, 30.3438", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373861-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373861-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0070332_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-25 to 2010-07-31 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070332)", + "id": "globe_dem_630_1", + "title": "SAFARI 2000 Digital Elevation Model, 1-km (GLOBE)", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1999-01-01", + "end_date": "1999-06-01", + "bbox": "5, -35, 60, 5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2788339997-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2788339997-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic2FmYXJpIDIwMDAgY2xvdWQgYWJzb3JwdGlvbiByYWRpb21ldGVyIGJyZGYsIGRyeSBzZWFzb24gMjAwMFwiLFwiT1JOTF9DTE9VRFwiLFwiQ0FSX0JSREZfNzA5XCIsXCIxXCIsMjc4ODM3NjE0NywyXSIsInVtbSI6IltcInNhZmFyaSAyMDAwIGNsb3VkIGFic29ycHRpb24gcmFkaW9tZXRlciBicmRmLCBkcnkgc2Vhc29uIDIwMDBcIixcIk9STkxfQ0xPVURcIixcIkNBUl9CUkRGXzcwOVwiLFwiMVwiLDI3ODgzNzYxNDcsMl0ifQ%3D%3D/globe_dem_630_1", + "description": "This data set consists of a southern African subset of the Global Land One-Kilometer Base Elevation (GLOBE) digital elevation model (DEM) data in both ASCII GRID and binary image file formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070333_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-02 to 2010-08-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070333)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-02", - "end_date": "2010-08-08", - "bbox": "-88.938, 24.2763, -81.8091, 30.2892", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373871-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373871-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0070333_Not%20Applicable", - "description": "Chemical, physical, profile, laboratory analysis and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-02 to 2010-08-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070333)", + "id": "gls_Not provided", + "title": "Global Land Survey", + "catalog": "USGS_LTA STAC Catalog", + "state_date": "1970-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567576-USGS_LTA.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567576-USGS_LTA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections?cursor=eyJqc29uIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIiwidW1tIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIn0%3D/gls_Not%20provided", + "description": "The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. NASA and the USGS have again partnered to develop the Global Land Survey 2010 (GLS2010), a new global land data set with core acquisition dates of 2008-2011. This dataset consists of both Landsat TM and ETM+ images that meet quality and cloud cover standards established by the earlier GLS collections. Data acquired in 2011 were used to fill areas of low image quality or excessive cloud cover.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070530_Not Applicable", - "title": "Benthic habitat data for Wawaloi and Keei, Kona Coast, Island of Hawaii, August 2004 (NCEI Accession 0070530)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-08-06", - "end_date": "2004-08-11", - "bbox": "156.05, 19.45, 155.9167, 19.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373881-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373881-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0070530_Not%20Applicable", - "description": "Transects were made at two locations on the west side of the Island of Hawaii in August 2004 to study the structure and composition of the benthic habitat. Photoquadrats were established to quantify the percent of the benthic substrate occupied by coral and algal species, through use of Coral Point Count with Excel Extensions. Rugosity along each transect was also calculated. The transects were 15 m in length with photoquadrats at each meter mark. Each set of transects at each site consists of 10 15-m long transects running ~parallel to the shore, with ends of all transects aligned, and transects spaced 10 m apart along the vertical profile of the reef from the reef flat to the sandy interface at a depth of ~25 m. Quantified data provided in Excel spreadsheets. Original JPEG images from the photoquadrats are given as well, for future users to have the opportunity to apply other methods of quantifying the benthos.", + "id": "gmted2010_Not provided", + "title": "Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010)", + "catalog": "USGS_LTA STAC Catalog", + "state_date": "1970-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567856-USGS_LTA.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220567856-USGS_LTA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections?cursor=eyJqc29uIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIiwidW1tIjoiW1wiY2VvcyBjYWwgdmFsIHRlc3Qgc2l0ZSAtIG1hdXJpdGFuaWEgMiAtIHBzZXVkby1pbnZhcmlhbnQgY2FsaWJyYXRpb24gc2l0ZSAocGljcylcIixcIlVTR1NfTFRBXCIsXCJDRU9TX0NhbFZhbF9UZXN0X1NpdGVzLU1hdXJpdGFuaWEyXCIsXCJub3QgcHJvdmlkZWRcIiwxMjIwNTY2OTUzLDVdIn0%3D/gmted2010_Not%20provided", + "description": "The USGS and the NGA have collaborated on the development of a notably enhanced global elevation model named the GMTED2010 that replaces GTOPO30 as the elevation dataset of choice for global and continental scale applications. The new model has been generated at three separate resolutions (horizontal post spacings) of 30 arc-seconds (about 1 kilometer), 15 arc-seconds (about 500 meters), and 7.5 arc-seconds (about 250 meters). This new product suite provides global coverage of all land areas from lat 84\u00b0N to 56\u00b0S for most products, and coverage from 84\u00b0N to 90\u00b0S for several products. Some areas, namely Greenland and Antarctica, do not have data available at the 15- and 7.5-arc-second resolutions because the input source data do not support that level of detail. An additional advantage of the new multi-resolution global model over GTOPO30 is that seven new raster elevation products are available at each resolution. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070532_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-24 to 2010-09-10 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070532)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-24", - "end_date": "2010-09-10", - "bbox": "-94.706, 27.307, -84.791, 30.512", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373890-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373890-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0070532_Not%20Applicable", - "description": "Chemical, physical, profile, meteorological, navigational and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-24 to 2010-09-10 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070532)", + "id": "goes71_444_1", + "title": "BOREAS RSS-14 GOES-7 Level-1 Visible, Infrared, and Water Vapor Images", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1994-01-04", + "end_date": "1995-07-08", + "bbox": "-111, 50.09, -93.5, 59.98", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929421613-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929421613-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes71_444_1", + "description": "The level-1 BOREAS GOES-7 image data were collected by Remote Sensing Science Team 14 (RSS-14) personnel at Florida State University (FSU) and delivered to BORIS. The data cover the period of 01-Jan-1994 through 08-Jul-1995, with partial to complete coverage on the majority of the days. The data include three bands with eight-bit pixel values.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0070533_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico and North Atlantic Ocean from 2010-09-16 to 2010-09-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070533)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-16", - "end_date": "2010-09-29", - "bbox": "-88.5657, 24.393, -81.476, 30.368", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373901-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373901-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0070533_Not%20Applicable", - "description": "Chemical, physical, profile, meteorological, navigational and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico and North Atlantic Ocean from 2010-09-16 to 2010-09-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070533)", + "id": "goes71a_300_1", + "title": "BOREAS RSS-14 GOES-7 Level-1a Visible, Infrared, and Water Vapor Images", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1994-01-01", + "end_date": "1995-07-08", + "bbox": "-111, 50.09, -93.5, 59.98", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2846971356-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2846971356-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes71a_300_1", + "description": "The level-1a BOREAS GOES-7 image data was collected by Remote Sensing Science Team-14 (RSS-14) personnel at Florida State University and processed to level-1a products by BORIS personnel. The data cover the period 01-JAN-1994 through 08-JUL-1995.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0072888_Not Applicable", - "title": "AVHRR Pathfinder version 5 4km global sea surface temperature (SST) seasonal and annual day-night climatologies for 1982-2009 for the Gulf of Mexico (NCEI Accession 0072888)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-01-01", - "end_date": "2009-12-31", - "bbox": "-98.68, 17.03, -78.9, 31.97", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374793-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374793-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0072888_Not%20Applicable", - "description": "This accession contains a set of sea surface temperature climatologies for the Gulf of Mexico (GOM), derived from the AVHRR Pathfinder Version 5 global 4km sea surface temperature data set. These GOM climatologies were produced from 5-day cloud-screened day-night averages of Pathfinder SST data from 1982-2009, which are archived at the National Oceanographic Data Center under separate accession numbers. In addition to sea surface temperature, the climatologies also include minimum, maximum, standard deviation, and number of observations. The climatologies are available as 32-bit Tagged Image File Format (.TIFF) data files for 1982-2009 and include seasonal and yearly time periods. The climatologies are also included as Arc Grid (.mxd) and .PNG layers with associated legends for user convenience and were assigned projection GCS_WGS_1984. An additional subdirectory contains the annual mean, season 1 (Jan-Mar) mean, season 2 (Apr -June) mean, season 3 (Jul - Sept) mean, and season 4 (Oct-Dec) mean as color-classified .PNG images with a matching shape file that we developed for use in online visualizations. A separate GOM land mask which will also display inland water bodies has been included with this accession. The land mask was developed from the Global Self-consistent, Hierarchical, High-resolution Shoreline Database v2.2.0 product (Wessel and Smith, 2011). The user should note that although quality flags were assigned consistently for all water pixels, SSTs for inland water bodies (lakes and rivers) should be used with caution, as their accuracy has not been documented and there are numerous complexities involved with determining surface temperatures in inland regions.", + "id": "goes72_554_1", + "title": "BOREAS RSS-14 GOES-7 Level-2 Shortwave and Longwave Radiation Images", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1994-02-05", + "end_date": "1994-09-20", + "bbox": "-111, 47.65, -87.12, 65.91", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929163896-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929163896-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes72_554_1", + "description": "This data set contains images of shortwave and longwave radiation at the surface and top of the atmosphere derived from collected GOES-7 data. The data cover the time period of 05-Feb-1994 to 20-Sep-1994. The images missing from the temporal series were zero-filled to create a consistent sequence of files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0073269_Not Applicable", - "title": "Bottom pressure, vertical acoustic round-trip travel time, and near-bottom currents data collected by Current-and-Pressure-recording Inverted Echo Sounders (CPIES), as part of the Kuroshio Extension System Study (KESS), from 26 April 2004 to 25 June 2006 in the Kuroshio Extension east of Japan (NCEI Accession 0073269)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-04-26", - "end_date": "2006-06-25", - "bbox": "143.16, 30.02, 148.85, 38.51", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374856-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374856-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0073269_Not%20Applicable", - "description": "This data set contains Current and Pressure recording Inverted Echo Sounder (CPIES) measurements collected during the Kuroshio Extension System Study (KESS) under the sponsorship of the National Science Foundation. The measurements were taken between April 2004 and June 2006. Data are from 46 sites. The measured quantities include bottom pressure, vertical acoustic round-trip travel time and near-bottom currents.", + "id": "goes81_445_1", + "title": "BOREAS RSS-14 GOES-8 Level-1 Visible, Infrared and Water Vapor Images", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1995-07-14", + "end_date": "1996-10-03", + "bbox": "-111, 50.09, -93.5, 58.98", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929112895-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929112895-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes81_445_1", + "description": "The level-1 BOREAS GOES-8 images are raw data values collected by RSS-14 personnel at FSU and delivered to BORIS. The data cover 14-Jul-1995 to 21-Sep-1995 and 01-Jan-1996 to 03-Oct- 1996. The data start out containing three 8-bit spectral bands and end up containing five 10-bit spectral bands.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074372_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-14 to 2010-05-18 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074372)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-14", - "end_date": "2010-05-18", - "bbox": "-90.21514, 28.42141, -88, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375012-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375012-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0074372_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-14 to 2010-05-18 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and suspended solids. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer and bottle along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074372)", + "id": "goes81a_446_1", + "title": "BOREAS RSS-14 GOES-8 Level-1a Visible, Infrared and Water Vapor Images", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1995-07-14", + "end_date": "1996-10-03", + "bbox": "-111, 50.09, -93.5, 58.98", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2929124379-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2929124379-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiYm9yZWFzIHJzcy0wNyByZWdpb25hbCBsYWkgYW5kIGZwYXIgaW1hZ2VzIGZyb20gdGVuLWRheSBhdmhyci1sYWMgY29tcG9zaXRlc1wiLFwiT1JOTF9DTE9VRFwiLFwicjdsYWlmcGFfNDQyXCIsXCIxXCIsMjkyOTEwNzUyOCwyXSIsInVtbSI6IltcImJvcmVhcyByc3MtMDcgcmVnaW9uYWwgbGFpIGFuZCBmcGFyIGltYWdlcyBmcm9tIHRlbi1kYXkgYXZocnItbGFjIGNvbXBvc2l0ZXNcIixcIk9STkxfQ0xPVURcIixcInI3bGFpZnBhXzQ0MlwiLFwiMVwiLDI5MjkxMDc1MjgsMl0ifQ%3D%3D/goes81a_446_1", + "description": "The level-1a GOES-8 images cover 14-Jul-1995 to 21-Sep-1995 and 12-Feb-1996 to 03-Oct-1996. The data start out as three bands with 8-bit pixel values and end up as five bands with 10-bit pixel values. The differences between the level-1 and level-1a GOES-8 data are the formatting and packaging of the data. The images missing from the temporal series of level-1 GOES-8 images were zero-filled to create files consistent in size and format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074853_Not Applicable", - "title": "Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-07 to 2010-09-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074853)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-07", - "end_date": "2010-09-11", - "bbox": "-90.85, 27.5, -88.7, 29.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375175-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375175-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0074853_Not%20Applicable", - "description": "Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-07 to 2010-09-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH) and Volatile Organic Compounds. The instruments used to collect these data included CTD and bottle along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074853)", + "id": "goescpex_1", + "title": "GOES CPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-31", + "end_date": "2017-06-25", + "bbox": "-130.924, 8.0293, -57.1049, 49.9", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617798948-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617798948-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goescpex_1", + "description": "The GOES CPEX dataset contains products obtained from the Geostationary Operational Environmental Satellite 13. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 31, 2017 through July 25, 2017 and are available in netCDF-3 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074854_Not Applicable", - "title": "Chemical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-03 to 2010-07-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074854)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-03", - "end_date": "2010-07-07", - "bbox": "-91.9, 28.650542, -88.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375187-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375187-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0074854_Not%20Applicable", - "description": "Chemical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-03 to 2010-07-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH) and Volatile Organic Compounds. The instruments used to collect these data included bottle along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074854)", + "id": "goescpexcv_1", + "title": "GOES CPEX-CV", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2022-09-06", + "end_date": "2022-09-30", + "bbox": "-84.0932388, 3.2196231, 5.6536155, 67.0445328", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2738393375-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2738393375-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goescpexcv_1", + "description": "The GOES CPEX-CV dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were gathered during the Convective Processes Experiment \u2013 Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde during August-September 2022. The campaign is a continuation of CPEX \u2013 Aerosols and Winds (CPEX-AW) and will be conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 6-20, 2022 in netCDF-4 format, with associated browse imagery in MPEG-4 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074863_Not Applicable", - "title": "Chemical and laboratory analyses oceanographic data collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074863)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-18", - "end_date": "2010-08-22", - "bbox": "-90.088057, 26.502077, -89.807934, 27.649192", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375199-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375199-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0074863_Not%20Applicable", - "description": "Chemical and laboratory analyses oceanographic data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH) and Volatile Organic Compounds. The instruments used to collect these data included bottle along with other physical sampling devices. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0074863)", + "id": "goesimpacts_1", + "title": "GOES IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2023-03-02", + "bbox": "-117.1143494, 8.2410402, -50.1258583, 53.149292", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995568158-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995568158-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goesimpacts_1", + "description": "The GOES IMPACTS dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The GOES IMPACTS dataset files are available in netCDF-4 format from January 1 through February 29, 2020. This dataset contains data from the GOES-16 CONUS and Mesoscale sectors, although IMPACTS uses a subset of the GOES-16 CONUS domain. The complete collection of GOES data is available from the NOAA Comprehensive Large Array-Data Stewardship System (CLASS). It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074904_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-19 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074904)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-19", - "end_date": "2010-09-28", - "bbox": "-89.976969, 26.9997, -87.59, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375212-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375212-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0074904_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-09-19 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and sediment properties. The instruments used to collect these data included bottle and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074904)", + "id": "goesrpltaviris_1", + "title": "GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-04-11", + "end_date": "2017-05-14", + "bbox": "-118.198, 26.449, -72.2016, 43.5726", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979992256-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979992256-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goesrpltaviris_1", + "description": "The GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) dataset consists of radiance, reflectance, water phase, and navigation data delivered by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) flown aboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. This field campaign took place from March through May 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM) satellite instruments. The GOES-R PLT AVIRIS data files are available from April 11, 2017 through May 14, 2017 in ASCII and binary formats along with browse imagery files in JPG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074905_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-25 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074905)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-25", - "end_date": "2010-09-28", - "bbox": "-89.58, 28.44, -88.21, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375226-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375226-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0074905_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-09-25 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and sediment properties. The instruments used to collect these data included bottle and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074905)", + "id": "goesrpltavirisng_1", + "title": "GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-23", + "end_date": "2017-03-28", + "bbox": "-121.489, 31.2055, -113.216, 35.8355", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995568884-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995568884-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltavirisng_1", + "description": "The GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) dataset consists of radiance, reflectance, water phase, and navigation data collected by the Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) for the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). AVIRIS-NG is an imaging spectrometer that measures reflected radiance at 5 nm intervals in the Visible/Short-Wave Infrared (VSWIR) spectral range from 380-2,510 nm. AVIRIS-NG flew onboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. Data files in ASCII and BINARY formats are available for March 23 and 28, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0074906_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-10-01 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074906)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-10-01", - "end_date": "2010-10-03", - "bbox": "-89.58, 28.639058, -88.359144, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375237-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375237-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0074906_Not%20Applicable", - "description": "Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-10-01 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and sediment properties. The instruments used to collect these data included bottle and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074906)", + "id": "goesrpltcolma_1", + "title": "GOES-R PLT Colorado Lightning Mapping Array (LMA)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2017-05-31", + "bbox": "-104.647, 40.4364, -104.627, 40.4564", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979994646-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979994646-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltcolma_1", + "description": "The GOES-R PLT Colorado Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Colorado LMA (COLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through May 31, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0077816_Not Applicable", - "title": "AVHRR Pathfinder version 5.0 global 4km sea surface temperature (SST) day-night monthly and yearly averages for 1985-2009 (NCEI Accession 0077816)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-01-01", - "end_date": "2009-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375435-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375435-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0077816_Not%20Applicable", - "description": "This data set contains a set of monthly and yearly global day-night sea surface temperature averages, derived from the AVHRR Pathfinder Version 5 sea surface temperature cloudscreened data set in GeoTIFF format. The AVHRR Pathfinder SST data sets provide the longest, most accurate, and highest resolution consistently-reprocessed SST climate data record from the AVHRR sensor series. These data files were produced to facilitate the utilization of high resolution Pathfinder v5.0 sea surface temperature data within geographic information system (GIS) software. These day-night combined monthly and yearly means were produced from cloud-screened day-night monthly full resolution files of Pathfinder SST data from 1985-2009. The original .HDF files are archived at the National Oceanographic Data Center under separate accession numbers. The GeoTIFF SST averages were assigned projection GCS_WGS_1984. In addition, browse images in PNG format with an associated KML file for each year are included with these data as well as detailed metadata.", + "id": "goesrpltcpl_1", + "title": "GOES-R PLT Cloud Physics LiDAR (CPL)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-23", + "end_date": "2017-05-17", + "bbox": "-118.234, 26.4487, -65.3628, 43.5723", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112912-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979112912-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goesrpltcpl_1", + "description": "The GOES-R PLT Cloud Physics Lidar (CPL) dataset consists of backscatter coefficient, lidar depolarization ratio, layer top/base height, layer type, particulate extinction coefficient, ice water content, and layer/cumulative optical depth data collected from the Cloud Physics LiDAR instrument flown aboard the NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign supported post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The CPL instrument is a multi-wavelength backscatter LiDAR that provides multi-wavelength measurements of cirrus clouds and aerosols with high temporal and spatial resolution. Data files are available from April 13, 2017 through May 14, 2017 in HDF-5 format with layer information in ASCII text files. Browse imagery files in GIF format are also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0080994_Not Applicable", - "title": "Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 1998-01-21 to 1998-02-17 (NCEI Accession 0080994)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-01-21", - "end_date": "1998-02-17", - "bbox": "51.94, -60.21, 77.77, -21.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375805-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375805-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0080994_Not%20Applicable", - "description": "Underway measurements from OISO-1 cruise (Indian and Southern Oceans).", + "id": "goesrpltcrs_1", + "title": "GOES-R PLT Cloud Radar System (CRS)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-04-11", + "end_date": "2017-05-17", + "bbox": "-117.184, 26.4488, -72.2019, 43.5725", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995568976-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995568976-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goesrpltcrs_1", + "description": "The GOES-R PLT Field Campaign Cloud Radar System (CRS) dataset provides high-resolution profiles of reflectivity and Doppler velocity at aircraft nadir along the flight track. The CRS was flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March 21 to May 17, 2017 in support of post-launch product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM) aboard the GOES-R, now GOES-16, satellite. The CRS data files are available in netCDF-3 format with browse imagery available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0081002_Not Applicable", - "title": "Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 1998-08-19 to 1998-09-07 (NCEI Accession 0081002)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-08-19", - "end_date": "1998-09-07", - "bbox": "51.82, -50.68, 77.57, -23.84", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375882-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375882-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0081002_Not%20Applicable", - "description": "Underway measurements from OISO-2 cruise (South Indian and Southern Oceans)", + "id": "goesrpltdclma_1", + "title": "GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-04-06", + "end_date": "2017-06-01", + "bbox": "-77.1786, 38.8788, -77.1586, 38.8988", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979113112-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979113112-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltdclma_1", + "description": "The GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Washington D.C. LMA (DCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from April 6, 2017 through June 1, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0081004_Not Applicable", - "title": "Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 2000-01-15 to 2000-02-07 (NCEI Accession 0081004)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2000-01-15", - "end_date": "2000-02-07", - "bbox": "51.84, -61.34, 77.39, -21.71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375900-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375900-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0081004_Not%20Applicable", - "description": "Underway fCO2 measurements from OISO-4 cruise (Indian and Southern Oceans)", + "id": "goesrpltfegs_1", + "title": "GOES-R PLT Fly's Eye GLM Simulator (FEGS)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-21", + "end_date": "2017-05-17", + "bbox": "-124.624, 26.4493, -72.2019, 43.5724", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979115640-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979115640-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltfegs_1", + "description": "The GOES-R PLT Fly\u2019s Eye GLM Simulator (FEGS) dataset consists of lightning flash, lightning pulse, and radiance data collected by the FEGS flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0081028_Not Applicable", - "title": "Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship S. A. AGULHAS in the South Atlantic Ocean and the Southern Oceans (> 60 degrees South) from 2008-09-04 to 2010-05-20 (NCEI Accession 0081028)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2008-09-04", - "end_date": "2010-05-20", - "bbox": "-37.79, -70.63, 38.03, -33.82", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376120-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376120-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0081028_Not%20Applicable", - "description": "GOUGH, MARION, SANAE Expeditions on board S. A. Agulhas data", + "id": "goesrpltgcas_1", + "title": "GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-21", + "end_date": "2017-05-14", + "bbox": "-124.838, 27.4778, -72.1396, 43.6489", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979115813-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979115813-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltgcas_1", + "description": "The GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) dataset consist of solar backscattered radiation measured by the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). Data files in HDF-5 format are available for March 21, 2017 through May 14, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0083626_Not Applicable", - "title": "Carbon dioxide, temperature, and salinity collected via surface underway survey in the East Coast of the United States (northwestern Atlantic Ocean) during the Ocean Margins Program cruises (NCEI Accession 0083626)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-05-11", - "end_date": "1996-10-17", - "bbox": "-80.36, 27.46, -66.99, 41.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372286-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372286-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2FyYm9uIGRpb3hpZGUsIGh5ZHJvZ3JhcGhpYywgYW5kIGNoZW1pY2FsIGRpc2NyZXRlIHByb2ZpbGUgZGF0YSBvYnRhaW5lZCBkdXJpbmcgdGhlIHIvdiBuLmIuIHBhbG1lciBjcnVpc2UgaW4gdGhlIHNvdXRoIHBhY2lmaWMgb2NlYW4gb24gZ28tc2hpcC9jbGl2YXIvc29jY29tIHJlcGVhdCBoeWRyb2dyYXBoeSBzZWN0aW9ucyBwMDZ3IChleHBvY29kZSAzMjA2MjAxNzA3MDMpIGFuZCBwMDZlIChleHBvY29kZSAzMjA2MjAxNzA4MjApIGZyb20gMjAxNy0wNy0wMyB0byAyMDE3LTA5LTMwIChuY2VpIGFjY2Vzc2lvbiAwMTc1NzQ0KVwiLFwiTk9BQV9OQ0VJXCIsXCIxMC4yNTkyMS8zYm1mLXhjMTZcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4MDY3NCwxXSIsInVtbSI6IltcImNhcmJvbiBkaW94aWRlLCBoeWRyb2dyYXBoaWMsIGFuZCBjaGVtaWNhbCBkaXNjcmV0ZSBwcm9maWxlIGRhdGEgb2J0YWluZWQgZHVyaW5nIHRoZSByL3Ygbi5iLiBwYWxtZXIgY3J1aXNlIGluIHRoZSBzb3V0aCBwYWNpZmljIG9jZWFuIG9uIGdvLXNoaXAvY2xpdmFyL3NvY2NvbSByZXBlYXQgaHlkcm9ncmFwaHkgc2VjdGlvbnMgcDA2dyAoZXhwb2NvZGUgMzIwNjIwMTcwNzAzKSBhbmQgcDA2ZSAoZXhwb2NvZGUgMzIwNjIwMTcwODIwKSBmcm9tIDIwMTctMDctMDMgdG8gMjAxNy0wOS0zMCAobmNlaSBhY2Nlc3Npb24gMDE3NTc0NClcIixcIk5PQUFfTkNFSVwiLFwiMTAuMjU5MjEvM2JtZi14YzE2XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODA2NzQsMV0ifQ%3D%3D/gov.noaa.nodc%3A0083626_Not%20Applicable", - "description": "NODC Accession 0083626 includes underway chemical and physical data collected from COLUMBUS ISELIN, ENDEAVOR, GYRE, OCEANUS, and SEWARD JOHNSON in the North Atlantic Ocean from 19930511 to 19961017 and retrieved during cruise LDEO Leg No: 9. These data include CARBON DIOXIDE - MOLE FRACTION - AIR, CARBON DIOXIDE - PARTIAL PRESSURE - DIFFERENCE, CARBON DIOXIDE - PARTIAL PRESSURE - SEA, SALINITY - SURFACE WATER, and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer, Carbon dioxide (CO2) shower head chamber equilibrator, and surface seawater intake. These data were collected by Taro Takahashi, David W. Chipman, John Goddard, and S. C. Sutherland of Lamont-Doherty Earth Observatory of Columbia University as part of OCEAN MARGINS PROGRAM.", + "id": "goesrpltivanpah_1", + "title": "GOES-R PLT Surface Radiance Ivanpah V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-23", + "end_date": "2017-03-28", + "bbox": "-115.416, 35.5954, -115.396, 35.6154", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979115951-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979115951-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltivanpah_1", + "description": "The GOES-R PLT Field Campaign Ivanpah dataset consists of surface reflectance and total optical depth data measured at Ivanpah Playa, Nevada during the GOES-R Post Launch Test (PLT) field campaign. The atmospheric measurements were made using an Automated Solar Radiometer (ASR), which tracks the sun throughout the day. Surface reflectance measurements were made using an ASD portable spectroradiometer and Spectralon reference panel. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1b and L2+ product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). The main goal of this dataset is to provide an independent validation of the AVIRIS-NG airborne instrument calibration. Data files in Excel format and browse imagery files in JPEG and PNG formats are only available for March 23 and March 28, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084555_Not Applicable", - "title": "Chemical, physical, profile and other oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-07 to 2010-05-12 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084555)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-07", - "end_date": "2010-05-12", - "bbox": "-90.21514, 28.55052, -88.3529, 29.12144", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372459-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372459-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0084555_Not%20Applicable", - "description": "Chemical, physical, profile, tows and underway oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-07 to 2010-05-12 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, fluorescence, suspended solids, temperature and turbidity. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer and fluorometer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084555)", + "id": "goesrpltksclma_1", + "title": "GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2017-06-01", + "bbox": "-80.6613, 28.5763, -80.6413, 28.5963", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980007947-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980007947-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltksclma_1", + "description": "The GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Kennedy Space Center LMA (KSCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084569_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-05 to 2010-06-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084569)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-05", - "end_date": "2010-06-07", - "bbox": "-90.5, 28.5, -88, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372484-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372484-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084569_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-05 to 2010-06-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084569)", + "id": "goesrpltlip_1", + "title": "GOES-R PLT Lightning Instrument Package (LIP)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-21", + "end_date": "2017-05-17", + "bbox": "-124.625, 26.449, -72.202, 43.573", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979116062-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979116062-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltlip_1", + "description": "The GOES-R PLT Lightning Instrument Package (LIP) dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PDF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084576_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-07 to 2010-06-09 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084576)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-07", - "end_date": "2010-06-09", - "bbox": "-88.5, 29.5, -86.37, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372492-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372492-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084576_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-07 to 2010-06-09 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084576)", + "id": "goesrpltmisrep_1", + "title": "GOES-R PLT Mission Reports", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-13", + "end_date": "2017-05-17", + "bbox": "-124.625, 26.449, -72.202, 43.573", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569043-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569043-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltmisrep_1", + "description": "The GOES-R PLT Mission Reports dataset consists of various reports filed by the scientists during the GOES-R Post Launch Test (PLT) field campaign including flight reports, weather forecasts, mission scientist reports, and plan-of-day reports. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The GOES-R PLT Mission Reports dataset contains reports from March 13 through May 17, 2017 in PDF, PNG, Microsoft Excel and Word (.xlsx and .docx) format, and KMZ format for display in Google Earth.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084578_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-09 to 2010-06-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084578)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-09", - "end_date": "2010-06-16", - "bbox": "-88.45, 29.75, -86.67, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372501-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372501-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084578_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-09 to 2010-06-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The Hydrocarbon Sensor Array data are raw and provisional. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084578)", + "id": "goesrpltnalma_1", + "title": "GOES-R PLT North Alabama Lightning Mapping Array (LMA)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2017-06-01", + "bbox": "-86.6553, 34.7146, -86.6353, 34.7346", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979116261-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979116261-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltnalma_1", + "description": "The GOES-R PLT North Alabama Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the North Alabama LMA (NALMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084579_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-18 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084579)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-18", - "end_date": "2010-06-23", - "bbox": "-88.05, 29.2, -86.67, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372512-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372512-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084579_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-18 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The Hydrocarbon Sensor Array data are raw and provisional. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084579)", + "id": "goesrpltnaver2_1", + "title": "GOES-R PLT ER-2 Flight Navigation Data", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-21", + "end_date": "2017-05-17", + "bbox": "-124.625, 26.449, -72.2016, 43.5726", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979121641-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979121641-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltnaver2_1", + "description": "The GOES-R PLT ER-2 Flight Navigation Data dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements collected by the NASA ER-2 high-altitude aircraft for flights that occurred during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). ER-2 navigation data files in ASCII-IWG1 format are available for March 21, 2017 through May 17, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084580_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-24 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084580)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-24", - "end_date": "2010-06-29", - "bbox": "-88.65, 28.7, -85.5, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372520-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372520-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084580_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-24 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084580)", + "id": "goesrpltoklma_1", + "title": "GOES-R PLT Oklahoma Lightning Mapping Array (LMA) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2017-06-01", + "bbox": "-97.9279, 35.2691, -97.9079, 35.2891", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980022592-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980022592-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltoklma_1", + "description": "The GOES-R PLT Oklahoma Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Oklahoma LMA (OKLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084581_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-01 to 2010-07-09 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084581)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-01", - "end_date": "2010-07-09", - "bbox": "-88.5, 26.75, -82.77, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372529-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372529-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084581_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-01 to 2010-07-09 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084581)", + "id": "goesrpltredlake_1", + "title": "GOES-R PLT Surface Radiance Red Lake V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-27", + "end_date": "2017-04-12", + "bbox": "-114.075, 35.65, -114.055, 35.67", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979121748-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979121748-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltredlake_1", + "description": "The GOES-R PLT Surface Radiance Red Lake dataset consists of surface radiation budget, ultraviolet-B (UVB) and photosynthetically active radiation (PAR) flux, meteorological (temperature, pressure, relative humidity, winds), and spectral aerosol optical thickness data collected by a mobile SURFRAD station at Red Lake, Arizona for the GOES-R Post Launch Test (PLT) field campaign. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). Data files are available in ASCII text format from March 27, 2017 through April 12, 2017. Surface reflectance measurements based on spectroradiometer data are also included in Microsoft Excel format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084582_Not Applicable", - "title": "Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-11 to 2010-07-13 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084582)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-11", - "end_date": "2010-07-13", - "bbox": "-88.3, 30, -85.75, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372539-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372539-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0084582_Not%20Applicable", - "description": "Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-11 to 2010-07-13 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included CTD, fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084582)", + "id": "goesrpltshis_1", + "title": "GOES-R PLT Scanning High-Resolution Interferometer Sounder (S-HIS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-21", + "end_date": "2017-05-17", + "bbox": "-125.016, 26.1133, -71.8618, 43.9249", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979121979-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979121979-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltshis_1", + "description": "The GOES-R PLT Field Campaign Scanning High-Resolution Interferometer Sounder (S-HIS) dataset consists of emitted thermal radiances measured by the Scanning High-resolution Interferometer Sounder (S-HIS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). Data files in netCDF-3 format are available for March 21, 2017 through May 17, 2017. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084583_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-14 to 2010-07-19 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084583)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-14", - "end_date": "2010-07-19", - "bbox": "-88.51, 28.32, -87.7, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372549-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372549-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwgYW5kIHRlbXBlcmF0dXJlIHByb2ZpbGUgZGF0YSBmcm9tIGN0ZCBjYXN0cyBpbiB0aGUgZWFzdCBjaGluYSBzZWEsIHNlYSBvZiBqYXBhbiwgYW5kIG5vcnRoIHBhY2lmaWMgb2NlYW4gKG5jZWkgYWNjZXNzaW9uIDk3MDAwMjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTcwMDAyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg3Nzc0LDFdIiwidW1tIjoiW1wiY2hlbWljYWwgYW5kIHRlbXBlcmF0dXJlIHByb2ZpbGUgZGF0YSBmcm9tIGN0ZCBjYXN0cyBpbiB0aGUgZWFzdCBjaGluYSBzZWEsIHNlYSBvZiBqYXBhbiwgYW5kIG5vcnRoIHBhY2lmaWMgb2NlYW4gKG5jZWkgYWNjZXNzaW9uIDk3MDAwMjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTcwMDAyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg3Nzc0LDFdIn0%3D/gov.noaa.nodc%3A0084583_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-14 to 2010-07-19 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084583)", + "id": "goesrpltsolma_1", + "title": "GOES-R PLT Southern Ontario Lightning Mapping Array (LMA) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-04-01", + "end_date": "2017-06-01", + "bbox": "-79.6164, 43.656, -79.5964, 43.676", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980036345-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980036345-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltsolma_1", + "description": "The GOES-R PLT Southern Ontario Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Southern Ontario LMA (SOLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from April 1, 2017 through June 1, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084584_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-21 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084584)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-21", - "end_date": "2010-07-23", - "bbox": "-88.5, 28.5, -88, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372559-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372559-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084584_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-21 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084584)", + "id": "goesrpltwtlma_1", + "title": "GOES-R PLT West Texas Lightning Mapping Array (LMA) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2017-06-01", + "bbox": "-101.833, 33.597, -101.813, 33.617", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1977516629-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1977516629-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/goesrpltwtlma_1", + "description": "The GOES-R PLT West Texas Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the West Texas LMA (WTXLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084585_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-25 to 2010-07-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084585)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-25", - "end_date": "2010-07-28", - "bbox": "-90.5, 28.5, -88, 30.53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372566-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372566-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwgYW5kIHRlbXBlcmF0dXJlIHByb2ZpbGUgZGF0YSBmcm9tIGN0ZCBjYXN0cyBpbiB0aGUgZWFzdCBjaGluYSBzZWEsIHNlYSBvZiBqYXBhbiwgYW5kIG5vcnRoIHBhY2lmaWMgb2NlYW4gKG5jZWkgYWNjZXNzaW9uIDk3MDAwMjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTcwMDAyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg3Nzc0LDFdIiwidW1tIjoiW1wiY2hlbWljYWwgYW5kIHRlbXBlcmF0dXJlIHByb2ZpbGUgZGF0YSBmcm9tIGN0ZCBjYXN0cyBpbiB0aGUgZWFzdCBjaGluYSBzZWEsIHNlYSBvZiBqYXBhbiwgYW5kIG5vcnRoIHBhY2lmaWMgb2NlYW4gKG5jZWkgYWNjZXNzaW9uIDk3MDAwMjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTcwMDAyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg3Nzc0LDFdIn0%3D/gov.noaa.nodc%3A0084585_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-25 to 2010-07-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084585)", + "id": "goeswvt_1", + "title": "GOES WATER VAPOR TRANSPORT V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1987-05-05", + "end_date": "1988-11-30", + "bbox": "-120, -30, -30, 45", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995554230-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995554230-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/goeswvt_1", + "description": "The GOES Water Vapor Transport CD contains nineteen months of geostationary satellite-derived products from the GOES-8 satellite spanning the 1987-1988 El Nino Southern Oscillation (ENSO) cycle. Water vapor transport variables was derived using the Marshall Automated Winds (MAW) tracking algorithm from GOES data are provided in daily and monthly gridded and non-gridded formats. Relative humidity was calculated using a modified version of the brightness temperature to relative humidity conversion technique. Pressure heights were assigned to each wind vector using the simple IR window technique. Data are available in binary and McIDAS format. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084586_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-28 to 2010-08-09 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084586)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-07-28", - "end_date": "2010-08-09", - "bbox": "-92, 27.5, -85, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372575-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372575-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084586_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-28 to 2010-08-09 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084586)", + "id": "gone-wild-grapevines-in-forests_1.0", + "title": "Gone-wild grapevines in forests may act as a potential habitat for \u201cFlavescence dor\u00e9e\u201d phytoplasma vectors and inoculum", + "catalog": "ENVIDAT STAC Catalog", + "state_date": "2023-01-01", + "end_date": "2023-01-01", + "bbox": "8.4347534, 45.8809865, 9.2422485, 46.5159373", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082143-ENVIDAT.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3226082143-ENVIDAT.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections?cursor=eyJqc29uIjoiW1wiZ2NvcyBzd2UgZGF0YSBmcm9tIDExIHN0YXRpb25zIGluIHN3aXR6ZXJsYW5kXCIsXCJFTlZJREFUXCIsXCJnY29zLXN3ZS1kYXRhXCIsXCIxXCIsMjc4OTgxNTE2Miw2XSIsInVtbSI6IltcImdjb3Mgc3dlIGRhdGEgZnJvbSAxMSBzdGF0aW9ucyBpbiBzd2l0emVybGFuZFwiLFwiRU5WSURBVFwiLFwiZ2Nvcy1zd2UtZGF0YVwiLFwiMVwiLDI3ODk4MTUxNjIsNl0ifQ%3D%3D/gone-wild-grapevines-in-forests_1.0", + "description": "Dataset used to test the potential role of gone-wild grapevines (GWGV) in forests of Southern Switzerland as a source of Flavescence dor\u00e9e phytoplasma (FDp) inoculum and as a habitat for its main and alternative vectors, Scaphoideus titanus and Orientus ishidae. In the first phase, GWGV were located and sampled to test their FDp status. In addition, a set of chromotropic traps were placed to monitor the presence and abundance of FDp vectors. In the second phase, wood from GWGV in forests was collected and placed in cages to test the potential oviposition activity by FDp vectors. The results showed that GWGV in forests are a reservoir of FDp and that they can sustain the whole life cycle of both S.titanus and O.ishidae. Eventually, the need to adapt the current FD management strategies are highlighted.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084587_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-13 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084587)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-13", - "end_date": "2010-08-23", - "bbox": "-90.5, 28.5, -85.75, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372589-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372589-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084587_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-13 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The Hydrocarbon Sensor Array data are raw and provisional. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084587)", + "id": "gov.noaa.nodc:GHRSST-ABI_G17-STAR-L2P_2.71", + "title": "GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2019-10-16", + "end_date": "", + "bbox": "-135, -59, -15, 59", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638053-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638053-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-ABI_G17-STAR-L2P_2.71", + "description": "GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L2P/GOES17/STAR/nav. The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084588_Not Applicable", - "title": "Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-27 to 2010-09-01 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084588)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-08-27", - "end_date": "2010-09-01", - "bbox": "-90.5, 28.5, -87, 30.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372622-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372622-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0084588_Not%20Applicable", - "description": "Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-27 to 2010-09-01 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084588)", + "id": "gov.noaa.nodc:GHRSST-ABI_G17-STAR-L3C_2.71", + "title": "GHRSST NOAA/STAR GOES-17 ABI L3C America Region SST v2.71 dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2019-10-16", + "end_date": "", + "bbox": "-135, -59, -15, 59", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636950-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636950-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-ABI_G17-STAR-L3C_2.71", + "description": "The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0084994_Not Applicable", - "title": "Benthic Sampling Adjacent to the Waianae Ocean Outfall, Oahu, Hawaii, 2001-2010 (NCEI Accession 0084994)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-05-01", - "end_date": "2010-06-05", - "bbox": "-158.21, 21.421, -158.182, 21.45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372831-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372831-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0084994_Not%20Applicable", - "description": "Annual surveys are undertaken to sample bottom-sediment for biological and geochemical analyses at six stations at a depth of approximately 34 m in the vicinity of the Waianae Wastewater Treatment Plant outfall diffuser on the leeward coast of Oahu, Hawaii. All stations had sediment fractions with >90% sand. Silt fractions were no more than 4% at any station. Oxidation-reduction-potential (ORP) and total-volatile-solids measurements of these sediments indicated a nonreducing benthic environment at all stations. This data set contains examination of the sediments for species, abundance, and richness of nonmollusks, crustacean, molluscan, nematode, oligochaete, and polychaete faunas. A PDF document provides annual summaries for 2001-2010 while data files hold similar data for 2006-2009.", + "id": "gov.noaa.nodc:GHRSST-AHI_H08-STAR-L2P_2.70", + "title": "GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2019-10-16", + "end_date": "", + "bbox": "80, -59, -160, 59", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637913-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637913-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AHI_H08-STAR-L2P_2.70", + "description": "Himawari-8 (H08) was launched on 7 October 2014 into its nominal position at 140.7-deg E, and declared operational on 7 July 2015. The Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, and 12.3 um) are suitable for SST. Accurate sensor calibration, image navigation and (co)registration, high spectral fidelity, and sophisticated pre-processing (geo-rectification, radiance equalization, and mapping) offer vastly enhanced capabilities for SST retrievals, over the heritage GOES-I/P and MTSAT-2 Imagers. From altitude 35,800km, H08/AHI maps SST in a Full Disk (FD) area from 80E-160W and 60S-60N, with spatial resolution 2km at nadir to 15km at view zenith angle 67-deg, with a 10-min temporal sampling. The AHI L2P (swath) SST product is derived at the native sensor resolution using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system. ACSPO processes every 10-min FD data, identifies good quality ocean pixels (Petrenko et al., 2010) and derives SST using the four-band (8.4, 10.3, 11.2 and 12.3um) Non-Linear SST (NLSST) regression algorithm (Petrenko et al., 2014), trained against in situ SSTs from drifting and tropical mooring buoys in the NOAA iQuam system (Xu and Ignatov, 2014). The 10-min data are subsequently collated in time, to produce 1-hr L2P product, with improved coverage, and reduced cloud leakages and image noise. The collated L2P reports SSTs and brightness temperatures (BTs) in clear-sky water pixels (defined as ocean, sea, lake or river), and fill values elsewhere. All pixels with valid SSTs are recommended for use. ACSPO files also include sun-sensor geometry, l2p_flags (day/night, land, ice, twilight, and glint flags), and NCEP wind speed. The L2P is reported in NetCDF4 GHRSST Data Specification version 2 (GDS2) format, 24 granules per day, with a total data volume 0.6GB/day. Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L2P/H08/STAR/nav. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). The H08 AHI SSTs and BTs are continuously validated against in situ data in SQUAM (Dash et al, 2010), and RTM simulation in MICROS (Liang and Ignatov, 2011). A reduced size (0.2GB/day), 0.02-deg equal-angle gridded ACSPO L3C product is also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0087872_Not Applicable", - "title": "Chemical and physical oceanographic data collected from numerous vessels in the Gulf of Mexico in response to the Deepwater Horizon Oil Spill event and compiled for the Joint Analysis Group summary report: NOAA Technical Report NOS OR&R 27 (NCEI Accession 0087872)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-08", - "end_date": "2010-11-12", - "bbox": "-93.3985, 24.2521, -80.5187, 29.4874", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373192-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373192-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0087872_Not%20Applicable", - "description": "The Deepwater Horizon Joint Analysis Group (JAG) for Surface and Sub-Surface Oceanography, Oil and Dispersant Data was a working group with membership from federal agencies, BP, and academia that was formed to analyze sub-surface oceanographic data being derived from the on-going coordinated sampling efforts by private, federal and academic scientists as part of the spill response. The goal of the JAG was to provide comprehensive characterization of the Gulf of Mexico sub-surface conditions as well as the fate and transport of dispersed petroleum as a result of the Deepwater Horizon oil spill. JAG findings were published in a series of reports for the Unified Area Command as well as the public. This accession contains Total Petroleum Hydrocarbon and Volatile Organic Analysis data from laboratory analysis, as well as in situ Chromophoric Dissolved Organic Matter and dissolved oxygen data. This dataset was compiled as part of the final JAG summary report, and referred to in Appendix 3 of that report, NOAA Technical Report NOS OR&R 27 (2012).", + "id": "gov.noaa.nodc:GHRSST-AHI_H08-STAR-L3C_2.70", + "title": "GHRSST NOAA/STAR Himawari-08 AHI L3C Pacific Ocean Region SST v2.70 dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2019-10-16", + "end_date": "", + "bbox": "80, -59, -160, 59", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638013-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638013-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AHI_H08-STAR-L3C_2.70", + "description": "The ACSPO H08/AHI L3C (Level 3 Collated) product is a gridded version of the ACSPO H08/AHI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 24 granules available per 24hr interval, with a total data volume of 0.2GB/day. Valid SSTs are found over clear-sky oceans, sea, lakes or rivers, with fill values reported elsewhere. The following layers are reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST (Petrenko et al., 2016). The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0094007_Not Applicable", - "title": "Application of the Coastal and Marine Ecological Classification Standard (CMECS) Water Column Component (WC) to data derived by the Naval Research Lab (NRL) Automated Processing System (APS) modeling of Moderate Resolution Imaging Spectroradiometer (MODIS) Imagery from the Aqua Earth Orbiting Satellite (EOS) PM in the Northern Gulf of Mexico from 2005-01 to 2009-12 (NCEI Accession 0094007)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-01-01", - "end_date": "2009-12-31", - "bbox": "-98.1, 25.2, -81.1, 30.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373769-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373769-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0094007_Not%20Applicable", - "description": "Satellite-derived data for sea surface temperature, salinity, chlorophyll; euphotic depth; and modeled bottom to surface temperature differences were evaluated to assess the utility of these products as proxies for in situ measurements. The data were used to classify surface waters in three regions of the Gulf of Mexico using subcomponents and modifiers from the Coastal and Marine Ecological Classification Standard (CMECS) Water Column Component (WC) to determine if CMECS categories could be affectively used to categorize in situ data into meaningful management units. The Naval Research Laboratory at the Stennis Space Center (NRL/SSC) processed MODIS-Aqua satellite imagery covering the Gulf of Mexico from January 2005 to December 2009. Daily, level-1B image files from the NASA LAADS Web were processed through the NRL/SSC Automated Processing System (APS). Sea surface temperature and salinity were classified into CMECS WC temperature and salinity subcomponent categories, respectively.Three modifiers from the WC were also used for the pelagic classification: water column stability, productivity, and photic quality. Modeled bottom to surface temperature differences were used to assign classification for water column stability, surface chlorophyll was used to determine productivity, and euphotic depth was used to indicate the photic quality. Maps showing the CMECS Water Column Component classes for chlorophyll concentration, euphotic depth, sea surface salinity, sea surface temperature (HDF4), and bottom-to-surface temperatures (netCDF) were produced from the APS output images.", + "id": "gov.noaa.nodc:GHRSST-AMSR2-REMSS-L2P_8a", + "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2014-10-28", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637254-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637254-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AMSR2-REMSS-L2P_8a", + "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR2 instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"_rt_\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v08\" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0099263_Not Applicable", - "title": "Cephalopholis argus fish census and assemblage data from the West Hawaii Roi Removal Project 2010-2012 (NCEI Accession 0099263)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-11-01", - "end_date": "2012-07-22", - "bbox": "-155.841, 19.97524, -155.833, 19.98452", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374766-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374766-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0099263_Not%20Applicable", - "description": "This project examined the results of the field manipulative experiment that has been set up to test the ecological effects of introduced roi on reef fish associations in West Hawaii. This on-going research project, which began in September 2010, evaluates the impact of roi removal by collaborating with local fishers to remove >90% of the roi from a patch reefs in Puako, West Hawaii. In situ observations of the introduced predatory grouper roi (Cephalopholis argus) were taken semi-annually within the coral reef ecosystem of Puako, northwest side of the Island of Hawaii October 2010 - July 2012. Visual fish transects were made at a depth range of 10-20 m. Tow board and standard visual belt transects were employed at control, reference, and treatment sites. Data include biometrics (length and weight) and biomass of roi, as well as an assemblage of other fish and feed guilds. Additional data on the movement of roi within the Puako area were collected using a fish tagging program followed by surveys for recapture and resighting. NODC Accession 0082197 contains similar data from November 2010 - June 2011. There is some overlap of data within 0082197 and the present accession.", + "id": "gov.noaa.nodc:GHRSST-AMSR2-REMSS-L3U_8a", + "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2018-10-02", + "end_date": "", + "bbox": "-179, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638049-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638049-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-AMSR2-REMSS-L3U_8a", + "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"rt\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v8\" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final \"v8\" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 2 days.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0110496_Not Applicable", - "title": "Carbon Isotope (d13C) in dissolved inorganic carbon and other physical and biogeochemical variables synthesized across the global ocean from February 17, 1991 to February 21, 2005 (NCEI Accession 0110496)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-02-17", - "end_date": "2005-02-21", - "bbox": "139.836, -70.9995, 120, 75.369", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372898-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372898-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0110496_Not%20Applicable", - "description": "Measurements of d13C in DIC were compiled mainly from WOCE and CLIVAR cruises. The dataset also contains other physical and biogeochemical variables.", + "id": "gov.noaa.nodc:GHRSST-AMSRE-REMSS-L2P_7.0", + "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2002-06-01", + "end_date": "2011-10-04", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638226-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638226-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AMSRE-REMSS-L2P_7.0", + "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"_rt_\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7\" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0110657_Not Applicable", - "title": "AVHRR Pathfinder version 5.0 global 4km sea surface temperature (SST) cloud-screened monthly climatologies for 1985-2006 (NCEI Accession 0110657)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-01-01", - "end_date": "2006-12-31", + "id": "gov.noaa.nodc:GHRSST-AMSRE-REMSS-L3U_7a", + "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2010-08-09", + "end_date": "2011-10-04", "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372907-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372907-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0110657_Not%20Applicable", - "description": "This accession contains a global, 4km monthly sea surface temperature climatology derived from harmonic analysis of the AVHRR Pathfinder Version 5.0 sea surface temperature time series data for 1985-2006. The climatology is available as 12 separate files, each representing one month in a climatological year. The files are in hdf format. In addition to climatological sea surface temperature, each file contains standard deviation. It only uses Pathfinder 5.0 data with a quality flag value of 4 or greater. It is available as 12 separate files in Hierarchical Data Format Version 4 (HDF4).", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636928-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636928-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDNjIHN1Yi1za2luIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGdlb3N0YXRpb25hcnkgb3BlcmF0aW9uYWwgZW52aXJvbm1lbnRhbCBzYXRlbGxpdGVzIChnb2VzIDEzKSBpbWFnZXIgaW4gZWFzdCBwb3NpdGlvbiBwcm9kdWNlZCBieSBvc2kgc2FmIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtR09FUzEzLU9TSVNBRi1MM0NcIixcIjFcIiwyMjEzNjQxNzExLDFdIiwidW1tIjoiW1wiZ2hyc3N0IGxldmVsIDNjIHN1Yi1za2luIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGdlb3N0YXRpb25hcnkgb3BlcmF0aW9uYWwgZW52aXJvbm1lbnRhbCBzYXRlbGxpdGVzIChnb2VzIDEzKSBpbWFnZXIgaW4gZWFzdCBwb3NpdGlvbiBwcm9kdWNlZCBieSBvc2kgc2FmIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtR09FUzEzLU9TSVNBRi1MM0NcIixcIjFcIiwyMjEzNjQxNzExLDFdIn0%3D/gov.noaa.nodc%3AGHRSST-AMSRE-REMSS-L3U_7a", + "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"_rt_\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7\" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0115356_Not Applicable", - "title": "Atlantic Offshore Seabird Dataset Catalog, Atlantic Coast and Outer Continental Shelf, from 1938-01-01 to 2013-12-31 (NCEI Accession 0115356)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1938-01-01", - "end_date": "2013-12-31", - "bbox": "-99.8626, 23.3786, -51.935, 64.9086", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374711-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089374711-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0115356_Not%20Applicable", - "description": "Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. As of December 2013, the database contains over 70 datasets from 1906-2013 with about 300,000 records of seabird observations. The data archived at NODC is comprised of roughly 50 datasets from 1938-2013 with about 260,000 observation records. This archive is a subset of the main database, excluding datasets from surveys where the scientific design was not specifically designed to sample marine birds (e.g. coastal portions of National Audubon Society's Christmas Bird Counts). The full archive of scientific data contains information on individual observations as well as survey effort. Each observation record has a unique point location, date and time, species and observation count. There may also be biological information related to the sighting, such as animal age or behavior. The survey effort information (i.e. weather variables) may have been recorded for each individual observation but was more often recorded at the transect (line along which the plane or boat traveled) level. The dataset contains data primarily for seabirds, but some other observations accompanied bird data submissions and were not discarded: marine mammals, turtles, fish, and non-biological sightings such as other boats, fishing gear and trash. The data archived at the NODC is in .csv format, with an associated file detailing the data structure in .csv format. A detailed metadata record in Federal Geographic Data Committee (FGDC) format and a final report in .pdf format is included with these data. Data use must take into account use constraints (data limitations) listed within the included metadata record, and cite the Atlantic Offshore Seabird Dataset Catalog, USGS, 2013.", + "id": "gov.noaa.nodc:GHRSST-AVHRR18_G-NAVO-L2P_1.0", + "title": "GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite produced by NAVO (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-01-25", + "end_date": "2018-05-14", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638044-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638044-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR18_G-NAVO-L2P_1.0", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched 20 May 2005) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. This particular dataset is produced from GAC data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0116100_Not Applicable", - "title": "Biological Data for Biological Baseline Studies of Mobile Bay: Benthic Fauna 1980-1981 (NCEI Accession 0116100)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-04-03", - "end_date": "1981-02-26", - "bbox": "-88.17333, 30.23833, -87.85167, 30.61333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375644-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375644-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0116100_Not%20Applicable", - "description": "Beginning in late 1979, the Alabama Coastal Area Board (CAB) funded a series of baseline surveys on the coastal resources of Alabama, from which they could develop a monitoring program to observe any significant changes in the resources over time. Eight stations within Mobile Bay, Alabama were sampled monthly from April 1980 to April 1981. Data collected included samples for benthic fauna, pelagic fauna, sediment particle size, total organic carbon, foraminifera, zooplankton, phytoplankton, chlorophyll, turbidity, river flow, and hydrographic parameters. The subset of data presented here are for the benthic fauna, which were sampled by 0.1 m^2 Peterson grab. Fauna were enumerated and identified to the lowest taxon possible, and mainly included crustaceans, molluscs, polychaetes, and echinoderms. Data in readily accessible digital form are available from April 1980 to February 1981.", + "id": "gov.noaa.nodc:GHRSST-AVHRR19_G-NAVO-L2P_1", + "title": "GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 satellite produced by NAVO (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-10-05", + "end_date": "2021-01-06", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639455-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639455-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR19_G-NAVO-L2P_1", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. This particular dataset is produced from GAC data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0116390_Not Applicable", - "title": "Chemical and Physical Data of the Coastal Environment in Mobile Bay, Alabama collected by Citizen Monitoring from January 1991 to December 1993 (NCEI Accession 0116390)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-01-02", - "end_date": "1993-12-29", - "bbox": "-88.1683, 30.2718, -87.45, 30.8335", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375708-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375708-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0116390_Not%20Applicable", - "description": "The Water Quality Act of 1987 established the National Estuary Program, which has as one of its objectives the formation of citizen groups for monitoring the quality of coastal waters. One such group that formed to monitor Mobile Bay was called Baywatch. Under the guidance of Dr. George Crozier of the Dauphin Island Sea Lab (DISL), and in association with the Mobile Field Office of the Alabama Department of Environmental Management (ADEM), citizens were trained to collect and analyze water samples once a week between 10am and 2pm for 50 stations located in the Mobile Bay delta, Mississippi Sound, Weeks Bay, Perdido Bay, and several local streams. Parameters measured included water temperature, salinity, dissolved oxygen, turbidity, air temperature, and rainfall. Water temperature, salinity, and dissolved oxygen were measured from both surface and bottom waters where possible. The purpose of this study was to provide a better understanding of the processes affecting the waters of coastal Alabama.", + "id": "gov.noaa.nodc:GHRSST-AVHRR19_L-NAVO-L2P_1", + "title": "GHRSST Level 2P Regional 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 satellite produced by NAVO (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-08-26", + "end_date": "2021-01-06", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637930-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637930-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIG5vcnRoIGF0bGFudGljIHJlZ2lvbmFsIGJ1bGsgc2VhIHN1cmZhY2UgdGVtcGVyYXR1cmUgZnJvbSB0aGUgYWR2YW5jZWQgdmVyeSBoaWdoIHJlc29sdXRpb24gcmFkaW9tZXRlciAoYXZocnIpIG9uIHRoZSBub2FhLTE4IHNhdGVsbGl0ZSBwcm9kdWNlZCBieSBuZW9kYWFzIChnZHMgdmVyc2lvbiAxKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtTkVPREFBUy1MMlAtQVZIUlIxOF9MXCIsXCIxXCIsMjIxMzY0MTM4MSwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBub3J0aCBhdGxhbnRpYyByZWdpb25hbCBidWxrIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGFkdmFuY2VkIHZlcnkgaGlnaCByZXNvbHV0aW9uIHJhZGlvbWV0ZXIgKGF2aHJyKSBvbiB0aGUgbm9hYS0xOCBzYXRlbGxpdGUgcHJvZHVjZWQgYnkgbmVvZGFhcyAoZ2RzIHZlcnNpb24gMSlcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU5FT0RBQVMtTDJQLUFWSFJSMThfTFwiLFwiMVwiLDIyMTM2NDEzODEsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR19_L-NAVO-L2P_1", + "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0117507_Not Applicable", - "title": "Biological, physical, and chemical data collected from inshore and shelf surface waters in Alabama from 2009-07 to 2011-12 (NCEI Accession 0117507)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-07-01", - "end_date": "2011-12-31", - "bbox": "-88.2116, 29.79887, -88.0113, 30.4374", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372460-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372460-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0117507_Not%20Applicable", - "description": "Quantifying the linkages between primary production and higher trophic levels is necessary to understand why particular regions can support high fisheries production. Modified dilution experiments were employed to characterize microbial communities in surface waters at four sites from within a bay to the shelf in the northern Gulf of Mexico (nGOM). Inshore surface waters were more variable than shelf surface waters due to the strong influence of river discharge. Phytoplankton (Chl a) and prokaryote biomass were both significantly higher inshore than on the shelf, with phytoplankton significantly higher than prokaryotes inshore. Virus and heterotrophic nanoflagellate abundances, however, did not differ between inshore and shelf waters. Samples were amended with nutrients (N + P) to examine the impact of nutrient limitation. Prokaryotes were nutrient limited in 14 (28%) of the experiments, while phytoplankton were nutrient limitated in 26 (52%) of the experiments. When phytoplankton were nutrient limited, prokaryote growth rates were significantly altered. A similar impact on phytoplankton growth rates occurred when prokaryotes were nutrient limited, suggesting that the two groups are in competition for resources. Grazing was detected in the majority of experiments, while viral lysis was only detected in 24% of phytoplankton and 12% of prokaryote experiments. Growth and grazing rates for both phytoplankton and prokaryotes were tightly coupled inshore and on the shelf, with significantly more phytoplankton and prokaryotes grazed inshore (average = 106% and 75%, respectively) than on the shelf (average = 55% and 57%). These findings indicate that surface waters across the estuary are highly productive, with microzooplankton grazing transferring the majority of the microbial production to higher trophic levels.", + "id": "gov.noaa.nodc:GHRSST-AVHRRF_MA-STAR-L2P_2.80", + "title": "GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2021-06-01", + "end_date": "2021-11-14", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638222-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638222-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MA-STAR-L2P_2.80", + "description": "The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. MetOp-A launched on 19 October 2006 is the first in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346). The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0117516_Not Applicable", - "title": "Biological, physical, and chemical data from trawl surveys in coastal waters of Alabama and Mississippi from 28 Apr 2010 to 13 Oct 2011 (NCEI Accession 0117516)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-04-28", - "end_date": "2011-10-13", - "bbox": "-88.6, 30.1, -87.7, 30.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372472-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372472-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0117516_Not%20Applicable", - "description": "Fishes and macroinvertebrates were collected using a 12.8m semi-balloon trawl with 5cm mesh in spring and fall of 2010 and 2011 in the coastal waters of Alabama and Mississippi. All species were identified to the lowest possible taxonomic level and counted. A wet weight estimate of total biomass (+ grams) was attained for each species using portable spring scales. Finfish collected in 2010 were measured for length (standard, fork, and/or total as appropriate).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0117688_Not Applicable", - "title": "Baseline Data Collection Experimental Monitoring Program (MESC-COE Gaillard Island 1977-1982): Hydrography, Sediments, and Benthic Fauna (NCEI Accession 0117688)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-11-03", - "end_date": "1982-08-25", - "bbox": "-88.071, 30.27, -87.573, 30.776", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372626-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372626-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0117688_Not%20Applicable", - "description": "Data from a set of studies that ran from 1977-1978, and 1980-1982, around the site of Gaillard Island, Mobile Bay, Alabama, before, during, and after its construction (1979-1981). Extant data from the MESC Data Management System include sediment particle size distribution (001), identification and enumeration of benthic fauna (002), discrete hydrography and turbidity (003) during and after island construction, and discrete hydrography and turbidity before island construction (004).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0117942_Not Applicable", - "title": "Biological, chemical, and physical data from the Phytoplankton Monitoring Network from 2001-09-13 to 2013-03-07 (NCEI Accession 0117942)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-09-13", - "end_date": "2013-03-07", - "bbox": "-156.459, 18.35023, -64.8654, 59.7255", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372883-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089372883-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0117942_Not%20Applicable", - "description": "The Phytoplankton Monitoring Network (PMN) is a part of the National Centers for Coastal Ocean Science (NCCOS). The PMN was created as an outreach program to connect volunteers and professional scientists in the monitoring of marine phytoplankton and harmful algal blooms (HABs). NOAA staff train volunteers on sampling techniques and identification methods for marine phytoplankton. There are over 50 genera, including 10 potentially toxin producing genera, of dinoflagellates and diatoms on the volunteers watch list. A qualitative collection of data that includes salinity, temperature, depth, wind speed and direction, phytoplankton counts and abundance ratios obtained from surface tows in the estuarine and marine environments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0118497_Not Applicable", - "title": "Benthic sediment data from eleven stations in the Mobile-Tensaw River Delta, Alabama on 1981-06-17 (NCEI Accession 0118497)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-06-17", - "end_date": "1981-06-17", - "bbox": "-88.073, 30.696, -87.97, 31.117", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373081-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373081-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0118497_Not%20Applicable", - "description": "Benthic sediment samples were collected from eleven stations in the Mobile-Tensaw River Delta on 17 June 1981. Samples were analyzed for particle size distribution characteristics. At least eight were near the wastewater discharge pipes of industrial sites, and at least two were not near potential sources of water pollution.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0118498_Not Applicable", - "title": "Assimilation of Oil-Derived Elements by Oysters Due to the Deepwater Horizon Oil Spill in 2010 (NCEI Accession 0118498)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2008-06-30", - "end_date": "2010-10-07", - "bbox": "-88.46327, 30.23994, -87.51488, 30.40594", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373091-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373091-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0118498_Not%20Applicable", - "description": "This dataset contains stable isotope ratios of carbon and nitrogen in oyster shell, suspended particulate matter (SPM), and oil from the Deepwater Horizon oil spill. Shell material was sampled from oysters grown at five sites along the Mississippi-Alabama coast and in Mobile Bay before, during, and after the spill (June 2008, April-July 2010). Samples of SPM were collected from the same or equivalent sites and timeframes. Oil samples came from tar balls, mats, and semisolid oil forms collected from sediments along the shoreline from the Florida-Alabama border to Petit Bois Island in Mississippi. For all samples, the stable isotope ratios of carbon and nitrogen were determined. Oyster shell samples were also analyzed for six trace and minor elements which have been highlighted for use in detection of hydrocarbon pollution (Cd, Co, Mo, Ni, Pd, V).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0118500_Not Applicable", - "title": "Biological and physical geospatial data from St. Croix East End Marine Park, U.S. Virgin Islands from 6 Feb 2001 to 18 May 2012 (NCEI Accession 0118500)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2001-02-06", - "end_date": "2012-05-18", - "bbox": "-64.9199, 17.6376, -64.4514, 17.8271", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373110-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373110-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0118500_Not%20Applicable", - "description": "The National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment, Biogeography Branch (CCMA-BB) worked with partners to assess and characterize the marine environment in and around the St. Croix East End Marine Park. The Park was established in 2003. At the time of creation there were substantial data gaps hindering baseline establishments to measure performance of the management zones. NCCOS and territorial partners characterized the land and seascape conditions and the marine communities within the park zones. These characterizations revealed relevant threats to the coral reef ecosystem health and are essential for management actions. Relating data collected in the field back to habitat and bathymetric maps, CCMA-BB is then able to model and map species level and community level information. Data within this set contain Acropora species, Nassau grouper, and other fauna of special concern (i.e. conch, sea urchins, lobster, and the lionfish). There is also data containing benthic habitat survey zones and analyses, land characterization (such as dirt road location, land development index, and landcover data), fish richness, and the overall impact on the Park. Data is in geospatial maps and tables with associated metadata.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0118680_Not Applicable", - "title": "Biological and chemical data determined in mesocosm experiments by Dauphin Island Sea Lab in June and August of 2011 (NCEI Accession 0118680)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2011-06-01", - "end_date": "2011-09-01", - "bbox": "-88.080239, 30.243423, -88.080239, 30.243423", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373185-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373185-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0118680_Not%20Applicable", - "description": "Abundances of viruses, prokaryotes, diatoms, dinoflagellates, ciliates and heterotrophic nanoflagellates were determined over time in mesocosm experiments measuring the effects of oil, dispersant and dispersed oil on the microbial loop. Two separate experiments were carried out in June and August 2011. Abundances in the treated mesocosms were compared to a no addition control and a glucose addition control.", + "id": "gov.noaa.nodc:GHRSST-AVHRRF_MA-STAR-L3U_2.80", + "title": "GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2021-06-01", + "end_date": "2021-11-14", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638227-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638227-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MA-STAR-L3U_2.80", + "description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite A (Metop-A) Advanced Very High Resolution Radiometer 3 (AVHRR/3) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-A AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MA-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0118720_Not Applicable", - "title": "Biological, chemical, and physical data collected in Delaware Bay from 1997-09-02 to 1997-10-08 (NCEI Accession 0118720)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-09-02", - "end_date": "1997-10-08", - "bbox": "-75.6082, 38.5167, -74.723, 40.147", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373222-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089373222-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0118720_Not%20Applicable", - "description": "This study was based on the sediment quality triad (SQT) approach. A stratified probabilistic sampling design was utilized to characterize the Delaware Bay system in terms of chemical contamination, sediment toxicity (Microtox, amphipod bioassay; sea urchin gamete bioassay; and P450 biomarker) and benthic infaunal community structure. The purpose was to define the extent and magnitude of toxicity and other biological effects associated with contaminants in the Delaware estuary system from the fall line to the mouth of the Bay. This file contains data measured in the Delaware Bay Estuary and adjacent waters during 1997. Samples were collected for water and sediment analyses.", + "id": "gov.noaa.nodc:GHRSST-AVHRRF_MB-STAR-L2P_2.80", + "title": "GHRSST NOAA/STAR Metop-B AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2021-06-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636832-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636832-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MB-STAR-L2P_2.80", + "description": "The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. Metop-B launched on 17 September 2012 is the second in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346). The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0124257_Not Applicable", - "title": "Baseline characterization of benthic and coral communities of the Flower Garden Banks, Texas from 2010-05-01 to 2012-08-31 (NCEI Accession 0124257)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-05-01", - "end_date": "2012-08-31", - "bbox": "-93.87, 27.82, -93.57, 27.99", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375884-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089375884-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0124257_Not%20Applicable", - "description": "This study utilized ROV photograph transects to quantify benthic habitat and coral communities among the five habitat types (algal nodule, coralline algal reefs, deep reefs and soft bottom) identified in the Flower Garden Banks National Marine Sanctuary (FGBNMS). ROV surveys were conducted in the mid and lower mesophotic zone of the sanctuary (17-150 m) on both the East Bank and the West Bank. The FGBNMS represents the northernmost tropical western Atlantic coral reef on the continental shelf and support the most highly developed offshore hard bank community in the region. The complexity of habitats supports a diverse assemblage of organisms including approximately 250 species of fish, 23 species of coral, and 80 species of algae in addition to large sponge communities. Understanding and monitoring these resources is critical to both sanctuary inventory and management activities. During the course of the sanctuary\u00c2\u0092s management plan review process, the impact of fishing was identified as a priority issue, and the concept of a research only area was suggested. The purpose of this project is to provide baseline data for all benthic habitats and coral communities.", + "id": "gov.noaa.nodc:GHRSST-AVHRRF_MB-STAR-L3U_2.80", + "title": "GHRSST NOAA/STAR Metop-B AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2021-06-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636910-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636910-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MB-STAR-L3U_2.80", + "description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite B (Metop-B) Advanced Very High Resolution Radiometer 3 (AVHRR/3) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-B AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MB-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0125596_Not Applicable", - "title": "Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2009-03-18 to 2012-12-10 (NCEI Accession 0125596)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-03-18", - "end_date": "2012-12-10", - "bbox": "-51.493, -34.504, -44.498, -34.499", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376227-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376227-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0125596_Not%20Applicable", - "description": "Not provided", + "id": "gov.noaa.nodc:GHRSST-AVHRRF_MC-STAR-L2P_2.80", + "title": "GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2021-06-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636948-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636948-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MC-STAR-L2P_2.80", + "description": "The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. Metop-C launched on 7 November 2018 is the third and last in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346). The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0125597_Not Applicable", - "title": "Acoustic travel time, bottom pressure, and near bottom current velocities from inverted echo sounders in the Atlantic Ocean from 2004-09-27 to 2016-02-25 (NCEI Accession 0125597)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-09-27", - "end_date": "2016-02-25", - "bbox": "-76.84, 26.491, -72.004, 26.516", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376235-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376235-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0125597_Not%20Applicable", - "description": "Not provided", + "id": "gov.noaa.nodc:GHRSST-AVHRRF_MC-STAR-L3U_2.80", + "title": "GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2021-06-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636849-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636849-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MC-STAR-L3U_2.80", + "description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite C (Metop-C) Advanced Very High Resolution Radiometer 3 (AVHRR/3) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-C AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MC-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0127525_Not Applicable", - "title": "Abundance and behavior of parrotfishes (Labridae, Scarinae) in the upper Florida Keys from 2013-06-19 to 2013-07-30 (NCEI Accession 0127525)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2013-06-19", - "end_date": "2013-07-30", - "bbox": "-80.38, 25, -80.21, 25.22", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376534-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376534-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYSB1bmlmaWVkLCBsb25nLXRlcm0sIGNhcmliYmVhbi13aWRlIGluaXRpYXRpdmUgdG8gaWRlbnRpdHkgdGhlIGZhY3RvcnMgcmVzcG9uc2libGUgZm9yIHN1c3RhaW5pbmcgbWFuZ3JvdmUgd2V0bGFuZCwgc2VhZ3Jhc3MgbWVhZG93LCBhbmQgY29yYWwgcmVlZiBwcm9kdWN0aXZpdHksIGZlYnJ1YXJ5IDE5OTMgLSBvY3RvYmVyIDE5OTggKG5jZWkgYWNjZXNzaW9uIDAwMDA1MDEpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDUwMVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc1MzQxLDFdIiwidW1tIjoiW1wiYSB1bmlmaWVkLCBsb25nLXRlcm0sIGNhcmliYmVhbi13aWRlIGluaXRpYXRpdmUgdG8gaWRlbnRpdHkgdGhlIGZhY3RvcnMgcmVzcG9uc2libGUgZm9yIHN1c3RhaW5pbmcgbWFuZ3JvdmUgd2V0bGFuZCwgc2VhZ3Jhc3MgbWVhZG93LCBhbmQgY29yYWwgcmVlZiBwcm9kdWN0aXZpdHksIGZlYnJ1YXJ5IDE5OTMgLSBvY3RvYmVyIDE5OTggKG5jZWkgYWNjZXNzaW9uIDAwMDA1MDEpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDUwMVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc1MzQxLDFdIn0%3D/gov.noaa.nodc%3A0127525_Not%20Applicable", - "description": "To better understand the functional roles of parrotfishes on Caribbean coral reefs we documented abundance, habitat preferences, and diets of nine species of parrotfishes (Scarus coelestinus, Scarus coeruleus, Scarus guacamaia, Scarus taeniopterus, Scarus vetula, Sparisoma aurofrenatum, Sparisoma chrysopterum, Sparisoma rubripinne, Sparisoma viride) on three high-relief spur-and-groove reefs (Molasses, Carysfort, and Elbow) offshore of Key Largo in the Florida Keys National Marine Sanctuary. On each reef, we conducted fish surveys, behavioral observations, and benthic surveys in three habitat types: high-relief spur and groove (depth 2 - 6 m), low-relief carbonate platform/hardbottom (depth 4 - 12 m), and carbonate boulder/rubble fields (depth 4 - 9 m). In addition, fish surveys were also conducted on a fourth high-relief spur-and-groove reef (French). We estimated parrotfish abundance in each of the three habitat types in order to assess the relative abundance and biomass of different species and to quantify differences in habitat selection. To estimate parrotfish density, we conducted 20 to 30 minute timed swims while towing a GPS receiver on a float on the surface to calculate the amount of area sampled. During a swim the observer would swim parallel with the habitat type being sampled and count and estimate the size to the nearest cm of all parrotfishes greater than or equal to 15 cm in length that were encountered in a 5 m wide swath. To quantify parrotfish behavior, approximately six individuals of each species were observed at each site for 20 min each. Foraging behavior was recorded by a SCUBA diver while towing a GPS receiver (Garmin GPS 72) attached to a surface float, which obtained position fixes of the focal fish at 15 s intervals. Fish were followed from a close distance (~ 2 m when possible), and food items were identified to the lowest taxonomic level possible, with macroalgae and coral usually identified to genus or species. Many bites involved scraping or excavating substrate colonized by a multi-species assemblage of filamentous \u00e2\u0080\u009cturf\u00e2\u0080\u009d algae and crustose coralline algae (CCA). Thus, multiple species of filamentous algae, endolithic algae, and CCA could be harvested in a single bite, and it was impossible to determine the specific species of algae targeted. We also recorded the type of substrate targeted during each foraging bout, categorizing each substrate as one of the following: (1) dead coral, (2) coral pavement, (3) boulder, (4) rubble, or (5) ledge. Dead coral included both convex and concave surfaces on the vertical and horizontal planes of three dimensional coral skeletons (primarily dead Acropora palmata) that were attached to reef substrate. Coral pavement was carbonate reef with little topographic complexity (i.e., flat limestone pavement). Boulder was large remnants of dead mounding corals not clearly attached to the bottom and often partially buried in sand. Coral rubble consisted of small dead coral fragments (generally < 10 cm in any dimension) that could be moved with minimal force. Ledges consisted entirely of the undercut sides of large spurs in the high-relief spur and groove habitat. In order to quantify the relative abundance of different food types, we estimated the percent cover of algae, coral, and other sessile invertebrates on each of the five substrates commonly targeted by parrotfishes (dead coral, coral pavement, boulder, rubble, or ledge) in 0.5 m x 0.5 m photoquadrats. We photographed a total of 8 haphazardly selected quadrats dispersed throughout the study site for each substrate type at each of the three sites (N = 24 quadrats per substrate type, N = 120 quadrats total). Each photoquadrat was divided into sixteen 12 cm x 12 cm sections which were individually photographed, and percent cover was estimated from 9 stratified random points per section (N = 144 point per quadrat).", + "id": "gov.noaa.nodc:GHRSST-AVHRRMTA_G-NAVO-L2P_2.0", + "title": "GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-A satellite produced by NAVO (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2007-09-26", + "end_date": "", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637961-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637961-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRMTA_G-NAVO-L2P_2.0", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-A (MetOp-A) satellite. The SST data in this dataset are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular dataset is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0128996_Not Applicable", - "title": "Benthic and biological data in the New York Bight from 2010-06-01 to 2012-05-31 (NCEI Accession 0128996)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-01", - "end_date": "2012-05-31", - "bbox": "-75, 37, -69, 42", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376996-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376996-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVhdWZvcnQgZ3lyZSBoeWRyb2dyYXBoaWMgZGF0YTogdGVtcGVyYXR1cmUsIHNhbGluaXR5IGFuZCB0cmFuc21pc3Npdml0eSBkYXRhIGZyb20gdGhlIGxvdWlzIHMgc3QuIGxhdXJlbnQgaW4gdGhlIGFyY3RpYyBvY2VhbiwgMjAwMyAtIDIwMDggKG5jZWkgYWNjZXNzaW9uIDAwNTgyNjgpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA1ODI2OFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0NzUxLDFdIiwidW1tIjoiW1wiYmVhdWZvcnQgZ3lyZSBoeWRyb2dyYXBoaWMgZGF0YTogdGVtcGVyYXR1cmUsIHNhbGluaXR5IGFuZCB0cmFuc21pc3Npdml0eSBkYXRhIGZyb20gdGhlIGxvdWlzIHMgc3QuIGxhdXJlbnQgaW4gdGhlIGFyY3RpYyBvY2VhbiwgMjAwMyAtIDIwMDggKG5jZWkgYWNjZXNzaW9uIDAwNTgyNjgpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA1ODI2OFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0NzUxLDFdIn0%3D/gov.noaa.nodc%3A0128996_Not%20Applicable", - "description": "These data sets show the distribution of key species and habitats, such as seabirds, bathymetry, surficial sediments, deep sea corals, and oceanographic habitats. NOAA\u00e2\u0080\u0099s Biogeography Branch worked with the New York Department of State (DOS) to interpret existing ecological information and create these new data sets. New York plans to integrate this information with other ecological and human use data compiled by others (for example, The Nature Conservancy, Northeast Fisheries Science Center) and apply ecosystem-based management and plan for ocean uses. Many academic, state and federal and non-governmental organization partners contributed to this project with data, analyses and reviews. Project partners included: the University of Alaska, Biology and Wildlife Department; University of Texas, Institute for Geophysics; The Nature Conservancy, Mid-Atlantic Marine Program; the National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center, and the NMFS, Deep-Sea Coral Research and Technology Program.", + "id": "gov.noaa.nodc:GHRSST-AVHRRMTB_G-NAVO-L2P_2.0", + "title": "GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-B satellite produced by NAVO (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2013-12-12", + "end_date": "", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638432-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638432-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIGdsb2JhbCBzZWEgc3VyZmFjZSBza2luIHRlbXBlcmF0dXJlIGZyb20gdGhlIG1vZGVyYXRlIHJlc29sdXRpb24gaW1hZ2luZyBzcGVjdHJvcmFkaW9tZXRlciAobW9kaXMpIG9uIHRoZSBuYXNhIGFxdWEgc2F0ZWxsaXRlIChnZHMgdmVyc2lvbnMgMSBhbmQgMilcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU1PRElTX0EtSlBMLUwyUFwiLFwiMjAxOS4wXCIsMjIxMzY0MjYyMCwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBnbG9iYWwgc2VhIHN1cmZhY2Ugc2tpbiB0ZW1wZXJhdHVyZSBmcm9tIHRoZSBtb2RlcmF0ZSByZXNvbHV0aW9uIGltYWdpbmcgc3BlY3Ryb3JhZGlvbWV0ZXIgKG1vZGlzKSBvbiB0aGUgbmFzYSBhcXVhIHNhdGVsbGl0ZSAoZ2RzIHZlcnNpb25zIDEgYW5kIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1NT0RJU19BLUpQTC1MMlBcIixcIjIwMTkuMFwiLDIyMTM2NDI2MjAsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRMTB_G-NAVO-L2P_2.0", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-B (MetOp-B) satellite. The SST data in this dataset are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular dataset is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0129395_Not Applicable", - "title": "Chlorophyll accessory pigments collected from NOAA Ship OSCAR ELTON SETTE in North Pacific Ocean from 2008-03-01 to 2011-04-01 (NCEI Accession 0129395)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2008-03-01", - "end_date": "2011-04-01", - "bbox": "-158, 26, -158, 36", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377189-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377189-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0129395_Not%20Applicable", - "description": "These data represent the chlorophyll accessory pigments measured from discrete depth water samples collected in CTD-mounted 10 liter Niskin bottles as part of NOAA surveys in the central North Pacific Ocean north of Hawaii. Accessory pigments were measured post-survey at the University of Hawaii using HPLC methods.", + "id": "gov.noaa.nodc:GHRSST-AVHRRMTC_G-NAVO-L2P_2.0", + "title": "GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-C satellite produced by NAVO (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2020-06-10", + "end_date": "", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636912-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636912-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRMTC_G-NAVO-L2P_2.0", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-C (MetOp-C) satellite. The SST data in this dataset are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular dataset is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0130065_Not Applicable", - "title": "Chlorophyll A, hydrostatic pressure, and water density measurements collected from New Horizon in Gulf of California and North Pacific Ocean from 2004-07-14 to 2008-08-06 (NCEI Accession 0130065)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2004-07-14", - "end_date": "2008-08-06", - "bbox": "-120.5, 20.48, -106.48, 32.52", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377812-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377812-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0130065_Not%20Applicable", - "description": "Extracted chlorophyll A, normalized to filtered volume, from suspended particulate material collected via Niskin bottle from the Gulf of California in the summers of 2004, 2005, and 2008, as well as from the Eastern Tropical North Pacific in 2008.", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A-OSISAF-L2P_1", + "title": "GHRSST Level 2P sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2014-07-22", + "end_date": "2016-11-23", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213646794-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213646794-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_A-OSISAF-L2P_1", + "description": "A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) satellite (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This product is delivered at full resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0130929_Not Applicable", - "title": "AFSC/REFM: Isolation by distance (IBD) Alaskan fish stock structure modeling (NCEI Accession 0130929)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2012-01-01", - "bbox": "170, 50, -160, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378414-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378414-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0130929_Not%20Applicable", - "description": "This model study examines several management strategies for two marine fish species subject to isolation-by-distance (IBD): Pacific cod in the Aleutian Islands (AI) and northern rockfish in the Eastern Bering Sea (EBS) and Aleutian Islands. A one-dimensional stepping stone model was used to model isolation by distance, and was intended to mimic regions where marine species are exploited along a continental shelf. The performance of spatial assessment and management methods depended on how the range was split. Splitting anywhere within the managed area led to fewer demes falling below target and threshold biomass levels and higher yield than managing the entire area as a single unit. Equilibrium yield was maximized when each deme was assessed and managed separately and under catch cascading, in which harvest quotas within a management unit are spatially allocated based upon the distribution of survey biomass. The longer-lived rockfish declined more slowly than Pacific cod, and experienced greater depletion in biomass under disproportionate fishing effort due to lower productivity. Overall, splitting a management area of the size simulated in the model improved performance measures, and the optimal management strategy grouped management units by demes with similar relative fishing effort.", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A_GLB-OSISAF-L3C_1", + "title": "GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2013-07-26", + "end_date": "2016-02-23", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636900-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636900-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_A_GLB-OSISAF-L3C_1", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0131425_Not Applicable", - "title": "Bowhead Whale Feeding Ecology Study (BOWFEST): Aerial Survey in Chukchi and Beaufort Seas conducted from 2007-08-23 to 2011-09-16 (NCEI Accession 0131425)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-08-23", - "end_date": "2011-09-16", - "bbox": "-157.33, 70.79, -151.84, 72.05", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378614-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378614-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0131425_Not%20Applicable", - "description": "The Bowhead Whale Feeding Ecology Study (BOWFEST) was initiated in May 2007 through an Interagency Agreement between the Bureau of Ocean Energy Management (BOEM) (formerly Minerals Management Service (MMS)) and the National Marine Mammal Laboratory (NMML). This was a multi-disciplinary study involving oceanography, acoustics, tagging, stomach sampling and aerial surveys and included scientists from a wide range of institutions (Woods Hole Oceanographic Institution (WHOI), University of Rhode Island (URI), University of Alaska Fairbanks (UAF), University of Washington (UW), Oregon State University (OSU), North Slope Borough (NSB), and NMML. The data described and presented here are only from the aerial survey component of this larger study. The focus of the aerial survey was to document patterns and variability in the timing and locations of bowhead whales. Using a NOAA Twin Otter, scientists from NMML conducted aerial surveys from mid-August to mid-September during this five year study between years 2007-2011. Surveys were conducted in the BOWFEST study area (continental shelf waters between 157 degree W and 152 degree W and from the coastline to 72 degree N, with most of the effort concentrated between 157 degree W and 154 degree W and between the coastline and 71 degree 44'N).", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A_NAR-OSISAF-L3C_1", + "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS and Metop-A/AVHRR produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2014-07-21", + "end_date": "2016-11-22", + "bbox": "-76.02, 23.59, 72.97, 78.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637047-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637047-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_A_NAR-OSISAF-L3C_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0131862_Not Applicable", - "title": "Cetacean line-transect survey conducted in the eastern Bering Sea shelf by Alaska Fisheries Science Center, National Marine Mammal Laboratory from NOAA Ship Miller Freeman from 1999-07-07 to 2004-06-30 (NCEI Accession 0131862)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-07-07", - "end_date": "2004-06-30", - "bbox": "-178.9167, 53.9212, -153.451, 63.0152", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378822-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378822-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0131862_Not%20Applicable", - "description": "Visual surveys for cetaceans were conducted on the eastern Bering Sea shelf along transect lines, in association with the AFSC\u00e2\u0080\u0099s echo integration trawl surveys for walleye pollock. Surveys in 2000 and 2004 were from early June to early July, the survey in 2002 was from early June to late July, and the survey in 1999 was from early July to early August. Searches for cetaceans were conducted from the flying bridge of NOAA Ship Miller Freeman at a platform height of 12 m above the sea surface and survey speed of 18.5 22.0 km/h (10 12 kts). North south transect lines were spaced 37 km apart and defined by the historical acoustic survey for walleye pollock. Insufficient funding precluded including cetacean observers on all legs except in 2002. See Friday et al. 2012. Cetacean distribution and abundance in relation to oceanographic domains on the eastern Bering Sea shelf: 1999-2004 (http://www.sciencedirect.com/science/article/pii/S0967064512000100).", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B-OSISAF-L2P_1", + "title": "GHRSST Level 2P sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2016-02-20", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637938-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637938-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_B-OSISAF-L2P_1", + "description": "A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This product is delivered at full resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0133936_Not Applicable", - "title": "Beluga whales aerial survey conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 1993-06-02 to 2014-06-12 (NCEI Accession 0133936)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-06-02", - "end_date": "2014-06-12", - "bbox": "-154.28, 58.82, -148.96, 61.63", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379076-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379076-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0133936_Not%20Applicable", - "description": "The National Marine Fisheries Service (NMFS) has conducted aerial counts of Cook Inlet beluga whales (Delphinapterus leucas) from 1993 to 2014 (excluding 2013). Nearly all counts were conducted during the month of June. The routine nature of these counts and the consistency in research protocol lend themselves to inter-annual trend analyses. Beginning in 2005, an aerial survey was added during the month of August to document calving groups within the upper Inlet (north of East and West Foreland). Research protocol has been based on paired observers on the shoreward side of the aircraft and a single observer and computer operator on the offshore side independently searching for marine mammals. Data on environmental conditions, time, location, species, and inclinometer angle were collected for each sighting. The counting protocol included multiple passes near each beluga group while simultaneously collecting video footage. The counting system and observer performance has been tested through paired, independent observational effort. Aerial observer counts are used to calculate median counts for each beluga group to provide a daily index for the population prior to calculating the abundance estimate. Video has been used to count the number of animals in the group to correct for missed animals in the observer counts (perception bias). One video camera had a lens set at a wide angle to view the entire beluga group while the second video camera was zoomed to approximately 10x to magnify a subsample of individual whales in the group. The zoomed video has been used to examine color ratios of white adults relative to smaller and darker juveniles and calves and correct for those individuals missed due to their size or coloration. Aerial counts and video footage of beluga whales provide the fundamental data used to calculate the abundance of and a calving index for the Cook Inlet population. The abundance estimates are applied to trends analyses to determine the status of the stock. Three datasets are included here that contain basic survey data such as latitude, longitude and sightings, as well as the counts of beluga whale groups made by the aerial observers and the results from video analysis from data collected on surveys from 1993-2012, and 2014.", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B_GLB-OSISAF-L3C_1", + "title": "GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2016-02-20", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637836-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637836-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_B_GLB-OSISAF-L3C_1", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0133937_Not Applicable", - "title": "Bowhead whale aerial abundance survey conducted by Alaska Fisheries Science Center, National Marine Mammal Laboratory from 2011-04-19 to 2011-06-11 (NCEI Accession 0133937)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2011-04-19", - "end_date": "2011-06-11", - "bbox": "-164.42379, 68.987009, -148.41013, 71.974838", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379086-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379086-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0133937_Not%20Applicable", - "description": "Aerial photographic surveys for bowhead whales were conducted near Point Barrow, Alaska, from 19 April to 6 June in 2011. Approximately 4,594 photographs containing 6,801 bowhead whale images were obtained (not accounting for resightings). The 2011 field season was very successful: we flew 36 out of 49 available days and conducted 49 flights in that time; we were grounded due to weather on 13 days. The longest period of time that we were grounded due to weather (low ceilings/fog) was three days. This occurred after the migration had slowed down, during a time when few whales passed the ice perches according to the ice-based visual survey. The 2011 migration was steady with several peaks (30 April, 4-5 May, 12 May), and then the migration rate slowed down considerably after 14 May. The photographs taken in 2011 are a significant contribution to the bowhead whale photographic catalogue. They will be used to calculate a population estimate that may be used for comparison with the 2011 ice-based estimate and will provide better precision in estimates of bowhead whale life-history parameters.", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B_NAR-OSISAF-L3C_1", + "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from Metop/AVHRR produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2016-02-20", + "end_date": "", + "bbox": "-76.02, 13.59, 72.97, 78.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638078-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638078-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_B_NAR-OSISAF-L3C_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0137093_Not Applicable", - "title": "Calcification Rates of Crustose Coralline Algae derived from Calcification Accretion Units (CAUs) deployed across American Samoa and the Pacific Remote Island Areas in 2010 and recovered in 2012 (NCEI Accession 0137093)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-01-25", - "end_date": "2012-05-17", - "bbox": "-176.624, -14.5596, -160.014, 16.7477", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379273-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379273-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0137093_Not%20Applicable", - "description": "Laboratory experiments reveal calcification rates of crustose coralline algae are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. The data described here result from the use of calcification accretion units, or CAUs, to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. This effort is a partnership between CREP and Drs. Nicole Price of Bigelow Marine Laboratory and Jen Smith of Scripps Institution of Oceanography, who have extensive knowledge of marine benthic algal community ecology. CAUs are composed of two 10 x 10 centimeter (cm) flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos using stainless steel threaded rods. Calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over 2-3 year deployments. Due to the simple, low-cost design and analysis, statistically robust numbers of calcification plates can easily be deployed, recovered, and processed to provide estimates of net calcification, percent cover, and vertical accretion rates. CAUs have been deployed and replaced at existing, long-term monitoring sites during Pacific RAMP cruises, in accordance with protocols developed by Price et al. 2012. There are typically five CAU sites established at each location CREP visits with five units deployed at each site. The study provides information about Pacific-wide spatial patterns of algal calcification and accretion rates and serves as a basis for detecting changes associated with changing seawater chemistry due to ocean acidification. In conjuction with benthic community composition data (separate dataset), the calcification rates will aid in determining the magnitude of how ocean acidification affects coral reefs in the natural environment. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive, accession 0137093. The reef study sites are throughout the Pacific Ocean, in areas with little or no direct local anthropogenic impacts and areas of anthropogenic impact. Pacific RAMP is an ideal platform from which to collect samples over a broad range of benthic ecosystems, oceanic regimes and gradients, to observe ecological impacts of ocean acidification on natural reef systems, outside of the laboratory. Analysis of these data will expand scientists\u00e2\u0080\u0099 capacity for assessing coral reef resilience regarding the effects of ocean acidification outside of controlled laboratory experiments. These data can also be used in comparative analyses across natural gradients, thereby assisting efforts to determine whether key reef-building taxa can acclimatize to changing oceanographic environments. These data will have immediate, direct impacts on predictions of reef resilience in a higher CO2 world and on the design of reef management strategies.", + "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_NOAA19_NAR-OSISAF-L3C_1", + "title": "GHRSST Level 3C North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-19 (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2013-11-19", + "end_date": "2013-11-20", + "bbox": "-76.02, 23.59, 72.97, 78.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638203-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638203-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_NOAA19_NAR-OSISAF-L3C_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA-19 platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0138649_Not Applicable", - "title": "Bottom water temperature, salinity, pH, benthic cover, dissolved inorganic carbon and other data collected from NOAA Ship HI'IALAKAI and other in Northern Marianna Islands from 2014-05-17 to 2014-08-13 (NCEI Accession 0138649)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-05-17", - "end_date": "2014-08-13", - "bbox": "145.2074, 19.9964, 145.2316, 20.03215", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376259-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376259-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0138649_Not%20Applicable", - "description": "These data correspond to that published in the analysis of the following manuscript: I.C. Enochs, Manzello, D.P., Donham, E.M., Kolodziej, G., Okano, R., et al. (in press) Shift from coral to macroalgae dominance on a volcanically acidified reef. Nature Climate Change. https://doi.org/10.1038/nclimate2758", + "id": "gov.noaa.nodc:GHRSST-CMC0.1deg-CMC-L4-GLOB_3.0", + "title": "GHRSST Level 4 CMC0.1deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2016-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637923-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637923-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-CMC0.1deg-CMC-L4-GLOB_3.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the Advanced Very High Resolution Radiometer (AVHRR) from NOAA-18,19, the European Meteorological Operational-A (METOP-A) and Operational-B (METOP-B), and microwave data from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W satellite in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0138863_Not Applicable", - "title": "Acoustics short-term passive monitoring using sonobuoys in the Bering, Chukchi, and Western Beaufort Seas conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 2007-08-01 to 2015-09-28 (NCEI Accession 0138863)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-08-01", - "end_date": "2015-09-28", - "bbox": "-177.5925, 53.52167, -141.62497, 72.86938", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376269-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376269-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0138863_Not%20Applicable", - "description": "The National Marine Mammal Laboratory (NMML) has conducted passive acoustic monitoring in the Bering, Chukchi, and Western Beaufort Seas to determine spatio-temporal distribution of marine mammals as well as environmental and anthropogenic noise. Species and sounds detected on sonobuoys include fin, blue, bowhead, humpback, killer, gray, minke, sperm, beluga, sei, and North Pacific right whales, walrus, ribbon and bearded seals, and seismic airguns. This short-term passive acoustic monitoring was also used to locate vocalizing species of interest for photo-identification, tagging, and behavioral studies. Recordings are available since 2007 in the Bering Sea, since 2010 in the Chukchi and Beaufort Seas, and in 2013 in the Gulf of Alaska. Both omnidirectional and DiFAR sonobuoys have been used. The vast majority of the sonobuoys were deployed opportunistically along the tracks of research cruises funded by the Bureau of Ocean Energy Management (BOEM). In one year (2009), sonobuoys were deployed opportunistically from an aerial survey plane. All sonobuoys were provided by the United States Navy (Naval Operational Logistics Support Center, Naval Surface Warfare Center, Crance Division, and the Office of the Assistant Secretary of the Navy).", + "id": "gov.noaa.nodc:GHRSST-CMC0.2deg-CMC-L4-GLOB_2.0", + "title": "GHRSST Level 4 CMC0.2deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "1991-09-01", + "end_date": "2017-03-18", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638532-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638532-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-CMC0.2deg-CMC-L4-GLOB_2.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the (A)TSR series of radiometers from ERS-1, ERS-2 and Envisat, AVHRR from NOAA-16,17,18,19 and METOP-A, and microwave data from TMI, AMSR-E and Windsat in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0138984_Not Applicable", - "title": "Characterizing pinniped use of offshore oil and gas platforms as haulouts and foraging areas in waters off southern California from 2013-01-01 to 2015-01-31 (NCEI Accession 0138984)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2013-01-01", - "end_date": "2015-01-31", - "bbox": "-121, 33, -118, 35", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376321-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376321-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0138984_Not%20Applicable", - "description": "California sea lions (Zalophus californianus) and Pacific harbor seals (Phoca vitulina) use offshore oil and gas platforms as resting and foraging areas. Both species are protected by the Marine Mammal Protection Act (1972). The Bureau of Ocean Energy Management (BOEM) is required to collect information from platforms being used by California sea lions and harbor seals (or other pinniped species) with the goal of meeting environmental review and permitting requirements associated with the eventual decommissioning of offshore platforms. Decommissioning requirements are under the jurisdiction of BOEMs sister agency, the Bureau of Safety and Environmental Enforcement (BSEE). However, BOEM provides environmental studies and environmental review support for BSEE actions. To accomplish this goal, BOEM entered an inter-agency agreement with the National Marine Mammal Laboratories' California Current Ecosystem Program (CCEP; AFSC/NOAA) in 2012. Specifically, BOEM funded CCEP to conduct a study (from January 2012 to January 2015) to characterize and quantify California sea lion and Pacific harbor seal use of the platforms, including; abundance, seasonal use patterns, and age and sex class composition of animals on the platforms. Inter- (i.e. spatial) and intra- (i.e. temporal) platform comparisons were examined.", + "id": "gov.noaa.nodc:GHRSST-DMI-L4UHfnd-NSEABALTIC-DMI_OI_1.0", + "title": "GHRSST Level 4 DMI_OI North Sea and Baltic Sea Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2007-06-04", + "end_date": "2016-03-05", + "bbox": "-9.99, 48.01, 30, 65.98", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641344-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641344-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-DMI-L4UHfnd-NSEABALTIC-DMI_OI_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a regional 0.03 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites over the North and Baltic Seas. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE) and the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua. An ice field from the Swedish and Finnish ice services is used to mask out areas with ice.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0140481_Not Applicable", - "title": "Bristol Bay Beluga hearing sensitivity data collected from 2012-09-02 to 2014-09-03 (NCEI Accession 0140481)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-09-02", - "end_date": "2014-09-03", - "bbox": "-159, 58.5, -158.2, 59.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376409-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376409-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0140481_Not%20Applicable", - "description": "Hearing sensitivity data was collected on beluga whales in Bristol Bay with auditory evoked potential (AEP) methods for the frequencies 4, 8, 11.2, 16, 22.5, 32, 45, 54, 80, 100, 128, 150 kHz in 7 belugas in 2012 and 9 in 2014.", + "id": "gov.noaa.nodc:GHRSST-DMI_OI-DMI-L4-GLOB_1.0", + "title": "GHRSST Level 4 DMI_OI Global Foundation Sea Surface Temperature Analysis (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2013-12-11", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638201-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638201-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDNjIHN1Yi1za2luIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGdlb3N0YXRpb25hcnkgb3BlcmF0aW9uYWwgZW52aXJvbm1lbnRhbCBzYXRlbGxpdGVzIChnb2VzIDEzKSBpbWFnZXIgaW4gZWFzdCBwb3NpdGlvbiBwcm9kdWNlZCBieSBvc2kgc2FmIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtR09FUzEzLU9TSVNBRi1MM0NcIixcIjFcIiwyMjEzNjQxNzExLDFdIiwidW1tIjoiW1wiZ2hyc3N0IGxldmVsIDNjIHN1Yi1za2luIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGdlb3N0YXRpb25hcnkgb3BlcmF0aW9uYWwgZW52aXJvbm1lbnRhbCBzYXRlbGxpdGVzIChnb2VzIDEzKSBpbWFnZXIgaW4gZWFzdCBwb3NpdGlvbiBwcm9kdWNlZCBieSBvc2kgc2FmIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtR09FUzEzLU9TSVNBRi1MM0NcIixcIjFcIiwyMjEzNjQxNzExLDFdIn0%3D/gov.noaa.nodc%3AGHRSST-DMI_OI-DMI-L4-GLOB_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a global 0.05 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer 2 (AMSR2), the Visible Infrared Imager Radiometer Suite (VIIRS), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua. An ice field from the EUMETSAT OSI-SAF is used to mask out areas with ice. This dataset adheres to the version 2 GHRSST Data Processing Specification (GDS).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0143303_Not Applicable", - "title": "Acoustics long-term passive monitoring using moored autonomous recorders in the Bering, Chukchi, and Western Beaufort Seas conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 2007-08-15 to 2015-04-30 (NCEI Accession 0143303)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-08-15", - "end_date": "2015-04-30", - "bbox": "171.7, 53.63, -0.78, 78.837", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376734-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376734-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0143303_Not%20Applicable", - "description": "The National Marine Mammal Laboratory (NMML) has deployed long-term passive acoustic recorders in various locations in Alaskan waters and in the High Arctic to determine spatio-temporal distribution of marine mammals as well as environmental and anthropogenic noise. Following the timing of peak calling among the various long-term recorders may provide some insight into finer-scale movements of cetaceans throughout the Bering, Chukchi, and Beaufort Seas. Changes in ambient noise levels can also be tracked. Recordings are available since 2007 in the Bering and Beaufort Seas, since 2010 in the Chukchi, and from 2008-2012 in Fram Strait. The majority of these recorders were deployed on NMML subsurface moorings, although several have been deployed on the oceanographic moorings of other researchers. Several different types of autonomous passive acoustic recorders have been deployed, most for one year. Recording parameters varied among instrument types and have evolved among projects. The majority of these recorders and deployments were funded by the Bureau of Ocean Energy Management (BOEM); however, several were funded by a grant from the Ocean Acoustics Program (NOAA/S and T).", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AMSRE_1.0", + "title": "GHRSST Level 2P Regional Subskin Sea Surface Temperature from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua satellite for the Atlantic Ocean (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-19", + "end_date": "2007-02-26", + "bbox": "-100, -70, 45, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638361-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638361-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-AMSRE_1.0", + "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea-surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset is derived from Remote Sensing Systems BMAPS (binary) format AMSR-E SST subskin data. Data were downloaded for North Atlantic region from Remote Sensing Systems every hour to capture the latest AMSRE observations. L2P data products were then produced to the GHRSST Data Processing Specification (GDS) version 1.5. Ascending (daytime) and descending (nighttime) orbits are packaged into separate netCDF files. Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project, the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for GHRSST-PP it assumed an incorrect designation of \"L2P\".", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0143928_Not Applicable", - "title": "Benthic Habitats of the Florida Keys derived from color aerial photography collected between 1991-12 and March 1992 (NCEI Accession 0143928)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-12-01", - "end_date": "1998-01-01", - "bbox": "-83, 24.25, -80.2, 25.25", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376853-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376853-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0143928_Not%20Applicable", - "description": "This project was a cooperative effort between the National Ocean Service and the Florida Department of Environmental Protection's Florida Marine Research Institute (now called the Fish and Wildlife Research Institute). The goal of the effort was to produce shallow-water (from 0 to approximately 30 m water depth) benthic habitat maps of the Florida Keys and adjacent waters. The maps were generated by expert visual interpretation of 1:48,000 scale color aerial photography and subsequent photogrammetric, stereo, digital compilation of interpreted habitat polygon boundaries from aerial photography. The Minimum mapping unit = 0.4 hectare (4,047 sq m; 1 acre) for all habitat. Patch reefs may be <0.5 ha. The aerial photography was acquired using a NOAA jet from December 1991 through March 1992. The photography was acquired with 60% side and 80% forward overlap to facilitate stereo compilation. Approximately 450 aerial photographs were acquired and used for the mapping project. Ground validation of interpreted habitat polygons was performed by visual verification at actual field sites prior to compilation. Aircraft Inertial Measurement Unit data were used to correct photography positioning in photogrammetric analytical plotters. The analytical solution used in the photogrammetric plotter for positioning was applied to bundles of 30-40 adjacent, overlapping aerial photographs. The stereo positioning of the photography was < 1 m. Digital data for bundles of compiled aerial photographs from the photogrammetric stereo plotter was imported into the ESRI ArcInfo GIS. The GIS was used to merge and edit the vector and attribute features of the 15 bundles to generate a mosaic benthic habitat map of the Florida Keys and adjacent areas covered by the aerial photography. Field validation of digitized habitat features visible in the aerial photography mosaics was performed to ensure correct interpretation. An assessment of the correctness of the interpreted digital map was performed by experts familiar with the the seafloor habitat found in the Florida Keys.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-ATS_NR_2P_1.0", + "title": "GHRSST Level 2P Global Skin Sea Surface Temperature from the Advanced Along Track Scanning Radiometer (AATSR) on the ESA Envisat satellite produced by EUR (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2009-09-30", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638988-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638988-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-ATS_NR_2P_1.0", + "description": "Launched in March 2002 by the European Space Agency (ESA), Envisat is the largest Earth Observation spacecraft ever built. It carries ten sophisticated optical and radar instruments to provide continuous observation and monitoring of the Earth's land, atmosphere, oceans and ice caps. The Advanced Along-Track Scanning Radiometer (AATSR) onboard the Envisat spacecraft is designed to meet the challenging task of monitoring and detecting the climate change signal of sea surface temperature (SST). It builds on the success of its predecessor instruments on the European Remote-Sensing Satellite (ERS)-1, and ERS-2 satellites, and will lead to a multi-decade record of precise and accurate global SST measurements, thereby making a valuable contribution to the long-term climate record. The exceptionally high radiometric accuracy and stability of AATSR data are achieved through a number of unique features. A comprehensive pre-launch calibration programme, combined with continuous in-flight calibration, ensures that the data are continually corrected for sensor drift and degradation. A \"dual-view\" algorithm offering improved atmospheric correction by applying two different atmospheric path lengths is used to derive the SSTskin observations. The accuracies achieved with this configuration are further enhanced by using low-noise infrared detectors, cooled to their optimum operating temperature by a pair of Stirling-cycle coolers. With its high-accuracy, high-quality imagery and channels in the visible, near-infrared and thermal wavelengths, AATSR data will support many applications in addition to oceanographic and climate research, including a wide range of land-surface, cryosphere and atmospheric studies. See Llewellyn-Jones et al (2001) ESA bulletin 105, Feb 2001 for a full description. These AATSR L2P SST data are produced as part of the Group for High Resolution Sea Surface Temperature (GHRSST) Project according to the GHRSST-PP Data Processing Specification (GDS) version 1.5. This AATSR L2P dataset is the original product produced by the Medspiration Regional Data Assembly Facility (RDAC) from early 2005 to mid 2009.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0145165_Not Applicable", - "title": "California sea lion and northern fur seal censuses conducted at Channel Islands, California by Alaska Fisheries Science Center from 1969-07-31 to 2015-08-08 (NCEI Accession 0145165)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-07-31", - "end_date": "2015-08-08", - "bbox": "-120.5, 33, -119, 34.11", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377845-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377845-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0145165_Not%20Applicable", - "description": "The National Marine Mammal Laboratories' California Current Ecosystem Program (AFSC/NOAA) initiated and maintains census programs for California sea lions (Zalophus californianus) and northern fur seals (Callorhinus ursinus) at San Miguel and San Nicolas Islands, California. The program documents annual pup births, pup mortality, and temporal patterns in adult and juvenile presence at San Miguel Island. For both species, the database contains field data on the annual number of live pups and dead pups by location. At San Miguel Island, daily counts of adults, pups, and juveniles in a sample area are also available. The data are used to describe population trends and changes in land resource use among the species.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR16_G_1.0", + "title": "GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2006-08-14", + "bbox": "-100, -70, 45, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638093-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638093-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR16_G_1.0", + "description": "A global Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Global Area Coverage (GAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0146259_Not Applicable", - "title": "Capture and resight data of California sea lions in Washington State, 1989-02-15 to 2006-06-01 (NCEI Accession 0146259)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-02-15", - "end_date": "2006-06-01", - "bbox": "-132, 32, -122, 54.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378578-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378578-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0146259_Not%20Applicable", - "description": "This dataset contains data from the capture and recapture of over 1500 male California sea lions (Zalophus californianus) from Washington between 1989-2006. The data fields include capture data such as time, location, weight, length, and girth for each animal captured. The dataset also includes records of resights of each animal from records collected from observers from California to Vancouver Island, British Columbia, Canada. The dataset also contains information from opportunistic captures of Steller sea lions (Eumetopias jubatus) in the same region.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR16_L_1.0", + "title": "GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2005-10-26", + "bbox": "-45, 20, 45, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638215-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638215-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR16_L_1.0", + "description": "A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Local Area Coverage (LAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). LAC are full resolution AVHRR data whose acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0146680_Not Applicable", - "title": "Benthic Surveys in Vatia, American Samoa: benthic images collected during belt transect surveys from 2015-11-2 to 2015-11-12 (NCEI Accession 0146680)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-11-02", - "end_date": "2015-11-12", - "bbox": "-170.674, -14.2501, -170.667, -14.2432", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378606-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378606-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0146680_Not%20Applicable", - "description": "Jurisdictional managers have expressed concerns that nutrients from the village of Vatia, Tutuila, American Samoa, are having an adverse effect on the coral reef ecosystem in Vatia Bay. Excess nutrient loads promote increases in algal growth that can have deleterious effects on corals, such as benthic algae outcompeting and overgrowing corals. Nitrogen and phosphorus can also directly impact corals by lowering fertilization success, and reducing both photosynthesis and calcification rates. Land-based contributions of nutrients come from a variety of sources; in Vatia the most likely sources are poor wastewater management from piggeries and septic systems. NOAA scientists conducted benthic surveys to establish a baseline against which to compare changes in the algal and coral assemblages in response to nutrient fluxes. The data described here were collected via belt transect surveys of coral demography (adult and juvenile corals) by the NOAA Coral Reef Ecosystem Program (CREP) according to protocols established by the NOAA National Coral Reef Monitoring Program (NCRMP). In 2015 data were collected at 18 stratified randomly selected sites in Vatia Bay. These data include photoquadrat benthic images.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR17_G_1.0", + "title": "GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2007-02-26", + "bbox": "-100, -70, 45, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638274-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638274-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR17_G_1.0", + "description": "A global Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Global Area Coverage (GAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC). GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0146682_Not Applicable", - "title": "Benthic Surveys in Faga'alu, American Samoa: benthic images collected during belt transect surveys in 2012 and 2015 (NCEI Accession 0146682)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-03-28", - "end_date": "2015-11-11", - "bbox": "-170.681, -14.2952, -170.673, -14.287", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378626-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378626-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0146682_Not%20Applicable", - "description": "The data described herein are part of a NOAA Coral Reef Conservation Program (CRCP) funded project aimed at establishing baseline data for coral demographics and benthic cover and composition via Rapid Ecological Assessment (REA) surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) at Faga'alu Bay, Tutuila, American Samoa between 2012 and 2015. Photoquadrat benthic images were collected in 2012 and 2015 only, via belt transect surveys of coral demography according to protocols established by CREP in 2012 and by the NOAA National Coral Reef Monitoring Program (NCRMP) in 2015.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR17_L_1.0", + "title": "GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2007-02-26", + "bbox": "-45, 20, 45, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638171-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638171-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR17_L_1.0", + "description": "A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Local Area Coverage (LAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). LAC are full resolution AVHRR data whose acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0147683_Not Applicable", - "title": "Bottom longline analytical data collected in Gulf of Mexico from 1995-01-01 to 2013-12-30 (NCEI Accession 0147683)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-01", - "end_date": "2013-12-30", - "bbox": "-97.3473, 24.3627, -81.5875, 30.3677", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378649-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378649-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYm90dGxlIGRpc2NyZXRlIG1lYXN1cmVtZW50cyBvZiBkaWMsIGFsa2FsaW5pdHksIHBoIChvbiB0b3RhbCBzY2FsZSksIHRlbXBlcmF0dXJlLCBzYWxpbml0eSBhbmQgbnV0cmllbnRzIGZyb20gci92IHByb2Zlc3NvciBnYWdhcmluc2t5IGNydWlzZSBwZ2JfMjAxNDA4IChleHBvY29kZSA5MGcyMjAxNDA4MjcpIGluIHRoZSBwZXRlciB0aGUgZ3JlYXQgYmF5LCBqYXBhbiBzZWEgZnJvbSAyMDE0LTA4LTI3IHRvIDIwMTQtMDktMDUgKG5jZWkgYWNjZXNzaW9uIDAxNjIzMTcpXCIsXCJOT0FBX05DRUlcIixcIjEwLjcyODkvdjVxMjN4Z3dcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3OTQxNCwxXSIsInVtbSI6IltcImJvdHRsZSBkaXNjcmV0ZSBtZWFzdXJlbWVudHMgb2YgZGljLCBhbGthbGluaXR5LCBwaCAob24gdG90YWwgc2NhbGUpLCB0ZW1wZXJhdHVyZSwgc2FsaW5pdHkgYW5kIG51dHJpZW50cyBmcm9tIHIvdiBwcm9mZXNzb3IgZ2FnYXJpbnNreSBjcnVpc2UgcGdiXzIwMTQwOCAoZXhwb2NvZGUgOTBnMjIwMTQwODI3KSBpbiB0aGUgcGV0ZXIgdGhlIGdyZWF0IGJheSwgamFwYW4gc2VhIGZyb20gMjAxNC0wOC0yNyB0byAyMDE0LTA5LTA1IChuY2VpIGFjY2Vzc2lvbiAwMTYyMzE3KVwiLFwiTk9BQV9OQ0VJXCIsXCIxMC43Mjg5L3Y1cTIzeGd3XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzk0MTQsMV0ifQ%3D%3D/gov.noaa.nodc%3A0147683_Not%20Applicable", - "description": "NOAA NMFS does not approve, recommend, or endorse any proprietary product or proprietary material mentioned in this publication. No reference shall be made to NMFS, or to this publication furnished by NMFS, in any advertising or sales promotion which would indicate or imply that NMFS approves, recommends, or endorses any proprietary product or proprietary material mentioned herein or which has as its purpose any intent to cause directly or indirectly the advertised product to be used or purchased because of this NMFS publication. NMFS is not responsible for any uses of these datasets beyond those for which they were intended, and NMFS makes no claims regarding the accuracy of any data provided by agencies or individuals outside NMFS. Acknowledgment of NOAA NMFS and SEAMAP would be appreciated in products derived or publications generated from this data.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR_METOP_A_1", + "title": "GHRSST Level 2P Global Skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite produced by EUMETSAT (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-10-01", + "end_date": "2013-07-04", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638342-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638342-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR_METOP_A_1", + "description": "The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 m) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This product is delivered at full resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0148759_Not Applicable", - "title": "AIR TEMPERATURE, RELATIVE HUMIDITY, and others collected from Automatic Weather Station installed on rock outcrop in Helheim Glacier Ice Front from 2009-08-11 to 2016-02-20 (NCEI Accession 0148759)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-08-11", - "end_date": "2016-02-20", - "bbox": "-38.146, 66.329, -38.146, 66.329", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378741-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378741-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0148759_Not%20Applicable", - "description": "The Helheim Glacier was observed to retreat and speed up during the mid 2000s. One possible cause of the change in glacier behavior could be due to changes in atmosphere properties, temperature, humidity, and wind. A research program was established to monitor the atmosphere conditions near the glacier during 2009-2013.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-NAR16_SST_1.0", + "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2005-11-22", + "bbox": "-45, 20, 45, 79", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638443-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638443-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-NAR16_SST_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from direct broadcast High Resolution Picture Transmission (HRPT) AVHRR data that are re-mapped onto a stereopolar grid to produce mosaics at 2 km resolution. An operational AVHRR cloud mask is applied based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including the use of fine scale climatology and a fine gradient climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. L2P data products are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES). Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project (GHRSST-PP), the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for the GHRSST-PP it assumed an incorrect designation of \"L2P\".", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0148760_Not Applicable", - "title": "AIR TEMPERATURE, RELATIVE HUMIDITY, and others collected from Automatic Weather Station installed on rock outcrop in Jakobshavn Glacier Ice Front from 2007-10-13 to 2016-02-14 (NCEI Accession 0148760)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2007-10-13", - "end_date": "2016-02-14", - "bbox": "-49.815, 69.222, -49.815, 69.222", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378750-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378750-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0148760_Not%20Applicable", - "description": "The Jakobshavn Glacier was observed to retreat and speed up during the late 1990s and early 2000s. One possible cause of the change in glacier behavior could be due to changes in atmosphere properties, temperature, humidity, and wind. A research program was established to monitor the atmosphere conditions near the glacier during 2009-2013.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-NAR17_SST_1.0", + "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2010-03-22", + "bbox": "-45, 20, 45, 79", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638351-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638351-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-NAR17_SST_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 Jun 2002). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from direct broadcast High Resolution Picture Transmission (HRPT) AVHRR data that are re-mapped onto a stereopolar grid to produce mosaics at 2 km resolution. An operational AVHRR cloud mask is applied based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including the use of fine scale climatology and a fine gradient climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. L2P data products are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES). Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project (GHRSST-PP), the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for the GHRSST-PP it assumed an incorrect designation of \"L2P\".", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0155488_Not Applicable", - "title": "Bottom Dissolved Oxygen Maps From SEAMAP Summer and Fall Groundfish/Shrimp Surveys from 1982 to 1998 (NCEI Accession 0155488)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-01-01", - "end_date": "1998-01-01", - "bbox": "-98, 18, -74, 37", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380245-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380245-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYm90dGxlIGRpc2NyZXRlIG1lYXN1cmVtZW50cyBvZiBkaWMsIGFsa2FsaW5pdHksIHBoIChvbiB0b3RhbCBzY2FsZSksIHRlbXBlcmF0dXJlLCBzYWxpbml0eSBhbmQgbnV0cmllbnRzIGZyb20gci92IHByb2Zlc3NvciBnYWdhcmluc2t5IGNydWlzZSBwZ2JfMjAxNDA4IChleHBvY29kZSA5MGcyMjAxNDA4MjcpIGluIHRoZSBwZXRlciB0aGUgZ3JlYXQgYmF5LCBqYXBhbiBzZWEgZnJvbSAyMDE0LTA4LTI3IHRvIDIwMTQtMDktMDUgKG5jZWkgYWNjZXNzaW9uIDAxNjIzMTcpXCIsXCJOT0FBX05DRUlcIixcIjEwLjcyODkvdjVxMjN4Z3dcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3OTQxNCwxXSIsInVtbSI6IltcImJvdHRsZSBkaXNjcmV0ZSBtZWFzdXJlbWVudHMgb2YgZGljLCBhbGthbGluaXR5LCBwaCAob24gdG90YWwgc2NhbGUpLCB0ZW1wZXJhdHVyZSwgc2FsaW5pdHkgYW5kIG51dHJpZW50cyBmcm9tIHIvdiBwcm9mZXNzb3IgZ2FnYXJpbnNreSBjcnVpc2UgcGdiXzIwMTQwOCAoZXhwb2NvZGUgOTBnMjIwMTQwODI3KSBpbiB0aGUgcGV0ZXIgdGhlIGdyZWF0IGJheSwgamFwYW4gc2VhIGZyb20gMjAxNC0wOC0yNyB0byAyMDE0LTA5LTA1IChuY2VpIGFjY2Vzc2lvbiAwMTYyMzE3KVwiLFwiTk9BQV9OQ0VJXCIsXCIxMC43Mjg5L3Y1cTIzeGd3XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzk0MTQsMV0ifQ%3D%3D/gov.noaa.nodc%3A0155488_Not%20Applicable", - "description": "Bottom dissolved oxygen (DO) data was extracted from environmental profiles acquired during the Southeast Fisheries Science Center Mississippi Laboratories summer groundfish trawl surveys of the Western and North-central Gulf of Mexico from 1982-1998. The data were distributed to hypoxia researchers in near real time and used to generate bottom DO maps as part of the Hypoxia Watch Project (http://www.ncddc.noaa.gov/hypoxia/). The profiles were acquired with a Sea-Bird Model SB9 profiler equipped with pressure, temperature, conductivity, fluorescence, and beam transmission sensors. The data were processed with Sea-Bird software using the standard processing protocol developed by the Mississippi Laboratories. Water temperature, beam transmission, and derived salinity, DO and DO percent saturation, and density were retained in the processed files. SAS software was used to extract the bottom DO and other relevant data (e.g., date, time, position, and station number) and format the data as comma-delimited ASCII files.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-NAR18_SST_1.0", + "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2005-11-24", + "end_date": "2010-09-14", + "bbox": "-45, 20, 45, 79", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639456-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639456-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-NAR18_SST_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched on 20 May 2005). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from direct broadcast High Resolution Picture Transmission (HRPT) AVHRR data that are re-mapped onto a stereopolar grid to produce mosaics at 2 km resolution. An operational AVHRR cloud mask is applied based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including the use of fine scale climatology and a fine gradient climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. L2P data products are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES). Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project (GHRSST-PP), the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for the GHRSST-PP it assumed an incorrect designation of \"L2P\".", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0155948_Not Applicable", - "title": "CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ and Palmyra EEZ from 2011-10-20 to 2011-11-17 (NCEI Accession 0155948)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2011-10-20", - "end_date": "2011-11-17", - "bbox": "-165.19666, 4.1355, -156.3175, 21.221", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376252-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376252-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0155948_Not%20Applicable", - "description": "Water samples were collected from the ocean surface using a bucket and from below the surface using bottles attached to the CTD during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID: SE 11-08). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Surface water samples were also collected opportunistically during some cetacean sightings. CTD samples were collected once each morning. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-SEVIRI_SST_4.0", + "title": "GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-1) satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-30", + "end_date": "2012-03-15", + "bbox": "-100, -60, 45, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639968-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639968-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-SEVIRI_SST_4.0", + "description": "The Meteosat Second Generation (MSG) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by Meteo France/ Centre de Meteorologie Spatiale (CMS), is derived from the SEVIRI instrument on the first MSG satellite (also known as Meteosat-8) that was launched on 28 August 2002. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution on a hourly basis. Remapping of original pixel size to 11.6 km resolution is made by spatial averaging, and a 3-hourly temporal resolution SST is created by averaging the hourly SSTs having the best confidence level. Data from different MSG satellites are not averaged together. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0155964_Not Applicable", - "title": "CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ and Papahanaumokuakea Marine National Monument from 2013-05-08 to 2013-06-03 (NCEI Accession 0155964)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2013-05-08", - "end_date": "2013-06-03", - "bbox": "-177, -14.2446, -157.92, 28.79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376312-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376312-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0155964_Not%20Applicable", - "description": "Water samples were collected from the ocean surface using a bucket and from below the surface using bottles attached to the CTD during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID SE 13-03). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Surface water samples were also collected opportunistically during some cetacean sightings. CTD samples were collected once each morning. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet.", + "id": "gov.noaa.nodc:GHRSST-EUR-L2P-TMI_1.0", + "title": "GHRSST Level 2P Regional Subskin Sea Surface Temperature from the Tropical Rainfall Mapping Mission (TRMM) Microwave Imager (TMI) for the Atlantic Ocean (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2004-12-29", + "end_date": "2007-02-27", + "bbox": "-100, -40, 45, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638353-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638353-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-TMI_1.0", + "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to SSM/I, that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in November 1997. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset is derived from Remote Sensing Systems BMAPS (binary) format TMI SST subskin data. Data were downloaded for the North Atlantic region from Remote Sensing Systems every hour to capture the latest TMI observations. L2P data products were then produced to the GHRSST Data Processing Specification (GDS) version 1.5. Ascending (daytime) and descending (nighttime) orbits are packaged into separate netCDF files. Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project, the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for GHRSST-PP it assumed an incorrect designation of \"L2P\".", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0155998_Not Applicable", - "title": "CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ, Palmyra EEZ, and American Samoa EEZ from 2012-04-23 to 2012-05-15 (NCEI Accession 0155998)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-04-23", - "end_date": "2012-05-15", - "bbox": "-169.9633, -14.2446, -157.2218, 19.2698", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376410-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376410-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0155998_Not%20Applicable", - "description": "Surface water samples were collected during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID SE 12-03). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Samples were also collected opportunistically during some cetacean sightings. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet.", + "id": "gov.noaa.nodc:GHRSST-EUR-L3P-GLOB_AVHRR_METOP_A_1", + "title": "GHRSST Level 3P Global Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-09-01", + "end_date": "2013-07-03", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638553-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638553-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L3P-GLOB_AVHRR_METOP_A_1", + "description": "A global Level 3 Group for High Resolution Sea Surface Temperature (GHRSST) dataset from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A platform (launched on 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The SST fields are derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. The MetOp-A SST L3P data are compliant with the Group for High Resolution SST (GHRSST) Data Specification (GDS) version 1.7.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0156424_Not Applicable", - "title": "Absolute Geostrophic Velocity Inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156424)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1950-01-01", - "end_date": "1996-12-31", - "bbox": "-180, 58, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376812-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376812-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0156424_Not%20Applicable", - "description": "The dataset (called EWG-V) comprises 3D gridded climatological fields of absolute geostrophic velocity inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean using the P-vector method. It provides a climatological velocity field that is dynamically compatible to the EWG (T, S) fields. The EWG-V velocity fields have the annual, and seasonal (winter and summer) means with the same horizontal resolution of 25 km and 90 vertical levels as the EWG temperature and salinity fields.", + "id": "gov.noaa.nodc:GHRSST-EUR-L3P-NAR_AVHRR_METOP_A_1", + "title": "GHRSST Level 3P North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-09-01", + "end_date": "2013-07-03", + "bbox": "-76.02, 23.59, 72.97, 78.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639746-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639746-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L3P-NAR_AVHRR_METOP_A_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A platform (launched on 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. The MetOp-A SST L3P data are compliant with the Group for High Resolution SST (GHRSST) Data Specification (GDS) version 1.7.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0156425_Not Applicable", - "title": "Absolute Geostrophic Velocity Inverted from the Polar Science Center Hydrographic Climatology (PHC3.0) of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156425)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1900-01-01", - "end_date": "1998-12-31", - "bbox": "-180, 45, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376820-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376820-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0156425_Not%20Applicable", - "description": "The dataset (called PHC-V) comprises 3D gridded climatological fields of absolute geostrophic velocity of the Arctic Ocean inverted from the Polar science center Hydrographic Climatology (PHC) temperature and salinity fields (version 3.0) using the P-vector method. It provides climatological annual, seasonal, and monthly mean velocity fields with the same horizontal resolution (1 deg in horizontal, 33 levels in vertical), and dynamical compatibility to the PHC3.0 (T, S) fields.", + "id": "gov.noaa.nodc:GHRSST-EUR-L3P-NAR_AVHRR_NOAA_19_1", + "title": "GHRSST Level 3P North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-19 (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-12-10", + "end_date": "2013-07-04", + "bbox": "-76.02, 23.59, 72.97, 78.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638527-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638527-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L3P-NAR_AVHRR_NOAA_19_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. The NOAA-19 SST L3P data are compliant with the Group for High Resolution SST (GHRSST) Data Specification (GDS) version 1.7.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0156692_Not Applicable", - "title": "Bioerosion Accretion Replicate (BAR) data covering in situ calcification and bioerosion rates along pH gradients at two volcanically acidified reefs in Papua New Guinea from 2013-01-18 to 2014-11-10 (NCEI Accession 0156692)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2013-01-18", - "end_date": "2014-11-10", - "bbox": "150.775, -9.875, 150.925, -9.725", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377345-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377345-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0156692_Not%20Applicable", - "description": "Bioerosion Accretion Replicate (BAR) data covering in situ calcification and bioerosion rates along pH gradients at two volcanically acidified reefs in Papua New Guinea. Methodologies, results, and analysis may be found in \"Enhanced macroboring and depressed calcification drive net dissolution at high-CO2 coral reef\" which is published in the Proceedings of the Royal Society, Series B", + "id": "gov.noaa.nodc:GHRSST-EUR-L4HRfnd-GLOB-ODYSSEA_1.0", + "title": "GHRSST Level 4 ODYSSEA Global Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2007-10-01", + "end_date": "", + "bbox": "-180, -80, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639515-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639515-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4HRfnd-GLOB-ODYSSEA_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a global 0.1 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 10km resolution (0.1 degree) over the full globe. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0156765_Not Applicable", - "title": "Age and Growth of Spotted Sea Trout in the Gulf of Mexico from 1994 to 1996 (NCEI Accession 0156765)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-05-06", - "end_date": "1996-08-30", - "bbox": "-87.6, 29.6, -84.7, 30.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377384-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377384-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0156765_Not%20Applicable", - "description": "These data sets contain raw and processed data to compare life history demographic information necessary to manage spotted seatrout in NW Florida. Specific objectives were to develop estuary-specific information on age growth, mortality rates, spawning seasonality, age size at maturity, and age size composition of the recreational fishery for Apalachicola, St. Joseph, St. Andrew, Choctawhatchee, Pensacola, and Perdido Bay systems.", + "id": "gov.noaa.nodc:GHRSST-EUR-L4UHFnd-MED_1.0", + "title": "GHRSST Level 4 EUR Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2005-04-26", + "end_date": "2008-01-14", + "bbox": "-5.99, 30.01, 36.49, 45.99", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639804-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639804-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L4UHFnd-MED_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily by Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the Mediterranean Sea. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), and the Tropical Rainfall Measuring Mission Microwave Imager (TMI). The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). This dataset was the first Level 4 product produced by the GHRSST Project. It has been superseded by the ODYSSEA L4 product for this region: GHRSST Level 4 ODYSSEA Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0156869_Not Applicable", - "title": "Captive sea turtle rearing inventory, feeding, and water chemistry in sea turtle rearing tanks at NOAA Galveston, Texas from 1995 to 2015 (NCEI Accession 0156869)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-01-03", - "end_date": "2015-12-31", - "bbox": "-94.819688, 29.274811, -94.81456, 29.278028", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377448-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377448-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0156869_Not%20Applicable", - "description": "The database contains Excel and CSV spreadsheets monitoring captive Sea Turtle rearing program. Daily feeding logs as well as water chemistry were recorded.", + "id": "gov.noaa.nodc:GHRSST-EUR-L4UHRfnd-GAL-ODYSSEA_1.0", + "title": "GHRSST Level 4 ODYSSEA Eastern Central Pacific Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-01-23", + "end_date": "", + "bbox": "-120, -20, -69, 20", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638476-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638476-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4UHRfnd-GAL-ODYSSEA_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the Galapagos Islands and the Eastern Central Pacific. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0156913_Not Applicable", - "title": "Carbonate Budget data of the Southeast Florida Coral Reef Initiative (SEFCRI) region from 2014-09-29 to 2014-10-17 (NCEI Accession 0156913)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-09-29", - "end_date": "2014-10-17", - "bbox": "-80.104, 25.6519, -80.077, 26.1636", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377484-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377484-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0156913_Not%20Applicable", - "description": "This data set includes census based carbonate budget data that was collected in coral reef habitats located within the SEFCRI region. Surveys (based on Perry et al 2012) were collected over the course of several weeks at four major sites: Emerald, Oakland Ridge, Barracuda, and Pillars. Within each of these sites, six transect surveys (10m each) were conducted to quantify benthic cover, macrobioerosion, and microbioerosion. Ten parrotfish surveys were also conducted to account for parrotfish erosion rates at each site. This carbonate budget data along with other sea water chemistry data collected were used to inform the overall project looking at the sensitivity of the SEFCRI region to OA. We measured ambient seasonal variability across inshore/offshore reef habitats to predict the response of the CaCO3 budget of coral reefs in the SEFCRI region to ocean acidification. This data set includes all of the carbonate budget surveys that were collected to identify the sensitivity of the SEFCRI region to OA.", + "id": "gov.noaa.nodc:GHRSST-EUR-L4UHRfnd-MED-ODYSSEA_1.0", + "title": "GHRSST Level 4 ODYSSEA Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-01-01", + "end_date": "", + "bbox": "-18.5, 30, 36.5, 46.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638549-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638549-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4UHRfnd-MED-ODYSSEA_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the Mediterranean Sea. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project. This dataset supersedes the original Level 4 product for this region: GHRSST Level 4 EUR Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0157022_Not Applicable", - "title": "Carbonate data collected from R/V Hildebrand in the SEFCRI region of the Florida Reef Tract from 2014-05-27 to 2015-09-02 (NCEI Accession 0157022)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-05-27", - "end_date": "2015-09-02", - "bbox": "-80.1328, 25.5906, -80.077, 26.1636", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377840-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377840-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0157022_Not%20Applicable", - "description": "This data set includes seawater chemistry that was collected in coral reef habitats located within the SEFCRI region as well as inlets and outfalls that release nutrient rich and/or sediment laden freshwater to the coastal waters South Florida. Freshwater runoff and riverine inputs are known to be enriched in dissolved inorganic carbon, and diluted lower saline waters are known to have elevated pCO2 (e.g., Manzello et al. 2013) which is why those areas in addition to the reef sites were included in our analyses. This data along with other data collected in the field were used to inform the overall project looking at the sensitivity of the SEFCRI region to OA. We measured ambient seasonal variability across inshore/offshore reef habitats to predict the response of the CaCO3 budget of coral reefs in the SEFCRI region to ocean acidification. This data set includes all of the seawater samples that were collected and analyzed to identify the carbonate chemistry in this region.", + "id": "gov.noaa.nodc:GHRSST-EUR-L4UHRfnd-NWE-ODYSSEA_1.0", + "title": "GHRSST Level 4 ODYSSEA North-Western Europe Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-01-23", + "end_date": "", + "bbox": "-13, 43, 9, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639472-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639472-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4UHRfnd-NWE-ODYSSEA_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the North-Western European shelves. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0157033_Not Applicable", - "title": "Atlantic Ocean Red Snapper Multi-gear CRP Project 2012 (NCEI Accession 0157033)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-07-25", - "end_date": "2012-12-04", - "bbox": "-81, 31, -76.5, 34", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377889-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377889-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXNzZXNzbWVudCBvZiBjb3JhbCByZWVmIGNvbW11bml0aWVzIGluIGhhd2FpaSwgbWF1aSwgYW5kIG9haHUgb2YgdGhlIG1haW4gaGF3YWlpYW4gaXNsYW5kcyBmcm9tIDIwMTAtMDMtMDggdG8gMjAxMS0xMS0wOCB1c2luZyB0aGUgbGluZS1wb2ludCBpbnRlcmNlcHQgKGxwaSkgbWV0aG9kIChuY2VpIGFjY2Vzc2lvbiAwMTY4OTEzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAxNjg5MTNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3OTEwNSwxXSIsInVtbSI6IltcImFzc2Vzc21lbnQgb2YgY29yYWwgcmVlZiBjb21tdW5pdGllcyBpbiBoYXdhaWksIG1hdWksIGFuZCBvYWh1IG9mIHRoZSBtYWluIGhhd2FpaWFuIGlzbGFuZHMgZnJvbSAyMDEwLTAzLTA4IHRvIDIwMTEtMTEtMDggdXNpbmcgdGhlIGxpbmUtcG9pbnQgaW50ZXJjZXB0IChscGkpIG1ldGhvZCAobmNlaSBhY2Nlc3Npb24gMDE2ODkxMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMTY4OTEzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzkxMDUsMV0ifQ%3D%3D/gov.noaa.nodc%3A0157033_Not%20Applicable", - "description": "This data set contains information useful for red snapper stock assessment. The data set provided has count, weight, length, and location available of caught red snapper, red grouper, and other reef fishes. Catches were greatest in waters off Georgia, and declined with increasing latitude off South Carolina and North Carolina.", + "id": "gov.noaa.nodc:GHRSST-GAMSSA_28km-ABOM-L4-GLOB_1.0", + "title": "GHRSST Level 4 GAMSSA_28km Global Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-08-24", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639772-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639772-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-GAMSSA_28km-ABOM-L4-GLOB_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers with in situ data from ships, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0157074_Not Applicable", - "title": "ACOUSTIC TRAVEL TIME collected as part of the Sub-Antarctic Flux and Dynamics Experiment (SAFDE) from March 1995 to March 1997 (NCEI Accession 0157074)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-03-20", - "end_date": "1997-03-28", - "bbox": "143.63333, -52.08133, 143.805, -47.99867", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378023-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378023-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0157074_Not%20Applicable", - "description": "Inverted echo sounder (IES) data were collected as part of the Sub-Antarctic Flux and Dynamics Experiment (SAFDE) during March 1995 -- March 1997 conducted south of Australia. The collection, processing and calibration of the IES data are described in the report provided. These are the highest quality versions of the data after the least amount of processing. Also provided are low-passed filtered versions that have been calibrated to a common pressure level in order that the data may be used together more conveniently. The measurements were made under the support of the National Science Foundation grants OCE9204041 and OCE9912320.", + "id": "gov.noaa.nodc:GHRSST-GMI-REMSS-L3U_8.2a", + "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from GMI onboard GPM satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2017-11-28", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641260-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641260-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-GMI-REMSS-L3U_8.2a", + "description": "The Global Precipitation Measurement (GPM) satellite was launched on February 27th, 2014 with the GPM Microwave Imager (GMI) instrument on board. The GPM mission is a joint effort between NASA, the Japan Aerospace Exploration Agency (JAXA) and other international partners. In march 2005, NASA has chosen the Ball Aerospace and Technologies Corp., Boulder, Colorado to build the GMI instrument on the continued success of the Tropical Rainfall Measuring Mission (TRMM) satellite by expanding current coverage of precipitation from the tropics to the entire world. GMI is a dual-polarization, multi-channel, conical-scanning, passive microwave radiometer with frequent revisit times. One of the primary differences between GPM and other satellites with microwave radiometers is the orbit, which is inclined 65 degrees, allowing a full sampling of all local Earth times repeated approximately every 2 weeks. The GPM platform undergoes yaw maneuvers approximately every 40 days to compensate for the sun's changing position and prevent the side of the spacecraft facing the sun from overheating. Today, the GMI instrument plays an essential role in the worldwide measurement of precipitation and environmental forecasting. Sea Surface Temperature (SST) is one of its major products. The GMI data from the Remote Sensing System (REMSS) have been produced using an updated RTM, Version-8. The V8 brightness temperatures from GMI are slightly different from the V7 brightness temperatures; The SST datasets are available in near-real time (NRT) as they arrive, with a delay of about 3 to 6 hours, including the Daily, 3-Day, Weekly, and Monthly time series products.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0157087_Not Applicable", - "title": "Behavior of parrotfishes (Labridae, Scarinae) in St. Croix from 2015-07-06 to 2015-07-26 (NCEI Accession 0157087)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-07-06", - "end_date": "2015-07-26", - "bbox": "-64.813, 17.759, -64.608, 17.787", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378063-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378063-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0157087_Not%20Applicable", - "description": "To better understand the functional roles of parrotfishes on coral reefs in the Caribbean this project documented the foraging behavior and diets of six species of parrotfishes (Scarus taeniopterus, Scarus vetula, Sparisoma aurofrenatum, Sparisoma chrysopterum, Sparisoma rubripinne, Sparisoma viride) at three locations (Long Reef, Cane Bay, and Buck Island) on the north shore of St. Croix, U. S. Virgin Islands. To quantify parrotfish behavior, approximately six individuals of each species were observed at each site for 20 min each. Foraging behavior was recorded by a SCUBA diver while towing a GPS receiver (Garmin GPS 72) attached to a surface float, which obtained position fixes of the focal fish at 15 s intervals. Fish were followed from a close distance (~ 2 m when possible), and food items were identified to the lowest taxonomic level possible, with macroalgae and coral usually identified to genus or species. Many bites involved scraping or excavating substrate colonized by a multi-species assemblage of filamentous \u00e2\u0080\u009cturf\u00e2\u0080\u009d algae and crustose coralline algae (CCA). Thus, multiple species of filamentous algae, endolithic algae, and CCA could be harvested in a single bite, and it was impossible to determine the specific species of algae targeted. We also recorded the type of substrate targeted during each foraging bout, categorizing each substrate as one of the following: (1) dead coral, (2) coral pavement, (3) boulder, (4) rubble, (5) ledge, or (6) sand. In order to quantify the relative abundance of different substrates and food types, we estimated the percent cover of algae, coral, and other sessile invertebrates on each of the six substrates commonly targeted by parrotfishes (dead coral, coral pavement, boulder, rubble, ledge, and sand) in 0.5 m x 0.5 m photoquadrats. Photographs were taken at 2.5 m intervals on 30 m transects, with a total of 10 haphazardly placed transects sampled at each site. Each photoquadrat was divided into sixteen 12 cm x 12 cm sections which were individually photographed, and percent cover was estimated from 9 stratified random points per section (N = 144 point per quadrat).", + "id": "gov.noaa.nodc:GHRSST-GOES13-OSISAF-L3C_1", + "title": "GHRSST Level 3C sub-skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES 13) Imager in East position produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2015-06-29", + "end_date": "2017-12-14", + "bbox": "135, -60, -15, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641711-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641711-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-GOES13-OSISAF-L3C_1", + "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the America Region (AMERICAS) based on retrievals from the GOES-13 Imager on board GOES-13 satellite. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES 13 in East position. GOES 13 imager level 1 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the GOES 13 infrared channels (3.9 and 10.8 micrometer) using a multispectral algorithm. Due to the lack of 12 micrometer channel in the GOES 13 imager, SST retrieval is not possible in daytime conditions. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 30 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating 30 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0157611_Not Applicable", - "title": "Benthic Images from Towed-Diver Surveys in the Main Hawaiian Islands to Assess the Mass Coral Bleaching Event from 2015-11-03 to 2015-11-18 (NCEI Accession 0157611)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-11-03", - "end_date": "2015-11-18", - "bbox": "-157.9472292, 19.748537, -155.829342, 21.3030689", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376905-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376905-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0157611_Not%20Applicable", - "description": "A team from the Pacific Islands Fisheries Science Center (PIFSC), Coral Reef Ecosystem Program (CREP) deployed on a two-week research cruise in November 2015 to evaluate the impacts of the 2015 mass coral bleaching event in the Main Hawaiian Islands via towed-diver surveys. Areas surveyed included south Oahu, west Maui, Lana\u00e2\u0080\u0099i, and west Hawaii island. Over the course of 10 survey days, the team surveyed approximately 90 km of 15-m wide transects at depths ranging from 2 to 10 m. Data provided in this dataset include benthic images that were collected during the towed-diver surveys from a camera that was mounted to the towboard. A downward-facing DSLR camera with strobes collected these photographic quadrat data by capturing an image of the benthos at 15-second intervals during the surveys. Two additional datasets were collected during the surveys and are documented separately. Towed divers recorded visual estimates of percentage of live coral that was pale and bleached, as well as presence/absence data of condition by generic composition. Oceanographic data was collected continuously throughout each survey with a suite of sensors mounted to the towboard recording conductivity, temperature, depth, flourometry (chlorophyll-a), turbidity and dissolved oxygen.", + "id": "gov.noaa.nodc:GHRSST-GOES16-OSISAF-L3C_1", + "title": "GHRSST L3C OSISAF SSTskin dataset v1.0 from GOES16 ABI in East position (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2018-10-02", + "end_date": "", + "bbox": "-135, -60, -15, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640438-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640438-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-GOES16-OSISAF-L3C_1", + "description": "The data is regional and part of the High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset covering the America Region (AMERICAS) based on retrievals from the Advanced Baseline Imager (ABI) on board the Geostationary Operational Environmental Satellite-16 (GOES-16). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES-16 in the Eastern position. GOES-16 Imager level 1 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. The new GOES-East platform (GOES-16) enables daytime SST calculations (whereas, previously, GOES East SST was restricted to nighttime conditions). The GOES-16 SST is derived from three-bands (centered at 8.4, 10.3, and 12.3 um) algorithm. The ABI split-window configuration features three bands instead of the two found in heritage sensors. This offers additional potential but also may present a challenge if the two end bands centered at 10.3 and 12.3 um are pushed too far in the absorption lines. The 8.5-um is used in conjunction with the 10.3-um and 12.3-um bands for improved thin cirrus detection as well as for better atmospheric moisture correction in relatively dry atmospheres. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Each 30-minute observation interval is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating 30-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0159386_Not Applicable", - "title": "Airborne eXpendable BathyThermographs (AXBT) data from Ocean Surveys in the Gulf of Mexico during Hurricane Lili 2002-10-02 to 2002-10-04 (NCEI Accession 0159386)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-10-02", - "end_date": "2002-10-04", - "bbox": "-88.672, 22.203, -84.062, 26.433", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377618-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377618-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0159386_Not%20Applicable", - "description": "Airborne eXpendable BathyThermographs (AXBT) data from deployments during field operations to study Hurricane Lili. The data were used in model simulations for Uhlhorn and Shay (2013). This dataset contains water temperature and depth data for this cruise.", + "id": "gov.noaa.nodc:GHRSST-IASI_SST_METOP_A-OSISAF-L2P_1", + "title": "GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-A satellite produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2015-06-29", + "end_date": "2016-02-23", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641256-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641256-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-IASI_SST_METOP_A-OSISAF-L2P_1", + "description": "A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-A (MetOp-A) satellite (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures in the infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to 40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morning orbit (9:30 Local Solar Time equator crossing, descending node) global observations can be provided twice a day. The SST retrieval is performed and provided by the IASI L2 processor at EUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0159419_Not Applicable", - "title": "ADCP, CTD, MIDAS, and cruise track data collected from R/V Pelican in Galveston and Trinity Bay, Texas and the Gulf of Mexico from 2013-10-17 to 2013-10-20 (NCEI Accession 0159419)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2013-10-17", - "end_date": "2013-10-20", - "bbox": "-94.9828, 26.16133, -88, 29.69641", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377667-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377667-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0159419_Not%20Applicable", - "description": "Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, October 17-20 2013, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE14-10b was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27\u00c2\u00b058'N to 29\u00c2\u00b026'N and 87\u00c2\u00b034'W to 91\u00c2\u00b001'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data.", + "id": "gov.noaa.nodc:GHRSST-IASI_SST_METOP_B-OSISAF-L2P_1", + "title": "GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-B satellite produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2016-02-20", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639864-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639864-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-IASI_SST_METOP_B-OSISAF-L2P_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-B (MetOp-B) satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures in the infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to 40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morning orbit (9:30 Local Solar Time equator crossing, descending node) global observations can be provided twice a day. The SST retrieval is performed and provided by the IASI L2 processor at EUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0159850_Not Applicable", - "title": "Burrowing behavior of penaeid shrimps in the Gulf of Mexico from 1984-10-01 to 1985-12-06 (NCEI Accession 0159850)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-10-01", - "end_date": "1985-12-06", - "bbox": "-94.815127, 29.275417, -94.815127, 29.275417", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377792-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377792-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0159850_Not%20Applicable", - "description": "This data set contains hourly visual observations of burrowing behavior in penaeid shrimp.", + "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Ad_1", + "title": "GHRSST Level 4 RTO Aqua MODIS-AMSRE Day North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2010-12-30", + "end_date": "2012-09-13", + "bbox": "-165, -20, -30, 62", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639981-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639981-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Ad_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Aqua and AMSRE composite using daytime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0161311_Not Applicable", - "title": "A Comprehensive Inventory of Alabama Coastal Zone Wetland Habitats (Swamps, Marshes, Submersed Grassbeds) from 1980 to 1982 (NCEI Accession 0161311)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-01-01", - "end_date": "1982-12-31", - "bbox": "-88.431, 30.2129, -87.328, 31.0701", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378452-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378452-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0161311_Not%20Applicable", - "description": "Digitized maps of Mobile Bay and other coastal areas of Alabama, showing habitat types and species compositions of the vegetation in three broad categories of wetland: swamps, marshes, and submersed grassbeds. All areas in the Alabama Coastal Zone of less than 10 feet elevation above sea level, up to the fork of the Tombigbee and Alabama Rivers, were included in the inventory. Habitat boundary delineations were based on aerial photographs from 1979 and 1980, with transects by boat or foot for field verification in 1980-1982. Dataset includes habitat type classifications based on species compositions, and identifications of dominant species at each location.", + "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_An_1", + "title": "GHRSST Level 4 RTO Aqua MODIS-AMSRE Night North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2010-12-30", + "end_date": "2012-09-20", + "bbox": "-165, -20, -30, 62", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640072-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640072-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_An_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Aqua and AMSRE composite using nighttime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0161523_Not Applicable", - "title": "Biological, chemical, physical and time series data collected from station WQB04 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2010-10-23 to 2016-12-31 (NCEI Accession 0161523)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-10-23", - "end_date": "2016-12-31", - "bbox": "-155.082, 19.7341, -155.082, 19.7341", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378474-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378474-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwsIGdlb2xvZ2ljYWwsIGFuZCBvdGhlciBkYXRhIHdlcmUgY29sbGVjdGVkIGZyb20gdGhlIHIvdiBraXR0aXdha2UgYXQgMTAwIHNpdGVzIGluIHB1Z2V0IHNvdW5kIGZyb20gMDEganVuZSAxOTk4IHRvIDAxIGp1bHkgMTk5OCBhcyBwYXJ0IG9mIGEgdGhyZWUteWVhciBzdHVkeSBvZiB0b3hpbnMgKG5jZWkgYWNjZXNzaW9uIDAwMDA0MjUpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDQyNVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0ODg3LDFdIiwidW1tIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwsIGdlb2xvZ2ljYWwsIGFuZCBvdGhlciBkYXRhIHdlcmUgY29sbGVjdGVkIGZyb20gdGhlIHIvdiBraXR0aXdha2UgYXQgMTAwIHNpdGVzIGluIHB1Z2V0IHNvdW5kIGZyb20gMDEganVuZSAxOTk4IHRvIDAxIGp1bHkgMTk5OCBhcyBwYXJ0IG9mIGEgdGhyZWUteWVhciBzdHVkeSBvZiB0b3hpbnMgKG5jZWkgYWNjZXNzaW9uIDAwMDA0MjUpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDQyNVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0ODg3LDFdIn0%3D/gov.noaa.nodc%3A0161523_Not%20Applicable", - "description": "NCEI Accession 0161523 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB04: PacIOOS Water Quality Buoy 04 (WQB-04): Hilo Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB04 is located in Hilo Bay on the east side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill.", + "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Td_1", + "title": "GHRSST Level 4 RTO Terra MODIS-AMSRE Day North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2010-12-30", + "end_date": "2012-09-13", + "bbox": "-165, -20, -30, 62", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639976-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639976-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Td_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Terra and AMSRE composite using daytime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0162518_Not Applicable", - "title": "ADCP, CTD, and MIDAS data collected from Ewing and Sackett Gulf Deep Banks, Gulf of Mexico on the R/V Pelican in Gulf of Mexico from 2012-11-15 to 2012-11-17 (NCEI Accession 0162518)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-11-15", - "end_date": "2012-11-17", - "bbox": "-91.20748, 27.49168, -89, 29.0029", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380274-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380274-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0162518_Not%20Applicable", - "description": "Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, November 15-17 2012, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE13-14 was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27\u00c2\u00b058'N to 29\u00c2\u00b026'N and 87\u00c2\u00b034'W to 91\u00c2\u00b001'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data.", + "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Tn_1", + "title": "GHRSST Level 4 RTO Terra MODIS-AMSRE Night North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2010-12-30", + "end_date": "2012-09-20", + "bbox": "-165, -20, -30, 62", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639990-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639990-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Tn_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Terra and AMSRE composite using nighttime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0162828_Not Applicable", - "title": "Benthic cover derived from analysis of benthic images collected at coral reef sites in Batangas, Philippines from 2015-05-23 to 2015-06-03 (NCEI Accession 0162828)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-05-23", - "end_date": "2015-06-03", - "bbox": "120.872, 13.6586, 120.895, 13.7281", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380438-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380438-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVhdWZvcnQgZ3lyZSBoeWRyb2dyYXBoaWMgZGF0YTogdGVtcGVyYXR1cmUsIHNhbGluaXR5IGFuZCB0cmFuc21pc3Npdml0eSBkYXRhIGZyb20gdGhlIGxvdWlzIHMgc3QuIGxhdXJlbnQgaW4gdGhlIGFyY3RpYyBvY2VhbiwgMjAwMyAtIDIwMDggKG5jZWkgYWNjZXNzaW9uIDAwNTgyNjgpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA1ODI2OFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0NzUxLDFdIiwidW1tIjoiW1wiYmVhdWZvcnQgZ3lyZSBoeWRyb2dyYXBoaWMgZGF0YTogdGVtcGVyYXR1cmUsIHNhbGluaXR5IGFuZCB0cmFuc21pc3Npdml0eSBkYXRhIGZyb20gdGhlIGxvdWlzIHMgc3QuIGxhdXJlbnQgaW4gdGhlIGFyY3RpYyBvY2VhbiwgMjAwMyAtIDIwMDggKG5jZWkgYWNjZXNzaW9uIDAwNTgyNjgpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA1ODI2OFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0NzUxLDFdIn0%3D/gov.noaa.nodc%3A0162828_Not%20Applicable", - "description": "The benthic cover data described here result from benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in 2015 along transects at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) over time. Benthic habitat photographs were quantitatively analyzed using a web-based annotation tool called CoralNet (Beijbom et al. 2016). Images were analyzed to produce three functional group levels of benthic cover: Tier 1 (e.g., hard coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Hard Coral = massive, branching, foliose, encrusting, etc.; Macroalgae = upright macroalgae, encrusting macroalgae, bluegreen macroalgae, and Halimeda, etc.), and Tier 3 (e.g., Hard Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). These benthic cover data for the Philippines provide an estimate of the benthic community composition at each climate survey site, and give context to the results from the other climate survey components (archived separately).", + "id": "gov.noaa.nodc:GHRSST-JPL-L4UHfnd-NCAMERICA-MUR_1", + "title": "GHRSST Level 4 MUR North America Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-04-01", + "end_date": "2010-03-31", + "bbox": "-165, -20, -30, 62", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640197-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640197-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHfnd-NCAMERICA-MUR_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). The Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments such as: the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center. This dataset is funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio Chin from JPL.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0162829_Not Applicable", - "title": "Assessing cryptic reef diversity of colonizing marine invertebrates using Autonomous Reef Monitoring Structures (ARMS) deployed at coral reef sites in Batangas, Philippines from 2012-03-12 to 2015-05-31 (NCEI Accession 0162829)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-03-12", - "end_date": "2015-05-31", - "bbox": "120.871943, 13.658594, 120.895127, 13.728054", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380450-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380450-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0162829_Not%20Applicable", - "description": "Autonomous Reef Monitoring Structures (ARMS) are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time. The data described here were collected by CREP from ARMS moored at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from March 2012 to June 2015, and three ARMS units were deployed by SCUBA divers at each survey site. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 \u00c2\u00b5m, and 100 \u00c2\u00b5m. The 500 \u00c2\u00b5m and 100 \u00c2\u00b5m fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies. The DNA sequencing data are not included in this archival package.", + "id": "gov.noaa.nodc:GHRSST-JPL_OUROCEAN-L4UHfnd-GLOB-G1SST_1", + "title": "GHRSST Level 4 G1SST Global Foundation Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2010-06-09", + "end_date": "2020-01-18", + "bbox": "-180, -80, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640160-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640160-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-JPL_OUROCEAN-L4UHfnd-GLOB-G1SST_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the JPL OurOcean group using a multi-scale two-dimensional variational (MS-2DVAR) blending algorithm on a global 0.009 degree grid. This Global 1 km SST (G1SST) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Geostationary Operational Environmental Satellite (GOES) Imager, the Multi-Functional Transport Satellite 1R (MTSAT-1R) radiometer, and in situ data from drifting and moored buoys.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0162830_Not Applicable", - "title": "Benthic images collected at coral reef sites in Batangas, Philippines from 2012-03-13 to 2012-03-15 and from 2015-05-24 to 2015-06-03 (NCEI Accession 0162830)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-03-13", - "end_date": "2015-06-03", - "bbox": "120.872, 13.6586, 120.895, 13.7281", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380458-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380458-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0162830_Not%20Applicable", - "description": "Photographs of the seafloor were collected during benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in 2012 and 2015 along transects at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) over time. The imagery from 2015 has been quantitatively analyzed using image analysis software to derive an estimate of percent benthic cover (archived separately).", + "id": "gov.noaa.nodc:GHRSST-K10_SST-NAVO-L4-GLOB_1.0", + "title": "GHRSST Level 4 K10_SST Global 10 km Analyzed Sea Surface Temperature from Naval Oceanographic Office (NAVO) (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-04-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641647-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641647-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-K10_SST-NAVO-L4-GLOB_1.0", + "description": "This is a Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis dataset produced daily on an operational basis by the Naval Oceanographic Office (NAVO) on a global 0.1x0.1 degree grid. The K10 (NAVO 10-km gridded SST analyzed product) L4 analysis uses SST observations from the following instruments: Advanced Very High Resolution Radiometer (AVHRR), Visible Infrared Imaging Radiometer Suite (VIIRS), and Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The AVHRR data for this comes from the MetOp-A, MetOp-B, and NOAA-19 satellites; VIIRS data is sourced from the Suomi_NPP satellite; SEVIRI data comes from the Meteosat-8 and -11 satellites. The age (time-lag), reliability, and resolution of the data are used in the weighted average with the analysis tuned to represent SST at a reference depth of 1-meter. Input data from the AVHRR Pathfinder 9km climatology dataset (1985-1999) is used when no new satellite SST retrievals are available after 34 days. Comparing with its predecessor, this updated dataset has no major changes in Level-4 interpolated K10 algorithm, except for using different satellite instrument data, and updating metadata and file format. The major updates include: (a) updated and enhanced the granule-level metadata information, (b) converted the SST file from GHRSST Data Specification (GDS) v1.0 to v2.0, (c) added the sea_ice_fraction variable to the product, and (d) updated the filename convention to reflect compliance with GDS v2.0.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0162831_Not Applicable", - "title": "Calcification rates of crustose coralline algae (CCA) derived from Calcification Accretion Units (CAUs) deployed at coral reef sites in Batangas, Philippines in 2012 and recovered in 2015 (NCEI Accession 0162831)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-03-13", - "end_date": "2015-06-03", - "bbox": "120.872, 13.6586, 120.895, 13.7281", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380467-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380467-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0162831_Not%20Applicable", - "description": "Laboratory experiments reveal calcification rates of crustose coralline algae (CCA) are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. Calcification accretion units, or CAUs, are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. CAUs, constructed in-house by CREP, are composed of two 10 x 10 cm flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos by SCUBA divers using stainless steel threaded rods. Deployed on the seafloor for a period of time, calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over time. By measuring the change in weight of the CAUs, the reef carbonate accretion rate can be calculated for that time period. The calcification rate data described here were collected by CREP from CAUs moored at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines, in accordance with protocols developed by Price et al. (2012). Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from March 2012 to June 2015, and five CAUs were deployed at each survey site. In conjunction with benthic community composition data (archived separately), these data serve as a baseline for detecting changes associated with changing seawater chemistry due to ocean acidification within coral reef environments.", + "id": "gov.noaa.nodc:GHRSST-MODIS_A-JPL-L2P_2019.0", + "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua satellite (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-06-30", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642620-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642620-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-MODIS_A-JPL-L2P_2019.0", + "description": "NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 1:30 pm, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. MODIS L2P SST data have a 1 km spatial resolution at nadir and are stored in 288 five minute granules per day. Full global coverage is obtained every two days, with coverage poleward of 32.3 degree being complete each day. The production of MODIS L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS are responsible for SST algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of daily MODIS ocean products. JPL acquires MODIS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and ancillary variables, and distributes the data as the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous R2014.0 datasets.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0163192_Not Applicable", - "title": "A Comparison of the foraging ecology and bioenergetics of the early life-stages of two sympatric hammerhead sharks from 1998-07-12 to 2005-07-27 (NCEI Accession 0163192)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-07-12", - "end_date": "2005-07-27", - "bbox": "-86.2279, 27.4432, -80.1996, 30.7692", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380703-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380703-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYSBjb21iaW5lZCBnbG9iYWxseSBtYXBwZWQgY2FyYm9uIGRpb3hpZGUgKGNvMikgZmx1eCBlc3RpbWF0ZSBiYXNlZCBvbiB0aGUgc3VyZmFjZSBvY2VhbiBjbzIgYXRsYXMgZGF0YWJhc2UgKHNvY2F0KSBhbmQgc291dGhlcm4gb2NlYW4gY2FyYm9uIGFuZCBjbGltYXRlIG9ic2VydmF0aW9ucyBhbmQgbW9kZWxpbmcgKHNvY2NvbSkgYmlvZ2VvY2hlbWlzdHJ5IGZsb2F0cyBmcm9tIDE5ODIgdG8gMjAxNyAobmNlaSBhY2Nlc3Npb24gMDE5MTMwNClcIixcIk5PQUFfTkNFSVwiLFwiMTAuMjU5MjEvOWhzbi14cTgyXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzc1NTUsMV0iLCJ1bW0iOiJbXCJhIGNvbWJpbmVkIGdsb2JhbGx5IG1hcHBlZCBjYXJib24gZGlveGlkZSAoY28yKSBmbHV4IGVzdGltYXRlIGJhc2VkIG9uIHRoZSBzdXJmYWNlIG9jZWFuIGNvMiBhdGxhcyBkYXRhYmFzZSAoc29jYXQpIGFuZCBzb3V0aGVybiBvY2VhbiBjYXJib24gYW5kIGNsaW1hdGUgb2JzZXJ2YXRpb25zIGFuZCBtb2RlbGluZyAoc29jY29tKSBiaW9nZW9jaGVtaXN0cnkgZmxvYXRzIGZyb20gMTk4MiB0byAyMDE3IChuY2VpIGFjY2Vzc2lvbiAwMTkxMzA0KVwiLFwiTk9BQV9OQ0VJXCIsXCIxMC4yNTkyMS85aHNuLXhxODJcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3NzU1NSwxXSJ9/gov.noaa.nodc%3A0163192_Not%20Applicable", - "description": "This Archival Information Package (AIP) contains basic biological information on bonnethead and scalloped hammerhead sharks with specific (by stomach and prey item) diet information for these two species. Data were collected by the NMFS Southeast Fisheries Science Center; Panama City, FL Laboratory in the Northeast Gulf of Mexico and the Atlantic Ocean off the coast of Florida from 1998 to 2005. Data are in comma separated value (CSV) format and include length, sex, and number of prey items.", + "id": "gov.noaa.nodc:GHRSST-MODIS_T-JPL-L2P_2019.0", + "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Terra satellite (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-10-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640705-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640705-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-MODIS_T-JPL-L2P_2019.0", + "description": "NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite. Terra was launched by NASA on December 18, 1999, into a sun synchronous, polar orbit with a daylight descending node at 10:30 am, to study the global dynamics of the Earth atmosphere, land and oceans. The MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity with SST derived from heritage and current NASA sensors. At night, a second SST product is produced using the mid-infrared 3.95 and 4.05 micron channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be produced at night. MODIS L2P SST data have a 1 km spatial resolution at nadir and are stored in 288 five minute granules per day. Full global coverage is obtained every two days, with coverage poleward of 32.3 degree being complete each day. The production of MODIS L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project, and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS are responsible for SST algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of daily MODIS ocean products. JPL acquires MODIS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and ancillary variables, and distributes the data as the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous R2014.0 datasets.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0163212_Not Applicable", - "title": "Acoustic Travel Time and Hydrostatic Pressure in Sermilik Fjord in Southeastern Greenland from 2011-08-23 to 2016-08-11 (NCEI Accession 0163212)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2011-08-23", - "end_date": "2016-08-11", - "bbox": "-37.8998, 65.5268, -37.6336, 66.2449", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380760-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380760-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0163212_Not%20Applicable", - "description": "These data records are time series of (1) round trip surface to bottom acoustic travel time, (2) bottom pressure and (3) bottom temperature (with the latter internal to the instrument). The first goal in collecting these data was to develop and test non-traditional methods to measure the time-varying \u00e2\u0080\u00a8heat content and vertical temperature profiles in high-latitude seas, shelves, and fjords using pressure-sensor-equipped inverted echo sounders (PIESs). The second goal was to use PIESs to measure icebergs and sea ice. We developed these methods with data collected in Sermilik Fjord in southeastern Greenland from a 1-year pilot deployment with 1 PIES (deployed mid fjord from 2011 to 2012) and data collected in a full deployment with 3 PIESs (deployed on the shelf by the fjord mouth, mid-fjord and in the upper fjord from 2013-2015/2016). The data format is NetCDF with CF-1.6 conventions.", + "id": "gov.noaa.nodc:GHRSST-MUR-JPL-L4-GLOB_4.1", + "title": "GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2002-06-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642059-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642059-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-MUR-JPL-L4-GLOB_4.1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel. This dataset is funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata \"history:\" attribute to determine if a granule is near-realtime or retrospective.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0163750_Not Applicable", - "title": "Biological, chemical and other data collected from station Humboldt Bay Pier by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2012-12-13 to 2018-03-07 (NCEI Accession 0163750)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-12-13", - "end_date": "2018-03-07", - "bbox": "-124.19652, 40.7775, -124.19652, 40.7775", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376545-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376545-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0163750_Not%20Applicable", - "description": "NCEI Accession 0163750 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Humboldt Bay Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-MUR25-JPL-L4-GLOB_4.2", + "title": "GHRSST Level 4 MUR 0.25deg Global Foundation Sea Surface Temperature Analysis (v4.2) (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2017-12-20", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645212-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645212-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-MUR25-JPL-L4-GLOB_4.2", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.25 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains an additional SST anomaly variable derived from a MUR climatology (average between 2003 and 2014). This dataset was originally funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects) and the NASA CEOS COVERAGE project and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0163764_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian River Lagoon - Link Port (IRL-LP) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-01 (NCEI Accession 0163764)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-07", - "end_date": "2020-06-01", - "bbox": "-80.34311, 27.53483, -80.34311, 27.53483", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376573-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376573-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0163764_Not%20Applicable", - "description": "NCEI Accession 0163764 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Link Port (IRL-LP) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-MW_IR_OI-REMSS-L4-GLOB_5.0", + "title": "GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2005-08-21", + "end_date": "", + "bbox": "-179, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645711-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645711-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-MW_IR_OI-REMSS-L4-GLOB_5.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from both microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite, and infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platform and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP satellite. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0164194_Not Applicable", - "title": "Biogeochemical and microbiological variables measured by CTD and Niskin bottles from the Hermano Gines in the Caribbean Sea for the CARIACO Ocean Time-Series Program from 1995-11-13 to 2015-11-14 (NCEI Accession 0164194)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-11-13", - "end_date": "2015-11-14", - "bbox": "-65.587, 10.45, -64.54, 10.716", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377236-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377236-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0164194_Not%20Applicable", - "description": "The goal of this project was to examine the interrelationship between microbial activity and water column geochemistry in the world\u00e2\u0080\u0099s largest, truly marine anoxic system, the Cariaco Basin. This project focused on microbial cycling of carbon, sulfur, and nitrogen occurring at depths where waters transition from oxic to anoxic to sulfidic. Over the 21 year program, the Stony Brook team typically staged cruises semi-annually during upwelling (Mar-May) and non- upwelling (Oct-Nov) periods. These 24-hour cruises were usually within a week of the routine monthly cruises staged by the Fundacion La Salle and University of South Florida team. Most cruises occupied only the CARIACO Ocean Time-Series station. On cruises 108 to 132, additional stations in the western basin and on the sill to the north of the Cariaco station were also sampled. Locations are given in the database. Data provided in a single MS Excel spreadsheet.", + "id": "gov.noaa.nodc:GHRSST-MW_OI-REMSS-L4-GLOB_5.0", + "title": "GHRSST Level 4 MW_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2003-06-17", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641506-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641506-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDQgbXVyIDAuMjVkZWcgZ2xvYmFsIGZvdW5kYXRpb24gc2VhIHN1cmZhY2UgdGVtcGVyYXR1cmUgYW5hbHlzaXMgKHY0LjIpIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtTVVSMjUtSlBMLUw0LUdMT0JcIixcIjQuMlwiLDIyMTM2NDUyMTIsMV0iLCJ1bW0iOiJbXCJnaHJzc3QgbGV2ZWwgNCBtdXIgMC4yNWRlZyBnbG9iYWwgZm91bmRhdGlvbiBzZWEgc3VyZmFjZSB0ZW1wZXJhdHVyZSBhbmFseXNpcyAodjQuMikgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1NVVIyNS1KUEwtTDQtR0xPQlwiLFwiNC4yXCIsMjIxMzY0NTIxMiwxXSJ9/gov.noaa.nodc%3AGHRSST-MW_OI-REMSS-L4-GLOB_5.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.25-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST). This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0165016_Not Applicable", - "title": "Benthic Surveys in Vatia, American Samoa: comprehensive assessment of coral demography (adult and juvenile corals) from belt transect surveys between 2015-11-02 and 2015-11-12 (NCEI Accession 0165016)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-11-02", - "end_date": "2015-11-12", - "bbox": "-170.674, -14.2501, -170.667, -14.2432", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377923-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377923-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVudGhpYyBvcmdhbmlzbXMgZGF0YSBjb2xsZWN0ZWQgdXNpbmcgc2VkaW1lbnQgc2FtcGxlciBjYXN0cyBmcm9tIG5vYWEgc2hpcCBvY2Vhbm9ncmFwaGVyIGluIHRoZSBjaHVrY2hpIHNlYSBmcm9tIDE5ODYtMDktMDYgdG8gMTk4Ny0xMC0wNSAobmNlaSBhY2Nlc3Npb24gODkwMDI5OSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4OTAwMjk5XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODgyNzUsMV0iLCJ1bW0iOiJbXCJiZW50aGljIG9yZ2FuaXNtcyBkYXRhIGNvbGxlY3RlZCB1c2luZyBzZWRpbWVudCBzYW1wbGVyIGNhc3RzIGZyb20gbm9hYSBzaGlwIG9jZWFub2dyYXBoZXIgaW4gdGhlIGNodWtjaGkgc2VhIGZyb20gMTk4Ni0wOS0wNiB0byAxOTg3LTEwLTA1IChuY2VpIGFjY2Vzc2lvbiA4OTAwMjk5KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjg5MDAyOTlcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4ODI3NSwxXSJ9/gov.noaa.nodc%3A0165016_Not%20Applicable", - "description": "Jurisdictional managers have expressed concerns that nutrients from the village of Vatia, Tutuila, American Samoa, are having an adverse effect on the adjacent coral reef ecosystem. Excess nutrient loads promote increases in algal growth that can have deleterious effects on corals, such as benthic algae outcompeting and overgrowing corals. Nitrogen and phosphorus can also directly impact corals by lowering fertilization success, and reducing both photosynthesis and calcification rates. Land-based contributions of nutrients come from a variety of sources; in Vatia the most likely sources are poor wastewater management from piggeries and septic systems. NOAA scientists conducted benthic surveys to establish a baseline against which to compare changes in the algal and coral assemblages in response to nutrient fluxes. The data described here were collected via belt transect surveys of coral demography (adult and juvenile corals) by the NOAA Coral Reef Ecosystem Program (CREP) according to protocols established by the NOAA National Coral Reef Monitoring Program (NCRMP). In 2015 data were collected at 18 stratified randomly selected sites in Vatia Bay. These data include: 1) an assessment of coral colony density and size-class distribution for the selected monitoring sites; 2) an assessment of coral recruitment at the monitoring sites; and 3) an evaluation of coral colony condition, including mortality, disease, bleaching, and evidence of sediment stress. These data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Additionally, photoquadrat benthic images were collected and analyzed for benthic cover composition (documented and archived separately). A brief report documenting the 2015 surveys conducted in Vatia and Faga'alu in Tutuila, American Samoa by the NOAA Coral Reef Ecosystem Program is in progress: Baseline Assessment of Coral Reef Community Structure and Demographics in Vatia and Faga\u00e2\u0080\u0098alu Bays, American Samoa.", + "id": "gov.noaa.nodc:GHRSST-NAVO-L2P-AVHRR17_G_1.0", + "title": "GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NAVO (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-06-21", + "end_date": "2009-07-06", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642648-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642648-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-NAVO-L2P-AVHRR17_G_1.0", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched 24 June 2002) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. This particular dataset is produced from GAC data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0166378_Not Applicable", - "title": "Benthic images collected at coral reef sites in Timor-Leste from 2012-10-15 to 2014-10-09 (NCEI Accession 0166378)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-10-15", - "end_date": "2014-10-09", - "bbox": "124, -9.5, 127.5, -8.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378377-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378377-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0166378_Not%20Applicable", - "description": "Photographs of the seafloor were collected during benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in hard bottom shallow water (< 15 m) habitats in Timor-Leste. Photographs were collected along transects at fixed climate survey sites in October 2012 and September-October 2014 (10 sites and 8 sites, respectively), and during reef fish surveys surveys at 150 sites that were selected using a stratified random sampling design in June 2013. Climate sites were established by CREP to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. The reef fish surveys were conducted to generate baseline data on the nearshore coral reef fish assemblages and associated benthic communities around Timor-Leste's north coast and Atauro Island. The photographs can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The imagery from 2013 and 2014 has been quantitatively analyzed using image analysis software to derive an estimate of percent benthic cover. The benthic cover data, and the associated reef fish survey data and parameters measured to establish ecological baselines for climate change are archived separately.", + "id": "gov.noaa.nodc:GHRSST-NAVO-L2P-AVHRR17_L_1.0", + "title": "GHRSST Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NAVO (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-06-21", + "end_date": "2008-09-16", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643925-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643925-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-NAVO-L2P-AVHRR17_L_1.0", + "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched 24 June 2002) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0167532_Not Applicable", - "title": "Bathymetry and acoustic backscatter data collected in Long Island Sound for the Phase III Long Island Sound Seafloor Mapping Project 2015 (NCEI Accession 0167532)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-09-23", - "end_date": "2015-10-18", - "bbox": "-73.610512, 40.91869, -73.448063, 41.032022", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378776-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378776-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0167532_Not%20Applicable", - "description": "This dataset contains multibeam bathymetry, uncertainty, and backscatter GeoTiffs with 1x1 meter cell size represent water depth and acoustic intensity of the seafloor from the Phase III Long Island Sound Benthic Habitat Priority Areas of Interest in the Long Island Sound. These datasets were surveyed by NOAA Ship Nancy Foster R-352 in 2015 using 400 khz Reson 7125 multibeam sonars in coordination with the NOAA Biogeography Branch and the Integrated Ocean and Coastal Mapping Branch. The multibeam was corrected, calibrated, and integrated into a seamless 32-bit raster using CARIS and ArcGIS. Backscatter data was collected and mosaicked into a raster using Fledermaus Geocoder Toolbox, ArcGIS 10.4, and PCI Geomatica 2016 software at the Biogeography Branch by NOAA contractors.", + "id": "gov.noaa.nodc:GHRSST-NAVO-L2P-AVHRR18_L_1.0", + "title": "GHRSST Level 2P Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite produced by NAVO (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-01-25", + "end_date": "2009-09-09", + "bbox": "-180, -70, 180, 80", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641263-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641263-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NAVO-L2P-AVHRR18_L_1.0", + "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched 20 May 2005) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0167946_Not Applicable", - "title": "Bathymetry and acoustic backscatter collected in Long Island Sound for the Phase I Long Island Sound Seafloor Mapping Project 2014 (NCEI Accession 0167946)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-11-12", - "end_date": "2014-04-21", - "bbox": "-73.1979, 40.96307, -72.951, 41.15855", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378909-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378909-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0167946_Not%20Applicable", - "description": "This dataset contains an integrated GeoTiff with 1x1 meter cell size representing the 2014 Long Island Sound Benthic Habitat Priority Area of Interest between Brigeport, CT and Port Jefferson, NY. This integrated bathymetric raster is a mosaic of surveys from NOAA Ship Thomas Jefferson (S-222) and its two inshore launch vessels, NOAA Ship Rude (S-590), as well as surveys conducted by the Stony Brook University R/V Pritchard in coordination with the NOAA Biogeography Branch and the Office of Coastal Services between in the year 2012. Bathymetry data was collected using multibeam sonars and integrated into a seamless 32 bit raster using ArcGIS 10.1 raster calculator by the Biogeography Branch by a NOAA contractor.", + "id": "gov.noaa.nodc:GHRSST-NCDC-L4LRblend-GLOB-AVHRR_AMSR_OI_1.0", + "title": "GHRSST Level 4 AVHRR_AMSR_OI Global Blended Sea Surface Temperature Analysis (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2002-06-01", + "end_date": "2011-10-05", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642150-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642150-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-NCDC-L4LRblend-GLOB-AVHRR_AMSR_OI_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.25 degree grid at the NOAA National Climatic Data Center. This product uses optimal interpolation (OI) using data from the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5 time series (when available, otherwise operational NOAA AVHRR data are used), the Advanced Microwave Scanning Radiometer-EOS (AMSR-E), and in situ ship and buoy observations. A second similar product is available back to 1981 that includes only in situ and AVHRR Pathfinder data in its analysis. The OI analysis is a daily average SST that is bias adjusted using a spatially smoothed 7-day in situ SST average and is thus tuned to about 0.3 meter. Both day and night satellite fields are independently bias adjusted. More information is available at http://www.ncdc.noaa.gov/oa/climate/research/sst/oi-daily.php.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0168620_Not Applicable", - "title": "Benthic percent cover derived from analysis of benthic images collected at coral reef sites in Timor-Leste in 2013 and 2014 (NCEI Accession 0168620)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2013-06-04", - "end_date": "2014-10-09", - "bbox": "124, -9.5, 127.5, -8.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379015-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379015-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0168620_Not%20Applicable", - "description": "The benthic cover data described here result from benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in hard bottom shallow water (< 15 m) habitats in Timor-Leste during reef fish surveys surveys at 150 sites that were selected using a stratified random sampling design in June 2013, and along transects at fixed climate survey sites in September-October 2014 (10 sites and 8 sites, respectively). Climate sites were established by CREP to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. The reef fish surveys were conducted to generate baseline data on the nearshore coral reef fish assemblages and associated benthic communities around Timor-Leste's north coast and Atauro Island. Percent benthic cover for each site is estimated from a photo-transect (30 photographs, taken at 1-m intervals, 10+ points analyzed per photograph using Coral Point Count with Extensions). NA values represent situations where images were either not gathered or not analyzed. These benthic cover data for Timor-Leste provide an estimate of the benthic community composition at each survey site, and give context to the results from the other survey components. The benthic images, and the associated reef fish survey data and parameters measured to establish ecological baselines for climate change are documented separately.", + "id": "gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L_1", + "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-05-31", + "end_date": "2010-05-18", + "bbox": "-60, 24, 60, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643943-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643943-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L_1", + "description": "A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0168912_Not Applicable", - "title": "Belt transect surveys of coral populations and disease assessments in Hawaii, Maui, and Oahu from 2010-03-08 to 2011-11-08 (NCEI Accession 0168912)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-03-08", - "end_date": "2011-11-08", - "bbox": "-157.826, 19.3692, -155.849, 21.4769", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379097-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379097-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0168912_Not%20Applicable", - "description": "Coral belt transect surveys, focused at quantifying the relative abundance, density, and size-class distribution of the anthozoan and hydrozoan corals, as well as the condition and health state of the coral populations were conducted around the islands of Maui, Hawaii, and Oahu by the NOAA Coral Reef Ecosystem Program and the Hawaii Division of Aquatic Resources (DAR) from March 8, 2010 to November 8, 2011. The surveys were conducted along two pre-selected transect lines. For coral observations the transect length was 12 m long and the transect width was 1 m wide (0.5 m on each side of the transect line). For coral condition and health observations, the transect length was between 12.5 and 25 m long and the transect width was 1 m, 2 m or 4 m wide (0.5 m, 1.0 m, or 2.0 m on each side of the transect line). The surveyed area was 24 m^2 per site for the coral observations, and ranged from to 25 m^2 to 200 m^2 per site for the disease observations. Within each transect 1-m segments were surveyed, whereby in each segment all coral colonies whose center fell within 0.5 m of either side of the transect line were identified to the lowest taxonomic level possible (genus or species) and colony size visually estimated and binned by its maximum diameter in one of 7 size classes: 0-5 cm, 5-10 cm, 10-20 cm, 20-40 cm, 40-80 cm, 80-160 cm, or greater than 160 cm. When a coral colony exhibited signs of disease or compromised health, additional information was separately recorded. Within each of the two transects, all diseased coral colonies whose center fell within 0.5\u00e2\u0080\u00932 m on each side of each transect line were carefully examined, measured (length and width of the colony in centimeters, when survey time allowed), identified to the lowest taxonomic level possible, and assigned to one of several types of afflictions, including coral and algal diseases, bleaching, infections, infestations, discolorations, predation, pigmentation responses, skeletal growth anomalies, and tissue loss. Severity of the affliction (mild, moderate, marked, severe, acute) was also recorded for a subset of bleaching observations only. Photographic documentation was also captured (archived and documented separately). Raw survey data includes species presence, colony counts per taxon, colony size (binned sizes for coral observations, colony width and length for a subset of disease observations), affliction observed, and severity of condition (for observations of bleached corals only).", + "id": "gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR18_L_1", + "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite produced by NEODAAS (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-05-31", + "end_date": "2015-09-10", + "bbox": "-60, 24, 60, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641381-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641381-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR18_L_1", + "description": "A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched on 20 May 2005). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0168913_Not Applicable", - "title": "Assessment of coral reef communities in Hawaii, Maui, and Oahu of the Main Hawaiian Islands from 2010-03-08 to 2011-11-08 using the Line-point Intercept (LPI) method (NCEI Accession 0168913)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-03-08", - "end_date": "2011-11-08", - "bbox": "-157.826, 19.3692, -155.849, 21.4769", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379105-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379105-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0168913_Not%20Applicable", - "description": "This data package contains coral reef community composition data gathered during Line-Point-Intercept (LPI) surveys around the islands of Maui, Hawaii, and Oahu of the main Hawaiian Islands from March 8, 2010 to November 8, 2011 as part of a joint project with the NOAA Coral Reef Ecosystem Division (CRED) and the State of Hawaii Division of Aquatic Resources (DAR). The line-point-intercept (LPI) method (Hill and Wilkinson 2004) is used to assess the percentage of cover for live corals and other benthic elements. The surveys were conducted by a SCUBA diver swimming along two pre-selected 25-m transect lines, during which the benthic element falling directly beneath the transect line was recorded at 25- or 50-cm intervals for 100 or 50 total points/observations per transect, respectively. Benthic elements were assigned to one of ten benthic categories: live (scleractinian) corals, octocorals, dead corals, coralline algae, macroalgae, turf algae, cyanophyes, zoanthids, other sessile macro-invertebrates, and sand. Benthic organisms were identified to the lowest taxonomic level possible (corals, macroalgae, and zoanthids to genus or species). Turf algae included pavement, rock, rubble, and turf algae observations.", + "id": "gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR19_L_1", + "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 satellite produced by NEODAAS (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-09-07", + "end_date": "", + "bbox": "-60, -24, 60, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641821-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641821-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR19_L_1", + "description": "A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched on 6 Feb 2009). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0169338_Not Applicable", - "title": "Assessing cryptic reef diversity of colonizing marine invertebrates using autonomous reef monitoring structures (ARMS) deployed at coral reef sites in Timor-Leste from 2012-10-15 to 2014-10-09 (NCEI Accession 0169338)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-10-15", - "end_date": "2014-10-09", - "bbox": "125.49912, -8.85321, 125.01319, -8.22438", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379299-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379299-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0169338_Not%20Applicable", - "description": "The data described here, including photographs, genetic sequences, and specimen information, were collected by the NOAA Coral Reef Ecosystem Program (CREP) from Autonomous Reef Monitoring Structures, or ARMS, moored for two years at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in Timor-Leste. Climate sites were established in Timor-Leste in October 2012 to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. Three ARMS units were typically deployed by SCUBA divers at each survey site. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms, scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 \u00c2\u00b5m, and 100 \u00c2\u00b5m. The 500 \u00c2\u00b5m and 100 \u00c2\u00b5m fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies, photographed, and identified to the lowest taxonomic identification possible. The plate photographs, sequences generated from the DNA metabarcoding of the scrapings and the 500- and 100-\u00c2\u00b5m fractions, specimen photographs, and specimen identifications are included in the ARMS dataset. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. ARMS are used by CREP to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time.", + "id": "gov.noaa.nodc:GHRSST-OISST_HR_NRT-GOS-L4-BLK_2.0", + "title": "Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2012-02-01", + "end_date": "", + "bbox": "26.375, 38.75, 42.375, 48.812", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642354-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642354-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OISST_HR_NRT-GOS-L4-BLK_2.0", + "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0169370_Not Applicable", - "title": "Baited remote underwater video station (BRUVS) surveys of fish in the Hawaiian Archipelago from 2012-09-01 to 2014-09-27 (NCEI Accession 0169370)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-09-01", - "end_date": "2014-09-27", - "bbox": "-177.479, 20.5736, -156.056, 28.2661", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379327-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379327-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0169370_Not%20Applicable", - "description": "Supported by the NOAA Coral Reef Ecosystem Program (CREP), the data provided in this data set\u00e2\u0080\u0094including fish species, lengths, counts, and benthic cover\u00e2\u0080\u0094were generated from the analysis of video footage from baited underwater video station (BRUVS) surveys conducted during NOAA Pacific Islands Fisheries Science Center (PIFSC) missions in the Main Hawaiian Islands in September 2012 and November 2013, and the Northwestern Hawaiian Islands in May and September 2014. Each BRUVS uses high-definition video cameras mounted 0.7 m apart on a base bar that is inwardly converged at 8\u00c2\u00b0, set up as a stereo-video system. The video images from the cameras are subsequently analyzed to identify fish species and length. The use of bait attracts a wide diversity of fish species into the field of view of the cameras, but CREP is also experimenting with unbaited deployments.", + "id": "gov.noaa.nodc:GHRSST-OISST_HR_NRT-GOS-L4-MED_2.0", + "title": "Mediterranean Sea High Resolution SST L4 Analysis 1/16deg Resolution (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2012-01-31", + "end_date": "", + "bbox": "-18.125, 30.25, 36.25, 46", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641823-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641823-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-OISST_HR_NRT-GOS-L4-MED_2.0", + "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625deg. x 0.0625deg. horizontal resolution over the Mediterranean Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Mediterranean sea.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0169725_Not Applicable", - "title": "Benthic cover derived from photo transects in Faga'alu, American Samoa from 2015-10-29 to 2015-11-11 (NCEI Accession 0169725)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-29", - "end_date": "2015-11-11", - "bbox": "-170.681, -14.2948, -170.674, -14.287", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379628-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379628-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0169725_Not%20Applicable", - "description": "The benthic cover data described herein were generated by the NOAA Coral Reef Ecosystem Program (CREP) from the quantitative analysis of photoquadrat benthic images using image analysis software, whereby random points are projected on each image and the benthic elements falling directly underneath each point are identified. The images were collected at sites in Faga'alu Bay in 2015 during belt transect surveys of coral demography. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The benthic images and coral demography data are described and archived separately.", + "id": "gov.noaa.nodc:GHRSST-OISST_UHR_NRT-GOS-L4-BLK_2.0", + "title": "Black Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2012-01-31", + "end_date": "", + "bbox": "26.375, 38.75, 42.375, 48.812", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642712-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642712-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OISST_UHR_NRT-GOS-L4-BLK_2.0", + "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0169726_Not Applicable", - "title": "Benthic cover derived from photo transects in Vatia, American Samoa from 2015-11-02 to 2015-11-12 (NCEI Accession 0169726)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-11-02", - "end_date": "2015-11-12", - "bbox": "-170.674, -14.2501, -170.667, -14.2432", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379733-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379733-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0169726_Not%20Applicable", - "description": "The benthic cover data described here were generated from the quantitative analysis of photoquadrat benthic images using image analysis software, whereby random points are projected on each image and the benthic elements falling directly underneath each point are identified. The images were collected at 18 stratified randomly selected sites in Vatia Bay in 2015 during belt transect surveys of coral demography by the NOAA Coral Reef Ecosystem Program (CREP). The benthic cover data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The benthic images and coral demography data are described and archived separately.", + "id": "gov.noaa.nodc:GHRSST-OISST_UHR_NRT-GOS-L4-MED_2.0", + "title": "Mediterranean Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2012-01-31", + "end_date": "", + "bbox": "-18.125, 30.25, 36.25, 46", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644630-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644630-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-OISST_UHR_NRT-GOS-L4-MED_2.0", + "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01deg. horizontal resolution over the Mediterranean Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Mediterranean sea.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0169728_Not Applicable", - "title": "Benthic cover derived from line-point intercept (LPI) surveys in Faga'alu, American Samoa from 2012-08-14 to 2012-08-16 (NCEI Accession 0169728)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-08-14", - "end_date": "2012-08-16", - "bbox": "-170.681, -14.2933, -170.679, -14.2889", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379935-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379935-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0169728_Not%20Applicable", - "description": "The data described here were collected in Faga'alu, American Samoa in August 2012 via line-point intercept (LPI) surveys by the NOAA Coral Reef Ecosystem Program (CREP). At each survey site, a SCUBA diver quantitatively documented the benthic composition at 20-cm intervals along two 25-m transects for a total of 125 data points per transect. All living benthic elements (e.g., coral, algae, and other sessile invertebrates) were identified to the lowest taxonomic level possible. Raw survey data consist of counts of benthic elements, including but not limited to coral, carbonate pavement, sand, rubble, macroalgae, crustose coralline algae, turf algae, as well as other sessile invertebrates along the two transects. The data allows for the assessment and monitoring of community structure and composition, and provide the basis for computing quantitative estimates of benthic cover (%) at higher taxonomic levels like functional group (coral, macroalgae, turf algae) or on a finer taxonomic resolution such as genus level. These data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Additionally, coral demographic surveys were conducted in 2013 and 2015 and coral surveys in 2012, photoquadrat benthic images were collected in 2012 and 2015, and the 2015 images were analyzed for benthic cover composition (all documented and archived separately).", + "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-GOES11_4.0", + "title": "GHRSST Level 2P Eastern Pacific Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-11 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-12-22", + "end_date": "2011-07-10", + "bbox": "-180, -45, -110, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642008-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642008-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-GOES11_4.0", + "description": "The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-11 launched 3 May 2000. The radiometer aboard the satellite, The GOES I-M Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-11 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5. The full disk image is subsetted into granules representing distinct northern and southern regions.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0170031_Not Applicable", - "title": "Calcification rates of crustose coralline algae (CCA) derived from calcification accretion units (CAUs) deployed at coral reef sites in Timor-Leste from 2012-10-15 to 2014-10-09 (NCEI Accession 0170031)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-10-15", - "end_date": "2014-10-09", - "bbox": "125.013, -8.85329, 127.312, -8.22441", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380114-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380114-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0170031_Not%20Applicable", - "description": "The calcification rate data described here were collected by the NOAA Coral Reef Ecosystem Program (CREP) from calcification accretion units, or CAUs, moored for two years at fixed climate survey sites and located on hard bottom shallow water (< 15 m) habitats in Timor-Leste, in accordance with protocols developed by Price et al. (2012). Five CAUs were deployed at each survey site. Climate sites were established in Timore-Leste by CREP in October 2012 to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. CAUs, constructed in-house by CREP, are composed of two 10 x 10 cm flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos by SCUBA divers using stainless steel threaded rods. Deployed on the seafloor for a period of time, calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over time. By measuring the change in weight of the CAUs, the reef carbonate accretion rate can be calculated for that time period, measured in grams per centimeter per year. Laboratory experiments reveal calcification rates of crustose coralline algae (CCA) are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. CAUs are used by CREP to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. These calcification rate data for Timor-Leste, along with other data collected at the climate survey sites (water temperature and chemistry, invertebrate biodiversity, and benthic cover, all archived separately), serve as a baseline for detecting changes associated with changing seawater chemistry and can be used to help scientists assess and understand how Timor-Leste's coral reefs are responding to ocean acidification.", + "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-GOES12_4.0", + "title": "GHRSST Level 2P West Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-12 satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-12-22", + "end_date": "2010-06-17", + "bbox": "-135, -50, -30, 65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642363-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642363-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIG5vcnRoIGF0bGFudGljIHJlZ2lvbmFsIGJ1bGsgc2VhIHN1cmZhY2UgdGVtcGVyYXR1cmUgZnJvbSB0aGUgYWR2YW5jZWQgdmVyeSBoaWdoIHJlc29sdXRpb24gcmFkaW9tZXRlciAoYXZocnIpIG9uIHRoZSBub2FhLTE4IHNhdGVsbGl0ZSBwcm9kdWNlZCBieSBuZW9kYWFzIChnZHMgdmVyc2lvbiAxKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtTkVPREFBUy1MMlAtQVZIUlIxOF9MXCIsXCIxXCIsMjIxMzY0MTM4MSwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBub3J0aCBhdGxhbnRpYyByZWdpb25hbCBidWxrIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGFkdmFuY2VkIHZlcnkgaGlnaCByZXNvbHV0aW9uIHJhZGlvbWV0ZXIgKGF2aHJyKSBvbiB0aGUgbm9hYS0xOCBzYXRlbGxpdGUgcHJvZHVjZWQgYnkgbmVvZGFhcyAoZ2RzIHZlcnNpb24gMSlcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU5FT0RBQVMtTDJQLUFWSFJSMThfTFwiLFwiMVwiLDIyMTM2NDEzODEsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-GOES12_4.0", + "description": "The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-12 launched 23 July 2001. The radiometer aboard the satellite, The GOES I-M Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-12 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5. The full disk image is subsetted into granules representing distinct northern and southern regions.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0170454_Not Applicable", - "title": "Bottom water temperature from temperature sensors taken from the fishing vessel Hera in the Georges Bank from 2016-06-01 to 2016-06-15 (NCEI Accession 0170454)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2016-06-01", - "end_date": "2016-06-15", - "bbox": "-67.4916, 41.5133, -67.3353, 42.0898", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380382-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380382-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0170454_Not%20Applicable", - "description": "Mean bottom temperature taken off a commercial fishing vessel used during a scientific trip. Data was collected using a Tidbit v2 Temperature Data Logger from Onset Computers. The sensor was placed on the trawl doors of a demersal bottom trawl. Bottom temperature was recorded once per minute throughout the fishing tow. Tows averaged 75 minutes. Bottom temperature was then aggregated by collected the mean temperature per tow. The provided data file includes the tow number, end of tow time, location (lat and long), depth (fathoms) and average bottom temperature (C). Data are in csv format.", + "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-MSG02_4", + "title": "GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-2) satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-11-22", + "end_date": "", + "bbox": "-81, -73, 81, 73", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642675-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642675-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-MSG02_4", + "description": "The Meteosat Second Generation (MSG) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) is derived from the SEVIRI instrument on the second MSG satellite (also known as Meteosat-9) that was launched on 22 December 2005. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution every 15 minutes. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171311_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian Island by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2016-04-05 to 2017-03-01 (NCEI Accession 0171311)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2016-04-05", - "end_date": "2017-03-01", - "bbox": "-124.15754, 40.81503, -124.15754, 40.81503", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377245-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377245-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171311_Not%20Applicable", - "description": "NCEI Accession 0171311 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Indian Island in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-MTSAT1R_4", + "title": "GHRSST Level 2P Western Pacific Regional Skin Sea Surface Temperature from the Multifunctional Transport Satellite 1R (MTSAT-1R) (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2009-11-22", + "end_date": "2012-12-26", + "bbox": "60, -73, -143, 73", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642344-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642344-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-MTSAT1R_4", + "description": "Multi-functional Transport Satellites (MTSAT) are a series of geostationary weather satellites operated by the Japan Meteorological Agency (JMA). MTSAT carries an aeronautical mission to assist air navigation, plus a meteorological mission to provide imagery over the Asia-Pacific region for the hemisphere centered on 140 East. The meteorological mission includes an imager giving nominal hourly full Earth disk images in five spectral bands (one visible, four infrared). MTSAT are spin stabilised satellites. With this system images are built up by scanning with a mirror that is tilted in small successive steps from the north pole to south pole at a rate such that on each rotation of the satellite an adjacent strip of the Earth is scanned. It takes about 25 minutes to scan the full Earth's disk. This builds a picture 10,000 pixels for the visible images (1.25 km resolution) and 2,500 pixels (4 km resolution) for the infrared images. The MTSAT-1R (also known as Himawari 6) and its radiometer (MTSAT-1R Imager) was successfully launched on 26 February 2005. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the IR channels of the MTSAT-1R Imager full resolution data in satellite projection on a hourly basis. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171312_Not Applicable", - "title": "Biological, chemical and other data collected from station Monterey Bay Commercial Wharf by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2015-05-05 to 2018-01-27 (NCEI Accession 0171312)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-05-05", - "end_date": "2018-01-27", - "bbox": "-121.88935, 36.60513, -121.88935, 36.60513", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377254-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377254-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171312_Not%20Applicable", - "description": "NCEI Accession 0171312 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named Monterey Bay Commercial Wharf in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-OSTIA-UKMO-L4-GLOB_2.0", + "title": "GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2006-04-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644500-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644500-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-OSTIA-UKMO-L4-GLOB_2.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.054 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Geostationary Operational Environmental Satellite (GOES) imager, the Infrared Atmospheric Sounding Interferometer (IASI), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171313_Not Applicable", - "title": "Biological, chemical and other data collected from station Romberg Tiburon Center Pier by Romberg Tiburon Center SFSU/CeNCOOS and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2002-10-14 to 2019-12-12 (NCEI Accession 0171313)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2002-10-14", - "end_date": "2019-12-12", - "bbox": "-122.4467, 37.8915, -122.4467, 37.8915", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377270-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377270-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171313_Not%20Applicable", - "description": "NCEI Accession 0171313 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Romberg Tiburon Center SFSU/CeNCOOS collected the data from their in-situ moored station named Romberg Tiburon Center Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Romberg Tiburon Center SFSU/CeNCOOS and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-RAMSSA_09km-ABOM-L4-AUS_1.0", + "title": "GHRSST Level 4 RAMSSA_9km Australian Regional Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-04-01", + "end_date": "", + "bbox": "60, -70, -170, 20", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645869-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645869-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-RAMSSA_09km-ABOM-L4-AUS_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a regional 1/12 degree grid over the Australian region (20N - 70S, 60E - 170W). This Regional Australian Multi-Sensor SST Analysis (RAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers, with in situ data from ships, Argo floats, XBTs, CTDs, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the BoM Global Weekly 1 degree OI SST analysis, which relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171314_Not Applicable", - "title": "Biological, chemical, and other data collected from station Morro Bay by California Polytechnic State Univeristy, San Luis Obispo, and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2009-06-02 to 2021-06-14 (NCEI Accession 0171314)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-06-02", - "end_date": "2021-06-14", - "bbox": "-120.8589, 35.37085, -120.8589, 35.37085", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377284-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377284-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwgYW5kIG90aGVyIGRhdGEgY29sbGVjdGVkIGZyb20gc3RhdGlvbiBodW1ib2xkdCBiYXkgcGllciBieSBodW1ib2xkdCBzdGF0ZSB1bml2ZXJzaXR5IGFuZCBhc3NlbWJsZWQgYnkgY2VudHJhbCBhbmQgbm9ydGhlcm4gY2FsaWZvcm5pYSBjb2FzdGFsIG9jZWFuIG9ic2VydmluZyBzeXN0ZW0gKGNlbmNvb3MpIGluIHRoZSBub3J0aGVhc3QgcGFjaWZpYyBvY2VhbiBmcm9tIDIwMTItMTItMTMgdG8gMjAxOC0wMy0wNyAobmNlaSBhY2Nlc3Npb24gMDE2Mzc1MClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMTYzNzUwXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzY1NDUsMV0iLCJ1bW0iOiJbXCJiaW9sb2dpY2FsLCBjaGVtaWNhbCBhbmQgb3RoZXIgZGF0YSBjb2xsZWN0ZWQgZnJvbSBzdGF0aW9uIGh1bWJvbGR0IGJheSBwaWVyIGJ5IGh1bWJvbGR0IHN0YXRlIHVuaXZlcnNpdHkgYW5kIGFzc2VtYmxlZCBieSBjZW50cmFsIGFuZCBub3J0aGVybiBjYWxpZm9ybmlhIGNvYXN0YWwgb2NlYW4gb2JzZXJ2aW5nIHN5c3RlbSAoY2VuY29vcykgaW4gdGhlIG5vcnRoZWFzdCBwYWNpZmljIG9jZWFuIGZyb20gMjAxMi0xMi0xMyB0byAyMDE4LTAzLTA3IChuY2VpIGFjY2Vzc2lvbiAwMTYzNzUwKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAxNjM3NTBcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3NjU0NSwxXSJ9/gov.noaa.nodc%3A0171314_Not%20Applicable", - "description": "NCEI Accession 0171314 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). California Polytechnic State Univeristy, San Luis Obispo, collected the data from their in-situ moored station named Morro Bay in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from California Polytechnic State Univeristy, San Luis Obispo, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-REMO_OI_SST_5km-UFRJ-L4-SAMERICA_1.0", + "title": "GHRSST Level 4 REMO_OI_SST_5km Regional Foundation Sea Surface Temperature Analysis (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-02-21", + "end_date": "2016-10-12", + "bbox": "-70, -45, -15, 15", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642410-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642410-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-REMO_OI_SST_5km-UFRJ-L4-SAMERICA_1.0", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis by the Oceanographic Modeling and Observation Network (REMO) at Applied Meteorology Laboratory/Federal University of Rio de Janeiro (LMA/UFRJ) using the Barnes sub optimal interpolation (OI) technique on a regional 0.05 degree grid. REMO uses Advanced Very High Resolution Radiometer (AVHRR) data from National Oceanic and Atmospheric Administration (NOAA) satellites series (NOAA 15, NOAA 16, NOAA 17, NOAA 18 and NOAA 19) and Microwave Imager (TMI) data from Tropical Rainfall Measuring Mission (TRMM) which is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) to generate 0.05 degree daily cloud free blended (infrared and microwave) SST products (approximately 5.5 km). The data lies between latitudes 45 S and 15 N and longitudes 70 W and 15 W region and are fully validated by in situ measurements from eleven buoys of Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). AVHRR is a scanning radiometer capable of detecting energy from land, ocean and atmosphere. It operates with six spectral bands arranged in the regions of visible and infrared region. TRMM was launched in December, 1997, having an orbital inclination of 53 degree and altitude 350 km, an equatorial orbit that ranges from 40 N to 40 S and a spatial resolution of 0.25 degree (~27.75 km). Although infrared AVHRR SST data have high spatial resolution, they are contaminated by cloud cover and aerosols, while lower resolution microwave TMI data are barely influenced by these.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171316_Not Applicable", - "title": "Biological, physical, and time series data collected from station Cal Poly Pier San Luis Obispo by California Polytechnic State Univeristy, San Luis Obispo, and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the North Pacific Ocean and Northeast Pacific Ocean from 2015-06-02 to 2021-06-09 (NCEI Accession 0171316)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-06-02", - "end_date": "2021-06-09", - "bbox": "-120.74062, 35.17013, -120.74062, 35.17013", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377313-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377313-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0171316_Not%20Applicable", - "description": "NCEI Accession 0171316 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). California Polytechnic State Univeristy, San Luis Obispo, collected the data from their in-situ moored station named Cal Poly Pier San Luis Obispo in the North Pacific Ocean and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from California Polytechnic State Univeristy, San Luis Obispo, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-AMSRE_4.0", + "title": "GHRSST Level 2P Gridded Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2002-06-01", + "end_date": "2011-10-04", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643927-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643927-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-REMSS-L2P_GRIDDED_25-AMSRE_4.0", + "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea-surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. Although the product designation is \"L2P_GRIDDED\" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its \"L2P_GRIDDED\" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity. In this dataset, both ascending (daytime) and descending (daytime) gridded orbital passes on packaged into the same daily file.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171318_Not Applicable", - "title": "Biological, chemical, and other data collected from station Trinidad Head, California, by Humboldt State University/CeNCOOS and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the North Pacific Ocean and Northeast Pacific Ocean from 2009-01-01 to 2021-06-13 (NCEI Accession 0171318)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-01-01", - "end_date": "2021-06-13", - "bbox": "-124.14703, 41.055, -124.14703, 41.055", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377331-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377331-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171318_Not%20Applicable", - "description": "NCEI Accession 0171318 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University/CeNCOOS collected the data from their in-situ moored station named Trinidad Head, California, in the North Pacific Ocean and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University/CeNCOOS and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-TMI_4.0", + "title": "GHRSST L2P Gridded Global Subskin Sea Surface Temperature from the Tropical Rainfall Mapping Mission (TRMM) Microwave Imager (TMI) (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2015-04-06", + "bbox": "-180, -40, 180, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645156-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645156-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-REMSS-L2P_GRIDDED_25-TMI_4.0", + "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to SSM/I, that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in November 1997. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. In contrast to infrared SST observations, microwave retrievals can be measured through most clouds, and are also insensitive to water vapor and aerosols. Remote Sensing Systems is the producer of these gridded TMI SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. Although the product designation is \"L2P_GRIDDED\" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its \"L2P_GRIDDED\" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity. In this dataset, both ascending (daytime) and descending (daytime) gridded orbital passes on packaged into the same daily file.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171319_Not Applicable", - "title": "Biological, chemical and other data collected from station Carquinez at the California Maritime campus by San Francisco State University and The California Maritime Academy and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2008-02-21 to 2019-12-14 (NCEI Accession 0171319)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2008-02-21", - "end_date": "2019-12-14", - "bbox": "-122.2302, 38.0657, -122.2302, 38.0657", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377341-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377341-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0171319_Not%20Applicable", - "description": "NCEI Accession 0171319 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). San Francisco State University and The California Maritime Academy collected the data from their in-situ moored station named Carquinez at the California Maritime campus in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from San Francisco State University and The California Maritime Academy and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-WSAT_7.0", + "title": "GHRSST Level 2P Gridded Global Subskin Sea Surface Temperature from WindSat polarimetric radiometer on the Coriolis satellite (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2003-02-09", + "end_date": "2015-12-28", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644014-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644014-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-REMSS-L2P_GRIDDED_25-WSAT_7.0", + "description": "This dataset contains sea surface temperature derived from observations made by the WindSat Polarimetric Radiometer developed by the Naval Research Laboratory (NRL) and launched on 6 January 2003 aboard the Department of Defense Coriolis satellite. This radiometer is well-calibrated and contains the lower frequency channels required for SST retrievals. The radiometer operates in 5 discrete bands: 6.8, 10.7, 18.7, 23.8 and 37.0 GHz. The 10.7, 18.7 and 37.0 GHz bands are fully polarimetric whereas the 6.8 and 23.8 GHz bands have only dual polarization. The feedhorns of each frequency band trace out different arcs along the bench, therefore the Earth Incidence Angles (EIA) are different for each frequency band. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat dataset is the only one available that uses both the fore and aft look directions which results in a wider swath and more complicated swath geometry visible in the provided maps. RSS produces these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. In the data processing chain, a first stage produces a near-real-time (NRT) dataset (identified with a \"rt\" within the file name) which is made as available as soon as possible. A later second stage produces a final dataset (identified by \"v7\" within the file name) that contains more data than the NRT version. In this dataset, both ascending (evening time) and descending (morning time) gridded orbital passes are packaged into the same daily file.Although the product designation is \"L2P_GRIDDED\" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its \"L2P_GRIDDED\" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171320_Not Applicable", - "title": "Biological, physical, and time series data collected from station Bodega Marine Laboratory seawater intake by Bodega Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean from 2009-02-22 to 2021-06-13 (NCEI Accession 0171320)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-02-22", - "end_date": "2021-06-13", - "bbox": "-123.0709, 38.31652, -123.0709, 38.31652", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377351-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377351-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0171320_Not%20Applicable", - "description": "NCEI Accession 0171320 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bodega Marine Laboratory collected the data from their in-situ moored station named Bodega Marine Laboratory seawater intake in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Bodega Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-SEVIRI_IO_SST-OSISAF-L3C_1.0", + "title": "GHRSST Level 3C Indian-Ocean (IO) sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG1 produced by OSISAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2018-10-02", + "end_date": "", + "bbox": "-15, -60, -135, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644792-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644792-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-SEVIRI_IO_SST-OSISAF-L3C_1.0", + "description": "This dataset is produced by the Ocean and Sea Ice Satellite Application Facility (OSI SAF) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) instrument onboard the Meteosat Second Generation (MSG-1), Meteosat-8 satellite (launched on 28 August 2002). The dataset covers the Indian Ocean region with latitude of 60S-60N and longitude of 135W-15W. Level-3C SST, in the NetCDF format recommended by Group for High Resolution Sea Surface Temperature (GHRSST), is identical to Level-2P GHRSST products, 3 refers to gridded products and C to the fact that hourly products result from compositing 15 minutes (MSG) or 30 minutes (GOES-E) data. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), OSI SAF is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating all 15-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171321_Not Applicable", - "title": "Biological, physical, and time series data collected from station Fort Point Pier by Bodega Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2009-03-01 to 2021-06-13 (NCEI Accession 0171321)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-03-01", - "end_date": "2021-06-13", - "bbox": "-122.4662, 37.80663, -122.4662, 37.80663", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377363-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377363-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0171321_Not%20Applicable", - "description": "NCEI Accession 0171321 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bodega Marine Laboratory collected the data from their in-situ moored station named Fort Point Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Bodega Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-SEVIRI_SST-OSISAF-L3C_1", + "title": "GHRSST Level 3C Atlantic sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG at 0 degree longitude produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2015-06-29", + "end_date": "", + "bbox": "-60, -60, 60, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645162-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645162-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-SEVIRI_SST-OSISAF-L3C_1", + "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Eastern Atlantic Region from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-3) satellites (launched 5 July 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 60W-60E) SST fields obtained by aggregating all 15 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171322_Not Applicable", - "title": "Chemical, physical and time series data collected from station burkolator at Hog Island Oyster Company in Tomales Bay by Bodega Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean from 2014-05-31 to 2019-04-12 (NCEI Accession 0171322)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-05-31", - "end_date": "2019-04-12", - "bbox": "-122.8939, 38.162, -122.8939, 38.162", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377372-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377372-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0171322_Not%20Applicable", - "description": "NCEI Accession 0171322 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bodega Marine Laboratory collected the data from their in-situ moored station named burkolator at Hog Island Oyster Company in Tomales Bay in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Bodega Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-TMI-REMSS-L2P_4.0", + "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature from TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measurement Mission (TRMM) satellite (GDS versions 1 and 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2015-01-11", + "bbox": "-179.99, -39.06, 180, 39.01", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644635-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644635-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-TMI-REMSS-L2P_4.0", + "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems has produced a Version-4 TMI ocean SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in \"AMSR Ocean Algorithm.\"", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171323_Not Applicable", - "title": "Biological, chemical and other data collected from station Santa Cruz municiple wharf by University of California, Santa Cruz, and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Monterey Bay National Marine Sanctuary and Northeast Pacific Ocean from 2011-11-01 to 2019-12-07 (NCEI Accession 0171323)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2011-11-01", - "end_date": "2019-12-07", - "bbox": "-122.0203, 36.9603, -122.0203, 36.9603", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377382-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377382-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171323_Not%20Applicable", - "description": "NCEI Accession 0171323 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of California, Santa Cruz, collected the data from their in-situ moored station named Santa Cruz municiple wharf in the Monterey Bay National Marine Sanctuary and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from University of California, Santa Cruz, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-TMI-REMSS-L3U_7.1a", + "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from TMI onboard TRMM satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2014-05-13", + "end_date": "2015-01-01", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645270-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645270-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-TMI-REMSS-L3U_7.1a", + "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, sea surface temperature (SST) and surface wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial processing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems (REMSS) has produced a Version-7.1a TMI SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in \"AMSR Ocean Algorithm.\"", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171324_Not Applicable", - "title": "Chemical, physical, and time series data collected from station seawater input for Moss Landing Marine Laboratory by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Monterey Bay National Marine Sanctuary, North Pacific Ocean, and Northeast Pacific Ocean from 2010-09-03 to 2021-06-14 (NCEI Accession 0171324)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-09-03", - "end_date": "2021-06-14", - "bbox": "-121.7915, 36.8025, -121.7915, 36.8025", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377397-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377397-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0171324_Not%20Applicable", - "description": "NCEI Accession 0171324 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named seawater input for Moss Landing Marine Laboratory in the Monterey Bay National Marine Sanctuary, North Pacific Ocean, and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-UPA-L2P-ATS_NR_2P_1.5", + "title": "GHRSST Level 2P Global Skin Sea Surface Temperature from the Advanced Along Track Scanning Radiometer (AATSR) on the ESA Envisat satellite produced by UPA (GDS version 1)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2008-05-27", + "end_date": "2012-04-08", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645469-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645469-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-UPA-L2P-ATS_NR_2P_1.5", + "description": "Launched in March 2002 by the European Space Agency (ESA), Envisat is the largest Earth Observation spacecraft ever built. It carries ten sophisticated optical and radar instruments to provide continuous observation and monitoring of the Earth's land, atmosphere, oceans and ice caps. The Advanced Along-Track Scanning Radiometer (AATSR) onboard the Envisat spacecraft is designed to meet the challenging task of monitoring and detecting the climate change signal of sea surface temperature (SST). It builds on the success of its predecessor instruments on the European Remote-Sensing Satellite (ERS)-1, and ERS-2 satellites, and will lead to a multi-decade record of precise and accurate global SST measurements, thereby making a valuable contribution to the long-term climate record. The exceptionally high radiometric accuracy and stability of AATSR data are achieved through a number of unique features. A comprehensive pre-launch calibration programme, combined with continuous in-flight calibration, ensures that the data are continually corrected for sensor drift and degradation. A \"dual-view\" algorithm offering improved atmospheric correction by applying two different atmospheric path lengths is used to derive the SSTskin observations. The accuracies achieved with this configuration are further enhanced by using low-noise infrared detectors, cooled to their optimum operating temperature by a pair of Stirling-cycle coolers. With its high-accuracy, high-quality imagery and channels in the visible, near-infrared and thermal wavelengths, AATSR data will support many applications in addition to oceanographic and climate research, including a wide range of land-surface, cryosphere and atmospheric studies. See Llewellyn-Jones et al (2001) ESA bulletin 105, Feb 2001 for a full description. These AATSR L2P SST data are produced as part of the Group for High Resolution Sea Surface Temperature (GHRSST) Project according to the GHRSST-PP Data Processing Specification (GDS) version 1.5. This particular GHRSST AATSR dataset is produced by the UK Processing and Archiving (UPA) Centre Regional Data Assembly Facility (RDAC) for ESA since mid-2008. From the perspective of data format and quality it is identical to the L2P AATSR Medspiration (EUR) RDAC dataset produced earlier in the GHRSST Project.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171325_Not Applicable", - "title": "Biological, chemical and other data collected from station 2nd Avenue Pier by Long Bay Observation System and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2016-02-19 to 2020-01-06 (NCEI Accession 0171325)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2016-02-19", - "end_date": "2020-01-06", - "bbox": "-78.88415, 33.68279, -78.88415, 33.68279", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377410-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377410-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVyaW5nIHNlYSBpbm5lciBmcm9udCB6b29wbGFua3RvbiBkYXRhIHNldHMgY29sbGVjdGVkIHdpdGggY2FsdmV0IG5ldCBvbiBmb3VyIGNydWlzZXMgZnJvbSA2LzMvMTk5NyAtIDkvMS8xOTk4IChuY2VpIGFjY2Vzc2lvbiAwMDAwMTAzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDAxMDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3Mjc0MCwxXSIsInVtbSI6IltcImJlcmluZyBzZWEgaW5uZXIgZnJvbnQgem9vcGxhbmt0b24gZGF0YSBzZXRzIGNvbGxlY3RlZCB3aXRoIGNhbHZldCBuZXQgb24gZm91ciBjcnVpc2VzIGZyb20gNi8zLzE5OTcgLSA5LzEvMTk5OCAobmNlaSBhY2Nlc3Npb24gMDAwMDEwMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwMTAzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI3NDAsMV0ifQ%3D%3D/gov.noaa.nodc%3A0171325_Not%20Applicable", - "description": "NCEI Accession 0171325 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Long Bay Observation System collected the data from their in-situ moored station named 2nd Avenue Pier in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Long Bay Observation System and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-VIIRS_NPP-JPL-L2P_2016.2", + "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Visible and Infrared Imager/Radiometer Suite (VIIRS) on the Suomi-NPP satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2017-07-19", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644846-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644846-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-VIIRS_NPP-JPL-L2P_2016.2", + "description": "These files contain NASA produced skin sea surface temperature (SST) products from the Infrared (IR) channels of the Visible and Infrared Imager/Radiometer Suite (VIIRS) onboard the Suomi-NPP satellite. VIIRS is a multi-disciplinary instrument that is also being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, of which NOAA-20 is the first. JPSS is a multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). Suomi-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data. VIIRS has 22 spectral bands ranging from 412 nm to 12 micron. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375 m), and one day-night band (DNB). VIIRS uses on-board pixel aggregation to reduce the growth in size of pixels away from nadir. Two SST products are contained in these files. The first is a skin SST produced separately for day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST products from heritage and current NASA sensors. At night, a second triple channel SST product is generated using the 3.7 , 11 and 12 micron IR channels, identified as SST_triple. Due to the sun glint in the 3.7 micron SST_triple can only be used at night. VIIRS L2P SST data have a 750 spatial resolution at nadir and are stored in ~288 five minute granules per day. Full global coverage is obtained each day. The production of VIIRS NASA L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS were responsible for sea surface temperature algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of VIIRS ocean products. JPL acquires VIIRS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. In mid-August, 2018, the RSMAS involvement in the VIIRS SST project ceased, and the subsequent fields are not maintained. The R2016.2 supersedes the previous v2016.0 datasets.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171326_Not Applicable", - "title": "Biological, chemical and other data collected from station Apache Pier by Long Bay Observation System and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2016-02-19 to 2020-01-07 (NCEI Accession 0171326)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2016-02-19", - "end_date": "2020-01-07", - "bbox": "-78.7798, 33.7615, -78.7798, 33.7615", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377421-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377421-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0171326_Not%20Applicable", - "description": "NCEI Accession 0171326 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Long Bay Observation System collected the data from their in-situ moored station named Apache Pier in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Long Bay Observation System and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-VIIRS_NPP-NAVO-L2P_3.0", + "title": "GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2013-06-28", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644303-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644303-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-VIIRS_NPP-NAVO-L2P_3.0", + "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth. The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS, AVHRR and SeaWiFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades. It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171327_Not Applicable", - "title": "Biological, chemical and other data collected from station Cherry Grove Pier by Long Bay Observation System and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2016-02-19 to 2019-12-30 (NCEI Accession 0171327)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2016-02-19", - "end_date": "2019-12-30", - "bbox": "-78.63202, 33.82768, -78.63202, 33.82768", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377432-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377432-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVyaW5nIHNlYSBpbm5lciBmcm9udCB6b29wbGFua3RvbiBkYXRhIHNldHMgY29sbGVjdGVkIHdpdGggY2FsdmV0IG5ldCBvbiBmb3VyIGNydWlzZXMgZnJvbSA2LzMvMTk5NyAtIDkvMS8xOTk4IChuY2VpIGFjY2Vzc2lvbiAwMDAwMTAzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDAxMDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3Mjc0MCwxXSIsInVtbSI6IltcImJlcmluZyBzZWEgaW5uZXIgZnJvbnQgem9vcGxhbmt0b24gZGF0YSBzZXRzIGNvbGxlY3RlZCB3aXRoIGNhbHZldCBuZXQgb24gZm91ciBjcnVpc2VzIGZyb20gNi8zLzE5OTcgLSA5LzEvMTk5OCAobmNlaSBhY2Nlc3Npb24gMDAwMDEwMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwMTAzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI3NDAsMV0ifQ%3D%3D/gov.noaa.nodc%3A0171327_Not%20Applicable", - "description": "NCEI Accession 0171327 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Long Bay Observation System collected the data from their in-situ moored station named Cherry Grove Pier in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Long Bay Observation System and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0171328_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian River Lagoon - Fort Pierce (IRL-FP) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-09 (NCEI Accession 0171328)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-07", - "end_date": "2020-06-09", - "bbox": "-80.32661, 27.47555, -80.32661, 27.47555", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377444-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377444-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171328_Not%20Applicable", - "description": "NCEI Accession 0171328 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Fort Pierce (IRL-FP) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0171329_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian River Lagoon - Vero Beach (IRL-VB) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-11 (NCEI Accession 0171329)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-07", - "end_date": "2020-06-11", - "bbox": "-80.35526, 27.59012, -80.35526, 27.59012", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377456-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377456-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171329_Not%20Applicable", - "description": "NCEI Accession 0171329 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Vero Beach (IRL-VB) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0171330_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian River Lagoon - Sebastian (IRL-SB) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-01 (NCEI Accession 0171330)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-07", - "end_date": "2020-06-01", - "bbox": "-80.47082, 27.83909, -80.47082, 27.83909", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377467-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377467-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwgYW5kIG90aGVyIGRhdGEgY29sbGVjdGVkIGZyb20gc3RhdGlvbiBodW1ib2xkdCBiYXkgcGllciBieSBodW1ib2xkdCBzdGF0ZSB1bml2ZXJzaXR5IGFuZCBhc3NlbWJsZWQgYnkgY2VudHJhbCBhbmQgbm9ydGhlcm4gY2FsaWZvcm5pYSBjb2FzdGFsIG9jZWFuIG9ic2VydmluZyBzeXN0ZW0gKGNlbmNvb3MpIGluIHRoZSBub3J0aGVhc3QgcGFjaWZpYyBvY2VhbiBmcm9tIDIwMTItMTItMTMgdG8gMjAxOC0wMy0wNyAobmNlaSBhY2Nlc3Npb24gMDE2Mzc1MClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMTYzNzUwXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzY1NDUsMV0iLCJ1bW0iOiJbXCJiaW9sb2dpY2FsLCBjaGVtaWNhbCBhbmQgb3RoZXIgZGF0YSBjb2xsZWN0ZWQgZnJvbSBzdGF0aW9uIGh1bWJvbGR0IGJheSBwaWVyIGJ5IGh1bWJvbGR0IHN0YXRlIHVuaXZlcnNpdHkgYW5kIGFzc2VtYmxlZCBieSBjZW50cmFsIGFuZCBub3J0aGVybiBjYWxpZm9ybmlhIGNvYXN0YWwgb2NlYW4gb2JzZXJ2aW5nIHN5c3RlbSAoY2VuY29vcykgaW4gdGhlIG5vcnRoZWFzdCBwYWNpZmljIG9jZWFuIGZyb20gMjAxMi0xMi0xMyB0byAyMDE4LTAzLTA3IChuY2VpIGFjY2Vzc2lvbiAwMTYzNzUwKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAxNjM3NTBcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3NjU0NSwxXSJ9/gov.noaa.nodc%3A0171330_Not%20Applicable", - "description": "NCEI Accession 0171330 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Sebastian (IRL-SB) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0171331_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian River Lagoon - St. Lucie Estuary (IRL-SLE) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-22 (NCEI Accession 0171331)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-07", - "end_date": "2020-06-22", - "bbox": "-80.17184, 27.16495, -80.17184, 27.16495", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377477-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377477-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171331_Not%20Applicable", - "description": "NCEI Accession 0171331 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - St. Lucie Estuary (IRL-SLE) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0171332_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian River Lagoon - Jensen Beach (IRL-JB) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-18 (NCEI Accession 0171332)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-07", - "end_date": "2020-06-18", - "bbox": "-80.20233, 27.22439, -80.20233, 27.22439", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377488-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377488-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0171332_Not%20Applicable", - "description": "NCEI Accession 0171332 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Jensen Beach (IRL-JB) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0171345_Not Applicable", - "title": "Chemical, meteorological and other data collected from station Pilot's Cove, Apalachicola Bay, by Florida Department of Environmental Protection and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and Gulf of Mexico from 2015-11-09 to 2020-03-09 (NCEI Accession 0171345)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-11-09", - "end_date": "2020-03-09", - "bbox": "-85.0277, 29.60139, -85.0277, 29.60139", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377631-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377631-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0171345_Not%20Applicable", - "description": "NCEI Accession 0171345 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Department of Environmental Protection collected the data from their in-situ moored station named Pilot's Cove, Apalachicola Bay, in the Coastal Waters of Florida and Gulf of Mexico. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Department of Environmental Protection and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-VIIRS_SST_NPP_NAR-OSISAF-L3C_1", + "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS produced by OSI SAF (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2014-11-04", + "end_date": "2020-11-19", + "bbox": "-76.02, 13.59, 72.97, 78.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644305-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644305-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-VIIRS_SST_NPP_NAR-OSISAF-L3C_1", + "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the North Atlantic Region (NAR) based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0171346_Not Applicable", - "title": "Chemical, meteorological and other data collected from station Dry Bar, Apalachicola Bay, by Florida Department of Environmental Protection and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and Gulf of Mexico from 2015-12-01 to 2018-10-10 (NCEI Accession 0171346)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-12-01", - "end_date": "2018-10-10", - "bbox": "-85.05807, 29.67431, -85.05807, 29.67431", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377641-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377641-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0171346_Not%20Applicable", - "description": "NCEI Accession 0171346 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Department of Environmental Protection collected the data from their in-situ moored station named Dry Bar, Apalachicola Bay, in the Coastal Waters of Florida and Gulf of Mexico. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Department of Environmental Protection and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gov.noaa.nodc:GHRSST-WindSat-REMSS-L3U_7.0.1a", + "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite (GDS version 2)", + "catalog": "GHRSSTCWIC STAC Catalog", + "state_date": "2017-07-30", + "end_date": "2020-10-19", + "bbox": "-179.99, -39.06, 180, 39.01", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644790-GHRSSTCWIC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644790-GHRSSTCWIC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-WindSat-REMSS-L3U_7.0.1a", + "description": "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"rt\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7.0.1a\" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final \"v7.0.1a\" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter \"a\" refers to the file in compliance with GHRSST format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0172043_Not Applicable", - "title": "ADCP, CTD, and continuous data from the Multiple Instrument Data Acquisition System (MIDAS) collected in the Southeast of the Mississippi River Delta aboard the R/V Pelican from 2012-11-28 to 2012-12-19 (NCEI Accession 0172043)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-11-28", - "end_date": "2012-12-19", - "bbox": "-94.0863, 25.7961, -87.2228, 28.9733", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377986-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377986-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0172043_Not%20Applicable", - "description": "This dataset contains shipboard Acoustic Doppler Current Profiles (ADCP) data from a 75khz profiler, vertical profiles of measurements made from a CTD/Rosette system and continuous data from the Multiple Instrument Data Acquisition System (MIDAS). These ancillary data gives additional information about the physical state of the ocean during the Gulf of Mexico Integrated Spill Response Consortium (GISR) G03 cruise aboard R/V Pelican held from November 28 to December 20, 2012.", + "id": "gpcc_precip_monthly_xdeg_995_1", + "title": "ISLSCP II Global Precipitation Climatology Centre (GPCC) Monthly Precipitation", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1986-01-01", + "end_date": "1995-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784898435-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784898435-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/gpcc_precip_monthly_xdeg_995_1", + "description": "The Global Precipitation Climatology Centre (GPCC), which is operated by the Deutscher Wetterdienst (National Meteorological Service of Germany), is a component of the Global Precipitation Climatology Project (GPCP) with the main emphasis on the treatment of the global in-situ observations. The GPCC simultaneously contributes to the Global Climate Observing System (GCOS) and other international research and climate monitoring projects. This rain gauge-only data set was acquired from GPCC and resampled to 0.5 degree grid boxes for use in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II. The GPCC collects precipitation data which are locally observed at rain gauge stations and distributed as CLIMAT and SYNOP reports via the Global Telecommunication System of the World Weather Watch (GTS) of the World Meteorological Organization (WMO). The Centre acquires additional monthly precipitation data from meteorological and hydrological networks which are operated by national services. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0172377_Not Applicable", - "title": "Abundance and biomass of parrotfishes (Labridae, Scarinae) in St.Croix, U.S. Virgin Islands 2015 to 2016 (NCEI Accession 0172377)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-07-21", - "end_date": "2016-08-05", - "bbox": "-64.9199, 17.63764, -64.47889, 17.82709", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378141-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378141-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0172377_Not%20Applicable", - "description": "We collected data on parrotfish abundance, biomass, size structure, and species composition at several sites on the N shore of St. Croix during July and August 2015 and 2016. Surveys were conducted using a method that allowed divers to rapidly survey large areas and quantify habitat assocations of different species. Researchers conducted 20-30 min timed swims towing a float with a GPS receiver, which allowed for the calculation of distance traveled during a swim and therefore the total area sampled. During the timed swim survey, the diver estimated and recorded the size to the nearest cm of all parrotfishes that were at least 10 cm in length that were encountered in a 5-m-wide swath. Because these swims often crossed multiple habitats, the diver recorded the habitat each minute. For each site, the total area of each habitat sampled was then calculated in order to determine habitat- and site-specific densities of each parrotfish species.", + "id": "gpcp_precip_monthly_xdeg_1003_1", + "title": "ISLSCP II Global Precipitation Climatology Project Version 2, Monthly Precipitation", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1986-01-01", + "end_date": "1995-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785267282-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785267282-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/gpcp_precip_monthly_xdeg_1003_1", + "description": "The Global Precipitation Climatology Project (GPCP) Version 2 data set includes global, monthly precipitation rates and associated random errors (RMSE), and a monthly precipitation climatology derived as an average from all GPCP data sets from January 1979 to December 1999. The data are derived from measured gauge data and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set: the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data sets and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set: the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0172588_Not Applicable", - "title": "Biological, chemical, and other data collected from station Humboldt Bay Pier by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2012-12-13 to 2021-06-09 (NCEI Accession 0172588)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-12-13", - "end_date": "2021-06-09", - "bbox": "-124.19652, 40.7775, -124.19652, 40.7775", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378189-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378189-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0172588_Not%20Applicable", - "description": "NCEI Accession 0172588 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Humboldt Bay Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gpcp_precip_pentad_xdeg_1002_1", + "title": "ISLSCP II Global Precipitation Climatology Project Version 1, Pentad Precipitation", + "catalog": "ORNL_CLOUD STAC Catalog", + "state_date": "1986-01-01", + "end_date": "1995-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784899581-ORNL_CLOUD.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784899581-ORNL_CLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/gpcp_precip_pentad_xdeg_1002_1", + "description": "The Global Precipitation Climatology Project (GPCP) pentad version 1 precipitation data set includes global precipitation rates for 5-day, or pentad, periods. The data sets are derived from measured rain gauge data and merged with satellite estimates of rainfall. This is a portion of the version 1 GPCP pentad data set and covers the ISLSCP II period from 1986 to 1995. The original precipitation rates at 2.5 degrees were re-gridded to a 1 degree spatial resolution by the ISLSCP II staff. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0172612_Not Applicable", - "title": "Biological, chemical and other data collected from station Monterey Bay Commercial Wharf by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2015-05-05 to 2020-01-03 (NCEI Accession 0172612)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-05-05", - "end_date": "2020-01-03", - "bbox": "-121.88935, 36.60513, -121.88935, 36.60513", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378278-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378278-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0172612_Not%20Applicable", - "description": "NCEI Accession 0172612 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named Monterey Bay Commercial Wharf in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gpm2dc3vp_1", + "title": "GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) C3VP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-12-02", + "end_date": "2007-04-09", + "bbox": "-79.7906, 44.2232, -79.7706, 44.2432", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569530-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569530-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dc3vp_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) C3VP dataset consists of snowfall data collected by the Two-Dimensional Video Disdrometer (2DVD) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The 2DVD measures precipitation characteristics such as size, shape, and velocity. During C3VP, there was one 2DVD instrument deployed at the Meteorological Service of Canada (MSC) operated Centre for Atmospheric Research Experiments (CARE) facility in Ontario, Canada. The data include diameter, volume, and fall speed information for individual snowflakes. The dataset files are available in ASCII text format from December 2, 2006 through April 9, 2007.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0172613_Not Applicable", - "title": "Biological, chemical and other data collected from station Indian Island by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2016-04-05 to 2019-10-28 (NCEI Accession 0172613)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2016-04-05", - "end_date": "2019-10-28", - "bbox": "-124.15754, 40.81503, -124.15754, 40.81503", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378289-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378289-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0172613_Not%20Applicable", - "description": "NCEI Accession 0172613 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Indian Island in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available.", + "id": "gpm2dgcpex_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-10-27", + "end_date": "2012-02-27", + "bbox": "-79.93, 44.1765, -79.64, 44.6862", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979122157-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979122157-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dgcpex_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) GCPEX dataset was collected by the Two-Dimensional Video Disdrometer (2DVD) data, which was collected during the GPM Cold-season Precipitation Experiment (GCPEx) held in Ontario, Canada. GCPeX occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow.Collected from six sites, the data contains daily ascii files with information on individual snowflakes and hydrometeors, and binary files preprocessed from raw camera data. Overall data dates range from 27 October 2011 through 27 February 2012 depending on the specific site.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0173246_Not Applicable", - "title": "Benthic Fauna and Hydrography at Four Sites in the Mobile-Tensaw River Delta, Alabama (1981-1982) (NCEI Accession 0173246)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-11-17", - "end_date": "1982-09-29", - "bbox": "-88.004, 30.411, -87.562, 31.055", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378543-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378543-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0173246_Not%20Applicable", - "description": "Bimonthly surveys of benthic fauna were conducted at four sites in the Mobile-Tensaw River Delta from November 1981 to September 1982. Two sites were at the upper reaches of the river delta, and two were at the mouth. Fauna were enumerated and identified to lowest taxon possible. Hydrographic data were also collected, including temperature, conductivity, and dissolved oxygen.", + "id": "gpm2dhymex_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) HYMEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-09-12", + "end_date": "2012-11-13", + "bbox": "4.0975, 41.8936, 12.4938, 44.1372", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979122485-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979122485-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dhymex_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) HyMeX data was collected during the HYdrological cycle in Mediterranean EXperiment (HyMeX), which provided data on raindrop size and precipitation drop size distribution. The 2DVD measured the size of raindrops and also recorded two side view optical images of each raindrop. Used for in situ measurements of precipitation drop size distribution, this instrument recorded orthogonal image projections of raindrops as they crossed its sensing area and provided velocity and shape of individual raindrops.The HyMeX 2DVD data were collected in France and Italy from September 12, 2012 to November 12, 2012. The data are in ASCII format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0173316_Not Applicable", - "title": "Carbon dioxide, hydrographic and chemical data collected from profile discrete samples during the R/V Nathaniel B. Palmer 2015 OOISO; NBP15_11, SOCCOM cruise (EXPOCODE 320620151206) in the South Pacific Ocean from 2015-12-06 to 2016-01-04 (NCEI Accession 0173316)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-12-06", - "end_date": "2016-01-04", - "bbox": "-89.72, -54.6, -80.11, -52.93", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378635-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378635-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0173316_Not%20Applicable", - "description": "This NCEI Accession includes profile discrete measurements of CTD temperature, CTD salinity, CTD oxygen, nutrients, total alkalinity and pH on Total scale obtained during the R/V Nathaniel B. Palmer 2015 OOISO; NBP15_11, SOCCOM cruise (EXPOCODE 320620151206) in the South Pacific Ocean from 2015-12-06 to 2016-01-02.", + "id": "gpm2difld_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) IFLOODS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-03", + "end_date": "2013-06-18", + "bbox": "-92.4636, 41.6407, -91.5417, 42.2388", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979122689-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979122689-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2difld_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) IFloodS dataset was collected during the GPM Ground Validation Iowa Flood Studies (IFLoodS) field campaign in central-northeastern Iowa in 2013. This campaign aimed to improve satellite precipitation measurements for flood prediction by using ground measurements to improve satellite retrieval algorithms. The Two-Dimensional Video Disdrometer (2DVD), developed by Joanneum Research (Graz, Austria), measures raindrop characteristics such as size distribution, shape, and velocity. The 2DVD IFloodS data was collected from 6 sites from April 3, 2013 to June 18, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the 2DVD instruments were installed and calibrated prior to the start, allowing for the wider period of record. The dataset contains daily ASCII files that include measurements for various precipitation parameters.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0175745_Not Applicable", - "title": "Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2011-07-07 to 2016-10-29 (NCEI Accession 0175745)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2011-07-07", - "end_date": "2016-10-29", - "bbox": "-51.5, -34.503, -44.5, -34.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380684-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380684-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0175745_Not%20Applicable", - "description": "This dataset contains round trip acoustic travel time and abmient bottom pressure from bottom-mounted instruments spaced zonally along 34.5S in the SW Atlantic east of Uruguay July 2011 to October 2016. The data were collected for the Southwest Atlantic meridional overturning circulation (\"SAM\") project by the NOAA-Atlantic Oceanographic and Meteorological Laboratory. Both the processed/quality-controlled and the raw data files are available. Format is text.", + "id": "gpm2diphx_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-23", + "end_date": "2014-06-17", + "bbox": "-83.0948, 35.2266, -82.0565, 35.5858", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979123144-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979123144-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2diphx_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) IPHEx dataset was collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. Collected from five sites, the data contains daily ASCII files with information on individual hydrometeors including the number of hydrometeors, raindrop size distribution, and particle concentration. Overall data dates range from April 23, 2014 through June 17, 2014; exact dates may vary per site.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0175783_Not Applicable", - "title": "Agulhas Current transport derived from satellite altimetry observations in Indian Ocean from 1992-10-14 to 2016-12-28 (NCEI Accession 0175783)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-10-14", - "end_date": "2016-12-28", - "bbox": "27, -40, 30, -34", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380711-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380711-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A0175783_Not%20Applicable", - "description": "The Agulhas Current is the western boundary current closing the upper-limb of the Indian Ocean subtropical gyre, and is largely linked with the transfer of warm water from the Indian Ocean to the South Atlantic subtropical gyre. This interbasin water exchange takes place mostly through mesoscale processes that occur when the Agulhas Current retroflects south of Africa between 15\u00c2\u00b0E and 25\u00c2\u00b0E. Estimates of the Agulhas Current are carried out by NOAA/AOML using satellite altimetry as the main dataset, and hydrographic observations. For more information, please visit: http://www.aoml.noaa.gov/phod/indexes/index.php", + "id": "gpm2dlpvex_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) LPVEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-15", + "end_date": "2010-10-20", + "bbox": "24.9749, 60.1045, 25.6247, 60.4846", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979123518-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979123518-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dlpvex_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) LPVEx dataset was collected during the Light Precipitation Evaluation Experiment (LPVEx), which took place in September and October 2010 in the Gulf of Finland. The experiment aimed to characterize the ability of CloudSat, the Global Precipitation Mission (GPM) Dual-frequency Precipitation Radar (DPR), and existing/planned passive microwave (PMW) sensors, such as the GPM microwave imager (GMI), to detect light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0175786_Not Applicable", - "title": "Abundance and Distribution of Commercially Important Estuarine Dependent Species Populations within the Gulf of Mexico from 1986-04-01 to 2017-06-27 (NCEI Accession 0175786)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-04-01", - "end_date": "2017-06-27", - "bbox": "-89.85889, 29.8917, -87.6955, 30.68067", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380737-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380737-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0175786_Not%20Applicable", - "description": "This dataset contains records of Gulf of Mexico (GOM) blue crab (Callinectes sapidus), white shrimp (Litopenaeus setiferus), brown shrimp (Farfantepenaeus aztecus), and fishes which can be used to quantify their population abundances and distributions. The data set contains existing data as a baseline and supplemental data from continued sampling. It contains records of early life stage blue crab, white shrimp, brown shrimp, and fishes (measurements and counts) from beach seine and trawl samples across the north GOM in the central Gulf States that were collected using standardized sampling methods. Data also include habitat assessments such as descriptions, georeferencing information, and abiotic factors (DO, salinity, temperature).", + "id": "gpm2dmc3e_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-21", + "end_date": "2011-06-06", + "bbox": "-97.5323, 36.5784, -97.4447, 36.6334", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979123780-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979123780-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dmc3e_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which provides data on raindrop size and precipitation drop size distribution. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0176496_Not Applicable", - "title": "Biological Baseline Studies of Mobile Bay (MESC-CAB 1980-1981): Hydrography, Sediments, Benthic Fauna, Pelagic Fauna, Phytoplankton, and Zooplankton (NCEI Accession 0176496)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-04-03", - "end_date": "1981-08-26", - "bbox": "-88.17333, 30.23833, -87.85167, 30.61333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376767-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376767-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0176496_Not%20Applicable", - "description": "Data from a monthly survey of Mobile Bay between April 1980 and August 1981. Extant data from the MESC Data Management System include sediment particle size distribution, discrete hydrography, identification and enumeration of benthic fauna, and identification and enumeration of water column biota.", + "id": "gpm2dnsstc_1", + "title": "GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) NSSTC V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2009-11-20", + "end_date": "2011-10-13", + "bbox": "-86.6419, 34.7233, -86.6419, 34.7233", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979124928-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979124928-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dnsstc_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) NSSTC dataset was collected by the Two-Dimensional Video Disdrometer (2DVD), which uses two high speed line scan cameras which provide continuous measurements of size distribution, shape and fall velocities of all precipitation particles and types. This 2DVD is the third generation 2D video disdrometer designed by Joanneum Research of Graz, Austria. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC) in Hunstville, AL. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0185741_Not Applicable", - "title": "Carbonate Chemistry Dynamics on Southeast Florida coral reefs from 2014-05-27 to 2015-09-03 (NCEI Accession 0185741)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-05-27", - "end_date": "2015-09-03", - "bbox": "-80.132778, 25.6519, -80.076975, 26.1636", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379082-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379082-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0185741_Not%20Applicable", - "description": "These data are from the article \u00e2\u0080\u009cSeasonal carbonate chemistry dynamics on southeast Florida coral reefs: localized acidification hotspots from navigational inlets\u00e2\u0080\u009d published in Frontiers in Marine Science. The data in this package were collected from inlets and reefs along the coast of Southeast Florida. Water was collected bi-monthly from four reefs (Oakland Ridge, Barracuda, Pillars, and Emerald) and three closely-associated inlets (Port Everglades, Bakers Haulover, and Port of Miami). Water samples were collected at these locations either at the surface (~1m depth) or immediately above the benthos measured using a rosette sampler (ECO 55, Seabird). Temperature was recorded at each depth using a CTD (SBE 19V2, Seabird). Turbidity (NTU) was measured at time of water collection. Once collected, water samples were transferred to borosilicate glass bottles, samples were fixed using 200 \u00c2\u00b5L of HgCl2 and sealed using Apiezon grease and a glass stopper. Salinity was measured using a densitometer (DMA 5000M, Anton Paar), while total alkalinity (TA) and dissolved inorganic carbon (DIC) were determined using Apollo SciTech instruments (AS-ALK2 and AS-C3, respectively). All values were measured in duplicate and corrected using certified reference materials following recommendations in Dickson et al. (2007). Aragonite saturation state (\u00ce\u00a9Arag.), Calcite saturation state (\u00ce\u00a9Ca), pH (Total scale), and the partial pressure of CO2 (pCO2) were calculated with CO2SYS (Lewis and Wallace, 1998) using the dissociation constants of Mehrbach et al. (1973) as refit by Dickson and Millero (1987) and Dickson (1990). Water samples were reserved for nutrient analyzed at time of collection to determine Total Kjeldahl Nitrogen, Total Phosphorous, and fluorescence of Chlorophyll-a. This research was supported through NOAA\u00e2\u0080\u0099s Coral Reef Conservation Program.", + "id": "gpm2dvdolyx_1", + "title": "GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-10-31", + "end_date": "2016-01-17", + "bbox": "-123.993, 47.36, -123.812, 47.514", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979125379-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979125379-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dvdolyx_1", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) OLYMPEX dataset contains information on individual hydrometeors including their size distribution, terminal fall speed, and total concentration collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Two-Dimensional Video Disdrometer (2DVD) data were collected from four sites during the campaign. The dataset files are available from October 31, 2015 through January 17, 2016 (though the exact dates may vary per site) in ASCII-tsv format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0185742_Not Applicable", - "title": "Climatology for NOAA Coral Reef Watch (CRW) Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1 for 1985-01-01 to 2012-12-31 (NCEI Accession 0185742)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-01-01", - "end_date": "2012-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379091-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379091-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0185742_Not%20Applicable", - "description": "This package contains a set of 12 monthly mean (MM) climatologies, one for each calendar month, and the maximum monthly mean (MMM) climatology. Each climatology has global coverage at 0.05-degree (5km) spatial resolution. The climatologies were derived from NOAA Coral Reef Watch's (CRW) CoralTemp Version 1.0 product and are based on the 1985-2012 time period of the CoralTemp data. They are used in deriving CRW's Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1. MMs are used to derive the SST Anomaly product, and the MMM is used to derive CRW's Coral Bleaching HotSpot, Degree Heating Week, and Bleaching Alert Area products.", + "id": "gpm2dwff2_2", + "title": "GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) WFF V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-07-24", + "end_date": "2015-10-05", + "bbox": "-75.4781, 37.9289, -75.4572, 37.9442", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979125920-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979125920-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpm2dwff2_2", + "description": "The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) WFF data were collected during the Global Precipitation Mission (GPM) Ground Validation (GV) campaign at the NASA Wallops Flight Facility (WFF) in Wallops Island, Virginia. These data consist of the size, equivalent diameter, fall speed, oblateness, cross-sectional area of raindrops, particle concentration, total number of drops, total drop concentration, liquid water content, rain rate, reflectivity, and rain event characteristics. The data are in ASCII format and available from July 24, 2013 through October 5, 2015.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0185753_Not Applicable", - "title": "Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Laurentian in Lake Huron, Great Lakes from 2006-09-01 to 2012-12-31 (NCEI Accession 0185753)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2006-09-01", - "end_date": "2012-12-31", - "bbox": "-84.5, 43.2, -79.8, 46.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379102-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379102-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0185753_Not%20Applicable", - "description": "Raw data from the benthic macroinvertebrate surveys conducted in Saginaw Bay in 2006-2009, and in Lake Huron, including Georgian Bay and North Channel, in 2007 and 2012. These basic benthic survey data provide number of each taxon in each replicate sample (abundance), density, and biomass.", + "id": "gpmadmirgcpex_1", + "title": "GPM GROUND VALIDATION ADVANCED MICROWAVE RADIOMETER RAIN IDENTIFICATION (ADMIRARI) GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-14", + "end_date": "2012-02-29", + "bbox": "-79.82, 44.18, -79.73, 44.29", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126099-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126099-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmadmirgcpex_1", + "description": "The GPM Ground Validation Advanced Microwave Radiometer Rain Identification (ADMIRARI) GCPEx dataset measures brightness temperature at three frequencies (10.7, 21.0 and 36.5 GHz) and at two polarized planes (H & V). The ADMIRIRI retrieval typically provides rain/cloud liquid water path (LWP) and integrated water vapor, and for low water content cases it provides the total LWP and integrated water vapor. The ADMIRARI is a scanning radiometer like its auxiliary active instruments, which include a Micro Rain Radar (MRR) and a cloud lidar, which provide reflectivity profiles and cloud base altitude at the same scanning angle as the ADMIRIRI. This data was collected during the GPM Cold-season Precipitation Experiment (GCPEx) located in Ontario, Canada, January 14, 2012 through February 29, 2012. Reference: http://www2.meteo.uni-bonn.de/admirari.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0186561_Not Applicable", - "title": "2003 Marine Fisheries Initiative (MARFIN) Gulf of Mexico and South Atlantic angler survey (NCEI Accession 0186561)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2003-01-01", - "end_date": "2003-12-31", - "bbox": "-98, 25, -80, 31", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380124-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380124-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0186561_Not%20Applicable", - "description": "This Archival Information Package (AIP) contains information, angler experiences, and preferences for recreational fishing in the Gulf of Mexico and South Atlantic. Data were collected by the NMFS Southeast Fisheries Science Center; Miami, FL. Data are in comma separated value (CSV) format and include recreational angler information such as age, gender, income, and target fish.", + "id": "gpmahdmetolyx_1", + "title": "GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-13", + "end_date": "2016-01-17", + "bbox": "-123.48, 48.37, -123.46, 48.39", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980046643-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980046643-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmahdmetolyx_1", + "description": "The GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX dataset consists of precipitation rate, reflectivity, pressure, temperature, relative humidity, wind speed, and wind direction data which were measured by the MET station instruments operated by the Environment and Climate Change Canada (ECCC) and located in Albert Head, B.C., Canada. The MET station was comprised of a Vaisala FD12P Visibility Sensor, an OTT Parsivel2 Present Weather Sensor, an OTT Pluvio2 Precipitation Gauge, and a Vaisala WXT520 Weather Transmitter. The MET Station was also co-located with a CAX-1 radar to compare measurements from the MET station with the radar scans. These MET Station data files are available from November 13, 2015 through January 17, 2016 in ASCII-CSV and XML formats, with daily browse images of precipitation rate plots in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0191401_Not Applicable", - "title": "Biogeochemical and microbiological measurements in the Cariaco Basin, a truly marine anoxic system in the southeastern Caribbean Sea, from 1995-11-13 to 2015-11-14 by the CARIACO Ocean Time Series Program (formerly known as CArbon Retention In A Colored Ocean) aboard the B/O Hermano Gines (NCEI Accession 0191401)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-11-13", - "end_date": "2015-11-14", - "bbox": "-64.66, 10.5, -64.66, 10.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377738-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377738-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVyaW5nIHNlYSBpbm5lciBmcm9udCB6b29wbGFua3RvbiBkYXRhIHNldHMgY29sbGVjdGVkIHdpdGggY2FsdmV0IG5ldCBvbiBmb3VyIGNydWlzZXMgZnJvbSA2LzMvMTk5NyAtIDkvMS8xOTk4IChuY2VpIGFjY2Vzc2lvbiAwMDAwMTAzKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDAxMDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3Mjc0MCwxXSIsInVtbSI6IltcImJlcmluZyBzZWEgaW5uZXIgZnJvbnQgem9vcGxhbmt0b24gZGF0YSBzZXRzIGNvbGxlY3RlZCB3aXRoIGNhbHZldCBuZXQgb24gZm91ciBjcnVpc2VzIGZyb20gNi8zLzE5OTcgLSA5LzEvMTk5OCAobmNlaSBhY2Nlc3Npb24gMDAwMDEwMylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwMTAzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI3NDAsMV0ifQ%3D%3D/gov.noaa.nodc%3A0191401_Not%20Applicable", - "description": "Biogeochemical and microbiological variables were measured by Stony Brook University participants (see Author List) in the CARIACO Ocean Time-Series Program in order to study the microbial cycling of carbon, sulfur, and nitrogen occurring at depths where waters transition from oxic to anoxic to sulfidic. Samples were collected by Nikson bottles from 1995-11-13 to 2015-11-14 in the Cariaco Basin (southeastern Caribbean Sea off northeastern Venezuelan coast) aboard the B/O Hermano Gines, operated by the Fundacion La Salle, Venezuela.", + "id": "gpmampriphx2_2", + "title": "GPM GROUND VALIDATION ADVANCED MICROWAVE PRECIPITATION RADIOMETER (AMPR) IPHEX V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-14", + "bbox": "-87.1608, 29.957, -71.1657, 39.0117", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126358-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126358-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/gpmampriphx2_2", + "description": "The GPM Ground Validation Advanced Microwave Precipitation Radiometer (AMPR) IPHEx dataset was acquired by the AMPR instrument flown aboard the high altitude ER-2 aircraft during the IPHEx field campaign in North Carolina from May 1, 2014 through June 14, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. These files include the Level 2B calibrated and georeferenced brightness temperature for the four AMPR-observed frequencies (10, 19, 37, 85 GHz). These data are archived in a netCDF-4 format that contains the calibrated brightness temperatures in addition to ER-2 aircraft navigation and instrument scene georectification variables. Corresponding browse imagery are also available in JPG format. A set of Python software has been developed for reading, plotting, and providing some additional analysis capabilities. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0194300_Not Applicable", - "title": "ADCP, CTD, water and sediment chemistry, and underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24 (NCEI Accession 0194300)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-04-11", - "end_date": "2012-04-24", - "bbox": "-90.5895, 27.2111, -87.42629, 30.35717", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378330-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378330-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0194300_Not%20Applicable", - "description": "This dataset contains ADCP, CTD, water and sediment chemistry, and other underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24. The CTD profiles were done at 4 locations using Sea-Bird SBE 911plus from 2012-04-11 to 2012-04-14 and include seawater conductivity, temperature, pressure, salinity, density, oxygen concentration, sound velocity, dissolved oxygen, beam attenuation, light transmission, fluorescence, surface irradiance, and depth parameters. The current velocity data was measured by a hull-mounted mounted Acoustic Doppler Current Profiler (ADCP) and other underway sensor data was measured with a Sea-Bird SBE 21 (tsg), Sea-Bird SBE 45 (tsg) and underway sensors/navigational instruments. All data records include sampling time (UTC), position (Latitude, Longitude) and water depth. In addition, the dataset also includes the water column and sediment chemistry data and the measurements include the concentration of dissolved nutrients, dissolved gases, total particulate nitrogen (TPN), total particulate carbon (TPN), particulate organic carbon (POC), and particulate inorganic carbon acquired from 8 CTD casts and 6 multiple corer drops. The objective of this cruise was to study the impact of the Deepwater Horizon (DWH) blowout on the water column and benthic communities of the Gulf of Mexico and compare these impacts to naturally occurring oil and gas seeps. These data are also available at Rolling Deck to Repository (R2R) under cruise https://doi.org/10.7284/902570.", + "id": "gpmamprmc3e_1", + "title": "GPM GROUND VALIDATION ADVANCED MICROWAVE PRECIPITATION RADIOMETER (AMPR) MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-25", + "end_date": "2011-06-01", + "bbox": "-105.64, 27.8598, -91.3954, 42.4929", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126507-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126507-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/gpmamprmc3e_1", + "description": "The GPM Ground Validation Advanced Microwave Precipitaiton Radiometer (AMPR) MC3E dataset was collected by the Advanced Microwave Precipitation Radiometer (AMPR) instrument, which played a key role in the Midlatitude Continental Convective Clouds Experiment (MC3E). The AMPR remotely sensed passive microwave signatures of geophysical parameters from an airborne platform. The instrument is a low noise system which provided multi-frequency microwave imagery with high spatial and temporal resolution. AMPR data were collected at a combination of four microwave frequencies (10.7, 19.35, 37.1, and 85.5 GHz) with two orientations each (Vpol-to-Hpol and Hpol-to-Vpol), which were complimentary to current aircraft and satellite instrumentation. These frequencies are best suited to the study of rain systems, but were also useful to studies of other atmospheric, oceanic, and land surface processes.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0204167_Not Applicable", - "title": "Cetacean digital photography and aerial observer data collected by an unmanned aerial vehicle and manned aerial vehicle in the Beaufort Sea for the Arctic Aerial Calibration Experiments (ACEs) from 2015-08-26 to 2015-09-07 (NCEI Accession 0204167)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-08-26", - "end_date": "2015-09-07", - "bbox": "-159.3, 71, -153.1, 72", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379246-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379246-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0204167_Not%20Applicable", - "description": "This dataset includes two comma separated files containing data and metadata from three cetacean observation methods from two platforms, the manned Turbo Commander aircraft and the unmanned ScanEagle. The ACEs' imagery described here was collected and analyzed in order to conduct a 3-way comparison of data and derived statistics from the following: Observers in the manned aircraft; Digital photographs from cameras mounted to the manned aircraft; Digital photographs from cameras mounted to the Unmanned Aerial Vehicle (UAV). The Arctic Aerial Calibration Experiments (ACEs) study was designed to evaluate the ability of UAS technology (i.e., airframe, payloads, sensors, and software) to detect cetaceans, identify individuals to species, estimate group size, identify calves, and estimate density in arctic waters, relative to conventional aerial surveys conducted by human observers in fixed wing aircraft and to photographic strip transect data collected from the manned aircraft.", + "id": "gpmamprolyx_1", + "title": "GPM Ground Validation Advanced Microwave Precipitation Radiometer (AMPR) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-09", + "end_date": "2015-12-15", + "bbox": "-130.947, 33.7591, -117.287, 50.0166", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126614-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126614-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/gpmamprolyx_1", + "description": "The GPM Ground Validation Advanced Microwave Precipitation Radiometer (AMPR) OLYMPEX dataset was collected by the AMPR instrument flown on the high altitude ER-2 research aircraft from November 9 - December 15, 2015, during the Olympic Mountains Experiment (OLYMPEX) field campaign conducted at Washington State\u2019s Olympic Peninsula. AMPR is an airborne passive microwave radiometer from which cloud, precipitation, water vapor, wind speed and wind direction can be obtained using advanced algorithms with the 10.7, 19.35, 37.1, and 85.5 GHz microwave frequency brightness temperatures measured by AMPR. The primary goal of OLYMPEX was to validate rain and snow measurements in midlatitude frontal systems moving from ocean to coast to mountains. AMPR data at the Global Hydrology Resource Center (GHRC) DAAC include netCDF format data files of brightness temperature and PNG browse files of Quality Control Flags and Brightness Temperatures.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0204646_Not Applicable", - "title": "Benthic cover from automated annotation of benthic images collected at coral reef sites in the Pacific Remote Island Areas and American Samoa from 2018-06-08 to 2018-08-11 (NCEI Accession 0204646)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2018-06-08", - "end_date": "2018-08-11", - "bbox": "-176.626077, -14.558022, -159.971695, 6.451465", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379357-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379357-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0204646_Not%20Applicable", - "description": "The coral reef benthic community data described here result from the automated annotation (classification) of benthic images collected during photoquadrat surveys conducted by the NOAA Pacific Islands Fisheries Science Center (PIFSC), Ecosystem Sciences Division (ESD, formerly the Coral Reef Ecosystem Division) as part of NOAA's ongoing National Coral Reef Monitoring Program (NCRMP). SCUBA divers conducted benthic photoquadrat surveys in coral reef habitats according to protocols established by ESD and NCRMP during the ESD-led NCRMP mission to the islands and atolls of the Pacific Remote Island Areas (PRIA) and American Samoa from June 8 to August 11, 2018. Still photographs were collected with a high-resolution digital camera mounted on a pole to document the benthic community composition at predetermined points along transects at stratified random sites surveyed only once as part of Rapid Ecological Assessment (REA) surveys for corals and fish (Ayotte et al. 2015; Swanson et al. 2018) and permanent sites established by ESD and resurveyed every ~3 years for climate change monitoring. Overall, 30 photoquadrat images were collected at each survey site. The benthic habitat images were quantitatively analyzed using the web-based, machine-learning, image annotation tool, CoralNet (https://coralnet.ucsd.edu; Beijbom et al. 2015; Williams et al. 2019). Ten points were randomly overlaid on each image and the machine-learning algorithm \"robot\" identified the organism or type of substrate beneath, with 300 annotations (points) generated per site. Benthic elements falling under each point were identified to functional group (Tier 1: hard coral, soft coral, sessile invertebrate, macroalgae, crustose coralline algae, and turf algae) for coral, algae, invertebrates, and other taxa following Lozada-Misa et al. (2017). These benthic data can ultimately be used to produce estimates of community composition, relative abundance (percentage of benthic cover), and frequency of occurrence.", + "id": "gpmapr2gcpex_1", + "title": "GPM GROUND VALIDATION AIRBORNE SECOND GENERATION PRECIPITATION RADAR (APR-2) GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-19", + "end_date": "2012-02-25", + "bbox": "-83.9978, 41.1551, -69.9619, 45.8472", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126739-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979126739-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmapr2gcpex_1", + "description": "The GPM Ground Validation Airborne Second Generation Precipitation Radar (APR-2) GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The Second Generation Airborne Precipitation Radar (APR-2) is a dual-frequency (13 GHz and 35 GHz), Doppler, dual-polarization radar system. It has a downward looking antenna that performs cross track scans, covering a swath that is +/- 25 degrees to each side of the aircraft path. Additional features include: simultaneous dual-frequency, matched beam operation at 13.4 and 35.6 GHz (same as GPM Dual-Frequency Precipitation Radar), simultaneous measurement of both like- and cross-polarized signals at both frequencies, Doppler operation, and real-time pulse compression (calibrated reflectivity data can be produced for large areas in the field during flight, if necessary). The APR-2 flew aboard the NASA DC-8 for the GPM Cold-season Precipitation Experiment (GCPEx) from 11 January to 25 February, 2012.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0205786_Not Applicable", - "title": "Assessment of heat stress exposure in the wider Caribbean coral reefs through the regional delineation of degree heating week data from 1985-01-01 to 2017-12-31 (NCEI Accession 0205786)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-01-01", - "end_date": "2017-12-31", - "bbox": "-97, 8.35, -59.2, 32.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380033-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380033-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0205786_Not%20Applicable", - "description": "This data package presents a three-decade (1985-2017) assessment of heat stress exposure in the wider Caribbean coral reefs at the ecoregional and local scales. The main heat stress indicator used was the Degree Heating Weeks (DHW) calculated from daily Sea Surface Temperature \"CoralTemp\" data from CRW-NOAA available from 1985 to the present and from the maximum monthly mean (MMM) version 3.1 at 5 km of the CRW-NOAA program. Different metrics were calculated based on daily DHW and are available in this dataset: a) the maximum value of DHW per pixel for the entire time series b) the frequency of the annual maximum values of DHW \u00e2\u0089\u00a5 4 \u00c2\u00b0C- weeks (a predictor of coral \"bleaching risk\") per pixel c) the frequency of the annual maximum values of DHW \u00e2\u0089\u00a5 8 \u00c2\u00b0C- weeks (a predictor of bleach-induced mortality or \"mortality risk\") per pixel d) the year in which the maximum of DHW occurred e) the trend of the annual maximum values of DHW per pixel. Based on the spatiotemporal annual maximum DHW, a new regionalization of heat stress was performed by cluster analysis with the K-means algorithm through the unsupervised classification, this new regionalization delimits the Caribbean in 8 Heat Stress Regions (HSR). We summarized spatiotemporal daily data to describe the temporal patterns at an ecoregional scale by calculating the descriptive statistics of the regional DHW on a given day. This dataset represents a new baseline and regionalization of heat stress in the wider Caribbean coral reefs that will enhance conservation and planning efforts underway.", + "id": "gpmapr3olyx2_2", + "title": "GPM Ground Validation Airborne Precipitation Radar 3rd Generation (APR-3) OLYMPEX V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-12", + "end_date": "2015-12-19", + "bbox": "-129.14, 46.1711, -122.026, 49.4321", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979127310-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979127310-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmapr3olyx2_2", + "description": "The GPM Ground Validation Airborne Precipitation Radar 3rd Generation (APR-3) OLYMPEX V2 dataset was collected from November 12, 2015 to December 19, 2015 during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. This dataset is version -2 (V2) of the APR-3, an enhanced and upgraded instrument derived from the APR-2 used in previous field campaigns. APR-3 has the addition of W-band measurement capability, and scans cross-track from +/- 25\u00b0 to the right and left of nadir. Ku-band, Ka-band, and W-band frequency Doppler measurements are made by APR-3 from the DC-8 aircraft at 10 km altitude during OLYMPEX. The APR-3 dataset files are in HDF-5 format with JPG format browse images. This dataset contains radar reflectivity, Doppler velocity for all bands, linear depolarization ratio at Ku-band, and normalized radar cross section measurements at Ka and Ku-bands. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0206155_Not Applicable", - "title": "2019 Summer Hypoxia Survey of Alabama Shelf CTD Data (2019-06-04 to 2019-08-02) (NCEI Accession 0206155)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2019-06-04", - "end_date": "2019-08-02", - "bbox": "-88.418, 29.4782, -88.004, 30.2166", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380106-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380106-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0206155_Not%20Applicable", - "description": "Along the Fisheries Oceanography in Coastal Alabama (FOCAL) Transect on the Alabama shelf, a CTD survey was conducted using Seabird SBE 25 Sealogger CTD between 06/04/2019 and 08/02/2019. Data collected measured depth (m), salinity (PSU), temperature (ITS-90, deg C), oxygen (% Saturation), oxygen (mg/L), pH (pH), specific conductance (\u00c2\u00b5S/cm), beam attenuation (1/m), beam transmission (%), density (kg/m3), conductivity (\u00c2\u00b5S/cm), PAR (\u00c2\u00b5mol m-1 s-1), fluorescence (mg/m3), and fluorescence (mg/m3). Data was collected on 2019-06-04, 2019-06-28, 2019-07-02, 2019-07-05, 2019-07-09, 2019-07-16, 2019-07-19, 2019-07-30, and 2019-08-02 during the summer of 2019.", + "id": "gpmapuicepop_1", + "title": "GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-10-13", + "end_date": "2018-07-01", + "bbox": "128.378, 37.3779, 129.124, 38.2509", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979127770-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979127770-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmapuicepop_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP dataset was collected during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE POP) field campaign in South Korea. The two major objectives of ICE POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurements mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from October 31, 2015 through July 1, 2018. It should be noted that this dataset extends prior to the field campaign.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0207181_Not Applicable", - "title": "Ammonia (NH3) emissions characterization from agricultural soil sources from the NH3_STAT statistical model from 1990-01-01 to 2019-01-01 (NCEI Accession 0207181)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-01-01", - "end_date": "2019-01-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380670-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380670-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0207181_Not%20Applicable", - "description": "This NCEI accession contains statistical model (NH3_STAT) data. Global ammonia (NH3) emissions into the atmosphere are projected to increase in the coming years with the increased use of synthetic nitrogen fertilizers and cultivation of nitrogen-fixing crops. A statistical model (NH3_STAT) is developed for characterizing atmospheric NH3 emissions from agricultural soil sources, and compared to the performance of other global and regional NH3 models (e.g., EDGAR, MASAGE, MIX and U.S. EPA). The statistical model was developed by expressing a multiple linear regression equation between NH3 emission and the physicochemical variables. The model was evaluated for 2012 NH3 emissions. The results indicate that, in comparison to other data sets, the model provides a lower global NH3 estimate by 57%, (NH3_STAT: 13.9 Tg N yr-1; EDGAR: 33.0 Tg N yr-1). We also performed a region-based analysis (U.S., India, and China) using the NH3_STAT model. For the U.S., our model produces an estimate that is 143% higher in comparison to EPA. Meanwhile, the NH3_STAT model estimate for India shows NH3 emissions between -0.8 and 1.4 times lower when compared to other data sets. A lower estimate is also seen for China, where the model estimates NH3 emissions 0.4-5 times lower than other datasets. The difference in the global estimates is attributed to the lower estimates in major agricultural countries like China and India. The statistical model captures the spatial distribution of global NH3 emissions by utilizing a simplified approach compared to other readily available datasets. Moreover, the NH3_STAT model provides an opportunity to predict future NH3 emissions in a changing world.", + "id": "gpmapuolyx_1", + "title": "GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-01-10", + "end_date": "2016-01-31", + "bbox": "-124.369, 47.2025, -123.478, 48.3871", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979128148-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979128148-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmapuolyx_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX dataset was collected during the OLYMPEX field campaign held at Washington's Olympic Peninsula during the intense observation period of November 2015 to the end of January 2016. The dataset consists of data collected by 16 APUs. The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. This APU dataset provides precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0208019_Not Applicable", - "title": "Carbonate chemistry data at the Aransas Ship Channel from 2018-03-08 to 2019-08-22 (NCEI Accession 0208019)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2018-03-08", - "end_date": "2019-08-22", - "bbox": "-97.050278, 27.838056, -97.050278, 27.838056", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380855-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380855-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0208019_Not%20Applicable", - "description": "This dataset includes both hydrographic (salinity, temperature, dissolved oxygen) and carbonate chemistry data collected at the Aransas Ship Channel (Port Aransas, TX) under the funding provided by the National Academy of Sciences Gulf Research Program (Grant# 2000009312) during the period of 03/08/2018-08/22/2019.", + "id": "gpmapuwff_1", + "title": "GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-05-08", + "end_date": "2014-10-08", + "bbox": "-75.5812, 37.8294, -75.3562, 38.0442", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979128844-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979128844-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmapuwff_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration obtained from six Autonomous Parsivel Units (APUs) positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. Data are available in ASCII format for the period of May 6, 2013 through October 9, 2014. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0208388_Not Applicable", - "title": "Biological, chemical, physical and time series data collected from station WQB-04 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2010-10-23 to 2020-12-31 (NCEI Accession 0208388)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-10-23", - "end_date": "2020-12-31", - "bbox": "-155.082, 19.7341, -155.082, 19.7341", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376817-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376817-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0208388_Not%20Applicable", - "description": "NCEI Accession 0208388 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB-04: PacIOOS Water Quality Buoy 04: Hilo Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-04 is located in Hilo Bay on the east side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill.", + "id": "gpmarsifld_1", + "title": "GPM Ground Validation USDA ARS Soil Moisture IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-16", + "end_date": "2013-06-04", + "bbox": "-93.5991, 42.3183, -93.2108, 42.5546", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979128995-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979128995-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmarsifld_1", + "description": "The GPM Ground Validation United States Department of Agriculture (USDA) Agricultural Research Service (ARS) Soil Moisture IFloodS dataset was collected during the Iowa Flood Studies (IFloodS) ground measurement campaign from April 17, 2013 to June 4, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. A total of 15 stations were deployed near the South Fork River in North Central Iowa. The soil moisture probes measure hourly instantaneous measurements of the real dielectric permittivity, soil temperature, bulk electrical conductivity, and volumetric soil moisture. This dataset also consists of precipitation amount, air temperature, relative humidity, vapor pressure, wind speed, wind direction, and solar radiation measurements. The data files are available in ASCII-csv and Excel file formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209056_Not Applicable", - "title": "Bottom Temperatures from ship mounted temperature probes collected in in North Atlantic from 2015-01-16 to 2019-02-10 (NCEI Accession 0209056)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-01-10", - "end_date": "2020-02-10", - "bbox": "-76.34258, 35.98645, -66.42055, 44.58673", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377982-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377982-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0209056_Not%20Applicable", - "description": "This data set contains bottom temperature data collected by thermistors mounted on lobster boats in the North Atlantic and Stellwagen Bank. The accession consists of one .csv file contains the following variables - the location the temperature was recorded( site), the latitude (degrees N), longitude (degrees E), depth (m) and sea water temperature (degrees C) of each record. This data was collected as part of the Environmental Monitors on Lobster Traps (eMOLT) project - a non-profit collaboration of industry, science and academics devoted to the monitoring of the physical environment of the Gulf of Maine and the Southern New England Shelf.", + "id": "gpmasinaiphx_1", + "title": "GPM GROUND VALIDATION TOTAL SKY IMAGER IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-06", + "end_date": "2014-06-15", + "bbox": "-83.18, 35.48, -83.04, 35.56", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980067507-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980067507-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmasinaiphx_1", + "description": "The GPM Ground Validation Total Sky Imager IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 9, 2014 through June 14, 2014. The dataset includes data from the total sky imager instrument which is part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. It is an automatic, full-color sky imager system providing real-time, full color digital images of daytime sky conditions. Data files are available in the JPEG image format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209071_Not Applicable", - "title": "ADCP velocity, echo intensity, and compass heading from two near-bottom moorings in the south equatorial Atlantic Ocean from 2009-12-01 to 2010-03-23 (NCEI Accession 0209071)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-12-01", - "end_date": "2010-03-23", - "bbox": "11.2067, -5.8778, 11.2067, -5.8778", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378065-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378065-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0209071_Not%20Applicable", - "description": "This dataset contains ADCP velocity, echo intensity, and compass heading from two near-bottom moorings in the south equatorial Atlantic Ocean in the Congo submarine canyon during ~3 month period from 2009-12-01 to 2010-03-23. Two ADCPs with acoustic frequencies of 300 kHz and 75 kHz were deployed on separate moorings placed in the channel axis 700 m apart and at ~2000 m water depth. They acquired data over a range of ~80 m above the seafloor (300 kHz) and 220 m above the seafloor (75 kHz). Data are in netcdf.", + "id": "gpmasoolyx_1", + "title": "GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-09-04", + "end_date": "2016-03-30", + "bbox": "-124.185, 47.493, -123.129, 48.0909", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129209-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129209-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmasoolyx_1", + "description": "The GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX dataset consists of snow depth, bare earth surface, land surface classification and a Red, Green, Blue (RGB) composite image, provided at 3 m spatial resolution during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by a Riegl Q1560 scanning LiDAR and an ITRES CASI-1500 imaging spectrometer , both part of the NASA Airborne Snow Observatory (ASO), during two separate periods, February 8-9, 2016 and March 29-30, 2016. A previous September 2014 flight was used to obtain no-snow measurements used for deriving snow depth. The data are provided in GeoTIFF format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209115_Not Applicable", - "title": "Aragonite Saturation State in Deep Sea Coral Habitats collected from NOAA Ship Nancy Foster in Gulf of Mexico from 2017-08-14 to 2017-08-30 (NCEI Accession 0209115)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2017-08-14", - "end_date": "2017-08-30", - "bbox": "-84.90713, 25.66118, -80.02228, 29.18645", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378161-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378161-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0209115_Not%20Applicable", - "description": "The dataset contains 17 depth profiles from 20-1000 m depth on the West Florida Shelf. Parameters include aragonite saturation state, total alkalinity, DIC, temperature and salinity. The data were collected using a CTD rosette aboard a NOAA-led research expedition in August 2017 entitled \u00e2\u0080\u0098Southeast Deep Coral Initiative: Exploring Deep-Sea Corals Ecosystems of the Southeast US\u00e2\u0080\u0099. The NOAA-led survey explored deep-sea coral habitat along West Florida shelf, using the remotely operated vehicle (ROV) Odysseus aboard NOAA Ship Nancy Foster. The cruise report for the expedition is hosted online here: https://doi.org/10.7289/V5/TM-NOS-NCCOS-244 (Wagner et al 2018).", + "id": "gpmavapsolyx_1", + "title": "GPM Ground Validation Advanced Vertical Atmospheric Profiling System (AVAPS) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-12", + "end_date": "2015-12-19", + "bbox": "-128.876, 46.2982, -124.564, 48.202", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129320-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129320-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmavapsolyx_1", + "description": "The GPM Ground Validation Advanced Vertical Atmospheric Profiling System (AVAPS) OLYMPEX dataset contains dropsonde vertical profiles of atmospheric pressure, air temperature, dew point temperature, relative humidity, wind direction and magnitude, and sensor location obtained during the Olympic Mountains Experiment (OLYMPEX). The AVAPS dropsondes were released during specific NASA DC-8 aircraft flights between November 12, 2015 and December 19, 2015. A total of 53 standard research dropsondes were launched in the Pacific ocean off the coast of Washington state collecting atmospheric profile observations. The AVAPS datasets are available in ASCII-eol text format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209162_Not Applicable", - "title": "Biological, chemical, physical and time series data collected from station WQB-05 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2018-03-10 to 2020-12-31 (NCEI Accession 0209162)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2018-03-10", - "end_date": "2020-12-31", - "bbox": "-155.8285, 20.02415, -155.8285, 20.02415", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378336-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378336-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwsIGdlb2xvZ2ljYWwsIGFuZCBvdGhlciBkYXRhIHdlcmUgY29sbGVjdGVkIGZyb20gdGhlIHIvdiBraXR0aXdha2UgYXQgMTAwIHNpdGVzIGluIHB1Z2V0IHNvdW5kIGZyb20gMDEganVuZSAxOTk4IHRvIDAxIGp1bHkgMTk5OCBhcyBwYXJ0IG9mIGEgdGhyZWUteWVhciBzdHVkeSBvZiB0b3hpbnMgKG5jZWkgYWNjZXNzaW9uIDAwMDA0MjUpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDQyNVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0ODg3LDFdIiwidW1tIjoiW1wiYmlvbG9naWNhbCwgY2hlbWljYWwsIGdlb2xvZ2ljYWwsIGFuZCBvdGhlciBkYXRhIHdlcmUgY29sbGVjdGVkIGZyb20gdGhlIHIvdiBraXR0aXdha2UgYXQgMTAwIHNpdGVzIGluIHB1Z2V0IHNvdW5kIGZyb20gMDEganVuZSAxOTk4IHRvIDAxIGp1bHkgMTk5OCBhcyBwYXJ0IG9mIGEgdGhyZWUteWVhciBzdHVkeSBvZiB0b3hpbnMgKG5jZWkgYWNjZXNzaW9uIDAwMDA0MjUpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDQyNVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc0ODg3LDFdIn0%3D/gov.noaa.nodc%3A0209162_Not%20Applicable", - "description": "NCEI Accession 0209162 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB-05: PacIOOS Water Quality Buoy 05: Pelekane Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-05 is located in Pelekane Bay near Kawaihae Harbor on the west side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill.", + "id": "gpmcax1cfolyx_1", + "title": "GPM Ground Validation CAX1 Radar CFradial format OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-14", + "end_date": "2016-04-01", + "bbox": "-124.376, 47.4888, -122.58, 49.2854", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981360835-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981360835-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcax1cfolyx_1", + "description": "The GPM Ground Validation CAX1 Radar CFradial format OLYMPEX dataset consists of radar parameters, such as Radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and Signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada to support the OLYMPEX field campaign. These data are available in Cfradial netCDF-4 format from November 14, 2015 through April 1, 2016.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209222_Not Applicable", - "title": "Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Lake Guardian in Lake Michigan, Great Lakes from 2015-07-20 to 2015-07-29 (NCEI Accession 0209222)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-07-20", - "end_date": "2015-07-29", - "bbox": "-88.1, 41.6, -84.75, 46.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378673-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378673-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0209222_Not%20Applicable", - "description": "Raw data from the benthic macroinvertebrate lake wide surveys conducted in Lake Michigan in 2015. These basic benthic survey data provide the number of each taxon in each replicate sample (abundance), density, and biomass. Similar lake wide surveys were conducted to assess the status of benthic taxa beginning in 1994/1995 and repeated every five years through 2015.", + "id": "gpmcax1odolyx_1", + "title": "GPM Ground Validation CAX1 Radar ODIM format OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-14", + "end_date": "2016-04-01", + "bbox": "-124.376, 47.4888, -122.58, 49.2854", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983295899-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983295899-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcax1odolyx_1", + "description": "The GPM Ground Validation CAX1 Radar ODIM format OLYMPEX dataset consists of radar parameters, such as Radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, Differential phase, Differential phase shift, Correlation coefficient, and Signal Quality Index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. These data are available in ODIM HDF-5 format, and have corresponding browse imagery in PNG format, from November 14, 2015 through April 1, 2016.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209226_Not Applicable", - "title": "Acropora cervicornis outplanting scores in the Florida Reef Tract from 2006-01-01 to 2099-12-31 (NCEI Accession 0209226)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2006-01-01", - "end_date": "2099-12-31", - "bbox": "-82.9771, 24.4437, -80.0646, 26.3438", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378705-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378705-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0209226_Not%20Applicable", - "description": "To maximize long term (>10yr) survival of nursery raised Acropora cervicornis corals, a map based tool was created that ranks locations in the Florida Acropora Critical Habitat based on climate vulnerability. Climate vulnerability is defined both in terms of exposure to future heat stress and the coral's sensitivity as resilience. Suitable sites are determined by a number of factors, suitable sites must be within the Acropora critical habitat and within the depth range 5-15m, with either hard bottom or coral present. Those possible locations are ranked based on projected climate change impacts and a resilience metric based on seven different indicators: coral cover, macroalgae cover, bleaching resistance, coral diversity, coral disease, herbivore biomass, and temperature variability. The data is presented as a Google Earth tool (zipped), maps, gridded netCDF files and are accompanied by a guidance document and a .csv file ranking all locations. The Google Earth tool contains five major layers: depth, turbidity, resilience, year of annual severe bleaching, and outplanting score. Bleaching projections included here use climate model data from 2006-2099.", + "id": "gpmcax1rbolyx_1", + "title": "GPM Ground Validation CAX1 Radar RB5 format OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-13", + "end_date": "2016-04-20", + "bbox": "-124.376, 47.4888, -122.58, 49.2854", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1984725037-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1984725037-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcax1rbolyx_1", + "description": "The GPM Ground Validation CAX1 Radar RB5 format OLYMPEX dataset consists of radar parameters, such as radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada (ECCC) to support the OLYMPEX field campaign. These data are available in RB5 binary and PNG formats from November 13, 2015 to April 20, 2016. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209247_Not Applicable", - "title": "Benthic cover derived from structure from motion images collected during marine debris surveys at coral reef sites entangled with derelict fishing nets at Pearl and Hermes Atoll in the Northwestern Hawaiian Islands from 2018-09-24 to 2018-10-03 (NCEI Accession 0209247)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2018-09-24", - "end_date": "2018-10-03", - "bbox": "-175.8211335, 27.8274571, -175.7880926, 27.8940486", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378869-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089378869-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0209247_Not%20Applicable", - "description": "The benthic cover and fishing-net related data described in this dataset are derived from the GIS analysis of benthic orthophotos. The source imagery was collected using a Structure from Motion (SfM) approach during in-water marine debris swim surveys conducted by snorkelers in search of derelict fishing nets. Surveys were conducted by the NOAA Fisheries, Ecosystem Sciences Division (ESD) from September 24 to October 3, 2018 at Pearl and Hermes Atoll during an ESD-led marine debris mission to the Northwestern Hawaiian Islands (NWHI) aboard NOAA Ship Oscar Elton Sette. The lagoon at Pearl and Hermes was surveyed equally across the spatial gradient, from locations where derelict fishing nets are common to locations where derelict fishing nets have never been observed. During the 2018 mission, only a subset of marine debris surveys resulted in a SfM survey. Fishing nets were located during swim surveys and selected for SfM if the net was interacting with coral or hard substrate, the depth of the net was within ~1\u00e2\u0080\u00934 m of the surface, and the area of the net fit within the 9 sq. meter SFM survey plot. During a SFM survey, a permanent 3 x 3 m plot was established around the center of the fishing net, and the net was photographed using a back and forth swim pattern (\u00e2\u0080\u009cbefore\u00e2\u0080\u009d photos) for later processing using a SfM approach. The net was then removed, the volume of net removed was estimated and recorded, and the same area was photographed again in the same way (\u00e2\u0080\u009cafter\u00e2\u0080\u009d photos). A nearby (>50 m distant) paired control site was also photographed using the same method (\u00e2\u0080\u009ccontrol\u00e2\u0080\u009d photos). The photographs were processed using Agisoft Metashape software to generate orthomosaic images that were analyzed in ArcGIS for benthic cover using a random point approach. The number of points at net-impacted sites were constrained to the net coverage area and were scaled to the net area to ensure an equal point density among replicate net-impact sites. The same number of points were randomly assigned to the 3 \u00c3\u0097 3 m paired control site. Each point was classified into one of seven benthic categories: turf algae, macroalgae, sand, bare substrate, Porites compressa, sponge, or crustose coralline algae (CCA). The annotated points for each site were converted to percent cover for each benthic category. Fishing net size (sq m) and degree of fouling were also calculated from the orthophotos. Analyses were conducted to compare the benthic composition of net sites to control sites and to determine if fouling or net size contributed to these differences.", + "id": "gpmceilgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) VAISALA CEILOMETER GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-01", + "bbox": "-79.5, 43.5, -78.5, 44.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129516-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129516-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmceilgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) VAISALA Ceilometer GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Huronia, Canada from January 15, 2012 through March 1, 2012. The GPM Cold-season Precipitation Experiment (GCPEx) occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The CT25K ceilometer uses pulsed diode laser LIDAR technology to derive backscatter profiles, cloud heights and vertical visibilities. It is also able to detect 3 cloud layers simultaneously.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0209357_Not Applicable", - "title": "A Toolbox for secondary quality control on ocean chemistry and hydrographic data (NCEI Accession 0209357)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2000-01-01", - "end_date": "2020-03-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379328-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379328-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0209357_Not%20Applicable", - "description": "This NCEA Accession contains MatLab files for a Toolbox for secondary quality control (2nd QC) on ocean chemistry and hydrographic data. High quality, reference measurements of chemical and physical properties of seawater are of great importance for a wide research community, including the need to validate models and attempts to quantify spatial and temporal variability. Whereas data precision has been improved by technological advances, the data accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the use of crossover analysis. This method and how it has been implemented in this toolbox is described in detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible bias in the measurements that can, hopefully, be remedied during the expedition, but also for possible post-cruise adjustment of data to be consistent with previous measurements in the region.", + "id": "gpmceiliphx_1", + "title": "GPM GROUND VALIDATION VAISALA CEILOMETER IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-06", + "end_date": "2014-06-16", + "bbox": "-83.18, 35.48, -83.04, 35.56", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129865-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979129865-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmceiliphx_1", + "description": "The GPM Ground Validation Vaisala Ceilometer IPHEx dataset consists of vertical profiles of attenuated backscatter and cloud base and boundary layer height data gathered during the Global Precipitation Mission (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region during an intense study period from May 1 through June 15, 2014. This dataset includes data from the Vaisala Ceilometer CL51 which is part of the NASA Goddard Space Flight Center (GSFC) Aerosol-Cloud-Humidity Interactions Exploring and Validating Enterprise (ACHIEVE) ground-based mobile laboratory. It measures vertical profiles of aerosol backscatter and performs a retrieval of cloud base detection and boundary layer structure. The data files are available from May 6 through June 16, 2014 in netCDF-3 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0210577_Not Applicable", - "title": "Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from 2014-07-15 to 2018-11-11 (NCEI Accession 0210577)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-07-15", - "end_date": "2018-11-11", - "bbox": "-162, 11, -50, 43", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380393-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380393-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0210577_Not%20Applicable", - "description": "Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from the World Ocean. ALAMO profiling floats measure temperature, salinity, and pressure and were developed to be air deployed in previously difficult locations, including tropical cyclones and around sea ice. Data files in NetCDF.", + "id": "gpmchillmc3e_1", + "title": "GPM GROUND VALIDATION CHILL RADAR MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-05-24", + "end_date": "2011-05-24", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979130465-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979130465-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmchillmc3e_1", + "description": "The GPM Ground Validation CHILL Radar MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which was held in Oklahoma were collected while the NASA ER-2 aircraft conducted a series of four legs along the 090 and 120 degree CHILL azimuths on May 24, 2011. Dual linear polarization variables as well as Doppler velocity, radial velocity, and normalized coherent power are contained in this dataset. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER-2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CSU-CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CSU-CHILL. The single polarization CSU-Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. The Pawnee radar data are available as a seperate dataset.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0210808_Not Applicable", - "title": "Assessment of coral reef fish and benthic communities in the West Hawaii Habitat Focus Area from 2015-10-13 to 2015-10-23 (NCEI Accession 0210808)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-10-13", - "end_date": "2015-10-23", - "bbox": "-156.048008, 19.568405, -155.828939, 20.059629", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380539-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380539-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0210808_Not%20Applicable", - "description": "This archive package contains data on species composition, density, size, and abundance for coral reef fish as well as coral counts, benthic cover, and macroalga cover in the West Hawaii Habitat Focus Area along the Kona coast of the island of Hawaii. Data provided in this collection were gathered as part of the NOAA Habitat Blueprint initiative with support from the Coral Reef Conservation Program. Data were collected primarily by The Nature Conservancy Hawaii. Data were collected in 2015 using the Belt Transect method. This is the first year in a series of monitoring efforts which have taken place in subsequent years to evaluate the resilience of coral reefs in the Focus Area. This dataset serves as a baseline as it was collected during the 2015 coral bleaching event. The dataset accompanies the NOAA technical report Maynard et al. 2016.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0213517_Not Applicable", - "title": "Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution for 2019-09-18 (NCEI Accession 0213517)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2019-09-18", - "end_date": "2019-09-18", - "bbox": "26.375, 38.75, 42.375, 48.8125", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376602-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376602-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A0213517_Not%20Applicable", - "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.", + "id": "gpmcilpvex_1", + "title": "GPM GROUND VALIDATION CLOUD SPECTROMETER AND IMPACTOR (CIP) LPVEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-06", + "end_date": "2010-10-20", + "bbox": "25.04, 60.06, 25.37, 61.36", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979130601-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979130601-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcilpvex_1", + "description": "The GPM Ground Validation Cloud Spectrometer and Impactor (CIP) LPVEx dataset provides particle size spectra for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment. Data was collected by the Cloud spectrometer and impactor (CIP) and 2D-S (2-dimensional stereo probe) aboard the University of Wyoming King Air flown in Finland during the Light Precipitation Validation Experiment (LPVEx) from August to October 2010. Lat, lon, altitude, pressure, and temperature are provided with the total concentration of particles with diameter greater than 100 microns.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0218215_Not Applicable", - "title": "Circulation, temperature, and water surface elevation from Finite Volume Community Ocean Model (FVCOM) simulations of Lake Superior, Great Lakes region from 2010-01-01 to 2012-12-31 to study the 2010 coastal upwelling event (NCEI Accession 0218215)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-01-01", - "end_date": "2012-12-31", - "bbox": "-92.08, 46.44, -84.38, 48.79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376983-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089376983-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A0218215_Not%20Applicable", - "description": "This dataset contains a three-dimensional (3-D), coupled ice-ocean Finite Volume Community Ocean Model (FVCOM) hydrodynamic simulations of circulation, temperature, and water surface elevation of Lake Superior for the years 2010-2012. The model was validated with temperature observations at National Oceanic and Atmospheric Administration (NOAA) buoys and mooring data from 2010. The upwelling event observed in satellite imagery and at a mooring station was reproduced by the model, in August 2010 along the northwestern coast. FVCOM version 3.1.6 was used for these simulations including custom modifications for wind-wave mixing (Hu and Wang, 2010) and centered-difference time integration. Ice simulations used the unstructured-grid, community ice code (UG-CICE) that was included with FVCOM version 3.1.6 (Chen et al. 2011; Gao et al. 2011). North American Regional Reanalysis (NARR) 32 km data (Mesinger et al. 2006) was used as atmospheric boundary conditions which included heat flux components (i.e., \"heating_on=T\" in the namelist). To convert the NARR forcings to the FVCOM unstructured grid, the interpolation scheme built in to FVCOM (WRF2FVCOM) was used. Details for these simulations can be found in the namelist file \"narr_0913_run.nml\" included in this data archive.", + "id": "gpmcitvidiphx_1", + "title": "GPM GROUND VALIDATION CITATION VIDEOS IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-06-06", + "end_date": "2014-06-08", + "bbox": "-83.1, 35.23, -78, 46.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979130750-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979130750-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcitvidiphx_1", + "description": "The GPM Ground Validation Citation Videos IPHEx dataset was collected during the Global Precipitation Measurement (GPM) mission Integrated Precipitation and Hydrology Experiment (IPHEx) in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. These videos show flights on June 6, 2014 and June 8, 2014. The dataset contains MP4 digital video files and videos have been sped up 12.5 times the original speed and are broken into smaller files of about 3.5 minutes each (covering 45 minutes of actual flight time).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0220639_Not Applicable", - "title": "Barium isotopes collected from world-wide oceans from 1970 to 2006 and analyzed at WHOI (NCEI Accession 0220639)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1970-01-01", - "end_date": "2006-01-01", - "bbox": "-178.073, -76.449, 174.4, 48", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377693-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377693-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0220639_Not%20Applicable", - "description": "Barium isotope data from marine barites deposited throughout the world wide oceans. Samples include cold seep, hydrothermal and pelagic barites. Samples were collected from 1970 to 2006, and analyses were conducted in the NIRVANA lab at WHOI between 2016 and 2019. Data are in spreadsheet format.", + "id": "gpmcmgcpex2_2", + "title": "GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS GCPEX V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-19", + "end_date": "2012-02-24", + "bbox": "-80.3847, 43.4595, -78.7659, 46.3615", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979131261-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979131261-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmcmgcpex2_2", + "description": "The GPM Ground Validation UND Citation Cloud Microphysics GCPEx dataset includes instrument measurements of cloud microphysics, state of atmosphere parameters. bulk aerosols, three-dimensional winds, and turbulence. These measurements were taken by the University of North Dakota's (UND) Cessna Citation aircraft, an in situ platform used during the GCPEx campaign. The GPM Ground Validation UND Citation Cloud Microphysics GCPEx data are stored as a separate file for each flight, including both a primary file containing direct and derived parameters, and raw data for each cloud instrument aboard the Citation. This dataset contains measurements collected across 12 data missions from January 19, 2012 through February 24, 2012. Navigation files for this dataset were updated July 2015.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0221188_Not Applicable", - "title": "3-dimensional current velocity and other parameters taken by ADCP from the offshore supply ship Gerry Bordelon in Gulf of Mexico on 2017-09-24 (NCEI Accession 0221188)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2017-09-24", - "end_date": "2017-09-24", - "bbox": "-88.974, 28.932, -88.965, 28.944", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377874-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089377874-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0221188_Not%20Applicable", - "description": "The data consist of four ADCP surveys in the Mississippi Canyon Block 20 region of the Gulf of Mexico. ADCP2_D20170924_SW and ADCP3_D20170924_SW were run to the southwest of ADCP2_D20170929_NE and ADCP3_D20170929_NE. ADCP2 surveys were run from 01:20 to 01:36 UTC on September, 24 2017. ADCP3 surveys were run from 04:84 - 09:21 UTC on September, 24 2017. Sea state was up during ADCP3 surveys. Data are in NetCDF.", + "id": "gpmcmiphx_1", + "title": "GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-03-06", + "end_date": "2014-06-13", + "bbox": "-83.1, 35.23, -82.06, 35.59", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979131539-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979131539-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmcmiphx_1", + "description": "The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the IPHEx campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The data are stored as a separate file for each flight, with a primary (*.iphex_ file containing both direct and derived parameters. Raw data files for each cloud instrument are also archived for investigators who wish to use their own processing software. Citation flight navigation data is also included in this dataset.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0225446_Not Applicable", - "title": "Assessment of coral reef benthic communities and reef fish survey data from locations in the Commonwealth of Northern Marianas Islands from 2014-10-01 to 2018-09-30 (NCEI Accession 0225446)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2014-10-01", - "end_date": "2018-09-30", - "bbox": "145.131154, 14.1136578, 145.8147431, 16.7162927", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379287-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379287-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0225446_Not%20Applicable", - "description": "Overview Currently, the LTMMP has 52 long-term monitoring sites across Saipan, Tinian, and Rota that are surveyed on a rotating biennial basis. Three main habitat types are covered: Fore reef, reef flat (lagoon), and seagrass beds (lagoon). Most sites have been selected based on their association with management concerns (runoff, sewage outfalls, urban development, etc.) and/or management actions (watershed restorations efforts, marine protected areas, etc.) and include impacted sites and relatively non-impacted reference sites. In general, monitoring surveys are conducted using standard and proven ecological field survey methods. All surveys are conducted along 3-5, 50 m transect lines laid out along the depth contour (~9m depth) on the fore reef, or along consistent habitat in the lagoon (back reef and seagrass). While benthic cover analysis provides the foundation of the CNMI monitoring program, the current protocol uses several survey types per site to provide ecological depth beyond percent cover. Fore Reef Photos are taken every meter along each transect line using a 0.25m2 quadrat frame, for a total of 250 photos at each site. In the office, the computer program CPCe is used to place five random points on each photo and the biota or substrate type under each point is identified. Organisms are identified to the genus level. This analysis provides benthic percent cover and community diversity. Twelve, 3 minute, 5 m radius stationary point counts (SPC) are conducted at each site to evaluate fish assemblages. Each SPC is systematically positioned throughout the length of a site (250 m). The species and size (fork length) of all food fishes within the 5 meter radius are recorded. This provides relative diversity, abundances, species compositions, size class distribution, and biomass of the fish community. Sixteen 0.25m2 quadrats are haphazardly tossed along the length of the site and every coral colony within the quadrats is identified to the species level and measured. This method provides relative diversity, abundances, species composition, and size class of the coral community. Within these same quadrats, all algae species present are identified to the species level to provide a measure of algae community composition and species richness. Finally, non-coral macro-invertebrates including sea cucumbers, urchins, crown-of-thorns starfish, giant clams, among others, are identified and counted within 1 m of each side of the transect lines (i.e. 5, 2mx50m belt transects). This provides invertebrate abundances, species composition, and diversity. Saipan Lagoon Saipan Lagoon habitats that are monitored include Halodule uninervis beds, staghorn Acropora thickets, and mixed coral back reefs. At lagoon sites, benthic cover is quantified using a 0.25 m2 string quadrat with six intersections, placed every meter along the transect line. The biota or substrate under each intersection is recorded to the genus level, in situ. Additionally, 10, 1 m2 quads are haphazardly placed across the length of the site (250 m) and all seagrass, algae, coral, and macro-invertebrates are identified to the species level and recorded. This method captures the relative diversity, abundance, and species compositions of lagoon communities. Finally, non-coral macro-invertebrate abundances and diversity are quantified as described above for reef slope sites.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0225545_Not Applicable", - "title": "Bulk density and pore water, sediment texture and composition data from sediment cores collected aboard R/V Weatherbird II cruises WB-0812 and WB-0813 in the northern Gulf of Mexico from 2012-08-14 to 2013-08-21 (NCEI Accession 0225545)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2012-08-14", - "end_date": "2013-08-21", - "bbox": "-88.86673, 28.97363, -86.33833, 29.73833", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379450-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379450-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYnVjayBpc2xhbmQgbmF0aW9uYWwgbW9udW1lbnQgYWNjdXJhY3kgYXNzZXNzbWVudCBwb2ludCBkYXRhIGZvciBiZW50aGljIGhhYml0YXRzIG9mIHB1ZXJ0byByaWNvIGFuZCB0aGUgdS5zLiB2aXJnaW4gaXNsYW5kc1wiLFwiTk9BQV9OQ0VJXCIsXCIzOTI2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMTAyNjU2NDEyLDFdIiwidW1tIjoiW1wiYnVjayBpc2xhbmQgbmF0aW9uYWwgbW9udW1lbnQgYWNjdXJhY3kgYXNzZXNzbWVudCBwb2ludCBkYXRhIGZvciBiZW50aGljIGhhYml0YXRzIG9mIHB1ZXJ0byByaWNvIGFuZCB0aGUgdS5zLiB2aXJnaW4gaXNsYW5kc1wiLFwiTk9BQV9OQ0VJXCIsXCIzOTI2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMTAyNjU2NDEyLDFdIn0%3D/gov.noaa.nodc%3A0225545_Not%20Applicable", - "description": "This dataset contains the bulk density and pore water, sediment texture and composition data from sediment cores collected aboard R/V Weatherbird II cruises WB-0812 and WB-0813 in the northern Gulf of Mexico (nGoM) from 2012-08-14 to 2013-08-21. These data were generated for selected core sub-samples at 2mm sampling intervals for \u00e2\u0080\u009csurficial unit\u00e2\u0080\u009d and 5mm sampling resolution intervals to the base of cores. For the bulk density and pore water data, sediment cores were collected on board the R/V Weatherbird II cruise WB-0812 in the nGoM from 2012-08-14 to 2012-08-16. It reports measurement of sediment sample wet weight (g), dry weight (g) and percent pore water. Bulk density is the dry weight per sampling volume expressed as g/cm3. Whereas, sediment texture and composition data were collected aboard R/V Weatherbird II cruise WB-0813 in the nGoM from 2013-08-20 to 2013-08-21. Sediment texture values were expressed as percent gravel, sand, silt, and clay. Percent of mud can be calculated by combining percent silt and clay. Sediment composition was expressed as percent total organic matter (TOM) measured by loss on ignition (LOI), percent carbonate content measured by acid leaching, and the percent insoluble residue (IR), which was likely dominated by terrigenous clastic (land-derived) sediment sources.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0225979_Not Applicable", - "title": "Biological, chemical, physical and time series data collected from station WQBAW by University of Hawai'i at Hilo and University of Hawai'i at M\u00c4\u0081noa and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2008-06-06 to 2016-12-06 (NCEI Accession 0225979)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2008-06-06", - "end_date": "2016-12-06", - "bbox": "-157.848, 21.2799, -157.848, 21.2799", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379551-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089379551-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0225979_Not%20Applicable", - "description": "NCEI Accession 0225979 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo and University of Hawai'i at M\u00c4\u0081noa collected the data from their in-situ moored station named WQBAW: PacIOOS Water Quality Buoy AW (WQB-AW): Ala Wai, Oahu, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and University of Hawai'i at M\u00c4\u0081noa and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-AW is located at the exit of the Ala Wai Canal, near Magic Island. Continuous sampling of this outflow area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0226059_Not Applicable", - "title": "Biological, chemical, physical and time series data collected from station WQBKN by University of Hawai'i at Hilo and University of Hawai'i at M\u00c3\u0084\u00c2\u0081noa and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2008-08-07 to 2017-01-04 (NCEI Accession 0226059)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2008-08-07", - "end_date": "2017-01-04", - "bbox": "-157.865, 21.2887, -157.865, 21.2887", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380013-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380013-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0226059_Not%20Applicable", - "description": "NCEI Accession 0226059 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo and University of Hawai'i at M\u00c3\u0084\u00c2\u0081noa collected the data from their in-situ moored station named WQBKN: PacIOOS Water Quality Buoy KN (WQB-KN): Kilo Nalu, Oahu, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and University of Hawai'i at M\u00c3\u0084\u00c2\u0081noa and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-KN is located at the Kilo Nalu Nearshore Reef Observatory, near Kakaako Waterfront Park and Kewalo Basin off of Ala Moana Boulevard in Honolulu. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0226205_Not Applicable", - "title": "ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30 (NCEI Accession 0226205)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2020-03-28", - "end_date": "2020-03-30", - "bbox": "-88.576242, 27.591893, -82.438911, 30.342877", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380082-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380082-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0226205_Not%20Applicable", - "description": "This dataset includes ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0231662_Not Applicable", - "title": "ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15 (NCEI Accession 0231662)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2019-07-15", - "end_date": "2019-07-15", - "bbox": "-124.355093, 44.282964, -124.054485, 44.625023", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380691-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380691-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWNvdXN0aWMgdHJhY2tpbmcgb2YgZmlzaCBtb3ZlbWVudHMgaW4gY29yYWwgcmVlZiBlY29zeXN0ZW1zIGluIHN0IGpvaG4gKHVzdmkpLCAyMDA2LTIwMTBcIixcIk5PQUFfTkNFSVwiLFwiMzk1NzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwMjY1NjY2NywxXSIsInVtbSI6IltcImFjb3VzdGljIHRyYWNraW5nIG9mIGZpc2ggbW92ZW1lbnRzIGluIGNvcmFsIHJlZWYgZWNvc3lzdGVtcyBpbiBzdCBqb2huICh1c3ZpKSwgMjAwNi0yMDEwXCIsXCJOT0FBX05DRUlcIixcIjM5NTc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDI2NTY2NjcsMV0ifQ%3D%3D/gov.noaa.nodc%3A0231662_Not%20Applicable", - "description": "This dataset includes ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI.", + "id": "gpmcmmc3e_1", + "title": "GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-02", + "bbox": "-99.1654, 34.3247, -95.2302, 40.944", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979132182-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979132182-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmcmmc3e_1", + "description": "The GPM Ground Validation UND Citation Cloud Microphysics MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the MC3E campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The Citation flew 15 data missions, which totaled 42.6 flight hours. The data are stored as a separate file for each flight. Raw data files for each cloud instrument are also archived to allow investigators to use their own processing software. Particle size spectra for the imaging probes were processed by NCAR and are archived and distributed as a separate dataset (Particle probes).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0232256_Not Applicable", - "title": "American Samoa Territorial Monitoring Program: Assessment of coral reef benthic and fish communities in American Samoa from 2005-03-10 to 2017-04-21 (NCEI Accession 0232256)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2005-03-10", - "end_date": "2017-04-21", - "bbox": "-170.563628, -14.364332, -170.812132, -14.252747", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380473-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380473-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A0232256_Not%20Applicable", - "description": "The data described here result from coral reef assessments of reef slopes (10m depth) at permanent sites around Tutuila, American Samoa as part of the ongoing American Samoa Coral Reef Monitoring Program (ASCRMP). These surveys were conducted by members of the American Samoa Coral Reef Advisory Group between 2005 and 2017. The data was collected via SCUBA surveys and reports on coral, benthic and fish composition and derived metrics (e.g., benthic cover, coral diversity, fish diversity, fish biomass).", + "id": "gpmcmolyx_1", + "title": "GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-12", + "end_date": "2015-12-19", + "bbox": "-126.129, 46.2209, -97.1811, 48.3535", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979132803-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979132803-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmcmolyx_1", + "description": "The GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX dataset includes measurements of cloud microphysics, state of the atmosphere parameters, three-dimensional winds, and turbulence. These measurements were taken during the OLYMPEX campaign by the University of North Dakota\u2019s (UND) Cessna Citation II aircraft over a series of 20 flights totaling roughly 60 flight hours. The UND Citation Cloud Microphysics data are stored as separate files for each flight, with a primary (*.olympex) file containing both direct and derived parameters. Raw data files for each instrument are also archived for investigators who wish to use their own processing software. Data are available from flights that occurred from November 12, 2015 through December 19, 2015 in ASCII, ASCII-csv, and binary formats, while browse images are available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0234331_Not Applicable", - "title": "Benthic foraminiferal assemblages, stable isotopes, and short-lived radioisotope measurements from sediment cores collected during the multiple cruises in the northwestern margin of Cuba and Gulf of Mexico from 2010-06-13 to 2017-07-19. (NCEI Accession 0234331)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2010-06-13", - "end_date": "2017-07-19", - "bbox": "-97.566, 18.631433, -82.339283, 29.701667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380844-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089380844-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0234331_Not%20Applicable", - "description": "This dataset contains a compilation of seafloor surface benthic foraminifera assemblages, baseline stable carbon and oxygen isotope measurements from benthic foraminifera, and short-lived radioisotope measurements from sediment cores collected on multiple cruises and field sampling throughout the Gulf of Mexico and the northwestern margin of Cuba from 2010-06-13 to 2017-07-19. Stable isotope measurements were performed on Cibicidoides spp. The dataset includes the sediment core information such as location, date, and depth; benthic foraminiferal stable carbon and oxygen isotopes; and the total density and diversity calculations using Fisher\u00e2\u0080\u0099s Alpha and Shannon indices from the surface-most sub-sample from each core (typically 0-2 mm). For short-lived radioisotope measurements, samples were analyzed by gamma spectrometry with High-Purity Germanium (HPGe) gamma-ray detectors (Canberra Coaxial Planar configuration) for total 210Pb (46.5 keV), 214Pb (295 keV and 351 keV), and 214Bi (609 keV) activities. The mean activity of the 214Pb (295 keV), 214Pb (351 keV), and 214Bi (609 keV) was used as a proxy for 226Ra activity and therefore the supported 210Pb that is produced in situ. The reported excess 210Pb (210Pbxs) is the difference of the total 210Pb and the supported 210Pb.", + "id": "gpmcmorphnifld_1", + "title": "GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-01", + "end_date": "2013-06-30", + "bbox": "-180, -60, 180, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980101480-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980101480-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmcmorphnifld_1", + "description": "The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IFloodS dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC). The Iowa Flood Studies (IFloodS) campaign was a ground measurement campaign that took place in eastern Iowa from May 1 to June 15, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. Data has been selected for the Iowa Flood Studies (IFloodS) field campaign which took place from April 1, 2013 to June 30, 2013. The dataset includes both the near real-time raw data and bias corrected data from NOAA in binary and netCDF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:0237816_Not Applicable", - "title": "Assessing cryptic reef diversity of colonizing marine invertebrates using Autonomous Reef Monitoring Structures (ARMS) deployed at coral reef sites in Kimbe Bay, Papua New Guinea from 2009-09-01 to 2012-09-12 (NCEI Accession 0237816)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2009-09-01", - "end_date": "2012-09-12", - "bbox": "150.126428, -5.308874, 150.131315, -5.28353", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381360-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381360-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXJjaGl2YWwgYW5kIGRpc2NvdmVyeSBvZiBtYXJjaCAyLCAxOTMzIHRzdW5hbWkgZXZlbnQgb24gbWFyaWdyYW1zXCIsXCJOT0FBX05DRUlcIixcImRvaToxMC43Mjg5L1Y1VE03OEQzXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDU4NjU2NzEsMV0iLCJ1bW0iOiJbXCJhcmNoaXZhbCBhbmQgZGlzY292ZXJ5IG9mIG1hcmNoIDIsIDE5MzMgdHN1bmFtaSBldmVudCBvbiBtYXJpZ3JhbXNcIixcIk5PQUFfTkNFSVwiLFwiZG9pOjEwLjcyODkvVjVUTTc4RDNcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNTg2NTY3MSwxXSJ9/gov.noaa.nodc%3A0237816_Not%20Applicable", - "description": "Autonomous Reef Monitoring Structures (ARMS) are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time. The data described here were collected by CREP from ARMS units moored at fixed climate survey sites located in Kimbe Bay, Papua New Guinea. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from September 2009 to September 2012, and three ARMS units were deployed by SCUBA divers at each survey site. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 \u00c2\u00b5m, and 100 \u00c2\u00b5m. The 500 \u00c2\u00b5m and 100 \u00c2\u00b5m fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies. This dataset includes information on the species counted and identified in the 2 mm fraction.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0238156_Not Applicable", - "title": "Benthic and pelagic invertebrate stable carbon and nitrogen isotope data, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the Norseman II, from 2015-08-12 to 2015-09-03 (NCEI Accession 0238156)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2015-08-12", - "end_date": "2015-09-03", - "bbox": "-168.9543, 67.783, -159.6922, 72.494", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381446-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381446-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0238156_Not%20Applicable", - "description": "This dataset contains benthic and pelagic invertebrate stable carbon and nitrogen isotope data collected in the Chukchi Sea, U.S. Arctic during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains a comma separated values (csv) files exported from Microsoft Excel. These data were generated from samples collected with trawls, grabs, and plankton nets during the research cruise. The data in the file named AMBON2015_Stable Isotopes_Database_final.csv describe the carbon and nitrogen stable isotope values of invertebrate samples with and without various chemical treatments to eliminate carbonates and lipids. Full location and taxonomic information is given for each sample.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:0239040_Not Applicable", - "title": "Benthic and pelagic invertebrate stable carbon and nitrogen isotope data, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the Norseman II, from 2017-08-06 to 2017-08-21 (NCEI Accession 0239040)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "2017-08-06", - "end_date": "2017-08-21", - "bbox": "-168.9543, 67.668, -159.6922, 72.496", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382463-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382463-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A0239040_Not%20Applicable", - "description": "This dataset contains benthic and pelagic invertebrate stable carbon and nitrogen isotope data collected in the Chukchi Sea, U.S. Arctic during the 6 August 2017 - 21 August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains a comma separated values (csv) files exported from Microsoft Excel. These data were generated from samples collected with trawls, grabs, and plankton nets during the research cruise. The data in the file named AMBON2017_Stable Isotopes_Database_final.csv describe the carbon and nitrogen stable isotope values of invertebrate samples with and without various chemical treatments to eliminate carbonates and lipids. Full location and taxonomic information is given for each sample.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:6800230_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GREEN SEAS, PIERCE and other platforms from 1960-05-01 to 1967-03-01 (NCEI Accession 6800230)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1960-05-01", - "end_date": "1967-03-01", - "bbox": "-86.1, -7, 5, 28.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381262-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381262-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A6800230_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:6900225_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GOA from 1968-09-19 to 1968-11-17 (NCEI Accession 6900225)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-09-19", - "end_date": "1968-11-17", - "bbox": "9, -17, 13.5, -4.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382177-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382177-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGdpbGxpc3MgYW5kIGNvbHVtYnVzIGlzZWxpbiBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAxOTczLTAyLTAyIHRvIDE5NzMtMDMtMTEgKG5jZWkgYWNjZXNzaW9uIDc0MDA0NjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6NzQwMDQ2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzgyNjA4LDFdIiwidW1tIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGdpbGxpc3MgYW5kIGNvbHVtYnVzIGlzZWxpbiBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAxOTczLTAyLTAyIHRvIDE5NzMtMDMtMTEgKG5jZWkgYWNjZXNzaW9uIDc0MDA0NjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6NzQwMDQ2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzgyNjA4LDFdIn0%3D/gov.noaa.nodc%3A6900225_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:6901098_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from PANULIRUS and PANULIRUS II from 1966-10-18 to 1969-11-06 (NCEI Accession 6901098)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1966-10-18", - "end_date": "1969-11-06", - "bbox": "-64.5, 32.1, -64.5, 32.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381131-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381131-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A6901098_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7000052_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Prince William Sound (Gulf of Alaska) from 1986-12-15 to 1986-12-18 (NCEI Accession 7000052)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-12-15", - "end_date": "1986-12-18", - "bbox": "-150, 59, -149, 60.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381217-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381217-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7000052_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7000422_Not Applicable", - "title": "AIR PRESSURE and Other Data from GOSNOLD From NW Atlantic (limit-40 W) from 1969-10-28 to 1969-10-29 (NCEI Accession 7000422)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-10-28", - "end_date": "1969-10-29", - "bbox": "-72, 39, -71, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383028-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383028-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7000422_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7000981_Not Applicable", - "title": "A summary of seawater chemistry analysis of stations in North Atlantic Ocean from 1970-06-20 to 1970-07-03 (NCEI Accession 7000981)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1970-06-01", - "end_date": "1970-07-01", - "bbox": "-29.33, 50.01, -14.2, 55.56", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381614-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381614-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7000981_Not%20Applicable", - "description": "Seawater chemistry data were collected using bottle from the USNS KANE in the North Atlantic Ocean. Data were collected from 20 July 1970 to 03 July 1970. The seawater chemistry data includes reactive phosphate, reactive silicate, and nitrate.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7001081_Not Applicable", - "title": "Characteristics of Sediments in the James River Estuary, Virginia, 1968 (NCEI Accession 7001081)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1966-04-01", - "end_date": "1967-08-30", - "bbox": "-77, 36.7, -76.15, 37.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382141-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382141-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2V0YWNlYW4gbGluZS10cmFuc2VjdCBzdXJ2ZXkgY29uZHVjdGVkIGluIHRoZSBlYXN0ZXJuIGJlcmluZyBzZWEgc2hlbGYgYnkgYWxhc2thIGZpc2hlcmllcyBzY2llbmNlIGNlbnRlciwgbmF0aW9uYWwgbWFyaW5lIG1hbW1hbCBsYWJvcmF0b3J5IGZyb20gbm9hYSBzaGlwIG1pbGxlciBmcmVlbWFuIGZyb20gMTk5OS0wNy0wNyB0byAyMDA0LTA2LTMwIChuY2VpIGFjY2Vzc2lvbiAwMTMxODYyKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAxMzE4NjJcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3ODgyMiwxXSIsInVtbSI6IltcImNldGFjZWFuIGxpbmUtdHJhbnNlY3Qgc3VydmV5IGNvbmR1Y3RlZCBpbiB0aGUgZWFzdGVybiBiZXJpbmcgc2VhIHNoZWxmIGJ5IGFsYXNrYSBmaXNoZXJpZXMgc2NpZW5jZSBjZW50ZXIsIG5hdGlvbmFsIG1hcmluZSBtYW1tYWwgbGFib3JhdG9yeSBmcm9tIG5vYWEgc2hpcCBtaWxsZXIgZnJlZW1hbiBmcm9tIDE5OTktMDctMDcgdG8gMjAwNC0wNi0zMCAobmNlaSBhY2Nlc3Npb24gMDEzMTg2MilcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMTMxODYyXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzg4MjIsMV0ifQ%3D%3D/gov.noaa.nodc%3A7001081_Not%20Applicable", - "description": "This report presents data on the physical and chemical characteristics of bottom sediments in the James River estuary, Virgina. The data were generated as part of a comprehensive study of sedimentation in which the initial objective was to broadly define the distribution of sediment properties.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7100000_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, JAMES COOK and other platforms from 1964-08-24 to 1971-11-17 (NCEI Accession 7100000)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1964-08-24", - "end_date": "1971-11-17", - "bbox": "-155.5, -66.7, 175.2, 50.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383124-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383124-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7100000_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7100048_Not Applicable", - "title": "AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms From NE Pacific (limit-180) from 1969-08-01 to 1969-08-31 (NCEI Accession 7100048)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-08-01", - "end_date": "1969-08-31", - "bbox": "-85, 7, -75, 12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383261-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383261-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A7100048_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7100165_Not Applicable", - "title": "Chemical, physical, and other data collected using bottle casts from the North Pacific Ocean as a part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1951-01-06 to 1960-10-31 (NCEI Accession 7100165)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1951-01-06", - "end_date": "1960-10-31", - "bbox": "-140, 20, -120, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383936-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383936-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7100165_Not%20Applicable", - "description": "Chemical, physical, and other data were collected using bottle casts in the North Pacific Ocean from January 6, 1951 to October 31, 1960. Data were submitted by Scripps Institution of Oceanography as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", + "id": "gpmcmorphniphx_1", + "title": "GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IPHEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-14", + "bbox": "-179.964, -59.9636, 179.964, 59.9636", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979134074-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979134074-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmcmorphniphx_1", + "description": "The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IPHEx dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC) during the Global Precipitation Mission (GPM) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. CMORPH data has been selected from May 1, 2014 through June 14, 2014, during the IPHEx field campaign. These data files are available in raw binary and netCDF-4 file format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7100603_Not Applicable", - "title": "Chemical, physical, and other data collected using bottle, BT, current meter, MBT, meteorological sensors, and secchi disk casts in the North Pacific Ocean as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1968-01-01 to 1968-12-04 (NCEI Accession 7100603)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-01-01", - "end_date": "1968-12-04", - "bbox": "-122.9, 36.6, -121.9, 37", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381029-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381029-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7100603_Not%20Applicable", - "description": "Chemical, physical, and other data were collected using bottle, BT, current meter, MBT, meteorological sensors, and secchi disk casts from January 1, 1968 to December 4, 1968. Data were submitted by Stanford University; Hopkins Marine Station as part of the California Cooperative Fisheries Investigation (CALCOFI) project. Data were processed by NODC to the NODC standard F004 water physics and chemistry format. Full F004 Format descriptions are available from the NODC homepage at www.nodc.noaa.gov/. The F004 format contains data from measurements and analysis of physical and chemical characteristics of the water column. Chemical parameters that may be recorded are salinity, pH and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity and current velocity (east-west and north-south components). Cruise and station information may include environmental conditions of the study site at the time of observation. Data are very sparse prior to 1951.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7200096_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from EASTWARD from 1968-02-23 to 1971-11-16 (NCEI Accession 7200096)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-02-23", - "end_date": "1971-11-16", - "bbox": "-86.4, 11, -61.1, 37.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383889-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383889-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7200096_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7200319_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from BELLOWS from 1972-02-02 to 1972-02-10 (NCEI Accession 7200319)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-02-02", - "end_date": "1972-02-10", - "bbox": "-85.4, 27.2, -82.8, 29.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384562-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384562-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7200319_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7200320_Not Applicable", - "title": "AIR PRESSURE and Other Data from UNKNOWN PLATFORMS and Other Platforms from 1955-03-01 to 1970-08-13 (NCEI Accession 7200320)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1955-03-01", - "end_date": "1970-08-13", - "bbox": "-71.9, 29.4, 8.8, 65.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384570-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384570-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7200320_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7200698_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from EASTWARD from 1971-12-31 to 1972-05-06 (NCEI Accession 7200698)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-12-31", - "end_date": "1972-05-06", - "bbox": "-81.3, 17, -66.5, 37.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381211-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381211-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7200698_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7201127_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from EASTWARD from 1972-06-25 to 1972-06-27 (NCEI Accession 7201127)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-06-25", - "end_date": "1972-06-27", - "bbox": "-76.7, 34, -75.8, 34.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381653-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381653-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7201127_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7201380_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from EASTWARD from 1971-07-19 to 1972-11-04 (NCEI Accession 7201380)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-07-19", - "end_date": "1972-11-04", - "bbox": "-80.7, 30.4, -72.7, 38.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382013-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382013-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7201380_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7201418_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from PANULIRUS and PANULIRUS II from 1970-01-06 to 1972-11-03 (NCEI Accession 7201418)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1970-01-06", - "end_date": "1972-11-03", - "bbox": "-64.9, 31.5, -64.5, 32.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382040-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382040-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7201418_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7300167_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALEJANDRO DE HUMBOLDT and NOAA Ship DAVID STARR JORDAN in the Gulf of California from 1971-04-27 to 1971-05-09 (NCEI Accession 7300167)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-04-27", - "end_date": "1971-05-09", - "bbox": "-115.9, 22.8, -108, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382675-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382675-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7300167_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7300282_Not Applicable", - "title": "AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms from 1968-07-01 to 1970-12-31 (NCEI Accession 7300282)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-07-01", - "end_date": "1970-12-31", - "bbox": "113.9, -46.6, 179.8, -0.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383549-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383549-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7300282_Not%20Applicable", - "description": "Not provided", + "id": "gpmcosmirgcpex_1", + "title": "GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-19", + "end_date": "2012-02-24", + "bbox": "-80.916, 42.609, -67.597, 47.016", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138096-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138096-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcosmirgcpex_1", + "description": "The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (COSMIR) GCPEx dataset used the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR), which was utilized for the GPM Cold-season Precipitation Experiment (GCPEx) as an airborne high-frequency simulator of the GPM Microwave Imager (GMI), which was launched in 2014. The CoSMIR was modified with a new scan mode to acquire both conical and cross-track scan data simultaneously in a given flight satisfying the requirements of the Precipitation Measurement Mission (PMM) algorithm development team. The dataset provides well-calibrated radiometric data from 9 channels between 50-183 GHz with the accuracy on the order of +-1K. All channels besides the 89 and 165.5 GHz are horizontally polarized.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7301085_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from BELLOWS from 1973-08-10 to 1973-08-15 (NCEI Accession 7301085)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-08-10", - "end_date": "1973-08-15", - "bbox": "-89.6, 27, -83, 29.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381369-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381369-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7301085_Not%20Applicable", - "description": "Not provided", + "id": "gpmcosmiriphx_1", + "title": "GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-07", + "end_date": "2014-06-14", + "bbox": "-117.35, 30.182, -74.611, 36.85", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138337-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138337-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmcosmiriphx_1", + "description": "The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) IPHEx dataset consists of brightness temperatures from 9 channels as measured by the CoSMIR instrument onboard the NASA ER-2 aircraft during the Global Precipitation Mission (GPM) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31 \u00b11, 183.31\u00b13, and 183.31\u00b17 GHz. Data files are available from May 7, 2014 through June 14, 2014 in ASCII format, with browse images available in the postscript format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7301177_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GAUSS, METEOR and other platforms in the North Atlantic Ocean from 1959-11-18 to 1972-03-14 (NCEI Accession 7301177)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1959-11-18", - "end_date": "1972-03-14", - "bbox": "-85, 0, 35.9, 71.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381441-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381441-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7301177_Not%20Applicable", - "description": "Not provided", + "id": "gpmcosmirmc3e_1", + "title": "GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-25", + "end_date": "2011-05-29", + "bbox": "-105.269, 27.957, -91.542, 42.37", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138507-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138507-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmcosmirmc3e_1", + "description": "The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (COSMIR) MC3E dataset used the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR), which was utilized during the Midlatitude Continental Convective Clouds Experiment (MC3E) served as an airborne high-frequency simulator of the GPM Microwave Imager (GMI), which launched in 2014. The CoSMIR was modified with a new scan mode to acquire both conical and cross-track scan data simultaneously in a given flight satisfying the requirements of the Precipitation Measurement Mission (PMM) algorithm development team. The dataset provides well-calibrated radiometric data from 9 channels between 50-183 GHz with the accuracy on the order of +-1K. All channels besides the 89 and 165.5 GHz are horizontally polarized.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7400073_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, USCGC ROCKAWAY and other platforms from 1969-05-01 to 1969-07-29 (NCEI Accession 7400073)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-05-01", - "end_date": "1969-07-29", - "bbox": "-59.8, 7.4, -52.6, 17.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381593-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381593-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7400073_Not%20Applicable", - "description": "Not provided", + "id": "gpmcosmirolyx_1", + "title": "GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-05", + "end_date": "2015-12-19", + "bbox": "-129.622, 29.9313, -117.697, 49.7371", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138680-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979138680-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmcosmirolyx_1", + "description": "The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) OLYMPEX dataset consists of brightness temperatures from 9 channels as measured by CoSMIR when flown on the NASA DC-8 aircraft during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31+/-1, 183.31+/-3, and 183.31+/-7 GHz. Data files are available from November 5, 2015 thru December 19, 2015 in HDF-5 format, with browse imagery files in PNG format containing brightness temperature time series plots.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7400204_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from A. E. VERRILL From North American Coastline-North from 1965-09-01 to 1970-12-31 (NCEI Accession 7400204)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1965-09-01", - "end_date": "1970-12-31", - "bbox": "-74, 40, -70, 43", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381884-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381884-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7400204_Not%20Applicable", - "description": "Not provided", + "id": "gpmcplolyx_1", + "title": "GPM Ground Validation Cloud Physics LiDAR (CPL) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-09", + "end_date": "2015-12-15", + "bbox": "-130.045, 34.1575, -117.774, 49.6338", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979139803-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979139803-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcplolyx_1", + "description": "The GPM Ground Validation Cloud Physics Lidar (CPL) OLYMPEX dataset consists of extinction profiles, layer optical depth, layer lidar ratio, and aircraft parameter measurements measured by the CPL flown on the NASA ER-2 aircraft during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. The CPL instrument is a multi-wavelength backscatter lidar that provides multi-wavelength measurements of cirrus and aerosols with high temporal and spatial. Data files are available from November 9, 2015 through December 15, 2015 in HDF-5 format with layer information in ASCII text files. Browse imagery files in GIF format contain optical depth and flight path images.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7400205_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from UNKNOWN From North American Coastline-North for 1990-10-10 (NCEI Accession 7400205)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-10-10", - "end_date": "1990-10-10", - "bbox": "-74, 40, -70, 43", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381900-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381900-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7400205_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7400384_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from MULTIPLE SHIPS and Other Platforms From North Atlantic Ocean and Others from 1971-12-01 to 1973-04-01 (NCEI Accession 7400384)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-12-01", - "end_date": "1973-04-01", - "bbox": "-150, 20, -10, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382439-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382439-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7400384_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7400462_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GILLISS and COLUMBUS ISELIN in the Gulf of Mexico from 1973-02-02 to 1973-03-11 (NCEI Accession 7400462)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-02-02", - "end_date": "1973-03-11", - "bbox": "-85.5, 25.4, -81.8, 26.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382608-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382608-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7400462_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7400657_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER in the NW Pacific from 1973-09-07 to 1973-09-20 (NCEI Accession 7400657)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-09-07", - "end_date": "1973-09-20", - "bbox": "-130, 46.2, -124.2, 49", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382926-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089382926-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7400657_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7400752_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER in the North Pacific Ocean from 1972-07-24 to 1972-09-27 (NCEI Accession 7400752)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-07-24", - "end_date": "1972-09-27", - "bbox": "-131.1, 45.8, -124.1, 48.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383150-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383150-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7400752_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7500181_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER in the NW Atlantic from 1971-07-01 to 1971-09-19 (NCEI Accession 7500181)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-07-01", - "end_date": "1971-09-19", - "bbox": "-76, 11.7, -62.9, 20.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383542-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089383542-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7500181_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7500532_Not Applicable", - "title": "Chemical, physical, and other data from CTD casts from the YAQUINA as part of the International Decade of Ocean Exploration / Coastal Upwelling Ecosystems Analysis (IDOE/CUEA) from 1972-06-20 to 1973-08-24 (NCEI Accession 7500532)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-06-20", - "end_date": "1973-08-24", - "bbox": "-125.5, 44.480556, -123.966667, 45.744444", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381200-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381200-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7500532_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from CTD casts from the YAQUINA from 20 June 1972 to 24 August 1973. Data were collected by the University of Washington (UW) as part of the International Decade of Ocean Exploration / Coastal Upwelling Ecosystems Analysis (IDOE/CUEA) from 08 July 1977 to 29 July 1977. Data were processed by NODC to the NODC standard F022 High-Resolution CTD/STD Output Format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f022.html. The F022 format contains high-resolution data collected using CTD (conductivity-temperature-depth) and STD (salinity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity, and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t), and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7500625_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KOMET, UNKNOWN PLATFORMS and other platforms from 1972-05-14 to 1974-08-09 (NCEI Accession 7500625)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-05-14", - "end_date": "1974-08-09", - "bbox": "-3.7, 52, 25.5, 65.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381540-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089381540-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7500625_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7600645_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship ALBATROSS IV from 1975-07-22 to 1975-08-04 (NCEI Accession 7600645)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-07-22", - "end_date": "1975-08-04", - "bbox": "-73, 36.6, -70.9, 41.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384428-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384428-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7600645_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7600769_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GAUSS from 1960-05-30 to 1960-06-17 (NCEI Accession 7600769)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1960-05-30", - "end_date": "1960-06-17", - "bbox": "-12.8, 62.3, -8.1, 64.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384555-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384555-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7600769_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7601177_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MURRE II in the NE Pacific from 1975-06-20 to 1976-03-29 (NCEI Accession 7601177)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-06-20", - "end_date": "1976-03-29", - "bbox": "-135.7, 58, -134.2, 58.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384847-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384847-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7601177_Not%20Applicable", - "description": "Not provided", + "id": "gpmcrsiphx_1", + "title": "GPM GROUND VALIDATION CLOUD RADAR SYSTEM (CRS) IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-03", + "end_date": "2014-06-12", + "bbox": "-83.09, 34.5, -81, 46.7", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979140485-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979140485-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcrsiphx_1", + "description": "The GPM Ground Validation Cloud Radar System (CRS) IPHEx data were collected in support of the Global Precipitation Measurement (GPM) mission Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina, with an intense study period occurring from May 1, 2014 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The ER-2 aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments, including the CRS, onboard the aircraft acted as a proxy for GPM satellite instruments. The CRS provided high-resolution profiles of reflectivity and Doppler velocity in clouds at aircraft nadir along the flight track. The CRS data are available from May 3, 2014 through June 12, 2014 and files for this dataset are available in netCDF-3 format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7601212_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from KANA KEOKI From Gulf of Mexico from 1974-10-26 to 1974-12-21 (NCEI Accession 7601212)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-10-26", - "end_date": "1974-12-21", - "bbox": "-100, 17, -81, 31.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384895-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384895-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7601212_Not%20Applicable", - "description": "Not provided", + "id": "gpmcrsolyx_1", + "title": "GPM Ground Validation Cloud Radar System (CRS) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-10", + "end_date": "2015-12-10", + "bbox": "-129.328, 34.1576, -117.774, 49.634", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979140648-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979140648-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmcrsolyx_1", + "description": "The GPM Ground Validation Cloud Radar System (CRS) OLYMPEX dataset provides radar reflectivity and Doppler velocity data collected during the Olympic Mountain Experiment (OLYMPEX). This dataset is used to estimate cloud droplet distribution for the storms monitored during the field campaign. The CRS instrument is a 94GHz W-band Doppler radar with a 3mm wavelength. CRS can be deployed as both an airborne instrument onboard NASA\u2019s high-altitude science aircraft, the Earth Resource 2 (ER-2), as well as a ground based radar system. Only the airborne mode was used during OLYMPEX. In addition to reflectivity and Doppler velocity, the data files include aircraft flight information. The CRS was flown on 10 different days between November 10, 2015 and December 10, 2015. Each data file contains one hour of flight measurements during flight in UTC time. Files for this dataset are in netCDF-3 format and readily accessible without the need of specialized software.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7601237_Not Applicable", - "title": "Chemical and physical data from thermistor, fluorometer, and bottle casts in the Patuxent River from 1972-10-15 to 1972-10-19 (NCEI Accession 7601237)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-10-15", - "end_date": "1972-10-19", - "bbox": "-76.7, 38, -76.7, 42", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384911-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384911-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7601237_Not%20Applicable", - "description": "The Patuxent River estuary was investigated over a 25-hour tidal cycle from October 17-18, 1972, during the Patuxent River Cooperative Study (conducted by the University of Maryland). These data were collected as part of a joint investigation by the University of Maryland's Center for Environmental and Estuarine Studies (Chesapeake Biological Lab) and the Institute for Fluid Dynamics and Applied Mathematics (College Park, Maryland). The resulting chemical, physical, and biological data were assembled into a format that could be utilized by investigators, collectively titled the Patuxent River Data Bank. The Patuxent River Data Bank was submitted to NODC on a 9-track, 1600 BPI tape in EBCDIC and contains headers and one data file. Heat concentration (in kilocalories/liter) and instantaneous flux magnitude (in megacalories/square meter/second) were recorded over the tidal cycle. Other data associated with this study are filed under NODC Reference #'s L01574 and L01576; all data are in the Level-A directory under L01574.001. Data associated with marine chemistry include: Dissolved organic carbon (milligrams/liter), Particulate carbon (milligrams/liter), salts (grams/liter), Dissolved oxygen (milligrams/liter), and total particulates (milligrams/liter). Instantaneous flux magnitudes for carbon were measured in grams/liter; for salts, in kilograms/liter; for oxygen, in milligrams/liter; and for total particulates, milligrams/liter. Parameters associated with primary productivity (L505) include: Nitrate +Nitrite conc., Ammonia Nitrogen conc., Total Kjeldahl Nitrogen, Organic Phosphate conc., Total Hydrolyzable Phosphate, Active Chlorophyll-a, and Total Chlorophyll. Nutrients were measured in milligrams/liter; chlorophyll concentrations were measured in micrograms/liter. Instantaneous flux magnitudes were measured in milligrams/square meter/second. Additional data collected during this investigation are filed under NODC Reference #'s L01575 and one tape of Patuxent River Estuary Hydro data \"OLD STUFF\"", + "id": "gpmcxsiolyx_1", + "title": "GPM Ground Validation CXSI Radar Imagery OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-10", + "end_date": "2015-12-31", + "bbox": "-124.476, 48.4119, -123.118, 49.3183", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980116575-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980116575-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmcxsiolyx_1", + "description": "The GPM Ground Validation CXSI Radar Imagery OLYMPEX dataset contains radar reflectivity and precipitation rate images obtained from Environment and Climate Change Canada (ECCC)\u2019s weather radar network during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX), which was conducted to validate rain and snow measurements in mid latitude frontal systems as they move from ocean to coast to mountains and to determine how remotely sensed measurements of precipitation by GPM can be applied to a range of hydrologic, weather forecasting, and climate data. These data are available as GIF images for November 19, 2015 through December 31, 2015.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:7601613_Not Applicable", - "title": "AIR PRESSURE and Other Data from TIDE STATIONS From North American Coastline-North and Others from 1972-01-01 to 1974-06-30 (NCEI Accession 7601613)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-01-01", - "end_date": "1974-06-30", - "bbox": "-77, 37, -76, 39", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384776-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384776-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7601613_Not%20Applicable", - "description": "This entry contains tidal information for Chesapeake Bay. Data was submitted by Saul Berkman, NOS Tides Branch, Oceanographic Division. These data are in NODC format. These data were collected roughly 37-39 degrees N, 75 degrees W (stations were in Baltimore, Bayport VA, Cambridge MD, Cheathem Annex VA, Chesapeake City, MD, Gaskins Point, VA, Hampton Roads, VA, Kiptopeke Beach VA, Lower Marlboro, MD, Old Pt Comfort VA, Portsmouth VA, Solomons MD, Taylor Island MD, Washington DC, and Windmill Point VA. The data are in half-hourly units and includes latitude, longitude, date, time, and tidal height. The documentation describes the record format. Tide heights are referred to North American Datum (NAD) 1929.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7601642_Not Applicable", - "title": "Bacteria, taxonomic code, and other data collected from G.W. PIERCE in North Atlantic Ocean from sediment sampler; 1976-02-20 to 1976-03-23 (NCEI Accession 7601642)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-02-20", - "end_date": "1976-03-23", - "bbox": "-75.3, 37.1, -71.9, 39.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384806-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384806-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmFjdGVyaWEgLSBiYWN0ZXJpYWwgZGVuc2l0eSBhbmQgb3RoZXIgZGF0YSBmcm9tIG5hdGhhbmllbCBiLiBwYWxtZXIgZnJvbSAxOTk2LTEwLTA4IHRvIDE5OTctMDUtMDUgKG5jZWkgYWNjZXNzaW9uIDk5MDAxNjQpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTkwMDE2NFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg4NTE3LDFdIiwidW1tIjoiW1wiYmFjdGVyaWEgLSBiYWN0ZXJpYWwgZGVuc2l0eSBhbmQgb3RoZXIgZGF0YSBmcm9tIG5hdGhhbmllbCBiLiBwYWxtZXIgZnJvbSAxOTk2LTEwLTA4IHRvIDE5OTctMDUtMDUgKG5jZWkgYWNjZXNzaW9uIDk5MDAxNjQpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTkwMDE2NFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg4NTE3LDFdIn0%3D/gov.noaa.nodc%3A7601642_Not%20Applicable", - "description": "Bacteria, taxonomic code, and other data were collected using sediment sampler and other instruments in the North Atlantic Ocean from G.W. PIERCE. Data were collected from 20 February 1976 to 23 March 1976 by Virginia Institute of Marine Science in Gloucester Point with support from the Ocean Continental Shelf - Mid Atlantic (OCS-Mid Atlantic) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7601772_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship OREGON II in the NW Atlantic from 1976-02-20 to 1976-02-25 (NCEI Accession 7601772)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-02-20", - "end_date": "1976-02-25", - "bbox": "-74.4, 36.8, -72.6, 38.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384997-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384997-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7601772_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7617993_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from CAPRICORNE from 1974-07-25 to 1974-08-10 (NCEI Accession 7617993)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-07-25", - "end_date": "1974-08-10", - "bbox": "-10.3, -2.2, -3.9, 4.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385626-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385626-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7617993_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7617994_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ONVERSAAGD from 1974-06-29 to 1974-07-11 (NCEI Accession 7617994)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-06-29", - "end_date": "1974-07-11", - "bbox": "-54.3, 14.8, -53.6, 16", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385636-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385636-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7617994_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7617995_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from A. V. HUMBOLDT from 1974-07-28 to 1974-08-17 (NCEI Accession 7617995)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-07-28", - "end_date": "1974-08-17", - "bbox": "-25, -1.5, -23.4, 1.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385645-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385645-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7617995_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700058_Not Applicable", - "title": "AIR PRESSURE and Other Data from YELCHO From Drake Passage from 1976-02-27 to 1976-04-08 (NCEI Accession 7700058)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-02-27", - "end_date": "1976-04-08", - "bbox": "-70, -90, -50, -70", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385730-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385730-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7700058_Not%20Applicable", - "description": "Surface Data was collected aboard the YELCHO. Data collected was part of the First Dynamic Response And Kinematic Experiment (FDRAKE) conducted in 1976, along the Drake passage. Data consists of surface temperature, salinity, and silicate. The data was submitted by the Department of Oceanography, Texas A&M University College Station, Texas. Data are in form of computer printout (13 pages), there are no tapes. The experiment was conducted in two separate legs. The first leg was conducted between February 27-March 13, 1976 and the second leg of the experiment was conducted between March 22-April 8, 1976.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700179_Not Applicable", - "title": "AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms From Labrador Sea from 1919-09-29 to 1976-04-26 (NCEI Accession 7700179)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1919-09-29", - "end_date": "1976-04-26", - "bbox": "-60, 44, 48, 80.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385848-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385848-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7700179_Not%20Applicable", - "description": "This is German Surface Physical & Chemical Data submitted by Deutsches Hydrographische Institut. This data was collected in the Labrador Sea from January 6, 1974 to August 16, 1974. There is no documentation or description of the source code format.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700437_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from CHAIN from 1973-03-11 to 1973-07-06 (NCEI Accession 7700437)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-03-11", - "end_date": "1973-07-06", - "bbox": "-72.6, 26.3, -66.8, 33.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386094-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386094-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700437_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700455_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from GILLISS and Other Platforms from 1975-10-27 to 1976-08-27 (NCEI Accession 7700455)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-10-27", - "end_date": "1976-08-27", - "bbox": "-75.3, 37.1, -71.9, 39.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386131-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386131-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700455_Not%20Applicable", - "description": "Data was submitted by Dr. Gerald L. Engel. This study was organized to collect data on Parasite Type and Location. Parasite (both ecto- and endo-), and site of infection were looked into. SST, wave, turbidity, gear type (trawl), species, parasite (both ecto- and endo-), and site of infection (i.e. data on parasite type and location) data were collected. The documentation describes instruments employed for sampling, units, and a detailed description of the record format. These studies were part of the Mid-Atlantic Outer Continental Shelf Studies (OCS). These data were collected by the Virginia Institute of Marine Science (VIMS). Special codes employed by VIMS to describe parasite types and location were included as hardcopy. The original information submitted on tape has been converted into the current NODC storage format.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700456_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from GILLISS and Other Platforms from 1976-06-14 to 1976-09-02 (NCEI Accession 7700456)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-06-14", - "end_date": "1976-09-02", - "bbox": "-75.3, 37.5, -71.9, 39.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386139-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386139-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700456_Not%20Applicable", - "description": "Data submitted by Dr. Gerald L. Engel. The data was collected between June 1976 and September 1976. This study was organized to collect Histopathology and Benthic data. SST, wave, turbidity, gear type (trawl v.s dredge), benthic species counts and weights were collected. These data are \"megabenthic\" species. The documentation describes instruments employed for sampling, units, and a detailed description of the record format. The original data on tape has been converted to current NODC storage format. These studies were part of the Mid-Atlantic Outer Continental Shelf Studies (OCS). These data were collected by the Virginia Institute of Marine Science (VIMS).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700466_Not Applicable", - "title": "Chemical analysis of sediment samples from the mid-Atlantic Outer Continental Shelf (OCS) collected by the CAPE HENLOPEN and Other Platforms from 1975-10-27 to 1976-08-27 (NCEI Accession 7700466)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-10-27", - "end_date": "1976-08-27", - "bbox": "-75.070556, 37.736389, -72.445, 39.498611", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386170-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386170-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7700466_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700472_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from GILLISS and Other Platforms From NW Atlantic (limit-40 W) and Others from 1975-10-27 to 1976-09-02 (NCEI Accession 7700472)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-10-27", - "end_date": "1976-09-02", - "bbox": "-80, 30, -70, 50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386177-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386177-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700472_Not%20Applicable", - "description": "Microbenthic data was collected by the Virginia Institute of Marine Science (VIMS) as part of the BLM/OCS Mid (NE) Atlantic program. The data were collected from the R/V W. PIERCE from February to March 1976. The data was collected to study the Benthic organisms. Benthic species were counted and benthic taxa were identified. These data were submitted by Dr. Gerald L. Engel. The measurements included station depth; surface and sediment temperature in degrees centigrade; wind speed and direction; wave/swell height and direction; instrumentation; penetration depth; gear type; sediment core dimensions (width and penetration depth in centimeters); depth of sediment corer penetration; cloud cover and turbidity. The documentation includes a detailed record format. Data were originally filed in a VIMS format tape has been converted into current NODC data storage format.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700484_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from G. W. PIERCE from 1976-02-19 to 1976-03-23 (NCEI Accession 7700484)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-02-19", - "end_date": "1976-03-23", - "bbox": "-75.309444, 37.093611, -71.951944, 39.888889", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386211-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386211-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7700484_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700489_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER from 1975-08-29 to 1976-08-31 (NCEI Accession 7700489)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-08-29", - "end_date": "1976-08-31", - "bbox": "-151.3, 5.4, -125, 18", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386221-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386221-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700489_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700523_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from PANULIRUS II from 1976-04-06 to 1977-02-23 (NCEI Accession 7700523)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-04-06", - "end_date": "1977-02-23", - "bbox": "-64.5, 32.1, -64.5, 32.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386230-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386230-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700523_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700525_Not Applicable", - "title": "Chemical, physical, and other data from bottle and CTD casts from the KNORR and MELVILLE as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS) from 1972-07-18 to 1974-06-10 (NCEI Accession 7700525)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-07-18", - "end_date": "1974-06-10", - "bbox": "-5, -60, -140, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386247-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386247-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7700525_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from bottle and CTD casts from the KNORR and MELVILLE from 18 July 1972 to 10 June 1974. Data were collected by the Scripps Institution of Oceanography (SIO) as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS). Physical parameters include depth, temperature, salinity, and pressure. Chemical parameters include concentrations of oxygen, phosphate, nitrate, nitrite, and silicate. Analog data are availabe for this accession by contacting NODC user services.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700776_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER from 1976-10-27 to 1976-11-14 (NCEI Accession 7700776)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-10-27", - "end_date": "1976-11-14", - "bbox": "-151.3, 7.9, -137, 12.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386621-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386621-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700776_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700822_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from BLUE FIN in the NW Atlantic from 1976-07-14 to 1976-08-18 (NCEI Accession 7700822)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-07-14", - "end_date": "1976-08-18", - "bbox": "-77.8, 33.2, -76.2, 34.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386660-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386660-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7700822_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7700882_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from LE NOROIT, LA PERLE and other platforms from 1972-05-02 to 1973-10-03 (NCEI Accession 7700882)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-05-02", - "end_date": "1973-10-03", - "bbox": "-17.5, 29, -2.5, 65.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386829-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386829-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7700882_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7800148_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from EASTWARD from 1976-05-11 to 1976-05-21 (NCEI Accession 7800148)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-05-11", - "end_date": "1976-05-21", - "bbox": "-71.3, 39.2, -65.5, 42.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387019-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387019-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A7800148_Not%20Applicable", - "description": "Water Depth and other data collected by Woods Hole Oceanographic Institution from EASTWARD cruise from May 11-21, 1976. The high resolution Conductivity, Temperature and Depth (CTD) measurements are stored in NODC format file F022. More information regarding this file format can be obtained from the URL: http://www.nodc.noaa.gov/General/NODC-Archive/f022.html", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7800207_Not Applicable", - "title": "Bacteriology data from moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean during the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project, 1976-11-05 to 1977-08-16 (NCEI Accession 7800207)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-11-05", - "end_date": "1977-08-16", - "bbox": "-75.3, 37.1, -70.6, 39.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387045-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387045-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7800207_Not%20Applicable", - "description": "Bacteriology data were collected using moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean from November 5, 1976 to August 16, 1977. Data were submitted by Virginia Institute of Marine Science - Gloucester Point as part of the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project. Data has been been processed by NODC to the standard NODC F009- Bacteriology formats. Full format descriptions are available from NODC homepage at https://intra.nodc.noaa.gov/Information/Teams/apd_info/md_improvement _project2004/MULDARS_FGDCs/F009.txt The F009 format is designed to support bacteriological studies of the water column and ocean bottom. Information on environmental conditions, physical measurements of the water and sediment, and denisty of heterotrophic, hydrocarbonclastic, and halophilic bacteria are presented. The format contains five data record types, each 80 characters in length, sorted by station ad sequence numbers. The first nine columns for all records are to be used for file name (columns 1-3) and file identifier (columns 4-9). The file identifier, to be assigned by the orginator, is an unique originator id for each data submission. After submission, the NODCreassigns to this field an unique NODC indentifier for internal use.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7800886_Not Applicable", - "title": "Benthic organisms and marine toxic substances and pollutants collected using net and sediment samplers from NOAA Ship MT. MITCHELL and other platforms from 1974-05-22 to 1974-05-27 (NCEI Accession 7800886)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-05-22", - "end_date": "1974-05-27", - "bbox": "-73.6, 38.6, -70, 39.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387712-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387712-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7800886_Not%20Applicable", - "description": "Benthic organisms and marine toxic substances and pollutants were collected using sediment sampler and net casts in the coastal waters of the East coast of US. Data were submitted by Dr. J.C. Ayres of the Marine Fisheries Service in Highlands. Data were collected from 22 May 1974 to 27 May 1974. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7900006_Not Applicable", - "title": "Chemical data from moored current meter, bottle casts, and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-06-23 to 1978-06-30 (NCEI Accession 7900006)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-06-23", - "end_date": "1978-06-30", - "bbox": "-93.7, 29, -91.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387769-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387769-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7900006_Not%20Applicable", - "description": "Chemical data were collected using moored current meter, bottle casts, and other instruments in the Gulf of Mexico from June 18, 1978 to June 24, 1981. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Current Meter Data, and F144 Marine Toxic Substances formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7900247_Not Applicable", - "title": "Bacteriology, wind wave spectra, and benthic organism data from moored buoy casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-02-01 to 1979-05-03 (NCEI Accession 7900247)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-02-01", - "end_date": "1979-05-03", - "bbox": "-95.3, 28.7, -91.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384809-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384809-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A7900247_Not%20Applicable", - "description": "Bacteriology, wind wave spectra, and benthic organism data were collected using moored buoy casts and other instruments in the Gulf of Mexico from February 1, 1978 to May 3, 1979. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the standard NODC F009- Bacteriology, F132- Benthic Organisms, and F191- Wind Wave Spectra formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F009 format is designed to support bacteriological studies of the water column and ocean bottom. Information on environmental conditions, physical measurements of the water and sediment, and denisty of heterotrophic, hydrocarbonclastic, and halophilic bacteria are presented. The format contains five data record types, each 80 characters in length, sorted by station ad sequence numbers. The first nine columns for all records are to be used for file name (columns 1-3) and file identifier (columns 4-9). The file identifier, to be assigned by the orginator, is an unique originator id for each data submission. After submission, the NODCreassigns to this field an unique NODC indentifier for internal use. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. \"Self-documenting files containing, [datatypes].\" The F191 format is used to report meteorological data and ocean wave spectra data from NDBO. The format contains seven data record types to: 1) Identify the buoy for position, duration, rate of sampling and heading. 2) Identify the meteorological parameters (temperature, pressure, weather, solar radiation, and surface waves). 3) Report time series frequency, density and resolution of waves. Each record is 120 characters in length, sorted by station and record type. The first nine columns for all records are to be used for file type (columns 1-3) and file identifier (column 4-9). The file identifier, to be assigned by the originator, is an unique originator id for each data submission. After submission, the NODC reassigns to this field an unique NODC identifier for internal use.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7900280_Not Applicable", - "title": "Chemical data from moored current meter, bottle casts, and other instruments in the Coastal Waters of New Jersey as part of the Mesa New York Bight (MESA - NYB) project, 1978-05-18 to 1978-10-19 (NCEI Accession 7900280)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-05-18", - "end_date": "1978-10-19", - "bbox": "-73.8, 40.4, -73.5, 40.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384961-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384961-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwgYW5kIHRlbXBlcmF0dXJlIHByb2ZpbGUgZGF0YSBmcm9tIGN0ZCBjYXN0cyBpbiB0aGUgZWFzdCBjaGluYSBzZWEsIHNlYSBvZiBqYXBhbiwgYW5kIG5vcnRoIHBhY2lmaWMgb2NlYW4gKG5jZWkgYWNjZXNzaW9uIDk3MDAwMjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTcwMDAyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg3Nzc0LDFdIiwidW1tIjoiW1wiY2hlbWljYWwgYW5kIHRlbXBlcmF0dXJlIHByb2ZpbGUgZGF0YSBmcm9tIGN0ZCBjYXN0cyBpbiB0aGUgZWFzdCBjaGluYSBzZWEsIHNlYSBvZiBqYXBhbiwgYW5kIG5vcnRoIHBhY2lmaWMgb2NlYW4gKG5jZWkgYWNjZXNzaW9uIDk3MDAwMjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTcwMDAyMlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg3Nzc0LDFdIn0%3D/gov.noaa.nodc%3A7900280_Not%20Applicable", - "description": "Chemical data were collected using moored current meter, bottle casts, and other instruments in the Coastal Waters of New Jersey from May 18, 1978 to October 19, 1978. Data were submitted by Nassau County Department of Health; Bureau of Water Surveillance as part of the Mesa New York Bight (MESA - NYB) project. Data has been been processed by NODC to the NODC standard F004- Current Meter Data, and F144 Marine Toxic Substances formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7900304_Not Applicable", - "title": "Benthic organisms and marine toxic substances and pollutants collected using sediment sampler and net casts from the GUS III and EXCELLENCE in the Gulf of Mexico from 1978-05-24 to 1979-02-26 (NCEI Accession 7900304)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-05-24", - "end_date": "1979-02-26", - "bbox": "-95.3, 28.7, -91.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385226-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385226-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7900304_Not%20Applicable", - "description": "Benthic organisms and marine toxic substances and pollutants were collected using sediment sampler and net casts in the Gulf of Mexico. Data were submitted by Texas A&M University and Energy Resources Co. Inc.s. with support from the Brine Disposal project. Data were collected from the GUS III and EXCELLENCE from 24 May 1978 to 26 February 1979. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7900310_Not Applicable", - "title": "BIRDS from THOMAS G. THOMPSON from 1978-04-09 to 1978-04-28 (NCEI Accession 7900310)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-04-09", - "end_date": "1978-04-28", - "bbox": "-169.5, 54.3, -154.7, 57.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385623-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385623-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A7900310_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:7900332_Not Applicable", - "title": "Benthic organisms collected using sediment sampler and net casts from the GUS III and EXCELLENCE in the Gulf of Mexico from 1978-05-22 to 1979-04-20 (NCEI Accession 7900332)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-05-22", - "end_date": "1979-04-20", - "bbox": "-95.3, 28.8, -95.3, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385740-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385740-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A7900332_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler and net casts in the Gulf of Mexico. Data were submitted by Texas A&M University with support from the Brine Disposal project. Data were collected from the GUS III and EXCELLENCE from 22 May 1978 to 20 April 1979. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000002_Not Applicable", - "title": "Chemical, zooplankton, and marine toxic substances data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-06-02 to 1979-06-02 (NCEI Accession 8000002)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-06-02", - "end_date": "1979-06-02", - "bbox": "-93.6, 29, -91.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385810-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385810-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8000002_Not%20Applicable", - "description": "Chemical, zooplankton, and marine toxic substances data were collected using moored current meter casts and other instruments in the Gulf of Mexico from June 2, 1978 to June 2, 1979. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the standard NODC F004- Water Physics and Chemistry, F124- Zooplankton, and F144- Marine Toxic Substances formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000013_Not Applicable", - "title": "Benthic organisms data collected using sediment sampler and net casts from NOAA Ship DELAWARE II and other platforms in the New York Blight from 1957-06-19 to 1978-07-20 (NCEI Accession 8000013)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1957-06-19", - "end_date": "1978-07-20", - "bbox": "-75.5, 36.9, -69.2, 41.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385843-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385843-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVudGhpYyBvcmdhbmlzbSBkYXRhIGZyb20gdGhlIHNvdXRoIHRleGFzIG91dGVyIGNvbnRpbmVudGFsIHNoZWxmIChzdG9jcykgYW5kIHRoZSBtaXNzaXNzaXBwaSwgYWxhYmFtYSwgYW5kIGZsb3JpZGEgKG1hZmxhKSBvdXRlciBjb250aW5lbnRhbCBzaGVsZiBzdHVkaWVzIGZyb20gMTk3NC0wNS0xNiB0byAxOTc4LTAyLTIwIChuY2VpIGFjY2Vzc2lvbiA4NTAwMTc5KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjg1MDAxNzlcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NzE5NSwxXSIsInVtbSI6IltcImJlbnRoaWMgb3JnYW5pc20gZGF0YSBmcm9tIHRoZSBzb3V0aCB0ZXhhcyBvdXRlciBjb250aW5lbnRhbCBzaGVsZiAoc3RvY3MpIGFuZCB0aGUgbWlzc2lzc2lwcGksIGFsYWJhbWEsIGFuZCBmbG9yaWRhIChtYWZsYSkgb3V0ZXIgY29udGluZW50YWwgc2hlbGYgc3R1ZGllcyBmcm9tIDE5NzQtMDUtMTYgdG8gMTk3OC0wMi0yMCAobmNlaSBhY2Nlc3Npb24gODUwMDE3OSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4NTAwMTc5XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODcxOTUsMV0ifQ%3D%3D/gov.noaa.nodc%3A8000013_Not%20Applicable", - "description": "Benthic organisms data were collected using sediment sampler and net casts from NOAA Ship DELAWARE II and other platforms in the New York Blight from 19 June 1957 to 20 July 1978. Data were submitted by the Virginia Institute of Marine Science with support from the MESA - New York Blight project.Data were processed by NODC to the NODC standard F132 Benthic Organism format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f132.html. An analog file for this accession is available from NODC user services. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000075_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ACONA from 1977-10-30 to 1979-08-24 (NCEI Accession 8000075)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-10-30", - "end_date": "1979-08-24", - "bbox": "-167.1, 52.8, -130.4, 61.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386065-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386065-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000075_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000132_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER from 1979-08-18 to 1979-08-24 (NCEI Accession 8000132)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-08-18", - "end_date": "1979-08-24", - "bbox": "-125.9, 47.6, -123.4, 48.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386100-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386100-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8000132_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000236_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship FERREL from 1978-06-26 to 1979-06-03 (NCEI Accession 8000236)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-06-26", - "end_date": "1979-06-03", - "bbox": "-93.6, 29, -91.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386298-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386298-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8000236_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000344_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ACONA from 1979-09-19 to 1979-12-12 (NCEI Accession 8000344)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-09-19", - "end_date": "1979-12-12", - "bbox": "-167.1, 51, -146.7, 61.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386688-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386688-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000344_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000417_Not Applicable", - "title": "Chemical, physical, and other data from bottle and CTD casts from the MELVILLE from the Indian Ocean as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS) from 1977-12-04 to 1978-04-24 (NCEI Accession 8000417)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-12-04", - "end_date": "1978-04-24", - "bbox": "8.1, -37.8, 79.9, 37.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386989-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386989-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsIGFuZCBwcm9maWxlIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSByeWFuIGNob3Vlc3QgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGZyb20gMjAxMC0wOS0wNCB0byAyMDEwLTA5LTA4IGluIHJlc3BvbnNlIHRvIHRoZSBkZWVwd2F0ZXIgaG9yaXpvbiBvaWwgc3BpbGwgZXZlbnQgKG5jZWkgYWNjZXNzaW9uIDAwNjkxMjApXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA2OTEyMFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzczNTM3LDFdIiwidW1tIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsIGFuZCBwcm9maWxlIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSByeWFuIGNob3Vlc3QgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGZyb20gMjAxMC0wOS0wNCB0byAyMDEwLTA5LTA4IGluIHJlc3BvbnNlIHRvIHRoZSBkZWVwd2F0ZXIgaG9yaXpvbiBvaWwgc3BpbGwgZXZlbnQgKG5jZWkgYWNjZXNzaW9uIDAwNjkxMjApXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA2OTEyMFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzczNTM3LDFdIn0%3D/gov.noaa.nodc%3A8000417_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from bottle and CTD casts in the Indian from the MELVILLE from 04 December 1977 to 24 April 1978. Data were collected by the Scripps Institution of Oceanography (SIO) as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS). Physical parameters include depth, temperature, salinity, pH, and pressure. Chemical parameters include concentrations of carbon dioxide, oxygen, phosphate, nitrate, nitrite, and silicate. Analog data are available for this accession by contacting NODC user services.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000424_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from G. W. PIERCE, COLUMBUS ISELIN and PAN PACIFIC in the Mid-Atlantic Bight from 1979-03-14 to 1979-11-02 (NCEI Accession 8000424)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-03-14", - "end_date": "1979-11-02", - "bbox": "-81.3, 29, -76.9, 33.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387004-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387004-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8000424_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000502_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1979-04-26 to 1979-11-19 (NCEI Accession 8000502)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-04-26", - "end_date": "1979-11-19", - "bbox": "-95.5, 28.8, -95.3, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387372-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387372-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000502_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 26 April 1979 to 19 November 1979. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000503_Not Applicable", - "title": "BOTTOM TYPE and Other Data from EXCELLENCE from 1979-04-24 to 1980-04-21 (NCEI Accession 8000503)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-04-24", - "end_date": "1980-04-21", - "bbox": "-95.3, 28.7, -95.2, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387387-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387387-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000503_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000523_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1979-07-30 to 1979-12-16 (NCEI Accession 8000523)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-07-30", - "end_date": "1979-12-16", - "bbox": "-95.3, 28.7, -95.2, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387444-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387444-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000523_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 30 July 1979 to 16 December 1979. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000543_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-06-17 to 1980-07-02 (NCEI Accession 8000543)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-06-17", - "end_date": "1980-07-02", - "bbox": "-167, 54.2, -152.9, 58.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387491-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387491-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000543_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000544_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-06-11 to 1980-06-13 (NCEI Accession 8000544)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-06-11", - "end_date": "1980-06-13", - "bbox": "-149.7, 59.5, -149.2, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387501-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387501-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000544_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000581_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-07-06 to 1980-07-25 (NCEI Accession 8000581)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-07-06", - "end_date": "1980-07-25", - "bbox": "-175.1, 52, -149.4, 60.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387587-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387587-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000581_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000602_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico for 1980-01-28 (NCEI Accession 8000602)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-01-28", - "end_date": "1980-01-28", - "bbox": "-95.3, 28.8, -95.3, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387695-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387695-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000602_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 28 January 1980 to 28 January 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8000603_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico for 1979-12-19 (NCEI Accession 8000603)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-12-19", - "end_date": "1979-12-19", - "bbox": "-95.3, 28.8, -95.3, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387700-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387700-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8000603_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 19 December 1979 to 19 December 1979. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100023_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ACONA from 1979-07-29 to 1979-07-30 (NCEI Accession 8100023)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-07-29", - "end_date": "1979-07-30", - "bbox": "-146.9, 60.9, -146.2, 61.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387808-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387808-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100023_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100223_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-01-18 to 1980-11-04 (NCEI Accession 8100223)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-01-18", - "end_date": "1980-11-04", - "bbox": "-95.3, 28.7, -95.2, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384733-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384733-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100223_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 18 January 1980 to 04 November 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100224_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the SW RESEARCHER in the Gulf of Mexico from 1977-09-22 to 1977-12-16 (NCEI Accession 8100224)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-09-22", - "end_date": "1977-12-16", - "bbox": "-94.2, 29.5, -93.2, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384742-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384742-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100224_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the SW RESEARCHER in the Gulf of Mexico from 22 September 1977 to 16 December 1977. Data were submitted by the Science Application, INC. with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100360_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1969-08-20 to 1969-09-17 (NCEI Accession 8100360)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-08-20", - "end_date": "1969-09-17", - "bbox": "-129.2, 39.5, -123.9, 48.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384780-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384780-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100360_Not%20Applicable", - "description": "Conductivity, temperature and Depth probe was used to collect data from NOAA Ship DAVID STARR JORDAN. The data were collected from NE Pacific (limit-180) over one month duration from August 20, 1969 to September 17, 1969 by National Marine Fisheries Service, La Jolla, CA.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100361_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1971-07-01 to 1971-07-12 (NCEI Accession 8100361)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-07-01", - "end_date": "1971-07-12", - "bbox": "-135.3, 32.4, -128.9, 41.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384792-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384792-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100361_Not%20Applicable", - "description": "Conductivity, temperature and Depth probe was used to collect data from NOAA Ship DAVID STARR JORDAN. The data were collected from NE Pacific (limit-180) over 12 days duration from July 1-12 1971 by National Marine Fisheries Service, La Jolla, CA. The data is stored in High-Resolution CTD Data (F022). The following URL provides more information regarding the F022 format. http://www.nodc.noaa.gov/General/NODC-Archive/f022.html", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100362_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship TOWNSEND CROMWELL in the NE Pacific from 1972-06-04 to 1972-06-24 (NCEI Accession 8100362)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-06-04", - "end_date": "1972-06-24", - "bbox": "-140.2, 30.9, -134.8, 40.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384804-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384804-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8100362_Not%20Applicable", - "description": "Conductivity, temperature and Depth probe was used to collect data from NOAA Ship TOWNSEND CROMWELL. The data were collected from NE Pacific (limit-180) over 20 days duration from June 4-24, 1972 by National Marine Fisheries Service, La Jolla, CA. The data is stored in High-Resolution CTD Data (F022). The following URL provides more information regarding the F022 format. http://www.nodc.noaa.gov/General/NODC-Archive/f022.html", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100436_Not Applicable", - "title": "Chemical, meteorological and other data from bottle casts and other instruments from the ARGOS, Arni Fridriksson and other platforms in the Barents Sea, North Sea and other locations from 1969-04-21 to 1979-07-12 (NCEI Accession 8100436)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-04-21", - "end_date": "1979-07-12", - "bbox": "-57.6, 53.7, 37.3, 76.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384930-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384930-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100436_Not%20Applicable", - "description": "This accession contains oceanographic data collected from bottle casts and other instruments. Data were collected from the ARGOS, Arni Fridriksson and other platforms in the Barents Sea, North Sea and other locations. Data are in the Oceanographic Station Data (SD2) format which includes meteorological, chemical and physical parameters. Data were collected from 1969-04-21 to 1979-07-12.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100438_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1973-06-11 to 1973-07-04 (NCEI Accession 8100438)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-06-11", - "end_date": "1973-07-04", - "bbox": "-140.1, 30.5, -125.9, 41", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384951-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384951-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100438_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100456_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-05-22 to 1980-07-25 (NCEI Accession 8100456)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-05-22", - "end_date": "1980-07-25", - "bbox": "-95.3, 28.7, -95.2, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384992-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384992-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100456_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 22 May 1980 to 25 July 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100458_Not Applicable", - "title": "CHLOROPHYLL A - INTEGRATED, CARBON ASSIMILATION - INTEGRATED and other data from SW RESEARCHER from 1977-10-21 to 1978-10-19 (NCEI Accession 8100458)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-10-21", - "end_date": "1978-10-19", - "bbox": "-94.6, 29.5, -93.2, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385012-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385012-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100458_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100471_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-03-31 to 1980-07-02 (NCEI Accession 8100471)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-03-31", - "end_date": "1980-07-02", - "bbox": "-95.3, 28.8, -95.3, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385072-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385072-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100471_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 31 March 1980 to 02 July 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100491_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the SW RESEARCHER and other platforms in the Gulf of Mexico from 1978-02-03 to 1978-10-19 (NCEI Accession 8100491)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-02-03", - "end_date": "1978-10-19", - "bbox": "-95.3, 28.7, -93.2, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385537-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385537-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100491_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the SW RESEARCHER in the Gulf of Mexico from 03 February 1978 to 19 October 1978. Data were submitted by the Science Application, INC. with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100494_Not Applicable", - "title": "BIRDS from ALPHA HELIX and Other Platforms from 1980-05-21 to 1980-10-25 (NCEI Accession 8100494)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-05-21", - "end_date": "1980-10-25", - "bbox": "-169.6, 54.2, -161.2, 57.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385612-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385612-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100494_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100495_Not Applicable", - "title": "BIRDS from THOMAS G. THOMPSON from 1980-04-06 to 1980-04-23 (NCEI Accession 8100495)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-04-06", - "end_date": "1980-04-23", - "bbox": "-167.8, 54, -162.7, 57.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385622-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385622-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A8100495_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100496_Not Applicable", - "title": "BIRDS from THOMAS G. THOMPSON from 1980-04-28 to 1980-08-19 (NCEI Accession 8100496)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-04-28", - "end_date": "1980-08-19", - "bbox": "-169.7, 54.8, -163, 58.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385633-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385633-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A8100496_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100497_Not Applicable", - "title": "BIRDS from THOMAS G. THOMPSON from 1980-03-21 to 1980-04-03 (NCEI Accession 8100497)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-03-21", - "end_date": "1980-04-03", - "bbox": "-168, 54.1, -163.7, 57.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385643-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385643-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A8100497_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100503_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-08-12 to 1980-12-11 (NCEI Accession 8100503)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-08-12", - "end_date": "1980-12-11", - "bbox": "-168.4, 53.6, -146, 61.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385682-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385682-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100503_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100566_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-10-23 to 1981-02-18 (NCEI Accession 8100566)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-10-23", - "end_date": "1981-02-18", - "bbox": "-95.3, 28.7, -95.2, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385909-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385909-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8100566_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 23 October 1980 to 18 February 1981. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100606_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from JEAN A. from 1980-06-17 to 1980-06-21 (NCEI Accession 8100606)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-06-17", - "end_date": "1980-06-21", - "bbox": "-66, 17.7, -65.5, 18.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386017-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386017-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100606_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100613_Not Applicable", - "title": "BIRDS from ACONA and Other Platforms from 1979-04-07 to 1979-06-17 (NCEI Accession 8100613)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-04-07", - "end_date": "1979-06-17", - "bbox": "-169.9, 54, -133.1, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386072-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386072-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100613_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100667_Not Applicable", - "title": "BIRDS from ALPHA HELIX and Other Platforms from 1981-01-03 to 1981-07-03 (NCEI Accession 8100667)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-01-03", - "end_date": "1981-07-03", - "bbox": "-178.8, 53.9, -136.2, 64.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386265-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386265-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8100667_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100711_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship TOWNSEND CROMWELL from 1975-06-20 to 1975-07-03 (NCEI Accession 8100711)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-06-20", - "end_date": "1975-07-03", - "bbox": "-150.9, 24.1, -125.2, 48.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386391-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386391-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8100711_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from NOAA Ship TOWNSEND CROMWELL (cruise # 65) and other platforms. The data was collected over a period spanning from June 20, 1975 to July 3, 1975. Data was submitted by National Marine Fisheries Service, La Jolla, CA. The high resolution CTD data is available in the F022 format of NODC. Following URL http://www.nodc.noaa.gov/General/NODC-Archive/f022.html provides more information on the data format.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8100731_Not Applicable", - "title": "Chemical, phytoplankton, zooplankton, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1980-04-17 to 1981-07-17 (NCEI Accession 8100731)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-04-17", - "end_date": "1981-07-17", - "bbox": "-95.3, 28.7, -93.3, 30.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386454-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386454-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8100731_Not%20Applicable", - "description": "Current direction, chemical, phytoplankton, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from April 17, 1980 to July 17, 1981. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F069- Marine Chemistry, and F124- Zooplankton formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8200012_Not Applicable", - "title": "Chemical, benthic organisms, zooplankton, marine toxic substances, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1979-08-30 to 1981-09-21 (NCEI Accession 8200012)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-08-30", - "end_date": "1981-09-21", - "bbox": "-95.4, 28.6, -93.3, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386543-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386543-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8200012_Not%20Applicable", - "description": "Chemical, marine toxic substances, benthic organisms, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from August 30, 1979 to September 21, 1981. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F069- Marine Chemistry, F123- Fish Shellfish Resources, F124- Zooplankton, F132- Benthic Organisms, and F144- Marine Toxic Substances formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. \" Self-documenting files cotnaining [datatypes].\"", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8200015_Not Applicable", - "title": "BIRDS from ALPHA HELIX and Other Platforms from 1981-05-31 to 1981-07-21 (NCEI Accession 8200015)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-05-31", - "end_date": "1981-07-21", - "bbox": "-170.1, 54.3, -160.7, 67.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386561-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386561-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8200015_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8200045_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1981-07-23 to 1981-11-16 (NCEI Accession 8200045)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-07-23", - "end_date": "1981-11-16", - "bbox": "-175, 48, -147.8, 71.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386713-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386713-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8200045_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8200064_Not Applicable", - "title": "Chemical, phytoplankton, zooplankton, benthic organisms, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1981-02-12 to 1982-01-05 (NCEI Accession 8200064)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-02-12", - "end_date": "1982-01-05", - "bbox": "-95.3, 28.6, -93.3, 30.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386898-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386898-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8200064_Not%20Applicable", - "description": "Chemical, phytoplankton, benthic organisms, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from February 12, 1981 to January 5, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F123- Fish Shellfish Resources, F124- Zooplankton, and F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8200069_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1981-11-17 to 1981-11-24 (NCEI Accession 8200069)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-11-17", - "end_date": "1981-11-24", - "bbox": "-149.7, 59.1, -144.4, 60.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386931-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386931-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8200069_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8200079_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from DISCOVERY from 1979-05-16 to 1979-06-30 (NCEI Accession 8200079)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-05-16", - "end_date": "1979-06-30", - "bbox": "40, -4.2, 53.1, 9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386971-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386971-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8200079_Not%20Applicable", - "description": "Not provided", + "id": "gpmd3rgcpex_1", + "title": "GPM GROUND VALIDATION DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-03", + "end_date": "2012-02-29", + "bbox": "-80.0512, 43.9631, -79.5122, 44.5021", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980126207-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980126207-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmd3rgcpex_1", + "description": "The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) GCPEx and IFloodS data sets contain radar reflectivity and doppler velocity measurements. The D3R was developed by a government-industry-academic consortium with funding from NASA's Global Precipitation Measurement (GPM) Project. It operates at the ku (13.91 GHz \u00b1 25 MHz) and ku (35.56 GHz \u00b1 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) GCPEx dataset is available in netCDF format. Browse images are also available in .png format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200103_Not Applicable", - "title": "Benthic organism and marine toxic substances and pollutants collected using net and sediment sampler casts from NOAA Ship RESEARCHER in Gulf of Mexico from 1979-07-23 to 1980-12-13 (NCEI Accession 8200103)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-07-23", - "end_date": "1980-12-13", - "bbox": "-97.5, 2.7, -90.7, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387076-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387076-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8200103_Not%20Applicable", - "description": "Benthic organism and marine toxic substances and pollutants were collected using net, sediment sampler, and other instruments from NOAA Ship RESEARCHER and other platforms in the Gulf of Mexico. Data were submitted by the Energy Resources Co., INC. with support from IXTOC project. Data were collected from 23 July 1979 to 13 December 1980. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", + "id": "gpmd3ricepop_1", + "title": "GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) ICE POP", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-11-01", + "end_date": "2018-03-17", + "bbox": "128.36, 37.3181, 129.078, 38.0367", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983445363-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983445363-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmd3ricepop_1", + "description": "The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) ICE POP dataset includes reflectivity, differential reflectivity, copolar correlation coefficient, differential propagation phase, radial velocity, and spectrum width data collected by the Dual-frequency Dual-polarized Doppler Radar (D3R) during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. The D3R was developed by a government-industry-academic consortium with funding from NASA's GPM Project. It operates at the ku (13.91 GHz \u00b1 25 MHz) and ka (35.56 GHz \u00b1 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The D3R dataset files are available from November 1, 2017 through March 17, 2018 in netCDF-4 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200176_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1981-06-01 to 1982-01-01 (NCEI Accession 8200176)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-06-01", - "end_date": "1982-01-01", - "bbox": "-93.1, 28.4, -92, 29.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387342-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387342-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8200176_Not%20Applicable", - "description": "Not provided", + "id": "gpmd3rifld_1", + "title": "GPM GROUND VALIDATION DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-05-09", + "end_date": "2013-06-13", + "bbox": "-92.9, 42, -90.1, 42.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981441257-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981441257-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmd3rifld_1", + "description": "The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) IFloodS dataset contains radar reflectivity and doppler velocity measurements from the Iowa Flood Studies (IFloodS) campaign. This campaign aimed to improve satellite precipitation measurements for flood prediction by using ground measurements to improve satellite retrieval algorithms. The D3R was developed by a government-industry-academic consortium with funding from NASA's Global Precipitation Measurement (GPM) Project. It operates at the ku (13.91 GHz \u00b1 25 MHz) and ka (35.56 GHz \u00b1 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The D3R IFloodS dataset is available from May 9, 2013 through June 13, 2013 in netCDF-3 format with corresponding browse imagery available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200181_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1981-01-01 to 1981-02-01 (NCEI Accession 8200181)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-01-01", - "end_date": "1981-02-01", - "bbox": "-93.1, 28.4, -92, 29.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387379-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387379-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8200181_Not%20Applicable", - "description": "Not provided", + "id": "gpmd3riphx_1", + "title": "GPM GROUND VALIDATION DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) IPHEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-15", + "bbox": "-81.9632, 35.1959, -81.9631, 35.1959", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981506869-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981506869-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmd3riphx_1", + "description": "The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) IPHEx data set contains radar reflectivity and doppler velocity measurements. The D3R was developed by a government-industry-academic consortium with funding from NASA's Global Precipitation Measurement (GPM) Project. It operates at the ku (13.91 GHz \u00b1 25 MHz) and ku (35.56 GHz \u00b1 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The instrument's data are available in netCDF-4 format with browse imagery available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200183_Not Applicable", - "title": "Chemical, zooplankton, phytoplankton, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1981-02-17 to 1982-05-27 (NCEI Accession 8200183)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-02-17", - "end_date": "1982-05-27", - "bbox": "-93.9, 29.4, -93.3, 30.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387386-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387386-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8200183_Not%20Applicable", - "description": "Chemical, phytoplankton, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from February 17, 1980 to May 27, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F069- Marine Chemistry, F123- Fish Shellfish Resource, and F124- Zooplankton formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record.", + "id": "gpmd3rolyx_1", + "title": "GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-08", + "end_date": "2016-01-15", + "bbox": "-124.211, 47.2772, -124.211, 47.2773", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2748694717-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2748694717-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmd3rolyx_1", + "description": "The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) OLYMPEX dataset contains radar reflectivity, velocity, differential reflectivity, differential phase, spectrum width, and co-polar correlation products collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Dual-frequency Dual-polarized Doppler Radar (D3R) was developed by a government-industry-academic consortium with funding from NASA\u2019s GPM mission and was used in several ground validation projects. D3R operates at the Ku-band (13.91 GHz \u00b1 25 MHz) and Ka-band (35.56 GHz \u00b1 25 MHz) frequencies, similar to the frequencies used for the GPM satellite instruments, and covers a fixed range from 450 m to 40 km. For OLYMPEX, the D3R was co-located with the NASA S-band Dual Polarimetric (NPOL) Doppler Radar at a coastal Washington state location on the Olympic Peninsula. Due to blockage caused by NPOL, the D3R measurement area is limited to a 220 degree to 120 degree sector. The GPM GV D3R OLYMPEX dataset files are available from November 8, 2015 through January 15, 2016 in netCDF-4 format along with browse imagery of reflectivity in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200219_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1981-01-01 to 1982-01-01 (NCEI Accession 8200219)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-01-01", - "end_date": "1982-01-01", - "bbox": "-93.1, 28.4, -92, 29.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387551-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387551-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8200219_Not%20Applicable", - "description": "Not provided", + "id": "gpmdowolyx2_2", + "title": "GPM Ground Validation Doppler on Wheels (DOW) OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-06", + "end_date": "2016-01-15", + "bbox": "-124.408, 46.9499, -123.331, 48.0271", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980430683-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980430683-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmdowolyx2_2", + "description": "The GPM Ground Validation Doppler on Wheels (DOW) OLYMPEX V2 dataset was obtained by a dual-polarization and dual-frequency X-band mobile radar operated by the Center for Severe Weather Research (CSWR) during the Olympic Mountain Experiment (OLYMPEX) campaign. The DOW was deployed in the Chehalis Valley for the OLYMPEX field campaign with the goal of obtaining radar reflectivity and Doppler velocity observations in order to better understand the orographic enhancement of precipitation during frontal passages over mountain ranges. The DOW radar uses two 250 kW transmitters with a measurement range of roughly 60 km. These data are available in CFradial netCDF-4 format from November 6, 2015 through January 15, 2016.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200236_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KAKADIAMAA, HARKNESS and other platforms from 1980-01-16 to 1982-10-30 (NCEI Accession 8200236)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-01-16", - "end_date": "1982-10-30", - "bbox": "-162.4, 4.6, 0.9, 56.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387645-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387645-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8200236_Not%20Applicable", - "description": "Not provided", + "id": "gpmepfl_1", + "title": "GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2008-11-26", + "end_date": "2010-09-29", + "bbox": "6.56273, 46.5176, 6.57258, 46.5219", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980443814-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980443814-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmepfl_1", + "description": "The GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland dataset consists of a network of 16 Parsivel disdrometers deployed on the Ecole Polytechnique Federale de Lausanne (EPFL) campus in Lausanne, Switzerland for about 16 months from March 2009 to July 2010. The distribution of the disdrometers was to cover a typical operational radar pixel (about 1x1 km2). Since all the stations were not deployed at the same time, additional data are available from November 2008 to September 2010. The dataset also consists of a list of precipitation events that occurred throughout the study period. There are two types of data, raw data and filtered volumic drop size distribution data. These data are in ASCII (.dat, .txt) format that are compressed into .gz files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8200245_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX and REDOUBT from 1982-06-02 to 1982-09-25 (NCEI Accession 8200245)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-06-02", - "end_date": "1982-09-25", - "bbox": "-168, 53.6, -130.4, 61", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387668-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387668-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8200245_Not%20Applicable", - "description": "Not provided", + "id": "gpmer2navmc3e_1", + "title": "GPM GROUND VALIDATION NASA ER-2 NAVIGATION DATA MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-03", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979140850-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979140850-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmer2navmc3e_1", + "description": "The GPM Ground Validation NASA ER-2 Navigation Data MC3E dataset contains information recorded by an on board navigation recorder (NavRec). In addition to typical navigation data (e.g. date, time, lat/lon and altitude) it contains outside meteorological parameters such as wind speed, wind direction, and temperature. These ASCII text files were recorded every second for the length of the flight. The Flight Summaries and Flight Track Imagery dataset which includes sonde maps, radar animation, and 5-minute KICT track snapshots is distributed with this dataset.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8300017_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1982-01-01 to 1982-06-01 (NCEI Accession 8300017)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-01-01", - "end_date": "1982-06-01", - "bbox": "-93.1, 28.4, -92, 29.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387730-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387730-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8300017_Not%20Applicable", - "description": "Not provided", + "id": "gpmexradiphx_1", + "title": "GPM GROUND VALIDATION ER-2 X-BAND RADAR (EXRAD) IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-03", + "end_date": "2014-06-12", + "bbox": "-86.5619, 26.7991, -71.9384, 36.5498", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979141020-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979141020-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmexradiphx_1", + "description": "The GPM Ground Validation ER-2 X-band Radar (EXRAD) IPHEx dataset was collected in support of the Global Precipitation Measurement (GPM) mission Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina, with an intense study period occurring from May 1, 2014 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. EXRAD is a single-frequency X-band Doppler radar that measures reflectivity and Doppler velocity. The science instruments, including the EXRAD, onboard the NASA ER-2 aircraft acted as a proxy for GPM satellite instruments. This dataset is available in netCDF-3 file format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8300037_Not Applicable", - "title": "Chemical, physical, phytoplankton weight, and other data collected using meteorological sensors, plankton net, secchi disk, CTD, and bottle casts from the G.W. PIERCE as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1971-06-19 to 1980-09-14 (NCEI Accession 8300037)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-06-19", - "end_date": "1980-09-14", - "bbox": "-60, -80, 20, 20", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387823-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387823-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsIGFuZCBwcm9maWxlIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSByeWFuIGNob3Vlc3QgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGZyb20gMjAxMC0wOS0wNCB0byAyMDEwLTA5LTA4IGluIHJlc3BvbnNlIHRvIHRoZSBkZWVwd2F0ZXIgaG9yaXpvbiBvaWwgc3BpbGwgZXZlbnQgKG5jZWkgYWNjZXNzaW9uIDAwNjkxMjApXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA2OTEyMFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzczNTM3LDFdIiwidW1tIjoiW1wiY2hlbWljYWwsIHBoeXNpY2FsIGFuZCBwcm9maWxlIG9jZWFub2dyYXBoaWMgZGF0YSBjb2xsZWN0ZWQgYWJvYXJkIHRoZSByeWFuIGNob3Vlc3QgaW4gdGhlIGd1bGYgb2YgbWV4aWNvIGZyb20gMjAxMC0wOS0wNCB0byAyMDEwLTA5LTA4IGluIHJlc3BvbnNlIHRvIHRoZSBkZWVwd2F0ZXIgaG9yaXpvbiBvaWwgc3BpbGwgZXZlbnQgKG5jZWkgYWNjZXNzaW9uIDAwNjkxMjApXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDA2OTEyMFwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzczNTM3LDFdIn0%3D/gov.noaa.nodc%3A8300037_Not%20Applicable", - "description": "Chemical, physical, phytoplankton weight, and other data were collected from the G.W. PIERCE from June 19, 1971 to September 14, 1980. Data were collected using meteorological sensors, plankton net, secchi disk, and bottle casts from the South Atlantic Ocean. Data were submitted by Skidaway Institute of Oceanography (SKIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", + "id": "gpmfltsummc3e_1", + "title": "GPM GROUND VALIDATION FLIGHT SUMMARIES AND FLIGHT TRACKS IMAGERY MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-25", + "end_date": "2011-06-02", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979141270-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979141270-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmfltsummc3e_1", + "description": "The GPM Ground Validation Flight Summaries and Flight Tracks Imagery MC3E dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides processed summaries from the University of North Dakota including sonde maps, a radar animation, parameter versus time charts, radar track graphs, and a summary including aircraft and instrument operational times. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The Flight Tracks imagery includes one animation for May 11, 2011 and the KICT 5 minute snapshots from the Real Time Mission Monitor (RTMM). This dataset is distributed with the MC3E ER-2 Navigation and the Citation Navigation datasets.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8300043_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KNORR, ALPHA HELIX and REDOUBT from 1977-06-02 to 1982-10-25 (NCEI Accession 8300043)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-06-02", - "end_date": "1982-10-25", - "bbox": "-179.9, 32.6, -32, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387866-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387866-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8300043_Not%20Applicable", - "description": "Not provided", + "id": "gpmgaugewff_1", + "title": "GPM Ground Validation Met One Rain Gauge Pairs Wallops Flight Facility (WFF) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-04-10", + "end_date": "2018-10-01", + "bbox": "-75.879, 37.4531, -75.3188, 38.3699", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980463538-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980463538-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmgaugewff_1", + "description": "The GPM Ground Validation Met One Rain Gauge Pairs Wallops Flight Facility (WFF) dataset contains rain rate data from 4 rain gauge networks located in Virginia and Maryland near the Wallops Flight Facility (WFF): Nassawadox, Pocomoke, HalfDeg and Wallops Flight Facility (WFF) Assorted Gauges. These data were collected in support of the Global Precipitation Mission (GPM) Ground Validation (GV) campaign. The Met One Rain Gauge Pairs are tipping bucket precipitation gauges which collect precipitation amounts and calculate rain rates. The dataset contains 3 products: formatted gauge tips (GAG), interpolated one-minute rain rates for a year (GMIN), and interpolated one-minute rain rates for a month (2A56). Data are available in ASCII format for the period of April 10, 2012 through October 1, 2018.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8300062_Not Applicable", - "title": "BIRDS from ALPHA HELIX from 1982-09-30 to 1982-10-15 (NCEI Accession 8300062)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-09-30", - "end_date": "1982-10-15", - "bbox": "-179.8, 56.8, -167.3, 69.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388087-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388087-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A8300062_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300075_Not Applicable", - "title": "Chemical, zooplankton, phytoplankton, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1982-09-07 to 1982-11-30 (NCEI Accession 8300075)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-09-07", - "end_date": "1982-11-30", - "bbox": "-93.9, 29.5, -93.3, 30.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388307-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388307-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8300075_Not%20Applicable", - "description": "Chemical, phytoplankton, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from September 7, 1982 to November 11, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F069- Marine Chemistry, F123- Fish Shellfish Resource, and F124- Zooplankton formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300082_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the CAPT. BRADY J in the Gulf of Mexico from (NCEI Accession 8300082)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-05-03", - "end_date": "1982-10-13", - "bbox": "-93.5, 29.7, -93.3, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388365-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388365-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVudGhpYyBvcmdhbmlzbSBkYXRhIGZyb20gdGhlIHNvdXRoIHRleGFzIG91dGVyIGNvbnRpbmVudGFsIHNoZWxmIChzdG9jcykgYW5kIHRoZSBtaXNzaXNzaXBwaSwgYWxhYmFtYSwgYW5kIGZsb3JpZGEgKG1hZmxhKSBvdXRlciBjb250aW5lbnRhbCBzaGVsZiBzdHVkaWVzIGZyb20gMTk3NC0wNS0xNiB0byAxOTc4LTAyLTIwIChuY2VpIGFjY2Vzc2lvbiA4NTAwMTc5KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjg1MDAxNzlcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NzE5NSwxXSIsInVtbSI6IltcImJlbnRoaWMgb3JnYW5pc20gZGF0YSBmcm9tIHRoZSBzb3V0aCB0ZXhhcyBvdXRlciBjb250aW5lbnRhbCBzaGVsZiAoc3RvY3MpIGFuZCB0aGUgbWlzc2lzc2lwcGksIGFsYWJhbWEsIGFuZCBmbG9yaWRhIChtYWZsYSkgb3V0ZXIgY29udGluZW50YWwgc2hlbGYgc3R1ZGllcyBmcm9tIDE5NzQtMDUtMTYgdG8gMTk3OC0wMi0yMCAobmNlaSBhY2Nlc3Npb24gODUwMDE3OSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4NTAwMTc5XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODcxOTUsMV0ifQ%3D%3D/gov.noaa.nodc%3A8300082_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the CAPT. BRADY J and CAJUN SPECIAL in the Gulf of Mexico from 03 May 1982 to 13 October 1982. Data were submitted by the Mcneese State University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300103_Not Applicable", - "title": "Bathythermograph (XBT) data from US Navy ships of opportunity and other platforms: 06 June 1974 to 12 November 1974 (NCEI Accession 8300103)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-06-06", - "end_date": "1980-11-12", - "bbox": "100, -40.3, 50, 76.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388464-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388464-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8300103_Not%20Applicable", - "description": "Temperature profile data were collected using XBT casts from the AFRICAN COMET and other platforms in the Pacific Ocean, Indian Ocean, Atlantic Ocean, and more locations. Data were collected from 06 June 1974 to 12 November 1980. Data were collected by the US Navy; Ships of Opportunity and Farrell Lines with support from the Gulf of Mexico NOAA/NMFS Ships of Opportunity (SOOP) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300104_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from COLUMBUS ISELIN from 1979-03-03 to 1981-11-06 (NCEI Accession 8300104)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-03-03", - "end_date": "1981-11-06", - "bbox": "-79, -2.3, 53.4, 28.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388477-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388477-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGFscGhhIGhlbGl4IGluIHRoZSBndWxmIG9mIGFsYXNrYSBmcm9tIDE5ODctMDMtMTcgdG8gMTk4Ny0wMy0xOCAobmNlaSBhY2Nlc3Npb24gODcwMDE0NSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4NzAwMTQ1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODczMjcsMV0iLCJ1bW0iOiJbXCJjbG91ZCBhbW91bnQvZnJlcXVlbmN5LCBuaXRyYXRlIGFuZCBvdGhlciBkYXRhIGZyb20gYWxwaGEgaGVsaXggaW4gdGhlIGd1bGYgb2YgYWxhc2thIGZyb20gMTk4Ny0wMy0xNyB0byAxOTg3LTAzLTE4IChuY2VpIGFjY2Vzc2lvbiA4NzAwMTQ1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjg3MDAxNDVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NzMyNywxXSJ9/gov.noaa.nodc%3A8300104_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300131_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MITO MARU, NANAO-MARU and other platforms from 1963-11-27 to 1982-06-05 (NCEI Accession 8300131)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1963-11-27", - "end_date": "1982-06-05", - "bbox": "-14.2, -68.4, 179.7, 67.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388608-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388608-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8300131_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300138_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1982-09-01 to 1982-12-01 (NCEI Accession 8300138)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-09-01", - "end_date": "1982-12-01", - "bbox": "-96.2, -29.5, -91, 29.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388636-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388636-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8300138_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300152_Not Applicable", - "title": "Chemical and bathythermograph data from moored current meter casts and other instruments from NOAA Ship Researcher and other platforms in the Gulf of Mexico with support from the Brine Disposal project, 1981-05-19 to 1983-04-12 (NCEI Accession 8300152)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-05-19", - "end_date": "1983-04-12", - "bbox": "-93.6, 25.1, -72.9, 30.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388703-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388703-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8300152_Not%20Applicable", - "description": "Chemical and bathythermograph data were collected using moored current meter casts and other instruments from NOAA Ship RESEARCHER and CAPT. BRADY J in the Gulf of Mexico from May 19, 1981 to April 12, 1983. Data were submitted by RAYTHEON CO. as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry format and Universal Bathythermograph Output (UBT) format. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The UBT file format is used for temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Standard XBTs can obtain profiles at depths of about 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Cruise information, position, date, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Unlike the MBT data file, in which temperature values are recorded at uniform 5m intervals, the XBT Data File contains temperature values at non-uniform depths. These depths are at a minimum number of points (\"inflection points\") required to record the temperature curve to an acceptable degree of accuracy. On output, however, the user may request temperature values either at inflection points or interpolated to uniform depth increments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300168_Not Applicable", - "title": "BIRDS from ALPHA HELIX from 1982-07-26 to 1982-08-08 (NCEI Accession 8300168)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-07-26", - "end_date": "1982-08-08", - "bbox": "-169.5, 54.7, -162.9, 57.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384655-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384655-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A8300168_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8300195_Not Applicable", - "title": "Chemical, physical, phytoplankton biomass, and other data were collected using plankton net as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1971-06-19 to 1977-06-15 (NCEI Accession 8300195)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-06-19", - "end_date": "1977-06-15", - "bbox": "-130, 30, -120, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384727-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384727-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8300195_Not%20Applicable", - "description": "Chlorophyll A and Phaeophytin A data collected by various ships in Monterey Bay, California. The data were collected from June 19, 1971 to June 15, 1977 as part of California Cooperative Fisheries Investigations (CALCOFI) project. The original data were recorded in ASCII and submitted on an unlabeled 9-track 1600 BPI magnetic tape. The documentation includes a record format description and title pages of technical reports associated with this investigation. Principal Investigator was Dr. Mary Silver. The study was carried out by University of California at Santa Cruz, Monterey Bay, California.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400043_Not Applicable", - "title": "Benthic organisms collected using sediment sampler from the EXCELLENCE and other platforms in the Gulf of Mexico from 1981-12-09 to 1985-08-26 (NCEI Accession 8400043)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-12-09", - "end_date": "1985-08-26", - "bbox": "-95.3, 28.7, -93.3, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384920-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384920-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmVudGhpYyBvcmdhbmlzbSBkYXRhIGZyb20gdGhlIHNvdXRoIHRleGFzIG91dGVyIGNvbnRpbmVudGFsIHNoZWxmIChzdG9jcykgYW5kIHRoZSBtaXNzaXNzaXBwaSwgYWxhYmFtYSwgYW5kIGZsb3JpZGEgKG1hZmxhKSBvdXRlciBjb250aW5lbnRhbCBzaGVsZiBzdHVkaWVzIGZyb20gMTk3NC0wNS0xNiB0byAxOTc4LTAyLTIwIChuY2VpIGFjY2Vzc2lvbiA4NTAwMTc5KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjg1MDAxNzlcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NzE5NSwxXSIsInVtbSI6IltcImJlbnRoaWMgb3JnYW5pc20gZGF0YSBmcm9tIHRoZSBzb3V0aCB0ZXhhcyBvdXRlciBjb250aW5lbnRhbCBzaGVsZiAoc3RvY3MpIGFuZCB0aGUgbWlzc2lzc2lwcGksIGFsYWJhbWEsIGFuZCBmbG9yaWRhIChtYWZsYSkgb3V0ZXIgY29udGluZW50YWwgc2hlbGYgc3R1ZGllcyBmcm9tIDE5NzQtMDUtMTYgdG8gMTk3OC0wMi0yMCAobmNlaSBhY2Nlc3Npb24gODUwMDE3OSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4NTAwMTc5XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODcxOTUsMV0ifQ%3D%3D/gov.noaa.nodc%3A8400043_Not%20Applicable", - "description": "Benthic organisms were collected using sediment sampler casts from the EXCELLENCE and other platforms in the Gulf of Mexico from 09 December 1981 to 26 August 1985. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400101_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ACANIA in the NE Pacific from 1982-03-08 to 1982-08-14 (NCEI Accession 8400101)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-03-08", - "end_date": "1982-08-14", - "bbox": "-127.3, 36, -123, 40.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385609-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385609-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8400101_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400119_Not Applicable", - "title": "Chemical, benthic organisms, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Gulf of Mexico North Continental Slope Study (MNCSS) project, 1983-11-11 to 1984-11-13 (NCEI Accession 8400119)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-11-11", - "end_date": "1984-11-13", - "bbox": "-90.3, 26.9, -89.5, 28.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385714-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385714-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8400119_Not%20Applicable", - "description": "Chemical, benthic organisms, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from November 11, 1983 to November 13, 1984. Data were submitted by Alaska Research Assosicates, INC. as part of the Gulf of Mexico North Continental Slope Study (MNCSS) project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F123 Fish Shellfish Resource, and F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400121_Not Applicable", - "title": "Ancillary hydrographic data from the Coastal Ocean Dynamics Experiments from 1981-04-20 to 1982-08-19 (NCEI Accession 8400121)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-04-20", - "end_date": "1982-08-19", - "bbox": "-126.7, 38, -123.2, 39.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385734-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385734-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8400121_Not%20Applicable", - "description": "Temperature profile and pressure data were collected using CTD from the R.V. WECOMA in the coastal waters of California from 20 April 1981 to 19 August 1982. Data were submitted by Oregon State University with support from the Coastal Ocean Dynamics Experiments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400151_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1984-05-07 to 1984-06-09 (NCEI Accession 8400151)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-05-07", - "end_date": "1984-06-09", - "bbox": "-150.3, 58, -147.8, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385819-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385819-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8400151_Not%20Applicable", - "description": "Not provided", + "id": "gpmgoes13gcpexB_1", + "title": "GPM GROUND VALIDATION GOES 13 VISIBLE AND INFRARED IMAGES GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-01", + "end_date": "2012-03-14", + "bbox": "-120, -90, -20, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981574739-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981574739-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmgoes13gcpexB_1", + "description": "The GPM Ground Validation GOES 13 Visible and Infrared Images GCPEx dataset was produced and archived in near real time at the Global Hydrology Resource Center throughout the GPM Cold-Season Precipitation Experiment (GCPEx). These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between January 1, 2012 and March 13, 2012 at 15 minute intervals. The GPM Ground Validation GOES-13 Visible and Infrared Images dataset files are available in PNG format and contain images over the MC3E campaign area.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:8400184_Not Applicable", - "title": "BATHYTHERMOGRAPH (XBT) from multiple German platforms from 19730101 to 19831231 (NCEI Accession 8400184)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-01-01", - "end_date": "1983-12-31", - "bbox": "-62.116667, -27.7, 19.983333, 68.45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385948-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385948-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8400184_Not%20Applicable", - "description": "Ocean Station Data and Bathythermograph (XBT) data were collected from Helgoland Biological Stations using multiple German ships (ANTON DOHRN, GAUSS, FRIEDRICH HEINCKE, WALTHER HERWIG, METEOR, POSEIDON and SOLEA). The data was collected between January 1, 1973 to December 31, 1983 by Helgoland Biological Stations, Deutsches Hydrographische Institut, and Deutsches Ozeanographisches Datenzentrum.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400196_Not Applicable", - "title": "Bathythermograph (XBT) data from US Navy Ships of Opportunity in the Northeast Atlantic Ocean: 19800530 to 19800611 (NCEI Accession 8400196)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-05-30", - "end_date": "1980-06-11", - "bbox": "-14.1, 35.9, -7.6, 45.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386021-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386021-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8400196_Not%20Applicable", - "description": "Temperature profile data were collected using XBT casts in the Northeast Atlantic Ocean from 30 May 1980 to 11 June 1980. Data were collected by the US Navy; Ships of Opportunity with support from the Gulf of Mexico NOAA/NMFS Ships of Opportunity (SOOP) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400200_Not Applicable", - "title": "Benthic organisms and phytoplankton collected using net and sediment sampler casts from the CAPT. BRADY J and other platforms in Gulf of Mexico from 1982-10-10 to 1983-11-30 (NCEI Accession 8400200)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-10-10", - "end_date": "1983-11-30", - "bbox": "-95.3, 28.7, -93.3, 30", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386032-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386032-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8400200_Not%20Applicable", - "description": "Benthic organisms and phytoplankton were collected using sediment sampler and net casts in the Gulf of Mexico. Data were submitted by Texas A&M University with support from the Brine Disposal project. Data were collected from the CAPT. BRADY J and other platforms from 10 October 1982 to 30 November 1983. Data has been been processed by NODC to the NODC standard F028- Phytoplankton F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400235_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX, REDOUBT and AMAK from 1982-12-01 to 1984-07-12 (NCEI Accession 8400235)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-12-01", - "end_date": "1984-07-12", - "bbox": "-172.9, 55, -130.4, 65.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386195-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386195-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8400235_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8400238_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1984-05-17 to 1984-09-27 (NCEI Accession 8400238)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-05-17", - "end_date": "1984-09-27", - "bbox": "-167.1, 53.6, -147.8, 60.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386224-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386224-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8400238_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500003_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1983-10-14 to 1984-11-03 (NCEI Accession 8500003)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-10-14", - "end_date": "1984-11-03", - "bbox": "-149.7, 55, -130.4, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386294-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386294-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500003_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500006_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship FERREL from 1982-04-13 to 1982-11-02 (NCEI Accession 8500006)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-04-13", - "end_date": "1982-11-02", - "bbox": "-77, 36.9, -75, 38.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386311-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386311-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8500006_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500025_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ACONA from 1978-07-14 to 1979-06-12 (NCEI Accession 8500025)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-07-14", - "end_date": "1979-06-12", - "bbox": "-166.6, 53.8, -146.2, 61.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386413-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386413-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hsb3JvcGh5bGwsIHRlbXBlcmF0dXJlLCBkZXB0aCwgYW5kIGlycmFkaWFuY2UgZGF0YSBmcm9tIGJvdHRsZSBpbiBhIHdvcmxkLXdpZGUgZGlzdHJpYnV0aW9uIGZyb20gMjggZmVicnVhcnkgMTk2NCB0byAwMiBhcHJpbCAxOTk0IChuY2VpIGFjY2Vzc2lvbiAwMDAwMjY4KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwMDAyNjhcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MzYxOCwxXSIsInVtbSI6IltcImNobG9yb3BoeWxsLCB0ZW1wZXJhdHVyZSwgZGVwdGgsIGFuZCBpcnJhZGlhbmNlIGRhdGEgZnJvbSBib3R0bGUgaW4gYSB3b3JsZC13aWRlIGRpc3RyaWJ1dGlvbiBmcm9tIDI4IGZlYnJ1YXJ5IDE5NjQgdG8gMDIgYXByaWwgMTk5NCAobmNlaSBhY2Nlc3Npb24gMDAwMDI2OClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDAwMjY4XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzM2MTgsMV0ifQ%3D%3D/gov.noaa.nodc%3A8500025_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500048_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ASTERIAS in the North American Coastline-North from 1982-07-29 to 1983-05-06 (NCEI Accession 8500048)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-07-29", - "end_date": "1983-05-06", - "bbox": "-71.1, 41.3, -70.4, 41.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386514-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386514-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8500048_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500058_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from VENTURE and Other Platforms from 1980-10-27 to 1982-02-15 (NCEI Accession 8500058)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-10-27", - "end_date": "1982-02-15", - "bbox": "-84.3, 24.8, -82.2, 26.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386560-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386560-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8500058_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500067_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from AIRCRAFT, USS DE STEIGUER (AGOR 12) and ACANIA in the NE Pacific from 1983-02-10 to 1984-08-10 (NCEI Accession 8500067)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-02-10", - "end_date": "1984-08-10", - "bbox": "-128.1, 34.5, -121.9, 42.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386619-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386619-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500067_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500069_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1985-03-26 to 1985-03-28 (NCEI Accession 8500069)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-03-26", - "end_date": "1985-03-28", - "bbox": "-149.7, 59.5, -148.8, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386628-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386628-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500069_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500070_Not Applicable", - "title": "BIRDS from ALPHA HELIX from 1982-07-13 to 1983-08-15 (NCEI Accession 8500070)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-07-13", - "end_date": "1983-08-15", - "bbox": "-177, 53.2, -166.1, 63.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386642-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386642-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A8500070_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500125_Not Applicable", - "title": "Benthic organism collected using sediment sampler, BT, and bottle casts from the EASTWARD and other platforms in Georges' Bank from 1981-07-10 to 1983-06-08 (NCEI Accession 8500125)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-07-10", - "end_date": "1984-06-08", - "bbox": "-71, 40.4, -66.8, 42", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386960-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386960-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8500125_Not%20Applicable", - "description": "Benthic organism were collected using sediment sampler, BT, and bottle casts from the EASTWARD and other platforms in the Georges' Bank from 10 July 1981 to 08 June 1984. Data were submitted by the Battelle Marine Research Laboratory in New England with support from Ocean Continental Shelf - Georges' Bank project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500126_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship FERREL and BLISH from 1983-06-21 to 1983-11-19 (NCEI Accession 8500126)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-06-21", - "end_date": "1983-11-19", - "bbox": "-76.7, 36.5, -75.5, 39.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386969-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386969-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8500126_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500127_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ARGO, UNDAUNTED and other platforms from 1967-01-25 to 1968-04-18 (NCEI Accession 8500127)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1967-01-25", - "end_date": "1968-04-18", - "bbox": "-126.2, -20.1, -75.7, 28.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386979-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386979-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8500127_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500176_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea - NW Coast of Alaska from 1985-07-04 to 1985-07-23 (NCEI Accession 8500176)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-07-04", - "end_date": "1985-07-23", - "bbox": "-172.3, 61, -165.4, 68.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387162-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387162-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500176_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500179_Not Applicable", - "title": "Benthic organism data from the South Texas Outer Continental Shelf (STOCS) and the Mississippi, Alabama, and Florida (MAFLA) Outer Continental Shelf studies from 1974-05-16 to 1978-02-20 (NCEI Accession 8500179)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-05-16", - "end_date": "1978-02-20", - "bbox": "-97.3, 25.6, -82.2, 30.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387195-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387195-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8500179_Not%20Applicable", - "description": "Benthic organisms data were collected using sediment sampler and net casts BELLOWS and other platforms in the Gulf of Mexico from 16 May 1974 to 20 February 1978. Data were collected and submitted by Dr. William Sackett of Texas University with support from the Outer Continental Shelf project. The data are from field sampling or surveys of bottom dwelling marine organisms in F132 format. The data provide information on species counts and species wet weight from samples collected by point sampling (grab or core) or by tow (dredge or trawl). Three operational kinds of data include: Epifauna, Infauna, and Meiofauna benthic organisms data that roughly correspond to the different sampling methods and collecting institutions that were part of this study. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Number of individual organisms or total weight of all organisms in the sample is reported for each taxonomic category identified by the researchers (often to Genus and Species taxonomic resolution).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500219_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship McARTHUR and ACANIA in the NE Pacific and Coastal Waters of California from 1985-05-20 to 1985-06-24 (NCEI Accession 8500219)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-05-20", - "end_date": "1985-06-24", - "bbox": "-130.8, 36.8, -122.1, 48.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387365-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387365-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8500219_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500224_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ATLANTIS II in the North Atlantic Ocean from 1981-08-12 to 1981-09-06 (NCEI Accession 8500224)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-08-12", - "end_date": "1981-09-06", - "bbox": "-80.1, 24.4, -13.3, 27.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387401-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387401-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8500224_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500250_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from AIRCRAFT, USS DE STEIGUER (AGOR 12) and other platforms in the NE Pacific from 1984-10-09 to 1985-09-05 (NCEI Accession 8500250)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-10-09", - "end_date": "1985-09-05", - "bbox": "-130.5, 36, -122.1, 48.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387535-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387535-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500250_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500253_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1985-08-29 to 1985-10-04 (NCEI Accession 8500253)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-08-29", - "end_date": "1985-10-04", - "bbox": "-173.5, 62.1, -163.7, 70", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387566-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387566-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500253_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500266_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from OCEANUS in the North American Coastline-North from 1983-10-19 to 1983-10-24 (NCEI Accession 8500266)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-10-19", - "end_date": "1983-10-24", - "bbox": "-71, 39.7, -67.7, 40.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387611-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387611-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8500266_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8500277_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1985-07-26 to 1985-08-22 (NCEI Accession 8500277)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-07-26", - "end_date": "1985-08-22", - "bbox": "-174.1, 60.2, -166.5, 65.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387663-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387663-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8500277_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600027_Not Applicable", - "title": "Benthic organisms collected using net casts and other instruments from the R/V VENTURE in the Gulf of Mexico from 1980-10-27 and 29 April 1984 (NCEI Accession 8600027)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-10-27", - "end_date": "1984-04-29", - "bbox": "-84.3, 24.8, -82.2, 26.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387889-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387889-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600027_Not%20Applicable", - "description": "Benthic organisms were collected using net, sediment sampler casts, and other instruments from the R/V VENTURE in the Gulf of Mexico from 27 October 1980 to 29 April 1984. Data were submitted by the Woodward - Cycle Consultant with support from the S.W. Florida Shelf project. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600033_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship McARTHUR and ONAR in the Puget Sound from 1979-08-07 to 1985-07-02 (NCEI Accession 8600033)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-08-07", - "end_date": "1985-07-02", - "bbox": "-123, 47.2, -122.3, 48.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387990-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387990-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8600033_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600044_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship McARTHUR in the Puget Sound from 1983-11-30 to 1984-04-05 (NCEI Accession 8600044)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-11-30", - "end_date": "1984-04-05", - "bbox": "-123, 47.1, -122.3, 48.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388251-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388251-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8600044_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600047_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from OCEANUS in the NW Atlantic from 1982-11-13 to 1982-11-15 (NCEI Accession 8600047)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-11-13", - "end_date": "1982-11-15", - "bbox": "-68.6, 40, -67.4, 40.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388292-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388292-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8600047_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600051_Not Applicable", - "title": "Chemical and other data collected using bottle casts from the KNORR as part of the International Decade of Ocean Exploration / from Geochemical Ocean Section Study (IDOE/GEOSECS) project, from 1972-07-12 to 1978-04-24 (NCEI Accession 8600051)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-07-21", - "end_date": "1978-04-24", - "bbox": "-80, -80, 120, 75", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388304-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388304-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600051_Not%20Applicable", - "description": "This data file contains trace chemicals reported in a format similar to SD2. These data were collected by Scripps Institute of Oceanography (SIO) from July 12, 1972 to April 24, 1978 in the Atlantic, Pacific and Indian Oceans as part of the International Decade of Ocean Exploration / Geochemical Ocean Section Study (IDOE/GEOSECS) Program. The data parameters measured were: barium, total organic carbon, deuterium, radium-226, lead-210, polonium, tritium, helium, neon, strontium-90, and cesium-137.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600114_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1974-05-29 to 1974-06-05 (NCEI Accession 8600114)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1974-05-29", - "end_date": "1974-06-05", - "bbox": "-137.5, 30.5, -117.5, 32.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388619-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388619-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8600114_Not%20Applicable", - "description": "High resolution CTD data was collected from NOAA Ship DAVID STARR JORDAN cruise 86 and other platforms. The data was collected by National Marine Fisheries Service, La Jolla from May 29 to June 5, 1974 from NE Pacific (limit-180). The data is available in F022 file format of NODC. More information regarding this file format can be obtained from the URL: http://www.nodc.noaa.gov/General/NODC-Archive/f022.html", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600134_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE from 1984-06-17 to 1985-07-14 (NCEI Accession 8600134)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-06-17", - "end_date": "1985-07-14", - "bbox": "-70.3, 41.7, -65.4, 44.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388698-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388698-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8600134_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600156_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MELVILLE and THOMAS WASHINGTON in the Philippine Sea and SE Atlantic from 1976-05-06 to 1978-12-18 (NCEI Accession 8600156)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1976-05-06", - "end_date": "1978-12-18", - "bbox": "-60.8, -52, 148.9, 32.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388834-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388834-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600156_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600163_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MATSUSHIMA, MITO MARU and other platforms in the NW Pacific from 1973-01-05 to 1985-06-06 (NCEI Accession 8600163)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-01-05", - "end_date": "1985-06-06", - "bbox": "120.8, -1.4, 161.4, 45.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388857-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388857-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600163_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600200_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1984-10-26 to 1986-03-18 (NCEI Accession 8600200)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-10-26", - "end_date": "1986-03-18", - "bbox": "-150.2, 59.1, -148.6, 60.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384906-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384906-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600200_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600204_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from METEOR in the Southern Oceans from 1980-11-19 to 1981-03-07 (NCEI Accession 8600204)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-11-19", - "end_date": "1981-03-07", - "bbox": "45, -66.2, 64.2, -48.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384915-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384915-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600204_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600219_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1986-05-28 to 1986-06-04 (NCEI Accession 8600219)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-05-28", - "end_date": "1986-06-04", - "bbox": "-169.9, 62.6, -165.4, 65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385010-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385010-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600219_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600246_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from UNKNOWN and Other Platforms From NW Atlantic (limit-40 W) from 1983-11-10 to 1986-07-30 (NCEI Accession 8600246)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-11-10", - "end_date": "1986-07-30", - "bbox": "-80.1, 19.1, -71.4, 41.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385693-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385693-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8600246_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600248_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1986-05-11 to 1986-05-17 (NCEI Accession 8600248)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-05-11", - "end_date": "1986-05-17", - "bbox": "-150.2, 56.1, -145.7, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385710-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385710-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600248_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600312_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1986-07-04 to 1986-07-25 (NCEI Accession 8600312)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-07-04", - "end_date": "1986-07-25", - "bbox": "-172.3, 62.1, -162, 69.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386073-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386073-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600312_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600335_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea - NW Coast of Alaska from 1986-08-25 to 1986-09-08 (NCEI Accession 8600335)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-08-25", - "end_date": "1986-09-08", - "bbox": "-172.3, 62.2, -164, 68.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386237-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386237-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600335_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8600343_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Bering Sea and Others from 1986-09-17 to 1986-09-25 (NCEI Accession 8600343)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-09-17", - "end_date": "1986-09-25", - "bbox": "-172.855, 64.846667, -168.666667, 66.496667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386264-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386264-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8600343_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700011_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1986-11-05 to 1986-11-14 (NCEI Accession 8700011)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-11-05", - "end_date": "1986-11-14", - "bbox": "-155.7, 54.9, -148.2, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386696-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386696-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700011_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700017_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from AIRCRAFT, USS DE STEIGUER (AGOR 12) and other platforms in the North Pacific Ocean from 1985-10-31 to 1986-08-05 (NCEI Accession 8700017)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-10-31", - "end_date": "1986-08-05", - "bbox": "-127.5, 34.9, -122, 40.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386706-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386706-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700017_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700050_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MELVILLE in the SW Atlantic from 1986-01-24 to 1986-02-19 (NCEI Accession 8700050)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-01-24", - "end_date": "1986-02-19", - "bbox": "-57.7, -52.8, -24.7, -47.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386954-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386954-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700050_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700052_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1986-12-15 to 1986-12-19 (NCEI Accession 8700052)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-12-15", - "end_date": "1986-12-19", - "bbox": "-149.5, 59.7, -146.8, 61", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386970-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386970-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700052_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700084_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea - Coastal Waters of Western Alaska from 1986-08-03 to 1986-08-22 (NCEI Accession 8700084)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-08-03", - "end_date": "1986-08-22", - "bbox": "-174.1, 60.2, -168, 65.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387090-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387090-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700084_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700115_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1987-02-17 to 1987-03-03 (NCEI Accession 8700115)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-02-17", - "end_date": "1987-03-03", - "bbox": "-155.7, 54.4, -147.9, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387232-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387232-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700115_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700145_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1987-03-17 to 1987-03-18 (NCEI Accession 8700145)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-03-17", - "end_date": "1987-03-18", - "bbox": "-149.7, 59.8, -149.4, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387327-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387327-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8700145_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700198_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KNORR and ENDEAVOR from 1985-03-19 to 1985-11-29 (NCEI Accession 8700198)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-03-19", - "end_date": "1985-11-29", - "bbox": "-59.4, 9.7, -53.6, 14.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387648-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387648-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGdpbGxpc3MgYW5kIGNvbHVtYnVzIGlzZWxpbiBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAxOTczLTAyLTAyIHRvIDE5NzMtMDMtMTEgKG5jZWkgYWNjZXNzaW9uIDc0MDA0NjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6NzQwMDQ2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzgyNjA4LDFdIiwidW1tIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGdpbGxpc3MgYW5kIGNvbHVtYnVzIGlzZWxpbiBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAxOTczLTAyLTAyIHRvIDE5NzMtMDMtMTEgKG5jZWkgYWNjZXNzaW9uIDc0MDA0NjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6NzQwMDQ2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzgyNjA4LDFdIn0%3D/gov.noaa.nodc%3A8700198_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700199_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR from 1986-10-04 to 1986-10-13 (NCEI Accession 8700199)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-10-04", - "end_date": "1986-10-13", - "bbox": "-29.9, 21.9, -21.8, 32.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387659-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387659-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8700199_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700332_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from FIXED PLATFORM and Other Platforms From Coastal Waters of California from 1975-07-01 to 1978-09-30 (NCEI Accession 8700332)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1975-07-01", - "end_date": "1978-09-30", - "bbox": "-130, 30, -110, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388500-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388500-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8700332_Not%20Applicable", - "description": "These data are part of the Southern California OCS Baseline Study funded by BLM and submitted by Science Applications, Inc. Coastal areas along southern California were sampled. Following is a list of purpose for which the study was conducted, the period when the data was collected and the type of data collected. Sampling was done from July 1, 1975 to November 6, 1977 to obtain depth, temperature and salinity profiles. During the same time period data was collected to measure the amounts of particulate organic carbon (poc), dissolved organic carbon (doc), and ATP. Analysis was done for intertidal hydrocarbon (hc) concentrations from July 1, 1975 to June 30, 1978. Fractions analyzed include aliphatic and aromatics, pristane and phytane, iso-n and branched hydrocarbons, odd/even preference, and the hexane, benzene and methane fractions. Analysis was done for benthic hydrocarbon (hc) concentrations from July 1, 1975 to November 6, 1977. Fractions analyzed include aliphatic and aromatics, pristane and phytane, iso-n and branched hydrocarbons, odd/even preference, and the hexane, benzene and methane fractions. Sampling was done to assess the trace metal concentrations from July 1, 1975 to November 6, 1978. Benthic fauna, sediments and the water column were analyzed for Ba, Cd, Cr, Cu, Fe, Ni, Pb, V, Zn and Al concentrations. Sampling was done to assess the trace metal concentrations from July 1, 1975 to November 6, 1978. Intertidal rocky and sandy fauna, and sediments were analyzed for Ba, Cd, Cr, Cu, Fe, Ni, Pb, V, Zn and Al concentrations. Benthic coastal sediments along southern California were sampled from July 1, 1975 to November 6, 1977. The analysis includes sediment age, grain size, total organic carbon (toc), total inorganic carbon (tic), total carbon (tc), calcium carbonate content and mineral composition, as well as a description of the field conditions during sampling. Identical analysis was conducted on samples collected during July 1, 1975 to June 30, 1978. Intertidal coastal sediments along southern California were sampled from July 1, 1975 to June 30, 1978. The analysis includes sediment age, grain size, total organic carbon (toc), total inorganic carbon (tic), total carbon (tc), calcium carbonate content and mineral composition, as well as a description of the field conditions during sampling. Coastal areas along southern california were sampled from July 1, 1976 to June 30, 1978 and the composition of the benthic microfauna and benthic macrofauna was analyzed. Coastal areas along southern California were sampled from July 1, 1975 to June 30, 1978. Data includes files describing the biotic/abiotic mussel community and a species dictionary as well as a description of the field conditions. Rocky coastal beaches along southern California were sampled from July 1, 1975 to June 30, 1978 and the composition of the intertidal rocky fauna was analyzed. Included in these data is a file on rocky intertidal fauna succession and a description of the field conditions. Sandy coastal beaches along southern california were sampled from uly 1, 1975 to June 30, 1978 and the composition of the sandy intertidal fauna was analyzed.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8700358_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from FIXED STATIONS From North Atlantic Ocean and Others from 1983-05-01 to 1986-07-31 (NCEI Accession 8700358)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-05-01", - "end_date": "1986-07-31", - "bbox": "-77.4, 32, 56, 41", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388624-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388624-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8700358_Not%20Applicable", - "description": "The three files contain trace metal data from North, Central and South Atlantic observed in bottom sediment samples along the East Coast Continental Slope and Rise region. Samples were collected from a large number of surveys from May 1983 to July 1986. These data were collected by National Marine Fisheries Service, Woods Hole for the US East Coast Continental Rise/Slope region. The documentation includes the field variables (including region, box core number, location, and type of metal recorded) and a listing of cruises.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800093_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from OCEANUS in the SE Atlantic from 1983-03-11 to 1983-04-01 (NCEI Accession 8800093)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-03-11", - "end_date": "1983-04-01", - "bbox": "-37, -18.7, 13, -11.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385615-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385615-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8800093_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800096_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from CAPE HATTERAS from 1984-04-14 to 1988-07-03 (NCEI Accession 8800096)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-04-14", - "end_date": "1988-07-03", - "bbox": "-81.7, 15.2, -62, 44.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385641-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385641-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8800096_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800101_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1988-03-04 to 1988-03-05 (NCEI Accession 8800101)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-03-04", - "end_date": "1988-03-05", - "bbox": "-149.7, 59.8, -149.6, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385668-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385668-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8800101_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800103_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from HELICOPTER in the Chukchi Sea from 1986-10-03 to 1987-04-28 (NCEI Accession 8800103)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-10-03", - "end_date": "1987-04-28", - "bbox": "-156.1, 69.8, -140.9, 72.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385688-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385688-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8800103_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800123_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1988-04-04 to 1988-04-18 (NCEI Accession 8800123)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-04-04", - "end_date": "1988-04-18", - "bbox": "-159.2, 51.6, -144.9, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385833-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385833-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8800123_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800135_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DELAWARE II in the NW Atlantic and North Atlantic Ocean from 1986-11-05 to 1988-01-30 (NCEI Accession 8800135)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-11-05", - "end_date": "1988-01-30", - "bbox": "-75.8, 35.2, -65.8, 44.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385921-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385921-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8800135_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800192_Not Applicable", - "title": "Benthic organisms and marine toxic substances and pollutants data collected using net casts and other instruments from the GYRE and other platforms in NW Atlantic Ocean from 1983-11-11 to 1986-07-30 (NCEI Accession 8800192)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-11-11", - "end_date": "1986-07-30", - "bbox": "-77.2, 31.6, -66.2, 41", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386138-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386138-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8800192_Not%20Applicable", - "description": "Benthic organisms and marine toxic substances and pollutants were collected using net casts, sediment sampler, and other instruments from the GYRE and other platforms in NW Atlantic Ocean. Data were collected from 11 November 1983 to 30 July 1986. Data were submitted by Battelle Marine Research Laboratory in New England with support from the New England Shelf and Slope Program. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800194_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from EVERGREEN in the NW Atlantic from 1987-05-05 to 1987-05-20 (NCEI Accession 8800194)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-05-05", - "end_date": "1987-05-20", - "bbox": "-49.2, 43, -47.1, 44.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386166-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386166-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8800194_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800210_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KNORR and OCEANUS in the NW Atlantic from 1977-06-11 to 1977-08-21 (NCEI Accession 8800210)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-06-11", - "end_date": "1977-08-21", - "bbox": "-76.7, 26.1, -40.3, 41.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386244-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386244-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8800210_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800218_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from OCEANUS in the NW Atlantic from 1978-09-28 to 1979-07-31 (NCEI Accession 8800218)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-09-28", - "end_date": "1979-07-31", - "bbox": "-69.8, 30.5, -11.5, 43.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386262-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386262-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8800218_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800236_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms from 1987-07-21 to 1988-05-15 (NCEI Accession 8800236)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-07-21", - "end_date": "1988-05-15", - "bbox": "-173.3675, 0, -145.003056, 69.566667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386331-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386331-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8800236_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800279_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1988-09-14 to 1988-09-29 (NCEI Accession 8800279)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-09-14", - "end_date": "1988-09-29", - "bbox": "-159.2, 50, -144.9, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386512-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386512-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8800279_Not%20Applicable", - "description": "The University of Alaska, Institute of Marine Science is responsible for this data collected aboard the R/V Alpha Helix on cruise number HX118 between September 14, 1988 to September 29, 1988 by Dr. T.C. Royer of the Institute of Marine Science. There was a total of 77 stations in the Gulf of Alaska. The station numbers are: 1-77. Field correction for this cruise was taken from Alpha Helix cruise HX118. Field correction for the STD data was derived by comparing single bottle samples to recorded values from the STD sensors. The field correction is based on 9 samples from a total of 11 stations. The CTD data is stored in F022 format in the current NODC storage system.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8800308_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Maine from 1981-06-01 to 1983-06-15 (NCEI Accession 8800308)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-06-01", - "end_date": "1983-06-15", - "bbox": "-70.2, 41, -66.3, 44.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386609-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386609-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8800308_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900002_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1988-11-29 to 1988-12-12 (NCEI Accession 8900002)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-11-29", - "end_date": "1988-12-12", - "bbox": "-155.7, 54.5, -144.8, 60.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386693-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386693-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8900002_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900036_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from CHARLES DARWIN and Other Platforms from 1977-05-03 to 1986-10-08 (NCEI Accession 8900036)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1977-05-03", - "end_date": "1986-10-08", - "bbox": "-27.2, 18, -3.2, 54.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386842-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386842-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900036_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900105_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MELVILLE in the SW Atlantic from 1981-01-24 to 1981-03-04 (NCEI Accession 8900105)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-01-24", - "end_date": "1981-03-04", - "bbox": "-55, -61.1, -33.5, -54.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387022-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387022-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900105_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900114_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KNORR in the NE Atlantic and NW Atlantic from 1982-12-02 to 1983-02-18 (NCEI Accession 8900114)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-12-02", - "end_date": "1983-02-18", - "bbox": "-66.1, -8.7, -17.4, 27.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387087-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387087-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8900114_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900116_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1988-06-05 to 1988-10-17 (NCEI Accession 8900116)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-06-05", - "end_date": "1988-10-17", - "bbox": "-169.9, 59.8, -149.4, 70", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387097-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387097-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900116_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900139_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1989-04-06 to 1989-04-11 (NCEI Accession 8900139)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-04-06", - "end_date": "1989-04-11", - "bbox": "-149.5, 59.5, -146, 61.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387220-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387220-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900139_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900192_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Prince William Sound (Gulf of Alaska) from 1989-05-05 to 1989-05-11 (NCEI Accession 8900192)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-05-05", - "end_date": "1989-05-11", - "bbox": "-159.149722, 4.266667, -144.989722, 61.516667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387509-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387509-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900192_Not%20Applicable", - "description": "The University of Alaska, Institute of Marine Science is responsible for this data collected aboard the R/V Alpha Helix on cruise number HX123 between May 5, 1989 to May 11, 1989 by Dr. R.T. Cooney of the Institute of Marine Science. There was a total of 51 stations in the Prince William sound area. The station numbers are: 2-52. These data were collected for the Exxon Oil Spill Monitoring Program. Funding was provided by the State of Alaska. This data was submitted to NODC earlier. This data set represents a resubmission due to fact that the earlier version had the wrong offsets applied. Field correction for the STD data was derived by comparing single bottle samples to recorded values from the STD sensors. The field correction is based on 15 samples from a total of 16 stations. The field corrections are: 3000 m CTD temperature mean (Nansen-STD) is 0.00536 and 3000 m CTD salinity mean (Nansen-STD) is -0.04131.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900206_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NW Atlantic from 1985-04-11 to 1985-04-28 (NCEI Accession 8900206)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-04-11", - "end_date": "1985-04-28", - "bbox": "-65.7, 16.5, -62.9, 42.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387570-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387570-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8900206_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900235_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1989-06-20 to 1989-08-16 (NCEI Accession 8900235)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-06-20", - "end_date": "1989-08-16", - "bbox": "-89.4, 28, -87.6, 29.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387719-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387719-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIG5vYWEgc2hpcCBtaWxsZXIgZnJlZW1hbiBpbiB0aGUgbmUgcGFjaWZpYyBmcm9tIDE5OTEtMDQtMDIgdG8gMTk5MS0xMC0wNSAobmNlaSBhY2Nlc3Npb24gOTIwMDAzMClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo5MjAwMDMwXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY2NDQsMV0iLCJ1bW0iOiJbXCJjbG91ZCBhbW91bnQvZnJlcXVlbmN5LCBuaXRyYXRlIGFuZCBvdGhlciBkYXRhIGZyb20gbm9hYSBzaGlwIG1pbGxlciBmcmVlbWFuIGluIHRoZSBuZSBwYWNpZmljIGZyb20gMTk5MS0wNC0wMiB0byAxOTkxLTEwLTA1IChuY2VpIGFjY2Vzc2lvbiA5MjAwMDMwKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjkyMDAwMzBcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjY0NCwxXSJ9/gov.noaa.nodc%3A8900235_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900240_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1989-07-09 to 1989-07-30 (NCEI Accession 8900240)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-07-09", - "end_date": "1989-07-30", - "bbox": "-172.2, 54, -163.4, 68.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387737-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387737-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900240_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900269_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KNORR in the Black Sea from 1988-04-21 to 1988-07-27 (NCEI Accession 8900269)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-04-21", - "end_date": "1988-07-27", - "bbox": "28.9, 40.6, 41.4, 43.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387892-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387892-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A8900269_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900273_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship MT. MITCHELL in the NW Atlantic from 1989-02-15 to 1989-02-22 (NCEI Accession 8900273)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-02-15", - "end_date": "1989-02-22", - "bbox": "-74.7, 36.7, -74.1, 37", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387902-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387902-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8900273_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900277_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from FIXED PLATFORM, FIVE FATHOM BANK L/S and DAVIDSON in the Puget Sound from 1985-03-25 to 1987-09-10 (NCEI Accession 8900277)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-03-25", - "end_date": "1987-09-10", - "bbox": "-122.8, 47.2, -122.3, 48.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387912-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387912-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A8900277_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900284_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1989-09-02 to 1989-09-23 (NCEI Accession 8900284)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-09-02", - "end_date": "1989-09-23", - "bbox": "-172.2, 54.1, -166.3, 72.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388019-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388019-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900284_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:8900299_Not Applicable", - "title": "Benthic organisms data collected using sediment sampler casts from NOAA Ship OCEANOGRAPHER in the Chukchi Sea from 1986-09-06 to 1987-10-05 (NCEI Accession 8900299)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-09-06", - "end_date": "1987-10-05", - "bbox": "-169, 62.4, -162, 68.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388275-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388275-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A8900299_Not%20Applicable", - "description": "Benthic organisms data were collected using sediment sampler casts from NOAA Ship OCEANOGRAPHER in the Chukchi Sea from 06 September 1986 to 05 October 1987. Data were submitted by the University of Alaska - Fairbanks, Institute of Marine Science. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000025_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1989-11-11 to 1989-11-18 (NCEI Accession 9000025)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-11-11", - "end_date": "1989-11-18", - "bbox": "-97.1, 25.3, -93.6, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388382-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388382-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9000025_Not%20Applicable", - "description": "The data were collected by Texas A&M University, College Station under a program sponsored by grant MMS # 14-35-0001-30501 to Dr. Douglas C. Biggs. The physical profile data were collected in Gulf of Mexico from Ship Gyre between November 11-18, 1989. Originator's data were submitted by Dr. David Murphy in tapes that have been processed by NODC. The data is available in F022-CTD Hi resolution, C116 Bathythermograph XBT and C100 Ocean-Station Data format.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000038_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1989-08-19 to 1989-11-10 (NCEI Accession 9000038)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-08-19", - "end_date": "1989-11-10", - "bbox": "-89.6, 27.9, -87.8, 29.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388443-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388443-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000038_Not%20Applicable", - "description": "The high resolution Conductivity, Temperature and Depth (CTD) data were collected by NOAA Ship WHITING from NW Atlantic (limit-40 W). The data was collected over a three month period spanning from August 19, 1989 to November 10, 1989 by National Ocean Service (NOS) Rockville, MD.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000045_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from CHARLES DARWIN in the Arabian Sea and Indian Ocean from 1986-12-20 to 1987-08-14 (NCEI Accession 9000045)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-12-20", - "end_date": "1987-08-14", - "bbox": "40, -4.1, 64.7, 23.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388475-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388475-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000045_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) data with oxygen was collected off of Indian Ocean and Arabian Sea using Charles Darwin ship as part of Monsoon And Sea-Air Interaction (MASAI) project conducted between December 1986 and August 1987. The data was submitted by Dr. Donald B. Olson of Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami, FL. The originator's data has been processed by NODC and is available in C100 Ocean Station Data format and F-022 hi resolution CTD data.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000080_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from A. V. HUMBOLDT from 1971-04-13 to 1971-06-12 (NCEI Accession 9000080)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1971-04-13", - "end_date": "1971-06-12", - "bbox": "-20, 11, -15.2, 26.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388593-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388593-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9000080_Not%20Applicable", - "description": "The water depth and other data available in this accession was scanned from a publication. The data was submitted by Deutsche Akademe der Wissenschaften zu Berlin. The data was collected from ship A. V. Humboldt between April 13 to June 12, 1971.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000100_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DELAWARE II, NOAA Ship ALBATROSS IV and other platforms in the NW Atlantic from 1986-06-19 to 1989-12-15 (NCEI Accession 9000100)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-06-19", - "end_date": "1989-12-15", - "bbox": "-74.1, 36.7, -65.4, 43.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388676-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388676-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9000100_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD); and other data were collected from eleven cruises conducted using four different ships from NW Atlantic (limit-40 W). The data was collected by National Marine Fisheries Service, Woods Hole, MA over a three year period spanning from June 19, 1986 to December 15, 1989. Originator's data submitted in a tape by Dr. David Mountain has been processed by NODC and is currently available in F022 file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000114_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1990-02-27 to 1990-04-06 (NCEI Accession 9000114)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-02-27", - "end_date": "1990-04-06", - "bbox": "-74.7, 36.3, -73, 37.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388708-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388708-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000114_Not%20Applicable", - "description": "The data in this accession was collected using a SEACAT Conductivity and Temperature recorder to measure Conductivity, Temperature and Depth (CTD) using NOAA Ship Whiting to collect data from NW Atlantic (limit-40 W). The data was collected over two month period spanning from February 27, 1990 to April 6, 1990 by National Ocean Service, Norfolk, VA. Originator's data submitted in a diskette has been processed and is available in F022-CTD Hi resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000119_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from CHARLES DARWIN from 1987-11-13 to 1987-12-16 (NCEI Accession 9000119)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-11-13", - "end_date": "1987-12-16", - "bbox": "30.3, -34.2, 114.8, -28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388728-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388728-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000119_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected. R/V Charles Darwin was used to collect data. The data consisting of 111 casts was collected over one month period spanning from November 13, 1987 to December 16, 1987. Data was submitted by Dr. John Toole of Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000120_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from OCEANUS in the NW Atlantic from 1983-06-15 to 1983-07-11 (NCEI Accession 9000120)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-06-15", - "end_date": "1983-07-11", - "bbox": "-71.6, 34, -54, 44.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388737-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388737-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000120_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected. R/V Oceanus was used to collect data. The data was collected from 76 stations over one month period spanning from June 15, 1983 to July 11, 1983 in NW Atlantic (limit-40 W). Data was submitted by Dr. Nelson Hogg of Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA in a tape. The originator's data has been processed by NODC and is currently available in F022-CTD Hi resolution file format.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000136_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NE Atlantic from 1986-05-03 to 1986-05-18 (NCEI Accession 9000136)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-05-03", - "end_date": "1986-05-18", - "bbox": "-33.2, 28.6, -27.6, 34", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388798-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388798-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000136_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected using R/V Endeavor from NE Atlantic (limit-40 W). The data was collected over a 15 day period spanning from May 3 to May 18, 1986 by Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. Data was submitted by Dr. Terry Joyce. The data has been processed and is available in F022-CTD Hi resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000151_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the North American Coastline-North from 1990-04-20 to 1990-06-28 (NCEI Accession 9000151)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-04-20", - "end_date": "1990-06-28", - "bbox": "-76, 36.3, -74.3, 37.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388853-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388853-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIG5vYWEgc2hpcCBtaWxsZXIgZnJlZW1hbiBpbiB0aGUgbmUgcGFjaWZpYyBmcm9tIDE5OTEtMDQtMDIgdG8gMTk5MS0xMC0wNSAobmNlaSBhY2Nlc3Npb24gOTIwMDAzMClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo5MjAwMDMwXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY2NDQsMV0iLCJ1bW0iOiJbXCJjbG91ZCBhbW91bnQvZnJlcXVlbmN5LCBuaXRyYXRlIGFuZCBvdGhlciBkYXRhIGZyb20gbm9hYSBzaGlwIG1pbGxlciBmcmVlbWFuIGluIHRoZSBuZSBwYWNpZmljIGZyb20gMTk5MS0wNC0wMiB0byAxOTkxLTEwLTA1IChuY2VpIGFjY2Vzc2lvbiA5MjAwMDMwKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjkyMDAwMzBcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjY0NCwxXSJ9/gov.noaa.nodc%3A9000151_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected using SEACAT recorders from North American Coast line. NOAA Ship Whiting was used to collect data. The data was collected over a three month period spanning from April 20, 1990 to June 28, 1990 by National Ocean Service, Norfolk, VA. Data was submitted in one diskette of \"SEACAT\" CTD data. The data has been processed and is currently available in F022 CTD high resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000162_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KOMET, UNKNOWN PLATFORMS and other platforms in the NE Atlantic from 1936-06-30 to 1976-01-27 (NCEI Accession 9000162)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1936-06-30", - "end_date": "1976-01-27", - "bbox": "-71.5, -65, 52.5, 80.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388865-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388865-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9000162_Not%20Applicable", - "description": "Data collected by German Vessels between 1936 and 1974 was received from the German Data Center (DOD). The data include temperature and salinity data collected by German ships in the North-East Atlantic. Associated station and bathythermograph data has been processed by NODC. Station Data is available in C100 Ocean Station Data File format. Bathythermograph data is available in C116 XBT and C128 MBT file formats. Anton Dohrn cruise data was collected between January 8 and January 27, 1976. The data is stored in file L01196.001. Meteor cruise data was collected between August 27 and Sptember 21, 1974. The data is stored in file L01197.001.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000179_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship MT. MITCHELL in the Gulf of Mexico and NW Atlantic from 1989-05-03 to 1989-11-19 (NCEI Accession 9000179)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-05-03", - "end_date": "1989-11-19", - "bbox": "-91.1, 25.9, -74.7, 35.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388889-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388889-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000179_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected using NOAA Ship Mt. Mitchell from NW Atlantic (limit-40 W) and Gulf of Mexico. The data containing 22 casts was collected over a six month period spanning from May 3, 1989 to November 19, 1989 using the SEACAT CTD recorder by WHOI. Data was submitted by National Ocean Service (NOS), Rockville, MD in five diskettes. The data has been processed by NODC and is available in F022-CTD Hi Resolution file format of NODC.", + "id": "gpmgoes13iphxB_1", + "title": "GPM Ground Validation GOES 13 Visible and Infrared Images IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-16", + "bbox": "-165, -90, 15, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980470811-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980470811-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmgoes13iphxB_1", + "description": "The GPM Ground Validation GOES 13 Visible and Infrared Images IPHEx dataset contains visible and infrared images in 3 sizes (FULL, CONUS, and EXT) from the GOES 13 Imager obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign that took place in the southeast region of the United States. This collection of GOES 13 images are available at 30 minute (EXT and CONUS) and 3 hour (FULL) intervals for dates between May 1, 2014 and June 16, 2014. The GPM Ground Validation GOES 13 IPHEx data files are in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9000180_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DELAWARE II and NOAA Ship ALBATROSS IV in the NW Atlantic from 1981-09-23 to 1982-09-27 (NCEI Accession 9000180)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-09-23", - "end_date": "1982-09-27", - "bbox": "-74.9, 36.8, -62.7, 43.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388894-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388894-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9000180_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Warm Core Rings project. One year data consisting of five cruises was collected from NW Atlantic (limit-40 W) using NOAA Ship Delaware II and NOAA Ship Albatross IV. The data was collected over a period spanning from September 23, 1981 to September 27, 1982. Data was submitted by National Marine Fisheries Service (NMFS), Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmgoes13mc3eB_1", + "title": "GPM GROUND VALIDATION GOES 13 VISIBLE AND INFRARED IMAGES MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-05-06", + "end_date": "2011-07-01", + "bbox": "-120, -90, -20, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981650432-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981650432-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmgoes13mc3eB_1", + "description": "The GPM Ground Validation GOES 13 Visible and Infrared Images MC3E dataset was produced and archived in near real time at the Global Hydrology Research Center throughout the GPM Midlatitude Continental Convective Clouds Experiment (MC3E). These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between May 6, 2011 and June 30, 2011 at 15 minute intervals. The GPM Ground Validation GOES-13 Visible and Infrared Images dataset files are available in PNG format and contain images over the MC3E campaign area.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9000225_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1990-07-11 to 1990-07-23 (NCEI Accession 9000225)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-07-11", - "end_date": "1990-07-23", - "bbox": "-94.7, 27.2, -88.7, 29.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384890-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384890-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9000225_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from Gulf of Mexico. R/V Gyre was used to collect data by Texas A&M University, College Station, TX. The data was collected over two week period between July 11-23, 1990. Data was submitted by Dr. Davis Murphy. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmgoes14iphxB_1", + "title": "GPM Ground Validation GOES 14 Visible and Infrared Images IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-08", + "end_date": "2014-05-24", + "bbox": "-125.395, -10.7964, 14.3952, 49.8525", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981725006-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981725006-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmgoes14iphxB_1", + "description": "The GPM Ground Validation GOES 14 Visible and Infrared Images IPHEx dataset contains visible and infrared images from the GOES 14 Imager collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in the southeast region of the United States. The GPM Ground Validation GOES 14 IPHEx dataset files are available in PNG format at 1 minute intervals, for all dates between May 8, 2014 and May 24, 2014.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9000233_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1986-08-05 to 1988-11-30 (NCEI Accession 9000233)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-08-05", - "end_date": "1988-11-30", - "bbox": "-127.4, -5.1, -77.8, 26.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384924-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384924-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9000233_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Marine Mammal Cruises. Two year data consisting of 381 casts was collected from NE Pacific (limit-180) using NOAA Ship DAVID STARR JORDAN. The data was collected over a period spanning from August 5, 1986-November 30, 1988. Data was submitted by Mr. David Behringer of Atlantic Oceanographic Meterological Laboratory, Miami, FL. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000234_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from DISCOVERY in the South Atlantic Ocean from 1987-04-22 to 1987-05-05 (NCEI Accession 9000234)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-04-22", - "end_date": "1987-05-05", - "bbox": "2, -31.8, 14.9, -26.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384932-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384932-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000234_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and Ocean Station data were collected from Lamont-Doherty Earth Observatory, Palisades, NY. Data was collected from South Atlantic Ocean using Ship Discovery . The data was collected over a period spanning from April 22, 1987 to May 5, 1987. Data was submitted by Dr. Arnold L. Gordon. Data has been processed and is available in F022-CTD-Hi Resolution and C100-Ocean-Station-Data file format respectively of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000248_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOROIT and THALASSA from 1982-04-09 to 1987-04-24 (NCEI Accession 9000248)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-04-09", - "end_date": "1987-04-24", - "bbox": "-15.1, 45.9, -2.1, 47.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384973-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384973-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9000248_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of EDYLOC project over five years using Ships Noroit and Thalassa. The data was collected over a period spanning from April, 1982 to April, 1987 during cruises Soldet Legs 1-7. Data was collected by Lamont-Doherty Earth Observatory, Palisades, NY and was submitted by Dr. Gilles Reverdin in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000275_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MARION DUFRESNE in the NE Atlantic from 1987-01-14 to 1987-02-13 (NCEI Accession 9000275)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-01-14", - "end_date": "1987-02-13", - "bbox": "18.2, -67, 84.1, -37.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385005-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385005-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9000275_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected over one month period from NE Atlantic (limit-40 W) using Ship Marion Dufresne during cruise 53. The data was collected over a period spanning from January 14, 1987 to February 13, 1987. Data was submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000276_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MARION DUFRESNE in the NE Atlantic from 1985-04-03 to 1986-05-01 (NCEI Accession 9000276)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-04-03", - "end_date": "1986-05-01", - "bbox": "39.2, -23.1, 64.3, 12.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385014-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385014-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9000276_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected over one year period from NE Atlantic (limit-40 W) using Ship Marion Dufresne during cruises 44 and 49. The data was collected over a period spanning from April 3, 1985 to May 1, 1986. Data was submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9000277_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from LE SUROIT and LE NOROIT in the NE Atlantic from 1981-10-20 to 1983-09-05 (NCEI Accession 9000277)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1981-10-20", - "end_date": "1983-09-05", - "bbox": "-49, 23.9, 6.9, 48.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385024-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385024-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9000277_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected over two year period from NE Atlantic (limit-40 W) using Ships Le Noroit and Le Suroit. The data was collected over a period spanning from October 20, 1981 to September 5, 1983. Data was submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory in two tapes. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100003_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from LE SUROIT, LE NOROIT and other platforms in the NW Atlantic from 1979-05-25 to 1980-05-24 (NCEI Accession 9100003)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-05-25", - "end_date": "1980-05-24", - "bbox": "-15.9, -2.5, 62.5, 48.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385215-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385215-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9100003_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from NW Atlantic (limit-40 W) by French using four different Ships JEAN CHARCOT, LE NOROIT, LE SUROIT and MARION DUFRESNE. The data were collected over a period spanning from May 25, 1979 to May 24, 1980. Data were submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory, Palisades, NY in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100016_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the Gulf of Mexico from 1990-07-27 to 1990-11-20 (NCEI Accession 9100016)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-07-27", - "end_date": "1990-11-20", - "bbox": "-93.6, 27.5, -87.6, 29.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385616-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385616-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100016_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other physical profile data were collected using SeaCAT sensors. The CAT in SeaCAT stands for \"Continuous Anode Technology\". Six months data were collected from Gulf of Mexico using NOAA Ship WHITING. The data were collected over a period spanning from July 27, 1990 to November 20, 1990 from 16 stations. Data were submitted by National Ocean Service, Norfolk, VA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100017_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from MULTIPLE SHIPS From Caribbean Sea and Others from 1979-02-05 to 1989-05-03 (NCEI Accession 9100017)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1979-02-05", - "end_date": "1989-05-03", - "bbox": "-98, 8, -60, 32", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385627-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385627-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9100017_Not%20Applicable", - "description": "The accession contains Chemical Abstracts Society (CAS) parameter codes and Other Data from MULTIPLE SHIPS From Caribbean Sea and Gulf of Mexico from February 5, 1979 to May 3, 1989. Floppy disks containing all the Caribbean Oil Pollution (CARIPOL) Database were submitted by J. Price of NOS. The data were originally held and quality controlled by Dr. Atwood at NOAA/AOML. The data are divided into three groupings: Beach Tar, Floating Tar and Dissolved Tar. The Beach Tar data (ref. no. L01174 02/05/79-05/03/89, 25 STATIONS, 26,413 RECORDS) was submitted by 21 different countries around the caribbean (different institutions and ships). The Dissolved Tar data (ref. no. L01175 11/29/79-11/13/88, 11 STATIONS, 7,209 RECORDS) was submitted by 11 countries, The Floating Tar data (ref. no. L01176 10/29/80-11/27/88, 9 STATIONS, 3,250 RECORDS ) by 9 countries. A description of the parameter names can be found in file structur.doc. The data are in the vax under DUA2:[LEVELA] L01174. The data was offline on May 4, 2005 when this abstract was last edited. Data should be in F144 format. NOTE: Please check the actual file format when the data is online.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100025_Not Applicable", - "title": "Cloud amount/frequency, ANIMALS - INDIVIDUAL and other data from AIRCRAFT in the Chukchi Sea from 1987-09-01 to 1988-10-16 (NCEI Accession 9100025)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-09-01", - "end_date": "1988-10-16", - "bbox": "-168.8, 64.8, -140.1, 73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385674-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385674-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9100025_Not%20Applicable", - "description": "The aerial surveys of Whales data in this accession were collected from aircraft by Don Llungblad over the Chukchi Sea between September 1987 and October 1988 by Sea World Research Institute, San Diego, CA. The data were submitted by Ms. Karen M. McClune in a tape. The data have been processed and are available in F127-Marine-Animal-Sightings file format of NODC.", + "id": "gpmgoes15olyxB_1", + "title": "GPM Ground Validation GOES 15 Visible and Infrared Images OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-05", + "end_date": "2016-05-01", + "bbox": "-132, 23, -62, 53", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981807112-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981807112-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmgoes15olyxB_1", + "description": "The GPM Ground Validation GOES 15 Visible and Infrared Images OLYMPEX dataset contains visible and infrared images from the GOES 15 Imager during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. The GOES 15 images are available for all dates between November 5, 2015 and May 1, 2016 at 15 minute intervals. The GPM Ground Validation GOES 15 OLYMPEX dataset files are available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100026_Not Applicable", - "title": "Cloud amount/frequency, ANIMALS - INDIVIDUAL and other data from AIRCRAFT in the Bering Sea from 1987-09-02 to 1988-10-20 (NCEI Accession 9100026)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-09-02", - "end_date": "1988-10-20", - "bbox": "-154, 69.6, -139.9, 72.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385684-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385684-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9100026_Not%20Applicable", - "description": "The aerial surveys of Whales data in this accession were collected from aircraft by Steve Tracey over the Bering Sea between September 1987 and October 1988 by Sea World Research Institute, San Diego, CA. The data were submitted by Ms. Karen M. McClune in a tape. The data have been processed and are available in F127-Marine-Animal-Sightings file format of NODC.", + "id": "gpmgprof2014ifld_3", + "title": "GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS V3", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-31", + "end_date": "2013-07-02", + "bbox": "-123.83, 32.0518, -59.9776, 51.9073", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979562074-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979562074-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmgprof2014ifld_3", + "description": "The GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS dataset consists of precipitation data derived from microwave radiometers and sounders located on multiple satellites, including the Defense Meteorological Satellite Program (DMSP) F16-18, the Global Change Observation Mission \u2013 Water \"Shizuku\" (GCOM-W1), the European Space Agency's (ESA\u2019s) Meteorological Operational satellite programme (MetOp) series, and NOAA's Polar Operational Environmental Satellites (POES) series. The data have been consistently processed for the Iowa Flood Studies (IFloodS) field campaign conducted in eastern Iowa during spring 2013. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The GPROF 2014 data files are available from March 31 to July 2, 2013 in HDF-5 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100027_Not Applicable", - "title": "CHLOROPHYLL A - INTEGRATED, CARBON ASSIMILATION - INTEGRATED and other data from THOMAS G. THOMPSON in the Bering Sea from 1978-04-10 to 1980-08-15 (NCEI Accession 9100027)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1978-04-10", - "end_date": "1980-08-15", - "bbox": "-169.9, 50, 160, 65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385692-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385692-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9100027_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD), Primary production and underway data were collected as part of Processes and Resources of the Bering Sea Shelf (PROBES) Project. Ship THOMAS G. THOMPSON was used to collect data from Bering Sea. The data was collected over a period spanning from April 10, 1978 to August 15, 1980 by Pacific Marine Environmental Laboratory (PMEL) Seattle, WA. Three tapes containing data files L01200 = TAPE FILES 1 - 5; L01201 = TAPE FILE 6; and A01361 W13748 were submitted. Temperature, Chlorophyll-A, PO4-P, NO3-N, NO2-N, AND SIO3-SI were measured for primary production. The data has been copied into the current NODC data storage system.", + "id": "gpmgsmapjifld_1", + "title": "GPM Ground Validation Global Satellite Mapping of Precipitation (GSMaP) IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-22", + "end_date": "2013-06-30", + "bbox": "-179.95, -59.95, 179.95, 59.95", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979566372-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979566372-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmgsmapjifld_1", + "description": "The GPM Ground Validation Global Satellite Mapping of Precipitation (GSMaP) IFloodS dataset consists of rainfall rate estimates from the GSMaP project. The GSMaP global rain rate maps are derived by a collection of algorithms that utilize microwave (MW) radiometer data and geostationary Infrared (IR) data. The GSMaP Precipitation data product is provided on a 0.1 degree spatial resolution every hour and was made available for use during the Global Precipitation Measurement (GPM) Ground Validation Iowa Flood Studies (IFloodS) field campaign. These data are available in netCDF-4 and binary formats from April 22, 2013 through June 30, 2013. The near real-time GSMaP data can be obtained from the JAXA GSMaP web page.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100028_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1990-10-01 to 1990-10-16 (NCEI Accession 9100028)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-10-01", - "end_date": "1990-10-16", - "bbox": "-96.9, 24.4, -84, 28.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385705-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385705-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9100028_Not%20Applicable", - "description": "The Ocean Station Data; the Water Depth and Temperature Data; and the Conductivity, Temperature and Depth (CTD) was collected from ship GYRE in the Gulf of Mexico by Texas A&M University, College Staion, Texas over a two week period between October 1 and October 16, 1990. The originator's data was submitted in two diskettes by Mr David J. Voegele. The data has been converted and is now available on line in C100 Ocean Station Data, C116 bathythermograph (XBT) and F022-CTD-Hi Res file format of NODC.", + "id": "gpmheifld_1", + "title": "GPM Ground Validation Hydro-Estimator IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-24", + "end_date": "2013-06-30", + "bbox": "-96.982, 39.016, -87.029, 45.998", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979572853-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979572853-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmheifld_1", + "description": "The GPM Ground Validation Hydro-Estimator IFloodS dataset contains rainfall rate estimates derived using NOAA\u2019s Geostationary Operational Environmental Satellites (GOES) infrared (IR) brightness temperature data by researchers at the NOAA Center of Satellite Applications and Research\u2019s (STAR) using the Hydro-Estimator (H-E) algorithm. Rainfall rate estimates are produced every 15 minutes throughout the continental United States, but for this dataset, have been subset to the Iowa region for the Iowa Flood Studies (IFloodS) field campaign in support of Global Precipitation Measurement (GPM) ground validation. These data are available in netCDF-3 format and consist of rain rate values from April 25, 2013 through June 30, 2013.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100039_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the Gulf of Maine from 1989-05-18 to 1989-06-11 (NCEI Accession 9100039)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-05-18", - "end_date": "1989-06-11", - "bbox": "-70, 41, -68.1, 42.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385766-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385766-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100039_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) data were collected as part of Southern Coastal Plains Expedition (SCOPE) project. One month data was collected from Gulf of Maine using ship Endeavor. The data was collected over a period spanning from May 18, 1989 to June 11, 1989. Data was submitted on a floppy disk containing 199 CTD files by Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmheiphx_1", + "title": "GPM Ground Validation Hydro-Estimator IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-16", + "bbox": "-91.736, 27.897, -71.793, 42.921", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979596455-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979596455-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmheiphx_1", + "description": "The GPM Ground Validation Hydro-Estimator IPHEx dataset contains rainfall rate estimates derived using NOAA\u2019s Geostationary Operational Environmental Satellites (GOES) infrared (IR) brightness temperature data by researchers at the NOAA Center of Satellite Applications and Research\u2019s (STAR) using the Hydro-Estimator (H-E) algorithm. Rainfall rate estimates are produced every 15 minutes throughout the continental United States, but for this dataset, have been subset to the North Carolina region for the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in support of Global Precipitation Measurement (GPM) ground validation. These data are available in netCDF-4 format and consists of rain rate values from May 1, 2014 through June 16, 2014.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100040_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from COLUMBUS ISELIN in the NW Atlantic from 1989-08-04 to 1989-08-13 (NCEI Accession 9100040)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-08-04", - "end_date": "1989-08-13", - "bbox": "-51, -0.1, -46.5, 4.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385773-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385773-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100040_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) data were collected as part of Amazon Shelf Sediment Study (AMASSEDS) project. Data was collected from NW Atlantic (limit-40 W) using ship COLUMBUS ISELIN. The data was collected over a 10 day period between August 4 to August 13, 1989. Data was submitted on a floppy disk containing 86 CTD files by Dr. Richard Limeburner, Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmhiwrapiphx_1", + "title": "GPM GROUND VALIDATION HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-03", + "end_date": "2014-06-12", + "bbox": "-86.5619, 26.7992, -71.9384, 36.6426", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979602587-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979602587-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmhiwrapiphx_1", + "description": "The GPM Ground Validation High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IPHEx dataset was collected during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The NASA ER-2 aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments, including the HIWRAP, onboard the aircraft acted as a proxy for GPM satellite instruments. HIWRAP is a Doppler radar that combines conical scan mode measurements at two different frequency bands (Ka- and Ku-band) and two different incidence angles (30 and 40 degrees). Twenty-one ER-2 flights occurred from May 1, 2014 through June 14, 2014. The HIWRAP dataset includes netCDF-4 files containing radar reflectivity and Doppler velocity profiles along with aircraft altitude and other navigation information.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100042_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1990-09-11 to 1990-12-16 (NCEI Accession 9100042)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-09-11", - "end_date": "1990-12-16", - "bbox": "-149.5, 58.2, -147.6, 60.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385781-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385781-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100042_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) data were collected from Gulf of Alaska using Ship ALPHA HELIX during three cruises HX14-HX145. The data was collected over a period spanning from September 11, 1990 to December 16, 1990. Data on a tape containing 148 station ovservations was submitted by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmhiwrapmc3e_1", + "title": "GPM GROUND VALIDATION HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-25", + "end_date": "2011-05-29", + "bbox": "-104.972, 28.1943, -91.8186, 41.8754", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979605470-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979605470-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmhiwrapmc3e_1", + "description": "The GPM Ground Validation High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) MC3E dataset was collected by the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ka- and Ku-band) conical scan system, configured with a nadir viewing antenna on the high-altitude (20 km) NASA ER-2 aircraft. It provides calibrated reflectivity and unfolded Doppler velocity. The GPM Ground Validation High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) MC3E dataset consists of netCDF (.nc) files and images (.gif). Measurements included within the data files are merged pulse and chirp radar reflectivity profiles at 13.9 and 33.7 GHz.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100078_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from CAPRICORNE and MARION DUFRESNE in the NE Atlantic from 1982-07-06 to 1987-10-30 (NCEI Accession 9100078)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-07-06", - "end_date": "1987-10-30", - "bbox": "-42.7, -65.1, 84.1, 33.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385950-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385950-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100078_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Seasonal Equatorial Atlantic (SEQUAL) project. Data was collected from NE Atlantic (limit-40 W) using ships CAPRICORNE and MARION DUFRESNE. The data was collected over a period spanning from July 6, 1982 to October 30 1987. Replacement for damaged tape containing French CTD data was submitted by Dr. Gilles Reverdin, Lamont-Doherty Earth Observatory, Palisades, NY. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmhiwrapolyx_1a", + "title": "GPM Ground Validation High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) OLYMPEX V1a", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-10", + "end_date": "2015-12-12", + "bbox": "-130.045, 34.1576, -117.774, 48.8322", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979605662-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979605662-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmhiwrapolyx_1a", + "description": "The GPM Ground Validation High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) OLYMPEX dataset consists of Doppler velocity and reflectivity profiles collected by the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) onboard the NASA ER-2 high-altitude research aircraft during the Global Precipitation Measurement mission (GPM) Ground Validation Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. HIWRAP is a Doppler radar that combines conical scan mode measurements at two different frequency bands (Ka- and Ku-band) and two different incidence angles (30 and 40 degrees) to obtain profiles of wind and rain. These Level 1B HIWRAP data files are available from November 10 through December 12, 2015 in netCDF-3 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100079_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from COLUMBUS ISELIN in the NW Atlantic from 1990-11-22 to 1990-12-01 (NCEI Accession 9100079)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-11-22", - "end_date": "1990-12-01", - "bbox": "-46.1, 1.9, -43.9, 9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385958-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385958-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100079_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Office of Naval Research (ONR). CTD Data was collected from NW Atlantic (limit-40 W). Replacement data is provided for data collected using Ship CONRAD between May and June 1988. New data was collected using ship COLUMBUS ISELIN over a period spanning from November 22, 1990 to December 1, 1990. Data was submitted by Dr. Eli Katz, Lamont-Doherty Earth Observatory, Palisades, NY. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmikalpvex_1", + "title": "GPM Ground Validation C-band Ikaalinen (IKA) Radar LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-10-19", + "end_date": "2010-10-19", + "bbox": "18.33, 59.522, 27.83, 64.012", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569684-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569684-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmikalpvex_1", + "description": "The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Ikaalinen (IKA) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Ikaalinen C-Band Radar data files are available in RAW and UF format for October 19, 2010.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100080_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship MT. MITCHELL from 1990-04-17 to 1990-11-29 (NCEI Accession 9100080)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-04-17", - "end_date": "1990-11-29", - "bbox": "-92.7, 26.1, -73.7, 37.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385968-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385968-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100080_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected during sixteen casts using NOAA Ship MT. MITCHELL. The data was collected over a period spanning from April 17, 1990 to November 29, 1990. Data was submitted by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100081_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MELVILLE and WESTWIND in the Southern Oceans from 1983-11-09 to 1983-12-02 (NCEI Accession 9100081)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1983-11-09", - "end_date": "1983-12-02", - "bbox": "-40.6, -62.8, -36.3, -57.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385978-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385978-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9100081_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Antarctic Marine Ecosystem Analysis at the Ice Edge Zone (AMERIEZ) project. Data was collected from Southern Oceans (> 60 degrees South) using Ships WESTWIND and MELVILLE. The data was collected over a period spanning from November 9, 1983 to December 2, 1983. Data was submitted by Dr. Robin D. Muench, Science Applications, Inc., Bellevue, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100092_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1991-03-02 to 1991-03-09 (NCEI Accession 9100092)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-03-02", - "end_date": "1991-03-09", - "bbox": "-95, 23, -92.7, 28.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386035-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386035-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9100092_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and Bathythermograph (XBT) data were collected as part of Texas Institutions Gulf Ecosystem Research (TIGER) program. One week data was collected from Gulf of Mexico using Ship GYRE. The data was collected over a period spanning from March 2, 1991 to March 9, 1991. Data was collected as part ofstudy supported by grant MMS # 14-35-0001-30501 to Dr. Douglas C. Biggs and was submitted by Dr. Edward Webb of Texas A&M University, College Station, TX. Data has been processed and is available in F022-CTD-Hi Resolution and C116-Bathythermograph-XBT file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100094_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from EVERGREEN From NE Atlantic (limit-40 W) from 1986-05-01 to 1986-05-19 (NCEI Accession 9100094)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-05-01", - "end_date": "1986-05-19", - "bbox": "-33.2, 28.7, -27.7, 34", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386058-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386058-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100094_Not%20Applicable", - "description": "The data set in this accession contains 100 stations of hydrographic data collected in the northeast Atlantic, south of the Azores, aboard R/V ENDEAVOR, cruise #143. Date of the data are May 1-19, 1987. Two dissolved chlorofluorocarbons CCL3F (Freon 11) and CCL2F2 (Freon 12) were obtained at a number of stations along the cruise track. Data format: the first three columns are CTD pressures (dbar), depth (meters) and CTD temperatures (Deg C) at which each water sample was collected. These columns are followed by the water sample salinity (o/oo), dissolved oxygen (ml/l), calculated variable potential temperature (Deg C), Freon 11 (pmol/kg) and Freon 12 (pmol/kg). Missing values are indicated with -9.000. The data provided by Dr. T. Joyce, Woods Hole Oceanographic Institution.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100113_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MOANA WAVE in the TOGA Area - Pacific from 1989-02-09 to 1989-05-10 (NCEI Accession 9100113)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-02-09", - "end_date": "1989-05-10", - "bbox": "-179.7, 7.9, -85.7, 9.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386146-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386146-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9100113_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data was collected from TOGA Area - Pacific (30 N to 30 S) R/V MOANA WAVE. The data was collected over a period spanning from February 9, 1989 to May 10, 1989. Data was submitted by Harry Bryden of Woods Hole Oceanographic Institution, Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100116_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NW Atlantic from 1988-03-22 to 1988-03-31 (NCEI Accession 9100116)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-03-22", - "end_date": "1988-03-31", - "bbox": "-68.4, 36.2, -54.6, 41.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386163-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386163-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100116_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from twenty six stations in NW Atlantic (limit-40 W) using Ship ENDEAVOR. The data was collected over a one week period spanning March 22 to March 31, 1988. Data was submitted by Dr. Mindy Hall of Woods Hole Oceanographic Institution, Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmjwlpvex_1", + "title": "GPM Ground Validation Joss-Waldvogel Disdrometer (JW) LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-10", + "end_date": "2010-11-09", + "bbox": "25.072, 60.475, 25.092, 60.495", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979606207-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979606207-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmjwlpvex_1", + "description": "The GPM Ground Validation Joss-Waldvogel Disdrometer (JW) LPVEx dataset consists of precipitation drop size distribution (DSD) data collected by the Joss-Waldvogel (JW) disdrometer during the GPM Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The JW disdrometer dataset files are available in ASCII text format from September 10 through November 9, 2010.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100131_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from LITTLE DIPPER from 1991-03-28 to 1991-06-18 (NCEI Accession 9100131)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-03-28", - "end_date": "1991-06-18", - "bbox": "-149.5, 59.8, -149.3, 60.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386198-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386198-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9100131_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other time series data were collected from Resurrection Bay Area using R/V LITTLE DIPPER. The data was collected over a period spanning from March 28, 1991 to June 18, 1991. Data was submitted by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmjwnsstc_1", + "title": "GPM GROUND VALIDATION JOSS-WALDVOGEL DISDROMETER (JW) NSSTC V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-07-05", + "end_date": "2011-03-30", + "bbox": "-86.64, 34.71, -86.63, 34.72", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979607107-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979607107-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmjwnsstc_1", + "description": "The GPM Ground Validation Joss-Waldvogel Disdrometer (JW) NSSTC dataset was collected by the Joss-Waldvogel (JW) disdrometer, which is an impact-type electromechanical counter designed to measure drop size distribution (DSD). This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC), Huntsville, AL. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9100152_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from J. W. POWELL and GYRE in the Gulf of Mexico from 1991-06-10 to 1991-06-18 (NCEI Accession 9100152)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-06-10", - "end_date": "1991-06-18", - "bbox": "-97, 26.9, -94.8, 29", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386266-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386266-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGdpbGxpc3MgYW5kIGNvbHVtYnVzIGlzZWxpbiBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAxOTczLTAyLTAyIHRvIDE5NzMtMDMtMTEgKG5jZWkgYWNjZXNzaW9uIDc0MDA0NjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6NzQwMDQ2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzgyNjA4LDFdIiwidW1tIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGdpbGxpc3MgYW5kIGNvbHVtYnVzIGlzZWxpbiBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAxOTczLTAyLTAyIHRvIDE5NzMtMDMtMTEgKG5jZWkgYWNjZXNzaW9uIDc0MDA0NjIpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6NzQwMDQ2MlwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5MzgyNjA4LDFdIn0%3D/gov.noaa.nodc%3A9100152_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD); and bottle data were collected as part of Texas Institutions Gulf Ecosystem Research (TIGER) program in June 1991 under a grant MMS # 14-35-0001-30501 to Dr. Douglas C. Biggs. Ships GYRE and J. W. POWELL were used to collect data from Gulf of Mexico. The data was collected over a period spanning from June 6-18, 1991. Data was submitted by Mr. David J. Voegele of Texas A&M University, College Station, TX. Data has been processed and is currently available in C100-Ocean-Station-Data and F022-CTD-Hi-Resolution file formats of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100175_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the Straits of Florida from 1990-06-03 to 1990-06-16 (NCEI Accession 9100175)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-06-03", - "end_date": "1990-06-16", - "bbox": "-79.9, 27, -79.1, 27", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386329-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386329-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100175_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Woods Hole Oceanographic Institution Exchange format. The data was collected from Florida Straits using Ship ENDEAVOR. The data was collected over a period spanning from June 3, 1990 to June 16, 1990. Data was submitted by Dr. Michael C. Gregg, University of Washington, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100200_Not Applicable", - "title": "BACTERIA - BACTERIAL DENSITY and Other Data from FIXED STATIONS From New York Bight and Others from 1968-06-10 to 1990-12-06 (NCEI Accession 9100200)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1968-06-10", - "end_date": "1990-12-06", - "bbox": "-74, 40, -73, 41", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386392-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386392-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXVyb3JhIDE5OTMgeGJ0J3MgdGVtcGVyYXR1cmUgbWVhc3VyZW1lbnRzIGNvbGxlY3RlZCB1c2luZyB4YnQgZnJvbSBhdXJvcmEgYXVzdHJhbGlzIGluIHRoZSB0YXNtYW4gc2VhIGR1cmluZyAxOTkzIChuY2VpIGFjY2Vzc2lvbiAwMDQzMTY3KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwNDMxNjdcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjQzMSwxXSIsInVtbSI6IltcImF1cm9yYSAxOTkzIHhidCdzIHRlbXBlcmF0dXJlIG1lYXN1cmVtZW50cyBjb2xsZWN0ZWQgdXNpbmcgeGJ0IGZyb20gYXVyb3JhIGF1c3RyYWxpcyBpbiB0aGUgdGFzbWFuIHNlYSBkdXJpbmcgMTk5MyAobmNlaSBhY2Nlc3Npb24gMDA0MzE2NylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDQzMTY3XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI0MzEsMV0ifQ%3D%3D/gov.noaa.nodc%3A9100200_Not%20Applicable", - "description": "The accession contains New York City Department Harbor Survey Data from years 1968 to 1990. Station data was collected as part of the NYC Department of Environmental Protection's Harbor Survey at the Hudson River along Manhatten, New York Bight, Long Island Sound. Parameters measured were salinity, dissolved oxygen, total coliform counts/ml, and fecal coliform counts/100 ml were recorded as 80-column ASCII files (SAS file format); each line in the file represents sampling data from a single site per day. Data was submitted on a diskette. A hardcopy of a README file which interprets the file format and a map of the study site is included in the documentation. Principal Investigator was Dr. Alan I. Stubin of Institute: NYC DEP (Marine Science Branch, Ward's Island).", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100203_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from OCEANUS in the TOGA Area - Atlantic from 1989-03-01 to 1989-03-19 (NCEI Accession 9100203)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-03-01", - "end_date": "1989-03-19", - "bbox": "-51.4, 5.1, -17.6, 12.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386399-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386399-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9100203_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in TOGA Area, Atlantic as part of Trans-Atlantic Section 8 (TAS-8) study. Eighteen days data was collected from Ship OCEANUS. The data was collected over a period spanning from March 1, 1989 to March 19, 1989. Data was submitted in a tape by Kristen M. Sanborn of Scripps Institution of Oceanography, La Jolla, CA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9100241_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from KNORR, ENDEAVOR and OCEANUS in the Greenland Sea from 1988-09-11 to 1991-03-22 (NCEI Accession 9100241)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-09-11", - "end_date": "1991-03-22", - "bbox": "-68.7, 21.9, 11.1, 85", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386536-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386536-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9100241_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD), Bathythermograph (XBT) and Sound Velocity data (XSV) were collected from fifty seven stations in Greenland Sea using ships KNORR, ENDEAVOR, and OCEANUS as part of Moving Ship Tomography Project. The data was collected over a period spanning from September 11, 1988 to March 22, 1991 by The Applied Physics Laboratory. Data containing 495 files in one tape were submitted by Kate Bader, University of Washington, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution and C125-Bathythermograph-XBT-Selected Depths file format of NODC. Original data were submitted on a 1600 BPI magnetic tape in ASCII. Sound velocity was measured in meters/second. File L01403 contains data from 24 stations with 1,381 records collected between 09/11/88 - 10/04/88. File L01404 contains data from 33 stations with 1,919 records collected between 08/04/89 - 08/12/89.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9200007_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MELVILLE and KNORR from 1987-11-24 to 1989-04-12 (NCEI Accession 9200007)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-11-24", - "end_date": "1989-04-12", - "bbox": "-60.8, -54, 15.4, 5.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386550-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386550-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9200007_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Distribution/Abundance of Marine Mammals in Gulf of Mexico (GULFCETI) project. Data was collected from Ships KNORR and MELVILLE. The data was collected over a period spanning from November 24, 1987 and April 12, 1989. Data for South Atlantic Ventilation Experiment (SAVE) legs 1-5 and HYDROS leg 4 was submitted in five tapes by Kristen M. Sanborn of Scripps Institution of Oceanography, La Jolla, CA. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9200030_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship MILLER FREEMAN in the NE Pacific from 1991-04-02 to 1991-10-05 (NCEI Accession 9200030)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-04-02", - "end_date": "1991-10-05", - "bbox": "-158.6, 50.1, -150.8, 61.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386644-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386644-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9200030_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Fisheries-Oceanography Cooperative Investigations (FOCI) project. Data was collected from NOAA Ship MILLER FREEMAN. The data was collected over a period spanning from April 2, 1991 and October 5, 1991. Tape containing 287 castes of CTD was submitted by Ms. Leslie Lawrence of Pacific Marine Environmental Laboratory (PMEL), Seattle, WA. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9200034_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, NOAA Ship WHITING and NOAA Ship MT. MITCHELL in the Gulf of Mexico and NE Pacific from 1991-05-27 to 1991-09-05 (NCEI Accession 9200034)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-05-27", - "end_date": "1991-09-05", - "bbox": "-96.1, 18.8, -55.3, 29", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386682-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386682-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9200034_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other SEACAT data were collected from Gulf of Mexico, NE Pacific (limit-180). Data was collected from NOAA Ship DISCOVERER, NOAA Ship MT. MITCHELL, and NOAA Ship WHITING. The data containing 7 casts was collected over a period spanning from May 27, 1991 and September 5, 1991. Data was submitted in three diskettes by National Ocean Service, Rockville, MD. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9200039_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1991-07-24 to 1991-11-14 (NCEI Accession 9200039)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-07-24", - "end_date": "1991-11-14", - "bbox": "-160.6, 21.7, -146.3, 60.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386697-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386697-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9200039_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Coastal Waters of S. Alaska. Data was collected in five cruises from Ship ALPHA HELIX. The data was collected over a period spanning from July 24, 1991 and November 14, 1991. Data was submitted in a tape from cruises L09-L011 and HX159-160 by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9200079_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NEW HORIZON in the NE Pacific from 1989-08-19 to 1989-09-01 (NCEI Accession 9200079)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-08-19", - "end_date": "1989-09-01", - "bbox": "-128.7, 31, -118.1, 33.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386848-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386848-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9200079_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Fieberling Seamount project. Data was collected from Ship NEW HORIZON. The data was collected over a period spanning from August 19, 1989 and September 1, 1989. Data was submitted in three diskettes by Dr. Gunnar Roden, University of Washington, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9200117_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship RAINIER in the North Pacific Ocean and Gulf of Alaska from 1992-03-18 to 1992-05-14 (NCEI Accession 9200117)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-03-18", - "end_date": "1992-05-14", - "bbox": "-137, 57, -135, 59", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386961-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386961-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2xvdWQgYW1vdW50L2ZyZXF1ZW5jeSwgbml0cmF0ZSBhbmQgb3RoZXIgZGF0YSBmcm9tIG5vYWEgc2hpcCBtaWxsZXIgZnJlZW1hbiBpbiB0aGUgbmUgcGFjaWZpYyBmcm9tIDE5OTEtMDQtMDIgdG8gMTk5MS0xMC0wNSAobmNlaSBhY2Nlc3Npb24gOTIwMDAzMClcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo5MjAwMDMwXCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY2NDQsMV0iLCJ1bW0iOiJbXCJjbG91ZCBhbW91bnQvZnJlcXVlbmN5LCBuaXRyYXRlIGFuZCBvdGhlciBkYXRhIGZyb20gbm9hYSBzaGlwIG1pbGxlciBmcmVlbWFuIGluIHRoZSBuZSBwYWNpZmljIGZyb20gMTk5MS0wNC0wMiB0byAxOTkxLTEwLTA1IChuY2VpIGFjY2Vzc2lvbiA5MjAwMDMwKVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjkyMDAwMzBcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjY0NCwxXSJ9/gov.noaa.nodc%3A9200117_Not%20Applicable", - "description": "Pressure, Temperature, and Salinity (CTD) data, plus sound velocity (cm/sec) data collected during hydrographic surveys conducted by the Pacific Environmental Laboratory (NOAA/PMEL) from NOAA Ship RAINIER between March 18, 1992 and May 14, 1992. Data were collected in the North Pacific Ocean, Gulf of Alaska with a SEACAT STD. Originator's Data was submitted as variable length ASCII files on two diskettes. Files contain header information, including cruise number, ship location and data parameters. Principal Investigator was Lt. John Griffin, Institute: NOAA/PMEL. CTD data were processed and are archived as NODC file type F022.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9300097_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1992-09-21 to 1992-10-04 (NCEI Accession 9300097)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-09-21", - "end_date": "1992-10-04", - "bbox": "-177.4, 65.7, -158.8, 71.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387579-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387579-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9300097_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Chukchi Sea. Data was collected from Ship ALPHA HELIX. The data was collected over a period spanning from September 21, 1992 and October 4, 1992. Data from 107 casts was submitted in one diskette by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9300107_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NW Atlantic from 1990-06-24 to 1990-07-07 (NCEI Accession 9300107)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-06-24", - "end_date": "1990-07-07", - "bbox": "-76.8, 32, -70.5, 39.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387607-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387607-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9300107_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from Ship ENDEAVOR cruise 214. The data was collected over a period spanning from June 24, 1990 to July 7, 1990. Data was submitted in a tape by Dr. Robert Pickart, Woods Hole Oceanographic Institution, Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9300130_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1993-06-02 to 1993-06-24 (NCEI Accession 9300130)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-06-02", - "end_date": "1993-06-24", - "bbox": "-92.2, 24.9, -83, 28", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387693-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387693-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9300130_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and bathythermograph (XBT) data were collected in Gulf of Mexico as part of Texas Institutions Gulf Ecosystem Research (TIGER) and LATEX project funded by grant no MMS # 14-35-0001-30501. Data was collected from Ship GYRE. The data was collected over a period spanning from June 2, 1993 and June 24, 1993. Data was submitted by Mark Garner, Texas A&M University, College Station, TX. Data has been processed and is available in F022-CTD-Hi Resolution and C116 Bathythermograph file format of NODC. Objective of LATEX A was to observe currents and waves, water properties (such as temperature, salinity and nutrients), and air-sea interaction over the Texas- Louisiana shelf, with the aim of providing data adequate to describe and better understand the circulation and transport of water, nutrients and other properties over that shelf.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9300144_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from CAPE HENLOPEN and Other Platforms From NW Atlantic (limit-40 W) and Others from 1992-08-13 to 1993-06-05 (NCEI Accession 9300144)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-08-13", - "end_date": "1993-06-05", - "bbox": "-97.5, 21.3, -74.7, 36.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387725-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387725-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9300144_Not%20Applicable", - "description": "The water depth and temperature data were collected in Coastal Waters of Gulf of Mexico, NW Atlantic (limit-40 W) as part of Louisiana-Texas (LATEX part C) Gulf of Mexico Eddy Circulation Study from CAPE HENLOPEN, and DRIFTING PLATFORM between August 13, 1992 and June 5, 1993. The originator's CTD and ARGOS tracked drifting buoy data containing 2,821 records were submitted by Dr. Thomas Berger, Science Applications, Inc. Raleigh NC. The study was supported by grant no MMS 14-35-0001-30633. LATEX is a three-part, $16.2 million federal initiative funded by the U.S. Minerals Management Service (MMS) of the Department of the Interior. The study was conducted to aid MMS in reducing risks associated with oil and gas operations on the continental shelf along the Texas and Louisiana coasts from the mouth of the Mississippi River to the Rio Grande. Begun in September 1991, it was the largest physical oceanography program ever undertaken in the Gulf. The program consists of three major parts: LATEX A, B, and C, conducted by the Texas A&M University System (TAMUS), Louisiana State University (LSU), and Science Applications International Corp. (SAIC), respectively. LATEX C was carried out by researchers at SAIC and the University of Colorado. Loop Current eddies, slope eddies, and squirts and jets within the Gulf of Mexico were located and tracked by air-deployed temperature profiling instruments and drifting buoys. Using these data, scientists assessed the impact of these Gulf-wide, circulation features on shelf circulation and identified the processes that interact with the shelf. The data is currently available in F022-CTD-Hi-Resolution and F156-Drifting-Buoy file formats of NODC.", + "id": "gpmkapxgcpex_1", + "title": "GPM GROUND VALIDATION KAPX NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-09", + "end_date": "2012-03-12", + "bbox": "-90.55, 40.77, -78.89, 49.04", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980479829-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980479829-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmkapxgcpex_1", + "description": "The GPM Ground Validation KAPX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. This data set were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx datasets include data files and browse image files. These data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9300147_Not Applicable", - "title": "Chlorophyll-a profiles collected by various vessels in the Atlantic Ocean and adjoining seas from 03/02/1961 to 10/21/1992 (NCEI Accession 9300147)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1961-03-02", - "end_date": "1992-10-21", - "bbox": "-92.039, -9.628, 17.4, 82.017", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387743-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387743-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9300147_Not%20Applicable", - "description": "Chlorophyll-a profiles were collected in the Atlantic Ocean and adjoining seas from March 2, 1961 to October 21, 1992. The data were collected by multiple institutions as part of the North Atlantic Chlorophyll Profile Data Set. This work was supported by funding from the European Space Agency and the Canadian Department of Fisheries and Oceans. The README.pdf file in the about/ directory contains information about the file format and data originators.", + "id": "gpmkarx2ifld_1", + "title": "GPM GROUND VALIDATION NEXRAD LEVEL II KARX IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-96.92, 39.68, -85.47, 47.96", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980499098-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980499098-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmkarx2ifld_1", + "description": "The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9300152_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship RAINIER in the NE Pacific from 1993-03-23 to 1993-07-31 (NCEI Accession 9300152)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-03-23", - "end_date": "1993-07-31", - "bbox": "-157.3, 56.7, -133.6, 57.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387756-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387756-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9300152_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180). Data was collected from NOAA Ship RAINIER. The data was collected over a period spanning from March 23, 1993 to July 31, 1993. Data was submitted in a diskette by Capt. Russell Arnold, Pacific Marine Environmental Laboratory, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkarx3ifld_1", + "title": "GPM Ground Validation NEXRAD Level III KARX IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-91.6401, 43.3739, -90.7419, 44.2721", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980520923-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980520923-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmkarx3ifld_1", + "description": "The GPM Ground Validation NEXRAD Level III KARX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9300161_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea and Others from 1992-07-24 to 1992-10-27 (NCEI Accession 9300161)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-07-24", - "end_date": "1992-10-27", - "bbox": "-170.4, 53.6, -149.4, 71.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387773-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387773-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9300161_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska, Chukchi Sea, and NW Pacific (limit-180). Data was collected from cruises HX 163, HX 165 and HX 167 of Ship ALPHA HELIX. The data was collected over a period spanning from July 24, 1992 to october 27, 1992. Data was submitted in one exabyte cassette by Dr. Thomas C. Royer, Institute of Marine Science, University of Alaska, Fairbanks, AK.", + "id": "gpmkatx2olyx_1", + "title": "GPM Ground Validation KATX NEXRAD OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-09-22", + "end_date": "2016-05-01", + "bbox": "-123.197, 48.7357, -121.813, 49.653", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980575432-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980575432-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmkatx2olyx_1", + "description": "The GPM Ground Validation KATX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 22 September 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9300187_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the Gulf of Mexico from 1992-04-02 to 1992-07-14 (NCEI Accession 9300187)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-04-02", - "end_date": "1992-07-14", - "bbox": "-92.9, 27.4, -91.8, 27.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387862-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387862-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9300187_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Mexico by SEACATs deployed in the area. Data was collected from NOAA Ship WHITING during 7 casts. The data was collected over a period spanning from April 2, 1992 to July 14, 1992. Data was submitted in one diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkboxgcpex_1", + "title": "GPM GROUND VALIDATION KBOX NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-02-06", + "end_date": "2012-03-12", + "bbox": "-76.69, 37.82, -65.58, 46.09", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980683462-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980683462-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmkboxgcpex_1", + "description": "The GPM Ground Validation KBOX NEXRAD GCPEx dataset was collected during February 6, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9300196_Not Applicable", - "title": "Algal Species and other data collected from photographs in Southeast Atlantic Ocean from 1991-06-11 to 1993-03-22 (NCEI Accession 9300196)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-06-11", - "end_date": "1993-03-22", - "bbox": "-88, 17, -85, 22", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387904-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387904-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9300196_Not%20Applicable", - "description": "Algal species and other data were collected using photographs from swimmers/divers in Southeast Atlantic Ocean. Data were collected from 11 June 1991 to 22 March 1993 by the Coral Cay Conservation.", + "id": "gpmkbufgcpex_1", + "title": "GPM GROUND VALIDATION KBUF NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-09", + "end_date": "2012-03-12", + "bbox": "-84.38, 38.81, -73.09, 47.09", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980698247-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980698247-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmkbufgcpex_1", + "description": "The GPM Ground Validation KBUF NEXRAD GCPEx dataset was collected during February 6, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9300199_Not Applicable", - "title": "Benthic and tissue toxin data from stations in U.S. coastal waters from 1984-01-01 to 1989-12-31 (NCEI Accession 9300199)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1984-01-01", - "end_date": "1989-12-31", - "bbox": "-123, 25, -67, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387915-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387915-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9300199_Not%20Applicable", - "description": "The accession contains Benthic and Tissue toxin data from stations in U.S. coastal waters (Coastal Waters of Western U.S. and North American Coastline-North) collected under the National Status and Trends (NS&T) program from 1984-1989. NS&T program for marine environmental quality was designed to define the geographic distribution of contaminant concentrations in tissues of marine organisms and sediments, and documenting biological responses to contamination. Samples have been collected under the original Benthic Surveillance Project (sediment and tissue samples from benthic fish) since 1984. Samples have been collected under the Mussel Watch Project (sediment and bivalves) since 1986. Both programs involved collecting samples from fixed sites on both Atlantic and Pacific coasts. Sites were selected so as not to be in close proximity to a major contamination source, as the programs objective was to quantify contamination over general areas. Chemical data from sediments collected during the benthic surveillance project, 1984-1986, is contained in a single delimited ASCII file (bssed.txt). Additional contaminated sediment data from the mussel watch program, 1986-1989, is contained in a single delimited ASCII file (mwsed.txt). These data do not include tissue analysis for contaminants. Chemicals and related parameters measured in sediments include: DDT. Since 1986, NOAA'S NS&T Program has included a component called the mussel watch project that has annually collected and chemically analyzed mussels and oysters from 177 sites at coastal and estuarine sites. Tissue samples from these mollusks have been analyzed to establish temporal trends of contaminant accumulation. Contaminants analyzed during this project include: polyaromatic hydrocarbons, polychlorinated biphenyls, chlorinated pesticides (such as ddt and its metabolites), aluminum, iron, manganese, silicon, other trace elements, and lipids. Tissue contaminant data from the mussel watch project, years 1986-1989, is contained in a single wordperfect 4.2 file, mollto90.txt. a second file, tbt_90.txt, lists the sum of concentrations of tributyl tin and its breakdown products (dibutyl tin and monobutyl tin) found in bivalve tissue samples. Tributylin (tbt) was previously used as an antifouling agent in paints, but its use on vessels under 75 feet was banned in 1988. A third file, mwsiteyr.txt, lists collection sites.", + "id": "gpmkcae2iphx_1", + "title": "GPM Ground Validation KCAE NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-12", + "bbox": "-83.2165, 31.8504, -79.0201, 36.0468", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980727098-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980727098-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmkcae2iphx_1", + "description": "The GPM Ground Validation KCAE NEXRAD IPHEx datasets contain data from the KCAE NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400001_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1993-08-29 to 1993-11-21 (NCEI Accession 9400001)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-08-29", - "end_date": "1993-11-21", - "bbox": "-71.3, 41.4, -70.3, 41.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387925-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387925-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9400001_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) SEACAT data was collected in NW Atlantic (limit-40 W). Data was collected during 17 casts from NOAA Ship WHITING. The data was collected over a period spanning from August 29, 1993 to November 21, 1993. Data was submitted in a diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkcbwgcpex_1", + "title": "GPM GROUND VALIDATION KCBW NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-09", + "end_date": "2012-03-12", + "bbox": "-73.75, 41.9, -61.86, 50.18", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980747974-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980747974-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkcbwgcpex_1", + "description": "The GPM Ground Validation KCBW NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400010_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from SEAWARD EXPLORER From NW Atlantic (limit-40 W) from 1993-02-06 to 1993-08-28 (NCEI Accession 9400010)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-02-06", - "end_date": "1993-08-28", - "bbox": "-75.9, 34.5, -73.7, 36.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388069-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388069-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400010_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W) as part of Physical Oceanography Field Program offshore North Carolina supported by grant MMS #14-35-0001-30599. Data was collected from Ship SEAWARD EXPLORER cruises SE9301, SE9303, and SE9309. The data was collected over a period spanning from February 6, 1993 and August 28, 1993. Data from 146 stations containing 7,614 records was submitted on a tape by Dr. Thomas Berger, Science Applications, Inc., Raleigh NC. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmkcradgcpex_1", + "title": "GPM GROUND VALIDATION DUAL POLARIZED C-BAND DOPPLER RADAR KING CITY GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-04", + "bbox": "-88, 34.5, -68, 46.7", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980774909-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980774909-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmkcradgcpex_1", + "description": "The GPM Ground Validation Dual Polarized C-Band Doppler Radar King City GCPEx dataset has special Range Height Indicator (RHI) and sector scans of several dual polarization parameters, such as temperature and reflectivity, measured by the C-Band radar during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada. Additionally, specially configured Centre for Atmospheric Research Experiments (CARE)-centric composites were also generated. Standard King City Radar (WKR) Interactive Radar Information System (IRIS) volume and Plan Position Indicator (PPI) scans, along with corresponding standard PPI imagery, are also included. Data was collected from January 15, 2012 through March 3, 2012.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400013_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING from 1993-04-25 to 1993-07-13 (NCEI Accession 9400013)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-04-25", - "end_date": "1993-07-13", - "bbox": "-74.9, 38.7, -74.6, 38.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388221-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388221-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9400013_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from NOAA Ship WHITING cruises 93115-194. The data was collected over a period spanning from April 25, 1993 to July 13, 1993. Data was submitted in a diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmkcxxgcpex_1", + "title": "GPM GROUND VALIDATION KCXX NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-09", + "end_date": "2012-03-12", + "bbox": "-78.96, 40.37, -67.38, 48.65", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980799755-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980799755-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkcxxgcpex_1", + "description": "The GPM Ground Validation KCXX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400015_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from MOANA WAVE in the NE Pacific from 1990-08-06 to 1990-12-13 (NCEI Accession 9400015)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1990-08-06", - "end_date": "1990-12-13", - "bbox": "-158, 1.1, -126.2, 20.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388228-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388228-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400015_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180). Data was collected from Ship MOANA WAVE cruises MW9010 & MW9012. The data was collected over a period spanning from August 6, 1990 and December 13, 1990. Data was submitted via File transfer protocol by Dr. Pierre Flament, University of Hawaii at Manoa, Honolulu, HI. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC.", + "id": "gpmkdmx2ifld_1", + "title": "GPM GROUND VALIDATION NEXRAD LEVEL II KDMX IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-99.26, 37.59, -88.18, 45.87", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980823116-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980823116-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmkdmx2ifld_1", + "description": "The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400017_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from GYRE From Gulf of Mexico from 1993-10-28 to 1993-11-03 (NCEI Accession 9400017)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-10-28", - "end_date": "1993-11-03", - "bbox": "-95.5, 26.4, -94.6, 28.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388245-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388245-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400017_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD); and Transmissivity and Fluorescence data were collected in Gulf of Mexico as part of Texas Institutions Gulf Ecosystem Research (TIGER) project. Data was collected from Ship GYRE cruise 93G12. The data from 15 casts containing 11,448 records was collected over a period spanning from October 28, 1993 and November 3, 1993. Data was submitted in one diskette by Mr. P.V. Pittman, Texas A&M University, College Station, TX.", + "id": "gpmkdmx3ifld_1", + "title": "GPM Ground Validation NEXRAD Level III KDMX IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-94.1719, 41.282, -93.2737, 42.1802", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980844236-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980844236-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmkdmx3ifld_1", + "description": "The GPM Ground Validation NEXRAD Level III KDMX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400026_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1993-06-12 to 1993-07-01 (NCEI Accession 9400026)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-06-12", - "end_date": "1993-07-01", - "bbox": "-179.2, 24.9, -160, 67.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388305-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388305-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400026_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea. Data was collected from Ship ALPHA HELIX cruise HX 171. The data was collected over a period spanning from June 12, 1993 and July 1, 1993. Data from 81 stations was submitted in a diskette by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkdvn2ifld_1", + "title": "GPM GROUND VALIDATION NEXRAD LEVEL II KDVN IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-96.1, 37.47, -85.06, 45.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980884933-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980884933-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmkdvn2ifld_1", + "description": "The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400033_Not Applicable", - "title": "Bahia Las Minas, Panama Oil Spill Assessment, 1986-1991 (NCEI Accession 9400033)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-05-01", - "end_date": "1991-10-31", - "bbox": "-80, 9.2, -79, 10", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388341-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388341-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400033_Not%20Applicable", - "description": "In April 1986 a major oil spill from a ruptured storage tank at a local refinery just east of the Caribbean entrance to the Panama Canal polluted an area of coral reefs, mangrove forests, and grassbeds along the Caribbean coast of the Republic of Panama. The area affected included a biological reserve of the Smithsonian Tropical Research Institute (STRI) where baseline biological and environmental data had beencollected for the previous 15 years. Shortly after the spill, a grant to study the effects of the spill was received from the Minerals Management Service of the United States Department of the Interior. Data was then collected from May of 1986 to October of 1991 by the Smithsonian Tropical Research Institute under Minerals Management Service contracts 14-12-0001-30355 and 14-12-0001-30393. These data are filed under NCEI Accession #9400033. Results of the study were published as a technical report of the MMS (Keller and Jackson, 1993.) The project was divided into 8 subprojects to study the chemistry of the oil and 7 different environments affected by the spill, which included seagrass, coral, and mangrove communities. The study continued in part for an additional year under another grant, but that data is not included here, nor is data collected before the spill or data collected by the STRI ESP program.", + "id": "gpmkdvn3ifld_1", + "title": "GPM Ground Validation NEXRAD Level III KDVN IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-91.0439, 41.1643, -90.1457, 42.0625", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980906311-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980906311-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmkdvn3ifld_1", + "description": "The GPM Ground Validation NEXRAD Level III KDVN IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400036_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea and Chukchi Sea from 1993-09-09 to 1993-10-10 (NCEI Accession 9400036)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-09-09", - "end_date": "1993-10-10", - "bbox": "177.8, 59.8, -149.4, 74.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388351-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388351-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400036_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea and Chukchi Sea. Data was collected from Ship ALPHA HELIX. The data was collected over a period spanning from September 9, 1993 to October 10, 1993. Data was submitted in a diskette by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkerlpvex_1", + "title": "GPM Ground Validation C-band Kerava (KER) Radar LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-01", + "end_date": "2011-01-31", + "bbox": "20.565, 58.142, 29.663, 62.634", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569709-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569709-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmkerlpvex_1", + "description": "The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Kerava (KER) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Kerava C-Band Radar data files are available in RAW and UF format from September 21 through October 20, 2010.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400051_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From North Pacific Ocean and Others from 1993-10-16 to 1993-11-03 (NCEI Accession 9400051)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-10-16", - "end_date": "1993-11-03", - "bbox": "174.3, 51, -149.4, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388457-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388457-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400051_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea and North Pacific Ocean. Data was collected from Ship ALPHA HELIX cruise HX-175. The data was collected over a period spanning from October 16, 1993 to November 3, 1993. Data was submitted in a cassette by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkgldmc3e_1", + "title": "GPM GROUND VALIDATION KGLD NEXRAD MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-05-18", + "end_date": "2011-05-18", + "bbox": "-107.04, 35.23, -96.36, 43.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979607582-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979607582-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkgldmc3e_1", + "description": "The GPM Ground Validation KGLD NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma; however, this dataset contains data from May 18, 2011 to June 6, 2011. MC3E was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. Radar sites include KGLD, KICT, KINX, KTLX, KTWX, KVNX. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as tarred binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400052_Not Applicable", - "title": "Chemical, physical, zooplankton abundance, and other data collected using fluorometer, laboratory analysis, visual analysis, and zooplankton net casts from multiple ships from the Coastal Waters of California and North Pacific Ocean as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1951-01-01 to 1993-08-28 (NCEI Accession 9400052)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1951-01-01", - "end_date": "1993-08-28", - "bbox": "-118.4, 25.7, -117.5, 33", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388462-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388462-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9400052_Not%20Applicable", - "description": "Chemical, physical, zooplankton abundance, and other data were collected using fluorometer, laboratory analysis, visual analysis, and zooplankton net casts from multiple ships from the Coastal Waters of California and North Pacific Ocean from January 1, 1951 to August 28, 1993. Data were submitted by Scripps Institution of Oceanography as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400056_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship RAINIER From Coastal Waters of California from 1994-03-30 to 1994-04-20 (NCEI Accession 9400056)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-03-30", - "end_date": "1994-04-20", - "bbox": "-124.5, 35.4, -121, 40.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388480-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388480-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400056_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Coastal Waters of California. Data was collected from NOAA Ship RAINIER. The data was collected over a period spanning from March 31, 1994 and April 22, 1994. Data from 3 CTD casts containing 170 records was submitted on one diskette by Capt. Russell Arnold, National Ocean Service, Seattle, WA in WHOI exchange format. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400062_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea and Others from 1993-07-09 to 1993-08-07 (NCEI Accession 9400062)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-07-09", - "end_date": "1993-08-07", - "bbox": "176, 51.5, -178.8, 53", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388512-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388512-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400062_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea, Chukchi Sea. Data was collected from Ship ALPHA HELIX cruise Aleutian Birds HX-172 funded by National Science Foundation Division of Polar Programs . The data was collected over a period spanning from July 9, 1993 and August 7, 1993. Data was submitted in a cassette by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400085_Not Applicable", - "title": "Bottle data collected by R/V Rapuhia from 1991-02-21 to 1991-03-11 (NCEI Accession 9400085)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-02-21", - "end_date": "1991-03-11", - "bbox": "176.7, -35.7, -167.9, -32.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388621-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388621-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmlyZHMgZnJvbSBhbHBoYSBoZWxpeCBhbmQgb3RoZXIgcGxhdGZvcm1zIGZyb20gMTk4MS0wNS0zMSB0byAxOTgxLTA3LTIxIChuY2VpIGFjY2Vzc2lvbiA4MjAwMDE1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjgyMDAwMTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjU2MSwxXSIsInVtbSI6IltcImJpcmRzIGZyb20gYWxwaGEgaGVsaXggYW5kIG90aGVyIHBsYXRmb3JtcyBmcm9tIDE5ODEtMDUtMzEgdG8gMTk4MS0wNy0yMSAobmNlaSBhY2Nlc3Npb24gODIwMDAxNSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo4MjAwMDE1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1NjEsMV0ifQ%3D%3D/gov.noaa.nodc%3A9400085_Not%20Applicable", - "description": "Bottle data set collected on the R/V Rapuhia, a New Zealand ship which is run by New Zealand Oceanography Institute (NZOI). Data were collected from 21 February 1991 to 11 March 1991 as part of WHOI's moored current meter array experiment.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400110_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from LITTLE DIPPER From Gulf of Alaska from 1992-05-21 to 1994-05-25 (NCEI Accession 9400110)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-05-21", - "end_date": "1994-05-25", - "bbox": "-149.5, 59.8, -149.4, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388731-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388731-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400110_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska. Data was collected from Ship LITTLE DIPPER. The data was collected over a period spanning from May 21, 1992 to May 25, 1994. Oceanographic time series CTD data in 33 files was submitted in a diskette by Dr. Thomas C. Royer, Institute of Marine Science, University of Alaska, Fairbanks, AK.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400124_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship WHITING From NW Atlantic (limit-40 W) from 1994-05-20 to 1994-06-23 (NCEI Accession 9400124)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-05-20", - "end_date": "1994-06-23", - "bbox": "-71.4, 41.5, -70.4, 41.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388795-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388795-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400124_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from NOAA Ship WHITING. The data was collected over a period spanning from May 20, 1994 and June 23, 1994. Data from 9 casts containing 270 records in WHOI/NODC Exchange format was submitted in one diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400134_Not Applicable", - "title": "Chemical, physical, and other data collected using fluorometer, laboratory analysis, and visual analysis from multiple ships as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1973-03-08 to 1993-08-26 (NCEI Accession 9400134)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1973-03-08", - "end_date": "1993-08-26", - "bbox": "-130, 20, -105, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388852-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388852-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400134_Not%20Applicable", - "description": "Ammonmium, nitrite, nitrate, chlorophyll a, temperature, pressure, and other data were collected from multiple ships from March 8, 1973 to August 26, 1993. Data were collected using fluorometer, laboratory analysis, and visual analysis in the Coastal Waters of California. Data were collected by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9400141_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship WHITING From NW Atlantic (limit-40 W) from 1994-05-25 to 1994-07-23 (NCEI Accession 9400141)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-05-25", - "end_date": "1994-07-23", - "bbox": "-70.6, 41.5, -70.4, 41.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388887-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388887-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400141_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from NOAA Ship WHITING. The data was collected over a period spanning from May 25, 1994 to July 23, 1994. Data from 10 CTD casts containing 234 recrods was submitted in a floppy diskette by Ms. Ruby Becker of National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkgsp2iphx_1", + "title": "GPM Ground Validation KGSP NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-12", + "bbox": "-84.3182, 32.7685, -80.1218, 36.9649", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981871025-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981871025-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkgsp2iphx_1", + "description": "The GPM Ground Validation KGSP NEXRAD IPHEx dataset contain data from the KGSP NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400142_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from UNKNOWN and Other Platforms From Indian Ocean from 1991-07-01 to 1994-02-22 (NCEI Accession 9400142)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-07-01", - "end_date": "1994-02-22", - "bbox": "115, -9.5, 133.7, 1.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388890-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388890-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmFyb21ldHJpYyBwcmVzc3VyZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGxpdHRsZSBkaXBwZXIgZnJvbSAxOTk1LTAzLTAxIHRvIDE5OTgtMDItMDYgKG5jZWkgYWNjZXNzaW9uIDk4MDAwMjcpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTgwMDAyN1wiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg1ODU5LDFdIiwidW1tIjoiW1wiYmFyb21ldHJpYyBwcmVzc3VyZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGxpdHRsZSBkaXBwZXIgZnJvbSAxOTk1LTAzLTAxIHRvIDE5OTgtMDItMDYgKG5jZWkgYWNjZXNzaW9uIDk4MDAwMjcpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTgwMDAyN1wiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg1ODU5LDFdIn0%3D/gov.noaa.nodc%3A9400142_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in the Indian Ocean. Data were collected from Ship BARUNA JAYA I. The data were collected over a period spanning from July 1, 1991 and February 22, 1994. Data from 140 CTD casts containing 112,303 records were submitted on eight diskettes by two visitors from the Agency for the Assessment and Application of Technology, Indonesia to Ocean Climate Laboratory. Data was processed into NODC F022 High-Resolution CTD file format. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkgyxgcpex_1", + "title": "GPM GROUND VALIDATION KGYX NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-09", + "end_date": "2012-03-12", + "bbox": "-75.98, 39.75, -64.52, 48.03", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981898387-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981898387-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkgyxgcpex_1", + "description": "The GPM Ground Validation KGYX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400150_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship DAVID STARR JORDAN and Other Platforms From Coastal Waters of California from 1987-04-10 to 1994-05-23 (NCEI Accession 9400150)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-04-10", - "end_date": "1994-05-23", - "bbox": "-126.8, 28.1, -121.8, 38.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384888-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384888-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400150_Not%20Applicable", - "description": "Conductivity, Temperature and Depth (CTD) and other data were collected in Coastal Waters of California by NOAA Ship DAVID STARR JORDAN. Data were collected over a period from April 10, 1987 to May 23, 1994. CTD Data from 3,380 casts was received from Kenny Baltz of National Marine Fisheries Service, Tiburon, CA via Norm Hall by NODC.", + "id": "gpmkhtx2iphx_1", + "title": "GPM Ground Validation KHTX NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-16", + "bbox": "-88.1815, 32.8323, -83.9851, 37.0288", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981921928-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981921928-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkhtx2iphx_1", + "description": "The GPM Ground Validation KHTX NEXRAD IPHEx datasets contain data from the KHTX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 16, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400159_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from XIANG YANG HONG 09 and Other Platforms (NCEI Accession 9400159)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "", - "end_date": "", - "bbox": "108.616667, -2.683833, 159.990667, 39.916667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384925-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384925-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmFyb21ldHJpYyBwcmVzc3VyZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGxpdHRsZSBkaXBwZXIgZnJvbSAxOTk1LTAzLTAxIHRvIDE5OTgtMDItMDYgKG5jZWkgYWNjZXNzaW9uIDk4MDAwMjcpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTgwMDAyN1wiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg1ODU5LDFdIiwidW1tIjoiW1wiYmFyb21ldHJpYyBwcmVzc3VyZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGxpdHRsZSBkaXBwZXIgZnJvbSAxOTk1LTAzLTAxIHRvIDE5OTgtMDItMDYgKG5jZWkgYWNjZXNzaW9uIDk4MDAwMjcpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6OTgwMDAyN1wiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzg1ODU5LDFdIn0%3D/gov.noaa.nodc%3A9400159_Not%20Applicable", - "description": "The depth, temperature, salinity, and oxygen data in this accession were provided by the Chinese National Oceanographic Data Center during 4th meeting of US/PRC Joint Coordination Panel for Data and Information Cooperation as part of World Ocean Circulation Experiment. Data were collected between November 1992 and December 1993 using ships XIANG YANG HONG 09, SHI YAN 3, and XIANG YANG HONG 05. The CTD data were submitted on two tapes and four diskettes.", + "id": "gpmkictmc3e_1", + "title": "GPM GROUND VALIDATION KICT NEXRAD MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-102.663, 33.5181, -92.2231, 41.7919", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979607865-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979607865-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkictmc3e_1", + "description": "The GPM Ground Validaiton KICT NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400164_Not Applicable", - "title": "Carbon dioxide, temperature, and salinity collected from surface underway survey from 1986-05 to 1989-04 (NCEI Accession 9400164)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1986-05-23", - "end_date": "1989-04-20", - "bbox": "90, -61.063, -90.615, 56", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384964-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384964-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9400164_Not%20Applicable", - "description": "This accession contains chemical and physical profile data containing measuremnts of depth, salinity and temperature collected between May 1986 and April 1989. Data were submitted on a diskette containing 12 files by Dr. Richard Feely of Pacific Marine Environmental Laboratory, Seattle, WA. Files were received by NODC via Ocean Climate Laboratory. Refer to publication \"Murphy, et al, NOAA Tech. Memo ERL PMEL-101\" for more details.", + "id": "gpmkinxmc3e_1", + "title": "GPM GROUND VALIDATION KINX NEXRAD MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-100.685, 32.0381, -90.445, 40.3119", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979615259-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979615259-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkinxmc3e_1", + "description": "The GPM Ground Validation KINX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400167_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from 1972-10-29 to 1992-07-26 (NCEI Accession 9400167)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1972-10-29", - "end_date": "1992-07-26", - "bbox": "-1.2, -60, 0, 78.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384990-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089384990-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400167_Not%20Applicable", - "description": "Conductivity, Temperature and Depth (CTD) and other data were collected over two decades from October 29, 1972 to July 26, 1992. Data files were assembled by Mr. Russ Burgett of Woods Hole Oceanographic Institution, Woods Hole, MA. 77 files of data containing 4,757 profiles were received by NODC via File Transfer Protocol.", + "id": "gpmklgx2olyx_1", + "title": "GPM Ground Validation KLGX NEXRAD OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-09-22", + "end_date": "2016-05-01", + "bbox": "-124.784, 46.6742, -123.45, 47.5825", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1981979131-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1981979131-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmklgx2olyx_1", + "description": "The GPM Ground Validation KLGX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 22 September 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400203_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship RAINIER from 1994-05-16 to 1994-11-04 (NCEI Accession 9400203)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-05-16", - "end_date": "1994-11-04", - "bbox": "-157.8, 55, -147.1, 61.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385654-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385654-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400203_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Cook Inlet, Prince William Sound from NOAA Ship RAINIER. The data was collected over a period spanning from May 16, 1994 to November 4, 1994. Data from 11 CTD casts was submitted on a diskette by Capt. Russell Arnold of National Ocean Service, Seattle WA.", + "id": "gpmkltx2iphx_1", + "title": "GPM Ground Validation KLTX NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-12", + "bbox": "-80.5271, 31.8912, -76.3307, 36.0877", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982527995-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982527995-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkltx2iphx_1", + "description": "The GPM Ground Validation KLTX NEXRAD IPHEx dataset contain data from the KLTX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400205_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ODEN from 1991-01-01 to 1991-12-31 (NCEI Accession 9400205)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-01-01", - "end_date": "1991-12-31", - "bbox": "-14.855, 81.15, 169.685, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385673-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385673-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400205_Not%20Applicable", - "description": "Not provided", + "id": "gpmkmhx2iphx_1", + "title": "GPM Ground Validation KMHX NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-10", + "bbox": "-78.9743, 32.6779, -74.7779, 36.8743", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982549160-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982549160-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkmhx2iphx_1", + "description": "The GPM Ground Validation KMHX NEXRAD IPHEx dataset contain data from the KMHX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400206_Not Applicable", - "title": "Cloud amount/frequency, NITRATE and other data from ELTANIN from 1969-12-22 to 1970-01-25 (NCEI Accession 9400206)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1969-12-22", - "end_date": "1970-01-25", - "bbox": "129.8, -64.5, 135.9, -35", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385681-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385681-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9400206_Not%20Applicable", - "description": "Not provided", + "id": "gpmkmpx2ifld_1", + "title": "GPM GROUND VALIDATION NEXRAD LEVEL II KMPX IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-99.4, 40.71, -87.74, 48.99", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982568561-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982568561-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmkmpx2ifld_1", + "description": "The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400223_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship WHITING From NW Atlantic (limit-40 W) from 1994-10-12 to 1994-11-12 (NCEI Accession 9400223)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-10-12", - "end_date": "1994-11-12", - "bbox": "-81, 31, -81, 31", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385743-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385743-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9400223_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from NOAA Ship WHITING. The data was collected over a period spanning from October 12, 1994 to November 12, 1994. One diskette of data from 14 casts was submitted by National Ocean Service, Rockville, MD.", + "id": "gpmkmpx3ifld_1", + "title": "GPM Ground Validation NEXRAD Level III KMPX IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-29", + "end_date": "2013-06-18", + "bbox": "-94.0144, 44.3998, -93.1162, 45.298", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982587652-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982587652-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmkmpx3ifld_1", + "description": "The GPM Ground Validation NEXRAD Level III KMPX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9400225_Not Applicable", - "title": "ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From Gulf of Maine from 1985-01-01 to 1992-12-31 (NCEI Accession 9400225)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-01-01", - "end_date": "1992-12-31", - "bbox": "-70.9, 42, -65.7, 45", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385762-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385762-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYSB1bmlmaWVkLCBsb25nLXRlcm0sIGNhcmliYmVhbi13aWRlIGluaXRpYXRpdmUgdG8gaWRlbnRpdHkgdGhlIGZhY3RvcnMgcmVzcG9uc2libGUgZm9yIHN1c3RhaW5pbmcgbWFuZ3JvdmUgd2V0bGFuZCwgc2VhZ3Jhc3MgbWVhZG93LCBhbmQgY29yYWwgcmVlZiBwcm9kdWN0aXZpdHksIGZlYnJ1YXJ5IDE5OTMgLSBvY3RvYmVyIDE5OTggKG5jZWkgYWNjZXNzaW9uIDAwMDA1MDEpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDUwMVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc1MzQxLDFdIiwidW1tIjoiW1wiYSB1bmlmaWVkLCBsb25nLXRlcm0sIGNhcmliYmVhbi13aWRlIGluaXRpYXRpdmUgdG8gaWRlbnRpdHkgdGhlIGZhY3RvcnMgcmVzcG9uc2libGUgZm9yIHN1c3RhaW5pbmcgbWFuZ3JvdmUgd2V0bGFuZCwgc2VhZ3Jhc3MgbWVhZG93LCBhbmQgY29yYWwgcmVlZiBwcm9kdWN0aXZpdHksIGZlYnJ1YXJ5IDE5OTMgLSBvY3RvYmVyIDE5OTggKG5jZWkgYWNjZXNzaW9uIDAwMDA1MDEpXCIsXCJOT0FBX05DRUlcIixcImdvdi5ub2FhLm5vZGM6MDAwMDUwMVwiLFwibm90IGFwcGxpY2FibGVcIiwyMDg5Mzc1MzQxLDFdIn0%3D/gov.noaa.nodc%3A9400225_Not%20Applicable", - "description": "The accession contains binary raster images from landsat thematic mapper collected in Gulf of Maine between 1982 to 1985. A suite of Regional Satellite Products from Edward Bright, Martin-Marietta Energy Systems at Oak Ridge National Laboratory was submitted. Each data set is about megabyte.", + "id": "gpmkmrx2iphx_1", + "title": "GPM Ground Validation KMRX NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-12", + "bbox": "-85.4999, 34.0704, -81.3035, 38.2668", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982636929-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982636929-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkmrx2iphx_1", + "description": "The GPM Ground Validation KMRX NEXRAD IPHEx dataset contain data from the KMRX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500029_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Bering Sea from 1994-05-03 to 1994-06-08 (NCEI Accession 9500029)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-05-03", - "end_date": "1994-06-08", - "bbox": "-180, 53.9, -149.3, 64.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385960-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385960-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYmFyb21ldHJpYyBwcmVzc3VyZSBhbmQgb3RoZXIgZGF0YSBmcm9tIGFscGhhIGhlbGl4IGZyb20gMTk5Ny0xMC0xMCB0byAxOTk4LTA1LTE0IChuY2VpIGFjY2Vzc2lvbiA5ODAwMTE5KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjk4MDAxMTlcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjUwNywxXSIsInVtbSI6IltcImJhcm9tZXRyaWMgcHJlc3N1cmUgYW5kIG90aGVyIGRhdGEgZnJvbSBhbHBoYSBoZWxpeCBmcm9tIDE5OTctMTAtMTAgdG8gMTk5OC0wNS0xNCAobmNlaSBhY2Nlc3Npb24gOTgwMDExOSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo5ODAwMTE5XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODY1MDcsMV0ifQ%3D%3D/gov.noaa.nodc%3A9500029_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea as part of Inner SHelf Transfer and recycling (ISHTAR) and \"St. Lawrence Island Polynya\" project. Data was collected from Ship ALPHA HELIX cruise HX-177. The data was collected over a period spanning from May 3, 1994 and June 8, 1994. Dr. Jackie Grebmeir, Univ. of Tenn., Knoxville was Principal Investigator funde by NSF Grant OPP-9000694. Data from 105 stations was received by NODC via Dr. Chirk Chu, University of Alaska, Institute of Marine Science, Fairbanks, AK. Data is in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", + "id": "gpmkorlpvex_1", + "title": "GPM Ground Validation C-band Korpo (KOR) Radar LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-10-19", + "end_date": "2010-10-19", + "bbox": "17.136, 57.884, 26.157, 62.373", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569738-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569738-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmkorlpvex_1", + "description": "The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Korpo (KOR) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Korpo C-Band Radar data files are available in RAW and UF format for October 19, 2010.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500030_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Bering Sea and Others from 1994-09-10 to 1994-10-10 (NCEI Accession 9500030)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-09-10", - "end_date": "1994-10-10", - "bbox": "-174.6, 59.8, -149.4, 71.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385969-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385969-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9500030_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea and Chukchi Sea. Data was collected from Ship ALPHA HELIX. The data was collected over a period spanning from September 10, 1994 to October 10, 1994. One CTD data set from 61 stations was submitted via FTP by Dr. Thomas Weingartner, Institute of Marine Science, University of Alaska, Fairbanks. AK. Data has been replaced on May 22, 2000 by accession 000148. The new accession was submitted by Mr. S. Stillwaugh NODC NW Liaison Officer.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9500031_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms From Bering Sea and Others from 1994-06-27 to 1995-01-06 (NCEI Accession 9500031)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-06-27", - "end_date": "1995-01-06", - "bbox": "-165.1, 54, -130, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385979-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385979-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500031_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska and Bering Sea as part of Inner SHelf Transfer and recycling (ISHTAR) project. Data was collected from Ships ALPHA HELIX and LITTLE DIPPER. The data was collected over a period spanning from June 27, 1994 to January 6, 1995. 7 sets of CTD data collected from seabird from 13 stations was received by NODC from Dr. C. Peter McRoy of University of Alaska, Institute of Marine Science, Fairbanks, AK via FTP. Data is in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9500032_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NEW HORIZON and Other Platforms From NE Pacific (limit-180) from 1993-10-02 to 1994-04-12 (NCEI Accession 9500032)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-10-02", - "end_date": "1994-04-12", - "bbox": "-126.000333, 44.6485, -124.177167, 47.284", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385990-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385990-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500032_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of \"Search for direct evidence of sulpher quenching of biomass...etc.\" project funded by NSF grant OCE 9203292. Data was collected from Ships NEW HORIZON, POINT SUR and WECOMA. The data was collected over a period spanning from October 2, 1993 to April 12, 1994. CTD data from 12 stations was submitted in three diskettes by Dr. Frederick Prahl of Oregon State University, Corvallis, OR.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9500048_Not Applicable", - "title": "Chemical, physical, and other data collected using fluorometer, laboratory analysis, visual analysis, and bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1992-01-28 to 1994-10-14 (NCEI Accession 9500048)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-01-28", - "end_date": "1994-10-14", - "bbox": "-132.983333, 31.733333, -120, 43.216667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386077-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386077-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500048_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 28, 1992 to October 14, 1994. Data were collected using fluorometer, laboratory analysis, visual analysis, and bottle casts in the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9500053_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA LAUNCHES and Other Platforms From Gulf of Alaska from 1993-06-22 to 1993-08-25 (NCEI Accession 9500053)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-06-22", - "end_date": "1993-08-25", - "bbox": "-153.6, 59.3, -150.8, 61.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386114-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386114-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500053_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska. Data was collected from NOAA LAUNCHES. The data was collected over a period spanning from June 22, 1993 to August 25, 1993. Data was submitted by Dr. Douglas Segar of University of Alaska, Anchorage, AK. This accession contains files with hydrocarbon, trace metal, and grain size analyses for the U.S. MMS report (OCS Study MMS 95-0009) Current Water Quality in Cook Inlet, Study. There are 9 Lotus 123 WK3 files, 1 Lotus 123 WK1 file, and 1 Lotus Freelance graphics file. Freelance File: MMSRPT.DRW Figure 12. Grain-size composition by station in Cook Inlet. Lotus Files: CHPHSEDR.WK1 Table 44. Chemical and statistical results for sediment replicate samples. Table 70. Chemical and physical results for sediment replicate samples. DSSMTLS.WK3 Table 34. Concentration of total metals in suspended solids. MTLWATC1.WK3 Table 28. Cruise 1 total metal concentrations for water. MTLWATC2.WK3 Table 29. Cruise 2 total metal concentrations for water. PAHSED2.WK3 Table 43. Summary of PAH concentrations for sediment replicates. SEDSHC.WK3 Table 41. Summary of saturated hydrocarbon concentrations for sediment replicates. SEDMTLS.WK3 Table 45. Summary of total metals in sediments. SSMTLS.WK3 Table 33. Summary of total metals in suspended solids. WATSHCC1.WK3 Table 24. Cruise 1 saturated hydrocarbon concentrations for water. WATSHCC2.WK3 Table 25. Cruise 2 saturated hydrocarbon concentrations for water.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9500075_Not Applicable", - "title": "CARBON DIOXIDE - PARTIAL PRESSURE (pCO2) - SEA and Other Data from MULTIPLE SHIPS From TOGA Area - Pacific (30 N to 30 S) from 1989-01-01 to 1989-12-31 (NCEI Accession 9500075)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-01-01", - "end_date": "1989-12-31", - "bbox": "-159, 22.7, -157.9, 22.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386263-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386263-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500075_Not%20Applicable", - "description": "Sea/air gas ratios data was collected in TOGA Area - Pacific (30 N to 30 S) between January 1, 1989 and December 31, 1989 during cruises conducted using ships WECOMA, KILA and MOANA WAVE as part of the Hawaii Ocean Time-Series (HOTS) project, to fulfill the requirements of the World Ocean Circulation Experiment (WOCE). Oxygen / Argon ratios; Oxygen / Nitrogen ratio and Oxygen-18 isotope / at depth vs. air were measured by University of Washington, Seattle, WA. Data was reported in Emerson, Quay, et al., \"O2, Ar, N2 and 222Rn in Surface Waters of the Subarctic Ocean: Net Biological O2 Production\", Global Biogeochemical Cycles, vol 5, pp49-69.", + "id": "gpmkrax2iphx_1", + "title": "GPM Ground Validation KRAX NEXRAD IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-12", + "bbox": "-80.5879, 33.5673, -76.3915, 37.7638", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982656022-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982656022-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkrax2iphx_1", + "description": "The GPM Ground Validation KRAX NEXRAD IPHEx dataset contain data from the KRAX NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500100_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from WECOMA and Other Platforms From NE Pacific (limit-180) from 1993-06-07 to 1993-09-20 (NCEI Accession 9500100)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-06-07", - "end_date": "1993-09-20", - "bbox": "-129, 36, -122, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386407-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386407-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500100_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Eastern Boundary Currents Accelerated Research Initiative. Data was collected from Ship WECOMA cruises # W9306A and W9308B. The data was collected over a period spanning from June 7, 1993 to September 20, 1993. Conventional CTD data from 100 casts and 165 segments (stations) of towed SEASOAR CTD data was submitted by Dr. Adrianna Huyer, Oregon State University, Corvallis OR. Four files of data and two Data Documentation Form files were received by NODC.", + "id": "gpmkrtx2olyx_1", + "title": "GPM Ground Validation KRTX NEXRAD OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-03", + "end_date": "2016-05-01", + "bbox": "-123.62, 45.2604, -122.322, 46.1723", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982676252-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982676252-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkrtx2olyx_1", + "description": "The GPM Ground Validation KRTX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 03 November 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500145_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms From Bering Sea from 1985-01-01 to 1995-01-06 (NCEI Accession 9500145)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-01-01", - "end_date": "1995-01-06", - "bbox": "-149.466667, 59.845, -149.358167, 60.025", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386649-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386649-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500145_Not%20Applicable", - "description": "The accession contains Conductivity, Temperature and Depth (CTD); Chlorophyll; and Nutrient data collected in Bering Sea as part of Inner Shelf Transfer and Recycling (ISHTAR) program collected from 1985-1995 using multiple ships. The compressed tar file ishtar.tar.Z contained ASCII files of the ISHTAR research project headed by Dr. C.P. McRoy of the Institute of Marine Science, University of Alaska Fairbanks. There are two types of files: 1. Chlorophyll (20), and 2. Nutrient (19). They are differentiated by filenames. Chlorophyll data files end in chl.dat and Nutrient data files end in nut.dat. The prefixes are cruise names. Good format information is provided with the data files.", + "id": "gpmktlxmc3e_1", + "title": "GPM GROUND VALIDATION KTLX NEXRAD MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-102.344, 31.1961, -92.2114, 39.47", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979617112-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979617112-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmktlxmc3e_1", + "description": "The GPM Ground Validation KTLX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500149_Not Applicable", - "title": "ALACE subsurface drifter data in South Pacific, for March 1995 (NCEI Accession 9500149)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-03-01", - "end_date": "1995-03-22", - "bbox": "-155.26, -70.46, 10.48, 35.12", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386671-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386671-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9500149_Not%20Applicable", - "description": "The ALACE (Autonomous LAgrangian Circulation Explorer) is a subsurface drifter, periodically rising to the surface to relay data to ARGOS. Instrument location is then obtained from ARGOS. An ALACE profiler collects data on ascent and relays a compressed data set to ARGOS. The amount of time spent at its neutrally-buoyant depth, and then at the surface, is variable, dependent upon the deployment site and the main scientific objective of the ALACE. Profiling ALACEs generally complete a cycle every 8-10 days, spending 24 hours at the surface transmitting to ARGOS.", + "id": "gpmktwxmc3e_1", + "title": "GPM GROUND VALIDATION KTWX NEXRAD MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-06-01", + "end_date": "2011-06-01", + "bbox": "-101.55, 34.86, -90.9161, 43.1339", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979618378-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979618378-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmktwxmc3e_1", + "description": "The GPM Ground Validation KTWX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500152_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from AURORA AUSTRALIS and Other Platforms from 1991-01-06 to 1992-03-06 (NCEI Accession 9500152)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1991-01-06", - "end_date": "1992-03-06", - "bbox": "67.5, -69.5, 135.4, -50.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386699-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386699-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9500152_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from Ship AURORA AUSTRALIS. The data was collected over a period spanning from January 6, 1991 and March 6, 1992. Data from 343 casts containing 185,102 records was submitted via File Transfer Protocol by Ms. Edwina Tanner, Antarctic Cooperative Research Centre, University of Tasmania, Australia.", + "id": "gpmktyxgcpex_1", + "title": "GPM GROUND VALIDATION KTYX NEXRAD GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-09", + "end_date": "2012-03-12", + "bbox": "-81.39, 39.62, -69.96, 47.89", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982757348-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982757348-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmktyxgcpex_1", + "description": "The GPM Ground Validation KTYX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9500160_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea from 1995-08-24 to 1995-09-01 (NCEI Accession 9500160)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-08-24", - "end_date": "1995-09-01", - "bbox": "163.988167, 66.665667, -168.998, 71.312667", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386823-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386823-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9500160_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected from 73 stations in Chukchi Sea and East Siberian Sea area. The station numbers are 1-6, 8-30, 32-74, 76. Data was collected from Ship ALPHA HELIX cruise HX189. The data was collected BY Dr. J. Grebmeier of the University of Tennessee over a period spanning from August 24, 1995 to September 1, 1995. This project was funded by Office of Naval Research under grant no: NAVY N00014-94-1-1042Grebmeier. Data in NODC file format F022 was submitted by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9600001_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea from 1995-09-10 to 1995-10-08 (NCEI Accession 9600001)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-09-10", - "end_date": "1995-10-08", - "bbox": "160, 52, -156, 71", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386837-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386837-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9600001_Not%20Applicable", - "description": "The Conductivity, Temperature and Depth (CTD) and other data were collected in Chukchi Sea as part of Office of Naval Research project. Data was collected from Ship ALPHA HELIX cruise HX-190. The data was collected over a period spanning from September 11, 1995 to October 8, 1995. Data was collected from 209 CTD stations by Institute of Marine Science, University of Alaska, Fairbanks, AK and was submitted by Dr Thomas Weingartner via File transfer Protocol in F022 file format of NODC.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9600025_Not Applicable", - "title": "AIR PRESSURE and Other Data from SHI YAN 3 From Antarctic and Others from 1992-11-09 to 1993-02-24 (NCEI Accession 9600025)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-11-09", - "end_date": "1993-02-24", - "bbox": "158, -2, 158, -2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386973-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386973-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9600025_Not%20Applicable", - "description": "The accession contains Surface Wave data and Sea Surface Temperature (SST) data collected as part of Tropical Ocean Global Atmosphere (TOGA) and Coupled Ocean-Atmosphere Response Experiment (COARE) International Project by a remote measuring buoy. The data was collected in Southern Oceans (> 60 degrees South), TOGA Area - Pacific (30 N to 30 S) from ship SHI YAN 3 between November 9, 1992 and February 24, 1993. Data was submitted by Chen Junchang of South China Sea Institute of Oceanology, Chinese Academy of Sciences. The data was made available by TOGA COARE International Project Office (TCIPO) via FTP. During the TOGA COARE Intensive Observing Period (IOP), the PRC R/V Shiyan #3 was stationed at 2 14'S, 158E for the three legs of data collection. Good format description accompanies the data.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9600039_Not Applicable", - "title": "Bacterial production, primary production, phytoplankton, zooplankton, biological analysis of fish, and massive fish length data from the EVRIKA and other platforms in the Antarctic from 23 February 1980 to 09 December 1988 (NCEI Accession 9600039)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1980-02-23", - "end_date": "1988-12-09", - "bbox": "-62.76, -63.98, -31.83, -50", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387013-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387013-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9600039_Not%20Applicable", - "description": "Bacterial production, primary production, phytoplankton, zooplankton, biological analysis of fish, and massive fish length data were collected from the EVRIKA and other platforms in the Antarctic. Data were collected by the Atlantic Research Institute of Fishing Economy and Ocean from 23 February 1980 to 09 December 1988.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9600065_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from THOMAS G. THOMPSON and Other Platforms From TOGA Area - Pacific (30 N to 30 S) from 1992-10-13 to 1992-12-13 (NCEI Accession 9600065)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-10-13", - "end_date": "1992-12-13", - "bbox": "-149.389635, -17.193678, -134.31313, 12.067383", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387122-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387122-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9600065_Not%20Applicable", - "description": "The data in this accession was collected as part of Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) in TOGA Area - Pacific (30 N to 30 S) using Ship THOMAS G. THOMPSON. CTD Data were collected by University of Washington, Seattle, WA between October 13, 1992 and December 13, 1992. Five Files of CTD data were submitted by Dr. Wilford Gardner. Good documentation accompanies this data.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9600140_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from NOAA Ship ALBATROSS IV and Other Platforms From NW Atlantic (limit-40 W) from 1995-02-11 to 1995-07-20 (NCEI Accession 9600140)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-02-11", - "end_date": "1995-07-20", - "bbox": "-69.237, 40.413, -65.647, 42.335", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387550-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387550-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9600140_Not%20Applicable", - "description": "Hydrochemical, hydrophysical, and other data were collected from the ENDEAVOR and NOAA Ship ALBATROSS IV from February 11, 1995 to July 20, 1995. Data were submitted by Dr. David Mountain from the US DOC; NOAA; NATIONAL MARINE FISHERIES SERVICE - WOODS HOLE. These data were collected using meteorological sensors, secchi disks, transmissometers, bottle casts, and CTD casts in the Northwest Atlantic Ocean.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9600151_Not Applicable", - "title": "ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From World-Wide Distribution from 1992-11-01 to 1993-02-28 (NCEI Accession 9600151)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-11-01", - "end_date": "1993-02-28", - "bbox": "140, -10, 180, 10", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387603-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387603-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9600151_Not%20Applicable", - "description": "Not provided", + "id": "gpmkumlpvex_1", + "title": "GPM Ground Validation C-band Kumpula (KUM) Radar LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-01", + "end_date": "2011-01-31", + "bbox": "15.914, 55.722, 34.012, 64.687", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569868-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569868-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmkumlpvex_1", + "description": "The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Kumpula (KUM) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Kumpula C-band Radar data files are available in RAW and UF format, with browse imagery in PNG format from September 01, 2010 through January 31, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700022_Not Applicable", - "title": "Chemical and temperature profile data from CTD casts in the East China Sea, Sea of Japan, and North Pacific Ocean (NCEI Accession 9700022)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "", - "end_date": "", - "bbox": "123.066667, 3, 147.033333, 45.583333", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387774-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387774-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2hlbWljYWwgYW5kIHBoeXNpY2FsIG9jZWFub2dyYXBoaWMgcHJvZmlsZSBkYXRhIGNvbGxlY3RlZCBmcm9tIGN0ZCBjYXN0cyBhYm9hcmQgdGhlIGFyY3RpYyBpbiB0aGUgZ3VsZiBvZiBtZXhpY28gZnJvbSAyMDEwLTA5LTA5IHRvIDIwMTAtMDktMTQgaW4gcmVzcG9uc2UgdG8gdGhlIGRlZXB3YXRlciBob3Jpem9uIG9pbCBzcGlsbCBldmVudCAobmNlaSBhY2Nlc3Npb24gMDA2ODk1NSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDY4OTU1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI1MDIsMV0iLCJ1bW0iOiJbXCJjaGVtaWNhbCBhbmQgcGh5c2ljYWwgb2NlYW5vZ3JhcGhpYyBwcm9maWxlIGRhdGEgY29sbGVjdGVkIGZyb20gY3RkIGNhc3RzIGFib2FyZCB0aGUgYXJjdGljIGluIHRoZSBndWxmIG9mIG1leGljbyBmcm9tIDIwMTAtMDktMDkgdG8gMjAxMC0wOS0xNCBpbiByZXNwb25zZSB0byB0aGUgZGVlcHdhdGVyIGhvcml6b24gb2lsIHNwaWxsIGV2ZW50IChuY2VpIGFjY2Vzc2lvbiAwMDY4OTU1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwNjg5NTVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjUwMiwxXSJ9/gov.noaa.nodc%3A9700022_Not%20Applicable", - "description": "Chemical and temperature profile data were collected from CTD casts in the East China Sea, Sea of Japan, and North Pacific Ocean. Data were submitted by the Japan Meteorological Agency (JMA).", + "id": "gpmkvnxmc3e_1", + "title": "GPM GROUND VALIDATION KVNX NEXRAD MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-103.286, 32.6042, -92.9706, 40.8778", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979618519-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979618519-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmkvnxmc3e_1", + "description": "The GPM Ground Validation KVNX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E). The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700025_Not Applicable", - "title": "Chemical, physical, and other data collected using fluorometer, laboratory analysis, visual analysis, and bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1994-01-21 to 1996-04-30 (NCEI Accession 9700025)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1994-01-21", - "end_date": "1996-04-30", - "bbox": "-124.3, 29.9, -117.3, 35.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387805-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387805-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700025_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 21, 1994 to April 30, 1996. Data were collected using fluorometer, laboratory analysis, visual analysis, and bottle casts in the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", + "id": "gpmlidargcpex_1", + "title": "GPM GROUND VALIDATION AEROSOL AND WATER VAPOR LIDAR QUICKLOOKS GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-18", + "end_date": "2012-03-03", + "bbox": "-79.79, 44.22, -79.77, 44.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979619825-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979619825-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmlidargcpex_1", + "description": "The GPM Ground Validation Aerosol and Water Vapor Lidar Quicklooks GCPEx dataset contains imagery generated from the GPM Cold-season Precipitation Experiment (GCPEx) campaign during January - March 2012 in Canada. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The system is configured to run semi-autonomously and shuts down automatically for the duration of rain events. This dataset is comprised of measurements from two Lidar systems: the Semi Autonomous Tropospheric Aerosol Lidar and the Tropospheric Water Vapor Lidar.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700040_Not Applicable", - "title": "Chemical, physical, and other data collected using bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1995-01-04 to 1996-05-03 (NCEI Accession 9700040)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-04", - "end_date": "1996-05-03", - "bbox": "-124.326667, 30.16, -117.303333, 35.09", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387897-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387897-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700040_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 4, 1995 to May 3, 1996. Data were collected using bottle casts from the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", + "id": "gpmlipiphx_1", + "title": "GPM Ground Validation Lightning Instrument Package (LIP) IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-14", + "bbox": "-121.853, 26.7991, -71.6108, 36.6427", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995570101-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995570101-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmlipiphx_1", + "description": "The GPM Ground Validation Lightning Instrument Package (LIP) IPHEx dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown aboard a NASA ER-2 high-altitude aircraft during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. These data files are available in ASCII format and browse imagery in PNG format from May 1, 2014 through June 14, 2014.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700063_Not Applicable", - "title": "AIR PRESSURE and Other Data from NOODIN From Great Lakes from 1995-06-20 to 1996-11-14 (NCEI Accession 9700063)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-06-20", - "end_date": "1996-11-14", - "bbox": "-91.7, 47, -91.7, 47", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388236-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388236-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700063_Not%20Applicable", - "description": "Conductivity, temperature, depth, pressure, transmissivity, and fluorsecence were collected from the NOODIN from June 20, 1995 to October 26, 1995 and May 30, 1996 to November 14, 1996. Data were submitted by Dr. Elise A. Ralph from the University of Minnesota; Large Lakes Observatory. These data were collected using transmissometer, fluorometer, and CTD casts in the Two Harbors, MN to Port Wing, WI on the Lake Superior.", + "id": "gpmmascolyx_1", + "title": "GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-10", + "end_date": "2015-12-13", + "bbox": "-129.184, 39.1659, -119.73, 49.4608", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979620173-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979620173-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmascolyx_1", + "description": "The GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX dataset consists of microwave radiance measurements collected during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by the MASC aboard the NASA DC-8 aircraft, for dates between November 10, 2016 and December 13, 2016. The data are provided in HDF-EOS5 format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700115_Not Applicable", - "title": "Chemical and temperature profile data from bottle and CTD casts in the Pacific Ocean as part of the Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) project, from 1992-03-19 to 1992-10-21 (NCEI Accession 9700115)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-03-19", - "end_date": "1992-10-21", - "bbox": "-145.489, -12, -134.9117, 12.0317", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388395-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388395-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9700115_Not%20Applicable", - "description": "Chemical and temperature profile data were collected using bottle and CTD casts from the THOMAS THOMPSON in the Pacific Ocean from March 19, 1992 to October 21, 1992. Data were collected three different universities and a institution; Oregon State University, University of Washington, Woods Hole Oceanographic Institution, and University of Maryland; Horn Point Environmental Laboratory as part of the Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) project.", + "id": "gpmmastmetlpvex_1", + "title": "GPM Ground Validation Kumpula Mast Meteorological Data LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-16", + "end_date": "2010-10-21", + "bbox": "24.9517, 60.1925, 24.9717, 60.2125", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979620314-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979620314-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGtjYWUgbmV4cmFkIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWtjYWUyaXBoeFwiLFwiMVwiLDE5ODA3MjcwOTgsMTNdIn0%3D/gpmmastmetlpvex_1", + "description": "The GPM Ground Validation Kumpula Mast Meteorological Data LPVEx dataset is comprised of temperature, radiation, and wind measurements collected by the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) Kumpula Mast in Helsinki, Finland. This occurred during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological dataset files are available from September 17 through October 21, 2010 in ASCII text format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700116_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From TOGA Area - Pacific (30 N to 30 S) from 1992-03-19 to 1992-10-21 (NCEI Accession 9700116)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-03-19", - "end_date": "1992-10-21", - "bbox": "-145, -12, -140, 0", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388417-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388417-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700116_Not%20Applicable", - "description": "Not provided", + "id": "gpmmettecgcpex_1", + "title": "GPM GROUND VALIDATION METEOROLOGICAL TOWER ENVIRONMENT CANADA GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-01", + "bbox": "-79.93, 44.18, -79.64, 44.69", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979620588-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979620588-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmettecgcpex_1", + "description": "The GPM Ground Validation Meteorological Tower Environment Canada GCPEx dataset provides temperature, relative humidity, 10 m winds, pressure and solar radiation data collected by a suite of standard meteorological instruments attached to a 10 m met tower. The GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data was gathered over the Ontario region of Canada in 2012 from January 15th through March 1st. Browse images are available online. The observation station was assembled by Automated Transportable Meteorological Observation Station (ATMOS).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700205_Not Applicable", - "title": "AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1992-02-02 to 1992-10-21 (NCEI Accession 9700205)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-02-02", - "end_date": "1992-10-21", - "bbox": "-146.293, -12.864, -104.392, 2.999", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388823-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388823-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700205_Not%20Applicable", - "description": "Not provided", + "id": "gpmmisrepgcpex_1", + "title": "GPM GROUND VALIDATION MISSION REPORTS GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-09-06", + "end_date": "2012-05-11", + "bbox": "-80.7563, 42.7243, -67.7583, 46.9027", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979621014-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979621014-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmisrepgcpex_1", + "description": "The GPM Ground Validation Mission Reports GCPEx dataset consists of various reports filed by the scientists during the GPM Cold-season Precipitation Experiment (GCPEx) campaign which took place from January 15 - February 29, 2012 in Ontario, Canada; however, this dataset spans from September 4, 2011 to May 11, 2012. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinating model simulations of precipitating snow. Report categories include the Mission Scientist, Mission Manager, Instrument Scientists, Weather Forecasts and Plan of Day. Many reports have additional information attached.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700207_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-04 to 1992-09-12 (NCEI Accession 9700207)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-02-04", - "end_date": "1992-09-12", - "bbox": "-140.865, -12.1793, -134.7875, 12.0317", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388838-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388838-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700207_Not%20Applicable", - "description": "Not provided", + "id": "gpmmisrepifld_1", + "title": "GPM GROUND VALIDATION CAMPAIGN REPORTS IFLOODS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-22", + "end_date": "2014-04-25", + "bbox": "-92.3, 37.47, -91.54, 48.99", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979622469-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979622469-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmmisrepifld_1", + "description": "The GPM Ground Validation Campaign Reports IFloodS dataset consists of various reports filed by the scientists during the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment, which took place from April to mid-June 2013 in Iowa. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. Included in this dataset are Mission Scientist, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700208_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-08 to 1992-09-14 (NCEI Accession 9700208)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-02-08", - "end_date": "1992-09-14", - "bbox": "-140.9418, -12.035, -134.953, 8.9933", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388854-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388854-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700208_Not%20Applicable", - "description": "Not provided", + "id": "gpmmisrepiphx_1", + "title": "GPM GROUND VALIDATION CAMPAIGN REPORTS IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-03-06", + "end_date": "2014-06-16", + "bbox": "-83.09, 35.08, -81, 36.02", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979623084-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979623084-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmmisrepiphx_1", + "description": "The Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) campaign was centered in the Southern Appalachians and spanned into the Piedmont and Coastal Plain regions of North Carolina. The campaign sought to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The GPM Ground Validation Mission Reports IPHEx dataset contains reports from the intense campaign period which occurred during May 1, 2014 to June 13, 2014. This dataset consists of various reports filed by the scientists during the campaign. This dataset includes flight reports, weather forecasts, GPM flight forecasts, instrument reports, mission science reports, and plan-of-day reports. Many reports have additional information included as attachments.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700210_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-04 to 1992-09-10 (NCEI Accession 9700210)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-02-04", - "end_date": "1992-09-10", - "bbox": "-140.0498, -12.0082, -134.9867, 12.0133", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388862-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388862-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9700210_Not%20Applicable", - "description": "Not provided", + "id": "gpmmisrepmc3e_1", + "title": "GPM GROUND VALIDATION CAMPAIGN REPORTS MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-01-27", + "end_date": "2011-06-03", + "bbox": "-105.64, 27.957, -91.3954, 48.5123", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979624154-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979624154-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmmisrepmc3e_1", + "description": "The GPM Ground Validation Campaign Reports MC3E dataset consists of various reports filed by the scientists during the Midlatitude Continental Convective Clouds Experiment (MC3E) campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Several of the reports are from the planning, test flights, and preparation. Included in this dataset are Mission Scientist, Mission Manager, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9700238_Not Applicable", - "title": "BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1995-11-13 to 1995-11-14 (NCEI Accession 9700238)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-11-13", - "end_date": "1995-11-14", - "bbox": "-64.66, 10.5, -64.66, 10.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385008-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385008-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYXVyb3JhIDE5OTMgeGJ0J3MgdGVtcGVyYXR1cmUgbWVhc3VyZW1lbnRzIGNvbGxlY3RlZCB1c2luZyB4YnQgZnJvbSBhdXJvcmEgYXVzdHJhbGlzIGluIHRoZSB0YXNtYW4gc2VhIGR1cmluZyAxOTkzIChuY2VpIGFjY2Vzc2lvbiAwMDQzMTY3KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjAwNDMxNjdcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM3MjQzMSwxXSIsInVtbSI6IltcImF1cm9yYSAxOTkzIHhidCdzIHRlbXBlcmF0dXJlIG1lYXN1cmVtZW50cyBjb2xsZWN0ZWQgdXNpbmcgeGJ0IGZyb20gYXVyb3JhIGF1c3RyYWxpcyBpbiB0aGUgdGFzbWFuIHNlYSBkdXJpbmcgMTk5MyAobmNlaSBhY2Nlc3Npb24gMDA0MzE2NylcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzowMDQzMTY3XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzNzI0MzEsMV0ifQ%3D%3D/gov.noaa.nodc%3A9700238_Not%20Applicable", - "description": "Not provided", + "id": "gpmmisrepolyx_1", + "title": "GPM Ground Validation Campaign Reports OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-10-23", + "end_date": "2016-01-22", + "bbox": "-130.045, 34.6142, -117.881, 49.634", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979624676-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979624676-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmmisrepolyx_1", + "description": "The GPM Ground Validation Campaign Reports OLYMPEX dataset consists of flight reports, weather forecasts, instrument reports, scientist summaries, and plan-of-day reports collected during the Global Precipitation Measurement (GPM) Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the GPM. These campaign reports were collected during the intense operating period which occurred during November 2015 to February 2016. The various campaign reports are available in PDF, JPG, PNG, and Microsoft Powerpoint and Word formats, some of which are located within tarred data files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800027_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from LITTLE DIPPER from 1995-03-01 to 1998-02-06 (NCEI Accession 9800027)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-03-01", - "end_date": "1998-02-06", - "bbox": "-149.5, 59.8, -149.4, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385859-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385859-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9800027_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrms_1", + "title": "GPM Ground Validation Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-03-02", + "end_date": "2018-10-30", + "bbox": "-130, 20, -60, 55", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980955793-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980955793-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrms_1", + "description": "The GPM Ground Validation Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product dataset contains precipitation rate and type estimates, quality control products, and precipitation corrective factors products. These data products were created using the NOAA MRMS System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RAP) model analysis fields, and gauge data. It should be noted that these data products are not standard MRMS. Significant post-processing is applied to MRMS to generate products specifically adapted to satellite purposes and needs over North America. These data are available from March 2, 2014 through October 30, 2018 in ASCII format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800037_Not Applicable", - "title": "Chemical, temperature, pressure, and salinity data from bottle and CTD casts in the Arabian Sea as part of the Joint Global Ocean Flux Study / Arabian Sea Process Studies (JGOFS/Arabian) project, from 1995-07-17 to 1995-09-15 (NCEI Accession 9800037)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-07-17", - "end_date": "1995-09-15", - "bbox": "57.2998, 9.9113, 68.751, 22.527", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385946-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385946-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9800037_Not%20Applicable", - "description": "Chemical, temperature, pressure, and salinity data were collected using bottle and CTD casts from the R/V Thomas G. Thompson in the Arabian Sea. Data were collected from July 17, 1995 to September 15, 1995. Data were collected by four different institution; Old Dominion University, Bermuda Biological Station for Research, Virginia Institute of Marine Science, and Woods Hole Oceanographic Institution as part of the Joint Global Ocean Flux Study / Arabian Sea Process Studies (JGOFS/Arabian) project.", + "id": "gpmmrrdukeiphx_1", + "title": "GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-15", + "bbox": "-83.0743, 35.5843, -82.5814, 35.8894", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979626644-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979626644-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmmrrdukeiphx_1", + "description": "The GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 1, 2014 through June 15, 2014. The dataset contains measured and derived data from three MRR instruments placed in separate locations within the study region. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. Data files are available in ASCII data format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800052_Not Applicable", - "title": "BENTHIC SPECIES and Other Data from UNKNOWN and Other Platforms from 1989-01-01 to 1997-12-31 (NCEI Accession 9800052)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1989-01-01", - "end_date": "1997-12-31", - "bbox": "-123.6, 47.1, -122.4, 49", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386070-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386070-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9800052_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrecgcpex2_2", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MICRO RAIN RADAR (MRR) GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-01", + "end_date": "2012-03-14", + "bbox": "-81, 43.5, -78, 46.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979627039-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979627039-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmmrrecgcpex2_2", + "description": "The GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx V2 dataset was collected from the Micro Rain Radar (MRR) during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada during the winter season 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Operating at 24 GHz the MRR, a vertically pointing Doppler radar, retrieved quantitative rain rates, drop size distributions, radar reflectivity, and fall velocities on vertical profiles up to several kilometers above the unit. The MRR used during GCPEX is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/). Version 2 of this dataset became active on April 30, 2015.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800085_Not Applicable", - "title": "AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1995-01-09 to 1995-12-28 (NCEI Accession 9800085)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-09", - "end_date": "1995-12-28", - "bbox": "56.5, 9.9, 68.8, 24.1", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386309-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386309-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800085_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrhymex_1", + "title": "GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA HYMEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-09-07", + "end_date": "2012-11-12", + "bbox": "4.06, 41.8, 12.5, 44.2", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979627522-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979627522-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrrhymex_1", + "description": "The GPM Ground Validation NASA Micro Rain Radar (MRR) HyMeX is a vertically pointing Doppler radar that obtained measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor during the HYdrological cycle in Mediterranean EXperiment (HyMeX) campaign. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global change. Furthermore, this campaign aimed to improve observational and modelling systems, better predict extreme events, simulate the long-term water-cycle, and provide guidelines for adaptation measures. Special Observation Period 1 (SOP1), which was from September 5 to November 6, 2012, was dedicated to heavy precipitation and flash-flooding. More information about HyMeX is available at http://www.hymex.org/.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800092_Not Applicable", - "title": "BACTERIA - BACTERIAL DENSITY and Other Data from USS CHAUMONT from 1995-01-09 to 1995-12-26 (NCEI Accession 9800092)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-09", - "end_date": "1995-12-26", - "bbox": "57.3, 9.3, 68.8, 22.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386381-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386381-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800092_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrricepop_1", + "title": "GPM Ground Validation Micro Rain Radar (MRR) ICE POP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-11-01", + "end_date": "2018-03-01", + "bbox": "128.717, 37.6754, 128.808, 37.74", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979627999-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979627999-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrricepop_1", + "description": "The GPM Ground Validation Micro Rain Radar (MRR) ICE POP dataset was collected during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data collected by two MRR instruments from November 1, 2017 to March 1, 2018. These data are available in netCDF-3 and ASCII text formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800095_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1995-01-08 to 1995-09-12 (NCEI Accession 9800095)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-08", - "end_date": "1995-09-12", - "bbox": "57.3, 10, 68.8, 22.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386411-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386411-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800095_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrlpvex_1", + "title": "GPM Ground Validation Micro Rain Radar (MRR) LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-05-19", + "end_date": "2011-03-30", + "bbox": "21.3281, 59.3778, 25.6294, 60.4864", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979628511-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979628511-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrrlpvex_1", + "description": "The GPM Ground Validation Micro Rain Radar (MRR) LPVEx dataset was collected during the Global Precipitation Measurement (GPM) mission Ground Validation Light Precipitation Validation Experiment (LPVEx) field campaign. The LPVEx field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high altitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. The dataset contains measured and derived data from MRR instruments placed at four remote sites (Jarvenpaa, Emasalo, Harmaja, and the research vessel Aranda). Data files are available in ASCII data format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800118_Not Applicable", - "title": "Chemical, physical, and other data collected using bottle casts from NOAA Ship DAVID STARR JORDAN, ROGER REVILLE, and NEW HORIZON as part of the California Cooperative Fisheries Investigation from 1996-08-07 to 1997-04-19 (NCEI Accession 9800118)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-08-07", - "end_date": "1997-04-19", - "bbox": "-124.3, 29.8, -117.3, 35.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386498-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386498-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800118_Not%20Applicable", - "description": "Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN, ROGER REVILLE, and NEW HORIZON from August 7, 1996 to April 19, 1997. Data were collected using bottle casts in the Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project.", + "id": "gpmmrrnaachiphx_1", + "title": "GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA ACHIEVE IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-06", + "end_date": "2014-06-15", + "bbox": "-83.176, 35.482, -83.044, 35.562", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979629744-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979629744-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrrnaachiphx_1", + "description": "The GPM Ground Validation Micro Rain Radar (MRR) NASA ACHIEVE IPHEx dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 1, 2014 through June 15, 2014. The dataset includes data from the MRR instrument, which is part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM\u2013CW) radar that measures Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation. Data files are available in ASCII 'ave' data format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9800119_Not Applicable", - "title": "BAROMETRIC PRESSURE and Other Data from ALPHA HELIX from 1997-10-10 to 1998-05-14 (NCEI Accession 9800119)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1997-10-10", - "end_date": "1998-05-14", - "bbox": "-149.5, 57.8, -147.1, 60.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386507-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386507-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800119_Not%20Applicable", - "description": "Hydrophysical, hydrochemical, and other data were collected from CTD casts in the Gulf of Alaska from the R/V Alpha Helix from 10 October 1997 to 14 May 1998. Data were collected as part of GLOBal oceans ECosystems Dynamics Research (GLOBEC) project. Data include profiles of temperature, salinity, sigma-theta, deltas, oxygen concentration, and fluorescence.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9800123_Not Applicable", - "title": "AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1988-11-27 to 1998-07-22 (NCEI Accession 9800123)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1988-11-27", - "end_date": "1998-07-22", - "bbox": "-124.1, 44.8, -124.1, 44.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386555-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386555-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A9800123_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9800129_Not Applicable", - "title": "Chemical, zooplankton, and phytoplankton data from CTD and other instruments in the Mississippi River and Gulf of Mexico as part of the Nutrient Enhanced Coastal Ocean Productivity (NECOP) project, from 1985-07-15 to 1993-05-12 (NCEI Accession 9800129)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1985-07-15", - "end_date": "1993-05-12", - "bbox": "-90.28, 28.52, -89.41, 29.7", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386593-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386593-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9800129_Not%20Applicable", - "description": "Chemical, zooplankton, and phytoplankton data were collected using bottle, CTD, fluorometer, oxygen meter, GPS, plankton trap, and sediment sampler from NOAA Ship MALCOLM BALDRIGE and NOAA Ship RESEARCHER. Data were collected from the Mississippi River and Gulf of Mexico from July 15, 1985 to May 12, 1993. Data were submitted by Dr. Nancy Rabalais from the Louisiana Universities Marine Consortium as part of the Nutrient Enhanced Coastal Ocean Productivity (NECOP) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9800160_Not Applicable", - "title": "Chemical data collected from THOMAS G. THOMPSON using CTD and bottle casts in Arabian Sea from 1995-03-07 to 1995-08-15 (NCEI Accession 9800160)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-03-07", - "end_date": "1995-08-15", - "bbox": "57, 9, 68, 22", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386883-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386883-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800160_Not%20Applicable", - "description": "Chemical data were collected using CTD and bottle casts in the Arabian Sea from THOMAS G. THOMPSON. Data were collected from 07 March 1995 to 15 August 1995 by Lamont-Doherty Earth Observatory with support from the U.S. Joint Global Ocean Flux Study / Arabian Sea Process Studies (JOGFS/Arabian Sea) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9800161_Not Applicable", - "title": "Chemical data collected from THOMAS G. THOMPSON using CTD and bottle casts in Arabian Sea from 1995-01-08 to 1995-11-26 (NCEI Accession 9800161)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-08", - "end_date": "1995-11-26", - "bbox": "56, 9, 68, 23", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386911-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089386911-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9800161_Not%20Applicable", - "description": "Chemical data were collected using CTD and bottle casts in the Arabian Sea from THOMAS G. THOMPSON. Data were collected from 08 January 1995 to 26 November 1995 by Harvard University with support from the U.S. Joint Global Ocean Flux Study / Arabian Sea Process Studies (JOGFS/Arabian Sea) project.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9800197_Not Applicable", - "title": "Algal species and other data collected using photographs in the southern coast of the island of Ofu from 1992-09-08 to 1992-09-11 (NCEI Accession 9800197)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-09-08", - "end_date": "1992-09-11", - "bbox": "-169.7, -14.2, -169.7, -14.2", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387161-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387161-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9800197_Not%20Applicable", - "description": "The US Congress has authorized the Department of the Interior to enter into a lease agreement with the Governor of American Samoa to establish the National Park of American Samoa. This park would include a nearshore reef along the southern coast of the island of Ofu. This fringing reef on Ofu provides a natural lagoon habitat which is uncommon in American Samoa. This area supports a local subsistence fishery and provides excellent opportunities for diving and snorkeling. A survey of the nearshore reefs in the area of the proposed national park at Ofu was conducted between 7-12 September, 1992. The goals of the survey were to: 1) collect baseline data on the current status of the reefs and reef resources in the area, 2) to establish long-term monitoring stations to enable documentation of the health of the reef communities through time, and 3) to contribute information to a comprehensive coastal resource survey of Tutuila and the Manua Islands. The overall purpose of the work was to design and implement the biotic component of a reef monitoring program for the areas within and adjacent to the proposed national park site.", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9800199_Not Applicable", - "title": "BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1996-07-09 to 1997-07-09 (NCEI Accession 9800199)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-07-09", - "end_date": "1997-07-09", - "bbox": "-64.7, 10.5, -64.7, 10.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387176-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387176-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9800199_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9900010_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From Arabian Sea from 1995-03-18 to 1997-08-13 (NCEI Accession 9900010)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-03-18", - "end_date": "1997-08-13", - "bbox": "56.5, 10, 68.8, 24.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387251-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387251-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9900010_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9900014_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From Arabian Sea from 1995-01-09 to 1995-09-12 (NCEI Accession 9900014)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-01-09", - "end_date": "1995-09-12", - "bbox": "57.3, 10, 68.8, 22.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387273-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387273-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9900014_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9900015_Not Applicable", - "title": "CARBON DIOXIDE - PARTIAL PRESSURE (pCO2) - SEA and Other Data from NOAA Ship DISCOVERER and Other Platforms from 1987-05-19 to 1994-01-07 (NCEI Accession 9900015)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1987-05-19", - "end_date": "1994-01-07", - "bbox": "-179.9, -70.3, 179.9, 54.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387289-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387289-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiY2FyYm9uIGRpb3hpZGUgLSBwYXJ0aWFsIHByZXNzdXJlIChwY28yKSAtIHNlYSBhbmQgb3RoZXIgZGF0YSBmcm9tIG11bHRpcGxlIHNoaXBzIGZyb20gdG9nYSBhcmVhIC0gcGFjaWZpYyAoMzAgbiB0byAzMCBzKSBmcm9tIDE5ODktMDEtMDEgdG8gMTk4OS0xMi0zMSAobmNlaSBhY2Nlc3Npb24gOTUwMDA3NSlcIixcIk5PQUFfTkNFSVwiLFwiZ292Lm5vYWEubm9kYzo5NTAwMDc1XCIsXCJub3QgYXBwbGljYWJsZVwiLDIwODkzODYyNjMsMV0iLCJ1bW0iOiJbXCJjYXJib24gZGlveGlkZSAtIHBhcnRpYWwgcHJlc3N1cmUgKHBjbzIpIC0gc2VhIGFuZCBvdGhlciBkYXRhIGZyb20gbXVsdGlwbGUgc2hpcHMgZnJvbSB0b2dhIGFyZWEgLSBwYWNpZmljICgzMCBuIHRvIDMwIHMpIGZyb20gMTk4OS0wMS0wMSB0byAxOTg5LTEyLTMxIChuY2VpIGFjY2Vzc2lvbiA5NTAwMDc1KVwiLFwiTk9BQV9OQ0VJXCIsXCJnb3Yubm9hYS5ub2RjOjk1MDAwNzVcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjA4OTM4NjI2MywxXSJ9/gov.noaa.nodc%3A9900015_Not%20Applicable", - "description": "Not provided", - "license": "proprietary" - }, - { - "id": "gov.noaa.nodc:9900022_Not Applicable", - "title": "AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1998-08-01 to 1998-12-31 (NCEI Accession 9900022)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1998-08-01", - "end_date": "1998-12-31", - "bbox": "-124.1, 44.6, -124, 44.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387361-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387361-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A9900022_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrnagcpex2_2", + "title": "GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-10-24", + "end_date": "2012-03-13", + "bbox": "-79.7814, 44.1806, -79.7175, 44.2336", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979629962-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979629962-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmmrrnagcpex2_2", + "description": "The GPM Ground Validation NASA Micro Rain Radar (MRR) GCPEx dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the GPM Cold-season Precipitation Experiment (GCPEx), which took place in Canada during Winter 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz, and it is the second generation of the instrument manufactured by METEK (http://metek.de/product/mrr-2/). NASA MRR data was collected from late October 2011 through March 2013. Version 2 of the dataset became active on 13-May-2015.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900054_Not Applicable", - "title": "Algal species and other data collected using photographs in the South Pacific Ocean from 1992-01-02 to 1992-12-31 (NCEI Accession 9900054)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1992-01-02", - "end_date": "1992-12-31", - "bbox": "-170.8, -14.4, -170.6, -14.3", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387610-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387610-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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.noaa.nodc%3A9900054_Not%20Applicable", - "description": "Data from a 1992 survey of the American Samoa coral reef ecosystem was received from Dr. Barry Smith of the University of Guam. The digital files replace a paper report submitted to NODC in Fall 1998. This study was part of the American Samoa Coastal Resources Inventory (ASCRI), partly funded by Sea Grant. His component of the study focuses on a systematic inventory of conspicuous marine macro-invertebrates observations.", + "id": "gpmmrrnaifld_1", + "title": "GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IFLOODS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-11", + "end_date": "2013-06-16", + "bbox": "-92.5, 41.8, -91.8, 42.3", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979630589-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979630589-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrrnaifld_1", + "description": "The GPM Ground Validation Micro Rain Radar (MRR) NASA IFloodS dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provided measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor during the Iowa Flood Study (IFloodS), which took place in eastern Iowa during the spring of 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. A total of four MRRs were deployed, each adjacent to a two-dimensional video disdrometer (2DVD). Each MRR-2DVD site had one or more Autonomous Parsivel2 Unit (APU) with tipping bucket rain gauges either collocated or within 4-8 km away. The dataset covers the period of April 11, 2013 through June 16, 2013, but each MRR deployed may not contain data during the entirety of this period.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900094_Not Applicable", - "title": "AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-01-01 to 1999-04-29 (NCEI Accession 9900094)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-01-01", - "end_date": "1999-04-29", - "bbox": "-124, 44.6, -124, 44.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387865-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089387865-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A9900094_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrnaiphx_1", + "title": "GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-22", + "end_date": "2014-10-17", + "bbox": "-83.1, 35.22, -83.05, 35.52", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979631125-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979631125-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrrnaiphx_1", + "description": "The GPM Ground Validation NASA Micro Rain Radar (MRR) is a vertically pointing Doppler radar which provided measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx), which took place in western North Carolina during the spring of 2014. A total of four MRRs were deployed, some co-located with other instruments and some were moved to different locations during the campaign. The dataset covers the period of April 22, 2014 through June 16, 2014, but each MRR deployed may not contain data during the entirety of this period. Two MRRs remained deployed through October 17, 2014 and data from these are also included in this dataset.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900119_Not Applicable", - "title": "AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-05-01 to 1999-06-30 (NCEI Accession 9900119)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-05-01", - "end_date": "1999-06-30", - "bbox": "-124, 44.6, -124, 44.6", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388259-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388259-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=eyJqc29uIjoiW1wiYWRpYWJhdGljIGNoYXJ0c1wiLFwiTk9BQV9OQ0VJXCIsXCJOQ0VJIFdlYkFSVElTOiBXQkFOMzFcIixcIm5vdCBhcHBsaWNhYmxlXCIsMjEwNzA5MzI1OSwxXSIsInVtbSI6IltcImFkaWFiYXRpYyBjaGFydHNcIixcIk5PQUFfTkNFSVwiLFwiTkNFSSBXZWJBUlRJUzogV0JBTjMxXCIsXCJub3QgYXBwbGljYWJsZVwiLDIxMDcwOTMyNTksMV0ifQ%3D%3D/gov.noaa.nodc%3A9900119_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrnamc3e_1", + "title": "GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-97.4872, 36.605, -97.4869, 36.6058", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979632108-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979632108-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmmrrnamc3e_1", + "description": "The GPM Ground Validation NASA Micro Rain Radar (MRR) MC3E dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in Oklahoma during the Spring of 2011. The MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz, and is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/).", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900158_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from OCEANUS and Other Platforms from 1993-03-12 to 1993-03-23 (NCEI Accession 9900158)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-03-12", - "end_date": "1993-03-23", - "bbox": "-67.2, 31.7, -64.1, 36.8", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388472-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388472-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9900158_Not%20Applicable", - "description": "Not provided", + "id": "gpmmrrolyx_1", + "title": "GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-10-30", + "end_date": "2016-05-22", + "bbox": "-123.993, 47.3599, -123.499, 47.9704", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979632302-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979632302-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmmrrolyx_1", + "description": "The GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation OLYMPEX field campaign held at Washington\u2019s Olympic Peninsula from October 31, 2014 through May 22, 2016. The dataset contains measured and derived data from MRR instruments placed in four separate locations within the study region. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. Data files are available in ASCII data format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900159_Not Applicable", - "title": "1999 Field Season CTD, chlorophyll A and transmissivity data from the CRETM and LMER Projects in the Columbia River and Frasier River estuaries, 19990616 to 19990718 (NCEI Accession 9900159)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-06-16", - "end_date": "1999-07-18", - "bbox": "-124, 45, -122, 49.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388479-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388479-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections/gov.noaa.nodc%3A9900159_Not%20Applicable", - "description": "Not provided", + "id": "gpmmwrdukeiphx_1", + "title": "GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-15", + "bbox": "-83.0948, 35.5199, -82.6604, 35.8046", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979634924-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979634924-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmmwrdukeiphx_1", + "description": "The GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx dataset consists of data collected by the MWR, which is a sensitive microwave radiometer that detects the microwave radiances at two frequencies: 23.8 and 31.4 GHz. The measurements are are used to determine the presence of vapor and liquid water molecules in the atmosphere along with other derived parameters. These data were obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) field experiment, which was held in North Carolina with the goal to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These data are available for May 1, 2014 through June 15, 2014 and are in netCDF-3 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900164_Not Applicable", - "title": "BACTERIA - BACTERIAL DENSITY and Other Data from NATHANIEL B. PALMER from 1996-10-08 to 1997-05-05 (NCEI Accession 9900164)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-10-08", - "end_date": "1997-05-05", - "bbox": "168.9, -78, -175.9, -74", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388517-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388517-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9900164_Not%20Applicable", - "description": "Not provided", + "id": "gpmnavcitgcpex2_2", + "title": "GPM GROUND VALIDATION UND CITATION NAVIGATION DATA GCPEX V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-19", + "end_date": "2012-02-24", + "bbox": "-80.549, 43.4595, -78.7659, 46.3966", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979635204-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979635204-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmnavcitgcpex2_2", + "description": "The GPM Ground Validation UND Citation Navigation Data GCPEx V2 dataset was collected by the Cessna Citation II Research, which was aircraft, owned, and operated by the University of North Dakota (UND), participated in the GPM Cold-season Precipitation Experiment (GCPEx) by serving as an in situ microphysics sampling platform. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement Data User Guide of the overarching goal of GCPEx, which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The GCPEx navigation data set collected wind speed amongst several other parameters. It would also be beneficial to list the other parameters it collected.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900202_Not Applicable", - "title": "BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1995-11-13 to 1997-11-14 (NCEI Accession 9900202)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1995-11-13", - "end_date": "1997-11-14", - "bbox": "-64.7, 10.5, -64.7, 10.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388797-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388797-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3A9900202_Not%20Applicable", - "description": "Not provided", + "id": "gpmnavcitiphx_1", + "title": "GPM GROUND VALIDATION UND CITATION NAVIGATION DATA IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-03-06", + "end_date": "2014-06-13", + "bbox": "-81, 43.5, -78, 46.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979635316-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979635316-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmnavcitiphx_1", + "description": "The GPM Ground Validation UND Citation Navigation Data IPHEx dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during March 6, 2014 through June 13, 2014 for the Global Precipitation Measurement Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The Cessna Citation II Research aircraft, owned and operated by the University of North Dakota (UND), participated in the IPHEx field campaign by serving as an in situ microphysics sampling platform. This navigation dataset consists of final processed files containing records that include flight time, aircraft location (latitude, longitude, and altitude), air temperature, wind speed, and other relevant aircraft parameters in ASCII format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:9900218_Not Applicable", - "title": "CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from NATHANIEL B. PALMER from 1996-10-18 to 1997-02-08 (NCEI Accession 9900218)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1996-10-18", - "end_date": "1997-02-08", - "bbox": "169, -78, -176, -76.4", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388860-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089388860-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3A9900218_Not%20Applicable", - "description": "Not provided", + "id": "gpmnavcitmc3e_1", + "title": "GPM GROUND VALIDATION UND CITATION NAVIGATION DATA MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-01", + "end_date": "2011-06-02", + "bbox": "-99.4669, 34.3247, -95.2302, 48.5123", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979635449-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979635449-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmnavcitmc3e_1", + "description": "The GPM Ground Validation UND Citation Navigation Data MC3E dataset was collected by the Cessna Citation II Research aircraft owned and operated by the University of North Dakota (UND) participated in the Midlatitude Continental Convective Clouds Experiment (MC3E) supplying navigation data and also carrying cloud microphysics instruments. This navigation dataset consists of files (.txt) from UND containing records with flight time (UT seconds from midnight) and aircraft latitude, longitude and altitude. The dataset also contains the IWG1 data collected during the mission. Data was collected from April 1, 2011 through June 2, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:AVHRR_Pathfinder-NODC-v5.0_v5.1-climatologies_Not Applicable", - "title": "AVHRR Pathfinder version 5.0 and 5.1 global 4km sea surface temperature (SST) daily, 5-day, and monthly harmonic climatologies for 1982-2008", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1982-01-01", - "end_date": "2008-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385724-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385724-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D%3D/gov.noaa.nodc%3AAVHRR_Pathfinder-NODC-v5.0_v5.1-climatologies_Not%20Applicable", - "description": "This dataset contains global, 4km daily, 5-day, and monthly sea surface temperature climatologies derived from harmonic analysis of the AVHRR Pathfinder Version 5.0 and 5.1 sea surface temperature time series data for 1982-2008. The daily climatology is available as 366 separate files, each representing one day in a climatological year. The 5-day climatology is available as 73 separate files, each representing a 'pentad,' or 5-day period, in a climatological year. The monthly climatology is available as 12 separate files, each representing one month in a climatological year. The files are in netCDF-4 and fully comply with the GHRSST Data Specification 2.0 for Level 4 products. In addition to climatological sea surface temperature, each file contains standard deviation, sea ice concentration, sea ice concentration error, and land mask information. This accession also includes 'classic', or mean, daily, 5-day, and monthly sea surface temperature climatologies derived from the same Pathfinder time series data. These climatologies were used to gap-fill the harmonic climatologies, and provided the standard deviation information. In some ice-dominated high-latitude areas, the harmonic climatology is poorly constrained due to uneven distribution throughout the year of the valid measurements. For example, at 67.5S, 73W near the Antarctic coast, temperatures estimated in the harmonic climatology reach almost 40C. In these regions, the classic, averaged climatological values may be more reliable.", + "id": "gpmnavcitolyx_1", + "title": "GPM Ground Validation UND Citation Navigation Data OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-12", + "end_date": "2015-12-19", + "bbox": "-126.129, 46.2209, -122.134, 48.2994", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979636604-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979636604-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmnavcitolyx_1", + "description": "The GPM Ground Validation UND Citation Navigation Data OLYMPEX dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during November 12, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) GPM Ground Validation field campaign. This navigation dataset consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements in ASCII format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:BCO-DMO_Not Applicable", - "title": "Biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research managed and submitted by the Biological and Chemical Oceanography Data Management Office (BCO-DMO)", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1993-05-22", - "end_date": "2006-12-02", - "bbox": "-172.99, -78.652, 113.3667, 76.1552", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385799-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089385799-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3ABCO-DMO_Not%20Applicable", - "description": "This data set is a collection of biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research provided by the Biological and Chemical Oceanography Data Management Office (BCO-DMO). The BCO-DMO was created to serve Principal Investigators (PIs) funded by the National Science Foundation (NSF) Biological and Chemical Oceanography Sections as a location where marine biogeochemical and ecological data and information developed in the course of scientific research can easily be disseminated, protected, and stored for short and intermediate time-frames. The main objective of the BCO-DMO is to support the scientific community through improved accessibility to ocean science data. The BCO-DMO manages existing and new data sets from individual scientific investigators and collaborative groups of investigators, and makes these available via a web portal.", + "id": "gpmnavdc8gcpex_1", + "title": "GPM GROUND VALIDATION DC-8 NAVIGATION AND HOUSEKEEPING DATA GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-11", + "end_date": "2020-02-06", + "bbox": "-124.985, 31.5641, -67.7583, 46.9027", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637107-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637107-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmnavdc8gcpex_1", + "description": "The GPM Ground Validation DC-8 Navigation and Housekeeping Data GCPEx dataset, which is composed of two types of files. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. National Suborbital Education and Research Center (NSERC) of the University of North Dakota (UND) provided geo-located housekeeping data containing attributes, such as altitude, pressure, air speed, and wind speed. The NASA DC-8 Navigation data in comma delimited IWG1 format were collected and utilized in-flight during the GCPEx mission and retrieved from the Real-Time Mission Monitor. Both file types are available for most of the dataset dates, however please note that there are a few dates where only the IWG1 formatted data is available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-ABI_G17-STAR-L2P_2.71", - "title": "GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2019-10-16", - "end_date": "", - "bbox": "-135, -59, -15, 59", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638053-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638053-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-ABI_G17-STAR-L2P_2.71", - "description": "GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L2P/GOES17/STAR/nav. The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is also available.", + "id": "gpmnavdc8olyx_1", + "title": "GPM Ground Validation Navigation Data DC-8 OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-05", + "end_date": "2015-12-19", + "bbox": "-129.061, 30.3686, -117.797, 49.3344", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637324-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637324-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnavdc8olyx_1", + "description": "The GPM Ground Validation NASA DC-8 Navigation Data OLYMPEX dataset supplies navigation data collected by the NASA DC-8 aircraft for flights that occurred during November 5, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) GPM Ground Validation field campaign. This navigation dataset consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements in ASCII-IWG1 and XML data formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-ABI_G17-STAR-L3C_2.71", - "title": "GHRSST NOAA/STAR GOES-17 ABI L3C America Region SST v2.71 dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2019-10-16", - "end_date": "", - "bbox": "-135, -59, -15, 59", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636950-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636950-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-ABI_G17-STAR-L3C_2.71", - "description": "The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).", + "id": "gpmnaver2iphx_1", + "title": "GPM Ground Validation NASA ER-2 Navigation Data IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-04", + "end_date": "2014-06-13", + "bbox": "-86.562, 30.3944, -71.6108, 36.6427", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637631-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637631-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmnaver2iphx_1", + "description": "The GPM Ground Validation NASA ER-2 Navigation Data IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina. The ER-2 Aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments onboard the aircraft acted as a proxy for GPM satellite instruments. Twenty-one ER-2 flights occurred during May 1, 2014 through June 14, 2014. The dataset consists of navigation data, as well as meteorological parameters collected by an on-board navigation recorder every second of the flight. The data are available in ASCII and XML formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AHI_H08-STAR-L2P_2.70", - "title": "GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2019-10-16", - "end_date": "", - "bbox": "80, -59, -160, 59", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637913-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637913-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AHI_H08-STAR-L2P_2.70", - "description": "Himawari-8 (H08) was launched on 7 October 2014 into its nominal position at 140.7-deg E, and declared operational on 7 July 2015. The Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, and 12.3 um) are suitable for SST. Accurate sensor calibration, image navigation and (co)registration, high spectral fidelity, and sophisticated pre-processing (geo-rectification, radiance equalization, and mapping) offer vastly enhanced capabilities for SST retrievals, over the heritage GOES-I/P and MTSAT-2 Imagers. From altitude 35,800km, H08/AHI maps SST in a Full Disk (FD) area from 80E-160W and 60S-60N, with spatial resolution 2km at nadir to 15km at view zenith angle 67-deg, with a 10-min temporal sampling. The AHI L2P (swath) SST product is derived at the native sensor resolution using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system. ACSPO processes every 10-min FD data, identifies good quality ocean pixels (Petrenko et al., 2010) and derives SST using the four-band (8.4, 10.3, 11.2 and 12.3um) Non-Linear SST (NLSST) regression algorithm (Petrenko et al., 2014), trained against in situ SSTs from drifting and tropical mooring buoys in the NOAA iQuam system (Xu and Ignatov, 2014). The 10-min data are subsequently collated in time, to produce 1-hr L2P product, with improved coverage, and reduced cloud leakages and image noise. The collated L2P reports SSTs and brightness temperatures (BTs) in clear-sky water pixels (defined as ocean, sea, lake or river), and fill values elsewhere. All pixels with valid SSTs are recommended for use. ACSPO files also include sun-sensor geometry, l2p_flags (day/night, land, ice, twilight, and glint flags), and NCEP wind speed. The L2P is reported in NetCDF4 GHRSST Data Specification version 2 (GDS2) format, 24 granules per day, with a total data volume 0.6GB/day. Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L2P/H08/STAR/nav. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). The H08 AHI SSTs and BTs are continuously validated against in situ data in SQUAM (Dash et al, 2010), and RTM simulation in MICROS (Liang and Ignatov, 2011). A reduced size (0.2GB/day), 0.02-deg equal-angle gridded ACSPO L3C product is also available.", + "id": "gpmnaver2olyx_1", + "title": "GPM Ground Validation NASA ER-2 Navigation Data OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-09", + "end_date": "2015-12-15", + "bbox": "-130.045, 34.1577, -117.775, 49.634", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637800-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637800-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnaver2olyx_1", + "description": "The GPM Ground Validation NASA ER-2 Navigation Data OLYMPEX dataset supplies navigation data collected by the NASA ER-2 aircraft for flights that occurred during November 9, 2015 through December 15, 2015 for one of the GPM Ground Validation field campaigns called the Olympic Mountains Experiment (OLYMPEX). This navigation dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements in ASCII, ASCII-IWG1, and XML data file formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AHI_H08-STAR-L3C_2.70", - "title": "GHRSST NOAA/STAR Himawari-08 AHI L3C Pacific Ocean Region SST v2.70 dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2019-10-16", - "end_date": "", - "bbox": "80, -59, -160, 59", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638013-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638013-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AHI_H08-STAR-L3C_2.70", - "description": "The ACSPO H08/AHI L3C (Level 3 Collated) product is a gridded version of the ACSPO H08/AHI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 24 granules available per 24hr interval, with a total data volume of 0.2GB/day. Valid SSTs are found over clear-sky oceans, sea, lakes or rivers, with fill values reported elsewhere. The following layers are reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST (Petrenko et al., 2016). The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).", + "id": "gpmncamdc8gcpex_1", + "title": "GPM GROUND VALIDATION DC-8 CAMERA NADIR GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-02-20", + "end_date": "2012-02-20", + "bbox": "-80.4001, 43.4044, -67.495, 47.0861", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637994-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979637994-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmncamdc8gcpex_1", + "description": "The GPM Ground Validation DC-8 Camera Nadir GCPEx dataset contains geo-located, visible-wavelength imagery of the ground obtained from the nadir camera aboard the NASA DC-8 in Canada during the Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The data is available only for February 20, 2012, a clear-air flight day. DC-8 Camera nadir data may be useful for determining snow cover and lake ice cover for emissivity studies. The dataset also includes, for convenience and reproducibility, aircraft navigation information and ground temperatures to aid in emissivity retrievals.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AMSR2-REMSS-L2P_8a", - "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2014-10-28", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637254-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637254-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AMSR2-REMSS-L2P_8a", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR2 instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"_rt_\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v08\" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmnmqifld_1", + "title": "GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-01", + "end_date": "2013-06-30", + "bbox": "-130, 20, -60, 55", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982783702-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982783702-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnmqifld_1", + "description": "The GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IFloodS dataset contains quality control products, real time rain rate estimates, hourly precipitation rate estimates, and three-dimensional reflectivity products. These data products are also referred to as Multi-Radar Multi-Sensor Precipitation Reanalysis for Satellite Validation (MRMS) product and were created using the NOAA NMQ System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RUC) model analysis fields, and Hydrometeorological Automated Data Systems (HADS) gauge data. The files provided in this dataset are from the NMQ system output obtained during the GPM Iowa Flood Studies (IFloodS) field campaign that occurred throughout Iowa. These data are available in ASCII, netCDF-4, and binary formats for the dates between April 1, 2013 through June 30, 2013.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AMSR2-REMSS-L3U_8a", - "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature version 8a from the Advanced Microwave Scanning Radiometer 2 on the GCOM-W satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2018-10-02", - "end_date": "", - "bbox": "-179, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638049-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638049-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-AMSR2-REMSS-L3U_8a", - "description": "The Advanced Microwave Scanning Radiometer 2 (AMSR2) was launched on 18 May 2012, onboard the Global Change Observation Mission - Water (GCOM-W) satellite developed by the Japan Aerospace Exploration Agency (JAXA). The GCOM-W mission aims to establish the global and long-term observation system to collect data, which is needed to understand mechanisms of climate and water cycle variations, and demonstrate its utilization. AMSR2 onboard the first generation of the GCOM-W satellite will continue Aqua/AMSR-E observations of water vapor, cloud liquid water, precipitation, SST, sea surface wind speed, sea ice concentration, snow depth, and soil moisture. AMSR2 is a remote sensing instrument for measuring weak microwave emission from the surface and the atmosphere of the Earth. From about 700 km above the Earth, AMSR2 will provide us highly accurate measurements of the intensity of microwave emission and scattering. The antenna of AMSR2 rotates once per 1.5 seconds and obtains data over a 1450 km swath. This conical scan mechanism enables AMSR2 to acquire a set of daytime and nighttime data with more than 99% coverage of the Earth every 2 days. Remote Sensing Systems (RSS, or REMSS), providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"rt\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v8\" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final \"v8\" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 2 days.", + "id": "gpmnmqiphx_1", + "title": "GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-30", + "end_date": "2014-06-16", + "bbox": "-87.1, 32.7, -78.695, 38.705", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1980963390-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1980963390-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnmqiphx_1", + "description": "The GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IPHEx dataset consists of six different data products: precipitation rate, hourly rainfall accumulation, daily rainfall accumulation, hybrid scan reflectivity, three-dimensional reflectivity, and vertically integrated liquid content estimates. These data products were created using the NOAA NMQ System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RUC) model analysis fields, and Hydrometeorological Automated Data Systems (HADS) gauge data. The files provided in this dataset are from system output during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign that occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. These data are available in ASCII and netCDF-4 formats for dates between April 30, 2014 through June 16, 2014.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AMSRE-REMSS-L2P_7.0", - "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2002-06-01", - "end_date": "2011-10-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638226-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638226-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AMSRE-REMSS-L2P_7.0", - "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"_rt_\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7\" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmnoxpiphx_1", + "title": "GPM Ground Validation NOAA X-band Polarimetric Radar (NOXP) IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-21", + "end_date": "2014-06-15", + "bbox": "-83.9083, 34.5671, -81.9141, 36.5613", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982808837-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982808837-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmnoxpiphx_1", + "description": "The GPM Ground Validation NOAA X-band dual-Polarimetric radar (NOXP) IPHEx dataset consists of differential reflectivity, differential phase shift, co-polar cross correlation, radial Doppler velocity, spectrum width, signal index, melting layer index, reflectivity, drop size distribution, and rainfall rate observations, as well as other radar parameters, collected by NOXP mobile radar during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. The IPHEx field campaign occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The NOXP radar, operated by the NOAA National Severe Storm Laboratory (NSSL), was positioned in the Pigeon River basin of the Great Smoky Mountains of North Carolina. NOXP data are available in netCDF-3 format for dates between April 21, 2014 through June 15, 2014. The dataset includes weather condition photos taken at the NOXP radar site in JPG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AMSRE-REMSS-L3U_7a", - "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2010-08-09", - "end_date": "2011-10-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636928-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636928-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-AMSRE-REMSS-L3U_7a", - "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of AMSR-E instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"_rt_\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7\" within the file name) are processed when RSS receives the atmospheric model National Center for Environmental Prediction (NCEP) Final Analysis (FNL) Operational Global Analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmnpolifld2_2", + "title": "GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR IFLOODS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-30", + "end_date": "2013-06-16", + "bbox": "-92.5128, 42.2656, -92.5056, 42.2708", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979638123-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979638123-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnpolifld2_2", + "description": "The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IFloodS dataset was collected from April 30 to June 16, 2013 near Traer, Iowa as part of the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) campaign. Officially the IFloodS campaign ran from May 1 to June 15 but the NPOL Doppler radar was installed and calibrated prior to the start, allowing for the wider period of record. The NPOL radar, developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected and operated nearly continuously during the IFloodS field campaign. It takes accurate volumetric measurements of precipitation including rainfall rate, particle size distributions, water content and precipitation type. The NPOL Doppler Radar IFloodS data is available in Universal Format (UF) with browse images available in PNG file format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR18_G-NAVO-L2P_1.0", - "title": "GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite produced by NAVO (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-01-25", - "end_date": "2018-05-14", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638044-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638044-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR18_G-NAVO-L2P_1.0", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched 20 May 2005) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. This particular dataset is produced from GAC data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.", + "id": "gpmnpoliphx_1", + "title": "GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-27", + "end_date": "2014-06-16", + "bbox": "-81.9631, 35.1958, -81.9631, 35.1958", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979638428-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979638428-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnpoliphx_1", + "description": "The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IPHEx dataset was collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign conducted in South Carolina from April 27, 2014 through June 16, 2014. The NPOL Doppler Radar scanned in high-resolution Plan Position Indicator (PPI), Range-Height Indicator (RHI), and PPI Sector (PPS) scan modes and provided measurements of precipitation in liquid, mixed, and ice phases. Data files are available in tarred universal format (UF) files, and browse images are available in compressed PNG files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR19_G-NAVO-L2P_1", - "title": "GHRSST Level 2P Global 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 satellite produced by NAVO (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-10-05", - "end_date": "2021-01-06", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639455-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639455-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR19_G-NAVO-L2P_1", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. This particular dataset is produced from GAC data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.", + "id": "gpmnpolmc3e_1", + "title": "GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-11", + "end_date": "2011-06-03", + "bbox": "-99, 35, -95.5, 38", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979638913-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979638913-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnpolmc3e_1", + "description": "The GPM Ground Validation NASA S-band Dual Polarimetric (NPOL) Doppler Radar MC3E dataset was collected by the NASA NPOL radar, which was developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected data nearly continuously during the Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. NPOL scanned in high resolution Range Height Indicator (RHI) mode (every 40 sec) and provided measurements of precipitation in liquid, mixed and ice phase. The scanning strategy emphasized vertical structure sampling via RHI and narrow sector-volume data collections. Additional files were processed from the UF files using the Colorado State University (CSU) Hydrometeor Identification Algorithm (HID) providing classification of hydrometeors (e.g. rain, drizzle, hail, ice crystals, wet or dry snow, graupel density). Data was collected from April 11, 2011 through June 3, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR19_L-NAVO-L2P_1", - "title": "GHRSST Level 2P Regional 1m Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 satellite produced by NAVO (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-08-26", - "end_date": "2021-01-06", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637930-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637930-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR19_L-NAVO-L2P_1", - "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.", + "id": "gpmnpololyx2_2", + "title": "GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-05", + "end_date": "2016-01-15", + "bbox": "-126.275, 45.9605, -122.256, 48.6684", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979639066-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979639066-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnpololyx2_2", + "description": "The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar OLYMPEX V2 dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL radar during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. NPOL,developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric Doppler research radar that was placed near the ocean on the Olympic Peninsula. Data files are available from November 5, 2015 thru January 15, 2016 in Universal Format (UF), with browse imagery files in PNG format containing corrected radar reflectivity, differential reflectivity, specific differential phase, differential phase, co-polar correlation, and Doppler velocity images.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRF_MA-STAR-L2P_2.80", - "title": "GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2021-06-01", - "end_date": "2021-11-14", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638222-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638222-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MA-STAR-L2P_2.80", - "description": "The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. MetOp-A launched on 19 October 2006 is the first in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346). The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is also available.", + "id": "gpmnpolwff_1", + "title": "GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar Wallops Flight Facility (WFF)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-12-06", + "end_date": "2017-04-28", + "bbox": "-77.1056, 36.8989, -73.6272, 39.6219", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979639203-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979639203-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnpolwff_1", + "description": "The GPM Ground Validation NASA S-Band Dual-Polarimetric (NPOL) Doppler Radar Wallops Flight Facility (WFF) dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL doppler radar positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). NPOL was developed by scientists at WFF and is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric Doppler research radar that was placed near Newark, Maryland between GPM GV missions. Data files are available from December 6, 2013 thru April 28, 2017 in Universal Format (UF), with browse files in PNG format containing images of corrected radar reflectivity, differential reflectivity, specific differential phase, co-polar correlation, and Doppler velocity images. Data are tarred into daily collections of files and zipped for storage and quick download.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRF_MA-STAR-L3U_2.80", - "title": "GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2021-06-01", - "end_date": "2021-11-14", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638227-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638227-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MA-STAR-L3U_2.80", - "description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite A (Metop-A) Advanced Very High Resolution Radiometer 3 (AVHRR/3) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-A AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MA-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).", + "id": "gpmnrlrtifld_1", + "title": "GPM Ground Validation Naval Research Laboratory (NRL) Near-Real Time Rain Rates IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-23", + "end_date": "2013-06-30", + "bbox": "-179.875, -59.875, 179.875, 59.875", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979639569-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979639569-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmnrlrtifld_1", + "description": "The GPM Ground Validation Naval Research Laboratory (NRL) Near-Real Time Rain Rates IFloodS data product was created for the GPM Iowa Flood Studies (IFloodS) field campaign from April 23, 2013 through June 30, 2013. The IFloodS field campaign was a ground measurement campaign that took place in eastern Iowa. The goals of the campaign were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This NRL real time rain rates data product was produced using the Probability Matching Method with rain gauge, Defense Meteorological Satellite Program (DMSP) F15 Special Sensor Microwave - Imager (SSM/I), and DMSP F16 Special Sensor Microwave - Imager/Sounder (SSMIS) data. This data product includes rain rate estimates and files are available in netCDF-4 and binary formats, as well as corresponding browse imagery in JPG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRF_MB-STAR-L2P_2.80", - "title": "GHRSST NOAA/STAR Metop-B AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2021-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636832-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636832-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MB-STAR-L2P_2.80", - "description": "The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. Metop-B launched on 17 September 2012 is the second in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346). The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is also available.", + "id": "gpmodmlpvex_1", + "title": "GPM Ground Validation Optical Disdrometer (ODM) LPVEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-15", + "end_date": "2010-09-26", + "bbox": "21.3281, 59.3778, 25.5378, 60.2792", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569990-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995569990-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmodmlpvex_1", + "description": "The GPM Ground Validation Optical Disdrometer (ODM) LPVEx dataset consists of precipitation particle size distribution data collected by the Eigenbrodt Optical Disdrometer (ODM) deployed onboard the RV Aranda research vessel. ODM was specifically designed to measure precipitation on ship-based platforms that experience high and variable winds. ODM\u2019s ability to maintain the optimal orientation with respect to the wind allows it to obtain more accurate precipitation measurements in this type of environment. The ODM data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The overarching goals of LPVEx were to detect and understand the process of light rainfall formation at high latitudes and to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The ODM dataset files are available in ASCII text format from September 15 through September 26, 2010.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRF_MB-STAR-L3U_2.80", - "title": "GHRSST NOAA/STAR Metop-B AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2021-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636910-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636910-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MB-STAR-L3U_2.80", - "description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite B (Metop-B) Advanced Very High Resolution Radiometer 3 (AVHRR/3) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-B AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MB-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).", + "id": "gpmopasscgcpex_1", + "title": "GPM GROUND VALIDATION CARE SATELLITE OVERPASS IMAGES GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-02-28", + "bbox": "-87, 41, -73, 47.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979643006-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979643006-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmopasscgcpex_1", + "description": "The GPM Ground Validation CARE Satellite Overpass GCPEx Images are the satellite overpass images for the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada, January 15, 2012 through February 28, 2012. GCPEx addressed limitations in the GPM snowfall retrieval algorithm through the collection of microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The satellite tracks include the DMSP satellite numbers 15, 16, 17, 18, and 19. A list of starting overpass times per satellite and day is included.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRF_MC-STAR-L2P_2.80", - "title": "GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2021-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636948-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636948-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MC-STAR-L2P_2.80", - "description": "The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. Metop-C launched on 7 November 2018 is the third and last in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346). The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is also available.", + "id": "gpmopassolyx_4", + "title": "GPM Ground Validation Composite Satellite Overpasses OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-01", + "end_date": "2016-05-01", + "bbox": "-157.22, 37.3591, -88.4232, 57.4634", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979643229-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979643229-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmopassolyx_4", + "description": "The GPM Ground Validation Composite Satellite Overpasses OLYMPEX dataset provides brightness temperature, precipitation, and total column water vapor estimates from multiple satellite overpasses including DMSP F16-19, GCOM-W1, GPM, MetOp, NOAA, and NPP for the OLYMPEX field campaign. The OLYMPEX field campaign took place between November, 2015, and January, 2016, with additional ground sampling continuing through February, on the Olympic Peninsula in the Pacific Northwest of the United States. This field campaign provides ground-based validation support of the findings resulting from the Global Precipitation Measurement (GPM) Core Observatory satellite. Data files are available from November 1, 2015 thru May 1, 2016 in HDF-5 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRF_MC-STAR-L3U_2.80", - "title": "GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2021-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636849-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636849-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRF_MC-STAR-L3U_2.80", - "description": "This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite C (Metop-C) Advanced Very High Resolution Radiometer 3 (AVHRR/3) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-C AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MC-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).", + "id": "gpmoumesmc3e_1", + "title": "GPM GROUND VALIDATION OKLAHOMA CLIMATOLOGICAL SURVEY MESONET MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-103, 33.28, -94, 37", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982849730-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982849730-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmoumesmc3e_1", + "description": "The GPM Ground Validation Oklahoma Climatological Survey Mesonet MC3E data were collected during the Midlatitude Continental Convective Clouds Experiment (MC3E) in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Collected by a network of weather stations, this dataset is composed of 15 minute and 5 minute files with one file per site per day in mts format. Data can be read as ASCII text. Multiple parameters found in this dataset include relative humidity, air temperature, wind speed and direction, precipitation and calibrated soil moisture. More information on the contents and data format can be found at http://www.mesonet.org/index.php/site/about/mdf_mts_files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRMTA_G-NAVO-L2P_2.0", - "title": "GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-A satellite produced by NAVO (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2007-09-26", - "end_date": "", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637961-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637961-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRMTA_G-NAVO-L2P_2.0", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-A (MetOp-A) satellite. The SST data in this dataset are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular dataset is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data.", + "id": "gpmpadukeiphx_1", + "title": "GPM Ground Validation Duke Parsivel IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-30", + "bbox": "-83.5904, 35.0833, -82.2711, 35.8858", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979656586-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979656586-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmpadukeiphx_1", + "description": "The GPM Ground Validation Duke Parsivel IPHEx dataset were collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign which was held in the Southern Appalachian region, including the Piedmont and Coastal Plain regions, of North Carolina. OTT laser-based Parsivel instruments operated from May 1, 2014 through June 30, 2014. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The parsivel data are available in ASCII-csv format for each of the parsivel locations and contain precipitation intensity and drop parameters. ", + "license": "proprietary" + }, + { + "id": "gpmpagcpex_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-10-26", + "end_date": "2012-03-10", + "bbox": "-79.9279, 44.1765, -79.6403, 44.6862", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979657178-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979657178-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpagcpex_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The APU dataset for GCPEx provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, counts and distribution. The GCPEx APU data was collected from several sites in Canada during the Winter 2011-2012 period.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRMTB_G-NAVO-L2P_2.0", - "title": "GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-B satellite produced by NAVO (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2013-12-12", - "end_date": "", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638432-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638432-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRMTB_G-NAVO-L2P_2.0", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-B (MetOp-B) satellite. The SST data in this dataset are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular dataset is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data.", + "id": "gpmpahymex_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) HYMEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-09-07", + "end_date": "2012-11-07", + "bbox": "3.88472, 41.7827, 14.2142, 44.0961", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979658097-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979658097-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpahymex_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) HyMeX dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global changeThe APU dataset for HyMeX provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, snowflake counts, and snowflake distribution. The HyMeX APU data were collected in Italy and France from September to November 2012.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRRMTC_G-NAVO-L2P_2.0", - "title": "GHRSST Level 2P Global Sea Surface Temperature v2.0 from the AVHRR on the MetOp-C satellite produced by NAVO (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2020-06-10", - "end_date": "", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636912-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636912-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRRMTC_G-NAVO-L2P_2.0", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset containing multi-channel Sea Surface Temperature (SST) retrievals derived in real-time from the Advanced Very High Resolution Radiometer (AVHRR) level-1B data from the Meteorological Operational-C (MetOp-C) satellite. The SST data in this dataset are used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The MetOp satellite program is a European multi-satellite program to provide weather data services for monitoring climate and improving weather forecasts. MetOp-A, MetOp-B and Metop-C were respectively launched on 19 Oct 2006, 17 September 2012 and 7 November 2018. The program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) with the US National Oceanic and Atmospheric Administration (NOAA) contributing the AVHRR sensor. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micron) and near-infrared (0.9 micron) regions, the third one is located around 4 (3.6) micron, and the last two sample the emitted thermal radiation, around 11 and 12 micron, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micron. Typically, the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The swath of the AVHRR sensor is a relatively large 2400 km. All MetOp platforms are sun synchronous and generally view the same earth location twice a day (latitude dependent). The ground native resolution of the AVHRR instruments is approximately 1.1 km at nadir and degrades off nadir. This particular dataset is produced from legacy Global Area Coverage (GAC) data that are derived from a sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km spatial resolution at nadir. The v2.0 is the updated version from current v1.0 with extensive algorithm improvements and upgrades. The major improvements include: 1) Significant changes in contaminant/cloud detection; 2) Increased the spatial resolution from 9 km to 4 km; 3) Updated compliance with GDS2, ACDD 1.3, and CF 1.6; and 4) Removed the dependency on the High-resolution Infrared Radiation Sounder (HIRS) sensor (only available to MetOp-A/B), thus allowing for the consistent inter-calibration and the processing of MetOp-A/B/C data.", + "id": "gpmpaifld_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) IFLOODS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-16", + "end_date": "2013-06-17", + "bbox": "-92.4637, 41.6406, -91.5416, 42.2388", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979658622-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979658622-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpaifld_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) IFloodS dataset collected data from several sites in eastern Iowa during the spring of 2013. The APU dataset for the Iowa Flood Studies (IFloodS) Field Experiment provides precipitation data including precipitation drop size, counts, and distribution. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The APU is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A-OSISAF-L2P_1", - "title": "GHRSST Level 2P sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2014-07-22", - "end_date": "2016-11-23", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213646794-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213646794-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_A-OSISAF-L2P_1", - "description": "A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) satellite (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This product is delivered at full resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpaiphx_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-10-28", + "end_date": "2014-06-19", + "bbox": "-83.4973, 35.0833, -81.8332, 36.0144", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979660071-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979660071-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpaiphx_1", + "description": "The GPM Ground Validation NASA Autonomous Parsivel Unit (APU) IPHEx dataset was acquired by multiple parsivel instruments during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx), which took place in western North Carolina. IPHEx sought to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The APU, an optical disdrometer based on single particle extinction, measures particle size, and fall velocity. ASCII encoded data files contain information on the drop size distribution and integral precipitation parameters such as precipitation rate, reflectivity, and mass-weighted mean diameter.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A_GLB-OSISAF-L3C_1", - "title": "GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2013-07-26", - "end_date": "2016-02-23", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636900-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213636900-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_A_GLB-OSISAF-L3C_1", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpal_1", + "title": "GPM Ground Validation Passive Aquatic Listener (PAL)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-10-18", + "end_date": "2021-07-28", + "bbox": "-179.999, -18.928, 179.999, 53.335", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2683417176-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2683417176-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmpal_1", + "description": "The GPM Ground Validation Passive Aquatic Listener (PAL) dataset contains underwater hydrophone data at a one-minute time step with a typical 5 km diameter footprint when deployed or drifting at 1 km depth. Areal rain rate and wind speed estimates are mutually exclusive, meaning that time periods that are unambiguously identified as rain are used to estimate rain rate, and wind speed is only estimated in the absence of rain. The data are available in netCDF-4 format and include time, interpolated geolocation data, the rain rate or wind speed estimates for each time, and location pair. PALs are deployed irregularly on Argo ocean profiling floats and moorings, typically as part of field campaigns. As such, the number of PALs collecting data is inconsistent in time and space. The entire dataset covers the period from October 18, 2010, through July 28, 2021.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A_NAR-OSISAF-L3C_1", - "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS and Metop-A/AVHRR produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2014-07-21", - "end_date": "2016-11-22", - "bbox": "-76.02, 23.59, 72.97, 78.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637047-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637047-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIG5vcnRoIGF0bGFudGljIHJlZ2lvbmFsIGJ1bGsgc2VhIHN1cmZhY2UgdGVtcGVyYXR1cmUgZnJvbSB0aGUgYWR2YW5jZWQgdmVyeSBoaWdoIHJlc29sdXRpb24gcmFkaW9tZXRlciAoYXZocnIpIG9uIHRoZSBub2FhLTE4IHNhdGVsbGl0ZSBwcm9kdWNlZCBieSBuZW9kYWFzIChnZHMgdmVyc2lvbiAxKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtTkVPREFBUy1MMlAtQVZIUlIxOF9MXCIsXCIxXCIsMjIxMzY0MTM4MSwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBub3J0aCBhdGxhbnRpYyByZWdpb25hbCBidWxrIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGFkdmFuY2VkIHZlcnkgaGlnaCByZXNvbHV0aW9uIHJhZGlvbWV0ZXIgKGF2aHJyKSBvbiB0aGUgbm9hYS0xOCBzYXRlbGxpdGUgcHJvZHVjZWQgYnkgbmVvZGFhcyAoZ2RzIHZlcnNpb24gMSlcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU5FT0RBQVMtTDJQLUFWSFJSMThfTFwiLFwiMVwiLDIyMTM2NDEzODEsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_A_NAR-OSISAF-L3C_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpalpvex_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) LPVEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-15", + "end_date": "2011-01-12", + "bbox": "21.5013, 59.3335, 27.4909, 60.4864", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979661779-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979661779-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpalpvex_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) LPVEx dataset provides rainfall data for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment collected at four sites in Finland: Harmaja, Emasalo, Jarvenpaa, and the Gulf of Finland (Aranda) during the Light Precipitation Validation Experiment (LPVEx), which took place during September and October of 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B-OSISAF-L2P_1", - "title": "GHRSST Level 2P sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2016-02-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637938-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637938-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_B-OSISAF-L2P_1", - "description": "A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This product is delivered at full resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpamc3e_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-15", + "end_date": "2011-06-06", + "bbox": "-97.5522, 36.5641, -97.4262, 36.638", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979662455-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979662455-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpamc3e_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) MC3E dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The APU dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides precipitation data including raindrop size, precipitation drop size, precipitation rate and amount. The Midlatitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B_GLB-OSISAF-L3C_1", - "title": "GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2016-02-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637836-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637836-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_B_GLB-OSISAF-L3C_1", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpanoaamc3e_1", + "title": "GPM GROUND VALIDATION NOAA PARSIVEL MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-05", + "end_date": "2011-06-06", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979663392-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979663392-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmpanoaamc3e_1", + "description": "The GPM Ground Validation NOAA Parsivel MC3E dataset was collected in central Oklahoma during the Midlatitude Continental Convective Clouds Experiment (MC3E) from April 5, 2011 through June 6, 2011. The NOAA Parsivel dataset includes processed data consisting of either moment data (e.g., reflectivity and rain rate estimates) or raindrop number concentration estimates; the data provided a reference reflectivity to calibrate the S-band profiler during the experiment. The moment data includes 1-minute resolution estimates of rain rate, reflectivity, and other parameters related to the health of the Parsivel instrument. The raindrop number concentration data are also at 1-minute resolution and are the result of converting the observed raindrop passing the sensor into the number of raindrops expected in a unit volume per diameter interval. Both the moment data and the number concentration data were saved in daily files in ASCII format. Daily images were also generated from the Parsivel observations and contain the 1-minute reflectivity, rain rate, and number concentration N(D); browse images are saved in TIF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B_NAR-OSISAF-L3C_1", - "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from Metop/AVHRR produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2016-02-20", - "end_date": "", - "bbox": "-76.02, 13.59, 72.97, 78.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638078-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638078-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_METOP_B_NAR-OSISAF-L3C_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpansstc_1", + "title": "GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) NSSTC V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-06-08", + "end_date": "2011-03-30", + "bbox": "-86.64, 34.71, -86.63, 34.72", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979663924-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979663924-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGFkdmFuY2VkIG1pY3Jvd2F2ZSBwcmVjaXBpdGF0aW9uIHJhZGlvbWV0ZXIgKGFtcHIpIG9seW1wZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtYW1wcm9seXhcIixcIjFcIiwxOTc5MTI2NjE0LDEzXSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBhZHZhbmNlZCBtaWNyb3dhdmUgcHJlY2lwaXRhdGlvbiByYWRpb21ldGVyIChhbXByKSBvbHltcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWFtcHJvbHl4XCIsXCIxXCIsMTk3OTEyNjYxNCwxM10ifQ%3D%3D/gpmpansstc_1", + "description": "The GPM Ground Validation Autonomous Parsivel Unit (APU) NSSTC dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC) in Huntsville, Alabama. The validation effort will entail numerous GPM-specific and joint-agency/international external field campaigns, using state of the art cloud and precipitation observational infrastructure. Surface rainfall will be measured by very dense rain gauge and disdrometer networks at various field campaign sites. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-AVHRR_SST_NOAA19_NAR-OSISAF-L3C_1", - "title": "GHRSST Level 3C North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-19 (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2013-11-19", - "end_date": "2013-11-20", - "bbox": "-76.02, 23.59, 72.97, 78.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638203-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638203-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-AVHRR_SST_NOAA19_NAR-OSISAF-L3C_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA-19 platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmparawifld_1", + "title": "GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-01", + "end_date": "2013-05-24", + "bbox": "-92.2749, 41.3826, -91.323, 42.142", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979666077-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979666077-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmparawifld_1", + "description": "The GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS dataset was collected by 14 Autonomous Parsivel Unit (APU) sites in eastern Iowa during the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) field campaign. The campaign aimed to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. APU is an optical disdrometer system that measures precipitation particle size and fall velocity. This dataset consists of APU-calculated parameters and unfiltered drop spectrum data. The dataset files are available in ASCII text format from April 1 through May 24, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013, but the APUs were installed and had begun collecting data prior to the start of the campaign.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-CMC0.1deg-CMC-L4-GLOB_3.0", - "title": "GHRSST Level 4 CMC0.1deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2016-01-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637923-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213637923-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-CMC0.1deg-CMC-L4-GLOB_3.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the Advanced Very High Resolution Radiometer (AVHRR) from NOAA-18,19, the European Meteorological Operational-A (METOP-A) and Operational-B (METOP-B), and microwave data from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W satellite in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmparprbgcpex_1", + "title": "GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-19", + "end_date": "2012-02-24", + "bbox": "-80.549, 43.4595, -78.7659, 46.3966", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667328-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667328-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmparprbgcpex_1", + "description": "The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx data was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011 through 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected January 16, 2012 through February 25, 2012. A related cloud microphysics dataset, GPM Ground Validation UND Citation Cloud Microphysics GCPEx is also available.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-CMC0.2deg-CMC-L4-GLOB_2.0", - "title": "GHRSST Level 4 CMC0.2deg Global Foundation Sea Surface Temperature Analysis (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "1991-09-01", - "end_date": "2017-03-18", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638532-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638532-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-CMC0.2deg-CMC-L4-GLOB_2.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis at the Canadian Meteorological Center. This dataset merges infrared satellite SST at varying points in the time series from the (A)TSR series of radiometers from ERS-1, ERS-2 and Envisat, AVHRR from NOAA-16,17,18,19 and METOP-A, and microwave data from TMI, AMSR-E and Windsat in conjunction with in situ observations of SST from drifting buoys and ships from the ICOADS program. It uses the previous days analysis as the background field for the statistical interpolation used to assimilate the satellite and in situ observations. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmparprbiphx_1", + "title": "GPM Ground Validation NCAR Particle Probes IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-09", + "end_date": "2014-06-12", + "bbox": "-84.934, 30.3971, -75.3234, 36.4839", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667535-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667535-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmparprbiphx_1", + "description": "The GPM Ground Validation NCAR Particle Probes IPHEx dataset consists of Ice Water Content (IWC), particle number concentration normalized by bin width, and total particle number concentration data that were collected from three particle probes onboard the University of North Dakota (UND) Citation II aircraft during the Global Precipitation Mission (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx). These instruments include the PMS Two-Dimensional Cloud probe (2D-C), the SPEC Two-Dimensional Stereo probe (2D-S), and the SPEC High Volume Precipitation Spectrometer version 3 (HVPS-3). The IPHEx campaign took place in North Carolina with the goal of evaluating the accuracy of satellite precipitation measurements and using the collected data for hydrology models in the region. The campaign\u2019s intense study period occurred from May 1 through June 15, 2014. All instruments are two-dimensional optical array probes which record images of particles that travel through the sampling area. The data files are available from May 9 through June 12, 2014 in ASCII format using the NASA Ames format specification. Browse images of instrument array 5-sec measurements are available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-DMI-L4UHfnd-NSEABALTIC-DMI_OI_1.0", - "title": "GHRSST Level 4 DMI_OI North Sea and Baltic Sea Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2007-06-04", - "end_date": "2016-03-05", - "bbox": "-9.99, 48.01, 30, 65.98", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641344-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641344-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-DMI-L4UHfnd-NSEABALTIC-DMI_OI_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a regional 0.03 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites over the North and Baltic Seas. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE) and the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua. An ice field from the Swedish and Finnish ice services is used to mask out areas with ice.", + "id": "gpmparprbmc3e_1", + "title": "GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-02", + "bbox": "-98.5, 35.5, -96.5, 37.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667818-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667818-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmparprbmc3e_1", + "description": "The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterization and space-based rainfall retrieval algorithms over land that had never before been available. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected April 22, 2011 through June 2, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-DMI_OI-DMI-L4-GLOB_1.0", - "title": "GHRSST Level 4 DMI_OI Global Foundation Sea Surface Temperature Analysis (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2013-12-11", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638201-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638201-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-DMI_OI-DMI-L4-GLOB_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the Danish Meteorological Institute (DMI) using an optimal interpolation (OI) approach on a global 0.05 degree grid. The analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several satellites. The sensors include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer 2 (AMSR2), the Visible Infrared Imager Radiometer Suite (VIIRS), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua. An ice field from the EUMETSAT OSI-SAF is used to mask out areas with ice. This dataset adheres to the version 2 GHRSST Data Processing Specification (GDS).", + "id": "gpmparprbolyx_1", + "title": "GPM Ground Validation NCAR Particle Probes OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-11-12", + "end_date": "2015-12-20", + "bbox": "-126.129, 46.2209, -97.1811, 48.3535", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667997-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979667997-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmparprbolyx_1", + "description": "The GPM Ground Validation NCAR Particle Probes OLYMPEX dataset consists of ice water content, particle concentration normalized by bin width, and total particle concentration collected from three instruments flown on the University of North Dakota (UND) Citation aircraft during selected dates in November and December 2015. The PMS Two-Dimensional Cloud probe (2D-C), the SPEC Two-dimensional Stereo probe (2D-S), and two SPEC High Volume Precipitation Spectrometer 3 (HVPS-3) instruments were used in the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. All instruments are two-dimensional optical array probes which record images of particles that travel through the sampling area. Data files are available in ASCII format, and browse images are available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AMSRE_1.0", - "title": "GHRSST Level 2P Regional Subskin Sea Surface Temperature from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua satellite for the Atlantic Ocean (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-19", - "end_date": "2007-02-26", - "bbox": "-100, -70, 45, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638361-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638361-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-AMSRE_1.0", - "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea-surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset is derived from Remote Sensing Systems BMAPS (binary) format AMSR-E SST subskin data. Data were downloaded for North Atlantic region from Remote Sensing Systems every hour to capture the latest AMSRE observations. L2P data products were then produced to the GHRSST Data Processing Specification (GDS) version 1.5. Ascending (daytime) and descending (nighttime) orbits are packaged into separate netCDF files. Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project, the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for GHRSST-PP it assumed an incorrect designation of \"L2P\".", + "id": "gpmpawneemc3e_1", + "title": "GPM GROUND VALIDATION PAWNEE RADAR MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-05-24", + "end_date": "2011-05-24", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979668711-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979668711-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmpawneemc3e_1", + "description": "The GPM Ground Validation Pawnee Radar MC3E dataset was collected by the Pawnee radar data for the Midlatitude Continental Convective Clouds Experiment (MC3E) held in Oklahoma were collected on May 24, 2011 to support the CHILL radar and the NASA ER-2 instrumentation data. The Pawnee is a single polarization (V polarization) Doppler radar. During the ER2 flight, the Pawnee conducted a wide azimuth opening PPI sector volume scan oriented towards the east designed to provide general 3D coverage of the ER2 flight area. When the ER2 reported starting a course reversal, the CHILL and Pawnee radars attempted to start sector scans at the same time to support dual Doppler wind analyses. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CHILL. The single polarization Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. CHILL and Pawnee radar data are available as separate datasets.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-ATS_NR_2P_1.0", - "title": "GHRSST Level 2P Global Skin Sea Surface Temperature from the Advanced Along Track Scanning Radiometer (AATSR) on the ESA Envisat satellite produced by EUR (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2009-09-30", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638988-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638988-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIGdsb2JhbCBzZWEgc3VyZmFjZSBza2luIHRlbXBlcmF0dXJlIGZyb20gdGhlIG1vZGVyYXRlIHJlc29sdXRpb24gaW1hZ2luZyBzcGVjdHJvcmFkaW9tZXRlciAobW9kaXMpIG9uIHRoZSBuYXNhIGFxdWEgc2F0ZWxsaXRlIChnZHMgdmVyc2lvbnMgMSBhbmQgMilcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU1PRElTX0EtSlBMLUwyUFwiLFwiMjAxOS4wXCIsMjIxMzY0MjYyMCwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBnbG9iYWwgc2VhIHN1cmZhY2Ugc2tpbiB0ZW1wZXJhdHVyZSBmcm9tIHRoZSBtb2RlcmF0ZSByZXNvbHV0aW9uIGltYWdpbmcgc3BlY3Ryb3JhZGlvbWV0ZXIgKG1vZGlzKSBvbiB0aGUgbmFzYSBhcXVhIHNhdGVsbGl0ZSAoZ2RzIHZlcnNpb25zIDEgYW5kIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1NT0RJU19BLUpQTC1MMlBcIixcIjIwMTkuMFwiLDIyMTM2NDI2MjAsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-ATS_NR_2P_1.0", - "description": "Launched in March 2002 by the European Space Agency (ESA), Envisat is the largest Earth Observation spacecraft ever built. It carries ten sophisticated optical and radar instruments to provide continuous observation and monitoring of the Earth's land, atmosphere, oceans and ice caps. The Advanced Along-Track Scanning Radiometer (AATSR) onboard the Envisat spacecraft is designed to meet the challenging task of monitoring and detecting the climate change signal of sea surface temperature (SST). It builds on the success of its predecessor instruments on the European Remote-Sensing Satellite (ERS)-1, and ERS-2 satellites, and will lead to a multi-decade record of precise and accurate global SST measurements, thereby making a valuable contribution to the long-term climate record. The exceptionally high radiometric accuracy and stability of AATSR data are achieved through a number of unique features. A comprehensive pre-launch calibration programme, combined with continuous in-flight calibration, ensures that the data are continually corrected for sensor drift and degradation. A \"dual-view\" algorithm offering improved atmospheric correction by applying two different atmospheric path lengths is used to derive the SSTskin observations. The accuracies achieved with this configuration are further enhanced by using low-noise infrared detectors, cooled to their optimum operating temperature by a pair of Stirling-cycle coolers. With its high-accuracy, high-quality imagery and channels in the visible, near-infrared and thermal wavelengths, AATSR data will support many applications in addition to oceanographic and climate research, including a wide range of land-surface, cryosphere and atmospheric studies. See Llewellyn-Jones et al (2001) ESA bulletin 105, Feb 2001 for a full description. These AATSR L2P SST data are produced as part of the Group for High Resolution Sea Surface Temperature (GHRSST) Project according to the GHRSST-PP Data Processing Specification (GDS) version 1.5. This AATSR L2P dataset is the original product produced by the Medspiration Regional Data Assembly Facility (RDAC) from early 2005 to mid 2009.", + "id": "gpmpersucifld_1", + "title": "GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-01", + "end_date": "2013-07-01", + "bbox": "-96.84, 39.36, -87.16, 45.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979668994-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979668994-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmpersucifld_1", + "description": "The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal of IFloodS were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR16_G_1.0", - "title": "GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2006-08-14", - "bbox": "-100, -70, 45, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638093-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638093-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR16_G_1.0", - "description": "A global Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Global Area Coverage (GAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", + "id": "gpmpipicepop_1", + "title": "GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-06-18", + "end_date": "2018-12-30", + "bbox": "128.7, 37.6652, 128.806, 37.7382", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979681288-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979681288-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmpipicepop_1", + "description": "The GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP dataset includes precipitation measurements and video images collected by the Precipitation Imaging Package (PIP) during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to the Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. Data values obtained using PIP measurements include particle size distributions, fall velocity distributions, precipitation density estimates, and precipitation rates. The dataset files are available from June 18, 2017 through December 30, 2018 as generic data files (.dat) in ASCII-CSV format with browse imagery and video available in PNG and AVI format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR16_L_1.0", - "title": "GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2005-10-26", - "bbox": "-45, 20, 45, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638215-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638215-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR16_L_1.0", - "description": "A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Local Area Coverage (LAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). LAC are full resolution AVHRR data whose acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", + "id": "gpmplgcpex_1", + "title": "GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-12-08", + "end_date": "2012-02-29", + "bbox": "-79.93, 44.17, -79.64, 44.69", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979683115-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979683115-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmplgcpex_1", + "description": "The GPM Ground Validation Pluvio Precipitation Gauge GCPEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity for liquid, solid, and mixed precipitation collected during the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. GCPEx took place in Ontario, Canada uring the winter season of December 2011 through February 2012 where data was collected at five sites: CARE, Huronia, Steamshow, Skydive and Morton.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR17_G_1.0", - "title": "GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2007-02-26", - "bbox": "-100, -70, 45, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638274-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638274-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR17_G_1.0", - "description": "A global Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Global Area Coverage (GAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the JPL Physical Oceanography Distributed Active Archive Center (PO.DAAC). GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", + "id": "gpmpllpvex_1", + "title": "GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE LPVEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-15", + "end_date": "2011-01-13", + "bbox": "24.04, 60.12, 25.37, 60.29", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979683525-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979683525-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmpllpvex_1", + "description": "The GPM Ground Validation Pluvio Precipitation Gauge LPVEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity of liquid, solid, and mixed precipitation. This dataset was collected during the Light Precipitation Experiment (LPVEx) which was part of the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment which took place in Finland from September 2010 to October 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm. Data were collected at three sites: Harmaja, Emasalo, and Jarvenpaa.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR17_L_1.0", - "title": "GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2007-02-26", - "bbox": "-45, 20, 45, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638171-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638171-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR17_L_1.0", - "description": "A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Local Area Coverage (LAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). LAC are full resolution AVHRR data whose acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).", + "id": "gpmplolyx_1", + "title": "GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-10-31", + "end_date": "2016-01-31", + "bbox": "-123.867, 47.3898, -123.581, 47.68", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979684276-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979684276-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmplolyx_1", + "description": "The GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX dataset contains one-minute precipitation rate and precipitation accumulation measurements, as well as start and end times of precipitation events, that were collected during the Olympic Mountain Experiment (OLYMPEX) field campaign on the Olympic Peninsula in the Pacific Northwest of the United States. A Pluvio 400 weighing bucket gauge created by OTT Hydromet in Kempten, Germany was used to collect data at three different sites: Neilton Point (apu04), Wynoochee Trailer (apu10), and Upper Quinault Enchanted Valley (apu30). Data were collected from October 31, 2015 through January 31, 2016, but exact dates vary by site. Data files are available in ASCII-tsv format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR_METOP_A_1", - "title": "GHRSST Level 2P Global Skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite produced by EUMETSAT (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-10-01", - "end_date": "2013-07-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638342-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638342-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-AVHRR_METOP_A_1", - "description": "The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 m) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This product is delivered at full resolution in satellite projection as metagranule corresponding to 3 minutes of acquisition. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmpmastmetlpvex_1", + "title": "GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-16", + "end_date": "2010-10-22", + "bbox": "24.9533, 60.1947, 24.9733, 60.2147", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979684512-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979684512-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmpmastmetlpvex_1", + "description": "The GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx dataset consists of meteorological data (temperature, pressure, wind, precipitation, and radiation) collected from the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) at the University of Helsinki\u2019s Physicum building rooftop weather station in Helsinki, Finland. These data were collected during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign that took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological data files are available from September 16 through October 22, 2010 in ASCII-CSV and ASCII text formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-NAR16_SST_1.0", - "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2005-11-22", - "bbox": "-45, 20, 45, 79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638443-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638443-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-NAR16_SST_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from direct broadcast High Resolution Picture Transmission (HRPT) AVHRR data that are re-mapped onto a stereopolar grid to produce mosaics at 2 km resolution. An operational AVHRR cloud mask is applied based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including the use of fine scale climatology and a fine gradient climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. L2P data products are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES). Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project (GHRSST-PP), the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for the GHRSST-PP it assumed an incorrect designation of \"L2P\".", + "id": "gpmpossgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PRECIPITATION OCCURRENCE SENSOR SYSTEM (POSS) GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-01", + "bbox": "-79.93, 44.18, -79.64, 44.23", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979685182-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979685182-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmpossgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Precipitation Occurrence Sensor System (POSS) GCPEx dataset is comprised of data gathered during the GPM Cold-season Precipitation Experiment (GCPEx), which took place in Ontario, Canada, January 15 - March 1, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The POSS is a bi-static X-band Doppler radar designed by Environment Canada. The POSS measures a signal whose frequency is proportional to the particle Doppler velocity and whose amplitude is proportional to the particle scattering cross-section. Its measurements can be used to provide information regarding precipitation occurrence, type, rate, and raindrop size distribution.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-NAR17_SST_1.0", - "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2010-03-22", - "bbox": "-45, 20, 45, 79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638351-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638351-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-NAR17_SST_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 Jun 2002). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from direct broadcast High Resolution Picture Transmission (HRPT) AVHRR data that are re-mapped onto a stereopolar grid to produce mosaics at 2 km resolution. An operational AVHRR cloud mask is applied based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including the use of fine scale climatology and a fine gradient climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. L2P data products are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES). Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project (GHRSST-PP), the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for the GHRSST-PP it assumed an incorrect designation of \"L2P\".", + "id": "gpmposslpvex_1", + "title": "GPM Ground Validation Precipitation Occurrence Sensor System (POSS) LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-17", + "end_date": "2011-04-20", + "bbox": "25.0822, 60.2038, 25.6248, 60.4847", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979685546-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979685546-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmposslpvex_1", + "description": "The GPM Ground Validation Precipitation Occurrence Sensor System (POSS) LPVEx dataset consists of precipitation and radar parameter estimates for both liquid and solid precipitation. Measurements were collected by the Precipitation Occurrence Sensor System (POSS) during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The POSS dataset files are available from September 18, 2010 through April 20, 2011 for two POSS sites: Emasalo and Jarvenpaa. The data files are in CSV format with browse imagery in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-NAR18_SST_1.0", - "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2005-11-24", - "end_date": "2010-09-14", - "bbox": "-45, 20, 45, 79", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639456-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639456-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-NAR18_SST_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched on 20 May 2005). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from direct broadcast High Resolution Picture Transmission (HRPT) AVHRR data that are re-mapped onto a stereopolar grid to produce mosaics at 2 km resolution. An operational AVHRR cloud mask is applied based on a multi-spectral thresholding algorithm (Derrien and Le Gleau 1999). Some refinements specific to the marine conditions have been introduced including the use of fine scale climatology and a fine gradient climatology to assist in the detection of clouds in areas characterised by strong thermal gradients. L2P data products are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES). Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project (GHRSST-PP), the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for the GHRSST-PP it assumed an incorrect designation of \"L2P\".", + "id": "gpmprecipmgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MANUAL PRECIPITATION MEASUREMENTS GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-18", + "end_date": "2012-03-28", + "bbox": "-79.8, 44.2, -79.7, 44.3", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979685952-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979685952-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmprecipmgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Manual Precipitation Measurements GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada with data collections from January 18 - March 28, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Precipitation amount, weight, snow water equivalent and present weather condition were recorded using a Tretyakov gauge inside a double fence intercomparison reference (DFIR) shield.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-SEVIRI_SST_4.0", - "title": "GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-1) satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-30", - "end_date": "2012-03-15", - "bbox": "-100, -60, 45, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639968-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639968-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-EUR-L2P-SEVIRI_SST_4.0", - "description": "The Meteosat Second Generation (MSG) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by Meteo France/ Centre de Meteorologie Spatiale (CMS), is derived from the SEVIRI instrument on the first MSG satellite (also known as Meteosat-8) that was launched on 28 August 2002. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution on a hourly basis. Remapping of original pixel size to 11.6 km resolution is made by spatial averaging, and a 3-hourly temporal resolution SST is created by averaging the hourly SSTs having the best confidence level. Data from different MSG satellites are not averaged together. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5.", + "id": "gpmprecipolyx_1", + "title": "GPM Ground Validation Daily Precipitation OLYMPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-10-01", + "end_date": "2016-04-30", + "bbox": "-124.734, 46.2031, -122.391, 48.4844", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979686100-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979686100-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmprecipolyx_1", + "description": "The GPM Ground Validation Daily Precipitation Olympic Mountain Experiment (OLYMPEX) dataset consists of a single netCDF-4 data file containing estimates of daily precipitation, both rainfall and snowfall amounts, on a 1/32 degree spatial resolution grid covering the extent of the OLYMPEX field campaign region in the Olympic Mountains of the state of Washington. This data product was created for the GPM Ground Validation OLYMPEX field campaign. These VIC precipitation estimates are based on NOAA WSR-88D radar and rain gauge data incorporated in NOAA\u2019s National Severe Storms Laboratory (NSSL) local gauge bias-corrected radar quantitative precipitation estimation (QPE) model (product Q3GC) and the Mountain Mapper QPE model (product Q3MM). The VIC hydrology model was used to invert the snow water equivalent (SWE) values to derive precipitation through adjustment of the precipitation-weighting factor on a grid cell by grid cell basis. The VIC precipitation data are available from October 1, 2015 through April 30, 2016.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L2P-TMI_1.0", - "title": "GHRSST Level 2P Regional Subskin Sea Surface Temperature from the Tropical Rainfall Mapping Mission (TRMM) Microwave Imager (TMI) for the Atlantic Ocean (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2004-12-29", - "end_date": "2007-02-27", - "bbox": "-100, -40, 45, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638353-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638353-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-EUR-L2P-TMI_1.0", - "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to SSM/I, that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in November 1997. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset is derived from Remote Sensing Systems BMAPS (binary) format TMI SST subskin data. Data were downloaded for the North Atlantic region from Remote Sensing Systems every hour to capture the latest TMI observations. L2P data products were then produced to the GHRSST Data Processing Specification (GDS) version 1.5. Ascending (daytime) and descending (nighttime) orbits are packaged into separate netCDF files. Although the dataset designation is \"L2P\" it is actually a \"L3C\" dataset (gridded Level 3 collated) as defined by the GHRSST Data Processing Specification version 2.0. This dataset was originally produced for the GHRSST Pilot Project, the precursor to GHRSST, by the Medspiration Regional Data Assembly Center (RDAC) in Europe. As one of the first datasets produced as a prototype for GHRSST-PP it assumed an incorrect designation of \"L2P\".", + "id": "gpmpvigcpex_1", + "title": "GPM GROUND VALIDATION PRECIPITATION VIDEO IMAGER (PVI) GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-11-04", + "end_date": "2012-03-10", + "bbox": "-79.93, 44.18, -79.72, 44.69", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979686308-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979686308-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmpvigcpex_1", + "description": "The GPM Ground Validation Precipitation Video Imager (PVI) GCPEx dataset collected precipitation particle images and drop size distribution data from November 2011 through March 2012during the GPM Cold-season Precipitation Experiment (GCPEx). Data files in an Excel format contain the average, minimum, and logarithmic drop size distribution bin sizes and number of particles. Browse images are available online. The PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L3P-GLOB_AVHRR_METOP_A_1", - "title": "GHRSST Level 3P Global Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-09-01", - "end_date": "2013-07-03", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638553-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638553-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDNjIHN1Yi1za2luIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGdlb3N0YXRpb25hcnkgb3BlcmF0aW9uYWwgZW52aXJvbm1lbnRhbCBzYXRlbGxpdGVzIChnb2VzIDEzKSBpbWFnZXIgaW4gZWFzdCBwb3NpdGlvbiBwcm9kdWNlZCBieSBvc2kgc2FmIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtR09FUzEzLU9TSVNBRi1MM0NcIixcIjFcIiwyMjEzNjQxNzExLDFdIiwidW1tIjoiW1wiZ2hyc3N0IGxldmVsIDNjIHN1Yi1za2luIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGdlb3N0YXRpb25hcnkgb3BlcmF0aW9uYWwgZW52aXJvbm1lbnRhbCBzYXRlbGxpdGVzIChnb2VzIDEzKSBpbWFnZXIgaW4gZWFzdCBwb3NpdGlvbiBwcm9kdWNlZCBieSBvc2kgc2FmIChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtR09FUzEzLU9TSVNBRi1MM0NcIixcIjFcIiwyMjEzNjQxNzExLDFdIn0%3D/gov.noaa.nodc%3AGHRSST-EUR-L3P-GLOB_AVHRR_METOP_A_1", - "description": "A global Level 3 Group for High Resolution Sea Surface Temperature (GHRSST) dataset from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A platform (launched on 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The SST fields are derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. The MetOp-A SST L3P data are compliant with the Group for High Resolution SST (GHRSST) Data Specification (GDS) version 1.7.", + "id": "gpmpvilpvex_1", + "title": "GPM Ground Validation Precipitation Video Imager (PVI) LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-17", + "end_date": "2011-05-11", + "bbox": "104.99, 39.99, 105.01, 40.01", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979687446-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979687446-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmpvilpvex_1", + "description": "The GPM Ground Validation Precipitation Video Imager (PVI) LPVEx dataset consists of precipitation particle images and drop size distribution (DSD) data collected by the Precipitation Video Imager (PVI) during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility. Data files are available from September 17, 2010 through May 11, 2011 in Excel format and contain the average, minimum, and logarithmic DSD bin sizes and number of particles per unit time. Browse images are available in BMP and JPG formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L3P-NAR_AVHRR_METOP_A_1", - "title": "GHRSST Level 3P North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-09-01", - "end_date": "2013-07-03", - "bbox": "-76.02, 23.59, 72.97, 78.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639746-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639746-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L3P-NAR_AVHRR_METOP_A_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the MetOp-A platform (launched on 19 Oct 2006). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. The MetOp-A SST L3P data are compliant with the Group for High Resolution SST (GHRSST) Data Specification (GDS) version 1.7.", + "id": "gpmraddpgcpex_1", + "title": "GPM GROUND VALIDATION DUAL POLARIZATION RADIOMETER GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-11-23", + "end_date": "2012-03-01", + "bbox": "-79.92, 44.11, -79.6, 44.35", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979693621-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979693621-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmraddpgcpex_1", + "description": "The GPM Ground Validation Dual Polarization Radiometer GCPEx dataset includes brightness temperature measurements at frequencies 90 GHz (not polarized) and 150 GHz (HV-polarized) for the GPM Cold-season Precipitation Experiment (GCPEx) which occurred in Ontario, Canada. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. This dual polarization radiometer (DPR) is sensitive to particle orientation since it observes the brightness temperature difference between the vertical and horizontal polarization channels at 150 GHz, and it is especially important for the retrievals of particle shape and orientation with polarization observations. DPR also has a high sensitivity to the supercooled liquid water in clouds due to the high-frequency window channels. Even though the netCDF data has regular scans, the browse images are only shown at 30 and 150 degrees. Ancillary data was also captured for the internal calibration of the instrument.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L3P-NAR_AVHRR_NOAA_19_1", - "title": "GHRSST Level 3P North Atlantic Regional Subskin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-19 (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-12-10", - "end_date": "2013-07-04", - "bbox": "-76.02, 23.59, 72.97, 78.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638527-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638527-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L3P-NAR_AVHRR_NOAA_19_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic Region (NAR) from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009). This particular dataset is produced by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) in France. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The MetOp-A platform is sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The NAR products are SST fields derived from 1km AVHRR data that are re-mapped onto a 0.02 degree equal angle grid. In the processing chain, global AVHRR level 1b data are acquired at Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. A cloud mask is applied and SST is retrieved from the AVHRR infrared (IR) channels by using a multispectral technique. The NOAA-19 SST L3P data are compliant with the Group for High Resolution SST (GHRSST) Data Specification (GDS) version 1.7.", + "id": "gpmradioiphx_1", + "title": "GPM Ground Validation UNCA Upper Air Radiosonde IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-29", + "end_date": "2014-06-12", + "bbox": "-82.5944, 35.1665, -81.4548, 36.5301", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979694031-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979694031-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmradioiphx_1", + "description": "The GPM Ground Validation UNCA Upper Air Radiosonde IPHEx dataset was collected from April 29, 2014 through June 12, 2014 during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina. The goal of IPHEx was to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These radiosonde data files include pressure, geometric height, temperature, relative humidity, dew point temperature, wind direction, and wind speed measurements at various levels of the troposphere. The data are available in ASCII-tsv format files, and browse imagery are available as Portable Network Graphics (PNG) format files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L4HRfnd-GLOB-ODYSSEA_1.0", - "title": "GHRSST Level 4 ODYSSEA Global Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2007-10-01", - "end_date": "", - "bbox": "-180, -80, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639515-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639515-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4HRfnd-GLOB-ODYSSEA_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a global 0.1 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 10km resolution (0.1 degree) over the full globe. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project.", + "id": "gpmradmecgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) RADIOMETER GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-02-14", + "end_date": "2012-03-01", + "bbox": "-79.7806, 44.2332, -79.7806, 44.2332", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979694410-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979694410-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmradmecgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Radiometer GCPEx dataset contains retrievals of temperature, water vapor, relative humidity, liquid water profiles and surface parameters acquired by a passive microwave radiometer during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada, February 14, 2012 through March 1, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L4UHFnd-MED_1.0", - "title": "GHRSST Level 4 EUR Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2005-04-26", - "end_date": "2008-01-14", - "bbox": "-5.99, 30.01, 36.49, 45.99", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639804-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639804-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-EUR-L4UHFnd-MED_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily by Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the Mediterranean Sea. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), and the Tropical Rainfall Measuring Mission Microwave Imager (TMI). The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). This dataset was the first Level 4 product produced by the GHRSST Project. It has been superseded by the ODYSSEA L4 product for this region: GHRSST Level 4 ODYSSEA Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis.", + "id": "gpmradpmgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-12-05", + "end_date": "2012-03-03", + "bbox": "-79.7906, 44.2232, -79.7706, 44.2432", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979695109-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979695109-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmradpmgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L4UHRfnd-GAL-ODYSSEA_1.0", - "title": "GHRSST Level 4 ODYSSEA Eastern Central Pacific Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-01-23", - "end_date": "", - "bbox": "-120, -20, -69, 20", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638476-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638476-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4UHRfnd-GAL-ODYSSEA_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the Galapagos Islands and the Eastern Central Pacific. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project.", + "id": "gpmradsecgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) RADIOSONDE GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-17", + "end_date": "2012-02-29", + "bbox": "-79.85, 43.38, -78, 44.96", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979695305-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979695305-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmradsecgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Radiosonde GCPEx dataset provides measurements of pressure, temperature, humidity, and winds collected by Vaisala RS92 Radiosondes during the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE site in Ontario, Canada, January 17, 2012 through February 29, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L4UHRfnd-MED-ODYSSEA_1.0", - "title": "GHRSST Level 4 ODYSSEA Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-01-01", - "end_date": "", - "bbox": "-18.5, 30, 36.5, 46.5", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638549-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213638549-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4UHRfnd-MED-ODYSSEA_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the Mediterranean Sea. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project. This dataset supersedes the original Level 4 product for this region: GHRSST Level 4 EUR Mediterranean Sea Regional Foundation Sea Surface Temperature Analysis.", + "id": "gpmrefifld_1", + "title": "GPM Ground Validation Reference Rainfall Data Product IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-05-01", + "end_date": "2013-06-16", + "bbox": "-94.4625, 40.7292, -89.8996, 44.2128", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979695522-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979695522-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmrefifld_1", + "description": "The GPM Ground Validation Reference Rainfall Data Product IFloodS dataset contains hourly rainfall accumulation estimates over central and northeastern Iowa for the period of 1 May to 16 June, 2013. This product is created by combining ground-based radar estimates collected for the Iowa Flood Studies (IFloodS) campaign. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The data are available in gzipped ASCII files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-EUR-L4UHRfnd-NWE-ODYSSEA_1.0", - "title": "GHRSST Level 4 ODYSSEA North-Western Europe Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-01-23", - "end_date": "", - "bbox": "-13, 43, 9, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639472-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639472-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-EUR-L4UHRfnd-NWE-ODYSSEA_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at Ifremer/CERSAT (France) using optimal interpolation (OI) on a regional 0.02 degree grid. It provides a daily cloud-free field of foundation sea surface temperature at approximately 2 km resolution (0.02 degree) for the North-Western European shelves. It is generated by merging microwave and infrared satellite sea surface temperature observations including those from the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and the Geostationary Operational Environmental Satellite (GOES) Imager. The satellite SST observations are intercalibrated using the AATSR sensor as a reference (previously re-calibrated using all available in situ data). The development of the global real-time sea surface temperature at Ifremer/CERSAT is supported by European Commission initially in the frame of MERSEA project.", + "id": "gpmrefpreiphx_1", + "title": "GPM Ground Validation Reference Precipitation IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2007-12-31", + "end_date": "2017-12-31", + "bbox": "-83.6, 35, -82.6, 36", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982863420-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982863420-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmrefpreiphx_1", + "description": "The GPM Ground Validation Reference Precipitation IPHEx dataset consists of 10 years (December 31, 2007-December 31, 2017) of hourly rainfall intensity at 1 km2 resolution over the core region of the Integrated Precipitation and Hydrology Experiment (IPHEx), that is centered in the Pigeon River Basin in North Carolina. The goal of the IPHEx field campaign was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. Data files are available in ASCII format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-GAMSSA_28km-ABOM-L4-GLOB_1.0", - "title": "GHRSST Level 4 GAMSSA_28km Global Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-08-24", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639772-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639772-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-GAMSSA_28km-ABOM-L4-GLOB_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a global 0.25 degree grid. This Global Australian Multi-Sensor SST Analysis (GAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers with in situ data from ships, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.", + "id": "gpmrfcmpifld_1", + "title": "GPM Ground Validation Iowa Flood Center (IFC) NEXRAD Composite IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-15", + "end_date": "2013-06-30", + "bbox": "-97.1542, 40.1333, -89.9036, 44.5337", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1982957832-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1982957832-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmrfcmpifld_1", + "description": "The GPM Ground Validation Iowa Flood Center (IFC) NEXRAD Composite IFloodS dataset contains rain rate estimates derived using NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign, in support of Global Precipitation Measurement (GPM) ground validation. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered in the vicinity of the IFloodS field campaign which took place in Iowa and surrounding areas during April 19, 2013 through June 30, 2013. This NEXRAD Composite data product is available in netCDF-4 or ASCII format with associated reflectivity browse imagery available in GIF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-GMI-REMSS-L3U_8.2a", - "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from GMI onboard GPM satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2017-11-28", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641260-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641260-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-GMI-REMSS-L3U_8.2a", - "description": "The Global Precipitation Measurement (GPM) satellite was launched on February 27th, 2014 with the GPM Microwave Imager (GMI) instrument on board. The GPM mission is a joint effort between NASA, the Japan Aerospace Exploration Agency (JAXA) and other international partners. In march 2005, NASA has chosen the Ball Aerospace and Technologies Corp., Boulder, Colorado to build the GMI instrument on the continued success of the Tropical Rainfall Measuring Mission (TRMM) satellite by expanding current coverage of precipitation from the tropics to the entire world. GMI is a dual-polarization, multi-channel, conical-scanning, passive microwave radiometer with frequent revisit times. One of the primary differences between GPM and other satellites with microwave radiometers is the orbit, which is inclined 65 degrees, allowing a full sampling of all local Earth times repeated approximately every 2 weeks. The GPM platform undergoes yaw maneuvers approximately every 40 days to compensate for the sun's changing position and prevent the side of the spacecraft facing the sun from overheating. Today, the GMI instrument plays an essential role in the worldwide measurement of precipitation and environmental forecasting. Sea Surface Temperature (SST) is one of its major products. The GMI data from the Remote Sensing System (REMSS) have been produced using an updated RTM, Version-8. The V8 brightness temperatures from GMI are slightly different from the V7 brightness temperatures; The SST datasets are available in near-real time (NRT) as they arrive, with a delay of about 3 to 6 hours, including the Daily, 3-Day, Weekly, and Monthly time series products.", + "id": "gpmrgachiphx_1", + "title": "GPM Ground Validation Rain Gauges NASA ACHIEVE IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-15", + "bbox": "-83.1, 35.51, -83.08, 35.52", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979697152-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979697152-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmrgachiphx_1", + "description": "The GPM Ground Validation Rain Gauges NASA ACHIEVE IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 9, 2014 through June 14, 2014. This dataset includes data from the Optical Scientific Optical Rain Gauge instrument and Novalynx Tipping Bucket Rain Gauge instrument which are both part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. The optical rain gauge obtains high sensitivity optical measurements for precipitation rate and quantity, as well as measures 24-hour cumulative precipitation, precipitation rate, and temperature. The tipping bucket rain gauge is a standard tipping bucket rain gauge that measures 24-hour cumulative precipitation. Data files are available in netCDF-3 format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-GOES13-OSISAF-L3C_1", - "title": "GHRSST Level 3C sub-skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES 13) Imager in East position produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2015-06-29", - "end_date": "2017-12-14", - "bbox": "135, -60, -15, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641711-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641711-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-GOES13-OSISAF-L3C_1", - "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the America Region (AMERICAS) based on retrievals from the GOES-13 Imager on board GOES-13 satellite. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES 13 in East position. GOES 13 imager level 1 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the GOES 13 infrared channels (3.9 and 10.8 micrometer) using a multispectral algorithm. Due to the lack of 12 micrometer channel in the GOES 13 imager, SST retrieval is not possible in daytime conditions. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 30 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating 30 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmrgdukeiphx_1", + "title": "GPM Ground Validation Duke Rain Gauges IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-15", + "bbox": "-83.3713, 35.3683, -82.271, 35.8876", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979697430-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979697430-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmrgdukeiphx_1", + "description": "The GPM Ground Validation Duke Rain Gauge data were collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign which was held in the Southern Appalachian region, including the Piedmont and Coastal Plain regions of North Carolina. TB3 Model Tipping Bucket rain gauges collected precipitation data from May 1, 2014 through June 15, 2014. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The rain gauge data are available in ASCII-csv (comma separated) format for each of the rain gauge locations.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-GOES16-OSISAF-L3C_1", - "title": "GHRSST L3C OSISAF SSTskin dataset v1.0 from GOES16 ABI in East position (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2018-10-02", - "end_date": "", - "bbox": "-135, -60, -15, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640438-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640438-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-GOES16-OSISAF-L3C_1", - "description": "The data is regional and part of the High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset covering the America Region (AMERICAS) based on retrievals from the Advanced Baseline Imager (ABI) on board the Geostationary Operational Environmental Satellite-16 (GOES-16). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES-16 in the Eastern position. GOES-16 Imager level 1 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. The new GOES-East platform (GOES-16) enables daytime SST calculations (whereas, previously, GOES East SST was restricted to nighttime conditions). The GOES-16 SST is derived from three-bands (centered at 8.4, 10.3, and 12.3 um) algorithm. The ABI split-window configuration features three bands instead of the two found in heritage sensors. This offers additional potential but also may present a challenge if the two end bands centered at 10.3 and 12.3 um are pushed too far in the absorption lines. The 8.5-um is used in conjunction with the 10.3-um and 12.3-um bands for improved thin cirrus detection as well as for better atmospheric moisture correction in relatively dry atmospheres. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Each 30-minute observation interval is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating 30-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmrgifcifld_1", + "title": "GPM Ground Validation Iowa Flood Center (IFC) Rain Gauges IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-28", + "end_date": "2013-05-20", + "bbox": "-91.6459, 41.8548, -91.6348, 41.8599", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979697680-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979697680-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmrgifcifld_1", + "description": "The GPM Ground Validation Iowa Flood Center (IFC) Rain Gauges IFloodS dataset was collected during the Iowa Flood Studies (IFloodS) field campaign from April 28, 2013 through May 20, 2013 near Shueyville City, Iowa. Four observation sites (15442, 15443, 15444, and 22390), each consisting of three tipping bucket rain gauges that collected 5-minute accumulations of precipitation data. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Specifically, this meant collecting detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. These IFC Rain Gauge data are available in ASCII format, with corresponding browse images available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-IASI_SST_METOP_A-OSISAF-L2P_1", - "title": "GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-A satellite produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2015-06-29", - "end_date": "2016-02-23", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641256-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641256-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-IASI_SST_METOP_A-OSISAF-L2P_1", - "description": "A global 1 km Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-A (MetOp-A) satellite (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures in the infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to 40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morning orbit (9:30 Local Solar Time equator crossing, descending node) global observations can be provided twice a day. The SST retrieval is performed and provided by the IASI L2 processor at EUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmrgnaifld2_2", + "title": "GPM GROUND VALIDATION MET ONE RAIN GAUGE PAIRS IFLOODS V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-06", + "end_date": "2013-12-27", + "bbox": "-93.5207, 41.8471, -91.1898, 43.3706", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979699547-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979699547-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmrgnaifld2_2", + "description": "The GPM Ground Validation Met One Rain Gauge Pairs IFloodS V2 data measures the amount of fallen precipitation collected by a Model 380 tipping bucket rain gauge made by Met One Instruments, Inc. The gauge has a 30.5 cm diameter catchment funnel. Precipitation is collected to a resolution of 0.254 mm of liquid water for each bucket tip. These gauges measure rainfall over a 1 second interval. This data set has two types of files, the 1 second rainfall data and a 1-minute cubic-spline interpolated rain rate produced using the method described in Wang, 2008. There are two rain gauges located on each station (A or B), each with their own set of data files. Data were collected from April 2013 through December 2013 as part of the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment. More detailed information about the Met One Model 380 Precipitation Gauge is available at http://www.metone.com/docs/370_380_precipitation_gauge.pdf", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-IASI_SST_METOP_B-OSISAF-L2P_1", - "title": "GHRSST Level 2P Global skin Sea Surface Temperature from the Infrared Atmospheric Sounding Interferometer (IASI) on the Metop-B satellite produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2016-02-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639864-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639864-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-IASI_SST_METOP_B-OSISAF-L2P_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Infrared Atmospheric Sounding Interferometer (IASI) on the European Meteorological Operational-B (MetOp-B) satellite (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near realtime from METOP/IASI. The Infrared Atmospheric Sounding Interferometer (IASI) measures in the infrared part of the electromagnetic spectrum at a horizontal resolution of 12 km at nadir up to 40km over a swath width of about 2,200 km. With 14 orbits in a sun-synchronous mid-morning orbit (9:30 Local Solar Time equator crossing, descending node) global observations can be provided twice a day. The SST retrieval is performed and provided by the IASI L2 processor at EUMETSAT headquarters. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmrgnaiphx2_2", + "title": "GPM GROUND VALIDATION MET ONE RAIN GAUGE PAIRS IPHEX V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-09-11", + "end_date": "2014-10-30", + "bbox": "-83.5908, 35.083, -82.5649, 35.8857", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979700275-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979700275-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmrgnaiphx2_2", + "description": "The GPM Ground Validation Met One Rain Gauge IPHEx V2 data were collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) using Met One Model 380 tipping bucket precipitation gauges from September 11, 2013 to October 30, 2014 in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The dataset contains two ASCII files per rain gauge with two rain gauges on a station platform. The gag dataset is quality-controlled reformatted precipitation recorded in millimeters at a temporal resolution of 1 minute and the gmin dataset contains cubic spline interpolated rain rates in millimeters per hour at 1 minute resolution.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Ad_1", - "title": "GHRSST Level 4 RTO Aqua MODIS-AMSRE Day North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2010-12-30", - "end_date": "2012-09-13", - "bbox": "-165, -20, -30, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639981-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639981-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Ad_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Aqua and AMSRE composite using daytime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", + "id": "gpmrgnamc3e2_2", + "title": "GPM GROUND VALIDATION RAIN GAUGE PAIRS MC3E V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-06", + "bbox": "-97.5515, 36.5644, -97.4261, 36.6381", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979700643-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979700643-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmrgnamc3e2_2", + "description": "The GPM Ground Validation Rain Gauge Pairs MC3E V2 data measures the amount of fallen precipitation collected by tipping bucket rain gauges made by Met One Instruments, Inc. and Campbell Scientific Corp. Precipitation from each is collected to a resolution of 0.254 mm of liquid water for each bucket tip. These gauges record the rainfall at a 1-minute resolution. This data set has two types of files, the recorded rainfall value (mm) and a cubic-spline interpolated rain rate (mm/hr) produced using the method described in Wang, 2008. There are two rain gauges located on each station (A or B), each with their own set of data files. Data were collected from April 2011 through June 2011 as part of the GPM Ground Validation Mid-latitude Continental Convective Cloud Experiment (MC3E). Detailed information about the Met One Model 380 Precipitation Gauge is available at http://www.metone.com/docs/370_380_precipitation_gauge.pdf. Details about the Campbell Scientific rain gauge is found at https://s.campbellsci.com/documents/us/product-brochures/b_385.pdf.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_An_1", - "title": "GHRSST Level 4 RTO Aqua MODIS-AMSRE Night North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2010-12-30", - "end_date": "2012-09-20", - "bbox": "-165, -20, -30, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640072-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640072-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_An_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Aqua and AMSRE composite using nighttime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", + "id": "gpmrgnaolyx_1", + "title": "GPM Ground Validation Met One Rain Gauge Pairs OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-01-01", + "end_date": "2016-06-20", + "bbox": "-124.369, 46.4478, -122.631, 48.0795", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979701018-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979701018-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmrgnaolyx_1", + "description": "The GPM Ground Validation Met One Rain Gauge Pairs OLYMPEX dataset contains precipitation amount and precipitation rate data collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Met One Rain Gauge Pairs are tipping bucket precipitation gauges which collect precipitation amounts and calculate precipitation rates. This dataset contains two ASCII-tsv files per rain gauge and two rain gauges are located on each station platform. The Met One Rain Gauge Pairs OLYMPEX dataset files are available from January 1, 2015 through June 20, 2016 in ASCII-tsv format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Td_1", - "title": "GHRSST Level 4 RTO Terra MODIS-AMSRE Day North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2010-12-30", - "end_date": "2012-09-13", - "bbox": "-165, -20, -30, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639976-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639976-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Td_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Terra and AMSRE composite using daytime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", + "id": "gpmrgsaiphx_1", + "title": "GPM Ground Validation Southern Appalachian Rain Gauge IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2008-01-03", + "end_date": "2014-12-31", + "bbox": "-83.3713, 35.3683, -81.232, 35.8876", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2014483499-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2014483499-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmrgsaiphx_1", + "description": "The GPM Ground Validation Southern Appalachian Rain Gauge IPHEx dataset was collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign consisting of 45 observation sites. The main goal of IPHEx were to characterize warm season orographic precipitation regimes and hydrologic processes in regions of complex terrain, to contribute to the development, evaluation, and improvement of remote sensing precipitation algorithms in support of the GPM mission. These data are available in ASCII-csv format from January 3, 2008 thru December 31, 2014. Data collection began in 2008 due to the entire network being funded by the NASA Precipitation Measurement Missions (PMM) to make these observations of orographic precipitation in preparation for the IPHEx field campaign.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Tn_1", - "title": "GHRSST Level 4 RTO Terra MODIS-AMSRE Night North America Regional Blended Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2010-12-30", - "end_date": "2012-09-20", - "bbox": "-165, -20, -30, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639990-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213639990-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHblend-NCAMERICA-RTO_SST_Tn_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the JPL Physical Oceanography DAAC using weighted averages on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). This Research to Operations (RTO) analysis is based upon a composite of either nighttime or daytime GHRSST L2P skin SST from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms, and subskin SST observations from the Advanced Microwave Scanning Radiometer-EOS (AMSRE). Four unique products (composites) are created: MODIS Terra/AMSRE day and night, and MODIS Aqua/AMSRE day and night. This particular dataset represents a MODIS Terra and AMSRE composite using nighttime data. The algorithm is based on a weighting scheme and compositing whereby MODIS data are used if they exist to preserve the highest resolution possible. The product is categorized as blended because no attempt is made to correct for foundation or skin temperature.", + "id": "gpmsatpaifld_1", + "title": "GPM Ground Validation Satellite Overpasses IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-01", + "end_date": "2013-06-30", + "bbox": "-98.12, 38.41, -85.86, 47.39", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979701486-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979701486-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmsatpaifld_1", + "description": "The GPM Ground Validation Satellite Overpasses IFloodS dataset contains plots of satellite overpass paths centered over eastern Iowa during the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) field campaign. The campaign aimed to collect detailed measurements of precipitation at the Earth\u2019s surface while simultaneously collecting data from satellites passing overhead. This dataset consists of paths for Earth observation satellites operating during the campaign: NASA\u2019s AQUA, TERRA, and CloudSat satellites; NOAA\u2019s NOAA-15, NOAA-16, NOAA-17, NOAA-18, and Suomi NPP satellites; Europe\u2019s MetOp-A and MetOp-B satellites, and DMSP\u2019s F-15, F-16, F-17, and F-18 satellites. The satellite overpasses are provided as PNG plot images and as KML files with which the paths can be imported and viewed in Google Earth.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-JPL-L4UHfnd-NCAMERICA-MUR_1", - "title": "GHRSST Level 4 MUR North America Regional Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-04-01", - "end_date": "2010-03-31", - "bbox": "-165, -20, -30, 62", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640197-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640197-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-JPL-L4UHfnd-NCAMERICA-MUR_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a regional 0.011 degree grid over the oceans off North and Central America (62N- 20S, 165W - 30W). The Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments such as: the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), and the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platforms. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center. This dataset is funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio Chin from JPL.", + "id": "gpmsbdminmc3e_1", + "title": "GPM GROUND VALIDATION NOAA S-BAND PROFILER MINUTE DATA MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-16", + "end_date": "2011-06-07", + "bbox": "-97.49, 36.61, -97.49, 36.61", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979702104-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979702104-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmsbdminmc3e_1", + "description": "The GPM Ground Validation NOAA S-Band Profiler Minute Data MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma from April-June 2011. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band 2.8 GHz profiler measured the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. After calibration, the instrument provided an unattenuated reflectivity estimate through the precipitation. Spectra and moment files are included in netCDF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-JPL_OUROCEAN-L4UHfnd-GLOB-G1SST_1", - "title": "GHRSST Level 4 G1SST Global Foundation Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2010-06-09", - "end_date": "2020-01-18", - "bbox": "-180, -80, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640160-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640160-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-JPL_OUROCEAN-L4UHfnd-GLOB-G1SST_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis by the JPL OurOcean group using a multi-scale two-dimensional variational (MS-2DVAR) blending algorithm on a global 0.009 degree grid. This Global 1 km SST (G1SST) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Advanced Along Track Scanning Radiometer (AATSR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Tropical Rainfall Measuring Mission Microwave Imager (TMI), the Moderate Resolution Imaging Spectroradiometer (MODIS), the Geostationary Operational Environmental Satellite (GOES) Imager, the Multi-Functional Transport Satellite 1R (MTSAT-1R) radiometer, and in situ data from drifting and moored buoys.", + "id": "gpmsbdorgmc3e_1", + "title": "GPM GROUND VALIDATION NOAA S-BAND PROFILER ORIGINAL DWELL DATA MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-16", + "end_date": "2011-06-07", + "bbox": "-97.49, 36.61, -97.49, 36.61", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979704337-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979704337-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmsbdorgmc3e_1", + "description": "The GPM Ground Validation NOAA S-Band Profiler Original Dwell Data MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma from April 16, 2011 to June 7, 2011. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band profiler operated at 2.8 GHz, pointed vertically, and measured the backscattered power from raindrops and ice particles as precipitating cloud systems passed overhead. The S-band operated in two modes: precipitation mode and attenuated mode. The precipitation mode was the normal or full-power mode, and the attenuated mode was the low-power mode. The profiler alternated between modes collecting either 7 or 9 consecutive precipitation mode profiles separated by 1 attenuated mode profile. Both modes processed radar pulses collected during a 7-second dwell before calculating the Doppler velocity spectra at each radar range gate that were separated by 60-meters in the vertical. The attenuated and precipitation mode data are available in moment, pop spectra (uncalibrated raw spectra) and calibrated spectra hourly files. The S-band spectra were calibrated against the surface disdrometer to determine a radar calibration constant. Calibrated spectra were constructed for each profile and are expressed as reflectivity spectral density. After calibration, the instrument provides a reflectivity estimate through the precipitation. Data is in hourly files in the netCDF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-K10_SST-NAVO-L4-GLOB_1.0", - "title": "GHRSST Level 4 K10_SST Global 10 km Analyzed Sea Surface Temperature from Naval Oceanographic Office (NAVO) (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-04-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641647-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641647-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-K10_SST-NAVO-L4-GLOB_1.0", - "description": "This is a Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis dataset produced daily on an operational basis by the Naval Oceanographic Office (NAVO) on a global 0.1x0.1 degree grid. The K10 (NAVO 10-km gridded SST analyzed product) L4 analysis uses SST observations from the following instruments: Advanced Very High Resolution Radiometer (AVHRR), Visible Infrared Imaging Radiometer Suite (VIIRS), and Spinning Enhanced Visible and InfraRed Imager (SEVIRI). The AVHRR data for this comes from the MetOp-A, MetOp-B, and NOAA-19 satellites; VIIRS data is sourced from the Suomi_NPP satellite; SEVIRI data comes from the Meteosat-8 and -11 satellites. The age (time-lag), reliability, and resolution of the data are used in the weighted average with the analysis tuned to represent SST at a reference depth of 1-meter. Input data from the AVHRR Pathfinder 9km climatology dataset (1985-1999) is used when no new satellite SST retrievals are available after 34 days. Comparing with its predecessor, this updated dataset has no major changes in Level-4 interpolated K10 algorithm, except for using different satellite instrument data, and updating metadata and file format. The major updates include: (a) updated and enhanced the granule-level metadata information, (b) converted the SST file from GHRSST Data Specification (GDS) v1.0 to v2.0, (c) added the sea_ice_fraction variable to the product, and (d) updated the filename convention to reflect compliance with GDS v2.0.", + "id": "gpmsbdrwncmc3e_1", + "title": "GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA NETCDF FORMAT MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-08", + "end_date": "2011-06-07", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979713613-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979713613-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmsbdrwncmc3e_1", + "description": "The GPM Ground Validation NOAA S-Band Profiler Raw Data NetCDF Format MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-MODIS_A-JPL-L2P_2019.0", - "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua satellite (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-06-30", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642620-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642620-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-MODIS_A-JPL-L2P_2019.0", - "description": "NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 1:30 pm, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. MODIS L2P SST data have a 1 km spatial resolution at nadir and are stored in 288 five minute granules per day. Full global coverage is obtained every two days, with coverage poleward of 32.3 degree being complete each day. The production of MODIS L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS are responsible for SST algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of daily MODIS ocean products. JPL acquires MODIS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and ancillary variables, and distributes the data as the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous R2014.0 datasets.", + "id": "gpmsbdrwspcmc3e_1", + "title": "GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA SPC FORMAT MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-08", + "end_date": "2011-06-07", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979716838-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979716838-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmsbdrwspcmc3e_1", + "description": "The GPM Ground Validation NOAA S-Band Profiler Raw Data SPC Format MC3E dataset is the S-band Profiler Raw dataset was saved in Vaisala SPC format. The numeric values in both formats are exactly the same. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band Profiler Raw dataset in the proprietary Vaisala SPC format was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets. Specialized read software may be purchased from Vaisala.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-MODIS_T-JPL-L2P_2019.0", - "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Terra satellite (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-10-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640705-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213640705-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-MODIS_T-JPL-L2P_2019.0", - "description": "NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite. Terra was launched by NASA on December 18, 1999, into a sun synchronous, polar orbit with a daylight descending node at 10:30 am, to study the global dynamics of the Earth atmosphere, land and oceans. The MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity with SST derived from heritage and current NASA sensors. At night, a second SST product is produced using the mid-infrared 3.95 and 4.05 micron channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be produced at night. MODIS L2P SST data have a 1 km spatial resolution at nadir and are stored in 288 five minute granules per day. Full global coverage is obtained every two days, with coverage poleward of 32.3 degree being complete each day. The production of MODIS L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project, and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS are responsible for SST algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of daily MODIS ocean products. JPL acquires MODIS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and ancillary variables, and distributes the data as the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous R2014.0 datasets.", + "id": "gpmscampriphx_1", + "title": "GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) IPHEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-04-30", + "end_date": "2014-06-16", + "bbox": "-91.741, 27.897, -71.798, 42.921", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979717298-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979717298-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmscampriphx_1", + "description": "The GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) IPHEx dataset contains rainfall rate measurements derived using the SCaMPR algorithm to combine GOES infrared (IR) data and derived parameters as inputs. The SCaMPR algorithm is calibrated using microwave rainfall estimates from the Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Sounding Unit (AMSU). This dataset contains the values for the time period of the IPHEx campaign from April 30, 2015 to June 17, 2015. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These data are available in netCDF-4 format, while browse images are available in GIF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-MUR-JPL-L4-GLOB_4.1", - "title": "GHRSST Level 4 MUR Global Foundation Sea Surface Temperature Analysis (v4.1) (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2002-06-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642059-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642059-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-MUR-JPL-L4-GLOB_4.1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset (four day latency) and near-real-time dataset (one day latency) at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.01 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains additional variables for some granules including a SST anomaly derived from a MUR climatology and the temporal distance to the nearest IR measurement for each pixel. This dataset is funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects), and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. Use the file global metadata \"history:\" attribute to determine if a granule is near-realtime or retrospective.", + "id": "gpmseafluxicepop_1", + "title": "GPM Ground Validation SEA FLUX ICE POP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-09-01", + "end_date": "2018-04-30", + "bbox": "98.5, 8.5, 177.5, 54.25", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995570197-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995570197-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmseafluxicepop_1", + "description": "The GPM Ground Validation SEA FLUX ICE POP dataset includes estimates of ocean surface latent and sensible heat fluxes, 10m wind speed, 10m air temperature, 10m air humidity, and skin sea surface temperature in support of the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to the Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This data file is available in netCDF-4 format from September 1, 2017 through April 30, 2018.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-MUR25-JPL-L4-GLOB_4.2", - "title": "GHRSST Level 4 MUR 0.25deg Global Foundation Sea Surface Temperature Analysis (v4.2) (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2017-12-20", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645212-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645212-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-MUR25-JPL-L4-GLOB_4.2", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced as a retrospective dataset at the JPL Physical Oceanography DAAC using wavelets as basis functions in an optimal interpolation approach on a global 0.25 degree grid. The version 4 Multiscale Ultrahigh Resolution (MUR) L4 analysis is based upon nighttime GHRSST L2P skin and subskin SST observations from several instruments including the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. The ice concentration data are from the archives at the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF) High Latitude Processing Center and are also used for an improved SST parameterization for the high-latitudes. The dataset also contains an additional SST anomaly variable derived from a MUR climatology (average between 2003 and 2014). This dataset was originally funded by the NASA MEaSUREs program (http://earthdata.nasa.gov/our-community/community-data-system-programs/measures-projects) and the NASA CEOS COVERAGE project and created by a team led by Dr. Toshio M. Chin from JPL. It adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmsgifcifld_1", + "title": "GPM Ground Validation Iowa Flood Center (IFC) Stream Flow IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-31", + "end_date": "2013-06-30", + "bbox": "-95.7045, 40.7275, -90.4685, 43.3423", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979722410-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979722410-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmsgifcifld_1", + "description": "The GPM Ground Validation Iowa Flood Center (IFC) Stream Flow IFloodS dataset was obtained from the IFC during the Iowa Flood Studies (IFloodS) field campaign that extended from March 31, 2013 through June 30, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. The IFC monitors stage levels using sensors attached to the side of bridges throughout Iowa. The sensor data are downloaded from the Iowa Flood Information System (IFIS) as support data for the IFloodS campaign. The IFC Stream Flow data were collected in real-time and provide measurements at 15 minute intervals. These IFC Stream Flow IFloodS data are available in XML format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-MW_IR_OI-REMSS-L4-GLOB_5.0", - "title": "GHRSST Level 4 MW_IR_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2005-08-21", - "end_date": "", - "bbox": "-179, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645711-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645711-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-MW_IR_OI-REMSS-L4-GLOB_5.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.09-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from both microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite, and infrared (IR) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua and Terra platform and the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi-NPP satellite. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST) while infrared radiometers (i.e., MODIS) have a higher spatial resolution. This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.", + "id": "gpmsgusgsifld_1", + "title": "GPM Ground Validation USGS Stream Flow IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2008-07-24", + "end_date": "2013-07-01", + "bbox": "-96.5619, 40.6017, -90.1904, 43.4697", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979723016-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979723016-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmsgusgsifld_1", + "description": "The GPM Ground Validation USGS Stream Flow IFloodS dataset was obtained from USGS during the Iowa Flood Studies (IFloodS) field campaign that extended from March 30, 2013 through June 30, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. The USGS monitors streamflow using gauges on streams and rivers throughout the U.S. For the IFloodS field campaign, streamflow data from about 200 gauges in the Iowa IFloodS study area were downloaded from the USGS web site as support data for the campaign. The USGS streamflow data were collected in real-time and provide measurements at 15-60 minute intervals. These USGS Stream Flow data are available in XML format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-MW_OI-REMSS-L4-GLOB_5.0", - "title": "GHRSST Level 4 MW_OI Global Foundation Sea Surface Temperature analysis version 5.0 from REMSS (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2003-06-17", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641506-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641506-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-MW_OI-REMSS-L4-GLOB_5.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.25-degree grid at Remote Sensing Systems. This product uses optimal interpolation (OI) from microwave (MW) sensors including the Global Precipitation Measurement (GPM) Microwave Imager (GMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the NASA Advanced Microwave Scanning Radiometer-EOS (AMSRE), the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite, and WindSat operates on the Coriolis satellite. The through-cloud capabilities of microwave radiometers provide a valuable picture of global sea surface temperature (SST). This analysis does not use any in situ SST data such as drifting buoy SST. Comparing with previous version 4.0 dataset, the version 5.0 has made the updates in several areas, including the diurnal warming model, the sensor-specific error statistics (SSES) for each microwave sensor, the sensor correlation model, and the quality mask.", + "id": "gpmsimorbc3vp_1", + "title": "GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS C3VP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2007-01-20", + "end_date": "2007-01-23", + "bbox": "25, 34, 23, 75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979727317-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979727317-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmsimorbc3vp_1", + "description": "The GPM Ground Validation Satellite Simulated Orbits C3VP dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NAVO-L2P-AVHRR17_G_1.0", - "title": "GHRSST Level 2P Global Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NAVO (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-06-21", - "end_date": "2009-07-06", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642648-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642648-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-NAVO-L2P-AVHRR17_G_1.0", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched 24 June 2002) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. This particular dataset is produced from GAC data that are derived from an on-board sample averaging of the full resolution global AVHRR data. Four out of every five samples along the scan line are used to compute on average value and the data from only every third scan line are processed, yielding an effective 4 km resolution at nadir. Further binning and averaging of these pixels results in a final dataset resolution of 8.8 km.", + "id": "gpmsimorblpvex_1", + "title": "GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS LPVEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-21", + "end_date": "2010-10-21", + "bbox": "23, 34, 25, 75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979728494-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979728494-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmsimorblpvex_1", + "description": "The GPM Ground Validation Satellite Simulated Orbits LPVEx dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NAVO-L2P-AVHRR17_L_1.0", - "title": "GHRSST Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NAVO (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-06-21", - "end_date": "2008-09-16", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643925-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643925-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-NAVO-L2P-AVHRR17_L_1.0", - "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched 24 June 2002) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.", + "id": "gpmsimorbmc3e_1", + "title": "GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-25", + "end_date": "2011-05-21", + "bbox": "-121, 28, -91, 43", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979728927-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979728927-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmsimorbmc3e_1", + "description": "The GPM Ground Validation Satellite Simulated Orbits MC3E dataset is available in the Orbital database , which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NAVO-L2P-AVHRR18_L_1.0", - "title": "GHRSST Level 2P Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite produced by NAVO (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-01-25", - "end_date": "2009-09-09", - "bbox": "-180, -70, 180, 80", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641263-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641263-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NAVO-L2P-AVHRR18_L_1.0", - "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched 20 May 2005) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.", + "id": "gpmsimorbtwpice_1", + "title": "GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS TWP-ICE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-01-23", + "end_date": "2006-02-06", + "bbox": "125, -25, 140, -10", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979729803-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979729803-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHBoeXNpY3VtIGJ1aWxkaW5nIG1hc3QgbWV0ZW9yb2xvZ2ljYWwgZGF0YSBscHZleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1wbWFzdG1ldGxwdmV4XCIsXCIxXCIsMTk3OTY4NDUxMiwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gcGh5c2ljdW0gYnVpbGRpbmcgbWFzdCBtZXRlb3JvbG9naWNhbCBkYXRhIGxwdmV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXBtYXN0bWV0bHB2ZXhcIixcIjFcIiwxOTc5Njg0NTEyLDE1XSJ9/gpmsimorbtwpice_1", + "description": "The GPM Ground Validation Satellite Simulated Orbits TWP-ICE dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NCDC-L4LRblend-GLOB-AVHRR_AMSR_OI_1.0", - "title": "GHRSST Level 4 AVHRR_AMSR_OI Global Blended Sea Surface Temperature Analysis (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2002-06-01", - "end_date": "2011-10-05", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642150-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642150-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-NCDC-L4LRblend-GLOB-AVHRR_AMSR_OI_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) global Level 4 sea surface temperature analysis produced daily on a 0.25 degree grid at the NOAA National Climatic Data Center. This product uses optimal interpolation (OI) using data from the Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Version 5 time series (when available, otherwise operational NOAA AVHRR data are used), the Advanced Microwave Scanning Radiometer-EOS (AMSR-E), and in situ ship and buoy observations. A second similar product is available back to 1981 that includes only in situ and AVHRR Pathfinder data in its analysis. The OI analysis is a daily average SST that is bias adjusted using a spatially smoothed 7-day in situ SST average and is thus tuned to about 0.3 meter. Both day and night satellite fields are independently bias adjusted. More information is available at http://www.ncdc.noaa.gov/oa/climate/research/sst/oi-daily.php.", + "id": "gpmsmdukeiphx_1", + "title": "GPM Ground Validation Duke Soil Moisture IPHEx", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-02-27", + "end_date": "2014-10-17", + "bbox": "-83.5905, 35.3731, -81.1315, 36.5193", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979730515-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979730515-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGNvbmljYWwgc2Nhbm5pbmcgbWlsbGltZXRlci13YXZlIGltYWdpbmcgcmFkaW9tZXRlciAoY29zbWlyKSBnY3BleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1jb3NtaXJnY3BleFwiLFwiMVwiLDE5NzkxMzgwOTYsMTJdIn0%3D/gpmsmdukeiphx_1", + "description": "The GPM Ground Validation Duke Soil Moisture dataset consists of a collection of various data obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) which occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina from February 27, 2014 through October 17, 2014. The various instruments used included Theta Probes, Infrared Thermometers, 200-A Soil Core Samplers, a Global Positioning System (GPS), Soil Thermometers with Scanning L-band Active Passive (SLAP) flight concurrent survey data, and CS6161 Water Reflectometers. Data are available in a variety of formats based on instrument, including shapefiles, Excel files, Word document files, and ASCII formats. Browse images of site locations and data are available in JPG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR17_L_1", - "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite produced by NEODAAS (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-05-31", - "end_date": "2010-05-18", - "bbox": "-60, 24, 60, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643943-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643943-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR17_L_1", - "description": "A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.", + "id": "gpmsnowgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) SNOW SURVEYS GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-05", + "end_date": "2012-02-27", + "bbox": "-79.92, 44.18, -79.64, 44.68", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979731306-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979731306-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmsnowgcpex_1", + "description": "The GPM Ground Validation Environment Canada Snow Surveys GCPEx dataset was manually collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada, January 20, 2012 through February 27, 2012 across four sites (CARE, Steamshow, Huronia Airport, and Skydive-Jump). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Snow depth, water equivalent and density transects were surveyed weekly at each of the GCPEx sites in order to provide baseline information on the distribution of snow on the ground. Pairs of bulk density and snow water equivalent measurements were made every 25 m along the same transect using an ESC-30 (30 cm2 cross sectional area) snow corer. Snow depth measurements were made every 50 cm along a 100 m transect using a GPS equipped snow depth probe.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR18_L_1", - "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 satellite produced by NEODAAS (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-05-31", - "end_date": "2015-09-10", - "bbox": "-60, 24, 60, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641381-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641381-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR18_L_1", - "description": "A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-18 platform (launched on 20 May 2005). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.", + "id": "gpmsnowolyx_1", + "title": "GPM Ground Validation Snow Depth Monitoring System OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-09-05", + "end_date": "2016-07-26", + "bbox": "-123.707, 47.5008, -123.033, 47.8224", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979732987-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979732987-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmsnowolyx_1", + "description": "The GPM Ground Validation Snow Depth Monitoring System OLYMPEX dataset consists of snow depth, temperature, and relative humidity measurements which were collected using snow depth poles, time lapse cameras, temperature/relative humidity sensors, and manual snow surveys. This dataset was collected during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. The analyzed data files are available in netCDF-3 data format. The dataset includes the individual camera photos of snow poles taken hourly during the field campaign, provided as JPG images. There are up to 3 cameras/poles per study site location. In addition, a Microsoft Excel data file contains results of a manual snow survey taken on the specific days of the Airborne Snow Observatory OLYMPEX overflights. In total, measurements contained in this dataset extend from September 5, 2014 through August 20, 2016, but the primary field campaign data were collected during the fall 2015 to spring 2016 time period.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-NEODAAS-L2P-AVHRR19_L_1", - "title": "GHRSST Level 2P North Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 satellite produced by NEODAAS (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-09-07", - "end_date": "", - "bbox": "-60, -24, 60, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641821-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641821-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIG5vcnRoIGF0bGFudGljIHJlZ2lvbmFsIGJ1bGsgc2VhIHN1cmZhY2UgdGVtcGVyYXR1cmUgZnJvbSB0aGUgYWR2YW5jZWQgdmVyeSBoaWdoIHJlc29sdXRpb24gcmFkaW9tZXRlciAoYXZocnIpIG9uIHRoZSBub2FhLTE4IHNhdGVsbGl0ZSBwcm9kdWNlZCBieSBuZW9kYWFzIChnZHMgdmVyc2lvbiAxKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtTkVPREFBUy1MMlAtQVZIUlIxOF9MXCIsXCIxXCIsMjIxMzY0MTM4MSwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBub3J0aCBhdGxhbnRpYyByZWdpb25hbCBidWxrIHNlYSBzdXJmYWNlIHRlbXBlcmF0dXJlIGZyb20gdGhlIGFkdmFuY2VkIHZlcnkgaGlnaCByZXNvbHV0aW9uIHJhZGlvbWV0ZXIgKGF2aHJyKSBvbiB0aGUgbm9hYS0xOCBzYXRlbGxpdGUgcHJvZHVjZWQgYnkgbmVvZGFhcyAoZ2RzIHZlcnNpb24gMSlcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU5FT0RBQVMtTDJQLUFWSFJSMThfTFwiLFwiMVwiLDIyMTM2NDEzODEsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-NEODAAS-L2P-AVHRR19_L_1", - "description": "A Level 2P swath-based Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the North Atlantic area from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched on 6 Feb 2009). This particular dataset is produced by the Natural Environment Research Council (NERC) Earth Observation Data Acquisition and Analysis Service (NEODAAS) in collaboration with the National Centre for Ocean Forecasting (NCOF) in the United Kingdom. The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day or more (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. NEODAAS-Dundee acquires approximately 15 AVHRR direct broadcast High Resolution Picture Transmission (HRPT) passes per day over NW Europe and the Arctic. Each pass is approximately 15 minutes duration. These are immediately transferred to NEODAAS-Plymouth where they are processed into sea surface temperature (SST) products and converted to L2P specifications.", + "id": "gpmsogcpex_1", + "title": "GPM GROUND VALIDATION COMPOSITE SATELLITE OVERPASSES GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-17", + "end_date": "2012-02-29", + "bbox": "-88.7, 37.9, -70.9, 50.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979733201-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979733201-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmsogcpex_1", + "description": "The GPM Ground Validation Composite Satellite Overpasses GCPEx dataset provides satellite overpasses from the Special Sensor Microwave Imager/Sounder (SSMIS) satellites (F-16, 17, 18) during the GPM Cold-season Precipitation Experiment (GCPEx) which took place in Ontario, Canada, January 17, 2012 through February 29, 2012. The radiometric data was matched up with other datasets necessary to carry out land surface emissivity studies. These other datasets include the NEXRAD National Mosaic and Multi-Sensor QPE (NMQ) radar mosaic for knowledge of rain structure and intensity at the time of the overpass, as well as the previous accumulated precipitation prior to the satellite overpass time, the NOAA Interactive Multisensor Snow and Ice Mapping System (IMS) snow mapping system (to identify surface snow or ice cover), and the NASA/GMAO Modern-Era Retrospective Analysis for Research (MERRA) land and atmospheric reanalysis (for background land and atmospheric state needed for microwave radiative transfer calculations). The identified SSMIS satellite overpasses passed within 700-km of the central field site.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OISST_HR_NRT-GOS-L4-BLK_2.0", - "title": "Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2012-02-01", - "end_date": "", - "bbox": "26.375, 38.75, 42.375, 48.812", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642354-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642354-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OISST_HR_NRT-GOS-L4-BLK_2.0", - "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.", + "id": "gpmsomc3e_1", + "title": "GPM GROUND VALIDATION COMPOSITE SATELLITE OVERPASSES MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-22", + "end_date": "2011-06-05", + "bbox": "-115.49, 13.59, -72.65, 56.29", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979734889-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979734889-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmsomc3e_1", + "description": "The GPM Ground Validation Composite Satellite Overpasses MC3E dataset provides satellite overpasses from the AQUA satellite during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma April 22 - June 5, 2011. The radiometric data was matched up with other datasets necessary to carry out land surface emissivity studies. These other datasets include the NEXRAD National Mosaic and Multi-Sensor QPE (NMQ) radar mosaic for knowledge of rain structure and intensity at the time of the overpass, as well as the previous accumulated precipitation prior to the satellite overpass time, the NOAA Interactive Multisensor Snow and Ice Mapping System (IMS) snow mapping system (to identify surface snow or ice cover), and the NASA/GMAO Modern-Era Retrospective Analysis for Research (MERRA) land and atmospheric reanalysis (for background land and atmospheric state needed for microwave radiative transfer calculations). The AQUA satellite overpasses included in this dataset passed within 700-km of the central field site.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OISST_HR_NRT-GOS-L4-MED_2.0", - "title": "Mediterranean Sea High Resolution SST L4 Analysis 1/16deg Resolution (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2012-01-31", - "end_date": "", - "bbox": "-18.125, 30.25, 36.25, 46", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641823-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213641823-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-OISST_HR_NRT-GOS-L4-MED_2.0", - "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625deg. x 0.0625deg. horizontal resolution over the Mediterranean Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Mediterranean sea.", + "id": "gpmsondelpvex_1", + "title": "GPM Ground Validation Upper Air Radiosonde LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-15", + "end_date": "2011-01-28", + "bbox": "24.877, 58.8, 26.96, 61.01", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979814144-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979814144-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmsondelpvex_1", + "description": "The GPM Ground Validation Radiosonde LPVEx dataset consists of sounding data collected as part of the Global Precipitation Measurement (GPM) mission Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high altitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Vaisala RS92 radiosonde was used to produce vertical profiles of atmospheric temperature, pressure, humidity, and winds. The radiosondes were launched from two locations: Kumpula and Vantaa. The Upper Air Radiosonde LPVEx dataset consists of TSV data files and PNG browse image files.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OISST_UHR_NRT-GOS-L4-BLK_2.0", - "title": "Black Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2012-01-31", - "end_date": "", - "bbox": "26.375, 38.75, 42.375, 48.812", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642712-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642712-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OISST_UHR_NRT-GOS-L4-BLK_2.0", - "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.", + "id": "gpmsondeolyx_1", + "title": "GPM Ground Validation Upper Air Radiosonde OLYMPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2015-10-28", + "end_date": "2016-01-16", + "bbox": "-128.88, 43.5473, -120.439, 50.68", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979814484-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979814484-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmsondeolyx_1", + "description": "The GPM Ground Validation Upper Air Radiosonde OLYMPEX dataset was collected from October 28, 2015 through January 16, 2016 during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. Radiosondes were released from 5 locations: 3 in US - KSLE, KUIL, and NPOL site; and 2 in Canada - ECCC instrument site and CYZT. A total of 651 radiosondes were launched and collected during OLYMPEX from these sites. In addition, Level 4 dropsonde data were reprocessed to match the Level-4 data format and content of the radiosonde files and is also provided here. The dropsondes were released from the NASA DC-8 aircraft during specific flights in December 2015 and are published as the AVAPS dataset. This Upper Air Radiosonde dataset contains Level 0 through Level 4 data containing dew point temperature, pressure, air temperature, relative humidity, horizontal wind speed, vertical wind speed, wind direction, rise or drop rate, and geopotential height measurements. The data files are available in ASCII, ASCII-EOL, and netCDF-3 formats, as well as Skew-T and time series plots in PNG format. The lower level datasets (Level 0 raw data through Level 2 data) are only available upon request from the NASA GHRC DAAC. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OISST_UHR_NRT-GOS-L4-MED_2.0", - "title": "Mediterranean Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2012-01-31", - "end_date": "", - "bbox": "-18.125, 30.25, 36.25, 46", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644630-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644630-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IG5vYWEvc3RhciBnb2VzLTE3IGFiaSBsMnAgYW1lcmljYSByZWdpb24gc3N0IHYyLjcxIGRhdGFzZXQgKGdkcyB2ZXJzaW9uIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1BQklfRzE3LVNUQVItTDJQXCIsXCIyLjcxXCIsMjIxMzYzODA1MywxXSIsInVtbSI6IltcImdocnNzdCBub2FhL3N0YXIgZ29lcy0xNyBhYmkgbDJwIGFtZXJpY2EgcmVnaW9uIHNzdCB2Mi43MSBkYXRhc2V0IChnZHMgdmVyc2lvbiAyKVwiLFwiR0hSU1NUQ1dJQ1wiLFwiZ292Lm5vYWEubm9kYzpHSFJTU1QtQUJJX0cxNy1TVEFSLUwyUFwiLFwiMi43MVwiLDIyMTM2MzgwNTMsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-OISST_UHR_NRT-GOS-L4-MED_2.0", - "description": "CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01deg. horizontal resolution over the Mediterranean Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Mediterranean sea.", + "id": "gpmsslpvex_1", + "title": "GPM GROUND VALIDATION SPECIAL SENSOR MICROWAVE IMAGER/SOUNDER (SSMI/S) LPVEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-01", + "end_date": "2011-03-31", + "bbox": "-30.79, 27.89, 172.28, 89.56", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979814673-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979814673-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmsslpvex_1", + "description": "The GPM Ground Validation Special Sensor Microwave Imager/Sounder (SSMI/S) LPVEx dataset contains brightness temperature data processed from the NOAA CLASS QC temperature data records for the Light Precipitation Validation Experiment (LVPEX), part of the Global Precipitation Measurement project. The mission was to detect and characterize light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.Only data with swaths within the area of interest are included. The temporal range of the data includes the LPVEx campaign period (September 1, 2010) and extends through the end of March 31, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-GOES11_4.0", - "title": "GHRSST Level 2P Eastern Pacific Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-11 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-12-22", - "end_date": "2011-07-10", - "bbox": "-180, -45, -110, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642008-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642008-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-GOES11_4.0", - "description": "The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-11 launched 3 May 2000. The radiometer aboard the satellite, The GOES I-M Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-11 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5. The full disk image is subsetted into granules representing distinct northern and southern regions.", + "id": "gpmsurmetc3vp_1", + "title": "GPM Ground Validation Surface Meteorological Station C3VP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2005-11-01", + "end_date": "2007-03-31", + "bbox": "-79.87, 44.13, -79.67, 44.33", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2003136676-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2003136676-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmsurmetc3vp_1", + "description": "The GPM Ground Validation Environment Canada (EC) Surface Meteorological Station C3VP dataset consists of meteorological data collected at the Environment Canada (EC) climate station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV EC Surface Meteorological Station C3VP data include surface temperature and precipitation data available from November 1, 2005 through March 31, 2007 in Microsoft Excel format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-GOES12_4.0", - "title": "GHRSST Level 2P West Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-12 satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-12-22", - "end_date": "2010-06-17", - "bbox": "-135, -50, -30, 65", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642363-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642363-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-GOES12_4.0", - "description": "The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-12 launched 23 July 2001. The radiometer aboard the satellite, The GOES I-M Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-12 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5. The full disk image is subsetted into granules representing distinct northern and southern regions.", + "id": "gpmsurmetmc3e_1", + "title": "GPM GROUND VALIDATION NOAA SURFACE METEOROLOGICAL STATION MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-05", + "end_date": "2011-06-07", + "bbox": "-97.49, 36.61, -97.49, 36.61", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979815678-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979815678-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmsurmetmc3e_1", + "description": "The GPM Ground Validation NOAA Surface Meteorological Station MC3E dataset was collected at the NOAA Southern Great Plains Facility for the Midlatitude Continental Convective Clouds Experiment (MC3E) and includes measurements of wind speed, wind direction, temperature, humidity and precipitation. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The instruments gathering this data were respectively a propeller wind monitor located 10 meters above the ground, a temperature and humidity sensor at the ground, and a tipping rain gauge at the ground. These data were collected from April 5, 2011 to June 7, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-MSG02_4", - "title": "GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-2) satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-11-22", - "end_date": "", - "bbox": "-81, -73, 81, 73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642675-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642675-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-MSG02_4", - "description": "The Meteosat Second Generation (MSG) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels. Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by the US National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) is derived from the SEVIRI instrument on the second MSG satellite (also known as Meteosat-9) that was launched on 22 December 2005. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution every 15 minutes. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5.", + "id": "gpmtfmifld_1", + "title": "GPM Ground Validation Global Flood Monitoring System (GFMS) Flood Maps IFloodS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-03-26", + "end_date": "2013-06-30", + "bbox": "-179.875, -49.875, 179.875, 49.875", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979816569-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979816569-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmtfmifld_1", + "description": "The GPM Ground Validation Global Flood Monitoring System (GFMS) Flood Maps IFloodS dataset contains global flood estimates on a 0.25 degree spatial resolution every 3 hours, from March 26, 2013 through June 30, 2013. These data are provided in support of the Iowa Flood Studies (IFloodS) experiment conducted in eastern Iowa. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The data are available in netCDF-4 and ASCII formats. Flood map and rain graph files are available in KMZ, JPG, and GIF formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OSDPD-L2P-MTSAT1R_4", - "title": "GHRSST Level 2P Western Pacific Regional Skin Sea Surface Temperature from the Multifunctional Transport Satellite 1R (MTSAT-1R) (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2009-11-22", - "end_date": "2012-12-26", - "bbox": "60, -73, -143, 73", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642344-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642344-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-OSDPD-L2P-MTSAT1R_4", - "description": "Multi-functional Transport Satellites (MTSAT) are a series of geostationary weather satellites operated by the Japan Meteorological Agency (JMA). MTSAT carries an aeronautical mission to assist air navigation, plus a meteorological mission to provide imagery over the Asia-Pacific region for the hemisphere centered on 140 East. The meteorological mission includes an imager giving nominal hourly full Earth disk images in five spectral bands (one visible, four infrared). MTSAT are spin stabilised satellites. With this system images are built up by scanning with a mirror that is tilted in small successive steps from the north pole to south pole at a rate such that on each rotation of the satellite an adjacent strip of the Earth is scanned. It takes about 25 minutes to scan the full Earth's disk. This builds a picture 10,000 pixels for the visible images (1.25 km resolution) and 2,500 pixels (4 km resolution) for the infrared images. The MTSAT-1R (also known as Himawari 6) and its radiometer (MTSAT-1R Imager) was successfully launched on 26 February 2005. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the IR channels of the MTSAT-1R Imager full resolution data in satellite projection on a hourly basis. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 1.5.", + "id": "gpmtmpaifld_7", + "title": "GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IFloodS V7", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-01", + "end_date": "2013-06-30", + "bbox": "-179.875, -59.875, 179.875, 59.875", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979823036-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979823036-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmtmpaifld_7", + "description": "The GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IFloodS dataset is a subset of the TMPA 3B42RT gridded precipitation real-time product selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) held in Iowa during April 1, 2013 to June 30, 2013. The goals of IFloodS were to collect detailed measurements of precipitation at the Earth\u2019s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. TMPA is a calibration-based sequential scheme for combining microwave (MW) and infrared (IR) precipitation estimates from multiple satellites, as well as surface precipitation gauge analyses where feasible, to produce precipitation estimates at fine scales: 3-hourly, 0.25 degree maps. The TMPA IFloodS product is available in netCDF-4 and binary formats, as well as 3-hour rainfall browse images in JPG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-OSTIA-UKMO-L4-GLOB_2.0", - "title": "GHRSST Level 4 OSTIA Global Foundation Sea Surface Temperature Analysis (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2006-04-01", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644500-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644500-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-OSTIA-UKMO-L4-GLOB_2.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the UK Met Office using optimal interpolation (OI) on a global 0.054 degree grid. The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) analysis uses satellite data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Spinning Enhanced Visible and Infrared Imager (SEVIRI), the Geostationary Operational Environmental Satellite (GOES) imager, the Infrared Atmospheric Sounding Interferometer (IASI), the Tropical Rainfall Measuring Mission Microwave Imager (TMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmtmpaiphx_7", + "title": "GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IPHEx V7", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-16", + "bbox": "-180, -60, 180, 60", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979825245-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979825245-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmtmpaiphx_7", + "description": "This GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IPHEx dataset is a subset of the TMPA 3B42RT gridded precipitation product selected for the time period of the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina during May 1, 2014 to June 15, 2014. The goal of IPHEx was to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. This dataset contains 3-hourly, 0.25 degree maps of precipitation derived using microwave (MW), infra-red (IR), surface precipitation gauge measurements, and other rain products that include the TRMM Precipitation Radar (PR) data. The IPHEx TMPA product is available in netCDF-4 and binary formats.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-RAMSSA_09km-ABOM-L4-AUS_1.0", - "title": "GHRSST Level 4 RAMSSA_9km Australian Regional Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-04-01", - "end_date": "", - "bbox": "60, -70, -170, 20", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645869-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645869-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-RAMSSA_09km-ABOM-L4-AUS_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a regional 1/12 degree grid over the Australian region (20N - 70S, 60E - 170W). This Regional Australian Multi-Sensor SST Analysis (RAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers, with in situ data from ships, Argo floats, XBTs, CTDs, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the BoM Global Weekly 1 degree OI SST analysis, which relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.", + "id": "gpmtpshpgcpex_1", + "title": "GPM GROUND VALIDATION TOTAL PRECIPITATION SENSOR (HOTPLATE) GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-11-07", + "end_date": "2012-02-21", + "bbox": "-79.78, 44.2, -79.64, 44.3", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979827156-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979827156-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmtpshpgcpex_1", + "description": "The GPM Ground Validation Total Precipitation Sensor (HotPlate) GCPEx dataset provides a measure of the liquid precipitation rate and accumulation for snow. Additional data includes measurements of temperature, wind speed, relative humidity, pressure, and solar and infrared radiation flux. These data were gathered during the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE and SkyDive sites in Ontario, Canada during November 7, 2011 - February 21, 2012. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-REMO_OI_SST_5km-UFRJ-L4-SAMERICA_1.0", - "title": "GHRSST Level 4 REMO_OI_SST_5km Regional Foundation Sea Surface Temperature Analysis (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-02-21", - "end_date": "2016-10-12", - "bbox": "-70, -45, -15, 15", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642410-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213642410-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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.noaa.nodc%3AGHRSST-REMO_OI_SST_5km-UFRJ-L4-SAMERICA_1.0", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis by the Oceanographic Modeling and Observation Network (REMO) at Applied Meteorology Laboratory/Federal University of Rio de Janeiro (LMA/UFRJ) using the Barnes sub optimal interpolation (OI) technique on a regional 0.05 degree grid. REMO uses Advanced Very High Resolution Radiometer (AVHRR) data from National Oceanic and Atmospheric Administration (NOAA) satellites series (NOAA 15, NOAA 16, NOAA 17, NOAA 18 and NOAA 19) and Microwave Imager (TMI) data from Tropical Rainfall Measuring Mission (TRMM) which is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) to generate 0.05 degree daily cloud free blended (infrared and microwave) SST products (approximately 5.5 km). The data lies between latitudes 45 S and 15 N and longitudes 70 W and 15 W region and are fully validated by in situ measurements from eleven buoys of Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). AVHRR is a scanning radiometer capable of detecting energy from land, ocean and atmosphere. It operates with six spectral bands arranged in the regions of visible and infrared region. TRMM was launched in December, 1997, having an orbital inclination of 53 degree and altitude 350 km, an equatorial orbit that ranges from 40 N to 40 S and a spatial resolution of 0.25 degree (~27.75 km). Although infrared AVHRR SST data have high spatial resolution, they are contaminated by cloud cover and aerosols, while lower resolution microwave TMI data are barely influenced by these.", + "id": "gpmtrm2A25iphx_7", + "title": "GPM Ground Validation TRMM 2A25 NRT Precipitation Radar IPHEx V7", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-01", + "end_date": "2014-06-16", + "bbox": "-92.739, 25.8391, -70.8148, 36.2271", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979827468-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979827468-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHNlbGYtY2FsaWJyYXRpbmcgbXVsdGl2YXJpYXRlIHByZWNpcGl0YXRpb24gcmV0cmlldmFsIChzY2FtcHIpIGlwaGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbXNjYW1wcmlwaHhcIixcIjFcIiwxOTc5NzE3Mjk4LDE0XSIsInVtbSI6IltcImdwbSBncm91bmQgdmFsaWRhdGlvbiBzZWxmLWNhbGlicmF0aW5nIG11bHRpdmFyaWF0ZSBwcmVjaXBpdGF0aW9uIHJldHJpZXZhbCAoc2NhbXByKSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1zY2FtcHJpcGh4XCIsXCIxXCIsMTk3OTcxNzI5OCwxNF0ifQ%3D%3D/gpmtrm2A25iphx_7", + "description": "The GPM Ground Validation TRMM 2A25 NRT Precipitation Radar IPHEx data are estimates of instantaneous three-dimensional distribution of rain from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The TRMM 2A25 (NRT) orbital precipitation radar data from NASA GES DISC have been extracted for the southeast US region for May 1 to June 16, 2014 during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. This data product contains the average rainfall rate between two predefined altitudes derived from each radar beam position. Other output data include parameters of Z-R relationships (R=aZb), integrated rain rate of each beam, range bin numbers of rain layer boundaries, and many intermediate parameters. Data files are available in HDF-4 format, while corresponding browse images are also available in PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-AMSRE_4.0", - "title": "GHRSST Level 2P Gridded Global Subskin Sea Surface Temperature from the Advanced Scanning Microwave Radiometer - Earth Observing System (AMSR-E) on the NASA Aqua Satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2002-06-01", - "end_date": "2011-10-04", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643927-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213643927-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-REMSS-L2P_GRIDDED_25-AMSRE_4.0", - "description": "The Advanced Microwave Scanning Radiometer (AMSR-E) was launched on 4 May 2002, aboard NASA's Aqua spacecraft. The National Space Development Agency of Japan (NASDA) provided AMSR-E to NASA as an indispensable part of Aqua's global hydrology mission. Over the oceans, AMSR-E is measuring a number of important geophysical parameters, including sea-surface temperature (SST), wind speed, atmospheric water vapor, cloud water, and rain rate. A key feature of AMSR-E is its capability to see through clouds, thereby providing an uninterrupted view of global SST and surface wind fields. Remote Sensing Systems (RSS, or REMSS) is the provider of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. Although the product designation is \"L2P_GRIDDED\" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its \"L2P_GRIDDED\" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity. In this dataset, both ascending (daytime) and descending (daytime) gridded orbital passes on packaged into the same daily file.", + "id": "gpmuhfnoaamc3e_1", + "title": "GPM GROUND VALIDATION NOAA UHF 449 PROFILER MC3E", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-08", + "end_date": "2011-06-07", + "bbox": "-97.491, 36.599, -97.489, 36.601", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979827921-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979827921-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5leHJhZCBsZXZlbCBpaSBrZHZuIGlmbG9vZHNcIixcIkdIUkNfREFBQ1wiLFwiZ3Bta2R2bjJpZmxkXCIsXCIxXCIsMTk4MDg4NDkzMywxMl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmV4cmFkIGxldmVsIGlpIGtkdm4gaWZsb29kc1wiLFwiR0hSQ19EQUFDXCIsXCJncG1rZHZuMmlmbGRcIixcIjFcIiwxOTgwODg0OTMzLDEyXSJ9/gpmuhfnoaamc3e_1", + "description": "The GPM Ground Validation NOAA UHF 449 Profiler MC3E dataset was collected during the NASA supported Midlatitude Continental Convective Clouds Experiment (MC3E). The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Ultra High Frequency 449 MHz profiler was one of three NOAA deployed instruments which also included a Parsivel and a 2.8 GHz profiler (S-Band). The 449 MHz profiler raw data files provide estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. Used together with the S-band profiler, vertical profiles of raindrop size distributions can be retrieved. The raw 449MGx profiler data consists of uncalibrated Doppler velocity spectra data in units of relative power return.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-TMI_4.0", - "title": "GHRSST L2P Gridded Global Subskin Sea Surface Temperature from the Tropical Rainfall Mapping Mission (TRMM) Microwave Imager (TMI) (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "1998-01-01", - "end_date": "2015-04-06", - "bbox": "-180, -40, 180, 40", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645156-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645156-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-REMSS-L2P_GRIDDED_25-TMI_4.0", - "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to SSM/I, that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in November 1997. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. In contrast to infrared SST observations, microwave retrievals can be measured through most clouds, and are also insensitive to water vapor and aerosols. Remote Sensing Systems is the producer of these gridded TMI SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. Although the product designation is \"L2P_GRIDDED\" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its \"L2P_GRIDDED\" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity. In this dataset, both ascending (daytime) and descending (daytime) gridded orbital passes on packaged into the same daily file.", + "id": "gpmvanlpvex_1", + "title": "GPM Ground Validation C-band Vantaa (VAN) Radar LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-16", + "end_date": "2011-01-31", + "bbox": "24.896, 60.322, 24.916, 60.342", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995570271-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995570271-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGMtYmFuZCBrb3JwbyAoa29yKSByYWRhciBscHZleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1rb3JscHZleFwiLFwiMVwiLDE5OTU1Njk3MzgsMTRdIn0%3D/gpmvanlpvex_1", + "description": "The GPM Ground Validation C-Band Radar datasets include radar reflectivity data from the Vantaa (VAN) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Vantaa C-Band Radar data files are available in RAW and UF format, with browse imagery in PNG format from September 16, 2010 through January 31, 2011.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-WSAT_7.0", - "title": "GHRSST Level 2P Gridded Global Subskin Sea Surface Temperature from WindSat polarimetric radiometer on the Coriolis satellite (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2003-02-09", - "end_date": "2015-12-28", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644014-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644014-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-REMSS-L2P_GRIDDED_25-WSAT_7.0", - "description": "This dataset contains sea surface temperature derived from observations made by the WindSat Polarimetric Radiometer developed by the Naval Research Laboratory (NRL) and launched on 6 January 2003 aboard the Department of Defense Coriolis satellite. This radiometer is well-calibrated and contains the lower frequency channels required for SST retrievals. The radiometer operates in 5 discrete bands: 6.8, 10.7, 18.7, 23.8 and 37.0 GHz. The 10.7, 18.7 and 37.0 GHz bands are fully polarimetric whereas the 6.8 and 23.8 GHz bands have only dual polarization. The feedhorns of each frequency band trace out different arcs along the bench, therefore the Earth Incidence Angles (EIA) are different for each frequency band. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat dataset is the only one available that uses both the fore and aft look directions which results in a wider swath and more complicated swath geometry visible in the provided maps. RSS produces these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. In the data processing chain, a first stage produces a near-real-time (NRT) dataset (identified with a \"rt\" within the file name) which is made as available as soon as possible. A later second stage produces a final dataset (identified by \"v7\" within the file name) that contains more data than the NRT version. In this dataset, both ascending (evening time) and descending (morning time) gridded orbital passes are packaged into the same daily file.Although the product designation is \"L2P_GRIDDED\" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its \"L2P_GRIDDED\" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity.", + "id": "gpmvertixgcpex_1", + "title": "GPM GROUND VALIDATION MCGILL VERTICAL POINTING X-BAND (VERTIX) RADAR GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-02-29", + "bbox": "-79.7906, 44.2232, -79.7706, 44.2432", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979830182-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979830182-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmvertixgcpex_1", + "description": "The GPM Ground Validation McGill Vertical Pointing X-Band (VertiX) Radar GCPEx dataset consists of radar reflectivity and Doppler velocity data collected by the Vertically Pointing X-band (VertiX) radar during the Global Precipitation Measurement (GPM) mission Cold-season Precipitation Experiment (GCPEx) field campaign in Ontario, Canada during the 2011-2012 winter season. VertiX can detect all precipitation targets and some ice clouds, as well as measure the Doppler velocity of precipitation targets. These measurements contributed to the overarching goal of GCPEx to collect various snowfall data for the improvement of GPM satellite winter precipitation estimates. These data files are available from January 15 through February 29, 2012 in netCDF-3 format with browse imagery available in GIF format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-SEVIRI_IO_SST-OSISAF-L3C_1.0", - "title": "GHRSST Level 3C Indian-Ocean (IO) sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG1 produced by OSISAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2018-10-02", - "end_date": "", - "bbox": "-15, -60, -135, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644792-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644792-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-SEVIRI_IO_SST-OSISAF-L3C_1.0", - "description": "This dataset is produced by the Ocean and Sea Ice Satellite Application Facility (OSI SAF) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) instrument onboard the Meteosat Second Generation (MSG-1), Meteosat-8 satellite (launched on 28 August 2002). The dataset covers the Indian Ocean region with latitude of 60S-60N and longitude of 135W-15W. Level-3C SST, in the NetCDF format recommended by Group for High Resolution Sea Surface Temperature (GHRSST), is identical to Level-2P GHRSST products, 3 refers to gridded products and C to the fact that hourly products result from compositing 15 minutes (MSG) or 30 minutes (GOES-E) data. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), OSI SAF is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating all 15-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmvisecc3vp_1", + "title": "GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P C3VP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-10-04", + "end_date": "2007-03-31", + "bbox": "-79.791, 44.222, -79.772, 44.242", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871445-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871445-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmvisecc3vp_1", + "description": "The GPM Ground Validation (GV) Environment Canada (EC) Visibility Sensor FD12P C3VP dataset consists of visibility and precipitation data collected at the Environment Canada Canadian Climate station at the Centre for Atmospheric Research Experiments (CARE) site during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV Visibility Sensor FD12P C3VP data are available from October 4, 2006 through March 31, 2007 in a Microsoft Excel comma-separated variable spreadsheet. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-SEVIRI_SST-OSISAF-L3C_1", - "title": "GHRSST Level 3C Atlantic sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG at 0 degree longitude produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2015-06-29", - "end_date": "", - "bbox": "-60, -60, 60, 60", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645162-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645162-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-SEVIRI_SST-OSISAF-L3C_1", - "description": "A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Eastern Atlantic Region from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-3) satellites (launched 5 July 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 60W-60E) SST fields obtained by aggregating all 15 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmvisecgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) VISIBILITY SENSOR FD12P AND PRESENT WEATHER DETECTOR GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-01", + "bbox": "-79.93, 44.49, -79.73, 44.69", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979830481-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979830481-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmvisecgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P and Present Weather Detector GCPEx dataset contains data collected from January 15 through March 1, 2012 in Huronia, Canada for the GPM Cold-season Precipitation Experiment (GCPEx). This dataset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The FD12P combines the functions of a forward scatter visibility meter and a present weather detector. It also measures the intensity and the amount of both liquid and solid precipitation.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-TMI-REMSS-L2P_4.0", - "title": "GHRSST Level 2P Global Subskin Sea Surface Temperature from TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measurement Mission (TRMM) satellite (GDS versions 1 and 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "1998-01-01", - "end_date": "2015-01-11", - "bbox": "-179.99, -39.06, 180, 39.01", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644635-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644635-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIGdsb2JhbCBzZWEgc3VyZmFjZSBza2luIHRlbXBlcmF0dXJlIGZyb20gdGhlIG1vZGVyYXRlIHJlc29sdXRpb24gaW1hZ2luZyBzcGVjdHJvcmFkaW9tZXRlciAobW9kaXMpIG9uIHRoZSBuYXNhIGFxdWEgc2F0ZWxsaXRlIChnZHMgdmVyc2lvbnMgMSBhbmQgMilcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU1PRElTX0EtSlBMLUwyUFwiLFwiMjAxOS4wXCIsMjIxMzY0MjYyMCwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBnbG9iYWwgc2VhIHN1cmZhY2Ugc2tpbiB0ZW1wZXJhdHVyZSBmcm9tIHRoZSBtb2RlcmF0ZSByZXNvbHV0aW9uIGltYWdpbmcgc3BlY3Ryb3JhZGlvbWV0ZXIgKG1vZGlzKSBvbiB0aGUgbmFzYSBhcXVhIHNhdGVsbGl0ZSAoZ2RzIHZlcnNpb25zIDEgYW5kIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1NT0RJU19BLUpQTC1MMlBcIixcIjIwMTkuMFwiLDIyMTM2NDI2MjAsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-TMI-REMSS-L2P_4.0", - "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems has produced a Version-4 TMI ocean SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in \"AMSR Ocean Algorithm.\"", + "id": "gpmvn_1", + "title": "GPM Ground Validation Validation Network (VN) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-03-09", + "end_date": "2021-07-31", + "bbox": "-169.499, -31.818, 169.948, 65.634", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995579435-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995579435-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmvn_1", + "description": "The GPM Ground Validation Validation Network (VN) dataset contains reflectivity, hydrometeor identification, rain rate, correlation coefficient, and quality control variables and estimates. This data product was created using the Validation Network (VN), which performs a direct match-up of the Global Precipitation Mission (GPM)\u2019s space-based Dual-frequency Precipitation Radar (DPR) and Microwave Imager (GMI) data with ground radar data from NOAA Weather Surveillance Radar-1988 Doppler (WSR-88D) radars. These data are available from March 9, 2014 through July 31, 2021 in netCDF-3 format, though it should be noted that this dataset will be updated periodically. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-TMI-REMSS-L3U_7.1a", - "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature from TMI onboard TRMM satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2014-05-13", - "end_date": "2015-01-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645270-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645270-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-TMI-REMSS-L3U_7.1a", - "description": "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, sea surface temperature (SST) and surface wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial processing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems (REMSS) has produced a Version-7.1a TMI SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in \"AMSR Ocean Algorithm.\"", + "id": "gpmwacrc3vp_1", + "title": "GPM Ground Validation NASA W-band Aircraft Cloud Radar (WACR) C3VP", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-10-30", + "end_date": "2007-03-02", + "bbox": "-79.7829, 44.2306, -79.7828, 44.2308", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871494-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871494-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIG5hc2EgZXItMiBuYXZpZ2F0aW9uIGRhdGEgbWMzZVwiLFwiR0hSQ19EQUFDXCIsXCJncG1lcjJuYXZtYzNlXCIsXCIxXCIsMTk3OTE0MDg1MCwxM10iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gbmFzYSBlci0yIG5hdmlnYXRpb24gZGF0YSBtYzNlXCIsXCJHSFJDX0RBQUNcIixcImdwbWVyMm5hdm1jM2VcIixcIjFcIiwxOTc5MTQwODUwLDEzXSJ9/gpmwacrc3vp_1", + "description": "The GPM Ground Validation NASA W-band Airborne Cloud Radar (WACR) C3VP dataset consists of calibrated co- and cross-polarized radar reflectivity at 94 GHz during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The WACR is used for cloud sensing and microphysics. During C3VP, the WACR was deployed as a surface-based, zenith-pointing instrument in the Cloud Radar Trailer at the Centre for Atmospheric Research Experiments (CARE) facility in Ontario, Canada. The data include radar reflectivities in zenith-pointing orientation at the CARE facility. The dataset files are available in netCDF format from October 30, 2006 through March 2, 2007.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-UPA-L2P-ATS_NR_2P_1.5", - "title": "GHRSST Level 2P Global Skin Sea Surface Temperature from the Advanced Along Track Scanning Radiometer (AATSR) on the ESA Envisat satellite produced by UPA (GDS version 1)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2008-05-27", - "end_date": "2012-04-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645469-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213645469-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-UPA-L2P-ATS_NR_2P_1.5", - "description": "Launched in March 2002 by the European Space Agency (ESA), Envisat is the largest Earth Observation spacecraft ever built. It carries ten sophisticated optical and radar instruments to provide continuous observation and monitoring of the Earth's land, atmosphere, oceans and ice caps. The Advanced Along-Track Scanning Radiometer (AATSR) onboard the Envisat spacecraft is designed to meet the challenging task of monitoring and detecting the climate change signal of sea surface temperature (SST). It builds on the success of its predecessor instruments on the European Remote-Sensing Satellite (ERS)-1, and ERS-2 satellites, and will lead to a multi-decade record of precise and accurate global SST measurements, thereby making a valuable contribution to the long-term climate record. The exceptionally high radiometric accuracy and stability of AATSR data are achieved through a number of unique features. A comprehensive pre-launch calibration programme, combined with continuous in-flight calibration, ensures that the data are continually corrected for sensor drift and degradation. A \"dual-view\" algorithm offering improved atmospheric correction by applying two different atmospheric path lengths is used to derive the SSTskin observations. The accuracies achieved with this configuration are further enhanced by using low-noise infrared detectors, cooled to their optimum operating temperature by a pair of Stirling-cycle coolers. With its high-accuracy, high-quality imagery and channels in the visible, near-infrared and thermal wavelengths, AATSR data will support many applications in addition to oceanographic and climate research, including a wide range of land-surface, cryosphere and atmospheric studies. See Llewellyn-Jones et al (2001) ESA bulletin 105, Feb 2001 for a full description. These AATSR L2P SST data are produced as part of the Group for High Resolution Sea Surface Temperature (GHRSST) Project according to the GHRSST-PP Data Processing Specification (GDS) version 1.5. This particular GHRSST AATSR dataset is produced by the UK Processing and Archiving (UPA) Centre Regional Data Assembly Facility (RDAC) for ESA since mid-2008. From the perspective of data format and quality it is identical to the L2P AATSR Medspiration (EUR) RDAC dataset produced earlier in the GHRSST Project.", + "id": "gpmwbandgcpex_1", + "title": "GPM GROUND VALIDATION MCGILL W-BAND RADAR GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-02-01", + "end_date": "2012-02-29", + "bbox": "-79.781, 44.2328, -79.7802, 44.2336", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831134-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831134-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGxpZ2h0bmluZyBpbnN0cnVtZW50IHBhY2thZ2UgKGxpcCkgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtbGlwaXBoeFwiLFwiMVwiLDE5OTU1NzAxMDEsMTRdIn0%3D/gpmwbandgcpex_1", + "description": "The GPM Ground Validation McGill W-Band Radar GCPEx dataset was collected from February 1, 2012 to February 29, 2012 at the CARE site in Ontario, Canada as a part of the GPM Cold-season Precipitation Experiment (GCPEx). This datset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The W-Band radar is a single antenna, 94-GHz pulsed Doppler, vertical pointing radar system. Data products from the W-Band radar include radar reflectivity, Doppler moments, and Doppler spectra of variable lengths. The W-Band radar is primarily used to research various cloud properties. The GPM Ground Validation McGill W-Band Radar GCPEx dataset is available in netCDF format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-VIIRS_NPP-JPL-L2P_2016.2", - "title": "GHRSST Level 2P Global Sea Surface Skin Temperature from the Visible and Infrared Imager/Radiometer Suite (VIIRS) on the Suomi-NPP satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2017-07-19", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644846-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644846-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=eyJqc29uIjoiW1wiZ2hyc3N0IGxldmVsIDJwIGdsb2JhbCBzZWEgc3VyZmFjZSBza2luIHRlbXBlcmF0dXJlIGZyb20gdGhlIG1vZGVyYXRlIHJlc29sdXRpb24gaW1hZ2luZyBzcGVjdHJvcmFkaW9tZXRlciAobW9kaXMpIG9uIHRoZSBuYXNhIGFxdWEgc2F0ZWxsaXRlIChnZHMgdmVyc2lvbnMgMSBhbmQgMilcIixcIkdIUlNTVENXSUNcIixcImdvdi5ub2FhLm5vZGM6R0hSU1NULU1PRElTX0EtSlBMLUwyUFwiLFwiMjAxOS4wXCIsMjIxMzY0MjYyMCwxXSIsInVtbSI6IltcImdocnNzdCBsZXZlbCAycCBnbG9iYWwgc2VhIHN1cmZhY2Ugc2tpbiB0ZW1wZXJhdHVyZSBmcm9tIHRoZSBtb2RlcmF0ZSByZXNvbHV0aW9uIGltYWdpbmcgc3BlY3Ryb3JhZGlvbWV0ZXIgKG1vZGlzKSBvbiB0aGUgbmFzYSBhcXVhIHNhdGVsbGl0ZSAoZ2RzIHZlcnNpb25zIDEgYW5kIDIpXCIsXCJHSFJTU1RDV0lDXCIsXCJnb3Yubm9hYS5ub2RjOkdIUlNTVC1NT0RJU19BLUpQTC1MMlBcIixcIjIwMTkuMFwiLDIyMTM2NDI2MjAsMV0ifQ%3D%3D/gov.noaa.nodc%3AGHRSST-VIIRS_NPP-JPL-L2P_2016.2", - "description": "These files contain NASA produced skin sea surface temperature (SST) products from the Infrared (IR) channels of the Visible and Infrared Imager/Radiometer Suite (VIIRS) onboard the Suomi-NPP satellite. VIIRS is a multi-disciplinary instrument that is also being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, of which NOAA-20 is the first. JPSS is a multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). Suomi-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data. VIIRS has 22 spectral bands ranging from 412 nm to 12 micron. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375 m), and one day-night band (DNB). VIIRS uses on-board pixel aggregation to reduce the growth in size of pixels away from nadir. Two SST products are contained in these files. The first is a skin SST produced separately for day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST products from heritage and current NASA sensors. At night, a second triple channel SST product is generated using the 3.7 , 11 and 12 micron IR channels, identified as SST_triple. Due to the sun glint in the 3.7 micron SST_triple can only be used at night. VIIRS L2P SST data have a 750 spatial resolution at nadir and are stored in ~288 five minute granules per day. Full global coverage is obtained each day. The production of VIIRS NASA L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS were responsible for sea surface temperature algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of VIIRS ocean products. JPL acquires VIIRS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. In mid-August, 2018, the RSMAS involvement in the VIIRS SST project ceased, and the subsequent fields are not maintained. The R2016.2 supersedes the previous v2016.0 datasets.", + "id": "gpmwbandiphx_1", + "title": "GPM GROUND VALIDATION ACHIEVE W-BAND CLOUD RADAR IPHEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-05-09", + "end_date": "2014-06-14", + "bbox": "-83.0947, 35.5198, -83.0947, 35.5198", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831259-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831259-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ29lcy1yIHBsdCBjbG91ZCByYWRhciBzeXN0ZW0gKGNycylcIixcIkdIUkNfREFBQ1wiLFwiZ29lc3JwbHRjcnNcIixcIjFcIiwxOTk1NTY4OTc2LDE4XSIsInVtbSI6IltcImdvZXMtciBwbHQgY2xvdWQgcmFkYXIgc3lzdGVtIChjcnMpXCIsXCJHSFJDX0RBQUNcIixcImdvZXNycGx0Y3JzXCIsXCIxXCIsMTk5NTU2ODk3NiwxOF0ifQ%3D%3D/gpmwbandiphx_1", + "description": "The GPM Ground Validation ACHIEVE W-band Cloud Radar IPHEx dataset consists of cloud and light precipitation radar observations gathered during the Global Precipitation Measurement (GPM) mission Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) Intensive Observing Period (IOP) in North Carolina from May 1 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The dataset includes data from the ProSensing 95 GHz W-band cloud radar, which is part of the NASA Goddard Space Flight Center (GSFC) Aerosol, Cloud, Humidity, Interactions Exploring and Validating Enterprise (ACHIEVE) ground-based mobile laboratory. The W-band cloud radar is a scanning 95 GHz dual-polarization (horizontal transmission and co- and cross-polar receiving) Doppler radar used for observing liquid and ice clouds and light precipitation. The instrument measures co- and cross-polar reflectivity, radial velocity, Doppler spectrum width, and signal-to-noise ratio. Linear depolarization ratio was derived from the measured parameters. During the IPHEx campaign, the W-Band radar was used exclusively in vertical-pointing mode. The dataset files are available from May 9 through June 14, 2014 in netCDF-3 data format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-VIIRS_NPP-NAVO-L2P_3.0", - "title": "GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2013-06-28", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644303-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644303-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections/gov.noaa.nodc%3AGHRSST-VIIRS_NPP-NAVO-L2P_3.0", - "description": "A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth. The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS, AVHRR and SeaWiFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades. It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications.", + "id": "gpmwcrlpvex_2", + "title": "GPM GROUND VALIDATION WYOMING CLOUD RADAR (WCR) LPVEX V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-16", + "end_date": "2010-10-20", + "bbox": "19.8372, 59.631, 26.5131, 61.5401", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831481-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831481-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmwcrlpvex_2", + "description": "The GPM Ground Validation Wyoming Cloud Radar (WCR) LPVEx V2 dataset includes reflectivity and Doppler velocity measurements obtained by the Wyoming Cloud Radar (WCR) flown on board the University of Wyoming King Air (UWKA) aircraft, as well as aircraft navigation parameters. These data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The dataset was collected to aid in achieving the overarching goals of LPVEx, to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms and to detect and understand the process of light rainfall formation at high latitudes. Data files are available in netCDF-3 format from September 16 through October 20, 2010 along with browse imagery in PDF and PNG format.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-VIIRS_SST_NPP_NAR-OSISAF-L3C_1", - "title": "GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS produced by OSI SAF (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2014-11-04", - "end_date": "2020-11-19", - "bbox": "-76.02, 13.59, 72.97, 78.24", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644305-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644305-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D%3D/gov.noaa.nodc%3AGHRSST-VIIRS_SST_NPP_NAR-OSISAF-L3C_1", - "description": "A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the North Atlantic Region (NAR) based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2.", + "id": "gpmwebecgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) WEB CAMERA IMAGES GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-01", + "bbox": "-79.93, 44.18, -79.64, 44.69", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983018567-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983018567-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmwebecgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Web Camera Images GCPEx were taken at 5 site locations in Ontario, Canada during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred January 15 through March 1, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Mounted as a fixed outdoor camera, the AXIS P1343-E network camera had day/night functionality with an automatically controlled IR filter, adapting to both daylight and dark lighting conditions. These images provided visual records throughout the day of the weather conditions at each site.", "license": "proprietary" }, { - "id": "gov.noaa.nodc:GHRSST-WindSat-REMSS-L3U_7.0.1a", - "title": "GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite (GDS version 2)", - "catalog": "GHRSSTCWIC STAC Catalog", - "state_date": "2017-07-30", - "end_date": "2020-10-19", - "bbox": "-179.99, -39.06, 180, 39.01", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644790-GHRSSTCWIC.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2213644790-GHRSSTCWIC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/GHRSSTCWIC/collections?cursor=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%3D/gov.noaa.nodc%3AGHRSST-WindSat-REMSS-L3U_7.0.1a", - "description": "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by \"rt\" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. \"Final\" data (currently identified by \"v7.0.1a\" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final \"v7.0.1a\" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter \"a\" refers to the file in compliance with GHRSST format.", + "id": "gpmwkacmlpvex_1", + "title": "GPM GROUND VALIDATION WYOMING KING AIR CLOUD MICROPHYSICS LPVEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-11", + "end_date": "2010-10-20", + "bbox": "19.8372, 59.6884, 26.5131, 61.5401", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831801-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979831801-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmwkacmlpvex_1", + "description": "The GPM Ground Validation Wyoming King Air Cloud Microphysics LPVEx dataset includes, in addition to aircraft parameters, many scientific parameters, such as static pressure, dew point temperature, relative humidity, mixing ratio, liquid water content, and droplet concentration. These data were collected as part of the Light Precipitation Evaluation Experiment (LPVEx) from September 11, 2010 to October 20, 2010 in the Gulf of Finland. The dataset was collected to aid in achieving the overarching goals of LPVEx, to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms and to detect and understand the process of light rainfall formation at high latitudes. It should be noted that multiple instruments were carried aboard the University of Wyoming King Air (UWKA) including the Cloud Microphysics instrument and the Wyoming Cloud Radar (WCR) instrument. Data files are in netCDF-3 format. ", "license": "proprietary" }, { - "id": "gov.noaa.nodc:HIMB-CRAMP_Not Applicable", - "title": "Benthic data, fish surveys and still images from Hawaii Coral Reef Assessment and Monitoring Program (CRAMP) starting 1999-01-05 to present", - "catalog": "NOAA_NCEI STAC Catalog", - "state_date": "1999-01-05", - "end_date": "2015-08-05", - "bbox": "-178.369427, 19.0425, -154.81, 28.427823", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2089392293-NOAA_NCEI.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2089392293-NOAA_NCEI.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NOAA_NCEI/collections?cursor=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%3D/gov.noaa.nodc%3AHIMB-CRAMP_Not%20Applicable", - "description": "This collection consists of Hawaii Coral Reef Assessment and Monitoring Program (CRAMP) surveys and include quantitative estimates of substrate type, rugosity, species type, and percent coverage. Digital still images from transects are also included. The data sets consist of image files (JPEG) of digital still photographs and spreadsheets (XLS with exported redundant CSV copies). CRAMP was created during 1997-98 by leading coral reef researchers, managers and educators in Hawaii. The initial task was to develop a statewide network consisting of over 30 long-term coral reef monitoring sites and an associated database. Upon completion of the monitoring network the focus was expanded to include rapid quantitative assessments and habitat mapping on a statewide spatial scale. Today the emphasis is on using these tools to understand the ecology of Hawaiian coral reefs in relation to other geographic areas. CRAMP study sites, including all areas of concern designated by the State of Hawaii Division of Aquatic Resources (DAR), were selected from throughout the State of Hawaii based on information provided by a wide spectrum of managers, scientists, and educators. These sites represent a full range of reef habitats subjected to various degrees of anthropogenic influences ranging from severely impacted to relatively pristine sites held in conservation status. The West Hawaii Aquarium Project has augmented CRAMP with surveys of fish at CRAMP sites on the west side of the Island of Hawaii. The purpose is to understand the ecology of Hawaiian coral reefs in relation to other geographic areas and to monitor change at each given site. The CRAMP experimental design allows detection of changes that can be attributed to various factors such as: overuse (over-fishing, anchor damage, aquarium trade collection, etc.), sedimentation, nutrient loading, catastrophic natural events (storm wave impact, lava flows), coastal construction, urbanization, global warming (bleaching), introduced species, algal invasions, and fish and invertebrate diseases.", + "id": "gpmwpecgcpex_1", + "title": "GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) WIND PROFILER GCPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-01-15", + "end_date": "2012-03-01", + "bbox": "-79.8, 44.1, -79.6, 44.3", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979832749-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979832749-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmwpecgcpex_1", + "description": "The GPM Ground Validation Environment Canada (EC) Wind Profiler GCPEx dataset provides post-processed consensus winds and daily quick look plots from the Vaisala Wind Profiler LAP 3000. The daily plots depict wind information, such as wind speed and wind direction, from the profiler and from the Global Environmental Multiscale (GEM) model data. The LAP 3000 is a pulsed Doppler radar that operates in clean air. The Wind profiler data was collected January 15, 2012 through March 1, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE site in Ontario, Canada. This dataset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow.", "license": "proprietary" }, { - "id": "gpcc_precip_monthly_xdeg_995_1", - "title": "ISLSCP II Global Precipitation Climatology Centre (GPCC) Monthly Precipitation", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1986-01-01", - "end_date": "1995-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784898435-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784898435-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/gpcc_precip_monthly_xdeg_995_1", - "description": "The Global Precipitation Climatology Centre (GPCC), which is operated by the Deutscher Wetterdienst (National Meteorological Service of Germany), is a component of the Global Precipitation Climatology Project (GPCP) with the main emphasis on the treatment of the global in-situ observations. The GPCC simultaneously contributes to the Global Climate Observing System (GCOS) and other international research and climate monitoring projects. This rain gauge-only data set was acquired from GPCC and resampled to 0.5 degree grid boxes for use in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II. The GPCC collects precipitation data which are locally observed at rain gauge stations and distributed as CLIMAT and SYNOP reports via the Global Telecommunication System of the World Weather Watch (GTS) of the World Meteorological Organization (WMO). The Centre acquires additional monthly precipitation data from meteorological and hydrological networks which are operated by national services. ", + "id": "gpmwrflpvex_1", + "title": "GPM Ground Validation Weather Research and Forecasting (WRF) Model LPVEx V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-20", + "end_date": "2010-10-20", + "bbox": "20.806, 58.264, 28.314, 61.88", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979833249-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979833249-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmwrflpvex_1", + "description": "The GPM Ground Validation Weather Research and Forecasting (WRF) Images LPVEx includes model data simulated by the Weather Research and Forecasting (WRF) model for the GPM Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The WRF model provided simulations of the precipitation events that were observed during the campaign. The LPVEx WRF dataset files are available from September 20 through October 20, 2010 in netCDF-3 format.", "license": "proprietary" }, { - "id": "gpcp_precip_monthly_xdeg_1003_1", - "title": "ISLSCP II Global Precipitation Climatology Project Version 2, Monthly Precipitation", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1986-01-01", - "end_date": "1995-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2785267282-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2785267282-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/gpcp_precip_monthly_xdeg_1003_1", - "description": "The Global Precipitation Climatology Project (GPCP) Version 2 data set includes global, monthly precipitation rates and associated random errors (RMSE), and a monthly precipitation climatology derived as an average from all GPCP data sets from January 1979 to December 1999. The data are derived from measured gauge data and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set: the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data sets and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set: the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.", + "id": "gpmwrfmc3e_1", + "title": "GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-04-19", + "end_date": "2011-06-06", + "bbox": "-115, 25, -80, 45", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979735447-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979735447-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gpmwrfmc3e_1", + "description": "The GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E dataset consists of browse only images showing radar reflectivity, radar echo top, convective available potential energy (CAPE), temperature, geopotential height, wind speed, relative humidity, rain water, snow, cloud water, cloud ice, and graupel. These data were simulated by the Weather Research and Forecasting (WRF) for the period of the GPM Ground Validation Mid-\u00adlatitude Continental Convective Cloud Experiment (MC3E) field campaign. The overarching goal of the MC3E field campaign was to provide the most complete characterization of convective cloud systems, precipitation, and the environment ever obtained and to provide new constraints for model cumulus parameterizations and space-\u00adbased rainfall retrieval algorithms over land. Browse imagery files in PNG and GIF formats are available for April 19, 2011 through June 6, 2011.", "license": "proprietary" }, { - "id": "gpcp_precip_pentad_xdeg_1002_1", - "title": "ISLSCP II Global Precipitation Climatology Project Version 1, Pentad Precipitation", - "catalog": "ORNL_CLOUD STAC Catalog", - "state_date": "1986-01-01", - "end_date": "1995-12-31", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784899581-ORNL_CLOUD.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784899581-ORNL_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wiaXNsc2NwIGlpIGZhc2lyLWFkanVzdGVkIG5kdmksIDE5ODItMTk5OFwiLFwiT1JOTF9DTE9VRFwiLFwiZmFzaXJfbmR2aV9tb250aGx5X3hkZWdfOTcyXCIsXCIxXCIsMjc4NDg5MzE3NywyXSIsInVtbSI6IltcImlzbHNjcCBpaSBmYXNpci1hZGp1c3RlZCBuZHZpLCAxOTgyLTE5OThcIixcIk9STkxfQ0xPVURcIixcImZhc2lyX25kdmlfbW9udGhseV94ZGVnXzk3MlwiLFwiMVwiLDI3ODQ4OTMxNzcsMl0ifQ%3D%3D/gpcp_precip_pentad_xdeg_1002_1", - "description": "The Global Precipitation Climatology Project (GPCP) pentad version 1 precipitation data set includes global precipitation rates for 5-day, or pentad, periods. The data sets are derived from measured rain gauge data and merged with satellite estimates of rainfall. This is a portion of the version 1 GPCP pentad data set and covers the ISLSCP II period from 1986 to 1995. The original precipitation rates at 2.5 degrees were re-gridded to a 1 degree spatial resolution by the ISLSCP II staff. ", + "id": "gpmxetc3vp_1", + "title": "GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-10-04", + "end_date": "2007-03-31", + "bbox": "-79.79, 44.22, -79.77, 44.24", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1998274501-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1998274501-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGR1a2Ugc29pbCBtb2lzdHVyZSBpcGhleFwiLFwiR0hSQ19EQUFDXCIsXCJncG1zbWR1a2VpcGh4XCIsXCIxXCIsMTk3OTczMDUxNSwxNV0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gZHVrZSBzb2lsIG1vaXN0dXJlIGlwaGV4XCIsXCJHSFJDX0RBQUNcIixcImdwbXNtZHVrZWlwaHhcIixcIjFcIiwxOTc5NzMwNTE1LDE1XSJ9/gpmxetc3vp_1", + "description": "The GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP dataset consists of surface meteorological data collected at the Environment Canada (EC) XET station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The XET C3VP dataset file includes temperature, pressure, wind speed and direction, relative humidity, solar radiation, grass temperature, soil temperature, snow depth, sunshine, and precipitation measurements from October 4, 2006 through March 31, 2007 in ASCII-csv format.", + "license": "proprietary" + }, + { + "id": "gpmxpolifld_1", + "title": "GPM GROUND VALIDATION IOWA X-BAND POLARIMETRIC MOBILE DOPPLER WEATHER RADARS IFLOODS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-04-30", + "end_date": "2013-06-16", + "bbox": "-92.3511, 41.5293, -90.9114, 43.5375", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983632696-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983632696-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIiwidW1tIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIGdvZXMgMTMgdmlzaWJsZSBhbmQgaW5mcmFyZWQgaW1hZ2VzIGdjcGV4IHYxXCIsXCJHSFJDX0RBQUNcIixcImdwbWdvZXMxM2djcGV4QlwiLFwiMVwiLDE5ODE1NzQ3MzksMTJdIn0%3D/gpmxpolifld_1", + "description": "The GPM Ground Validation Iowa X-band Polarimetric Mobile Doppler Weather Radars IFloodS dataset was gathered during the IFloodS campaign from April to June 2013 throughout central and northeastern Iowa. The Iowa Flood Studies (IFloodS) was a ground measurement campaign that took place throughout Iowa from May 1 to June 15, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Four X-band Polarimetric (XPOL) Mobile Doppler Weather Radars were used to collected high-resolution observations of precipitation. The data consists of reflectivity, Doppler velocity, spectrum width, differential reflectivity, differential phase, copolar correlation coefficient, and sound-to-noise ratios. These data are available in netCDF, and browse image files are available in .png format.", "license": "proprietary" }, { @@ -182026,16 +158483,315 @@ "license": "proprietary" }, { - "id": "grinstedSBB-ECM-VIDEO_Not provided", - "title": "2km long Surface Conductivity Profile and video recording, Scharffenbergbotnen", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1970-01-01", - "end_date": "", - "bbox": "-11.042684, -74.57969, 11.11278, -74.566", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586809-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214586809-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiMjAxMDA0X2ltbmF2YWl0X2ZpZWxkXCIsXCJTQ0lPUFNcIixcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYwMDQ1MCw0XSIsInVtbSI6IltcIjIwMTAwNF9pbW5hdmFpdF9maWVsZFwiLFwiU0NJT1BTXCIsXCIyMDEwMDRfaW1uYXZhaXRfZmllbGRcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MDA0NTAsNF0ifQ%3D%3D/grinstedSBB-ECM-VIDEO_Not%20provided", - "description": "Location: Scharffenbergbotnen blue ice area, Heimefrontfjella Electrical Conductivity profile of the surface blue ice (stretching ~2.5km from near the ice fall). At the same time a video recording of the surface ice was made. Positions of the records can be tied together with DGPS.", + "id": "gripapr2_1", + "title": "GRIP AIRBORNE SECOND GENERATION PRECIPITATION RADAR (APR-2) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-17", + "end_date": "2010-09-22", + "bbox": "-97.9192, 11.9008, -56.0457, 34.847", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979833483-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979833483-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gripapr2_1", + "description": "The GRIP Airborne Second Generation Precipitation Radar (APR-2) dataset was collected from the Second Generation Airborne Precipitation Radar (APR-2), which is a dual-frequency (13 GHz and 35 GHz), Doppler, dual-polarization radar system. It has a downward looking antenna that performs cross track scans. Additional features include: simultaneous dual-frequency, matched beam operation at 13.4 and 35.6 GHz (same as GPM Dual-Frequency Precipitation Radar), simultaneous measurement of both like- and cross-polarized signals at both frequencies, Doppler operation, and real-time pulse compression (calibrated reflectivity data can be produced for large areas in the field during flight, if necessary). The APR-2 flew on the NASA DC-8 for the Genesis and Rapid Intensification Processes (GRIP) experiment and collected data between Aug 17, 2010 - Sep 22, 2010 and are in HDF-4 format. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.", + "license": "proprietary" + }, + { + "id": "gripcaps_1", + "title": "GRIP CLOUD MICROPHYSICS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-13", + "end_date": "2010-09-25", + "bbox": "-100, 0, -71.5, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979834641-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979834641-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripcaps_1", + "description": "The GRIP Cloud Microphysics dataset was collected during the GRIP campaign from three probes: the Cloud, Aerosol, and Precipitation Spectrometer (CAPS), the Precipitation Imaging Probe (PIP), and the Cloud Droplet Probe (CDP). All are manufactured by Droplet Measurement Technologies in Boulder, CO. The CAPS is a combination of two probes, the Cloud Imaging Probe-Greyscale (CIP-G), and the Cloud and Aerosol Spectrometer (CAS). Images of particles are recorded by the CIP-G and PIP, while the CAS probe measures particle size distribution from 0.55 to 52.5 microns and the CDP measures ice amount. Some ice/liquid water content are derived from the particle size distribution. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. Data was collected 13 Aug 2010 through 25 Sep 2010.", + "license": "proprietary" + }, + { + "id": "gripdawn_1", + "title": "GRIP DOPPLER AEROSOL WIND LIDAR (DAWN) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-24", + "end_date": "2010-09-22", + "bbox": "-97.8173, 11.9999, -55.3185, 34.752", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979834812-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979834812-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripdawn_1", + "description": "The GRIP Doppler Aerosol WiNd Lidar (DAWN) Dataset was collected by the Doppler Aerosol WiNd (DAWN), a pulsed lidar, which operated aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). Data values include Line-of-Sight (LOS) Winds, calculated vertical profiles of horizontal wind velocity, frequency-domain signal energy and time versus latitude and longitude. Instrument details can be found in the dataset documentation. Data was gathered during August 24, 2010 thru September 22, 2010 over the Atlantic Ocean.", + "license": "proprietary" + }, + { + "id": "gripdropdc83_3", + "title": "GRIP DC-8 DROPSONDE V3", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-17", + "end_date": "2010-09-22", + "bbox": "-96.7127, 12.0041, -55.3201, 34.7358", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979835081-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979835081-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripdropdc83_3", + "description": "The GRIP DC-8 Dropsonde V3 dataset consists of atmospheric pressure, dry-bulb temperature, dew point temperature, relative humidity, wind direction, wind speed, and fall rate measurements taken during 16 research flights during the Genesis and Rapid Intensification Processes (GRIP) campaign from August 17, 2010 to September 22, 2010. The GRIP campaign was conducted to better understand how tropical storms form and how these storms develop into major hurricanes. The DC-8 Airborne Vertical Atmospheric Profiling System (AVAPS) deploys integrated, highly accurate, GPS-located atmospheric profiling dropsondes to measure and record current atmospheric conditions in a vertical column below the aircraft. The dropsondes are ejected from a tube in the underside of the DC-8 aircraft. As the dropsonde descends to the surface via a parachute, it continuously measures and transmits data to the aircraft using a 400 MHz meteorological band telemetry link. Pressure, temperature and relative humidity, as well as GPS-based wind data were collected from 328 dropsondes. These Dropsonde data are in ASCII-csv file format.", + "license": "proprietary" + }, + { + "id": "gripflt_1", + "title": "GRIP FLIGHT TRACKS AND ANIMATIONS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-13", + "end_date": "2010-09-25", + "bbox": "-100, 0, -71.5, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979836293-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979836293-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripflt_1", + "description": "The GRIP Flight Tracks and Animations dataset includes both KML files and animation files. The KML files use Google Earth to show the flight tracks on a map. The animations vary by type. Created by the Real-time Mission Monitor (RTMM) software, the .avi files show the flight track versus time superimposed over the GOES Infrared (IR) data from August 13, 2010 to September 25, 2010. The National SubOrbital Education and Research Center provided a file in two formats (.mov, .mp4) viewing hurricane Earl from the NASA DC-8 aircraft. Also a NBC newscast informs the public of the GRIP's goals during the campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk).", + "license": "proprietary" + }, + { + "id": "gripghis_1", + "title": "GRIP NOAA GLOBAL HAWK IN-FLIGHT TURBULENCE SENSOR (GHIS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-15", + "end_date": "2010-09-24", + "bbox": "-124.4, 12.0902, -71.4565, 37.068", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979836585-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979836585-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/gripghis_1", + "description": "The GRIP NOAA Global Hawk In-Flight Turbulence Sensor (GHIS) dataset was collected by the NOAA Global Hawk In-flight Turbulence Sensor (GHIS) instrument, which measures acceleration at the location of the instrument. Two accelerometers (2g and 5g full scale) are used on each of two measurement axes. The GHIS accelerometers are from the Model 1221 family manufactured by Silicon Designs, Inc. with a frequency response of 400-600Hz. The data system samples each sensor output at 1000 Hz and processes these data to produce mean, maximum, and root-mean square (RMS) values at 10 Hz. The processed data are then broadcast on the Global Hawk internet and brought to the ground via Status and User User Datagram Protocol (UDP) packets. GHIS operated on the Global Hawk for the Genesis and Rapid Intensification Processes (GRIP) experiment and collected data between Aug 15, 2010 - Sep 23, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk).", + "license": "proprietary" + }, + { + "id": "gripgoes11B_1", + "title": "GRIP GOES 11 VISIBLE AND INFRARED IMAGES V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-15", + "end_date": "2010-10-01", + "bbox": "-100, 0, 0, 45", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979836735-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979836735-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripgoes11B_1", + "description": "The GRIP GOES 11 Visible and Infrared Images dataset was produced and archived in near real-time at the Global Hydrology Resource Center throughout the Genesis and Rapid Intensification Processes (GRIP) campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The GOES I-M Imager is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the Earth. These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-11 images are available for all dates between August 15 and September 30, 2010 at 15 minute intervals throughout this time period.", + "license": "proprietary" + }, + { + "id": "gripgoes13B_1", + "title": "GRIP GOES 13 VISIBLE AND INFRARED IMAGES V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-15", + "end_date": "2010-09-30", + "bbox": "-129, 0, 0, 49", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983100289-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983100289-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripgoes13B_1", + "description": "The GRIP GOES 13 Visible and Infrared Images dataset was produced and archived in near real time at the Global Hydrology Resource Center throughout the Genesis and Rapid Intensification Processes (GRIP) campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The GOES I-M Imager is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the Earth. These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between August 15 and September 30, 2010 at 15 minute intervals throughout this time period.", + "license": "proprietary" + }, + { + "id": "gripgoesot_1", + "title": "GRIP GOES 13 OVERSHOOTING TOP V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-07", + "end_date": "2010-10-01", + "bbox": "-118.039, 1.2498, -37.9341, 43.9066", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979847172-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979847172-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripgoesot_1", + "description": "The GRIP GOES 13 Overshooting Top dataset was produced during the GRIP Field Experiment for use with the Real Time Mission Monitor (RTMM) tool. The major goal was to better understand how tropical storms form and develop into major hurricanes. The magnitude of each overshooting top is the difference between the 'anvil' temperature and the 'overshooting top' temperature. These magnitudess are represented as a color coded display using Google Earth, a virtual globe, map and geographical information program.", + "license": "proprietary" + }, + { + "id": "griphamsr_1", + "title": "GRIP HIGH-ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-28", + "end_date": "2010-09-24", + "bbox": "-125.227, 11.37, -70.69, 36.647", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979852766-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979852766-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griphamsr_1", + "description": "The GRIP High-Altitude MMIC Sounding Radiometer (HAMSR) dataset was collectd by the High Altitude monolithic microwave integrated Circuit (MMIC) Sounding Radiometer (HAMSR) is a microwave atmospheric sounder developed by JPL under the NASA Instrument Incubator Program. The new HAMSR with 183GHz LNA receiver reduces noise to less than a 0.1K level improving observations of small-scale water vapor. HAMSR has 25 spectral channels which are split into 3 bands: an 8-channel band centered 53-GHz, used to infer the 3-D distribution of temperature; a 10-channel band centered at 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered at 183 GHz, used to measure water vapor (humidity) and cloud liquid water content in the atmosphere. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the life cycle of hurricanes.", + "license": "proprietary" + }, + { + "id": "griphirad1_1", + "title": "GRIP HURRICANE IMAGING RADIOMETER (HIRAD) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-01", + "end_date": "2010-09-16", + "bbox": "-95.5915, 18.2751, -71.0313, 30.1404", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979853044-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979853044-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griphirad1_1", + "description": "The GRIP Hurricane Imaging Radiometer (HIRAD) V1 dataset contains measurements of brightness temperature taken at 4, 5, 6 and 6.6 GHz, as well as MERRA 2 m wind speed data and JPL MUR Sea Surface Temperature data. The data is provided in netCDF format. The data were collected during the Genesis and Rapid Intensification Processes (GRIP) experiment from September 1, 2010 through September 16, 2010 for storms EARL and KARL. Rain rate and wind speed files may be obtained from the V0 HIRAD dataset. The major goal was to better understandhow tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned AirborneSystem (UAS), configuredwith a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.HIRAD is a hurricane imaging, single-polarization passive C-band radiometer with both cross-track and along-track resolution that measures strong ocean surface winds through heavy rain from an aircraft or space-based platform. Its swath width is approximately 60 degrees in either direction.", + "license": "proprietary" + }, + { + "id": "griphirad_0", + "title": "GRIP HURRICANE IMAGING RADIOMETER (HIRAD) V0", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-01", + "end_date": "2010-09-16", + "bbox": "-95.2, 18.5, -71.5, 28.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979852887-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979852887-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griphirad_0", + "description": "The GRIP Hurricane Imaging Radiometer (HIRAD) dataset was collected by the HIRAD instrument, which is a hurricane imaging, single-polarization passive C-band radiometer with both cross-track and along-track resolution that measures strong ocean surface winds through heavy rain from an aircraft or space-based platform. Its swath width is approximately 60 degrees in either direction. V0 data contains brightness temperature measurements taken at a 5 GHz frequency. Rain rate and wind speed files for Hurricane Earl have been added to the collection. HIRAD data was collected for storms Earl and Karl during the Genesis and Rapid Intensification Processes (GRIP) experiment from September 1, 2010 through September 16, 2010. The major goal was to better understandhow tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned AirborneSystem (UAS), configuredwith a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.", + "license": "proprietary" + }, + { + "id": "griphiwrap_1", + "title": "GRIP HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-09-16", + "end_date": "2010-09-24", + "bbox": "-96.0111, 12.0907, -77.1902, 26.4101", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979853297-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979853297-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griphiwrap_1", + "description": "The GRIP High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) dataset was collected by the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ka- and Ku-band) conical scan system, configured with a nadir viewing antenna on the Global Hawk aircraft. The HIWRAP instrument provides calibrated reflectivity and unfolded Doppler velocity. These dual-frequency radar measurements have frequencies similar to that of the GPM. These data are from the Genesis and Rapid Intensification Processes (GRIP) experiment from September 16, 2010 through September 24, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. HIWRAP flew on the Global Hawk aircraft mainly over the Gulf of Mexico.", + "license": "proprietary" + }, + { + "id": "griplarge_1", + "title": "GRIP LANGLEY AEROSOL RESEARCH GROUP EXPERIMENT (LARGE) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-24", + "end_date": "2010-09-22", + "bbox": "-97.83, 12, -55.3183, 34.7517", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855136-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855136-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griplarge_1", + "description": "The GRIP Langley Aerosol Research Group Experiment (LARGE) dataset was collected by the Langley Aerosol Research Group Experiment (LARGE), which measures ultrafine aerosol number density, total and non-volatile aerosol number density, dry aerosol size distribution, total and submicron aerosol absorption coefficients, total and submicron aerosol scattering coefficients, and total scattering and hemispheric backscattering coefficients. Instruments used during LARGE derived aerosol size statistics (mode, number and mass mean diameters, etc.), aerosol surface area and mass loading, aerosol extinction, single scattering albedo, and angstrom coefficients. This dataset was collected during the Genesis and Rapid Intensification Processes (GRIP) experiment, which a NASA Earth science field experiment. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. The GRIP LARGE dataset collected data over the Gulf of Mexico from August 6, 2010 to September 22, 2010.", + "license": "proprietary" + }, + { + "id": "griplase_1", + "title": "GRIP LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-13", + "end_date": "2010-09-25", + "bbox": "-117.083, 12, -55.3183, 34.7533", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855347-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855347-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griplase_1", + "description": "The GRIP Lidar Atmospheric Sensing Experiment (LASE) dataset was collected by NASA's Lidar Atmospheric Sensing Experiment (LASE) system, which is an airborne Differential Absorption Lidar (DIAL) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE is onboard the NASA DC-8 aircraft and probes the atmosphere using lasers to transmit light in the 815-nm absorption band of water vapor. Pulses of laser light are fired vertically below the aircraft. A small fraction of the transmitted laser light is reflected from the atmosphere back to the aircraft and collected with a telescope receiver. The received light indicates the amount of water vapor along the path of the laser beam. LASE operated in the Genesis and Rapid Intensification Processes (GRIP) experiment with data spanning between August 13, 2010 through September 25, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.", + "license": "proprietary" + }, + { + "id": "griplip_1", + "title": "GRIP LIGHTNING INSTRUMENT PACKAGE (LIP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-28", + "end_date": "2010-09-24", + "bbox": "-124.4, 12.09, -71.457, 35.997", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855527-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855527-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/griplip_1", + "description": "The GRIP Lightning Instrument Package (LIP) dataset was collected by the Lightning Instrument Package (LIP), which consists of 6 rotating vane type electric field mill sensors along with a central computer to record and monitor the instruments. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). During the GRIP campaign the LIP instrument package flew aboard the Global Hawk aircraft. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.", + "license": "proprietary" + }, + { + "id": "gripmisrep_1", + "title": "GRIP CAMPAIGN REPORTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-07-28", + "end_date": "2010-09-30", + "bbox": "-100, 0, -71.5, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855677-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979855677-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripmisrep_1", + "description": "The GRIP Campaign Reports dataset consists of various reports filed by scientists during the GRIP campaign which took place 8/15/2010 - 9/30/2010; however, several of the reports are from the planning and test flights. Reports included in this dataset contain information for the Tri Agency Mission Scientists; DC-8, Global Hawk, and WB-57 Platform Scientists; DC-8, Global Hawk, and WB-57 Flight Reports and WB-57 Flight Summary; GRIP Telecons; and TropicalGRIP Forecasts. The Tri Agency Mission Scientists reports, GRIP telecons and Forecast reports were primarily filed daily, while the Platform and Flight reports exist primarily for flight days.", + "license": "proprietary" + }, + { + "id": "gripmms_1", + "title": "GRIP DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-10", + "end_date": "2010-09-25", + "bbox": "-118.433, 11.991, -55.322, 34.754", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979856245-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979856245-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripmms_1", + "description": "The GRIP DC-8 Meteorological measurement System (MMS) dataset was collected by the Meteorological Measurement System (MMS), which provides high-resolution, accurate meteorological parameters (pressure, temperature, turbulence index, and the 3-dimensional wind vector). The MMS hardware consists of 3 major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. In addition to making the in flight measurements, a major and necessary step is the post mission systematic calibration and data processing. The primary data set consists of 1 Hz meteorological data (P, T, 3D winds). The secondary data set at 20 Hz includes the meteorological data and additional parameters such as Potential-Temperature; True-Air-Speed; aircraft GPS position, velocities, attitudes, acceleration and air flow data (angle-of-attack, sideslip) from August 10, 2010 through September 25, 2010. The Genesis and Rapid Intensification Processes (GRIP) experiment was a NASA Earth science field experiment. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.", + "license": "proprietary" + }, + { + "id": "gripmsg_1", + "title": "GRIP METEOSAT SECOND GENERATION (MSG) IMAGE DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-15", + "end_date": "2010-09-30", + "bbox": "-70, -70, 70, 70", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983148163-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983148163-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripmsg_1", + "description": "The GRIP Meteosat Second Generation (MSG) Image Data was collected during the Genesis and Rapid Intensification Processes (GRIP) experiment from August 15, 2010 to September 30, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. Infrared and visible radiances, and water vapor were measured. Meteosat Second Generation (MSG) consists of a series of four geostationary meteorological satellites, along with ground-based infrastructure, that will operate consecutively until 2020. The MSG system is established under cooperation between The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and the European Space Agency (ESA) to ensure the continuity of meteorological observations from geostationary orbit. The MSG satellites carry an impressive pair of instruments, the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels and provide image data which is core to operational forecasting needs, and the Geostationary Earth Radiation Budget (GERB) instrument supporting climate studies.", + "license": "proprietary" + }, + { + "id": "gripnavdc8_1", + "title": "GRIP DC-8 NAVIGATION AND HOUSEKEEPING DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-10", + "end_date": "2010-09-22", + "bbox": "-118.43, 11.9998, -55.3183, 34.7533", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979856855-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979856855-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripnavdc8_1", + "description": "The GRIP DC-8 Navigation and Housekeeping Data contains aircraft navigational data obtained during the GRIP campaign (15 Aug 2010 - 30 Sep 2010). The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA DC-8 is outfitted with a navigational recording system which in combination with the Research Environment for Vehicle-Embedded Analysis on Linux (REVEAL) provides detailed flight parameters such as airspeed, altitude, roll/pitch/yaw angles, ground speed, flight level wind speed, temperature and many others. The REVEAL system is a configurable embedded system for facilitating integration of instrument payloads with vehicle systems and communication links. REVEAL systems currently serve as onboard data acquisition, processing, and recording systems.", + "license": "proprietary" + }, + { + "id": "gripnavgh_1", + "title": "GRIP GLOBAL HAWK NAVIGATION AND HOUSEKEEPING DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-15", + "end_date": "2010-09-24", + "bbox": "-124.4, 12.0902, -71.4565, 37.068", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979859823-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979859823-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripnavgh_1", + "description": "The GRIP Global Hawk Navigation and Housekeeping data was collected from August 15, 2010 to September 24, 2010 during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The Global Hawk is an unmanned Airborne System configured with in situ and remote sensing instruments, including the Lightning Imaging Package (LIP), High Altitude Wind and Rain Profiler (HIWRAP), and High Altitude MMIC Sounding Radiometer (HAMSR). Data was collected for 7 dates and is in the IWGADTS IWG1 format. The dataset also includes XML files containing metadata documenting the parameters and their format collected during each day's flight.", + "license": "proprietary" + }, + { + "id": "gripnavwb57_1", + "title": "GRIP WB-57 NAVIGATION AND HOUSEKEEPING DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-27", + "end_date": "2010-09-17", + "bbox": "-96.3391, 17.2358, -71.5164, 30.6829", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979859991-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979859991-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/gripnavwb57_1", + "description": "The GRIP WB-57 Navigation and Housekeeping data was collected on flight days occuring between July 13 , 2010 to September 17, 2010 during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA WB-57 is a weather research aircraft capable of operating for extended periods of time (~6.5 hours) from sea level to altitudes well over 60,000 feet (12 miles high). Both data in IWG1 format and error logs are part of this dataset.", + "license": "proprietary" + }, + { + "id": "gripradio_1", + "title": "GRIP BARBADOS/CAPE VERDE RADIOSONDE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-14", + "end_date": "2010-09-24", + "bbox": "-59.6251, 13.1, -24.8671, 16.8644", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979860117-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979860117-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3BtIGdyb3VuZCB2YWxpZGF0aW9uIHVuY2EgdXBwZXIgYWlyIHJhZGlvc29uZGUgaXBoZXggdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3BtcmFkaW9pcGh4XCIsXCIxXCIsMTk3OTY5NDAzMSwxNl0iLCJ1bW0iOiJbXCJncG0gZ3JvdW5kIHZhbGlkYXRpb24gdW5jYSB1cHBlciBhaXIgcmFkaW9zb25kZSBpcGhleCB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncG1yYWRpb2lwaHhcIixcIjFcIiwxOTc5Njk0MDMxLDE2XSJ9/gripradio_1", + "description": "The GRIP Barbados/Cape Verde radiosonde data set consists of generally two soundings per day (06Z and 12Z) launched from Barbados, and one sounding per day (12Z) launched from Cape Verde during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. These radiosondes measure the profile of atmospheric pressure, temperature, humidity, wind speed and direction, from the ground to an altitude of up to 40 km (in general, the sondes reached at least a pressure of 100 milibars). The launch program began on August 14, 2010 and ended September 24, 2010. The sondes used were type DFM-06, built by GRAW Radiosondes, Nuremberg Germany. Most ascents were done with TOTEX 200-g latex balloons using the DMF-06 sondes. A few launches were made using TOTEX 800-g Balloons with the DFM-97 package (connected with ECC ozonesonde). On some days launch times were changed, and multiple launches were made from Barbados on September 9, 10 and 21. The data were retrieved using a GRAWMET GS-E ground station. The sample rate of the data was 4 seconds for the Barbados data and 2 seconds for the Cape Verde data.", + "license": "proprietary" + }, + { + "id": "gripstorm_1", + "title": "GRIP Hurricane and Tropical Storm Forecasts V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2010-08-12", + "end_date": "2010-11-14", + "bbox": "-178.5, 0.8, 0, 87.6", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979860341-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979860341-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBiYXJiYWRvcy9jYXBlIHZlcmRlIHJhZGlvc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwiZ3JpcHJhZGlvXCIsXCIxXCIsMTk3OTg2MDExNywxM10iLCJ1bW0iOiJbXCJncmlwIGJhcmJhZG9zL2NhcGUgdmVyZGUgcmFkaW9zb25kZSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwcmFkaW9cIixcIjFcIiwxOTc5ODYwMTE3LDEzXSJ9/gripstorm_1", + "description": "The GRIP Hurricane and Tropical Storm Forecasts dataset consists of tropical cyclone model forecast tracks archived during the NASA Genesis and Rapid Intensification Processes (GRIP) field campaign. GRIP was one of three hurricane field campaigns conducted during the 2010 Atlantic/Pacific hurricane season. This tri-agency effort included NASA GRIP, the NSF Pre-Depression Investigation of Cloud-systems in the Tropics (PREDICT) and the NOAA Intensity Forecasting Experiment 2010 (IFEX10). The hurricane and tropical storm forecasts data files are available from August 12 through November 14, 2010 in ASCII text format with browse files in KML format, viewable in Google Earth. The ASCII text files contain 5-day model \u201cconsensus\u201d forecasts and the KML browse files contain model forecasts ranging from 5-days to 10-days.", "license": "proprietary" }, { @@ -182532,6 +159288,58 @@ "description": "Lebensraumkarte der Schweiz/La carte des milieux naturels de Suisse The FOEN funded project \u2018Developing a Habitat Map of Switzerland\u2019 conducted at the WSL, has produced a map of Swiss habitats according to the TypoCH classification (Delarze et al. 2015) wall-to-wall across the whole of Switzerland, to at least the classification\u2019s 2nd level of detail (where possible to the 3rd level of detail). The implementation of the Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Habitats are mapped through a variety of approaches that can be grouped as either: 1: Derived from the existing Swiss-wide high quality landcover mapping from Swisstopo\u2019s Topographical Landscape Model (TLM), 2: Modelled within the project using Random Forest or Ensemble Modelling techniques to model the spatial distribution of individual habitat types, 3: Combining existing species distribution models to determine habitat types, or 4: Classification with relatively simple rule-sets based on auxiliary spatial datasets, i.e. vegetation height models, the digital terrain model, the normalised difference vegetation index (NDVI) derived from aerial imagery and/or time-series of growing season Sentinel-2 satellite imagery. Further detail on the methodology can be found within the README document.", "license": "proprietary" }, + { + "id": "hamsrcpex_1", + "title": "High Altitude MMIC Sounding Radiometer (HAMSR) CPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-24", + "end_date": "2017-07-16", + "bbox": "-99.95, 5.05, -45.05, 39.95", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2624567100-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2624567100-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hamsrcpex_1", + "description": "The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. Data are available from May 24, 2017 through July 16, 2017 in netCDF-3 format.", + "license": "proprietary" + }, + { + "id": "hamsrcpexaw_1", + "title": "High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-AW V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2021-08-17", + "end_date": "2021-09-04", + "bbox": "-118.078, 11.768, -45.122, 34.613", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2257989308-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2257989308-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hamsrcpexaw_1", + "description": "The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-AW dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment \u2013 Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available from August 17, 2021 through September 4, 2021 in netCDF-3 format, with associated browse files in PNG format.", + "license": "proprietary" + }, + { + "id": "hamsrcpexcv_1", + "title": "High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-CV", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2022-09-06", + "end_date": "2022-09-30", + "bbox": "-40.6360016, 1.848, 3.9360001, 79.5830002", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704126285-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704126285-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hamsrcpexcv_1", + "description": "The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-CV dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment \u2013 Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX \u2013 Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. Data are available from September 6-30, 2022 in netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "hamsrepoch_1", + "title": "High Altitude MMIC Sounding Radiometer (HAMSR) EPOCH V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-08-09", + "end_date": "2017-08-31", + "bbox": "-125.321, 16.116, -83.077, 36.473", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204630442-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204630442-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hamsrepoch_1", + "description": "The High Altitude MMIC Sounding Radiometer (HAMSR) EPOCH dataset includes measurements gathered by the HAMSR instrument during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3 dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available from August 9, 2017 through August 31, 2017 in netCDF-3 format.", + "license": "proprietary" + }, { "id": "handheld_haze_708_1", "title": "SAFARI 2000 Atmospheric Aerosol Measurements, Hand-held Hazemeters, Zambia", @@ -182961,6 +159769,32 @@ "description": "Naturally, large parts of the Swiss Plateau are characterised by wetlands and meandering rivers. That this is no longer the case today is the result of centuries of efforts to obtain dry land. But how did this process take place? What were the relevant actors and what were their motivations? And what can be said about the ecological consequences of this development? In a research project on the history of wetlands in Switzerland since 1700, we conducted (a) a historical analysis of the development of land use in wetlands and the actors involved, (b) a historical-cartographic reconstruction of wetland extent since 1850 and (c) an evaluation of ecological effects of changes in wetlands on various organisms groups. The series of GIS layers on wetland history stem from the second part of the project. The area reconstruction is based on digitized and homogenized signatures from national map series, as they have been available since about 1850. Details about the digitalization process and the homogenization procedures applied (\"Rekonstruktionen\") are included in Stuber & B\u00fcrgi 2019. __Book Citation:__ > Stuber M, B\u00fcrgi M (2019) Vom \u00aberoberten Land\u00bb zum Renaturierungsprojekt. Geschichte der Feuchtgebiete in der Schweiz seit 1700. \"Bristol Schriftenreihe\", Band 59. Haupt Verlag, Bern, Stuttgart, Wien. 262 Seiten.", "license": "proprietary" }, + { + "id": "hiwat_1", + "title": "High-Impact Weather Assessment Toolkit (HIWAT)", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-04-02", + "end_date": "", + "bbox": "60.562, 10.632, 111.438, 45.951", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756158683-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756158683-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hiwat_1", + "description": "The High Impact Weather Assessment Toolkit (HIWAT) uses a mesoscale numerical weather prediction model and the Global Precipitation Measurement (GPM) constellation of satellites. The toolkit includes a suite of ensemble model forecasts to constrain uncertainties and provide a probabilistic forecast for improved decision-making. The toolkit provides outlooks for lightning strikes, high-impact winds, high rainfall rates, hail damage, and other weather events. The toolkit provides a 54-hour probabilistic forecast over Nepal and Bangladesh along with parts of northeast India (i.e., the Hindu Kush Himalayan region). HIWAT will also support threat assessments, such as thunderstorm intensity, using GPM and impact assessments using Landsat/MODIS land imagery to identify damage scars. The dataset files are available from April 2, 2017, through October 2, 2022, in netCDF-3 format.", + "license": "proprietary" + }, + { + "id": "hiwrapimpacts_1", + "title": "High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-25", + "end_date": "2023-02-28", + "bbox": "-95.46, 31.073, -64.894, 48.658", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871767-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995871767-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hiwrapimpacts_1", + "description": "The High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IMPACTS dataset consists of Equivalent reflectivity factor, Doppler velocity, Doppler velocity spectrum width, Linear Depolarization Ratio (LDR), Ocean normalized radar cross-section, Co-polarization signal-to-noise mask estimates collected by the HIWRAP onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. These data are available from January 25, 2020, through February 28, 2023, in HDF-5 format.", + "license": "proprietary" + }, { "id": "holme_bay_1_10000_gibbney_1", "title": "Holme Bay 1:10000 Gibbney Island Mapping", @@ -183065,6 +159899,201 @@ "description": "We used five different atmospheric turbulence datasets from four test sites, with these sites showing differences in their topographical characteristics. We chose one typical alpine test site with high topographical complexity (Weissfluhjoch, Davos, Switzerland) and three test sites consisting of one glacier site (Plaine Morte, Crans-Montana, Switzerland) and two polar sites (Greenland and Antarctica) representing a quasi-ideal site with homogeneous surface and quasi infinite fetch in all directions. The turbulent sensible heat flux was calculated using the eddy-covariance method. Note that the sonic temperature fluctuations have been converted into virtual temperature fluctuations. Three-dimensional wind velocity and air temperature were processed using a linear detrending (Rannik and Vesala, 1999) and a planar fit approach (Massmann and Lee, 2002) to rotate the coordinate system. Air temperature, relative humidity and air pressure from weather stations were used to calculate air properties, which are required for the data processing. The weather stations are located in the immediate vicinity of the turbulence tower and are affected by the same air masses. Turbulence data were averaged to 30-min intervals, whilst changing to a 15-min time interval marginally affects the heat fluxes at the Weissfluhjoch test site (Mott et al., 2011). Note that we define a negative sensible heat flux as being directed towards the snow surface and a positive sensible heat flux as being directed upwards. The selected datasets and corresponding test sites are briefly introduced below: Weissfluhjoch 2007 (WFJ07): A vertical set-up of two three-dimensional ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) was used at the traditional field site Weissfluhjoch (2540 m asl.) to measure three-dimensional wind velocity and air temperature at a frequency of 20 Hz. The sensors were mounted 3 m and 5 m above the ground and provided reliable data for 50 days between 11 February 2007 and 24 April 2007. Further information on the field campaign can be found in St\u00f6ssel et al. (2010) and Mott et al. (2011). Weissfluhjoch 2011-13 (WFJ11): Three-dimensional wind velocity and air temperature were recorded at 5 m above the ground at a frequency of 10 Hz with a three-dimensional ultrasonic anemometer (CSAT3). The analysis was conducted for data obtained between February and March in the years 2011-13. Plaine Morte 2007 (PM07): Two three-dimensional ultrasonic anemometers (CSAT3) were installed on a horizontal boom facing opposite directions (west-north-west vs. east-south-east) at 3.75 m above the ground to measure air temperature and three-dimensional wind velocity at 20 Hz. The data were collected at the almost flat field site on the Plaine Morte glacier (2750 m asl.) near Crans-Montana, Switzerland from February to April 2007. High quality meteorological data were additionally recorded and used to force the model. A detailed description about the set-up at the Plaine Morte glacier can be found in Huwald et al. (2009) and Bou-Zeid et al. (2010). Greenland 2000 (GR00): High-frequency three-dimensional ultrasonic anemometer measurements (CSAT3) were recorded at 50 Hz at the Summit Camp (72.3 \u00b0N, 38.8 \u00b0W, 3208 m asl.) located on the northern dome of the Greenland ice sheet. Data were collected at 1 m and 2 m above the snow surface during summer in 2000 and 2001. Additionally, meteorological measurements were obtained for the post processing and used to force the model. More information about the field campaign can be found in Cullen et al. (2007, 2014). Antarctica 2000 (AA00): A set-up of three vertical three-dimensional ultrasonic anemometers (DA-600, Kaijo Denki) were installed at Mizuho Station (70\u00b042' S, 44\u00b020' E, 2230 m asl.) in Eastern Antarctica at 0.2, 1 and 25 m and recorded turbulence data at a frequency of 100 Hz from October to November 2000. Longwave and shortwave radiation, relative humidity, air and snow surface temperature were additionally measured and used to force the model. More information about the field campaign can be found in Nishimura and Nemoto (2005).", "license": "proprietary" }, + { + "id": "hs3avaps2_2", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK ADVANCED VERTICAL ATMOSPHERIC PROFILING SYSTEM (AVAPS) DROPSONDE SYSTEM V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-09-07", + "end_date": "2014-09-30", + "bbox": "-97.5988, 7.9001, -19.0779, 47.1646", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979860836-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979860836-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3avaps2_2", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Global Hawk Advanced Vertical Atmospheric Profiling System (AVAPS) Dropsonde System dataset was collected by the Advanced Vertical Atmospheric Profiling System (AVAPS), built by the National Center for Atmospheric Research (NCAR), which served as the dropsonde system for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. AVAPS dropsondes provide in-situ, high-vertical resolution measurements of atmospheric variables including pressure, temperature, humidity, geographic location, and winds, providing a vertical profile of the atmospheric conditions. The raw instrument measurement precision is as follows: pressure +-1.0 hPa, temperature +-0.2 degrees C, wind +-1 ms-1, and humidity +-7 percent. The measured information was transmitted via Iridium or Ku-Band satellite to the ground station where the Global Telecommunications System (GTS) performed additional processing for research and operational purposes.", + "license": "proprietary" + }, + { + "id": "hs3cimssbt_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Brightness Temperature V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-08-14", + "end_date": "2014-10-03", + "bbox": "-180, 12, -60, 52", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983208537-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983208537-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3cimssbt_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Brightness Temperature dataset contains infrared images of brightness temperature from the 15th Geostationary Operational Environmental Satellite (GOES-15) and the 10th Meteorological Satellite (METEOSAT-10) during the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The images are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in PNG format.", + "license": "proprietary" + }, + { + "id": "hs3cimsscth_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cloud Top Height V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-08-14", + "end_date": "2014-10-03", + "bbox": "-180, 12, -60, 52", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983220658-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983220658-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3cimsscth_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cloud Top Height dataset contains could top height images obtained from infrared observations of the 15th Geostationary Operational Environmental Satellite (GOES-15) and the 10th Meteorological Satellite (METEOSAT-10) using the Algorithm Working Group (AWG) Cloud Height Algorithm (ACHA) for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The images are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in PNG format.", + "license": "proprietary" + }, + { + "id": "hs3cimsstot_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-08-14", + "end_date": "2014-10-03", + "bbox": "-180, 12, -60, 52", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983233595-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983233595-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3cimsstot_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops dataset contains browse only data showing tropical overshooting tops derived from METEOSAT and GOES satellites for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in KML format. ", + "license": "proprietary" + }, + { + "id": "hs3cpl_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK CLOUD PHYSICS LIDAR (CPL) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-09-07", + "end_date": "2014-09-30", + "bbox": "-118.552, 7.55657, -19.4239, 48.1787", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979862427-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979862427-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3cpl_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Global Hawk Cloud Physics Lidar (CPL) dataset includes measurements gathered by the CPL instrument during the HS3 campaign which took place during the hurricane seasons of 2011 through 2014 in the Atlantic Ocean basin region. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. The CPL instrument returns information on the radiative and optical properties of cirrus clouds and aerosols at a high temporal and spatial resolution. CPL uses the 355, 532, and 1064 nm channels and has a small field of view, which eliminates multiple scattering; it offers 30 m vertical resolution and 200 m horizontal resolution. The CPL instrument measures the total (aerosol plus Rayleigh) attenuated backscatter as a function of altitude at each wavelength. Data is available in netCDF/CF format, from 2012 - 2014.", + "license": "proprietary" + }, + { + "id": "hs3fltrep_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) FLIGHT REPORTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-09-01", + "end_date": "2014-11-20", + "bbox": "-174.843, 7.55657, -19.4239, 51.5268", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979863005-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979863005-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3fltrep_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Flight Reports provide information about flights flown by the WB-57 and Global Hawk aircrafts during the Hurricane and Severe Storms Sentinel (HS3) campaign from 2012 to 2014. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. Both aircraft are capable of extended operations ranging from 6.5 hours up to 24 hours. Together they can carry large payloads and support altitudes ranging from sea-level to altitudes in excess of 60,000 feet. The large payloads bring a new capability to the science community for measuring, monitoring and observing remote locations of Earth not feasible or practical with piloted aircraft, most other robotic or remotely operated aircraft, or space satellites. The HS3 Flight Reports include information regarding flight number, flight time (beginning and end), location of the flight (flight segments), flight purpose, and comments regarding the flight and mission. In addition, some reports include corresponding satellite imagery, maps of flight tracks and dropsonde locations, and plotted instrument retrievals.", + "license": "proprietary" + }, + { + "id": "hs3gmaodustaot_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-08-11", + "end_date": "2014-10-05", + "bbox": "-111, -10, 0, 50", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979863757-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979863757-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3gmaodustaot_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery dataset consists of browse only imagery showing dust aerosol optical thickness and wind speed/direction from the Goddard Earth Observing System Model, version 5 (GEOS-5). These data are used to see how the Saharan Air Layer (SAL) affects hurricane development during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environmental and storm-scale internal processes, addressing the controversial role of the SAL in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 11, 2014 and October 5, 2014 at 3-hour intervals in PNG format.", + "license": "proprietary" + }, + { + "id": "hs3hamsr_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-09-09", + "end_date": "2013-09-26", + "bbox": "-175.713, 9.239, -54.876, 51.942", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979868314-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979868314-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3hamsr_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Global Hawk High Altitude MMIC Sounding Radiometer (HAMSR) dataset includes measurements gathered by the HAMSR instrument during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HAMSR has 25 spectral channels which are split into 3 bands: an 8-channel band centered 53-GHz, used to infer the 3-D distribution of temperature; a 10-channel band centered at 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered at 183 GHz, used to measure water vapor (humidity) and cloud liquid water content in the atmosphere. This dataset also contains measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available in netCDF/CF format.", + "license": "proprietary" + }, + { + "id": "hs3hirad_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) HURRICANE IMAGING RADIOMETER (HIRAD) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-11-05", + "end_date": "2014-10-17", + "bbox": "-175.343, 12.3911, -55.0826, 52.0268", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979868580-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979868580-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3hirad_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Hurricane Imaging Radiometer (HIRAD) was collected by the Hurricane Imaging Radiometer (HIRAD), which was a multi-band passive microwave radiometer operating between 4-6.6 GHz. It used a novel interferometric aperture synthesis technique to produce high resolution wide swath observations without any mechanical scanning of the antenna. The instrument was designed to measure ocean surface wind speed in tropical storms and hurricanes. Developed in collaboration between scientists and engineers at National Aeronautics and Space Administration Marshall Space Flight Center (NASA MSFC), the University of Central Florida, and the University of Michigan, the instrument was first flown on a NASA high altitude aircraft in the Genesis and Rapid Intensification Processes (GRIP) Experiment in 2010 and was then flown for the Hurricane and Severe Storm Sentinel (HS3) in 2012-2014.", + "license": "proprietary" + }, + { + "id": "hs3hiwrap_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) HIGH-ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-09-15", + "end_date": "2014-10-17", + "bbox": "-96.6094, 21.0197, -65.0064, 31.613", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979869732-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979869732-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3hiwrap_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain dataset was collected from the High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ku- and Ka-band, or approximately 14 and 35 GHz), dual-beam (30 degree and 40 degree incidence angle), conically scanning radar that has been designed for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HIWRAP uses solid state transmitters along with a novel pulse compression scheme that results in a system that is considerably more compact and requires less power than typical radars used for precipitation and wind measurements. By conically scanning at 10-20 rpm, its beams sweeped below the Global Hawk collecting Doppler velocity/reflectivity profiles. The unique HIWRAP sampling and phase correction strategy implemented (frequency diversity Doppler processing technique). HIWRAP's dual-wavelength operation enables it to map full tropospheric winds from cloud and precipitation volume backscatter measurements, derive information about precipitation drop-size distributions, and estimate the ocean surface winds using scatterometry techniques. Winds will be retrieved using a gridding approach similar to well-established ground-based multi-Doppler radar wind analyses. More information can be found at http://har.gsfc.nasa.gov/index.php?section", + "license": "proprietary" + }, + { + "id": "hs3navgh_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK NAVIGATION V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-09-06", + "end_date": "2014-09-30", + "bbox": "-174.843, 7.55657, -19.4239, 51.5268", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979869982-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979869982-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3navgh_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Global Hawk Navigation dataset consists of the real-time navigation and housekeeping data that was acquired from various instruments aboard the Global Hawk including the LN-100G IMU navigation system and the Global Hawk flight computer during the HS3 campaign. The goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes, and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. This dataset was broadcast on the Global Hawk aircraft network by the NASDAT (NASA Airborne Science Data Acquisition and Transmission unit) as 1 Hz Universal Datagram Protocol (UDP) packets. These UDP packets were generated in IWG1 format, a type of ASCII format supported by all NASA and NCAR aircraft.", + "license": "proprietary" + }, + { + "id": "hs3nrltrop_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Naval Research Laboratory (NRL) Tropics Satellite Data V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2013-07-23", + "end_date": "2014-09-30", + "bbox": "-113.5, 2.2, -9, 53.9", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983244465-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983244465-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiZ3JpcCBtZXRlb3NhdCBzZWNvbmQgZ2VuZXJhdGlvbiAobXNnKSBpbWFnZSBkYXRhIHYxXCIsXCJHSFJDX0RBQUNcIixcImdyaXBtc2dcIixcIjFcIiwxOTgzMTQ4MTYzLDEzXSIsInVtbSI6IltcImdyaXAgbWV0ZW9zYXQgc2Vjb25kIGdlbmVyYXRpb24gKG1zZykgaW1hZ2UgZGF0YSB2MVwiLFwiR0hSQ19EQUFDXCIsXCJncmlwbXNnXCIsXCIxXCIsMTk4MzE0ODE2MywxM10ifQ%3D%3D/hs3nrltrop_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Naval Research Laboratory (NRL) Tropics Satellite Data contains browse only data files, including brightness temperature, rain rate, and Red, Green, Blue (RGB) composite imagery, for the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environmental and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. These browse only data files are available for dates between April 22, 2013 and September 30, 2014 in JPG format.", + "license": "proprietary" + }, + { + "id": "hs3ships_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2014-03-18", + "end_date": "2014-09-30", + "bbox": "-179.11, 7.19, -14.99, 44.51", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979870260-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979870260-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/hs3ships_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity dataset was obtained from March 18, 2014 through September 30, 2014 during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The SHIPS model provides tropical storm intensity forecasts for the Atlantic Ocean and the eastern and central North Pacific Ocean storms and invest areas. SHIPS uses GOES infrared imagery as input to the systems. These SHIPS data are available in ASCII format.", + "license": "proprietary" + }, + { + "id": "hs3shis_1", + "title": "Hurricane and Severe Storm Sentinel (HS3) Scanning High-Resolution Interferometer Sounder (S-HIS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2011-09-01", + "end_date": "2014-09-30", + "bbox": "-154.611, 7.55205, -19.2257, 50.0961", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979871558-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979871558-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/hs3shis_1", + "description": "The Hurricane and Severe Storm Sentinel (HS3) Scanning High-Resolution Interferometer Sounder (S-HIS) measures emitted thermal radiances that are used to obtain temperature and water vapor profiles of the Earth's atmosphere in clear-sky conditions. Due to the S-HIS scanning capability, the instrument provides 2 km resolution (at nadir) across a 40 km wide ground swath when flown at an altitude of 20 km onboard the NASA Global Hawk unmanned aircraft. S-HIS data were collected during the 5-week HS3 field campaign study periods in the 2012 to 2014 Atlantic hurricane seasons. ", + "license": "proprietary" + }, + { + "id": "hs3wwlln_1", + "title": "HURRICANE AND SEVERE STORM SENTINEL (HS3) WORLD WIDE LIGHTNING LOCATION NETWORK (WWLLN) STORMS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2012-08-28", + "end_date": "2014-10-20", + "bbox": "-116.595, 12.9, -15.001, 68.994", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979872496-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979872496-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/hs3wwlln_1", + "description": "The World Wide Lightning Location Network (WWLLN) is a global, ground-based lightning sensor network operated by the University of Washington in Seattle. This network monitors and maps global lightning activity. WWLLN has generated quality controlled global lightning data for storms studied during the 2012-2014 Hurricane and Severe Storm Sentinel (HS3) campaign to track and analyze lightning activity.", + "license": "proprietary" + }, { "id": "husky_sat_1", "title": "Husky Massif Satellite Image Map 1:100000", @@ -183351,6 +160380,19 @@ "description": "List of key debris flow variables from the WSL Illgraben monitoring station (2019-2022) such as occurrence date and time, peak flow depth, peak flow velocity, total volume and bulk density. This table contains values based on our current analysis methods. The list will be updated annually after each debris flow season, and as our methods continue to improve, individual values may change slightly in the future.", "license": "proprietary" }, + { + "id": "imergcpex_1", + "title": "Integrated Multi-satellitE Retrievals for GPM (IMERG) CPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-24", + "end_date": "2017-07-16", + "bbox": "-99.95, 5.05, -45.05, 39.95", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2647820404-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2647820404-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/imergcpex_1", + "description": "The Integrated Multi-satellitE Retrievals for GPM (IMERG) CPEX dataset includes measurements gathered by IMERG during the Convective Processes Experiment (CPEX) field campaign. IMERG combines precipitation estimates from multiple passive microwave (PMW) sensors available in a 30-minute analysis time. These estimates are retrieved using the Goddard Profiling (GPROF) algorithm that converts PMW brightness temperatures to a precipitation estimate. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. IMERG combines information from the GPM satellite constellation to estimate precipitation over the majority of the Earth's surface. Data are available from May 24, 2017 through July 16, 2017 in netCDF-3 format.", + "license": "proprietary" + }, { "id": "imis-measuring-network_1.0", "title": "IMIS measuring network", @@ -183520,19 +160562,6 @@ "description": "# Input data for the following research article: Impact assessment of homogenised snow depth series on trends The data consists of separate output files from the following homogenisation methods: * Climatol * HOMER * interpQM The variable is seasonal mean snow depth (HSavg) plot.data is an additional data frame containing trends of HSavg (station, method, value, pvalue, altitude)", "license": "proprietary" }, - { - "id": "insects_subsaharanAfrica_Not provided", - "title": "A Checklist of the Insects of Subsaharan Africa", - "catalog": "SCIOPS STAC Catalog", - "state_date": "2000-01-01", - "end_date": "", - "bbox": "13.68, -35.9, 33.98, -21.27", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611706-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214611706-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIiwidW1tIjoiW1wiM2hlIGV4cG9zdXJlIGRhdGVzIGZyb20gbW91bnQgd2Flc2NoZSwgbWFyaWUgYnlyZCBsYW5kXCIsXCJTQ0lPUFNcIixcIjNIZV9FeHBvc3VyZV9kYXRlc19NdF9XYWVzY2hlXCIsXCJub3QgcHJvdmlkZWRcIiwxMjE0NjE0ODYxLDNdIn0%3D/insects_subsaharanAfrica_Not%20provided", - "description": "One of the most basic needs for inventorying, exploiting and monitoring the changes in the insect diversity of Africa is a complete list of species which are already know to occur in Africa. Surprisingly, such a basic list does not exist, despite some 250 years of formal scientific description of life on earth. The International Centre of Insect Physiology and Ecology (ICIPE), along with the National Museum of Natural History, is therefore sponsoring the production of the list, which will provide a reliable platform of 'standard' names for species on which many other projects depend. This list, or authority file, will greatly enhance communication both among scientists and between scientists and users of scientific data. The African list will also be a major contribution toward the proposed list of world species (e.g. the Global Biodiversity Information Facility (GBIF) and Species 2000 initiative of DIVERSITAS). A demonstration database is provided for the species of the orders Odonata (dragonflies and damselflies), Ephemeroptera (mayflies), Plecoptera (stoneflies), Megaloptera (alderflies), Hemiptera-Heteroptera (true bugs), Homoptera (cicadas, leafhoppers, planthoppers, scales, and others), and Trichoptera (caddisflies). Invitation to collaboration: Compilation of the checklist is being coordinated by Nearctica (formerly Entomological Information Specialists), because of their experience with Nomina Insecta Nearctica. We are attempting to collaborate with known specialists as contributors and reviewers, but we welcome additional suggestions of collaborators. Inquires can be directed to Scott Miller (miller.scott@nmnh.si.edu). Information was obtained from \"http://entomology.si.edu/\".", - "license": "proprietary" - }, { "id": "intercomparison-of-photogrammetric-platforms_1.0", "title": "Photogrammetric snow depth maps from satellite-, airplane-, UAS and terrestrial platforms from the Davos region (Switzerland)", @@ -183611,6 +160640,32 @@ "description": "![alt text](https://www.envidat.ch/dataset/6480bbef-06bf-4da8-8502-96f4def23358/resource/0a9d712c-38ad-4f55-842e-36b21a7e1b97/download/isotopelab_wsl.jpg \"Isotope Laboratory WSL\") The lab uses stable isotope ratios of the light elements hydrogen, carbon, nitrogen and oxygen as a universal tool for studying physical, chemical and biological processes in forests and other ecosystems. Due to natural isotope fractionations, environmental changes leave unique fingerprints in organic matter, like tree-rings. It is, therefore, possible to detect the influence of ongoing climate changes on plant physiology. By applying isotopically labelled substrate, matter fluxes through plants and soil can be traced and better understood. The facility has isotope-Ratio mass-spectrometers and dedicated periphery for the analysis of organic matter, gas samples and water samples. With HPLC and GC we apply compound-specific isotope ratio analysis of sugars and organic acids. Additional isotope mass-spectrometers are operated by the Zentrallabor WSL.", "license": "proprietary" }, + { + "id": "isslis_v2_fin_2", + "title": "Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2023-11-16", + "bbox": "-180, -55, 180, 55", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2303212754-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2303212754-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wicC0zIG1ldGVvcm9sb2dpY2FsIGFuZCBuYXZpZ2F0aW9uIGRhdGEgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJwM21ldG5hdmltcGFjdHNcIixcIjFcIiwxOTk1ODY4MTM3LDMxXSIsInVtbSI6IltcInAtMyBtZXRlb3JvbG9naWNhbCBhbmQgbmF2aWdhdGlvbiBkYXRhIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwicDNtZXRuYXZpbXBhY3RzXCIsXCIxXCIsMTk5NTg2ODEzNywzMV0ifQ%3D%3D/isslis_v2_fin_2", + "description": "The Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data dataset was collected by the LIS instrument mounted on the ISS and are used to detect the distribution and variability of total lightning occurring in the Earth\u2019s tropical and subtropical regions. This dataset consists of quality controlled science data. This data collection can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. The data are available in both HDF-4 and netCDF-4 formats, with corresponding browse images in GIF format.", + "license": "proprietary" + }, + { + "id": "isslisg_v2_fin_2", + "title": "Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Backgrounds V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-03-01", + "end_date": "2023-11-16", + "bbox": "-180, -55, 180, 55", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2303219035-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2303219035-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wicC0zIG1ldGVvcm9sb2dpY2FsIGFuZCBuYXZpZ2F0aW9uIGRhdGEgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJwM21ldG5hdmltcGFjdHNcIixcIjFcIiwxOTk1ODY4MTM3LDMxXSIsInVtbSI6IltcInAtMyBtZXRlb3JvbG9naWNhbCBhbmQgbmF2aWdhdGlvbiBkYXRhIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwicDNtZXRuYXZpbXBhY3RzXCIsXCIxXCIsMTk5NTg2ODEzNywzMV0ifQ%3D%3D/isslisg_v2_fin_2", + "description": "The Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Backgrounds dataset was collected by the LIS instrument mounted on the ISS and are used to detect the distribution and variability of total lightning occurring in the Earth\u2019s tropical and subtropical regions. This dataset consists of quality controlled science data. This data collection can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. The data are available in both HDF-4 and netCDF-4 formats.", + "license": "proprietary" + }, { "id": "jetty_sat_1", "title": "Jetty Peninsula Satellite Image Map 1:500 000", @@ -183690,16 +160745,16 @@ "license": "proprietary" }, { - "id": "joughin_0631973_Not provided", - "title": "Airborne Radar-Derived Accumulation Rates over Pine Island and Thwaites Glaciers", - "catalog": "SCIOPS STAC Catalog", - "state_date": "1980-01-01", - "end_date": "2009-12-31", - "bbox": "-124.8, -80.8, -86.7, -73.9", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600138-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214600138-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/joughin_0631973_Not%20provided", - "description": "This data set includes radar-derived annual accumulation rates over Thwaites Glacier between 1980 and 2009 and a gridded climatology (1985-2009) of snow accumulation over Pine Island and Thwaites Glaciers. The snow radar data were collected between 2009 and 2011 as part of NASA's Operation IceBridge Mission and are available at the NSIDC under \"IceBridge Snow Radar L1B Geolocated Radar Echo Strength Profiles\".", + "id": "kakqimpacts_1", + "title": "KAKQ NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-82.1814, 32.8531, -71.8333, 41.115", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995580744-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995580744-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kakqimpacts_1", + "description": "The KAKQ NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", "license": "proprietary" }, { @@ -183728,6 +160783,149 @@ "description": "Short-term measurements of carbon dioxide, water, and energy fluxes were collected at four locations along a mean annual precipitation gradient in southern Africa during the SAFARI 2000 wet (growing) season campaign of 2000. The purpose of this research was to determine how observed vegetation-atmosphere exchange properties are functionally related to long-term climatic conditions.", "license": "proprietary" }, + { + "id": "kbgmimpacts_1", + "title": "KBGM NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-81.5637, 38.0698, -70.4058, 46.3296", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1976723062-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1976723062-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kbgmimpacts_1", + "description": "The KBGM NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kboximpacts_1", + "title": "KBOX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-76.6945, 37.8256, -65.5792, 46.086", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995581487-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995581487-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kboximpacts_1", + "description": "The KBOX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kbufimpacts_1", + "title": "KBUF NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-84.3844, 38.8183, -73.0894, 47.0794", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995581917-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995581917-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kbufimpacts_1", + "description": "The KBUF NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kccximpacts_1", + "title": "KCCX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-83.4731, 36.7933, -72.5346, 45.053", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995582220-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995582220-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kccximpacts_1", + "description": "The KCCX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kcleimpacts_1", + "title": "KCLE NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-87.3705, 37.2833, -76.3492, 45.5434", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020894988-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020894988-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kcleimpacts_1", + "description": "The KCLE NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kcxximpacts_1", + "title": "KCXX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-78.9629, 40.3809, -67.3702, 48.6411", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020895772-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020895772-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kcxximpacts_1", + "description": "The KCXX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kdiximpacts_1", + "title": "KDIX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-79.81, 35.8109, -69.0103, 44.0825", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020896896-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020896896-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kdiximpacts_1", + "description": "The KDIX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kdoximpacts_1", + "title": "KDOX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-80.7442, 34.6956, -70.136, 42.9556", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020897888-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020897888-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kdoximpacts_1", + "description": "The KDOX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kdtximpacts_1", + "title": "KDTX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-89.0956, 38.5699, -77.8477, 46.8301", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020898934-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020898934-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kdtximpacts_1", + "description": "The KDTX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kdvnimpacts_1", + "title": "KDVN NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-96.109, 37.482, -85.053, 45.742", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025219690-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025219690-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kdvnimpacts_1", + "description": "The KDVN NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kenximpacts_1", + "title": "KENX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-79.677, 38.457, -68.451, 46.716", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025220226-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025220226-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kenximpacts_1", + "description": "The KENX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, { "id": "kerg_ant_bathy_1", "title": "Bathymetric Grid for the region 60E to 90E, 48S to 70S", @@ -183741,6 +160939,97 @@ "description": "This dataset is a bathymetric grid of the region 60E to 90E and 48.45S to 70S, created in a geographic coordinate system based on a WGS84 horizontal datum. The grid has a cell size of 0.005 degrees. Most of the work involved creating a bathymetric grid of the region 60E to 90E and 55S to 70S which was generated from the latest available multibeam swath bathymetry, fisheries' surveys and satellite altimetry data. A report outlining the development of this grid is available for download (see the related url below). This grid was then merged with the bathymetric grid described by the metadata record 'Bathymetric Grid of Heard Island - Kerguelen Plateau Region (2005)', which covers the region 68E to 80E and 48S to 56S. Hence the final grid has two 'No data' areas between 48.45S to 55S: 60E to 68E and 80E to 90E. The final grid is available for download as a geotiff and ArcInfo ascii file and contours derived from the grid are available for download as a shapefile (see the related urls below).", "license": "proprietary" }, + { + "id": "kfcximpacts_1", + "title": "KFCX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-85.449, 32.895, -75.099, 41.154", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025222404-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025222404-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kfcximpacts_1", + "description": "The KFCX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kgrbimpacts_1", + "title": "KGRB NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-93.906, 40.369, -82.316, 48.629", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025222762-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025222762-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kgrbimpacts_1", + "description": "The KGRB NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kgrrimpacts_1", + "title": "KGRR NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-91.187, 38.764, -79.903, 47.024", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2025223549-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2025223549-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiaHVycmljYW5lIGFuZCBzZXZlcmUgc3Rvcm0gc2VudGluZWwgKGhzMykgaHVycmljYW5lIGltYWdpbmcgcmFkaW9tZXRlciAoaGlyYWQpIHYxXCIsXCJHSFJDX0RBQUNcIixcImhzM2hpcmFkXCIsXCIxXCIsMTk3OTg2ODU4MCwxM10iLCJ1bW0iOiJbXCJodXJyaWNhbmUgYW5kIHNldmVyZSBzdG9ybSBzZW50aW5lbCAoaHMzKSBodXJyaWNhbmUgaW1hZ2luZyByYWRpb21ldGVyIChoaXJhZCkgdjFcIixcIkdIUkNfREFBQ1wiLFwiaHMzaGlyYWRcIixcIjFcIiwxOTc5ODY4NTgwLDEzXSJ9/kgrrimpacts_1", + "description": "The KGRR NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kgyximpacts_1", + "title": "KGYX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-75.9914, 39.7616, -64.5211, 48.021", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2030430631-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2030430631-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kgyximpacts_1", + "description": "The KGYX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kilnimpacts_1", + "title": "KILN NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-89.1706, 35.2906, -78.4723, 43.5504", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2030432039-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2030432039-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kilnimpacts_1", + "description": "The KILN NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kilximpacts_1", + "title": "KILX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-94.7433, 36.0206, -83.9303, 44.2804", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2030434636-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2030434636-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kilximpacts_1", + "description": "The KILX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kindimpacts_1", + "title": "KIND NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-91.6517, 35.5776, -80.9086, 43.8414", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2030436692-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2030436692-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kindimpacts_1", + "description": "The KIND NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, { "id": "kinetic-experiments-on-the-oxidation-of-bromide-by-ozone-from-289-245-k_1.0", "title": "Kinetic experiments on the oxidation of bromide by ozone from 289-245 K.", @@ -183754,6 +161043,84 @@ "description": "The reaction of ozone with bromide in polar regions results in the formation of reactive bromide species with impacts on ozone budget and the oxidative capacity of the lower atmosphere. Here, we present a data investigating the temperature dependence of bromide oxidation by ozone using a coated wall flow tube reactor coated with an aqueous mixture of citric acid and sodium bromide, a proxy for sea salt aerosol in snow or the free troposphere. Thus study shows the effect of of organic species at relatively mild temperatures between the freezing point and eutectic temperature as typical for Earth's cryosphere.", "license": "proprietary" }, + { + "id": "kiwximpacts_1", + "title": "KIWX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-91.2062, 37.2284, -80.1938, 45.4887", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2030440758-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2030440758-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kiwximpacts_1", + "description": "The KIWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kjklimpacts_1", + "title": "KJKL NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-88.527, 33.461, -78.099, 41.721", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2012922051-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2012922051-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kjklimpacts_1", + "description": "The KJKL NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "klotimpacts_1", + "title": "KLOT NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-93.612, 37.474, -82.557, 45.735", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2012927437-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2012927437-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/klotimpacts_1", + "description": "The KLOT NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "klwximpacts_1", + "title": "KLWX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-82.803, 34.846, -72.172, 43.106", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2012931540-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2012931540-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/klwximpacts_1", + "description": "The KLWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kmhximpacts_1", + "title": "KMHX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-81.907, 30.646, -71.846, 38.906", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2012947380-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2012947380-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kmhximpacts_1", + "description": "The KMHX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kmkximpacts_1", + "title": "KMKX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-94.199, 38.838, -82.902, 47.098", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2012934799-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2012934799-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kmkximpacts_1", + "description": "The KMKX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, { "id": "knp_fire_maps_756_1", "title": "SAFARI 2000 Historical Fire Maps, Kruger National Park, 1992-2001", @@ -183793,6 +161160,45 @@ "description": "An eddy covariance system mounted on a tower near the Skukuza Camp in Kruger National Park, South Africa, has been operating continuously since early 2000. Meteorological measurements started in February 2000, and the first flux measurements were made in April 2000. The site is unique in that the micrometeorological instruments are positioned on a tower located between two distinct savanna types, a broad-leafed Combretum savanna and a fine-leafed Acacia savanna. Measurements on the main eddy covariance tower include net ecosystem exchange of CO2, water, and energy, and measurements of a range of meteorological variables with 30-minute averaging period.", "license": "proprietary" }, + { + "id": "kokximpacts_1", + "title": "KOKX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-78.3285, 36.7356, -67.3994, 44.9961", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020260938-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020260938-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kokximpacts_1", + "description": "The KOKX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kpbzimpacts_1", + "title": "KPBZ NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-85.6552, 36.4018, -74.7808, 44.6616", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020261956-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020261956-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kpbzimpacts_1", + "description": "The KPBZ NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kraximpacts_1", + "title": "KRAX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-83.577, 31.5343, -73.4025, 39.7968", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020262679-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020262679-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kraximpacts_1", + "description": "The KRAX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, { "id": "krill_risk_maps_1", "title": "Code, data and results used to fit growth rates of Antarctic krill under experimental CO2 manipulation", @@ -183806,6 +161212,32 @@ "description": "The embryonic development of Antarctic krill (Euphausia superba) is sensitive to elevated seawater CO2 levels. This data set provides the experimental data and WinBUGS code used to estimate hatch rates under experimental CO2 manipulation, as described by Kawaguchi et al. (2013). Kawaguchi S, Ishida A, King R, Raymond B, Waller N, Constable A, Nicol S, Wakita M, Ishimatsu A (2013) Risk maps for Antarctic krill under projected Southern Ocean acidification. Nature Climate Change (in press) Circumpolar pCO2 projection. To estimate oceanic pCO2 under the future CO2 elevated condition, we computed oceanic pCO2 using a three-dimensional ocean carbon cycle model developed for the Ocean Carbon-Cycle Model Intercomparison Project (2,3) and the projected atmospheric CO2 concentrations. The model used, referred to as the Institute for Global Change Research model in the Ocean Carbon-Cycle Model Intercomparison Project, was developed on the basis of that used in ref. 4 for the study of vertical fluxes of particulate organic matter and calcite. It is an offline carbon cycle model using physical variables such as advection and diffusion that are given by the general circulation model. The model was forced by the following four atmospheric CO2 emission scenarios and their extensions to year 2300. RCP8.5: high emission without any specific climate mitigation target; RCP6.0: medium-high emission; RCP 4.5: medium-low emission; and RCP 3.0-PD: low emission (1). Simulated perturbations in dissolved inorganic carbon relative to 1994 (the Global Ocean Data Analysis Project (GLODAP) reference year) were added to the modern dissolved inorganic carbon data in the GLODAP dataset (5). To estimate oceanic pCO2, temperature and salinity from the World Ocean Atlas data set (6) and alkalinity from the GLODAP data set were assumed to be constant. Marine ecosystems of the Southern Ocean are particularly vulnerable to ocean acidification. Antarctic krill (Euphausia superba; hereafter krill) is the key pelagic species of the region and its largest fishery resource. There is therefore concern about the combined effects of climate change, ocean acidification and an expanding fishery on krill and ultimately, their dependent predators\u2014whales, seals and penguins. However, little is known about the sensitivity of krill to ocean acidification. Juvenile and adult krill are already exposed to variable seawater carbonate chemistry because they occupy a range of habitats and migrate both vertically and horizontally on a daily and seasonal basis. Moreover, krill eggs sink from the surface to hatch at 700\u20131,000m, where the carbon dioxide partial pressure (pCO2 ) in sea water is already greater than it is in the atmosphere. Krill eggs sink passively and so cannot avoid these conditions. Here we describe the sensitivity of krill egg hatch rates to increased CO2, and present a circumpolar risk map of krill hatching success under projected pCO2 levels. We find that important krill habitats of the Weddell Sea and the Haakon VII Sea to the east are likely to become high-risk areas for krill recruitment within a century. Furthermore, unless CO2 emissions are mitigated, the Southern Ocean krill population could collapse by 2300 with dire consequences for the entire ecosystem. The risk_maps folder contains the modelled risk maps for each of the climate change scenarios (i.e. Figure 4 in the main paper, and Figure S2 in the supplementary information). These are in ESRI gridded ASCII format, on a longitude-latitude grid with 1-degree resolution. Refs: 1. Meinshausen, M. et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 109, 213-241 (2011). 2. Orr, J. C. et al. Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms. Nature 437, 681-686 (2005). 3. Cao, L. et al. The role of ocean transport in the uptake of anthropogenic CO2. Biogeosciences 6, 375-390 (2009). 4. Yamanaka, Y. and Tajika, E. The role of the vertical fluxes of particulate organic matter and calcite in the oceanic carbon cycle: Studies using an ocean biogeochemical general circulation model. Glob. Biogeochem. Cycles 10, 361-382 (1996). 5. Key, R. M. et al. A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP). Glob. Biogeochem. Cycles 18, GB4031 (2004). 6. Conkright, M. E. et al. World Ocean Atlas 2001: Objective Analyses, Data Statistics, and Figures CD-ROM Documentation (National Oceanographic Data Center, 2002).", "license": "proprietary" }, + { + "id": "krlximpacts_1", + "title": "KRLX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-86.9891, 34.1811, -76.4563, 42.4412", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020263812-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020263812-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/krlximpacts_1", + "description": "The KRLX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. ", + "license": "proprietary" + }, + { + "id": "kscmill_1", + "title": "KSC ADVANCED GROUND BASED FIELD MILL V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1997-08-01", + "end_date": "2012-11-22", + "bbox": "-80.99, 28, -80, 28.99", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979872892-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979872892-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kscmill_1", + "description": "The Advanced Ground Based Field Mill (AGBFM) network consists of 34 (31 operational) field mills located at Kennedy Space Center (KSC), Florida. The field mills measure the electrostatic vertical field. This system can measure electrostatic fields in the range of 4 V/m to 32 kV/m at 10 Hz resolution (digitized at 50 Hz). Individual lightning events can be detected within approximately 50 nautical miles of KSC proper.", + "license": "proprietary" + }, { "id": "kt_canopy_structure_768_1", "title": "SAFARI 2000 Canopy Structural Measurements, Kalahari Transect, Wet Season 2001", @@ -183949,6 +161381,32 @@ "description": "This data set contains species composition, basal area, height, and crown cover of all woody plants at six sites along the Kalahari Transect visited in February-March of 2000 as part of SAFARI 2000. Similar measurements on woody and herbaceous vegetation at the Skukuza Flux Tower site in Kruger National Park, South Africa, were made in June of 2000. Leaf area index was derived from measurements made using PAR sensors at each site.Sampling protocol was the same at each site, with a slight variation at Skukuza. A grid of 42 points, 6 rows of 7 columns, each 50 m apart, was laid down in an area 300 m x 350 m for the Kalahari Transect sites. At Skukuza, the grid was 7x7, or 350 m x 350 m, centered on the tower site, yielding 49 points. At each grid point, all woody plants within a circular plot of a fixed radius were identified and measured. Stem circumference was measured on all stems and basal area per stem was derived. Basal area for the circular plots, per species, was calculated and extrapolated to hectares. Tree and stem densities were determined from the number of trees and stems in subplots and extrapolated to hectares. Woody plant height and canopy cover were determined, and aboveground woody biomass and peak leaf area index were estimated. The files are in comma-delimited ASCII format, with the first line listing the data set, author, and date, followed by the data records.", "license": "proprietary" }, + { + "id": "ktyximpacts_1", + "title": "KTYX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-81.4022, 39.6256, -69.9573, 47.8857", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020264637-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020264637-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/ktyximpacts_1", + "description": "The KTYX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "kvwximpacts_1", + "title": "KVWX NEXRAD IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-03-01", + "bbox": "-92.9872, 34.1302, -82.4619, 42.3903", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2020265507-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2020265507-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/kvwximpacts_1", + "description": "The KVWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, { "id": "l-band-davos-laret_1.0", "title": "L-Band Radiometry of Alpine Seasonal Snow Cover: 4 Years at the Davos-Laret Remote Sensing Field Laboratory", @@ -184781,6 +162239,19 @@ "description": "This data set is a subset of the 1-km global tree cover data set (DeFries et al. 1999) developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data are in ASCII GRID format.", "license": "proprietary" }, + { + "id": "ldarraw_1", + "title": "LIGHTNING DETECTION AND RANGING (LDAR) RAW DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1997-02-28", + "end_date": "2008-06-11", + "bbox": "-83, 26, -78, 31", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979878937-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979878937-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/ldarraw_1", + "description": "Lightning Detection and Ranging (LDAR) Raw data consists of level 1 lightning data collected from February 25, 1997 through June 11, 2008. The LDR system is located at the Kennedy Space Center. The center latitude and longitude of the LDAR network is 28.5387 and -80.6428. All x, y, and z values represent distance (in meters) from this location. LDAR is a volumetric lightning mapping system providing near real-time location of lightning in support of Space Shuttle operations. These data are in ASCII format.", + "license": "proprietary" + }, { "id": "leaf_voc_emissions_763_1", "title": "SAFARI 2000 Leaf-Level VOC Emissions, Maun, Botswana, Wet Season 2001", @@ -185002,6 +162473,110 @@ "description": "This data set includes synchronized and independently measured water discharge, bedload transport and at-a-point bedrock erosion data in 1 minute resolution and over more than 1.5 years from the Erlenbach stream hydrological observatory, a small (first-order) catchment in the pre-alpine valley Alptal in central Switzerland. These measurements are of high accuracy, which have been assessed in Beer, A.R. et al. 2015. Earth Surf. Proc., 40, 530-541. doi: 10.1002/esp.3652. For the artificial bedrock (a slab of weak concrete, fixed flush with the streambed) 6 additional consecutive spatial elevation data sets of 1 mm resolution have been surveyed that allow the local continuous erosion measurements to be extended to the patch scale. This unique data set has been used to validate and calibrate bedrock erosion models for the process to intermediate scales of time (and space), whose performance then was assessed over extended time (up to bicentennial floods), based on available longer data sets of linked discharge and bedload transport (see related datasets).", "license": "proprietary" }, + { + "id": "lipimpacts_2", + "title": "Lightning Instrument Package (LIP) IMPACTS V2", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-15", + "end_date": "2022-02-28", + "bbox": "-118.28, 31.07, -64.89, 47.7", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2008982738-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2008982738-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lipimpacts_2", + "description": "The Lightning Instrument Package (LIP) IMPACTS dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast (2020-2023). IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The V2 LIP IMPACTS data have been further filtered to remove field mill offsets that were identified in the prior V1 data. These data are available from January 15 through February 28, 2022 in ASCII format. ", + "license": "proprietary" + }, + { + "id": "lislipG_4", + "title": "Lightning Imaging Sensor (LIS) on TRMM Backgrounds V4", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2015-04-08", + "bbox": "-180, -40, 180, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995583255-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995583255-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/lislipG_4", + "description": "The Lightning Imaging Sensor (LIS) Backgrounds was collected by the LIS instrument on the Tropical Rainfall Measuring Mission (TRMM) satellite used to detect the distribution and variability of total lightning occurring in the Earth\u2019s tropical and subtropical regions. This data can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. These data are available in both HDF-4 and netCDF-4 formats.", + "license": "proprietary" + }, + { + "id": "lislip_4", + "title": "Lightning Imaging Sensor (LIS) on TRMM Science Data V4", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2015-04-08", + "bbox": "-180, -40, 180, 40", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1983762329-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1983762329-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIiwidW1tIjoiW1wia2dyciBuZXhyYWQgaW1wYWN0cyB2MVwiLFwiR0hSQ19EQUFDXCIsXCJrZ3JyaW1wYWN0c1wiLFwiMVwiLDIwMjUyMjM1NDksMjBdIn0%3D/lislip_4", + "description": "The Lightning Imaging Sensor (LIS) Science Data was collected by the LIS instrument on the Tropical Rainfall Measuring Mission (TRMM) satellite used to detect the distribution and variability of total lightning occurring in the Earth\u2019s tropical and subtropical regions. This data can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. These data are available in both HDF-4 and netCDF-4 formats, with corresponding browse images in GIF format. ", + "license": "proprietary" + }, + { + "id": "lisvhrac_1", + "title": "LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING ANNUAL CLIMATOLOGY (VHRAC) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2013-12-31", + "bbox": "-180, -38, 180, 38", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979882997-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979882997-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lisvhrac_1", + "description": "The LIS 0.1 Degree Very High Resolution Gridded Lightning Annual Climatology (VHRAC) dataset consists of gridded annual climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust.", + "license": "proprietary" + }, + { + "id": "lisvhrdc_1", + "title": "LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING DIURNAL CLIMATOLOGY (VHRDC) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2013-12-31", + "bbox": "-180, -38, 180, 38", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883116-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883116-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lisvhrdc_1", + "description": "The LIS 0.1 Degree Very High Resolution Gridded Lightning Diurnal Climatology (VHRDC) dataset consists of gridded diurnal climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust.", + "license": "proprietary" + }, + { + "id": "lisvhrfc_1", + "title": "LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING FULL CLIMATOLOGY (VHRFC) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2013-12-31", + "bbox": "-180, -38, 180, 38", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883245-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883245-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lisvhrfc_1", + "description": "The LIS 0.1 Degree Very High Resolution Gridded Lightning Full Climatology (VHRFC) dataset consists of gridded full climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust.", + "license": "proprietary" + }, + { + "id": "lisvhrmc_1", + "title": "LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING MONTHLY CLIMATOLOGY (VHRMC) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2013-12-31", + "bbox": "-180, -38, 180, 38", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883359-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883359-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lisvhrmc_1", + "description": "The LIS 0.1 Degree Very High Resolution Gridded Lightning Monthly Climatology (VHRMC) dataset consists of gridded monthly climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust.", + "license": "proprietary" + }, + { + "id": "lisvhrsc_1", + "title": "LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING SEASONAL CLIMATOLOGY (VHRSC) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1998-01-01", + "end_date": "2013-12-31", + "bbox": "-180, -38, 180, 38", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883491-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979883491-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lisvhrsc_1", + "description": "The LIS 0.1 Degree Very High Resolution Gridded Lightning Seasonal Climatology (VHRSC) dataset consists of gridded seasonal climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust.", + "license": "proprietary" + }, { "id": "literature-data-of-sound-speed-in-snow_1.0", "title": "Literature data of sound speed in snow", @@ -185028,6 +162603,136 @@ "description": "The results of published and unpublished experiments investigating the impacts of elevated carbon dioxide on the chemistry (nitrogen and lignin concentration) of leaf litter and the decomposition of plant tissues are assembled in a format appropriate for statistical meta-analysis of the effect of carbon dioxide.", "license": "proprietary" }, + { + "id": "lohrac_2.3.2015", + "title": "LIS/OTD 0.5 Degree High Resolution Annual Climatology (HRAC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-179.75, -89.75, 179.75, 89.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863067-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863067-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lohrac_2.3.2015", + "description": "The LIS/OTD 0.5 Degree High Resolution Annual Climatology (HRAC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRAC dataset includes annual flash rate climatology data on a 0.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lohrfc_2.3.2015", + "title": "LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-179.75, -89.75, 179.75, 89.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863244-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863244-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lohrfc_2.3.2015", + "description": "The LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite.The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRFC dataset include flash rate climatology data including raw and scaled flash on a 0.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lohrmc_2.3.2015", + "title": "LIS/OTD 0.5 Degree High Resolution Monthly Climatology (HRMC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-179.75, -89.75, 179.75, 89.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863290-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863290-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lohrmc_2.3.2015", + "description": "The LIS/OTD 0.5 Degree High Resolution Monthly Climatology (HRMC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRMC dataset include monthly flash rate climatology and flash rate seasonal climatology data on a 0.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lolrac_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Annual Climatology (LRAC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863391-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863391-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolrac_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Annual Climatology (LRAC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRAC dataset include annual flash rate climatology data including raw and scaled flashes on a 2.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lolracts_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Annual Climatology Time Series (LRACTS) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2015-04-08", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863430-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863430-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolracts_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Annual Climatology Time Series (LRACTS) consists of gridded climatologies of total lightning flash rates seen by the spaceborne Optical Transient Detector (OTD) and Lightning Imaging Sensor (LIS). The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRACTS dataset include annual flash rate time series data in MP4 format.", + "license": "proprietary" + }, + { + "id": "lolradc_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Annual Diurnal Climatology (LRADC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863553-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863553-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolradc_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Annual Dirunal Climatology (LRADC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRADC dataset include flash rate climatology data including scaled flash counts on a 2.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lolrdc_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Diurnal Climatology (LRDC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863733-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995863733-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolrdc_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Diurnal Climatology (LRDC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRDC dataset include diurnal flash rate climatology data including raw and scaled flashes on a 2.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lolrfc_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Full Climatology (LRFC) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2014-12-31", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995864215-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995864215-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolrfc_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Full Climatology (LRFC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRFC dataset include flash rate climatology data including raw and scaled flashes on a 2.5 degree grid in HDF and netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "lolrmts_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2015-04-08", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865015-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865015-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolrmts_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRMTS dataset include monthly flash rate time series data in MP4 format.", + "license": "proprietary" + }, + { + "id": "lolrts_2.3.2015", + "title": "LIS/OTD 2.5 Degree Low Resolution Time Series (LRTS) V2.3.2015", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1995-05-04", + "end_date": "2015-04-08", + "bbox": "-178.75, -88.75, 178.75, 88.75", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865470-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865470-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/lolrts_2.3.2015", + "description": "The LIS/OTD 2.5 Degree Low Resolution Time Series (LRTS) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRTS dataset include flash rate time series data in MP4 format.", + "license": "proprietary" + }, { "id": "long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands_1.0", "title": "Long-term recovery of above-and belowground interactions in restored grasslands", @@ -186029,6 +163734,19 @@ "description": "MAS images, along with other remotely sensed data, were collected to provide spatially extensive information over the primary study areas. This information includes biophysical parameter maps such as surface reflectance and temperature. Collection of the MAS images occurred over the study areas during the 1994 field campaigns.", "license": "proprietary" }, + { + "id": "masccpex_1", + "title": "Microwave Atmospheric Sounder on Cubesat (MASC) CPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-27", + "end_date": "2017-06-21", + "bbox": "-94.4072, 16.541, -69.04, 29.0499", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2658475027-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2658475027-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/masccpex_1", + "description": "The Microwave Atmospheric Sounder on Cubesat (MASC) CPEX dataset contains products obtained from the MASC instrument onboard the DC-8 aircraft. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 27, 2017 through June 21, 2017 and are available in HDF-5 format.", + "license": "proprietary" + }, { "id": "maslv1b_560_1", "title": "BOREAS Level-1B MAS Imagery: At-Sensor Radiance, Relative X and Y Coordinates", @@ -186289,19 +164007,6 @@ "description": "The data file refers to the data used in Portier et al. \"Plot size matters: towards comparable species richness estimates across plot-based inventories\" (2022) *Ecology and Evolution*. This paper describes a methodoligical framework developed to allow meaningful species richness comparisons across plot-based inventories using different plot sizes. To this end, National Forest Inventory data from Switzerland, Slovakia, Norway and Spain were used. NFI plots were aggregated into mega-plots of larger sizes to build rarefaction curves. The data stored here correspond to the mega-plot level data used in the analyses, including for each country the size of the mega-plots in square meters (A), the corresponding species richness (SR) as well as all enrionmental heterogeneity measures described in the corresponding paper. Mega-plots of country-specific downscaled datasets are also provided. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). Contact details for data requests from all NFIs can be found in the ENFIN website (http://enfin.info/).", "license": "proprietary" }, - { - "id": "mendocino_mathison_peak_nff_sr_Not provided", - "title": "Airborne laser swath mapping (ALSM) data of the San Andreas fault", - "catalog": "SCIOPS STAC Catalog", - "state_date": "2003-02-05", - "end_date": "2003-02-11", - "bbox": "-123.81387, 39.31092, -123.720085, 39.333496", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614580-SCIOPS.umm_json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214614580-SCIOPS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SCIOPS/collections?cursor=eyJqc29uIjoiW1wiYWlyYm9ybmUgZ2VvcGh5c2ljYWwgZGF0YSBhY3F1aXJlZCBhbmQgcmVkdWNlZCBieSB0aGUgdW5pdmVyc2l0eSBvZiB0ZXhhcyBpbnN0aXR1dGUgZm9yIGdlb3BoeXNpY3MsIDIwMDAtMjAwMS5cIixcIlNDSU9QU1wiLFwiU09BUjJfVVRJR1wiLFwibm90IHByb3ZpZGVkXCIsMTIxNDYxNDU1NywzXSIsInVtbSI6IltcImFpcmJvcm5lIGdlb3BoeXNpY2FsIGRhdGEgYWNxdWlyZWQgYW5kIHJlZHVjZWQgYnkgdGhlIHVuaXZlcnNpdHkgb2YgdGV4YXMgaW5zdGl0dXRlIGZvciBnZW9waHlzaWNzLCAyMDAwLTIwMDEuXCIsXCJTQ0lPUFNcIixcIlNPQVIyX1VUSUdcIixcIm5vdCBwcm92aWRlZFwiLDEyMTQ2MTQ1NTcsM10ifQ%3D%3D/mendocino_mathison_peak_nff_sr_Not%20provided", - "description": "This airborne laser swath mapping (ALSM) data of the San Andreas fault zone in northern California was acquired by TerraPoint, LLC under contract to the National Aeronautics and Space Administration in collaboration with the United States Geological Survey. The data were acquired by means of LIght Detection And Ranging (LIDAR) using a discrete-return, scanning laser altimeter capable of acquiring up to 4 returns per laser pulse. The data were acquired with a nominal density of 1 laser pulses per square meter achieved with 58% overlap of adjacent data swaths (all areas were mapped at least twice and the data combined to produce final products). The data set consists of 3 parts: (1) the LIDAR point cloud providing the location and elevation of each laser return, along with associated acquisition and classification parameters, (2) a highest-surface digital elevation model (DEM) produced at a 6 foot grid spacing, where each grid cell elevation corresponds to the highest laser return within the cell (cells lacking returns are undefined, usually associated with water or low reflectance surfaces such as fresh asphalt), and (3) a \"bald Earth\" DEM, with vegetation cover and buildings removed, produced at a 6 foot grid spacing by sampling a triangular irregular network (TIN). The TIN was constructed from those returns classified as being from the ground or water based on spatial filtering of the point cloud. Comparison to GPS-established ground control in flat, vegetation-free areas indicates that the DEM vertical accuracy is 17 cm (RMSE for 85 points). Bald Earth elevations under vegetation and for water bodies are less accurate where laser returns from the ground or water are sparse. The highest surface and bald Earth DEMs are distributed as georeferenced geotiff elevation and shaded relief images. The grid cell values in the elevation images are orthometric elevations in international feet referenced to North American Vertical Datum 1988 (NAVD-88) stored as signed floating point values with undefined grid cells set to -99. The shaded relief images are byte values from 0 (shaded) to 255 (illuminated) computed using ENVI 4.0 shaded relief modeling with an illumination azimuth of 225 degrees, illumination elevation of 60 degrees, and a 3x3 kernel size. The images are mosaics based on USGS 7.5 minute quadrangle boundaries. Each mosaic is an east-west strip covering the northern or southern half of adjacent quadrangles. File names include the quadrangle names, a northern (N) or southern (S) half designation, a bald Earth (BE) or highest-surface (FF) designation, and an elevation image (elev) or shaded relief image (SR) designation. FF refers to full-feature indicating vegetation and buildings have not been removed.These data were developed in order to study the geomorphic expression of natural hazards in support of the National Aeronautics and Space Administration (NASA) Solid Earth and Natural Hazards (SENH) Program, the United States Geological Survey (USGS), and the Geology component of the Earthscope Plate Boundary Observatory. Spatial Data Organization Information - Direct Spatial Reference: Raster Raster Object Type: Pixel Row Count: 1285 Column Count: 4398 Vertical Count: 1 Spatial Reference Information - Horizontal Coordinate System Definition - Planar - Map Projection Name: Lambert Conformal Conic Standard Parallel: 38.333333 Standard Parallel: 39.833333 Longitude of Central Meridian: -122.000000 Latitude of Projection Origin: 37.666667 False Easting: 6561666.666667 False Northing: 1640416.666667 Planar Coordinate Encoding Method: row and column Coordinate Representation: Abscissa Resolution: 6.000000 Ordinate Resolution: 6.000000 Distance and Bearing Representation: Planar Distance Units: survey feet Geodetic Model: Horizontal Datum Name: North American Datum of 1983 Ellipsoid Name: Geodetic Reference System 80 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257222", - "license": "proprietary" - }, { "id": "met-obs-jmr-stations-1976_1", "title": "Meteorological Observations Made At JMR Stations 1976-1977", @@ -186393,6 +164098,32 @@ "description": "These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the \"deterministic\" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations.", "license": "proprietary" }, + { + "id": "metnavcpexaw_1", + "title": "DC-8 Meteorological and Navigation Data CPEX-AW", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2021-08-17", + "end_date": "2021-09-04", + "bbox": "-118.163, 11.8616, -45.6412, 34.73", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2287328798-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2287328798-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/metnavcpexaw_1", + "description": "The DC-8 Meteorological and Navigation Data CPEX-AW dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These measurements were taken from the NASA DC-8 aircraft during the Convective Processes Experiment \u2013 Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. Data are available from August 17, 2021 through September 4, 2021 in ASCII format.", + "license": "proprietary" + }, + { + "id": "metnavcpexcv_1", + "title": "DC-8 Meteorological and Navigation Data CPEX-CV", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2022-09-02", + "end_date": "2022-10-03", + "bbox": "-118.1571766, 1.8457575, -14.9310906, 39.340882", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2704142547-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2704142547-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/metnavcpexcv_1", + "description": "The DC-8 Meteorological and Navigation Data CPEX-CV dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These data were gathered during the Convective Processes Experiment \u2013 Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign was based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX \u2013 Aerosols and Winds (CPEX-AW) and will be conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through October 3, 2022, in ASCII format.", + "license": "proprietary" + }, { "id": "mi_vascular_plants_census_1979_1", "title": "Annotated Atlas of the Vascular Flora of Macquarie Island - 1979", @@ -186432,6 +164163,32 @@ "description": "Log books for measurements taken during the Mirny - Dome C traverse by the Russians in 1981. Measurements include snow accumulation, magnetic readings, and barometric levelling. Copies of these documents have been archived in the records store of the Australian Antarctic Division.", "license": "proprietary" }, + { + "id": "misrepcpexaw_1", + "title": "Mission Reports CPEX-AW V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2021-08-20", + "end_date": "2021-08-27", + "bbox": "-80.7803, 14.9995, -63.7583, 26.9859", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2287317426-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2287317426-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/misrepcpexaw_1", + "description": "The Mission Reports CPEX-AW dataset contains daily objectives, flight times, and instrument performance during each NASA DC-8 aircraft flight during the Convective Processes Experiment \u2013 Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. Data are available from August 20, 2021 through August 27, 2021 in Microsoft Word Doc format.", + "license": "proprietary" + }, + { + "id": "misrepimpacts_1", + "title": "Mission Reports IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-08", + "end_date": "2023-03-01", + "bbox": "-119, 31, -64, 49", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865911-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865911-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/misrepimpacts_1", + "description": "The Mission Reports IMPACTS dataset consists of flight plans, plans of the day, science plans, and science summaries logged by scientists during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. The mission reports are available from January 8, 2020, through March 1, 2023, in PDF format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, { "id": "mod13q1-6.0_NA", "title": "MOD13Q1 v006 - Cloud Optimized GeoTIFF", @@ -186627,6 +164384,19 @@ "description": "This data set, ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001, contains global land cover classifications (dominant type, classification confidence and fractional cover) generated using a full year of MODerate Resolution Imaging Spectroradiometer (MODIS) data covering the period from October 2000 to October 2001. The objective of the MODIS Land Cover Product is to provide a suite of land cover types useful to global system science modelers by exploiting the information content of MODIS data in the spectral, temporal, spatial, and directional domains. These products describe the geographic distribution of the 17 land cover classification scheme proposed by the International Geosphere-Biosphere Programme (IGBP).", "license": "proprietary" }, + { + "id": "modiscpex_1", + "title": "Moderate Resolution Imaging Spectroradiometer (MODIS) CPEX V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-09", + "end_date": "2017-07-16", + "bbox": "-133.329, -15.7699, -7.96509, 62.0543", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2659160181-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2659160181-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/modiscpex_1", + "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) CPEX dataset includes measurements gathered by MODIS during the Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. Data are available from May 9, 2017 through July 16, 2017 in netCDF-3 format.", + "license": "proprietary" + }, { "id": "mogli-sdm_1.0", "title": "Distribution maps of common woody species for Swiss forests", @@ -186978,6 +164748,71 @@ "description": "The dataset \"RoRCC\" consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information: 1) metadata on the RoR power plants under consideration, 2) annual and seasonal production potential scenarios under into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020\u20132049, T2: 2045\u20132074, T3: 2070\u20132099), 3) annual and seasonal streamflow scenarios, 4) annual and seasonal production loss due to environmental flow requirements, 5) annual and seasonal the technical increase potential (via design discharge optimisation) and 6) annual and seasonal changes in the hydrological cycle.", "license": "proprietary" }, + { + "id": "mrmsimpacts_1", + "title": "Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2022-01-01", + "end_date": "2023-03-02", + "bbox": "-129.9949951, 20.0050011, -60.0050049, 54.9949989", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2287332555-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2287332555-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/mrmsimpacts_1", + "description": "The Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS dataset contains reflectivity products using the MRMS system during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data are available from January 1, 2022, through March 2, 2023, in netCDF-4 format.", + "license": "proprietary" + }, + { + "id": "msutls_6", + "title": "AMSU/MSU Lowstratosphere Day/Month Temperature Anomalies and Annual Cycle", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1978-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545162-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545162-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/msutls_6", + "description": "The AMSU/MSU Lowstratosphere Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the lower stratosphere. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats.", + "license": "proprietary" + }, + { + "id": "msutlt_6", + "title": "AMSU/MSU Lowtroposphere Day/Month Temperature Anomalies and Annual Cycle V6", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1978-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545409-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545409-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/msutlt_6", + "description": "The AMSU/MSU Lowtroposphere Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the lower troposphere. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats.", + "license": "proprietary" + }, + { + "id": "msutmt_6", + "title": "AMSU/MSU Midtroposphere Day/Month Temperature Anomalies and Annual Cycle V6", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1978-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545587-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545587-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/msutmt_6", + "description": "The AMSU/MSU Midtroposphere Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the mid-troposphere. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats.", + "license": "proprietary" + }, + { + "id": "msuttp_6", + "title": "AMSU/MSU Tropopause Day/Month Temperature Anomalies and Annual Cycle V6", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "1978-01-01", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545873-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1996545873-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiYW1wciBicmlnaHRuZXNzIHRlbXBlcmF0dXJlIGNhbWV4LTJcIixcIkdIUkNfREFBQ1wiLFwiYW1wcnRiY3gyXCIsXCIyXCIsMTk3Nzg1ODQ0MCwxNl0iLCJ1bW0iOiJbXCJhbXByIGJyaWdodG5lc3MgdGVtcGVyYXR1cmUgY2FtZXgtMlwiLFwiR0hSQ19EQUFDXCIsXCJhbXBydGJjeDJcIixcIjJcIiwxOTc3ODU4NDQwLDE2XSJ9/msuttp_6", + "description": "The AMSU/MSU Tropopause Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the tropopause. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats.", + "license": "proprietary" + }, { "id": "mt_menzies_sat_1", "title": "Mt Menzies Satellite Image Map 1:100 000", @@ -187017,6 +164852,19 @@ "description": "The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.", "license": "proprietary" }, + { + "id": "musondeimpacts_1", + "title": "Millersville University Upper Air Radiosondes IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2022-01-16", + "end_date": "2022-02-25", + "bbox": "-76.36, 39.9275, -72.5031, 43.0968", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2516027930-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2516027930-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIiwidW1tIjoiW1wibGlnaHRuaW5nIGltYWdpbmcgc2Vuc29yIChsaXMpIG9uIHRybW0gc2NpZW5jZSBkYXRhIHY0XCIsXCJHSFJDX0RBQUNcIixcImxpc2xpcFwiLFwiNFwiLDE5ODM3NjIzMjksMTldIn0%3D/musondeimpacts_1", + "description": "The Millersville University Upper Air Radiosondes IMPACTS dataset contains atmospheric temperature, dew point temperature, wind speed, and wind direction measurements using Vaisala\u2019s Radiosonde RS41-SGP and Sparv Embedded S1H3 Windsond during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data are available from January 16, 2022 through February 25, 2022 in ASCII format.", + "license": "proprietary" + }, { "id": "mwlezflx_493_1", "title": "BOREAS AFM-01 NOAA/ATDD Long-EZ Aircraft Flux Data over the SSA", @@ -187082,6 +164930,331 @@ "description": "Laboratory experiments are presented on the phase change at the surface of sodium chloride \u2013 water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution \u2013 air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.", "license": "proprietary" }, + { + "id": "nalma_1", + "title": "North Alabama Lightning Mapping Array (LMA) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2018-12-17", + "end_date": "", + "bbox": "-88.6453, 32.7246, -84.6453, 36.7246", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2683433889-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2683433889-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/nalma_1", + "description": "The North Alabama Lightning Mapping Array (NALMA) data are used to validate the Lightning Imaging Sensor (LIS) on the International Space Station (ISS), the Geostationary Lightning Mapper (GLM) instrument, and other current and future lightning measurements. These data are also used in convective storm process studies, including but not limited to validation of convection-resolving models that predict lightning. These NALMA data files are available from December 17, 2019 and are ongoing in ASCII format.", + "license": "proprietary" + }, + { + "id": "nalmaraw_1", + "title": "North Alabama Lightning Mapping Array (LMA) Raw Data V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2018-12-17", + "end_date": "", + "bbox": "-88.6453, 32.7246, -84.6453, 36.7246", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2023051335-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2023051335-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/nalmaraw_1", + "description": "The North Alabama Lightning Mapping Array (LMA) Raw Data are used to validate the Lightning Imaging Sensor (LIS) on the International Space Station (ISS), the Geostationary Lightning Mapper (GLM) instrument, and other current and future lightning measurements. These data are also used in convective storm process studies, including but not limited to validation of convection-resolving models that predict lightning. These NALMA data files are available from December 17, 2019 and are ongoing in ASCII format.", + "license": "proprietary" + }, + { + "id": "nam2ds_1", + "title": "NAMMA TWO-DIMENSIONAL STEREO PROBE AND CLOUD PARTICLE IMAGER V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.9783", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979884823-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979884823-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/nam2ds_1", + "description": "The NAMMA Two-Dimensional Stereo Probe and Cloud Particle Imager dataset consists of data from two probes used to measure the size, shape, and concentration of cloud particles; the two-dimensional stereo probe (2D-S), and the cloud particle imager (CPI). Both of these probes measure particle size distributions and derives extinction, particle concentration, ice water content and particle shape. Both probes provide hi-resolution black and white images of cloud particles. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namapr2_1", + "title": "NAMMA SECOND GENERATION AIRBORNE PRECIPITATION RADAR (APR-2) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -13.4683, 21.4717", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979884964-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979884964-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/namapr2_1", + "description": "The NAMMA Second Generation Airborne Precipitation Radar (APR-2) dataset was collected by using the Second Generation Airborne Precipitation Radar (APR-2), which is a dual-frequency (14 GHz and 35 GHz), Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem. This system measures radar reflectivity and doppler velocity at both the Ku- and Ka-band. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namcaps_1", + "title": "NAMMA CLOUD MICROPHYSICS (CAPS-PIP) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.0483", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885294-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885294-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namcaps_1", + "description": "The NAMMA Cloud Microphysics (CAPS-PIP) dataset consists of particle size distributions from the Clouds, Aerosol and Preciptaition Spectrometer (CAPS) and the Precipitaiton Imaging Probe (PIP) from August 19, 2006 to September 12, 2006. These instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.55 - 100 microns. Data is in the form of images and ascii tables. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namcobalt_1", + "title": "NAMMA CARBON MONOXIDE BY ATTENUATED LASER TRANSMISSION (COBALT) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.9783", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885415-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885415-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namcobalt_1", + "description": "The NAMMA Carbon mOnoxide By Attenuated Laser Transmission (COBALT) dataset includes measurements of the carbon monoxide mixing ratio and derived carbon monoxide mixing ratio profiles in the upper troposphere/lower stratosphere using an in-situ laser absorption spectrometer. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namcvi_1", + "title": "NAMMA CVI CLOUD CONDENSED WATER CONTENT V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.9783", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885558-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885558-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namcvi_1", + "description": "In the NAMMA CVI Cloud Condensed Water Content dataset the counterflow virtual impactor (CVI) was used to measure condensed water content (liquid water or ice in particles about 8 microns in diameter and up) and Cloud Condensation Nuclei (CCN) on the DC-8 during NASA African Monsoon Multidisciplinary Analyses (NAMMA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. Water vapor was measured with a MayComm Tunable Diode Laser (TDL) hygrometer and non-volatile particles are examined with an optical particle counter, a condensation nuclei counter, and an impactor for subsequent chemical analyses.", + "license": "proprietary" + }, + { + "id": "namdblue_1", + "title": "NAMMA MODIS/AQUA AND MODIS/TERRA DEEP BLUE PRODUCTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-13", + "end_date": "2006-09-30", + "bbox": "-50, -5, 10, 30", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885686-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885686-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namdblue_1", + "description": "The NAMMA MODIS/AQUA and MODIS/TERRA Deep Blue Products dataset is a collection of images depicting the aerosol optical depth derived from the MODIS deep blue algorithm from both AQUA and TERRA satellites. Additional imagery includes the RGB and Angstrom Exponent. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namdc8nav_1", + "title": "NAMMA DC-8 NAVIGATION AND HOUSEKEEPING (ICATS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.9783", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885855-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885855-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namdc8nav_1", + "description": "The NAMMA DC-8 Navigation and Housekeeping (ICATS) dataset is designed to: 1) interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters; 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations; and 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namdlh_1", + "title": "NAMMA DIODE LASER HYGROMETER (DLH) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.9783", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885952-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979885952-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namdlh_1", + "description": "The NAMMA Diode Laser Hygrometer (DLH) dataset uses the DLH, a near-infrared spectrometer operating from aircraft platforms, was developed by NASA's Langley and Ames Research Centers. It measures water vapor mixing ratio and derives water vapor partial pressure, relative humidity, and water vapor flux. Based upon near-infrared tunable diode technology, its spectrometer provides true in situ monitoring of water vapor concentrations with precision levels exceeding those of existing Lyman alpha and frost point hygrometers. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namdrop_1", + "title": "NAMMA DC-8 DROPSONDE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-07", + "end_date": "2006-09-12", + "bbox": "-90.0467, 7.31667, -12.7411, 47.4533", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886066-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886066-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namdrop_1", + "description": "The NAMMA DC-8 Dropsonde dataset were collected by the DC-8 dropsonde system, which uses an integrated, highly accurate, GPS-located atmospheric profiling dropsonde measuring and recording current atmospheric conditions in a vertical column below the aircraft. hese dropsondes, also known as dropwindsondes or parachute radiosondes, are small, lightweight (less than 1 lb) cylindrical instruments that fall freely through the atmosphere, slowed somewhat by a small inflatable parachute. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namdrop_raw_1", + "title": "NAMMA Raw DC-8 Dropsonde V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-07", + "end_date": "2006-09-12", + "bbox": "-93.799, 7.485, -12.741, 47.453", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865977-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865977-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namdrop_raw_1", + "description": "The NAMMA Raw DC-8 Dropsonde dataset consists of high-resolution vertical profiles of ambient pressure, temperature, relative humidity, wind speed, and wind direction obtained by the DC-8 dropsonde system during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) field campaign. The NAMMA field campaign was based in the Cape Verde Island, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. The DC-8 dropsonde system uses an integrated, highly accurate, Global Positioning System (GPS)-located atmospheric profiling dropsonde measuring and recording current atmospheric conditions in a vertical column below the aircraft. Data files are available in ASCII format for the period of August 7, 2006 through September 12, 2006. ", + "license": "proprietary" + }, + { + "id": "namhamsr_1", + "title": "NAMMA HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-15", + "end_date": "2006-09-12", + "bbox": "-84.51, 7.05, -10.56, 42.04", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886197-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886197-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namhamsr_1", + "description": "The NAMMA High Altitude MMIC Sounding Radiometer (HAMSR) dataset consists of data collected by HAMSR, which is a 25-channel microwave atmospheric sounder operating as a cross-track scanner. It operates with three bands: an 8-channel band centered around 50 GHz, used for primary temperature sounding; a 10-channel band centered around 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered around 183 GHz, used for water vapor (humidity) sounding. The instrument continuously self-calibrates by using internal calibration targets. Radiometric sensitivity at the composite sampling cells provided in the archive is typically 0.1 K and ranges up to 0.25 K for the stratospheric channels. Calibration accuracy is estimated at better than 1 K for temperature sounding and better than 2 K for water vapor sounding. Temperature weighting function peaks are distributed between the surface and the flight altitude. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namlarge_1", + "title": "NAMMA LANGLEY AEROSOL RESEARCH GROUP EXPERIMENT (LARGE) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.98", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886290-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886290-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namlarge_1", + "description": "The NAMMA Langley Aerosol Research Group Experiment (LARGE) dataset contains data collected from the following in situ aerosol sensors: condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, and integrating nephelometers. These instruments measure aerosol number density, aerosol size distribution, total scattering and backscattering coefficients. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namlargen_1", + "title": "NAMMA LANGLEY AEROSOL RESEARCH GROUP EXPERIMENT NAVIGATION DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.1533, 7.03833, -10.5583, 21.9783", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886577-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979886577-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namlargen_1", + "description": "The NAMMA Langley Aerosol Research Group Experiment Navigation Data is the DC-8 NAV data (ICATS) extracted into columns with time correction. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. This data was used with the LARGE dataset, but may also be used with other NAMMA datasets. It includes the wind speed and wind direction as well as pressure and air temperature information.", + "license": "proprietary" + }, + { + "id": "namlase_1", + "title": "NAMMA LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-15", + "end_date": "2006-09-12", + "bbox": "-96.5259, 7.0367, -10.5579, 47.8839", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887067-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887067-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namlase_1", + "description": "The NAMMA Lidar Atmospheric Sensing Experiment (LASE) dataset used the LASE system using the Differential Absorption Lidar (DIAL) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as atmospheric scattering ratios on a logarithmic scale. Water vapor data are reported as mixing ratios (g/kg) on both a linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006.", + "license": "proprietary" + }, + { + "id": "nammms_1", + "title": "NAMMA DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-12", + "bbox": "-34.154, 7.035, -10.557, 21.979", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887366-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887366-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/nammms_1", + "description": "The NAMMA DC-8 Meteorological Measurement System (MMS) dataset used the MMS, which consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The air-motion system consists of two airflow-angle probes, three total temperature probes each with a different response time, a pitot-static pressure probe, and a dedicated static pressure system. All probes and sensors are judiciously located at specific positions of the fuselage. The aircraft-motion sensing system consists of an embedded GPS ring laser inertial navigation system, and a multiple-antenna GPS attitude reference system. Customized software was developed to control, sample, and process all sensors and hardware. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namnpol_1", + "title": "NAMMA NASA POLARIMETRIC DOPPLER WEATHER RADAR (NPOL) V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-30", + "bbox": "-19.5413, 12.2132, -14.6547, 17.0998", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887556-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887556-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namnpol_1", + "description": "The NAMMA NASA Polarimetric Doppler Weather Radar (NPOL) dataset used the NPOL, developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band research radar that collected and operated nearly continuously during NAMMA. Data was collected 19 August through 30 September 2006, at Kawsara, Senegal. Its continuous operation provides a full volume scan every fifteen minutes. Scans may be either 270 Km long range scans or 150 Km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namradio_1", + "title": "NAMMA PRAIA CAPE VERDE RADIOSONDE V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-18", + "end_date": "2006-09-14", + "bbox": "-24.5327, 14.6689, -23.4742, 15.2707", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887749-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887749-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namradio_1", + "description": "The NAMMA Praia Cape Verde Radiosonde data used Sippican MarkIIa DGPS (LOS) radiosondes, which were launched in support of NASA African Monsoon Multidisciplinary Analyses (NAMMA) mission. This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. The radiosondes released were Sippican MK-IIa units developed by Lockheed Martin. The atmospheric soundings were used to measure pressure, temperature, humidity, wind direction and speed and spatial coordinates. Data is grouped by ascending and descending flights and includes temperature, Skew-T, trajectory, wind and time series plots.", + "license": "proprietary" + }, + { + "id": "namsenegal_1", + "title": "NAMMA SENEGAL RADIOSONDE AND TOWER FLUX DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-19", + "end_date": "2006-09-17", + "bbox": "-17.97, 13.91, 17.09, 15.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887807-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887807-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/namsenegal_1", + "description": "The NAMMA Senegal Radiosonde and Tower Flux data includes measurements of humidity, wind speed/direction and velocity. Additionally, the flux data includes photosynthetically active radiation (PAR), air and soil temperature and heat flux data. The flux data was obtained from a tower located in Kawasara, Sengal, Africa. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namsenrg_1", + "title": "NAMMA SENEGAL RAIN GAUGE NETWORK V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-08", + "end_date": "2006-09-30", + "bbox": "-17.1615, 14.1317, -16.4737, 15.2168", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887855-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979887855-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/namsenrg_1", + "description": "The NAMMA Senegal Rain Gauge Network consisted of 40 rain gauge sites (AMMA 1-40) located in various places throughout Senegal, West Africa. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. The Rain Gauge Network consisted of the large-scale rain gauge network. The rain gauges collected one-minute accumulation data. The location and photos of each site can be found in an accompanying PDF document: NAMMA_Raingauge_network.pdf.", + "license": "proprietary" + }, + { + "id": "namsmart_1", + "title": "NAMMA SMART-COMMIT MOBILE LABORATORIES V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-25", + "end_date": "2006-09-26", + "bbox": "-22.937, 16.731, -22.934, 16.734", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1986175963-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1986175963-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/namsmart_1", + "description": "The NAMMA SMART-COMMIT Mobile Laboratories dataset consists of data obtained from a suite of in situ and remote sensing instruments which measure parameters that characterize constituents of the atmosphere at a given location. The mobile system is comprised of many instruments including radiometers, lidar, particle sizers, gas monitors, meteorological sensors, tethered radiosondes, and others. Parameters measured include radiances, irradiances, back scatter profile, atmospheric state variables, aerosol scattering/absorbing, particle size distribution, trace gas concentrations, and sky images. This dataset also includes many derived products. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namtoga_1", + "title": "NAMMA TOGA RADAR DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-15", + "end_date": "2006-09-16", + "bbox": "-24.8, 13.6, -24.8, 16.4", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979889418-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979889418-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/namtoga_1", + "description": "The NAMMA TOGA Radar Data dataset consists of a collection of products derived from the NASA TOGA radar observations that were collected in the Republic of Cape Verde during the NAMMA campaign. The NASA TOGA radar is a C-band scanning radar with a beam width of 1.65 degrees. The radar was deployed on the southern tip of Sao Tiago (14.92N, 23.48W), the southern-most island in the Cape Verde islands. The radar operated nearly continuously from 15 August through 16 September, 2006, collecting measurements of horizontal radar reflectivity (ZH), radial velocity (VR) and spectral width (SW). These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namukatd_1", + "title": "NAMMA ATD LIGHTNING DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-14", + "end_date": "2006-09-20", + "bbox": "-75, -5, 30, 35", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979889519-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979889519-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namukatd_1", + "description": "The NAMMA ATD Lightning data provided by the UK Meterological Office from multiple outstations contains lightning stroke data, latitude and longitude, accuracy and weighting for fading-in flashes of lightning for the African Coast during the NAMMA experiment. Time is determined by the Arrival Time Difference (ATD) of the reporting stations. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, + { + "id": "namzeus_1", + "title": "NAMMA LIGHTNING ZEUS DATA V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2006-08-01", + "end_date": "2006-10-01", + "bbox": "-180, -89.8757, 180, 89.9292", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1979889582-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1979889582-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIiwidW1tIjoiW1wibWlzc2lvbiByZXBvcnRzIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwibWlzcmVwaW1wYWN0c1wiLFwiMVwiLDE5OTU4NjU5MTEsMjddIn0%3D/namzeus_1", + "description": "The NAMMA Lightning ZEUS data is provided by World-ZEUS Long Range Lightning Monitoring Network Data obtained from radio atmospheric signals located at thirteen ground stations spread across the European and African continents and Brazil from August 1, 2006 to October 1, 2006. Lightning activity occurring over a large part of the globe is continuously monitored at varying spatial accuracy (e.g. 10-20 km within and >50 km outside the network periphery) and high temporal (1 msec) resolution. Time is determined by the Arrival Time Difference between the time series from the pairs of the receivers. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets.", + "license": "proprietary" + }, { "id": "nanoplastics-in-forests_1.0", "title": "Nanoplastics in forests: Exploring the effects of nanoplastics on forest soils and tree physiology (NanoPlast)", @@ -187160,6 +165333,32 @@ "description": "Measurements made around the island of Nauru in Micronesia in 1999.", "license": "proprietary" }, + { + "id": "navdc8cpex_1", + "title": "DC-8 Navigation Data CPEX", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-05-25", + "end_date": "2017-06-28", + "bbox": "-118.146, 16.8091, -69.2995, 38.1965", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2609922003-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2609922003-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/navdc8cpex_1", + "description": "The DC-8 Navigation Data CPEX dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These measurements were taken from the NASA DC-8 aircraft during the Convective Processes Experiment (CPEX) field campaign. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 25, 2017 through June 28, 2017 in ASCII format.", + "license": "proprietary" + }, + { + "id": "navghepoch_1", + "title": "Global Hawk Navigation EPOCH", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2017-07-27", + "end_date": "2017-08-31", + "bbox": "-124.437, 16.8153, -83.8438, 37.1057", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2199836135-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2199836135-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wiY29tcGFjdCBzY2FubmluZyBzdWJtaWxsaW10ZXItd2F2ZSBpbWFnaW5nIHJhZGlvbWV0ZXIgKGNvc3NpcikgaW1wYWN0c1wiLFwiR0hSQ19EQUFDXCIsXCJjb3NzaXJpbXBhY3RzXCIsXCIxXCIsMzEwNDkyMTkyOSwxXSIsInVtbSI6IltcImNvbXBhY3Qgc2Nhbm5pbmcgc3VibWlsbGltdGVyLXdhdmUgaW1hZ2luZyByYWRpb21ldGVyIChjb3NzaXIpIGltcGFjdHNcIixcIkdIUkNfREFBQ1wiLFwiY29zc2lyaW1wYWN0c1wiLFwiMVwiLDMxMDQ5MjE5MjksMV0ifQ%3D%3D/navghepoch_1", + "description": "The Global Hawk Navigation EPOCH dataset consists of the real-time navigation and housekeeping data that was acquired by various instruments aboard the Global Hawk during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The data files are available from July 27, 2017 through August 31, 2017 in CSV format with associated KML browse files. ", + "license": "proprietary" + }, { "id": "nbi_veg_maps_787_1", "title": "SAFARI 2000 NBI Vegetation Map of the Savannas of Southern Africa", @@ -187186,6 +165385,19 @@ "description": "This data set for the ISLSCP Initiative II data collection provides near surface meteorological variables, fluxes of heat, moisture and momentum at the surface, and land surface state variables, all with a spatial resolution of 1 degree in both latitude and longitude. There are four temporal categories of data: time invariant and monthly mean annual cycle fields (together referred to as \"fixed\" fields), monthly mean fields, monthly 3-hourly diurnal, and 3-hourly fields. Two types of variables exist in this data; instantaneous fields (primarily state variables), and average fields (primarily flux fields expressed as a rate). The Center for Ocean-Land Atmosphere Studies (COLA) near-surface data set for ISLSCP II was derived from the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmospheric Model Inter-comparison Project (AMIP-II) reanalysis (http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/), covering the years from 1979-2003. The data set for ISLSCP II covers the period from 1986 to 1995. The purpose of the reanalysis was to provide an improved version of the original NCEP/National Center for Atmospheric Research (NCAR) reanalysis for General Circulation Model (GCM) validation. To co-register the NCEP/DOE reanalysis on the ISLSCP 1-degree grid, the reanalysis data set was regridded from its native T62 Gaussian grid) resolution (192 x 94 grid boxes globally) to 1-degree ISLSCP II required resolution.There are 136 compressed (.tar.gz) data files with this data set. When extrapolated, the individual data files are in ASCII (.asc) format.", "license": "proprietary" }, + { + "id": "ncsusndimpacts_1", + "title": "NCSU Soundings IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-02-20", + "end_date": "2023-02-12", + "bbox": "-78.643, 35.757, -78.623, 35.777", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865990-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995865990-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/ncsusndimpacts_1", + "description": "The NCSU Soundings IMPACTS dataset consists of atmospheric-sounding data collected by the North Carolina State University student sounding club. These data include vertical profiles of atmospheric temperature, relative humidity, pressure, wind speed, and wind direction. These rawinsondes were launched from Raleigh, NC in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The sounding data files are available in netCDF-4 format for February 20, 2020, from February 12, 2023. ", + "license": "proprietary" + }, { "id": "nead_0.1 (public request for comments)", "title": "Non-Binary Environmental Archive Data (NEAD) format", @@ -187277,6 +165489,32 @@ "description": "A Digital Elevation Model (DEM) of Newcomb Bay, Windmill Islands and terrestrial and bathymetric contours derived from the DEM. The data is stored in a UTM zone 49(WGS-84) projection. Heights are referenced to mean sea level. It was created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA IS NOT FOR NAVIGATION PURPOSES.", "license": "proprietary" }, + { + "id": "nexeastimpacts_1", + "title": "NEXRAD Mosaic East IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2019-12-31", + "end_date": "2020-02-29", + "bbox": "-85, 32.5, -67.525, 46.475", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995866059-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995866059-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/nexeastimpacts_1", + "description": "The NEXRAD Mosaic East IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) 3D mosaic files created from Level II surveillance data gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The Mosaic East dataset is composed of Level II data from 19 NEXRAD sites in the eastern U.S.. These data files are available in netCDF-4 format and contain meteorological and dual-polarization base data quantities including radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio from January 1 through February 29, 2020. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, + { + "id": "nexmidwstimpacts_1", + "title": "NEXRAD Mosaic Midwest IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2020-02-29", + "bbox": "-93, 36, -79.025, 45.975", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995866123-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995866123-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/nexmidwstimpacts_1", + "description": "The NEXRAD Mosaic Midwest IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) 3D mosaic files created from Level II surveillance data gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The Mosaic Midwest dataset is composed of Level II data from 11 NEXRAD sites in the midwestern U.S. These data files are available in netCDF-4 format and contain meteorological and dual-polarization base data quantities including radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio from January 1 through February 29, 2020. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.", + "license": "proprietary" + }, { "id": "niche-partitioning-between-wild-bees-and-honeybees_1.0", "title": "Niche partitioning between wild bees and honeybees", @@ -187368,6 +165606,19 @@ "description": "The objective of this work was to produce a monthly climatology of broadband surface albedos for use in global numerical weather prediction models at the National Centers for Environmental Prediction (NCEP). Monthly means of clear-sky, surface, broadband, snow-free albedos for overhead sun illumination angle were determined using data from a five-year period from April 1985-December 1987 and January 1989-March 1991. The data set is compatible in temporal coverage and spatial resolution with a monthly climatology of green vegetation fraction (Gutman and Ignatov, 1998) delivered earlier and currently in use at NCEP. Three zip files are provided at three spatial resolutions of quarter, half and on degree, each containing 12 data files in standard ESRI ArcGIS ArcInfo Grid format, and 12 data files in ASCII format denoting defifferences between the original data set and the ISLSCP II Land Sea Mask. ", "license": "proprietary" }, + { + "id": "noaasndimpacts_1", + "title": "NOAA Soundings IMPACTS", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-01", + "end_date": "2023-03-01", + "bbox": "-98.4233, 27.6953, -68.0036, 48.5747", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995866540-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995866540-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/noaasndimpacts_1", + "description": "The NOAA Soundings IMPACTS dataset was collected from January 1, 2020, through March 1, 2023, during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. The goal of IMPACTS was to provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. These radiosonde data files include wind direction, dew point temperature, geopotential height, mixing ratio, atmospheric pressure, relative humidity, wind speed, temperature, potential temperature, equivalent potential temperature, and virtual potential temperature measurements at various levels of the troposphere. The data are available in netCDF-4 format. ", + "license": "proprietary" + }, { "id": "non-native-native-plant-interactions-in-australian-grasslands_1.0", "title": "Native and no-native plant interactions in Australian grasslands", @@ -187381,6 +165632,19 @@ "description": "This dataset contains all data, on which the following publication below is based. __Paper Citation:__ _Schlierenzauer, C., Risch, A.C., Sch\u00fctz, M., Firn, J. 2021. Non-native Eragrostis curvula reduces plant species diversity in pastures of South-eastern Australia even when native Themeda triandra remains co-dominant. Plants 10, 596._ __Please cite this paper together with the citation for the datafile.__ Study area The study was conducted in the lowland grassy woodlands of the Bega Valley Region, which is located in the south-east corner of New South Wales, Australia. Embedded between the Pacific Ocean and the Australian Alps, the lowland grassy woodlands are mostly located on granitic substrates and reach elevations of roughly 500 m above sea level. Typically, these grassy woodlands receive less precipitation (mean annual precipitation between 700-1100 mm) compared to the more elevated areas that surround them (NSW Government - Office of Environment and Heritage 2017). The vegetation is dominated by an open tree canopy layer consisting of Eucalyptus tereticornis Sm, Angophora floribunda Sm. (Sweet) and a range of other eucalypt species. Sometimes shrub or small trees are also present, whereas grasses and forbs form the ground-cover. In areas without intensive agricultural history, this layer is dominated by perennial, tussock grasses such as Themeda triandra Forssk, Microlaena stipoides R.Br (Weeping Grass), Eragrostis leptostachya Steud. (Paddock Lovegrass) and Echinopogon ovatus P.Beauv (Forest Hedgehog Grass). The remaining inter-tussock spaces are occupied by a diversity of growth-restricted grasses and herbaceous forbs (NSW - Department of Planing, Industries and Environment 2019; NSW Government - Office of Environment and Heritage 2017). Clearing, pasture sowing, fertilizer application and livestock grazing resulted in a dramatic decrease in the extent of these natural woodlands, with less than five percent within conservation reserves and overall, with only about 20% of their original extent in New South Wales still existing (Tozer et al. 2010). The remaining areas outside of reserves are threatened by altered fire frequencies, habitat clearing, livestock grazing and especially by non-native plant invasion, particularly Eragrostis curvula (Schrad.) Nees. For this reason, the grassy woodlands are listed as an endangered ecological community in the NSW state legislation. Additionally, they are considered as critically endangered by the Commonwealth of Australia (Threatened Species Scientific Committee (TSSC) 2013). Experimental design and sampling The study was conducted on six farms and in each of them two sites were chosen, representing a paired design. One of the sites at each farm is dominated by native Themeda triandra, the other one co-dominated by non-native Eragrostis curvula and Themeda triandra. All farms are within a radius of approximately 10 km from the town Candelo. Three of the farms are located North (36\u00b040\u2019 to 36\u00b042\u2019 S and 149\u00b038\u2019 to 149\u00b042\u2019 E) and three of them are located South (36\u00b051\u2019 to 36\u00b049\u2019 S and 149\u00b038\u2019 to 149\u00b042\u2019 E) of Candelo. Non-native herbivores (mainly cattle, sheep and rabbits) and native herbivorous marsupials (mainly kangaroos, wallabies and wombats) are present in the area of these sites. On each site, data was collected within four plots (each 1 x 1 m) in May and November 2020. All plant species found within a plot were recorded and their relative abundance was estimated. References NSW - Department of Planing, Industries and Environment. 2019. \u201cLowland Grassy Woodland in the South East Corner Bioregion - Endangered Ecological Community Listing.\u201d https://www.environment.nsw.gov.au/topics/animals-and-plants/threatened-species/nsw-threatened-species-scientific-committee/determinations/final-determinations/2004-2007/lowland-grassy-woodland-south-east-corner-bioregion-endangered-ecological-community-l (February 18, 2021). NSW Government - Office of Environment and Heritage. 2017. \u201cLowland Grassy Woodland in the South East Corner Bioregion - Profile.\u201d https://www.environment.nsw.gov.au/threatenedSpeciesApp/profile.aspx?id=20070 (January 31, 2021). Threatened Species Scientific Committee (TSSC). 2013. Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) Conservation Advice for Lowland Grassy Woodland in the South East Corner Bioregion. http://www.environment.gov.au/biodiversity/threatened/communities/pubs/82-conservation-advice.pdf. Tozer, Mark et al. 2010. \u201cNative Vegetation of Southeast NSW: A Revised Classification and Map for the Coast and Eastern Tablelands.\u201d Cunninghamia\u202f: a journal of plant ecology for eastern Australia 11(3): 359\u2013406.", "license": "proprietary" }, + { + "id": "npolimpacts_1", + "title": "NASA S-Band Dual Polarimetric Doppler Radar (NPOL) IMPACTS V1", + "catalog": "GHRC_DAAC STAC Catalog", + "state_date": "2020-01-10", + "end_date": "2020-02-25", + "bbox": "-76.8875, 37.0488, -73.7959, 39.4762", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1995867554-GHRC_DAAC.umm_json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1995867554-GHRC_DAAC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/GHRC_DAAC/collections?cursor=eyJqc29uIjoiW1wibmFtbWEgcmF3IGRjLTggZHJvcHNvbmRlIHYxXCIsXCJHSFJDX0RBQUNcIixcIm5hbWRyb3BfcmF3XCIsXCIxXCIsMTk5NTg2NTk3NywxNl0iLCJ1bW0iOiJbXCJuYW1tYSByYXcgZGMtOCBkcm9wc29uZGUgdjFcIixcIkdIUkNfREFBQ1wiLFwibmFtZHJvcF9yYXdcIixcIjFcIiwxOTk1ODY1OTc3LDE2XSJ9/npolimpacts_1", + "description": "The NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IMPACTS dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL radar during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. The goal of IMPACTS was to provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The IMPACTS NPOL data are available from January 10, 2020 thru February 25, 2020. Zipped data files are in netCDF-3/CF format and contain corrected radar reflectivity, differential reflectivity, specific differential phase, differential phase, co-polar correlation, and Doppler velocity images.", + "license": "proprietary" + }, { "id": "ns0012bq_482_1", "title": "BOREAS NS001 TMS Level-2 Images: Reflectance and Temperature in BSQ Format", @@ -187511,6 +165775,19 @@ "description": "# Background information The availability of nitrogen (N) and phosphorus (P) is considered to be a major factor limiting growth and productivity in terrestrial ecosystems globally. This project aimed to determine whether the growth stimulation documented in previous short\u2010term fertilisation trials persisted in a longer\u2010term study (12 years) in the treeline ecotone, and whether possible negative effects of nutrient addition offset the benefits of any growth stimulation. Over the course of the 12 study years, NPK fertiliser corresponding to 15 or 30 kg N ha\u22121 a\u22121 was added annually to plots containing 30\u2010year\u2010old *Larix decidua* or 32\u2010year-old *Pinus uncinata* individuals with an understorey of mainly ericaceous dwarf shrubs. To quantify growth, annual shoot increments of trees and dwarf shrubs as well as radial growth increments of trees were measured. Nutrient concentrations in the soil were also measured and the foliar nutritional status of trees and dwarf shrubs was assessed. # Experimental design Over an elevation gradient of 140 m across the treeline afforestation site Stillberg, 22 locations were chosen that covered the whole range of microenvironmental conditions (*see* Nutrient addition experimental design.png). Half of the blocks included European larch (*L. decidua*) and the other half included mountain pine (*P. uncinata*). Within each block, three plantation quadrats were randomly selected as experimental plots and each plot was assigned to a control (no fertilisation) or to one of two fertiliser dose treatments (15 kg and 30 kg N ha\u22121 a\u22121). Treatments were assigned randomly but confined so that the location of fertilised plots within a block was not directly above control plots to avoid nutrient input from drainage. For details about the experiment, *see* M\u00f6hl et al (2019). # Data description The available datasets contain climate variables (2004-2016), nutrient isotope measurements (2010 & 2016), shrub growth measurements (2004-2016), soil parameter measurements and annual ring and shoot measurements (2004-2016). All data can be found here:During the Arctic campaign, NASA-funded Saildrones SD-1036 and SD-1037 undertook transects in the Chukchi Sea, approaching the sea ice edge to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.
The Saildrone Arctic 2019 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies. proprietary -SAILDRONE_ARCTIC_2021_1 Saildrone 2021 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project POCLOUD STAC Catalog 2021-07-06 2021-10-21 -168, 65, -164.5, 71 https://cmr.earthdata.nasa.gov/search/concepts/C2254805714-POCLOUD.umm_json The Saildrone Arctic 2021 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2021 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 76-day cruise in the Bering and Chukchi Seas, spanning from 6 July 2021 to 20 September 2021. The primary mission objective for 2021 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, with special emphasis on better understanding the spatial/temporal scales of air-sea covariance in the Chukchi Sea, which was accomplished by running a series of parallel tracks using the two Saildrones at varying horizontal offsets. Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/2021_Saildrone_Arctic_Cruise_Report.pdf
During the Arctic campaign, Saildrones SD-1057 and SD-1058 ran transects in the Chukchi Sea, approaching the sea ice edge (up to 50 km away) to measure air-sea heat and momentum fluxes in the ocean near sea ice and to validate satellite sea-surface temperature measurements in the Arctic. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents.\ The Saildrone Arctic 2021 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses two netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies.
The Saildrone Arctic 2021 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses two netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies. proprietary -SAILDRONE_ARCTIC_2022_1 Saildrone 2022 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project POCLOUD STAC Catalog 2022-06-18 2022-08-17 -168.5, 65.2, -157.2, 71.6 https://cmr.earthdata.nasa.gov/search/concepts/C2746559549-POCLOUD.umm_json The Saildrone Arctic 2022 dataset presents a unique collection of high-quality, near real-time, multivariate surface ocean, and atmospheric observations obtained through the deployment of Saildrone, an innovative wind and solar-powered uncrewed surface vehicle (USV). Saildrone is capable of extended missions lasting up to 12 months, covering vast distances at typical speeds of 3-5 knots and operates autonomously, relying solely on wind propulsion, while its navigation can be remotely guided from land. The 2022 Saildrone Arctic campaign featured two Saildrone USVs deployed during a 60-day cruise in the Bering and Chukchi Seas, spanning from 18 June 2022 to 17 August 2022. The primary mission objective for 2022 was to gather comprehensive atmospheric and oceanographic data in Alaskan arctic waters, specifically in collaboration with the Distributed Biological Observatory (DBO; https://www.pmel.noaa.gov/dbo/; https://dbo.cbl.umces.edu/). Please see the cruise report: https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/insitu/open/L2/saildrone/docs/Saildrone_2022_Arctic_Cruise_Report.pdf
During the Arctic campaign, Saildrones SD-1041 and SD-1046 undertook distinct trajectories to cover designated areas. SD-1041 traversed repeat transects from Point Hope, AK southwestward to near the International Date Line, following DBO line #3 (https://dbo.cbl.umces.edu/images/Frey_DBOmap_IceEdge2022.png). In contrast, SD-1046 ventured northward to DBO line #4 and, upon sea ice retreat, proceeded further north to DBO line #5. Each Saildrone was equipped with a suite of instruments to measure various parameters, including air temperature, relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Additionally, both vehicles utilized 300 kHz acoustic Doppler current profilers (ADCP) to measure near-surface currents. Seven temperature data loggers positioned vertically along the hull enhanced understanding of thermal variability near the ocean surface.
The Saildrone Arctic 2022 dataset, part of the Multi-sensor Improved Sea-Surface Temperature (MISST) project, encompasses three netCDF format files for each deployed Saildrone. The first file integrates saildrone platform telemetry and surface observational data at 1-minute temporal resolution including key parameters such as air temperature, sea surface skin, and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, and wind speed and direction. The second file focuses on ADCP current vector data, providing depth-resolved information to 100m at 2m intervals and binned temporally at 5-minute resolution. The third file includes temperature logger measurements at various depths at 1-minute resolution. This project, funded by NASA through the National Ocean Partnership Program (NOPP), demonstrates a commitment to advancing scientific understanding of the Arctic environment through innovative and autonomous observational technologies. proprietary
-SAILDRONE_ATOMIC_1.0 Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project POCLOUD STAC Catalog 2020-01-17 2020-03-02 -59.4, 7.4, -48.6, 12.1 https://cmr.earthdata.nasa.gov/search/concepts/C2491772162-POCLOUD.umm_json Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone ATOMIC (Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign) campaign involved the deployment of a fleet of saildrones, jointly funded by NASA and NOAA, in the Atlantic waters offshore of Barbados over a 45 day period from 17 January to 2 March 2020. The goal was to understand the Ocean-Atmosphere interaction particularly over the mesoscale ocean eddies in that region. The saildrones were equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone ATOMIC dataset is comprised of two data files for each of the three NASA-funded saildrones deployed, one for the surface observations and one for the ADCP measuements. The surface data files contain saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) spanning the entire cruise at 1 minute temporal resolution. The ADCP files for each saildrone are at 5 minute resolution for the duration of the deployments. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification. proprietary
-SAILDRONE_BAJA_SURFACE_1.0 Saildrone Baja field campaign surface and ADCP measurements POCLOUD STAC Catalog 2018-04-11 2018-06-11 -125.55, 28.01, -115.52, 37.82 https://cmr.earthdata.nasa.gov/search/concepts/C2491772165-POCLOUD.umm_json Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone Baja campaign was a 60-day cruise from San Francisco Bay, down along the US/Mexico coast to Guadalupe Island and back again over the period 11 April 2018 to 11 June 2018. Repeat surveys were taken around NDBC moored buoys, and during the final week of the cruise a targeted front was sampled. Scientific objectives included studies of upwelling and frontal region dynamics, air-sea interactions, and diurnal warming effects, while its validation objectives included establishing the utility of data from the saildrone platform for assessment of satellite data accuracy and model assimilation. During the Baja campaign, the single deployed saildrone was equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone Baja dataset is comprised of one data file with the saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) for the entire cruise at 1 minute temporal resolution. A second file contains the ADCP current vector data that is depth-resolved to 100m at 2m intervals and binned temporally at 5 minute resolution. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification. proprietary
SAM2_AERO_PRF_NAT_1 The Stratospheric Aerosol Measurement II (SAM II) Data set (SAM2_AERO_PRF_NAT) LARC_ASDC STAC Catalog 1978-10-29 1993-12-18 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1257546904-LARC_ASDC.umm_json SAM2_AERO_PRF_NAT data are Stratospheric Aerosol Measurement (SAM) II - Aerosol Profiles in Native (NAT) Format which measure solar irradiance attenuated by aerosol particles in the Arctic and Antarctic stratosphere.The Stratospheric Aerosol Measurement (SAM) II experiment flew aboard the Nimbus 7 spacecraft and provided vertical profiles of aerosol extinction in both the Arctic and Antarctic polar regions. The SAM II data coverage began on October 29, 1978 and extended through December 18, 1993, until SAM II was no longer able to acquire the sun. The data coverage for the Antarctic region extends through December 18, 1993, and has one data gap for the period of time from mid-January through the end of October 1993. The data coverage for the Arctic region extends through January 7, 1991, and contains data gaps beginning in 1988 that increase in size each year due to an orbit degradation associated with the Nimbus-7 spacecraft. proprietary
SAMMI2AE_2 MISR L2 Aerosol Product subset for the SAMUM region V002 LARC STAC Catalog 2006-05-12 2006-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-LARC.umm_json This is the Level 2 Aerosol Product.It contains Aerosol optical depth and particle type, with associated atmospheric data for the SAMUM_2006 theme. proprietary
SAMMI2LS_2 MISR L2 Surface Product subset for the SAMUM region V002 LARC STAC Catalog 2006-05-12 2006-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000422-LARC.umm_json This Level 2 Land Surface product contains information on land directional reflectance properties,albedos(spectral & PAR integrated),FPAR,asssociated radiation parameters & terrain-referenced geometric parameters for the SAMUM_2006 theme. proprietary
@@ -9868,26 +8717,6 @@ SAR_IMP_1P_NA ERS-1/2 SAR IM Precision L1 [SAR_IMP_1P] ESA STAC Catalog 1991-07
SAR_IMS_1P_NA ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1532648152-ESA.umm_json The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation. Product characteristics: - Pixel size: 8 m (range - across track) x 4 m (azimuth - along track – varying slightly depending on acquisition Pulse Repetition Frequency) - Scene area: 100 km (range) x at least 102.5 km (azimuth) - Scene size: 5000 samples (range) x at least 30000 lines (azimuth) - Pixel depth: 32 bits signed integer (16 bits I, 16 bits Q) - Total product volume: 575 MB - Projection: Slant range - Number of looks: 1 proprietary
SAR_IM_0P_NA ERS-1/2 SAR IM L0 [SAR_IM__0P] ESA STAC Catalog 1991-07-27 2011-07-04 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1965336946-ESA.umm_json This SAR Level 0 product is acquired in Image Mode. The products consist of the SAR telemetry data and are supplied as standard scenes. It also contains all the required auxiliary data necessary for data processing. The product serves two main purposes: For testing ERS SAR processors independently from the HDDR system For users interested in full SAR data processing. Product characteristics: - Scene area: 100 km (range - across track) x full segment length (azimuth - along track) - Scene size: 5616 samples (range) x full segment length (azimuth) - Pixel depth: 10 bits signed integer (5 bits I, 5 bits Q) - Projection: Slant range proprietary
SAR_Methane_Ebullition_AK_1790_1 ABoVE: SAR-based Methane Ebullition Flux from Lakes, Five Regions, Alaska, 2007-2010 ORNL_CLOUD STAC Catalog 2007-11-13 2010-11-11 -165.17, 64.44, -147.37, 71.35 https://cmr.earthdata.nasa.gov/search/concepts/C2143401901-ORNL_CLOUD.umm_json This dataset provides Synthetic Aperture Radar (SAR) estimates of lake-source methane ebullition flux in mg CH4/m2/d for thousands of lakes in five regions across Alaska. The study regions include the Atqasuk, Barrow Peninsula, Fairbanks, northern Seward Peninsula, and Toolik. L-band SAR backscatter values for early winter lake ice scenes were collected from 2007 to 2010 over 5,143 lakes using the Phased Array type L-band Synthetic Aperture Radar (PALSAR) instrument on the Advanced Land Observing Satellite (ALOS-1) satellite. The backscatter data were combined with field measurements of methane ebullition from 48 study lakes across the five regions to obtain a volumetric flux estimate for each lake. Mean methane gas-fractions from each region were applied to the SAR-based volumetric fluxes to obtain an estimate of methane ebullition mass flux per lake. The data files contain lake perimeters and the lake-specific attributes of lake area, SAR backscatter values and standard errors, volumetric flux with standard errors, mean percent of methane from gas samples, and methane ebullition mass flux. proprietary
-SASSIE_L1_SWIFT_V1_1 SASSIE Arctic Field Campaign L1 SWIFT Data Fall 2022 POCLOUD STAC Catalog 2022-08-01 2022-10-31 -153.6, 72, -145.5, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2580152405-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Level 1 data are available as compressed files containing graphics of the measurements alongside MATLAB and NetCDF files. proprietary
-SASSIE_L1_WAVEGLIDER_V1_1 SASSIE Arctic Field Campaign L1 Wave Glider Data Fall 2022 POCLOUD STAC Catalog 2022-08-01 2022-10-31 -170.5, 67.46, -138, 75.75 https://cmr.earthdata.nasa.gov/search/concepts/C2580179397-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. L1 data are available as a compressed file containing graphics of the measurements alongside MATLAB data files. proprietary
-SASSIE_L2_ALTO_ALAMO_FLOATS_V1_1 SASSIE Arctic Field Campaign ALTO/ALAMO Profiling Float Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-08 2022-10-15 -156, 71, -145, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2638311700-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains temperature and salinity measurements collected by ALTO and Air Launched Autonomous Micro Observer (ALAMO) profiling floats deployed in the Beaufort Sea. ALTO floats had ice-avoidance firmware, meaning that they stopped surfacing and transmitting data once surface temperatures dropped to near-freezing values (indicating the presence of sea ice). They will hopefully reappear in summer 2023 to report data from the previous ice-covered season. ALAMO floats did not have ice-avoidance, in order to ensure that they reported data as long as possible during ice freeze-up. As a result, they will likely not survive over the winter. Future versions if this dataset may include data collected after Fall 2022. Data are available in netCDF format. proprietary
-SASSIE_L2_DRIFTER_UPTEMPO_V1_1 SASSIE Arctic Field Campaign Drifter Hydrography Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-09 2023-03-14 -155.1, 71, -121.8, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2637349379-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature and salinity data collected by surface drifting buoys (called UpTempO or Hydrobuoys, interchangeably) deployed in the Beaufort Sea. Each buoy has a different configuration of sensors, and records to a maximum of 60 m depth. Drifters were left at sea after the completion of the field deployment and are recording data into March 2023. Future versions of this dataset will provide updated data with final quality control and additional parameters. Data are available in netCDF format. proprietary
-SASSIE_L2_DRIFTER_UPTEMPO_V2p_2p SASSIE Arctic Field Campaign Drifter Hydrography Data Fall 2022 Version 2p POCLOUD STAC Catalog 2022-09-09 2023-06-30 -155.1, 71, -121.8, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2775138049-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature and salinity data collected by surface drifting buoys (called UpTempO or Hydrobuoys, interchangeably) deployed in the Beaufort Sea. Each buoy has a different configuration of sensors, and records to a maximum of 60 m depth. Drifters were left at sea after the completion of the field deployment and are recording data into March 2023. Version 2p data has major quality control performed. Data are available in netCDF format. proprietary
-SASSIE_L2_JET_SSP_V1_1 SASSIE Arctic Field Campaign Jet Surface Salinity Profiler Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-10 2022-09-26 -151, 72, -144, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2624096959-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains near-surface air pressure, temperature, and winds, as well as ocean temperature and salinity measurements collected using a Jet Surface Salinity Profiler (Jet-SSP). The Jet-SSP is a remotely operated kayak containing various instrumentation. It moved along various horizontal trajectories each deployment, traveling up to 5 kts as it collected data. Data are available in NetCDF format. proprietary
-SASSIE_L2_PALS_V1_1 SASSIE Arctic Field Campaign PALS Data Fall 2022 POCLOUD STAC Catalog 2022-09-14 2022-09-20 -170.5, 67.46, -138, 75.75 https://cmr.earthdata.nasa.gov/search/concepts/C3147781229-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. The Passive-Active L-Band System (PALS) is an airborne microwave radiometer that senses ocean temperature and surface wind speed. The brightness temperature data is obtained at 1.4GHz using the PALS conical scanner, with the raw data sampled at 1ms and gridded over an approximate 2x2km grid. Several quality control steps were done to remove any scan dependent biases, radio frequency interference, wind-speed dependencies. Calibration of the sensor was done with respect to special aircraft maneuvers as well as in-situ samples. Brightness temperature were converted to salinity via the Klein-Swift salinity retrieval model. Data is available in netCDF format. proprietary
-SASSIE_L2_SBAND_ML_V1_1 SASSIE Arctic Field Campaign Summary Ice Concentration Rankings from ML analysis of SBAND Images Fall 2022 POCLOUD STAC Catalog 2022-09-08 2022-09-30 -170.5, 67.5, -138, 75.5 https://cmr.earthdata.nasa.gov/search/concepts/C3181024015-POCLOUD.umm_json This dataset contains ice concentration rankings of S-band images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Ice concentration rankings ranging from 0 to 3 determined by VGG19 Machine Learning Model. L2 summary data are available in NetCDF format. proprietary
-SASSIE_L2_SHIPBOARD_ADCP_V1_1 SASSIE Arctic Field Campaign Shipboard Acoustic Doppler Current Profiler Data Fall 2022 POCLOUD STAC Catalog 2022-09-08 2022-10-04 -170, 65, -144, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2775118883-POCLOUD.umm_json This dataset contains measurements of shipboard ocean current speed vertical shear from an acoustic doppler current profiler (ADCP) during the Salinity and Stratification at the Sea Ice Edge (SASSIE) field campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. proprietary
-SASSIE_L2_SHIPBOARD_CASTAWAY_CTD_V1_1 SASSIE Arctic Field Campaign Shipboard Castaway CTD Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-09 2022-09-19 -152.5, 72, -145, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2624100570-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains profiles of upper ocean temperature, salinity, and density taken with a Shipboard CastAway Conductivity-Temperature-Depth instrument (CastAway-CTD). A total of 254 profiles were taken over the sampling period at various locations, typically every 30 minutes while the ship was underway, with a mean depth of 45m. Data are available in NetCDF format. proprietary
-SASSIE_L2_SHIPBOARD_DELTA_18O_V1_1 SASSIE Arctic Field Campaign Shipboard Delta-18O Data Fall 2022 POCLOUD STAC Catalog 2022-09-09 2022-10-03 -168.1, 66, -144.8, 73.3 https://cmr.earthdata.nasa.gov/search/concepts/C2675866206-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains delta-18O measurements from sea water and ice. Delta-18O is the ratio of stable isotopes oxygen-18 (18O) and oxygen-16. Water samples were collected from either a GoFlo bottle lowered from the side of the ship, or the outflow of the Salinity Snake. Ice samples (dimension ice_obs) were collected during two ice stations where augur tailings were collected and melted. Data are available in netCDF format. proprietary
-SASSIE_L2_SHIPBOARD_METEOROLOGY_V1_1 SASSIE Arctic Field Campaign Shipboard Meteorology Data Fall 2022 POCLOUD STAC Catalog 2022-08-06 2022-10-01 -166, 69, -144.8, 73.55 https://cmr.earthdata.nasa.gov/search/concepts/C2675923537-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains shipboard meteorology and air-sea flux measurements. Data are available in netCDF format. proprietary
-SASSIE_L2_SHIPBOARD_SALINITY_SNAKE_V1_1 SASSIE Arctic Field Campaign Shipboard Salinity Snake Data Fall 2022 POCLOUD STAC Catalog 2022-09-09 2022-10-03 -168.1, 66, -144.8, 73.6 https://cmr.earthdata.nasa.gov/search/concepts/C2684906861-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains salinity and temperature measurements collected by a shipboard salinity snake. The salinity snake system consisted of a ship-mounted boom with a length of 10m to provide sampling of undisturbed water at a depth of 1-2cm. Salinity data are delayed by 40s, which is the average residence time in the hose, pump, and shipboard system before being analyzed. Data are available in netCDF format. proprietary
-SASSIE_L2_SHIPBOARD_TSG_V1_1 SASSIE Arctic Field Campaign Shipboard Thermosalinograph Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-05 2022-10-03 -169, 64.5, -144, 73.6 https://cmr.earthdata.nasa.gov/search/concepts/C2624105045-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. This dataset contains in-situ ocean temperature and salinity at 4m depth measured via a ship thermosalinograph (TSG). The TSG system consisted of a SBE21 SeaCAT TSG, a SBE38 temperature sensor, and a debubbler. Data are available in netCDF format. proprietary
-SASSIE_L2_SHIPBOARD_UCTD_V1_1 SASSIE Arctic Field Campaign Shipboard uCTD Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-09 2022-09-29 -153, 72.02, -144.5, 73.52 https://cmr.earthdata.nasa.gov/search/concepts/C2622954412-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains in-situ profiles of upper ocean temperature and salinity taken with a Shipboard Underway Conductivity-Temperature-Depth instrument (uCTD). A total of 2,246 profiles were taken over the sampling period, with mean depth of 100 m and mean horizontal spacing between profiles of ~800 m. Profiling with the uCTD typically occurred as the ship was moving at 1-3 m/s. For higher sea ice concentrations (10-30 %), the ship stopped every ~30 minutes to collect a profile. The measurements have been gridded onto a uniformly spaced 0.1 dbar grid from the sea surface to 200 dbar seawater pressure, and collected into a single netCDF file, where each observation in the time dimension corresponds to a single cast. proprietary
-SASSIE_L2_SWIFT_V1_1 SASSIE Arctic Field Campaign SWIFT Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-09 2022-09-30 -153.6, 72, -145.5, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2637402374-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. The Surface Wave Instrument Float with Tracking (SWIFT) drifter is a passive Lagrangian wave-following sensor platform. During the SASSIE deployment, five SWIFT drifters were deployed in September 2022, collecting measurements of salinity, sea surface temperature, waves, and meteorological data. SWIFT drifter buoys contain GPS, a pulse-coherent Doppler velocity profiler, an autonomous meteorological station, and a digital video recorder. Data are available in netCDF format. proprietary
-SASSIE_L2_UNDER_ICE_FLOAT_V1_1 SASSIE Arctic Field Campaign Under Ice Float Fall 2022 Version 1 POCLOUD STAC Catalog 2022-09-10 2022-10-23 -156, 73, -152, 74 https://cmr.earthdata.nasa.gov/search/concepts/C2637328093-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. This dataset contains ocean temperature, salinity, and acoustic range measurements collected by an autonomous under ice float deployed in the Beaufort Sea from September 10, 2022 to October 22, 2022. Data are available in netCDF format. proprietary
-SASSIE_L2_WAVEGLIDERS_V1_1 SASSIE Arctic Field Campaign Wave Glider Data Fall 2022 Version 1 POCLOUD STAC Catalog 2022-08-12 2022-09-30 -156, 70, -142, 73.5 https://cmr.earthdata.nasa.gov/search/concepts/C2637536168-POCLOUD.umm_json The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. Data are available in netCDF format. proprietary
-SASSIE_L3_SHIPBOARD_SBAND_V1_1 SASSIE Arctic Field Campaign Shipboard S-Band Radar Level 3 Data Fall 2022 POCLOUD STAC Catalog 2022-09-08 2022-09-30 -170.5, 67.5, -138, 75.5 https://cmr.earthdata.nasa.gov/search/concepts/C2773222765-POCLOUD.umm_json This dataset contains images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Images were then georeferenced based on range, heading, image orientation, and ship's GPS position. L3 images are available in GeoTIFF format. proprietary
-SASSIE_L4_SHIPBOARD_SBAND_V1_1 SASSIE Arctic Field Campaign Shipboard S-Band Radar Level 4 Data Fall 2022 POCLOUD STAC Catalog 2022-09-08 2022-09-30 -170.5, 67.5, -138, 75.5 https://cmr.earthdata.nasa.gov/search/concepts/C2773232610-POCLOUD.umm_json This dataset contains images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Images were then georeferenced based on range, heading, image orientation, and ship's GPS position. L4 images are available in GeoTIFF format and contain additional processing to classify pixels as sea ice, not sea ice, or not data. proprietary
SAV_Plymouth_Bay_0 Submersed Aquatic Vegetation (SAV) over Buttermilk and Plymouth Bays, Massachusetts OB_DAAC STAC Catalog 2010-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360638-OB_DAAC.umm_json The Compact Hydrographic Airborne Rapid Total Survey (CHARTS) is jointly operated and maintained by the U.S. Army Corps of Engineers and the U.S. Naval Oceanographic Office. This system was flown by JALBTCX over Buttermilk and Plymouth Bays in Massachusetts, USA during Sept. 2010 to study Submersed aquatic vegetation species discrimination using an airborne hyperspectral/lidar system. A large, collaborative ground truth sampling campaign was undertaken. Components included bathymetric surveys, laboratory and diver reflectivity measurements of sediment and SAV, camera and diver SAV surveys, water column IOPs, and pigment sampling. proprietary
SAWB_JRA_713_1 SAFARI 2000 JRA Aerocommander Trace Gas, Aerosol, and CCN Data, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-15 2000-09-07 22.16, -30.19, 33.16, -17.83 https://cmr.earthdata.nasa.gov/search/concepts/C2788386640-ORNL_CLOUD.umm_json As part of the 3rd Intensive Campaign of SAFARI 2000, the South African Weather Bureau Aerocommander, JRA, flew 19 missions, for a total of 28 separate flights conducted between August 15th and September 7th, 2000. JRA worked closely with the other Aerocommander, JRA, and was dedicated to the measurement of trace gas and aerosol properties. A suite of trace analyzers (for O3, SO2, CO and NO), laser aerosol probes and atmospheric probes were present for all flights. Other instruments and sampling units present for some of the flights included, a nephelometer (Elias), CO flasks (Novelli) for MOPITT validation purposes, and VOC canisters for the collection and characterization of volatile organic compounds present over various land surface types. proprietary
SAWB_JRB_714_1 SAFARI 2000 JRB Aerocommander Trace Gas and Aerosol Data, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-15 2000-09-07 22.16, -30.19, 33.16, -17.83 https://cmr.earthdata.nasa.gov/search/concepts/C2788389202-ORNL_CLOUD.umm_json As part of the 3rd Intensive Campaign of SAFARI 2000, the South African Weather Bureau Aerocommander, JRB, flew 19 missions, for a total of 28 separate flights conducted between August 15th and September 7th, 2000. JRB worked closely with the other Aerocommander, JRA, and was dedicated to the measurement of trace gas and aerosol properties. A suite of trace analyzers (for O3, SO2, CO and NO), laser aerosol probes and atmospheric probes were present for all flights. Other instruments and sampling units present for some of the flights included, a nephelometer (Elias), CO flasks (Novelli) for MOPITT validation purposes, and VOC canisters for the collection and characterization of volatile organic compounds present over various land surface types. proprietary
@@ -9923,8 +8752,6 @@ SCAR_B_AERONET_1 Sulfates, Clouds and Radiation Brazil (SCAR-B) AERONET (AErosol
SCAR_B_G8_FIRE_1 Smoke/Sulfates, Clouds and Radiation Experiment in Brazil (SCAR-B) Data Set Version 5.5 LARC_ASDC STAC Catalog 1995-06-01 1995-10-31 -76, -40, -35, 1 https://cmr.earthdata.nasa.gov/search/concepts/C1337195037-LARC_ASDC.umm_json SCAR_B_G8_FIRE data are Smoke/Sulfates, Clouds and Radiation Experiment in Brazil, GOES-8 ABBA Diurnal Fire Product (1995 Fire Season) data.Smoke/Sulfates, Clouds and Radiation - Brazil (SCAR-B) data include physical and chemical components of the Earth's surface, the atmosphere and the radiation field collected in Brazil with an emphasis in biomass burning. SCAR-B, the third SCAR experiment, was completed in September 1995, studied the effects of biomass burning on atmospheric processes and aids in the preparation of new techniques for remote sensing of these processes from space.The objectives for the SCAR mission are: to advance our knowledge of how the physical, chemical and radiative processes in our atmosphere are affected by sulfate aerosol and smoke from biomass burning; to improve our expertise at remotely sensing smoke, water vapor, clouds, vegetation and fires; and to assess the effects of deforestation and biomass burning on tropical landscapes.The Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin-Madison has produced diurnal GOES-8 derived fire products for the 1995 fire season (June-October 1995) with version 5.5 of the GOES-8 Automated Biomass Burning Algorithm (ABBA). The diurnal fire products were produced for 1145, 1445, 1745, and 2045 UTC coinciding with peak burning hours.The GOES-8 Automated Biomass Burning Algorithm (ABBA) fire products are derived from Geostationary Operational Environmental Satellite (GOES)-8 imager radiances from bands 1 (visible), 2 (3.9 micron), and 4 (11 micron). proprietary
SCAR_B_UWC131A_1 Sulfates, Clouds and Radiation Brazil (SCAR-B) University of Washington C131A Data LARC_ASDC STAC Catalog 1995-08-17 1995-09-20 -64.75, -16.85, -47.5, -2.42 https://cmr.earthdata.nasa.gov/search/concepts/C1337195067-LARC_ASDC.umm_json SCAR_B_UWC131A data are Smoke/Sulfates, Clouds and Radiation Experiment in Brazil data from instruments on board the University of Washington C131A aircraft in Native format.Smoke/Sulfates, Clouds and Radiation - Brazil (SCAR-B) data include physical and chemical components of the Earth's surface, the atmosphere and the radiation field collected in Brazil with an emphasis in biomass burning.The objectives for the SCAR mission are: to advance our knowledge of how the physical, chemical and radiative processes in our atmosphere are affected by sulfate aerosol and smoke from biomass burning; to improve our expertise at remotely sensing smoke, water vapor, clouds, vegetation and fires; and to assess the effects of deforestation and biomass burning on tropical landscapes.From 17 August to 20 September 1995, the University of Washington's (UW) Cloud and Aerosol Research Group, with its Convair C-131A research aircraft, participated in an intensive field study of smoke emissions from various types of biomass burning over a large area of Brazil. This included 29 flights to collect measurements and photographs. proprietary
SCAR_EGBAMM_RAATD_2018_Filtered_1 Filtered Data from the Retrospective Analysis of Antarctic Tracking Data Project from the Scientific Committee on Antarctic Research AU_AADC STAC Catalog 1991-01-01 2016-12-31 -180, -90, 180, -20 https://cmr.earthdata.nasa.gov/search/concepts/C1519608644-AU_AADC.umm_json "The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s. This metadata record pertains to the ""filtered"" version of the data files. These files contain position estimates that have been processed using a state-space model in order to estimate locations at regular time intervals. For technical details of the filtering process, consult the data paper. The filtering code can be found in the https://github.com/SCAR/RAATD repository. This data set comprises one metadata csv file that describes all deployments, along with data files (3 files for each of 17 species). For each species there is: - an RDS file that contains the fitted filter model object and model predictions (this file is RDS format that can be read by the R statistical software package) - a PDF file that shows the quality control results for each individual model - a CSV file containing the interpolated position estimates For details of the file contents and formats, consult the data paper. The data are also available in a standardized version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised) that contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations) without state-space filtering." proprietary
-SCATSAT1_ESDR_ANCILLARY_L2_V1.1_1.1 SCATSAT-1 ESDR Level 2 Ancillary Ocean Surface Fields Version 1.1 POCLOUD STAC Catalog 2018-04-01 2021-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2706524255-POCLOUD.umm_json This dataset contains the first science quality release (post-provisional after v1.0) of the MEaSUREs-funded Earth Science Data Record (ESDR) of ancillary data corresponding to the SCATSAT-1 Level 2 (L2) data products, interpolated in space and time to the scatterometer observations. These ancillary files include: i) ocean surface wind fields from ERA-5 short-term forecast (removed from the analyses times to reduce impacts from assimilated scatterometer retrievals at the beginning of the forecast); ii) collocated in space and time estimations of precipitation from the GPM IMERG product; iii) estimation of the surface currents from the GlobCurrent project. These auxiliary fields are included to complement the scatterometer observation fields and to help in the evaluation process. The modeled ocean surface auxiliary fields are provided on a non-uniform grid within the native L2 SCATSAT-1 sampled locations at a nominal 12.5 km pixel resolution. Each file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit.
The dataset represents the first science quality release of this product with funding from the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) improved variable metadata, 2) removed the GlobCurrent stokes drift variables, and 3) provided data source metadata including DOIs for the ERA-5, IMERGE, and GlobCurrent data sources. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST). proprietary
-SCATSAT1_ESDR_L2_WIND_STRESS_V1.1_1.1 SCATSAT-1 Scatterometer Inter-Calibrated ESDR Level 2 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Vectors Version 1.1 POCLOUD STAC Catalog 2018-04-01 2021-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2706520933-POCLOUD.umm_json This dataset contains ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations aboard ScatSat-1, representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. This product from ScatSat-1 has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, MetOp-B, and QuikScat satellites. The wind vector and stress retrievals are provided on a non-uniform grid within the swath (Level 2 (L2) products) at 12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit.
The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) increased data coverage, 2) improved quality control, and 3) new global metadata attributes featuring revolution number, equator crossing longitude, and equator crossing time (UTC). The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST). proprietary
SCI_NL__1P_NA Envisat SCIAMACHY Geo-located atmospheric spectra [SCI_NL__1P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336947-ESA.umm_json This data product covers geo-located, radiometrically and spectrally calibrated limb and nadir radiance spectra for Nadir, Limb, and Occultation measurements with additional monitoring and calibration measurements. The Level 1b product is the lowest level of SCIAMACHY data delivered to the users. The instrument Instantaneous Field of View (IFoV) is approximately 0.045 deg (scan direction) x 1.8 deg (flight direction). This corresponds to a ground pixel size of 25 Km x 0.6 km at the sub-satellite point (nadir) and of 103 km x 2.6 km at the Earth's horizon (limb). Nadir measurements have a maximum swath width of 960 km (in scan direction) and a typical footprint of 30 km (along track) x 60 km (across track). Limb measurements have a tangent height range spanning from 0 to 100 km with 3 km vertical resolution. Azimuth scans are performed for constant elevation angle, typically 34 elevation steps per limb scan. Maximum azimuth range is +/- 44 deg relative to S/C velocity (Note that the azimuth range is adjusted to observe the same atmospheric volume as for nadir measurements within five minutes). The radiometric resolution is 16 bits, with a spectral resolution of 0.24 nm to 1.5 nm, depending on the spectral range. The Sun normalized radiometric accuracy is 2 to 3% in unpolarized light, and 3 to 4% in polarized light. The relative radiometric accuracy is less than 1% and the spectral accuracy spans form 0.005 nm to 0.035 nm. Individual measurements from dedicated monitoring states include: Sun over diffuser Subsolar calibration Spectral lamp measurements White light source measurements Elevation mirror monitoring (Sun/Moon) ADC calibration Level 1b products are corrected for degradation applying a scan mirror model and m-factors. The latest Level 1b dataset is version 8.0X. proprietary
SCI_OL__2P_NA Envisat SCIAMACHY Total column densities and stratospheric profiles [SCI_OL__2P] ESA STAC Catalog 2002-08-02 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336948-ESA.umm_json The data product provides global column distributions and stratospheric profiles of various trace gases. Total column densities of O3, NO2, OClO, H2O, SO2, BrO, CO, HCHO, CHOCHO and CH4 are retrieved from Nadir measurements. Additional cloud parameters (fractional cloud coverage, cloud-top height, cloud optical thickness) and an aerosol absorption indicator are enclosed. Stratospheric profiles of O3, NO2, and BrO are derived from limb measurements, also with flagging information for cloud-types. Tropospheric NO2 columns are retrieved combining limb and nadir measurements. The latest Level 2 dataset is version 6.01. proprietary
SCMRN5L1RAD_001 SCMR/Nimbus-5 Level 1 Calibrated and Geolocated Radiances V001 (SCMRN5L1RAD) at GES DISC GES_DISC STAC Catalog 1972-12-11 1972-12-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2257303503-GES_DISC.umm_json SCMRN5L1RAD is the Nimbus-5 Surface Composition Mapping Radiometer (SCMR) Level 1 Calibrated and Geolocated Radiances data product. SCMR measured (1) terrestrial radiation in the 8.3 to 9.3 micron and 10.2 to 11.2 micron intervals and (2) reflected solar radiation in the 0.8 to 1.1 micron range. Surface composition and sea surface temperatures could be obtained from these measurements. The SCMR had an instantaneous field of view (FOV) of 0.6 mrad, equivalent to a ground resolution of 660 m at nadir. The scan mirror rotated at 10 rps to provide scan lines 800 km wide across the spacecraft track. Data are available from December 11, 1972 through December 30, 1972. A modified version of this instrument, the Heat Capacity Mapping Radiometer, was flown on the Heat Capacity Mapping Mission (HCMM) in 1978. proprietary
@@ -9956,12 +8783,10 @@ SEAC4RS_Sondes_Data_1 SEAC4RS Radiosonde/Ozonesonde Data LARC_ASDC STAC Catalog
SEAC4RS_TraceGas_AircraftInSitu_DC8_Data_1 SEAC4RS DC-8 Aircraft In-Situ Trace Gas Data LARC_ASDC STAC Catalog 2013-08-02 2013-09-24 -127, 19, -79, 51 https://cmr.earthdata.nasa.gov/search/concepts/C2119341669-LARC_ASDC.umm_json SEAC4RS_TraceGas_AircraftInSitu_DC8_Data are in-situ trace gas data collected onboard the DC8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest. proprietary
SEAC4RS_TraceGas_AircraftInSitu_ER2_Data_1 SEAC4RS ER-2 Aircraft In-Situ Trace Gas Data LARC_ASDC STAC Catalog 2013-08-01 2013-09-23 -128, 15, -82, 53 https://cmr.earthdata.nasa.gov/search/concepts/C2119341690-LARC_ASDC.umm_json SEAC4RS_TraceGas_AircraftInSitu_ER2_Data are in-situ trace gas data collected onboard the ER-2 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest. proprietary
SEAC4RS_jValue_AircraftInSitu_DC8_Data_1 SEAC4RS DC-8 Aircraft In-Situ Photolysis Rate Data LARC_ASDC STAC Catalog 2013-08-02 2013-09-24 -127, 19, -80, 51 https://cmr.earthdata.nasa.gov/search/concepts/C2119341667-LARC_ASDC.umm_json SEAC4RS_jValue_AircraftInSitu_DC8_Data are in-situ photolysis rate (j value) data collected onboard the DC8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest. proprietary
-SEAGLIDER_GUAM_2019_V1 Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) POCLOUD STAC Catalog 2019-10-03 2020-01-15 143.63035, 13.39476, 144.613, 14.71229 https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.umm_json This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington. proprietary
SEAHAWK_VALIDATION_0 Continuing the Mission: SeaHawk-1 Ocean Color CubeSat Nanosatellite OB_DAAC STAC Catalog 2022-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2639478178-OB_DAAC.umm_json Satellite validation work related to the SeaHawk Ocean Color CubeSat mission. This is a partnership between NASA, UNCW, UGA, ACC Clyde Space and Cloudland instruments. The project was funded by the Gordon and Betty Moore Foundation (grant number 11171) for years 2022-2025. proprietary
SEASAT_SAR_L1_HDF5_1 SEASAT_SAR_LEVEL1_HDF5 ASF STAC Catalog 1978-07-04 1978-10-11 164.882812, 2.811371, 163.125, 77.235074 https://cmr.earthdata.nasa.gov/search/concepts/C1206500991-ASF.umm_json SEASAT Image Level 1 proprietary
SEASAT_SAR_L1_TIFF_1 SEASAT_SAR_LEVEL1_GEOTIFF ASF STAC Catalog 1978-07-04 1978-10-11 164.882812, 2.811371, 163.125, 77.235074 https://cmr.earthdata.nasa.gov/search/concepts/C1206500826-ASF.umm_json SEASAT Image GeoTIFF proprietary
SEA_0 Northwest Atlantic and northeast Pacific oceans measurements collected during Sea Education Association (SEA) cruises OB_DAAC STAC Catalog 2008-02-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360654-OB_DAAC.umm_json Measurements made in the northwest Atlantic and northeast Pacific oceans between 2008 and 2009. proprietary
-SEA_SURFACE_HEIGHT_ALT_GRIDS_L4_2SATS_5DAY_6THDEG_V_JPL2205_2205 MEaSUREs Gridded Sea Surface Height Anomalies Version 2205 POCLOUD STAC Catalog 1992-10-01 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2270392799-POCLOUD.umm_json This dataset provides gridded Sea Surface Height Anomalies (SSHA) above a mean sea surface, on a 1/6th degree grid every 5 days. It contains the fully corrected heights, with a delay of up to 3 months. The gridded data are derived from the along-track SSHA data of TOPEX/Poseidon, Jason-1, Jason-2, Jason-3 and Jason-CS (Sentinel-6) as reference data from the level 2 along-track data found at https://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_CYCLES_V51, plus ERS-1, ERS-2, Envisat, SARAL-AltiKa, CryoSat-2, Sentinel-3A, Sentinel-3B, depending on the date, from the RADS database. The date given in the grid files is the center of the 5-day window. The grids were produced from altimeter data using Kriging interpolation, which gives best linear prediction based upon prior knowledge of covariance. proprietary
SEED_0 SEED Project Gulf of Mexico optical data OB_DAAC STAC Catalog 2004-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360658-OB_DAAC.umm_json Measurements made in the northern region of the Gulf of Mexico between 2004 and 2005. proprietary
SEN12-FLOOD : A SAR and Multispectral Dataset for Flood Detection_1 SEN12-FLOOD : A SAR and Multispectral Dataset for Flood Detection MLHUB STAC Catalog 2020-01-01 2023-01-01 -13.278254, -33.943938, 146.948841, 37.065062 https://cmr.earthdata.nasa.gov/search/concepts/C2781412140-MLHUB.umm_json These last decades, Earth Observation brought quantities of new perspectives from geosciences to human activity monitoring. As more data became available, artificial intelligence techniques led to very successful results for understanding remote sensing data. Moreover, various acquisition techniques such as Synthetic Aperture Radar (SAR) can also be used for problems that could not be tackled only through optical images. This is the case for weather-related disasters such as floods or hurricanes, which are generally associated with large clouds cover. Yet, machine learning on SAR data is still considered challenging due to the lack of available labeled data. This dataset is composed of co-registered optical and SAR images time series for the detection of flood events. proprietary
SEN12TS: A SAR and Multispectral Dataset for Land Cover Classification_1 SEN12TS: A SAR and Multispectral Dataset for Land Cover Classification MLHUB STAC Catalog 2020-01-01 2023-01-01 -122.0631404, -5.9289408, 106.1059811, 43.5119215 https://cmr.earthdata.nasa.gov/search/concepts/C2781411997-MLHUB.umm_json The SEN12TS dataset contains Sentinel-1, Sentinel-2, and labeled land cover image triplets over six agro-ecologically diverse areas of interest: California, Iowa, Catalonia, Ethiopia, Uganda, and Sumatra. Using the Descartes Labs geospatial analytics platform, 246,400 triplets are produced at 10m resolution over 31,398 256-by-256-pixel unique spatial tiles for a total size of 1.69 TB. The image triplets include radiometric terrain corrected synthetic aperture radar (SAR) backscatter measurements; interferometric synthetic aperture radar (InSAR) coherence and phase layers; local incidence angle and ground slope values; multispectral optical imagery; and decameter-resolution land cover data. Moreover, sensed imagery is available in timeseries: Within an image triplet, radar-derived imagery is collected at four timesteps 12 days apart. For the same spatial extent, up to 16 image triplets are available across the calendar year of 2020.
The SEN12TS documentation demonstrates two initial use cases for the dataset. The first transforms radar imagery into enhanced vegetation indices by means of a generative adversarial network, and the second tests combinations of input imagery for cropland classification. proprietary
@@ -10003,9 +8828,6 @@ SENTINEL-1_INTERFEROGRAMS_AMPLITUDE_1 Sentinel-1 Interferograms - Amplitude ASF
SENTINEL-1_INTERFEROGRAMS_COHERENCE_1 Sentinel-1 Interferograms - Coherence ASF STAC Catalog 2014-06-15 -165.6942, 18.84486, -103.6, 55.19449 https://cmr.earthdata.nasa.gov/search/concepts/C1596065639-ASF.umm_json Sentinel-1 SLC interferometric products generated by JPL using ISCE v2.0.0, delivered by ASF proprietary
SENTINEL-1_INTERFEROGRAMS_CONNECTED_COMPONENTS_1 Sentinel-1 Interferograms - Connected Components ASF STAC Catalog 2014-06-15 -165.6942, 18.84486, -103.6, 55.19449 https://cmr.earthdata.nasa.gov/search/concepts/C1596065641-ASF.umm_json Sentinel-1 SLC interferometric products generated by JPL using ISCE v2.0.0, delivered by ASF proprietary
SENTINEL-1_INTERFEROGRAMS_UNWRAPPED_PHASE_1 Sentinel-1 Interferograms - Unwrapped Phase ASF STAC Catalog 2014-06-15 -165.6942, 18.84486, -103.6, 55.19449 https://cmr.earthdata.nasa.gov/search/concepts/C1595765183-ASF.umm_json Sentinel-1 SLC interferometric products generated by JPL using ISCE v2.0.0, delivered by ASF proprietary
-SEVIRI_IO_SST-OSISAF-L3C-v1.0_1.0 GHRSST Level 3C Indian-Ocean (IO) sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG in GDS2 format produced by OSISAF POCLOUD STAC Catalog 2017-03-28 -18.5, -60, 101.5, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2036877550-POCLOUD.umm_json This dataset is produced by the Ocean and Sea Ice Satellite Application Facility (OSI SAF) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) instrument onboard the Meteosat Second Generation (MSG-1), Meteosat-8 satellite (launched on 28 August 2002). The dataset covers the Indian Ocean region with latitude of 60S-60N and longitude of 101.5E-18.5W. Level-3C SST, in the NetCDF format recommended by Group for High Resolution Sea Surface Temperature (GHRSST), is identical to Level-2P GHRSST products, 3 refers to gridded products and C to the fact that hourly products result from compositing 15 minutes (MSG) or 30 minutes (GOES-E) data. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), OSI SAF is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating all 15-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2. proprietary
-SEVIRI_SST-OSISAF-L3C-v1.0_1 GHRSST Level 3C Atlantic sub-skin Sea Surface Temperature from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on MSG at 0 degree longitude (GDS V2) produced by OSI SAF POCLOUD STAC Catalog 2004-06-01 -60, -60, 60, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2036878243-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Eastern Atlantic Region from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-3) satellites (launched 5 July 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from MSG/SEVIRI. SEVIRI level 1.5 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 60W-60E) SST fields obtained by aggregating all 15 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2. proprietary
-SEVIRI_SST_DR-OSISAF-L3C-v1.0_1.0 GHRSST L3C hourly Atlantic reprocessed sub-skin sea surface temperature data record v1.0 from SEVIRI on MSG produced by OSISAF POCLOUD STAC Catalog 2004-01-19 2012-12-31 -60, -60, 60, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2157151105-POCLOUD.umm_json A Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Eastern Atlantic Region from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the MSG satellites (Meteosat-8 and Meteosat-9). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) has reprocessed SST products in (long) delayed-mode from MSG/SEVIRI. SST is retrieved from the SEVIRI infrared channels (10.8 and 12.0 micrometer) using a multispectral algorithm and the cloud mask (CM) from OSI SAF. Atmospheric profiles of water vapor and temperature from a numerical weather prediction (NWP) model, OSTIA Sea Surface Temperature re-analysis and analysis, together with a radiative transfer model (RTTOV), are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 15-minute slot is processed at full satellite resolution. The products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 60W-60E) SST fields obtained by aggregating all available 15-minute SST data into hourly files with priority being given to the value closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2. proprietary
SFC_NITROGEN_DIOXIDE_CONC_1 Nitrogen Dioxide Surface-Level Annual Average Concentrations V1 (SFC_NITROGEN_DIOXIDE_CONC) at GES DISC GES_DISC STAC Catalog 1990-01-01 2020-12-31 -180, -60, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2622658960-GES_DISC.umm_json The Nitrogen Dioxide Surface-Level Annual Average Concentrations Product (SFC_NITROGEN_DIOXIDE_CONC) contains estimated global NO2 surface values derived using a Land Use Regression (LUR) model (based on 5220 NO2 monitors in 58 countries and land use variables) for the years 2010-2012. NO2 column densities from the Ozone Monitoring Instrument and MERRA-2 scale the concentrations to other years between 1990 and 2020. This product is part of NASA's Health and Air Quality Applied Sciences Team (HAQAST) effort. The data are global over land and span the latitude range between 60 south and 75 north, gridded at 0.0083 degree resolution (array size is 43080 x 16200). Data variables include surface NO2, as well as latitude and longitude values. The data are written to files using the new version 4 netCDF format. The average file size is about 150 Megabytes. proprietary
SFMBON_0 South Florida Marine Biodiversity Observation Network (SFMBON) OB_DAAC STAC Catalog 2015-07-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1934268141-OB_DAAC.umm_json The South Florida Marine Biodiversity Observation Network (SFMBON) build on the foundations laid by the present Sanctuaries MBON demonstration. A close partnership with NOAA AOML and the FKNMS has focused on periodic MBON surveys of the Florida Keys since 2014. The South Florida MBON seeks to integrate ground and satellite observations related to biodiversity to inform ecosystem-based management in and around the Florida Keys National Marine Sanctuary (FKNMS). proprietary
SFP_0 South Florida Program (SFP) OB_DAAC STAC Catalog 2012-02-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360659-OB_DAAC.umm_json South Florida Program (SFP) proprietary
@@ -10073,14 +8895,8 @@ SIR-C_PRECISION_Not provided Spaceborne Imaging Radar-C Precision USGS_LTA STAC
SIRSN3L1_001 SIRS/Nimbus-3 Level 1 Radiance Data V001 (SIRSN3L1) at GES DISC GES_DISC STAC Catalog 1969-04-14 1970-06-19 -180, -80.15, 180, 80.15 https://cmr.earthdata.nasa.gov/search/concepts/C1622768257-GES_DISC.umm_json SIRSN3L1 is the Nimbus-3 Satellite Infrared Spectrometer (SIRS) Level 1 Radiance Data product. SIRS measured infrared radiation (11 to 36 micrometers) emitted from the earth and its atmosphere in 13 selected spectral intervals in the carbon dioxide and water vapor bands plus one channel in the 11-micrometer atmospheric window. The radiances were used to determine the vertical temperature and water vapor profiles of the atmosphere. The data were recovered from the original 6250 tapes, and are now stored online as daily files in their original proprietary binary format each with about 14 orbits per day. The Nimbus-3 SIRS only viewed the nadir of the subsatellite track. Spatial coverage is near global from about latitude -80 to +80 degrees. The data are available from 08 April 1970 (day of year 98) to 08 April 1971. The principal investigator for the SIRS experiment was Dr. David Q. Wark from the NOAA National Environmental Satellite Data and Information Service. This product was previously available from the NSSDC with the identifier ESAD-00130 (old ID 70-025A-04A). proprietary
SIRSN4L1_001 SIRS/Nimbus-4 Level 1 Radiance Data V001 (SIRSN4L1) at GES DISC GES_DISC STAC Catalog 1970-04-08 1971-04-08 -180, -85, 180, 85 https://cmr.earthdata.nasa.gov/search/concepts/C1622768259-GES_DISC.umm_json SIRSN4L1 is the Nimbus-4 Satellite Infrared Spectrometer (SIRS) Level 1 Radiance Data product. SIRS measured infrared radiation (11 to 36 micrometers) emitted from the earth and its atmosphere in 13 selected spectral intervals in the carbon dioxide and water vapor bands plus one channel in the 11-micrometer atmospheric window. The radiances were used to determine the vertical temperature and water vapor profiles of the atmosphere. The data were recovered from the original 6250 tapes, and are now stored online as daily files in their original proprietary binary format each with about 14 orbits per day. The Nimbus-4 SIRS used a scan mirror to observe 12.5 deg to either side of the subsatellite track. Spatial coverage is near global from latitude -85 to +85 degrees. The data are available from 08 April 1970 (day of year 98) to 08 April 1971. The principal investigator for the SIRS experiment was Dr. David Q. Wark from the NOAA National Environmental Satellite Data and Information Service. This product was previously available from the NSSDC with the identifier ESAD-00130 (old ID 70-025A-04A). proprietary
SISTER_Workflow_V004_2335_4 SISTER: Experimental Workflows, Product Generation Environment, and Sample Data, V004 ORNL_CLOUD STAC Catalog 2011-05-13 2018-01-26 -158.05, 21.2, -107.96, 39.08 https://cmr.earthdata.nasa.gov/search/concepts/C3114843226-ORNL_CLOUD.umm_json The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER workflow capable of generating experimental sample data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, and snow, (b) the archived algorithm steps (as OGC Application Packages) used to generate products at each step of the workflow, (c) a small number of experimental sample data products produced by the workflow which are based on the Airborne Visible/Infrared Imaging Spectrometer-Classic (AVIRIS or AVIRIS-CL) instrument, and (d) instructions for reproducing the sample products included in this dataset. DISCLAIMER: This collection contains experimental workflows, experimental community algorithms, and experimental sample data products to demonstrate the capabilities of an end-to-end processing system. The experimental sample data products provided have not been fully validated and are not intended for scientific use. The community algorithms provided are placeholders which can be replaced by any user's algorithms for their own science and application interests. These algorithms should not in any capacity be considered the algorithms that will be implemented in the upcoming Surface Biology and Geology mission. proprietary
-SIZEX-89-SAR_Not provided Airborne X- and C-band SAR Images of Sea Ice in the Barents Sea SCIOPS STAC Catalog 1989-02-15 1989-02-27 15, 74, 25, 77 https://cmr.earthdata.nasa.gov/search/concepts/C1214584391-SCIOPS.umm_json SIZEX-89 was an official pre-launch ERS-1 program where the main objectives were to perform ERS-1 type sensors signature studies of different ice types in order to develop SAR algorithms for ice variables such as ice types, ice concentrations and ice kinematics. SIZEX-89 was a multidisciplinary, international winter experiment carried out in the Barents and the Greenland Seas during February and March 1989. During the experiment, 130 CCT tape of airborne X-band and C-band SAR data were obtained by the CCRS CV-580 in the Barents Sea, in February 1989. Remote Sensing, oceanographical, ocean acoustical, meteorological and sea ice data were collected. Several platforms were used: one ice-strengthened vessel (R/V Polarbjorn), one open ocean ship (R/V Hakon Mosby), helicopter drifting buoys, bottom-moored buoys, aircraft and satellites (NOAA, DMSP). In addition to data collection, an ice-forecasting model was run operationally to predict ice motion, ice thickness and ice concentration. The integrated data set obtained in SIZEX-89 is a pilot data set suitable to develop and improve methods for ice monitoring and prediction. proprietary
SLAR_Not provided Side Looking Airborne Radar (SLAR) Imagery USGS_LTA STAC Catalog 1980-07-18 1993-11-30 -180, 24, -60, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1220566112-USGS_LTA.umm_json Side-Looking Airborne Radar (SLAR) imagery is available from the U.S. Geological Survey (USGS) for selected project areas in the conterminous United States and Alaska. Data are X-band synthetic aperture radar (horizontally transmitted, horizontally received) with the exception of some test sites. Coverage was contracted on a yearly basis. The USGS SLAR images most often consist of contact strip images and 1:250,000-scale, map-controlled mosaics. Greater than half of the available SLAR image strips are distributed on 8-mm cassettes, while some image strips are distributed on CD-ROM. In addition, ancillary products such as indexes (on paper, film, or microfiche) and custom photographic products may also be available. Due to the geographically non-searchable nature of the SLAR inventory, customer assistance may be obtained to determine availability of SLAR data over the user's area of interest. Customer knowledge of USGS 1:250,000-scale map names is beneficial in expediting orders. A scale of 1:50,000 only applies to Alaska coverage. proprietary
SLOPE_GPP_CONUS_1786_1 MODIS-based GPP, PAR, fC4, and SANIRv estimates from SLOPE for CONUS, 2000-2019 ORNL_CLOUD STAC Catalog 2000-01-01 2020-01-01 -155.57, 19.99, -52.22, 50.01 https://cmr.earthdata.nasa.gov/search/concepts/C2266194621-ORNL_CLOUD.umm_json This dataset contains estimated gross primary productivity (GPP), photosynthetically active radiation (PAR), soil adjusted near infrared reflectance of vegetation (SANIRv), the fraction of C4 crops in vegetation (fC4), and their uncertainties for the conterminous United States (CONUS) from 2000 to 2019. The daily estimates are SatelLite Only Photosynthesis Estimation (SLOPE) products at 250-m resolution. There are three distinct features of the GPP estimation algorithm: (1) SLOPE couples machine learning models with MODIS atmosphere and land products to accurately estimate PAR, (2) SLOPE couples gap-filling and filtering algorithms with surface reflectance acquired by both Terra and Aqua MODIS satellites to derive a soil-adjusted NIRv (SANIRv) dataset, and (3) SLOPE couples a temporal pattern recognition approach with a long-term Crop Data Layer (CDL) product to predict dynamic C4 crop fraction. PAR, SANIRv and C4 fraction are used to drive a parsimonious model with only two parameters to estimate GPP, along with a quantitative uncertainty, on a per-pixel and daily basis. The slope GPP product has an R2 = 0.84 and a root-mean-square error (RMSE) of 1.65 gC m-2 d-1. proprietary
-SMAP_JPL_L2B_NRT2_SSS_CAP_V5_5.0 JPL SMAP Level 2B Near Real-time CAP Sea Surface Salinity V5.0 Validated Dataset (2 hour latency) POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2681262364-POCLOUD.umm_json The SMAP-SSS V5.0, level 2B (NRT CAP) dataset produced by the Jet Propulsion Laboratory Combined Active-Passive (CAP) project , is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) and extreme winds, derived from the NASA's Soil Moisture Active Passive (SMAP) mission launched on January 31, 2015. This mission, initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle.
The dataset includes derived SMAP SSS, SSS uncertainty, wind speed and direction data for extreme winds, as well as brightness temperatures for each radiometer polarization. Furthermore, it contains ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. This broad range of parameters stems from the observatory's version 5.0 (V5) CAP retrieval algorithm, initially developed for the Aquarius/SAC-D mission and subsequently extended to SMAP. Datafrom April 1, 2015 to present, is available with a latency of about 6 hours. The observations are global, provided on a 25km swath grid with an approximate spatial resolution of 60 km. Each data file covers one 98-minute orbit, with 15 files generated per day. The data are based on the near-real-time SMAP V5 Level-1 Brightness Temperatures (TB) and benefits from an enhanced calibration methodology, which improves the absolute radiometric calibration and minimizes biases between ascending and descending passes. These improvements also enrich the applicability of SMAP Level-1 data for other uses, such as further sea surface salinity and wind assessments. Due to a malfunction of the SMAP scatterometer on July 7, 2015, collocated wind speed data has been utilized for the necessary surface roughness correction for salinity retrieval.
This JPL SMAP-SSS V5.0 dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature, it achieves global coverage in approximately three days , enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth’s hydrological cycle, ocean circulation, and climate change. proprietary
-SMAP_JPL_L2B_NRT_SSS_CAP_V5_5.0 JPL SMAP Level 2B Near Real-time CAP Sea Surface Salinity V5.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208418228-POCLOUD.umm_json This is the PI-produced JPL SMAP-SSS V5.0, level 2B NRT CAP, validated sea surface salinity (SSS) and extreme winds orbital/swath product from the NASA Soil Moisture Active Passive (SMAP) observatory available in near real-time with a latency of about 6 hours. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. The JPL SMAP-SSS L2B CAP NRT product includes data for a range of parameters: derived SMAP sea surface salinity, SSS uncertainty and wind speed/direction data for extreme winds, brightness temperatures for each radiometer polarization, ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing, with a 6 hour latency in processing and availability. Observations are global in extent and provided at 25km swath grid with an approximate spatial resolution of 60 km.The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_JPL_L2B_SSS_CAP_V5_5.0 JPL SMAP Level 2B CAP Sea Surface Salinity V5.0 Validated Dataset POCLOUD STAC Catalog 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208420167-POCLOUD.umm_json This is the PI-produced JPL SMAP-SSS V5.0, level 2B CAP, validated sea surface salinity (SSS) and extreme winds orbital/swath product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. The JPL SMAP-SSS L2B CAP product includes data for a range of parameters: derived SMAP sea surface salinity, SSS uncertainty and wind speed/direction data for extreme winds, brightness temperatures for each radiometer polarization, ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing, with a 3 day latency in processing and availability. Observations are global in extent and provided at 25km swath grid with an approximate spatial resolution of 60 km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_JPL_L3_SSS_CAP_8DAY-RUNNINGMEAN_V5_5.0 JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.0 Validated Dataset POCLOUD STAC Catalog 2015-04-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208422957-POCLOUD.umm_json This is the PI-produced JPL SMAP-SSS V5.0 CAP, 8-day running mean, level 3 mapped, sea surface salinity (SSS) product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. Daily data files for this L3 product are based on SSS averages spanning an 8-day moving time window. Associated file variables include: derived SSS with associated uncertainties and wind speed data from SMAP, ancillary ice concentration and HYCOM surface salinity data. SMAP data begins on April 1, 2015 and is ongoing, with a 7-day latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with an approximate spatial resolution of 60km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_JPL_L3_SSS_CAP_MONTHLY_V5_5.0 JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image Monthly V5.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208423975-POCLOUD.umm_json This is the PI-produced JPL SMAP-SSS V5.0 CAP, level 3, monthly mapped sea surface salinity (SSS) product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. L3 monthly product file variables include: derived SSS with associated uncertainties and wind speed from SMAP and ancillary surface salinity from HYCOM. SMAP data begins on April 1, 2015 and is ongoing, with a 1 month latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with an approximate spatial resolution of 60km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July for the surface roughness correction required for the surface salinity retrieval. proprietary
SMAP_L1_L3_ANC_GEOS_1 Soil Moisture Active Passive (SMAP) L1-L3 Ancillary GEOS Data V001 NSIDC_ECS STAC Catalog 2015-01-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1539078443-NSIDC_ECS.umm_json This ancillary SMAP product contains three dynamic GMAO GEOS-5 modeled data sets. Each data set contains surface and atmospheric parameters pertinent to SMAP provided in 1) hourly, 2) 3-hour, and 3) averaged over 3-hour intervals. proprietary
SMAP_L1_L3_ANC_NOAA_1 Soil Moisture Active Passive (SMAP) L1-L3 Ancillary NOAA Data V001 NSIDC_ECS STAC Catalog 2015-01-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1539129339-NSIDC_ECS.umm_json This ancillary SMAP product contains six dynamic data sets originally produced by NOAA or NOAA-affiliated organizations. 1) NCEP Geophysical Forecast System modeled data provided in 6-hour time steps 2) Daily Reynolds Sea Surface Temperature data 3) Snow Cover data from NOAA Interactive Multisensor Snow and Ice Mapping System 4) NOAA Solar Radio Flux 5) GPS-derived total electron content used to compute the Faraday rotation correction for the SMAP radar 6) Instantaneous wave height measures proprietary
SMAP_L1_L3_ANC_SATELLITE_1 Soil Moisture Active Passive (SMAP) L1-L3 Ancillary Satellite Data V001 NSIDC_ECS STAC Catalog 2015-01-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1539129338-NSIDC_ECS.umm_json This ancillary SMAP product contains two dynamic data sets describing 1) the attitude and 2) the trajectory of the SMAP satellite. The data files are generated using quaternions from the SMAP spacecraft and inputs from earth receiving stations, respectively. proprietary
@@ -10102,64 +8918,10 @@ SMAP_L4_SM_ANC_LOG_1 Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancill
SMAP_L4_SM_ANC_PARAM_1 Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary LDAS Parameters Files V001 NSIDC_ECS STAC Catalog 2015-01-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1539063295-NSIDC_ECS.umm_json This ancillary SMAP product contains three dynamic Land Data Assimilation Systems (LDAS) data sets. These data sets include Brightness Temperature (TB) scaling parameters; catchment model parameters such as topographic statistics, soil texture, and soil hydraulic parameters; and LDAS L-band microwave radiative transfer model parameters. proprietary
SMAP_L4_SM_ANC_RIP_1 Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Run Time Input Parameters V001 NSIDC_ECS STAC Catalog 2015-01-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1539068952-NSIDC_ECS.umm_json This ancillary SMAP product contains Land Data Assimilation Systems (LDAS) model configurations, including model inputs. proprietary
SMAP_L4_SM_ANC_RST_1 Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Restart Files V001 NSIDC_ECS STAC Catalog 2015-01-31 -180, -86.4, 180, 86.4 https://cmr.earthdata.nasa.gov/search/concepts/C1539068951-NSIDC_ECS.umm_json This ancillary SMAP product contains static restart files for the Land Data Assimilation Systems (LDAS) Catchment model. This product includes prognostic variables for both the catchment model and perturbations model. proprietary
-SMAP_RSS_L2_SSS_NRT_V5_5.0 RSS SMAP Level 2C Sea Surface Salinity NRT V5.0 Validated Dataset POCLOUD STAC Catalog 2022-07-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2646960543-POCLOUD.umm_json The SMAP-SSS level 2C near real-time (NRT) V5.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. SMAP, launched on January 31, 2015, was initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles, and has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle.
The dataset includes derived SMAP SSS, SSS uncertainty using the NRT SMAP Salinity Retrieval Algorithm, top of atmosphere brightness temperature (TB), wind speed and direction data for extreme winds, and other all necessary ancillary data and the results of all intermediate steps. Data from July 28, 2022 to present, is available with a latency of about 6 hours. The observations are global, provided on a 0.25° fixed Earth grid with an approximate spatial resolution of 70 km. The major differences to the standard version 5.0 data products are: (1) the NRT version of the L1B SMAP antenna temperatures is used, (2) the latest 6-hourly 0.25° wind speed and direction are used for the ancillary wind speed and direction input, (3) the CMC SST from 2 days earlier is used for the ancillary SST input, (4) the sea-ice mask of the 3-day aggregate RSS AMSR-2 Air-Sea Essential Climate Variables (AS-ECV) data set from 2-days earlier is used for the sea-ice flag, (5) no correction for sea-ice contamination is performed, it is recommended to use only SMAP data that are classified to be within sea-ice zone 0 for open ocean scene and no sea-ice contamination.
This RSS SMAP-SSS V5.0 NRT dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature with its 1000km swath, it achieves global coverage in approximately three days, enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth’s hydrological cycle, ocean circulation, and climate change. proprietary
-SMAP_RSS_L2_SSS_NRT_V6_6.0 RSS SMAP Level 2C Sea Surface Salinity NRT V6.0 Validated Dataset POCLOUD STAC Catalog 2022-07-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2832224417-POCLOUD.umm_json The SMAP-SSS level 2C near real-time (NRT) V6.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides near real-time orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. SMAP, launched on January 31, 2015, was initially designed to measure and map Earth's soil moisture and freeze/thaw state to better understand terrestrial water, carbon and energy cycles, and has been adapted to measure ocean SSS and ocean wind speed using its passive microwave instrument. The SMAP instrument is in a near polar orbiting, sun synchronous orbit with a nominal 8 day repeat cycle.
The dataset includes derived SMAP SSS, SSS uncertainty using the NRT SMAP Salinity Retrieval Algorithm, top of atmosphere brightness temperature (TB), wind speed and direction data for extreme winds, and other all necessary ancillary data and the results of all intermediate steps. The observations are global, provided on a 0.25° fixed Earth grid with an approximate spatial resolution of 70 km. The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. Each data file covers one 98-minute orbit (15 files per day), is available in netCDF-4 file format with about 5 hours l atency.
This RSS SMAP-SSS V6.0 NRT dataset holds tremendous potential for scientific research and various applications. Given the SMAP satellite's near-polar orbit and sun-synchronous nature with its 1000km swath, it achieves global coverage in approximately three days, enabling researchers to monitor and model global oceanic and climatic phenomena with unprecedented detail and timeliness. These data can inform and enhance understanding of global weather patterns, the Earth’s hydrological cycle, ocean circulation, and climate change. proprietary
-SMAP_RSS_L2_SSS_V4_4.0 RSS SMAP Level 2C Sea Surface Salinity V4.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036880739-POCLOUD.umm_json The version 4.0 SMAP-SSS, level 2C product contains the fourth release of the validated sea surface salinity orbital/swath data from the NASA Soil Moisture Active Passive (SMAP) observatory, and is produced operationally by Remote Sensing Systems (RSS). Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing. Observations are global in extent and provided at a 0.25 degree x 0.25 degree grid with an approximate spatial feature resolution of 40KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data.The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_RSS_L2_SSS_V5.3_5.3 RSS SMAP Level 2C Sea Surface Salinity V5.3 Evaluation Dataset POCLOUD STAC Catalog 2015-04-01 2024-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2936721448-POCLOUD.umm_json The RSS SMAP level 2C sea surface salinity V5.3 evaluation dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a evaluation product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B antenna temperatures (TA) as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file covers one 98-minute orbit (15 files per day) and is available in netCDF-4 file format. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
-SMAP_RSS_L2_SSS_V5_5.0 RSS SMAP Level 2C Sea Surface Salinity V5.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208421887-POCLOUD.umm_json The version 5.0 SMAP-SSS, level 2C product contains the fourth release of the validated sea surface salinity orbital/swath data from the NASA Soil Moisture Active Passive (SMAP) observatory, and is produced operationally by Remote Sensing Systems (RSS). The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_RSS_L2_SSS_V6_6.0 RSS SMAP Level 2C Sea Surface Salinity V6.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2832221740-POCLOUD.umm_json The RSS SMAP level 2C sea surface salinity V6.0 dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The SMAP-SSS L2C product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, brightness temperatures for each radiometer polarization, antenna temperatures, collocated wind speed, data and ancillary reference surface salinity data from HYCOM, rain rate, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day), is available in netCDF-4 file format with about 4 days l atency. Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
-SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V4_4.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V4.0 Validated Dataset POCLOUD STAC Catalog 2015-03-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1940468263-POCLOUD.umm_json The version 4.0 SMAP-SSS level 3, 8-Day running mean gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS). Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Daily data files for this product are based on SSS averages spanning an 8-day moving time window. SMAP data begins on April 1,2015 and is ongoing. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V5.3_5.3 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.3 Evaluation Dataset POCLOUD STAC Catalog 2015-03-27 2024-01-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2951822554-POCLOUD.umm_json The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.3 Evaluation Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a evaluation product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B antenna temperatures (TA) as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file is available in netCDF-4 file format. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 5.3 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
-SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V5_5.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.0 Validated Dataset POCLOUD STAC Catalog 2015-03-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208425700-POCLOUD.umm_json The version 5.0 SMAP-SSS level 3, 8-Day running mean gridded product is based on the fifth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS). The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. Daily data files for this product are based on SSS averages spanning an 8-day moving time window. SMAP data begins on April 1,2015 and is ongoing. L3 products are global in extent with a default spatial resolution of approximately 70KM. The datasets are gridded at 0.25degree x 0.25degree. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_RSS_L3_SSS_SMI_8DAY-RUNNINGMEAN_V6_6.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V6.0 Validated Dataset POCLOUD STAC Catalog 2015-03-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2832227567-POCLOUD.umm_json The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V6.0 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The RSS SMAP 8-Day running mean product is based on SSS averages spanning an 8-day moving time window, it includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, rain filtered SMAP sea surface salinity, collocated wind speed, data and ancillary reference surface salinity data from HYCOM. Each data file is available in netCDF-4 file format with about 7-day latency (after the end of the averaging period). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
-SMAP_RSS_L3_SSS_SMI_MONTHLY_V4_4.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V4.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036878255-POCLOUD.umm_json The version 4.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_RSS_L3_SSS_SMI_MONTHLY_V5.3_5.3 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.3 Evaluation Dataset POCLOUD STAC Catalog 2015-04-01 2024-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2936708691-POCLOUD.umm_json The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.3 Evaluation Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a evaluation product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The evaluation Version 5.3 is identical to the Version 6.0 validated release with the exception that Version 5.3 uses the Version 5 L1B antenna temperatures (TA) as input. The V6 L1B TA uses a lower TA threshold for RFI exclusion. Until the full back-processing of V6.0 is complete, the evaluation Version 5.3 can and should be used instead. Version 5.3 has been processed from the beginning of the SMAP mission to the end of 2023, and each data file is available in netCDF-4 file format. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 5.3 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
-SMAP_RSS_L3_SSS_SMI_MONTHLY_V5_5.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V5.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2208416221-POCLOUD.umm_json The version 5.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. The major changes in Version 5.0 from Version 4 are: (1) the addition of formal uncertainty estimates to all salinity retrieval products. (2) Sea-ice flagging and sea-ice side-lobe correction based on direct ingestion of AMSR-2 brightness temperature (TB) measurements. This is in contrast to Version 4 and earlier versions in which the sea-ice correction was based on an external sea-ice concentration product. The use of AMSR-2 TB measurements in the SMAP Version 5 products allows for salinity retrievals closer to the sea-ice edge and aids in the detection of large icebergs near the Antarctic. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent with a default spatial resolution of approximately 70KM. The datasets are gridded at 0.25degree x 0.25degree. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval. proprietary
-SMAP_RSS_L3_SSS_SMI_MONTHLY_V6_6.0 RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset POCLOUD STAC Catalog 2015-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2832226365-POCLOUD.umm_json The RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V6.0 Validated Dataset produced by the Remote Sensing Systems (RSS) and sponsored by the NASA Ocean Salinity Science Team, is a validated product that provides orbital/swath data on sea surface salinity (SSS) derived from the NASA's Soil Moisture Active Passive (SMAP) mission. The SMAP satellite was launched on 31 January 2015 with a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.
The major changes in Version 6.0 from Version 5.0 are: (1) Removal of biases during the first few months of the SMAP mission that are related to the operation of the SMAP radar during that time. (2) Mitigation of biases that depend on the SMAP look angle. (3) Mitigation of salty biases at high Northern latitudes. (4) Revised sun-glint flag. The RSS SMAP L3 monthly product includes data for a range of parameters: derived sea surface salinity (SSS) with SSS-uncertainty, rain filtered SMAP sea surface salinity, collocated wind speed, data and ancillary reference surface salinity data from HYCOM. Each data file is available in netCDF-4 file format and is averaged over one-month time intervals with about 7-day latency (after the end of the averaging period). Data begins on April 1,2015 and is ongoing. Observations are global in extent with an approximate spatial resolution of 40KM. Note that while a SSS 40KM variable is also included in the product for most open ocean applications, The standard product of the SMAP Version 6.0 release is the smoothed salinity product with a spatial resolution of approximately 70 km. proprietary
SMERGE_RZSM0_40CM_2.0 Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 (SMERGE_RZSM0_40CM) at GES DISC GES_DISC STAC Catalog 1979-01-02 2019-05-10 -125, 25, -67, 53 https://cmr.earthdata.nasa.gov/search/concepts/C1569839798-GES_DISC.umm_json Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V2.0 is a multi-decadal root-zone soil moisture product. Smerge is developed by merging the North American Land Data Assimilation System (NLDAS) land surface model output with surface satellite retrievals from the European Space Agency Climate Change Initiative. The data have a 0.125 degree resolution at a daily time-step, covering the entire continental United States and spanning nearly four decades (January 1979 to May 2019). This data product contains root-zone soil moisture of 0 - 40 cm layer, Climate Change Initiative (CCI) derived soil moisture anomalies of 0-40 cm layer, and a soil moisture data estimation flag. This data product is the recommended replacement for the AMSR-E/Aqua root zone soil moisture L3 1 day 25 km x 25 km descending and 2-Layer Palmer Water Balance Model V001 product (LPRM_AMSRE_D_RZSM3), which will be removed from archive on June 27, 2022. Smerge provides a better root zone soil moisture estimation because it has higher data quality and longer temporal coverage. proprietary
-SMHI_IPY_ACEX-2004-ODEN-TRACK_1.0 ACEX 2004 ODEN TRACK SCIOPS STAC Catalog 2004-08-08 2004-09-13 19.045, 69.727, 175.94, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595274-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
-SMHI_IPY_ACEX-2004-Seismic_Not provided ACEX 2004 Seismic SCIOPS STAC Catalog 2004-08-08 2004-09-13 139.0632, 87.917, 140.31, 87.977 https://cmr.earthdata.nasa.gov/search/concepts/C1214595276-SCIOPS.umm_json Reflection seismic profiles aquired during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
-SMHI_IPY_ACEX-2004-Sites_1.0 ACEX 2004 Sites SCIOPS STAC Catalog 2004-08-08 2004-09-13 -4.05029, 69.727, 19.045, 89.999 https://cmr.earthdata.nasa.gov/search/concepts/C1214595252-SCIOPS.umm_json The site location for the cores retrieved during the International Ocean Drilling Program (IODP) Leg 302, also known as Arctic Coring Expedition (ACEX). proprietary
-SMHI_IPY_AGAVE2007-track_1.0 AGAVE2007 track SCIOPS STAC Catalog 2007-07-01 2007-08-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595299-SCIOPS.umm_json Icebreaker Oden\\\\\\\\\\\\\\\'s trackline during the Arctic Gakkel Vents Expedition (AGAVE) 2007. proprietary
-SMHI_IPY_ALIS_Not provided ALIS, Auroral Large Imaging System SCIOPS STAC Catalog 1993-12-23 2009-02-18 18.8, 67.3, 21.7, 69.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214595251-SCIOPS.umm_json ALIS consists of unmanned imaging stations located in Northern Scandinavia in a grid of about 50Ã50 km. Each station is equipped with an imager having a high-resolution monochrome 1024Ã1024 pixel CCD detector and a filter wheel with six positions for narrow-band interference filters. The field of view is 70 degrees diagonally for most imagers, but there are also two units with a 90 degrees field of view. The imagers are mounted in a positioning system and can be pointed so that several imagers can view a common volume. ALIS is operated on campaign basis. Filter sequences and pointing directions are freely selectable. proprietary
SMMRN7IM_001 SMMR/Nimbus-7 Color Images V001 (SMMRN7IM) at GES DISC GES_DISC STAC Catalog 1978-10-30 1983-11-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1616514843-GES_DISC.umm_json "SMMRN7IM is the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) Color Image data product scanned from 17"" x 15"" color prints and saved as JPEG-2000 files. Sea surface temperature, sea surface winds, total atmospheric water vapor over oceans, total atmospheric liquid water over oceans, including brightness temperature parameters are available as both 6-day composites and 1-month averages between 64 south and north latitudes in Mercator projection. Sea ice fraction, sea ice and ocean surface temperature, sea ice concentration, including brightness temperature parameters are available as both 3-day and 1-month averages in north and south polar stereographic projections. Images may contain between one and three measured parameters. These SMMR images are available from 30 October 1978 through 2 November 1983. The principal investigator for the SMMR experiment was Dr. Per Gloersen from NASA GSFC. These products were previously available from the NSSDC under the ids ESAD-00007, ESAD-00056, ESAD-00123, ESAD-00124, ESAD-00162, ESAD-00172, ESAD-00173, ESAD-00176 ESAD-00177, ESAD-00178, and ESAD-00241 (old ids 78-098A-08I-S)." proprietary
SMMR_ALW_PRABHAKARA_1 Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Atmospheric Liquid Water (ALW) By Prabhakara LARC_ASDC STAC Catalog 1979-02-01 1984-05-31 180, -48, -180, 48 https://cmr.earthdata.nasa.gov/search/concepts/C1336972900-LARC_ASDC.umm_json SMMR_ALW_PRABHAKARA data are Special Multichannel Microwave Radiometer (SMMR) Monthly Mean Atmospheric Liquid Water (ALW) data by Prabhakara.The Prabhakara Scanning Multichannel Microwave Radiometer (SMMR) Atmospheric Liquid Water (ALW) files were generated by Dr. Prabhakara Cuddapah at the Goddard Space Flight Center (GSFC) using SMMR Antenna Temperatures. A discussion of the SMMR Antenna Temperatures is available from the Langley Distributed Active Archive Center (DAAC). Each ALW file contains one month of 3 degree by 5 degree gridded mean liquid water. Each element of data is in units of mg/cm2. The data spans the period from February 1979 to May 1984. proprietary
SMMR_IWV_PRABHAKARA_1 Scanning Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) By Prabhakara LARC_ASDC STAC Catalog 1979-01-01 1983-09-30 -180, -75, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1336972882-LARC_ASDC.umm_json SMMR_IWV_PRABHAKARA data are Special Multichannel Microwave Radiometer (SMMR) Monthly Mean Integrated Water Vapor (IWV) data by Prabhakara.The Scanning Multichannel Microwave Radiometer (SMMR) Prabhakara integrated atmospheric water vapor (IWV) files were generated by Dr. Prabhakara Cuddapah at the Goddard Space Flight Center (GSFC) using SMMR Antenna Temperatures. A discussion of the SMMR Antenna Temperatures is available from the Langley Research Center Distributed Active Archive Center (DAAC). Each IWV file contains one month of 3 degree by 5 degree gridded mean water vapor. A scale factor of 0.1 must be applied to convert the data into units of g/cm2. The data spans the period from October 1979 to September 1983. proprietary
-SMODE_L1_ASIT_KABODS_V1_1 S-MODE Pre-Pilot Level 1 Data from the Ka-band Ocean Doppler Scatterometer (KaBODS) at the Air-Sea Interaction Tower Version 1 POCLOUD STAC Catalog 2019-10-01 2020-01-15 -70.5667, 41.325, -70.5667, 41.325 https://cmr.earthdata.nasa.gov/search/concepts/C2162113242-POCLOUD.umm_json This data set includes tower-based Ka-band ocean surface backscatter measurements (cross section, incidence angle, radial velocity from radar, pulse-pair correlation) located offshore of Martha’s Vineyard (41°19.5′N, 70°34′W), Massachusetts (USA) over a period of three months, from October 2019 to January 2020. Data from the Ka-band radar are collected at multiple distances from the tower (up to ~32 m) at several incidence angles and at sub-second resolution. The measurements are provided as hourly files in netCDF format.
Ka-band backscatter data are often utilized to derived ocean surface vector winds. The instrument used for this dataset was a Ka-Band Ocean continuous wave Doppler Scatterometer (KaBODS) built by the University of Massachusetts, Amherst, which was installed on the Woods Hole Oceanographic Institution Air-Sea Interaction Tower (ASIT). The tower is located in 15 m deep water and extends 76 feet into the marine atmosphere. Data were collected as part of a pre-pilot campaign for the S-MODE (Submesoscale Ocean Dynamics Experiment) project. The measurements provided the opportunity to develop Ka-band backscatter models as well as study backscattering mechanisms under different wind, wave, and weather conditions in order to support operation of the airborne Ka-band Doppler scatterometer used during the main S-MODE intensive observation periods. proprietary
-SMODE_L1_ASIT_SLOPEFIELDS_V1_1 S-MODE Pre-Pilot Ocean Wave Slope from Visible-Band Polarimetry at the Air-Sea Interaction Tower Version 1 POCLOUD STAC Catalog 2019-10-07 2020-01-18 -70.5667, 41.325, -70.5667, 41.325 https://cmr.earthdata.nasa.gov/search/concepts/C2162104652-POCLOUD.umm_json These wave slope data from polarimetry described below are considered preliminary and should not be used for any purpose without consulting Chris Zappa (zappa@ldeo.columbia.edu).
This data set includes tower-based measurements of ocean wave slope fields from visible-band polarimetry using a Polaris Pyxis Mono VIS polarimetric camera. The data here include wave slope fields at 30 frames per second temporal resolution and mm-scale spatial resolution over a ~2 m x 2 m area of ocean surface observed off the Air-Sea Interaction Tower (ASIT; 41°20.1950'N, 70°33.3865'W). Measurements were taken over the period from October 2019 through January 2020. Surface slopes are along two dimensions: along-look and cross-look orientations of the camera. Data was acquired for 10 minutes per hour, 8 hours per day, and each data file (netCDF-4) captures one of the 10-minute segments. Note that data files are large, 142 GB each.
Data were collected as part of a pre-pilot campaign for the S-MODE (Submesoscale Ocean Dynamics Experiment) project. The polarimetric slope sensing (PSS) technique of Zappa et al. [2008] allows one to reconstruct the water surface slope field by measuring the polarization state of reflected light at each image pixel, allowing for surface resolutions of order 1 mm with no in-water measurement component. From these data one is able to compute water surface slope variance, wave directional spreading, and the near-surface current profile. proprietary
-SMODE_L1_DOPPLERSCATT_V1_1 S-MODE DopplerScatt Level 1 Surface Doppler and Radar Backscatter Version 1 POCLOUD STAC Catalog 2021-05-03 2023-04-30 -125.4, 36.3, -122.5, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2301076107-POCLOUD.umm_json This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 1 data includes geolocated physical measurements for a measurement footprint, which are the basis for the DopplerScatt L2 surface winds and currents estimates. Data are available in netCDF format and are ordered by measurement acquisition time and radar range, and are not on a geospatial grid. proprietary
-SMODE_L1_MASS_DOPPVIS_V1_1 S-MODE Level 1 MASS DoppVis Imagery Version 1 POCLOUD STAC Catalog 2022-10-16 2023-04-30 -125.4, 36.3, -121.7, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2793202077-POCLOUD.umm_json This dataset contains airborne DoppVis imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a Nikon D850 camera with a 14mm lens mounted with a 90 degree rotation and a 30 degree positive pitch angle during flight. The camera was synchronized to a coupled GPS/IMU system with images taken at 2hz. Raw images were calibrated for lens distortion and boresight misalignment with the GPS/IMU. Images were georeferenced to the processed aircraft trajectory and exported with reference to WGS84 datum with a UTM zone 10 projection (EPSG 32610) at 50cm resolution. Level 1 DoppVis images are available as GZIP flightlines containing individual TIFF images. proprietary
-SMODE_L1_MASS_DOPVISIBLE_V1_1 S-MODE MASS Level 1 DoppVis Imagery Version 1 POCLOUD STAC Catalog 2021-10-22 2021-11-30 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2431661343-POCLOUD.umm_json This dataset contains airborne DoppVis imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a Nikon D850 camera with a 14mm lens mounted with a 90 degree rotation and a 30 degree positive pitch angle during flight. The camera was synchronized to a coupled GPS/IMU system with images taken at 2hz. Raw images were calibrated for lens distortion and boresight misalignment with the GPS/IMU. Images were georeferenced to the processed aircraft trajectory and exported with reference to WGS84 datum with a UTM zone 10 projection (EPSG 32610) at 50cm resolution. Level 1 DoppVis images are available in TIFF format. proprietary
-SMODE_L1_MASS_HYPERSPECTRAL_V1_1 S-MODE MASS Level 1 Hyperspectral Imagery Version 1 POCLOUD STAC Catalog 2021-10-22 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2431605582-POCLOUD.umm_json This dataset contains airborne hyperspectral imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a hyperspectral camera operating in the visible to near-IR range (400-990 nm). Hyperspectral data are used by S-MODE to provide visible imagery of the kinematics of whitecaps and ocean color measurements. Level 1 data are available as zip files containing data in ENVI format and text files containing location and timing information. proprietary
-SMODE_L1_MASS_LIDAR_V1_1 S-MODE MASS Level 1 Lidar Point Cloud Version 1 POCLOUD STAC Catalog 2021-10-22 2023-04-28 -125.4, 36.3, -121.5, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2110184918-POCLOUD.umm_json This dataset contains geolocated airborne LiDAR point cloud measurements from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a high resolution LiDAR, used to characterize the properties of ocean surface topography. The sensor has a maximum pulse repetition rate of 400 kHz, with a +/- 30° cross-heading raster scan rate of 200 Hz. Level 1 LiDAR point clouds are available in .laz format. proprietary
-SMODE_L1_MASS_LWIR_V1_1 S-MODE MASS Level 1 LWIR Version 1 POCLOUD STAC Catalog 2021-10-22 2021-11-30 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2431645288-POCLOUD.umm_json NOTICE: This dataset is currently undergoing maintenance to be repackaged as zip files of flight lines. The file count will decrease dramatically when new zip files are available.
This dataset contains airborne longwave infrared (LWIR) imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes a FLIR SC6700 camera with 13mm lens was mounted nadir in the aircraft in an orientation so that the short edge of the image was parallel with the flight track. The camera was synchronized to a coupled GPS/IMU system with images collected at 50hz. Raw images were calibrated for lens distortion, vignetting, and boresight misalignment with the GPS/IMU. Images were georeferenced to the processed aircraft trajectory and exported with reference to the WGS84 datum with a UTM zone 10 projection (EPSG 32610) at an altitude-dependent resolution. Level 1 images are available in TIFF format. proprietary
-SMODE_L1_MASS_VISIBLE_V1_1 S-MODE MASS Level 1 Visible Imagery Version 1 POCLOUD STAC Catalog 2021-10-22 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2431654574-POCLOUD.umm_json This dataset contains airborne visible imagery from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Modular Aerial Sensing System (MASS) is an airborne instrument package that is mounted on the DHC-6 Twin Otter aircraft which flies long duration detailed surveys of the field domain during deployments. MASS includes an IO Industries Flare 12M125-CL camera with 14mm lens mounted nadir in the aircraft in an orientation so that the short edge of the image was parallel with the aircraft heading. The camera was synchronized to a coupled GPS/IMU system with images taken at 5hz. Raw images were calibrated for lens distortion and boresight misalignment with the GPS/IMU. Images were georeferenced to the post-processed aircraft trajectory and exported with reference to WGS84 datum with a UTM zone 10 projection (EPSG 32610) at an altitude-dependent spatial resolution. Level 1 images are available in TIFF format. proprietary
-SMODE_L1_PRISM_V1_1 S-MODE PRISM Level 1 Radiance and Ancillary Products Version 1 POCLOUD STAC Catalog 2022-10-18 2023-05-10 -130, 35, -122, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2110184916-POCLOUD.umm_json This dataset contains PRISM data from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco during Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Portable Remote Imaging Spectrometer (PRISM) is an airborne instrument package that is mounted on the GIII aircraft which flies long duration detailed surveys of the field domain during deployments. PRISM contains a pushbroom imaging spectrometer operating at near-UV to near-IR wavelengths (350-1050 nm), which will produce high temporal resolution and resolve spatial features as small as 30 cm. PRISM also has a two-channel spot radiometer at short-wave infrared (SWIR) band (1240 nm and 1640 nm), that is co-aligned with the spectrometer and will be used to provide accurate atmospheric correction of the ocean color measurements. Level 1 data is available in netCDF format. proprietary
-SMODE_L1_SAILDRONES_V1_1 S-MODE Saildrone Level 1 Observations POCLOUD STAC Catalog 2021-10-01 2022-11-30 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2574191901-POCLOUD.umm_json This dataset contains a suite of Saildrone in-situ measurements (including but not limited to temperature, salinity, currents, biochemistry, and meteorology) taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign spanning two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Saildrones are wind-and-solar-powered unmanned surface vehicles rigged with atmospheric and oceanic sensors that measure upper ocean horizontal velocities, near-surface temperature and salinity, Chlorophyll-a fluorescence, dissolved oxygen concentration, 5-m winds, air temperature, and surface radiation. Acoustic Doppler Current Profiler (ADCP) data samples are available in their raw 1 Hz sampling frequency as well as 5 minute averages, the latter available with navigation data. Other measurements are available as raw files (1Hz or 20 Hz where applicable), as well as 1 minute averages. L1 data are available as a zip file. proprietary
-SMODE_L2_APEX_FLOAT_V1_1 S-MODE Temperature and Salinity from NAVO Floats Version 1 POCLOUD STAC Catalog 2023-04-01 2023-08-01 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2864321540-POCLOUD.umm_json This dataset contains APEX float in-situ measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. Data was collected approximately 300 km offshore of San Francisco, during Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. US Naval Oceanographic Office (NAVO) APEX floats measure subsurface properties including temperature and salinity. Data are available in netCDF format. proprietary
-SMODE_L2_DOPPLERSCATT_WINDS_CURRENT_V1_1 S-MODE DopplerScatt Level 2 Ocean Winds and Currents Version 1 POCLOUD STAC Catalog 2021-10-20 2021-11-05 -126.2, 36.3, -122.1, 38.2 https://cmr.earthdata.nasa.gov/search/concepts/C2110184925-POCLOUD.umm_json This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 2 data includes estimates of surface winds and currents. The V1 data have been cross-calibrated against SIO-DopVis leading to the 'dopvis_2021' current geophysical model function. It is expected that additional DopVis data will lead to a reprocessing of this data set and it should be regarded as provisional, to be refined after future S-MODE deployments. Data are available in netCDF format. proprietary
-SMODE_L2_DOPPLERSCATT_WINDS_CURRENT_V2_2 S-MODE DopplerScatt Level 2 Ocean Winds and Currents Version 2 POCLOUD STAC Catalog 2021-10-20 2023-04-30 -126.5, 36, -122, 38.4 https://cmr.earthdata.nasa.gov/search/concepts/C2639507467-POCLOUD.umm_json This dataset contains concurrent airborne DopplerScatt radar retrievals of surface vector winds and ocean currents from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Data were collected approximately 300 km offshore of San Fransisco during a pilot campaign in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. DopplerScatt is a Ka-band (35.75 GHz) scatterometer with a swath width of 24 km that records Doppler measurements of the relative velocity between the platform and the surface. It is mounted on a B200 aircraft which flies daily surveys of the field domain during deployments, and data is used to give larger scale context, and also to compare with in-situ measurements of velocities and divergence. Level 2 data includes estimates of surface winds and currents. The V2 data have been cross-calibrated against ADCPs, surface drifters, and the SIO-DopVis instrument collected during the Pilot and IOP1 campaigns. Additional DopVis data collected during IOP1 and IOP2, in addition to IOP2 ADCP and surface drifter data will lead to a reprocessing of this dataset, and it should be regarded as provisional. Data are available in netCDF format. proprietary
-SMODE_L2_DRIFTER_POSITIONS_V1_1 S-MODE L2 Position Data from Surface Drifters Version 1 POCLOUD STAC Catalog 2021-10-21 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2830029002-POCLOUD.umm_json This dataset contains in-situ position data from surface drifters from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Drifting buoys were deployed from the research vessels and configured to nominally report positions every five minutes. Drifter position as a function of time is used by S-MODE to measure the average horizontal velocity of currents in the upper 60 cm of the ocean. Tracking and telemetry of the drifters is done by Pacific Gyre, Inc. The data are available in netCDF format with a dimension of time. proprietary
-SMODE_L2_LAGRANGIAN_FLOATS_V1_1 S-MODE Lagrangian Float Observations Version 1 POCLOUD STAC Catalog 2022-10-01 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2612867358-POCLOUD.umm_json This dataset contains in-situ measurements of temperature, salinity, and velocity from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco, during an intensive observation period in the fall of 2022. The data are available in netCDF format with a dimension of time. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The target in-situ quantities were measured by Lagrangian floats, which were deployed from research vessels and retrieved 3-5 days later. The floats follow the 3D motion of water parcels at depths within or just below the mixed layer and carried a CTD instrument to measure temperature, salinity, and pressure, in addition to an ADCP instrument to measure velocity. proprietary
-SMODE_L2_MOSES_LWIR_SST_V1_1 S-MODE MOSES Level 2 Atmospherically-Corrected Sea Surface Temperature Version 1 POCLOUD STAC Catalog 2021-10-19 2023-05-05 -125.4, 36, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2110184921-POCLOUD.umm_json This dataset contains airborne sea surface temperature (SST) measurements from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). Data were collected approximately 300 km offshore of San Fransisco during a pilot campaign in October 2021, and an intensive operating period (IOP) in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Multiscale Observing System of the Ocean Surface (MOSES) is an aerial observing system that primarily uses a longwave infrared (LWIR) camera to record SST at a resolution of several meters. Individual images are mosaiced together to provide a synoptic map of the sample domain covering approximately 200 km. MOSES is mounted on the B200 aircraft which flies daily surveys of the field domain during deployments. Data are available in netCDF format. proprietary
-SMODE_L2_PRISM_CHLA_V1_1 S-MODE PRISM Level 2 Water Surface Chlorophyll-a Version 1 POCLOUD STAC Catalog 2022-10-19 2023-05-10 -130, 35, -122, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2727960248-POCLOUD.umm_json This dataset contains estimated chlorophyll-a and particulate organic carbon concentration data from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco during Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Portable Remote Imaging Spectrometer (PRISM) is an airborne instrument package that is mounted on the GIII aircraft which flies long duration detailed surveys of the field domain during deployments. PRISM contains a pushbroom imaging spectrometer operating at near-UV to near-IR wavelengths (350-1050 nm), which produced high temporal resolution and resolve spatial features as small as 30 cm. PRISM also has a two-channel spot radiometer at short-wave infrared (SWIR) band (1240 nm and 1640 nm), that is co-aligned with the spectrometer and is used to provide accurate atmospheric correction of the ocean color measurements. Level 2 chlorophyll-a data are available in netCDF format. proprietary
-SMODE_L2_SAILDRONES_V1_1 S-MODE L2 Temperature and Salinity from Saildrones Version 1 POCLOUD STAC Catalog 2021-09-01 2022-10-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2766903177-POCLOUD.umm_json This dataset contains Saildrone in-situ measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and an intensive operating period (IOP) in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Saildrones are wind-and-solar-powered unmanned surface vehicles rigged with atmospheric and oceanic sensors that measure upper ocean horizontal velocities, near-surface temperature and salinity, Chlorophyll-a fluorescence, dissolved oxygen concentration, 5-m winds, air temperature, and surface radiation. Acoustic Doppler Current Profiler (ADCP) data samples originally measured at 1 Hz frequency are averaged into 5 minute bins, along with navigation data. Non-ADCP data from IOP1 contain additional bio-optical measurements. All data are available in netCDF format. proprietary
-SMODE_L2_SEAGLIDERS_V1_1 S-MODE Seaglider Observations Version 1 POCLOUD STAC Catalog 2022-08-23 2023-07-07 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2766303078-POCLOUD.umm_json This dataset contains profiles of temperature, dissolved oxygen, salinity, and other observations collected by Seagliders during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Seagliders are autonomous underwater vehicles (AUVs) designed to glide from the ocean surface to as deep as 1000 m and back while collecting profiles of oceanic variables. Data are available in netCDF format. proprietary
-SMODE_L2_SHIPBOARD_ADCP_V1_1 S-MODE L2 Shipboard Acoustic Doppler Current Profiler Measurements Version 1 POCLOUD STAC Catalog 2021-10-19 2023-05-06 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2830022538-POCLOUD.umm_json This dataset contains shipboard Acoustic Doppler Current Profiler (ADCP) measurements from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during a pilot campaign and two intensive operating periods (IOPs) conducted approximately 300 km offshore of San Francisco during Fall 2021, 2022, and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The ADCP was mounted to the bottom of the hulls of the research vessels deployed during each campaign, measuring horizontal and vertical currents, as well as acoustic backscatter from approximately 3 m to 50 m depth along the ship’s track. The data are available in netCDF format with dimensions of time and depth. proprietary
-SMODE_L2_SHIPBOARD_BIO_V1_1 S-MODE Shipboard Bio-optical Measurements Version 1 POCLOUD STAC Catalog 2022-10-09 2022-11-02 -125.4, 30, -119, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2700534037-POCLOUD.umm_json This dataset contains shipboard bio-optical measurements collected during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during an intensive operating period (IOP) in Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Data are available in netCDF format. proprietary
-SMODE_L2_SHIPBOARD_BOTTLES_V1_1 S-MODE L2 Shipboard Bottle Data Version 1 POCLOUD STAC Catalog 2021-10-22 2023-05-02 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2830060262-POCLOUD.umm_json This dataset contains in-situ seawater samples taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) conducted approximately 300 km offshore of San Francisco during a pilot campaign over two weeks in October 2021, and two intensive operating periods (IOPs) in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Water samples collected in Niskin bottles mounted on the ship’s rosette sampler were taken of chlorophyll (µg/L), phaeopigments (µg/L), and nutrient concentrations (µM or µmol/L) of particulate organic carbon, particulate organic nitrogen, silicate, nitrate, nitrite, and phosphate. Samples analyzed with fluorometry contain chlorophyll concentrations in µg/L and phaeopigment concentrations in µg/L. Samples analyzed with elemental analysis contain POC molarity in µM and PON molarity in µM. Samples analyzed via ion analysis contain silicate concentrations in µM, total nitrate+nitrite in µM, phosphate in µM, nitrite in µM, and nitrate in µM. These data are mainly used by S-MODE for validating the PRISM-derived products and calibrating the in-situ sensors on the autonomous platforms. Data are available in netCDF format. proprietary
-SMODE_L2_SHIPBOARD_CTD_V1_1 S-MODE L2 Shipboard Conductivity, Temperature, and Depth Measurements Version 1 POCLOUD STAC Catalog 2021-08-01 2023-05-05 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2834159558-POCLOUD.umm_json This dataset contains shipboard conductivity, temperature, and depth (CTD) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The shipboard CTD rosette is cast from the R/V Oceanus where it records ocean temperature, conductivity, and pressure as it descends to depth and then returns to the surface. IOP1 and IOP2 measurements also contain biological data. Data are available in netCDF format. proprietary
-SMODE_L2_SHIPBOARD_RADIOMETER_METEOROLOGY_V1_1 S-MODE Shipboard Radiometer Measurements Version 1 POCLOUD STAC Catalog 2021-08-01 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2832306976-POCLOUD.umm_json This dataset contains shipboard radiometer measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Air-Sea Interaction METeorology (ASIMET) sensors mounted onboard the R/V Oceanus record shortwave and longwave radiation fluxes. These are used by S-MODE to compare with DopplerScatt retrievals. Data are available in netCDF format. proprietary
-SMODE_L2_SHIPBOARD_RADIOSONDES_METEOROLOGY_V1_1 S-MODE L2 Shipboard Meteorological Data from Rawinsondes Version 1 POCLOUD STAC Catalog 2021-10-21 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2832235159-POCLOUD.umm_json This dataset contains atmospheric sounding measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Sounding profiles were collected using shipboard Windsond S1H3-S radiosondes launched from the R/V Oceanus cruise OC2108A, to a maximum elevation of at least 5 km above ground level (ABL). These measurements are used to understand the vertical structure of atmospheric temperature, winds, and moisture. The original 1Hz observations were gridded onto a uniform 20 m vertical grid. The data are available in netCDF format with dimensions of altitude and profile number. proprietary
-SMODE_L2_SHIPBOARD_SUNA_V1_1 S-MODE L2 Shipboard SUNA nitrate data Version 1 POCLOUD STAC Catalog 2021-10-22 2021-10-23 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2832216518-POCLOUD.umm_json This dataset contains Submersible Ultraviolet Nitrate Analyzer (SUNA) nitrate measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. SUNA is a standalone optical nitrate sensor that mounts onto the shipboard CTD rosette cast from the R/V Oceanus. The SUNA measurements are calibrated against bottle nutrient samples taken from the underway flow-through system on the ship and later analyzed with a Lachat Nutrient Analyzer. From the Lachat data, the average concentration of nitrate+nitrite are used for each sample. Data are available in netCDF format. proprietary
-SMODE_L2_SHIPBOARD_TSG_V1_1 S-MODE L2 Shipboard Thermosalinograph, Meteorology, and Bio-optics Measurements Version 1 POCLOUD STAC Catalog 2021-08-01 2023-05-04 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2832851810-POCLOUD.umm_json This dataset contains shipboard thermosalinograph (TSG), meteorology, and bio-optics measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The TSG instrument measures the temperature and conductivity of seawater passing through a port in the hull of the ship. TSG data is calibrated using water samples compared to standard seawater and a laboratory salinometer onboard the ship. This dataset also contains chlorophyll and meteorology measurements including air temperature, barometric pressure, wind speed and direction, relative humidity, and radiative fluxes. Data are available in netCDF format, with separate dimensions for time, time of bio-optics measurements, and time of radiometer measurements. proprietary
-SMODE_L2_SHIPBOARD_UCTD_ECOCTD_V1_1 S-MODE Shipboard uCTD and EcoCTD Measurements Version 1 POCLOUD STAC Catalog 2021-08-01 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2110184931-POCLOUD.umm_json This dataset contains shipboard Underway conductivity, temperature, and depth (UCDT) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Underway CTD system contains a standard UCDT probe measuring conductivity, temperature, and pressure, as well as an augmented EcoCDT probe that concurrently measures both hydrographic and bio-optical data including conductivity, temperature, pressure, dissolved oxygen concentration, chlorophyll-fluorescence, and particulate backscatter at two different wavelengths. The level 2 data herein combines measurements from both the UCDT and EcoCDT into a single dataset, where for each variable, all profiles are binned onto a 5m vertical grid and merged into a 2-D matrix. Additional computed variables include backscatter baseline signal and backscatter spike signal. Data are available in netCDF format. proprietary
-SMODE_L2_SLOCUM_GLIDERS_V1_1 S-MODE Temperature and Salinity from Slocum Gliders Version 1 POCLOUD STAC Catalog 2021-08-01 2023-05-31 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2301083264-POCLOUD.umm_json This dataset contains Slocum glider in-situ measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. US Naval Oceanographic Office (NAVOCEANO) Slocum gliders measure subsurface properties including temperature and salinity by profiling to a depth of 1000m at a fixed location every 4 hours. Data are available in netCDF format. proprietary
-SMODE_L2_WAVEGLIDERS_TEMP_SALINITY_V1_1 S-MODE Waveglider Observations POCLOUD STAC Catalog 2021-10-28 2022-11-30 -126.2, 36.3, -122.1, 38.2 https://cmr.earthdata.nasa.gov/search/concepts/C2574025518-POCLOUD.umm_json This dataset contains waveglider observations from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during a pilot campaign that spanned two weeks in October 2021, and two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Three wave gliders were deployed as part of the S-MODE pilot campaign, equipped with a suite of sensors including sonic anemometers, shortwave and longwave radiometers, CTD profilers, and ADCPs. All wave gliders include an IMU that records platform orientation and motion at 20Hz. Data are available in netCDF format. proprietary
-SMODE_L2a_PRISM_REFL_V1_1 S-MODE PRISM Level 2a Reflectance Version 1 POCLOUD STAC Catalog 2022-10-19 2023-05-10 -130, 35, -122, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2727951862-POCLOUD.umm_json This dataset contains orthocorrected and atmospherically corrected water-leaving reflectance data from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) during the IOP1 campaign conducted approximately 300 km offshore of San Francisco during Fall 2022. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Portable Remote Imaging Spectrometer (PRISM) is an airborne instrument package that is mounted on the GIII aircraft which flies long duration detailed surveys of the field domain during deployments. PRISM contains a pushbroom imaging spectrometer operating at near-UV to near-IR wavelengths (350-1050 nm), which produced high temporal resolution and resolve spatial features as small as 30 cm. PRISM also has a two-channel spot radiometer at short-wave infrared (SWIR) band (1240 nm and 1640 nm), that is co-aligned with the spectrometer and is used to provide accurate atmospheric correction of the ocean color measurements. Level 2a reflectance data is available in ENVI format. proprietary
-SMODE_L3_SEAGLIDERS_TEMP_SALINITY_V1_1 S-MODE Level 3 Seaglider Observations Version 1 POCLOUD STAC Catalog 2022-08-23 2023-07-07 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2847092563-POCLOUD.umm_json This dataset contains profiles of temperature, dissolved oxygen, salinity, and other observations collected by Seagliders during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. The experiment was conducted approximately 300 km offshore of San Francisco, during two intensive operating periods in Fall 2022 and Spring 2023. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. Seagliders are autonomous underwater vehicles (AUVs) designed to glide from the ocean surface to as deep as 1000 m and back while collecting profiles of oceanic variables. Data are available in netCDF format. proprietary
-SMODE_L3_SHIPBOARD_UCTD_ECOCTD_V1_1 S-MODE Level 3 Shipboard uCTD and EcoCTD Measurements Version 1 POCLOUD STAC Catalog 2021-08-01 2021-11-30 -125.4, 36.3, -122.9, 38.1 https://cmr.earthdata.nasa.gov/search/concepts/C2574152934-POCLOUD.umm_json This dataset contains shipboard Underway conductivity, temperature, and depth (UCDT) measurements taken during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) pilot campaign conducted approximately 300 km offshore of San Francisco over two weeks in October 2021. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. The Underway CTD system contains a standard UCDT probe measuring conductivity, temperature, and pressure, as well as an augmented EcoCDT probe that concurrently measures both hydrographic and bio-optical data including conductivity, temperature, pressure, dissolved oxygen concentration, chlorophyll-fluorescence, and particulate backscatter at two different wavelengths. Level 3 data are available in netCDF format with dimensions of profile number and depth. proprietary
-SMODE_L4_NCOM_V1_1 S-MODE NCOM Model Output Version 1 POCLOUD STAC Catalog 2021-10-28 2023-05-05 -130, 30, -116, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2988721782-POCLOUD.umm_json This dataset contains model output from the Navy Coastal Ocean Model (NCOM) run during the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) field campaign. S-MODE aims to understand how ocean dynamics acting on short spatial scales influence the vertical exchange of physical and biological variables in the ocean. NCOM model output consists of daily files during the deployment dates of the pilot campaign in Fall 2021, IOP1 in Fall 2022, and IOP2 in Spring 2023. Data consists of ocean variables such as salinity, sea water temperature, water depth, and surface wind stress, and are available in netCDF format. proprietary
SMOS_Open_V7_NA SMOS L1 and L2 Science data ESA STAC Catalog 2010-01-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207506566-ESA.umm_json "Level 1 SMOS data products are designed for scientific and operational users who need to work with calibrated MIRAS instrument measurements, while Level 2 SMOS data products are designed for scientific and operational users who need to work with geo-located soil moisture and sea surface salinity estimation as retrieved from Level 1 dataset. Products from the operational pipeline in the SMOS Data Processing Ground Segment (DPGS) https://earth.esa.int/eogateway/missions/smos/description, located at the European Space Astronomy Centre (ESAC), have File Class """"OPER"""", while reprocessed data is tagged as """"REPR"""". For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes. The Level 1A product comprises all calibrated visibilities between receivers (i.e. the interferometric measurements from the sensor including the redundant visibilities), combined per integration time of 1.2s (snapshot). The snapshots are consolidated in a pole-to-pole product file (50 minutes of sensing time) with a maximum size of about 215MB per half orbit (29 half orbits per day). The Level 1B product comprises the result of the image reconstruction algorithm applied to the L1A data. As a result, the reconstructed image at L1B is simply the difference between the sensed scene by the sensor and the artificial scene. The brightness temperature image is available in its Fourier component in the antenna polarisation reference frame top of the atmosphere. Images are combined per integration time of 1.2 seconds (snapshot). The removal of foreign sources (Galactic, Direct Sun, Moon) is also included in the reconstruction. Snapshot consolidation is as per L1A, with a maximum product size of about 115MB per half orbit. ESA provides the Artificial Scene Library (ASL) to add the artificial scene in L1B for any user that wants to start from L1B products and derive the sensed scene. The Level 1C product contains multi-angular brightness temperatures in antenna frame (X-pol, Y-pol, T3 and T4) at the top of the atmosphere, geo-located in an equal-area grid system (ISEA 4H9 - Icosahedral Snyder Equal Area projection). Two L1C products are available: Land for soil moisture retrieval and Sea for sea surface salinity retrieval. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 350MB per half orbit (29 half orbits per day). Spatial resolution is in the range of 30-50 km. For each L1C product there is also a corresponding Browse product containing brightness temperatures interpolated for an incidence angle of 42.5°. The Level 2 Soil Moisture (SM) product comprises soil moisture measurements geo-located in an equal-area grid system ISEA 4H9. The product contains not only the retrieved soil moisture, but also a series of ancillary data derived from the processing (nadir optical thickness, surface temperature, roughness parameter, dielectric constant and brightness temperature retrieved at top of atmosphere and on the surface) with the corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 7MB (25MB uncompressed data) per half orbit (29 half orbits per day). The Level 2 Ocean Salinity (OS) product comprises sea surface salinity measurements geo-located in an equal-area grid system ISEA 4H9. The product contains one single swath-based sea surface salinity retrieved with and without Land-Sea contamination correction, SSS anomaly based on WOA-2009 referred to Land-Sea corrected sea surface salinity, brightness temperature at the top of the atmosphere and at the sea surface with their corresponding uncertainties. The pixels are consolidated in a pole-to-pole product file (50 minutes of sensing time), with a maximum size of about 10MB (25MB uncompressed data) per half orbit (29 half orbits per day). The following Science data products, belonging to the latest processing baseline, are openly available to all users: MIR_SC_F1B/MIR_SC_D1B: Level 1B product, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCLF1C/MIR_SCLD1C: Level 1C product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SCSF1C/MIR_SCSD1C: Level 1C product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWLF1C/MIR_BWLD1C: Level 1C Browse product over Land, FULL/DUAL polarisation mode, in Earth Explorer format MIR_BWSF1C/MIR_BWSD1C: Level 1C Browse product over Sea, FULL/DUAL polarisation mode, in Earth Explorer format MIR_SMUDP2: Level 2 Soil Moisture product, in Earth Explorer and NetCDF format MIR_OSUDP2: Level 2 Sea Surface Salinity product, in Earth Explorer and NetCDF format Access to the following Science data products is restricted to SMOS CalVal users: MIR_SC_F1A/MIR_SC_D1A: Level 1A product, FULL/DUAL polarisation mode, in Earth Explorer format. For an optimal exploitation of the current SMOS L1 and L2 data set please consult the read-me-first notes available in the Resources section below." proprietary
SNDR13CHRP1AQCal_2 Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from EOS-Aqua, V2 (SNDR13CHRP1AQCal) at GES DISC GES_DISC STAC Catalog 2016-09-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2011289898-GES_DISC.umm_json "The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the ""standard"". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1AQCal, only contains CHIRP data derived from the AIRS instrument on EOS-AQUA that is not present in the main CHIRP product, SNDR13CHRP1, and therefore starts on Sept. 1, 2016 and will continue until the AIRS end of mission." proprietary
SNDR13CHRP1J1Cal_2 Sounder SIPS: Sun Synchronous 13:30 orbit Climate Hyperspectral InfraRed Product (CHIRP): Calibrated Radiances from JPSS-1/NOAA-20, V2 (SNDR13CHRP1J1Cal) at GES DISC GES_DISC STAC Catalog 2018-02-17 2018-09-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2011290109-GES_DISC.umm_json "The Climate Hyperspectral Infrared Radiance Product (CHIRP) is a Level 1 radiance product derived from Atmospheric Infrared Sounder (AIRS) on EOS-AQUA and the Cross-Track Infrared Sounders (CrIS) on the SNPP and JPSS-1+ platforms. (JPSS-1 is also called NOAA-20). CHIRP provides a consistent spectral response function (SRF) across all instruments. Inter-instrument radiometric offsets are removed with SNPP-CrIS chosen as the ""standard"". CHIRP follows the original instrument storage, i.e., granule in, granule out, and contains all information needed for retrievals (including cross-track, along-track, fov id, etc.). This version of CHIRP, SNDR13CHRP1J1Cal, contains CHIRP data derived from the JPSS-1 (NOAA-20) CrIS instrument that is not present in the main CHIRP product, SNDR13CHRP1, which include JPSS-1 data from February 17, 2018 through August 31, 2018." proprietary
@@ -10314,6 +9076,8 @@ SNEX21_SSR_1 SnowEx21 Senator Beck Basin and Grand Mesa, CO AVIRIS-NG Surface Sp
SNEX21_TS_SP_1 SnowEx21 Time Series Snow Pits V001 NSIDC_ECS STAC Catalog 2020-11-16 2021-05-27 -116.12351, 37.9071, -105.86093, 47.0607 https://cmr.earthdata.nasa.gov/search/concepts/C3046987606-NSIDC_ECS.umm_json The data set is a time-series of snow pit measurements obtained by the SnowEx community during the 2021 field campaign. Between November 2020 and May 2021 data from 247 snow pits were collected at 24 unique sites distributed over 4 states (CO, ID, MT, UT) throughout the Western United States. Five of the unique sites had a single visit to establish baseline conditions, while the remaining 19 sites had 3 or more repeat visits throughout the season, with a median visit count of 11.5. On a weekly interval, a snow pit was dug approximately 1 m away from the previous week’s snow pit. Available measured parameters are: snow depth, snow temperature, snow density, stratigraphy, grain size, manual wetness, liquid water content (LWC), and snow water equivalent (SWE). Also available are photos of the field notes and snow pit sites. proprietary
SNEX23_BCEF_TLS_1 SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans V001 NSIDC_ECS STAC Catalog 2022-10-22 2023-03-26 -148.325, 64.697, -148.278, 64.714 https://cmr.earthdata.nasa.gov/search/concepts/C2854618795-NSIDC_ECS.umm_json "This data set contains digital terrain models (DTMs) derived from terrestrial lidar scans (TLS) collected as part of the SnowEx 2023 campaign. Data were collected at the Bonanza Creek Experimental Forest near Fairbanks, Alaska in October 2022 (snow-off conditions) and March 2023 (snow-on conditions). The DTMs are provided as Geographic Tagged Image (GeoTIFF) files, where each file corresponds to a unique survey site. Unprocessed point cloud data from which these DTMs were derived are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1 (SNEX23_BCEF_TLS_Raw) data set" proprietary
SNEX23_BCEF_TLS_Raw_1 SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw V001 NSIDC_ECS STAC Catalog 2022-10-22 2023-03-26 -148.325, 64.697, -148.278, 64.714 https://cmr.earthdata.nasa.gov/search/concepts/C2856186714-NSIDC_ECS.umm_json "This data set contains unprocessed point cloud data created from terrestrial lidar scans (TLS) collected during the SnowEx 2023 campaign from the Bonanza Creek Experimental Forest near Fairbanks, Alaska. Data were collected in October 2022 (snow-off) and March 2023 (snow-on). Digital terrain models (DTMs) derived from the raw point cloud data are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans, Version 1 (SNEX23_BCEF_TLS) data set" proprietary
+SNEX23_CRREL_GPR_1 SnowEx23 CRREL Ground Penetrating Radar V001 NSIDC_ECS STAC Catalog 2023-03-08 2023-03-15 -149.598, 68.5257, -149.2186, 68.64 https://cmr.earthdata.nasa.gov/search/concepts/C3215566728-NSIDC_ECS.umm_json "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted in Alaska, USA as part of the NASA SnowEx 2023 field campaign. The study site is a coastal tundra environment in the North Slope region of the Alaska coastal plain (Upper Kuparuk Toolik). Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include two-way travel (TWT) time, calculated snow depth, and calculated snow water equivalent (SWE). Raw GPR data are available as SnowEx23 CRREL Ground Penetrating Radar Raw, Version 1." proprietary
+SNEX23_CRREL_GPR_Raw_1 SnowEx23 CRREL Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2023-03-08 2023-03-15 -149.598, 68.5257, -149.2186, 68.64 https://cmr.earthdata.nasa.gov/search/concepts/C3227266712-NSIDC_ECS.umm_json "This data set contains the results of 1 GHz ground-penetrating radar surveys conducted in Alaska, USA as part of the NASA SnowEx 2023 field campaign. The study site is a coastal tundra environment in the North Slope region of the Alaska coastal plain (Upper Kuparuk Toolik). Data were collected between 08 Mar 2023 to 15 Mar 2023, spatially coinciding with snow pit locations and along transects between snow pits. Data include georeferenced multichannel ground-penetrating radargrams stored within .nc files. PRocessed GPR data are available as SnowEx23 CRREL Ground Penetrating Radar, Version 1." proprietary
SNEX23_CSU_GPR_Raw_1 SnowEx23 Colorado State University Ground Penetrating Radar Raw V001 NSIDC_ECS STAC Catalog 2023-03-07 2023-03-16 -148.3296, 64.6992, -147.4802, 65.1701 https://cmr.earthdata.nasa.gov/search/concepts/C3184787416-NSIDC_ECS.umm_json This data set contains the raw results of 1 GHz ground-penetrating radar surveys conducted as part of the NASA SnowEx23 field campaign in Alaska, USA. Surveys were conducted at three different field sites between 07 March 2023 and 16 March 2023: 1) Farmers Loop/Creamers Field, 2) the Bonanza Creek Experimental Forest, and 3) the Caribou/Poker Creek Research Watershed. proprietary
SNEX23_Lidar_1 SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height V001 NSIDC_ECS STAC Catalog 2022-03-11 2023-10-25 -148.5, 64.5, -148, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2893208516-NSIDC_ECS.umm_json "This data set provides digital terrain models, snow depth, and canopy height, acquired by a scanning lidar system and derived from Point Cloud Digital Terrain Models (PCDTMs) from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). The raw data from which these data are derived are available as SnowEx23 Airborne Lidar Scans Raw, Version 1." proprietary
SNEX23_Lidar_Raw_1 SnowEx23 Airborne Lidar Scans Raw V001 NSIDC_ECS STAC Catalog 2022-03-11 2023-10-25 -148.5, 64.5, -148, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2893835306-NSIDC_ECS.umm_json "This data set provides raw lidar data from two regions of Alaska, USA collected as part of the NASA SnowEx 2023 field campaign. The study sites include a boreal forest environment in the Fairbanks region of central Alaska (the Bonanza Creek Experimental Forest, Caribou Poker Creek watershed, and Farmer’s Loop/Creamer’s Field) and a coastal tundra environment in the North Slope region of the northern Alaska coastal plain (Arctic coastal plain and Upper Kuparuk Toolik). Processed data, including digital terrain models, snow depth, and canopy height derived from Point Cloud Digital Terrain Models (PCDTMs) are available as SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height, Version 1." proprietary
@@ -10372,9 +9136,6 @@ SNPPCrISL1BNSR_3 Suomi NPP CrIS Level 1B Normal Spectral Resolution V3 (SNPPCrIS
SNPPCrISL1B_2 Suomi NPP CrIS Level 1B Full Spectral Resolution V2 (SNPPCrISL1B) at GES DISC GES_DISC STAC Catalog 2015-11-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1442068517-GES_DISC.umm_json The Cross-track Infrared Sounder (CrIS) Level 1B Full Spectral Resolution (FSR) data files contain radiance measurements along with ancillary spacecraft, instrument, and geolocation data of the CrIS instrument on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (SNPP). In December 2014, the CrIS instrument on the SNPP satellite doubled the spectral resolution of shortwave infrared data being transmitted to the ground. In November 2015, additional points were included at the ends of the longwave and shortwave interferograms to improve the quality of the calibration. Prior to November 2, 2015 the data are only available in Normal Spectral Resolution (NSR), after November 2, 2015 at 16:06 UTC, the data are available in both NSR and Full Spectral Resolution. The FSR files have 2,223 channels: 637 shortwave channels from 3.9 to 4.7 microns (2555 to 2150 cm-1), 869 midwave channels from 5.7 to 8.05 microns (1752.5 to 1242.5 cm-1), and 717 longwave channels from 9.1 to 15.41 microns (1096.25 to 648.75 cm-1). Each CrIS field-of-regard (FOR) contains 9 field-of-views (FOVs) arranged in a 3X3 array. The Level 1B files contain 30 FORs in the cross track direction and 45 in the along track direction. Data products are constructed on six minute boundaries. CrIS is designed to be used with the ATMS (Advanced Technology Microwave Sounder) instrument. Processing the data from both of these instruments together is referred to as CrIMSS (Cross-Track Infrared and Microwave Sounder Suite). If you were redirected to this page from a DOI from an older version, please note this is the current version of the product. Please contact the GES DISC user support if you need information about previous data collections. proprietary
SNPPCrISL1B_3 Suomi NPP CrIS Level 1B Full Spectral Resolution V3 (SNPPCrISL1B) at GES DISC GES_DISC STAC Catalog 2015-11-02 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1952167468-GES_DISC.umm_json The Cross-track Infrared Sounder (CrIS) Level 1B Full Spectral Resolution (FSR) data files contain radiance measurements along with ancillary spacecraft, instrument, and geolocation data of the CrIS instrument on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (SNPP). In December 2014, the CrIS instrument on the SNPP satellite doubled the spectral resolution of shortwave infrared data being transmitted to the ground. In November 2015, additional points were included at the ends of the longwave and shortwave interferograms to improve the quality of the calibration. Prior to November 2, 2015 the data are only available in Normal Spectral Resolution (NSR), after November 2, 2015 at 16:06 UTC, the data are available in both NSR and Full Spectral Resolution. The FSR files have 2,223 channels: 637 shortwave channels from 3.9 to 4.7 microns (2555 to 2150 cm-1), 869 midwave channels from 5.7 to 8.05 microns (1752.5 to 1242.5 cm-1), and 717 longwave channels from 9.1 to 15.41 microns (1096.25 to 648.75 cm-1). Each CrIS field-of-regard (FOR) contains 9 field-of-views (FOVs) arranged in a 3X3 array. The Level 1B files contain 30 FORs in the cross track direction and 45 in the along track direction. Data products are constructed on six minute boundaries. CrIS is designed to be used with the ATMS (Advanced Technology Microwave Sounder) instrument. Processing the data from both of these instruments together is referred to as CrIMSS (Cross-Track Infrared and Microwave Sounder Suite). If you were redirected to this page from a DOI from an older version, please note this is the current version of the product. Please contact the GES DISC user support if you need information about previous data collections. proprietary
SNPP_CrIS_VIIRS750m_IND_1 SNPP CrIS-VIIRS 750-m Matchup Indexes V1 (SNPP_CrIS_VIIRS750m_IND) at GES_DISC GES_DISC STAC Catalog 2015-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2278117672-GES_DISC.umm_json This dataset includes SNPP VIIRS-CrIS collocation index product, within the framework of the Multidecadal Satellite Record of Water Vapor, Temperature, and Clouds (PI: Eric Fetzer) funded by NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, 2017. The dataset is built upon work by Wang et al. (doi: 10.3390/rs8010076) and Yue (doi:10.5194/amt-15-2099-2022). The short name for this collections is SNPP_CrIS_VIIRS750m_IND proprietary
-SOAR1999WMB_Not provided Aerogeophysical survey of western Marie Byrd Land, Antarctica SCIOPS STAC Catalog 1970-01-01 -158, -80.5, -136, -75.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214611929-SCIOPS.umm_json An aerogeophysical survey of the western Marie Byrd Land region of Antarctica was flown in Dec. 1998-Jan. 1999, measuring surface and base of ice elevation by radar and strength of magnetic and gravity fields. The coverage area measured about 460 by 360 km, long dimension oriented NE, and included the Shirase Coast of the eastern Ross Ice Shelf, much of the Edward VII Peninsula, the Sulzberger Ice Shelf, and the Ford Ranges. Track spacing was either 5.3 or 10.6 km over most of the area. The 60 Mhz radar system usually provided good images of the base of the ice for thicknesses less than 1 km but rarely imaged thicknesses greater than 1.5 km. Determination of gravity anomalies required corrections for acceleration of the aircraft as measured by differential carrier-phase GPS navigation, filtering to remove wavelengths less than 10 km, which are commonly contaminated by aircraft motion, and editing of occasional spikes. The gravity anomalies allow estimation of bed topography under floating ice and under ice too thick for radar imaging. Magnetic anomaly reduction includes a correction for daily variation as measured at the base camp. Data formats for all observations include files for original flight profiles and grids of edited data at 1.06 km node spacing. proprietary
-SOAR1_UTIG_Not provided Airborne Geophysical Data acquired by the NSF Support Office for Aerogeophysical Research (SOAR), University of Texas Institute for Geophysics, 1994-2000. SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214611637-SCIOPS.umm_json This dataset consists of airborne geophysical data collected between 1994 and 2000 by the National Science Foundation's Support Office for Aerogeophysical Research (SOAR) at the University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. Multiple areas within Antarctica were covered, including both grid and line surveys. Some areas have reduced data products (i.e., surface and bed elevations, ice thickness, gravity and magnetic field anomalies). proprietary
-SOAR2_UTIG_Not provided Airborne Geophysical Data acquired and reduced by The University of Texas Institute for Geophysics, 2000-2001. SCIOPS STAC Catalog 1970-01-01 95, -82, 160, -77 https://cmr.earthdata.nasa.gov/search/concepts/C1214614557-SCIOPS.umm_json This dataset consists of airborne geophysical data collected during 2000/01 by researchers at The University of Texas Institute for Geophysics. Meaurements were made using a laser altimeter, a radar echo sounder, a gravimeter, and a magnetometer. Positioning was accomplished with kinematic, differential carrier-phase GPS. The data, reduced by UTIG, includes: surface and bed elevations, ice thickness, gravity and magnetic field anomalies. Two distinct surveys in East Antarctica are covered: a grid-based survey of subglacial Lake Vostok and its environs, and a 1200 km line-based transect extending from the Transantarctic Mountains (near 160E, 77S) toward Dome A (near 95E, 82S). proprietary
SOCCOM_0 Southern Ocean Carbon and Climate Observations and Modeling project (SOCCOM) OB_DAAC STAC Catalog 2014-12-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360663-OB_DAAC.umm_json SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) is a NSF project sampling the Southern Ocean and its influence on climate.Additional Data LinksCLIVAR P16S_2014 Pigment AnalysisCLIVAR P16S_2014 POC dataCLIVAR P16S_2014 Supporting Documentation proprietary
SOC_3M_Maps_NE_TidalWetlands_1905_1 Soil Organic Carbon Distributions in Tidal Wetlands of the Northeastern USA ORNL_CLOUD STAC Catalog 1998-01-01 2018-12-31 -76.35, 37.08, -66.94, 45.26 https://cmr.earthdata.nasa.gov/search/concepts/C2515912673-ORNL_CLOUD.umm_json This dataset provides estimates of soil organic carbon (SOC) in tidal wetlands for the northeastern United States. The data cover the period 1998-2018. Northeastern U.S. tidal wetlands and bordering areas were harmonized from government agencies [U.S. Department of Agriculture - Natural Resources Conservation Service (USDA-NRCS), National Cooperative Soil Survey (NCSS), USDA-NRCS - Rapid Carbon Assessment (RaCA), U.S. Environmental Protection Agency - National Wetland Condition and Assessment (EPA-NWCA)] and published studies. Point data for carbon stocks (in kg m-2) at four soil depths (0-5, 0-30, 0-100, and 0-200 cm) are included. SOC for the four depths was predicted for eight regional zones using regression models driven by environmental covariates. Two methods were used to estimate parameters for these models, a Random Forest (RF) Ranger method and a Quantile Regression Forest (QRF) model. The distribution of SOC was predicted for tidal wetland cover types mapped by Correll et al. (2019). Predictions and uncertainties are available at a 3 m resolution. proprietary
SOC_Stocks_Great_Plains_1603_1 Stocks of Surface Soil Organic Carbon Fractions, Great Plains Region, USA, 2007-2010 ORNL_CLOUD STAC Catalog 2007-05-01 2010-10-01 -111.93, 31.22, -94.43, 45.83 https://cmr.earthdata.nasa.gov/search/concepts/C2517662316-ORNL_CLOUD.umm_json This dataset provides estimates of total organic soil carbon (SOC), pyrogenic (PyC), particulate (POC), and other organic soil carbon (OOC) fractions in 473 surface layer soil samples collected from stratified-sampling locations in Colorado, Kansas, New Mexico, and Wyoming, USA. Terrain, climate, soil, fire, and land cover data used to predict and map SOC, PyC, POC, and OOC at 1 km resolution throughout the study region are also included. The estimates were derived using a best random forest regression model and cover the period 2007-05-01 to 2010-10-01. proprietary
@@ -10536,47 +9297,6 @@ SPOT1-5_NA SPOT1-5 ESA archive ESA STAC Catalog 1986-04-01 2015-09-15 -180, -90,
SPOT4-5_Take5.ESAarchive_NA SPOT 4-5 Take5 ESA archive ESA STAC Catalog 2013-01-31 2015-09-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336953-ESA.umm_json At the end of SPOT-4 life, the Take5 experiment was launched and the satellite was moved to a lower orbit to obtain a 5 day repeat cycle, same repetition of Sentinel-2. Thanks to this orbit, from 1st of Feb to 19th of June 2013 a time series of images acquired every 5 days with constant angle and over 45 different sites were observed. In analogy to the previous SPOT-4 Take-5 experiment, also SPOT-5 was placed in a 5 days cycle orbit and 145 selected sites were acquired every 5 days under constant angles from 8th of April to 31st of August 2015. With a resolution of 10 m, the following processing levels are available: Level 1A: reflectance at the top of atmosphere (TOA), not orthorectified products Level 1C: data orthorectified reflectance at the top of atmosphere (TOA) Level 2A: data orthorectified surface reflectance after atmospheric correction (BOA), along with clouds mask and their shadow, and mask of water and snow. proprietary
SPOT5_BEAVER_LOEWE_FEATURES_1 Beaver Lake and Loewe Massif Features Mapped from SPOT 5 Imagery. AU_AADC STAC Catalog 2004-01-11 2004-01-11 66.6, -71.01, 68.82, -70.29 https://cmr.earthdata.nasa.gov/search/concepts/C1214313824-AU_AADC.umm_json Beaver Lake and Loewe Massif Features Mapped from SPOT 5 Imagery. The purpose of this Australian Antarctic Data Centre project was to map features on and around Beaver Lake and the Loewe Massif using a rectified SPOT 5 satellite image. The image was captured on 11 January 2004. The features mapped were to be provided as a series of ArcInfo Coverages in Geographicals, conforming to the Feature Catalogue. Further information is provided in a downloadable report at the URL given below. A thumbnail of the image (ID number 167) is available via the Australian Antarctic Data Centre's Satellite Image Catalogue at the URL given below. proprietary
SPOT67fullarchiveandtasking1_NA SPOT 6 & 7 full archive and tasking ESA STAC Catalog 2002-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547572697-ESA.umm_json The SPOT 6 and 7 satellites ensure data continuity with the no longer operational SPOT 5 satellite and provide an archive of very high resolution optical acquisition as well as the possibility to task the satellites for new acquisitions. The ortho-products are automatically generated by the SPOT 6 and 7 ground segment, based on SRTM database or Reference3D when available. The projection available for SPOT 6 and 7 ortho-products is UTM, datum WGS84. Bands combinations: - Pansharpened: colour image at 1.5 m resolution - Bundle: 1.5 m panchromatic image and 6 m multispectral image Geometric processing levels: - Primary: The Primary product is the processing level closest to the natural image acquired by the sensor. This product restores perfect collection conditions: the sensor is placed in rectilinear geometry, and the image is clear of all radiometric distortion. - Standard Ortho: The Ortho product is a georeferenced image in Earth geometry, corrected from acquisition and terrain off-nadir effects. - Tailored ortho: Aside from the Standard Ortho product, when different specifications are needed, a custom orthorectification, with a more precise 3D model provided by the client or acquired for the purpose, can be provided on demand. proprietary
-SPURS1_ADCP_1.0 SPURS-1 shipboard Acoustic Doppler Current Profiler data for N. Atlantic Endeavor and Knorr cruises POCLOUD STAC Catalog 2012-09-06 2013-10-13 -73, 20, -28, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2491772166-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Acoustic Doppler Current Profilers (ADCP) provide water column current velocity profile observations. Shipborne ADCP data were collected during the 3 US cruises, using the Knorr and Endeavor 300 kHz Workhorse, 75 khz broadband and 75 khz narrowband instruments, and during the Sarmiento cruise using a 76.8 khz broadband ADCP. Corresponding ruise dates were as follows: Knorr: 6 Sept-9 Oct 2012; Sarmiento: 14 Mar-10 Apr 2013, Endeavor: 15 Mar-15 Apr 2013 and 19 Sep-13 Oct 2013. Additionally, lowered ADCP (L-ADCP) measurements were made during the Knorr cruise on every CTD cast and during the Sarmiento cruise. The ADCP data files here (1 per cruise) are for the shipborne ADCP measurements only. proprietary
-SPURS1_ARGO_1.0 Argo float CTD profile data within the scope of the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-09 2014-08-21 -76, 23, -28, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2491772167-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth profiles from the upper 2000m. Approximately 24 floats were deployed during SPURS-1 within the campaign domain, mainly during the Knorr cruise (6 Sept-9 Oct,2012). These were standard Argo floats with the addition of surface temperature and salinity (STS) sensors and acoustic rain gauges (PAL). Data accessible here only include the standard ARGO profiles, not the STS or PAL data. SPURS-1 ARGO data files are oganized per float and each contain profile trajectory series of conductivity, salinity, temperature, pressure, depth observations. proprietary
-SPURS1_CTD_1.0 SPURS-1 research vessel CTD profile data for N. Atlantic cruises POCLOUD STAC Catalog 2012-08-16 2013-10-05 -63, 23, -37, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2491772169-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. CTD (Conductivity, Temperature, Depth) profilers were deployed at stations on each of the 5 SPURS-1 cruises. These shipboard lowered CTD probes provide continuous conductivity, salinity, and temperature vertical profile observations at fixed sampling locations. There were 100, 52, 17, 22 and 94 CTD casts made during the Knorr, Endeavor-1, Endeavor-2, Sarmiento, and Thalassa cruises respectively. All CTD data were calibrated using shipboard salinometers using IAPSO standard seawater. SPURS-1 shipboard CTD data files (one per cruise) contain the observational data processed to 1 meter bin depth intervals. proprietary
-SPURS1_DRIFTER_1.0 Drifter data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2011-10-19 2015-04-07 -66, 16, -28, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2491772174-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Approximately 83 drifters were deployed during the SPURS-1 campaign. A drifter is a passive Lagrangian sensor platform consisting of a surface buoy and tethered subsurface drogue. Drifter buoys contain GPS/ARGOS and satellite data transmitters, with sensors measuring temperature and other properties. For SPURS-1, these were standard Surface Velocity Program (SVP) drifters with salinity sensors added (SVP/S). Data for both US and European drifter deployments during SPURS-1 are available here. For each series, drifter data have been aggregrated within single netCDF data filea with their corresponding drifter-IDs and associaciated near-surface salinity, temperaure georeferenced (GPS and ARGOS) trajectory series data. proprietary
-SPURS1_ECOMAPPER_1.0 Ecomapper data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-29 2012-09-30 -39, 26, -38, 27 https://cmr.earthdata.nasa.gov/search/concepts/C2491772199-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Ecomapper or IVER is a portable autonomous underwater vehicle (AUV) capable carrying a range of sensor payloads. For SPURS-1 these included CTD, chlorophyll, oxygen and turbidity sensors. Ecomapper was deployed on two days during the Knorr cruise, 29 and 30 September 2012. The resulting Knorr Ecomapper data files include deployment event information and contain trajectory-depth profile series of chlorophyll, turbidity, oxygen, conductivity, with salinity, and temperature observations from two sensors. proprietary
-SPURS1_FLOAT_NEUTRALLYBUOYANT_1.0 Neutrally buoyant float data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-18 2013-02-22 -39, 21, -34, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772227-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Neutrally buoyant floats drift and move through the water column providing continuous temperature and salinity profiles via 2 integrated CTDs and GPS surface position location data. Two floats were deployed during SPURS-1, one during the Knorr cruise in September 2012 another deployed during the April 2013 Endeavor cruise. Recoveries were in April and September 2013 respectively. Neutrally buoyant float trajectory profile data include georeferenced time series of salinity, temperature, and pressure/depth observations. proprietary
-SPURS1_METEO_1.0 SPURS-1 research vessel Meteorological series data for N. Atlantic Endeavor cruises POCLOUD STAC Catalog 2013-03-14 2013-10-13 -72, 32, -37, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2491772266-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. All US SPURS-1 cruises (Knorr: 6 Sept-9 Oct 2012; Endeavor: 15 Mar-15 Apr 2013 and 19 Sep-13 Oct 2013) were equipped with a ship mast meteorological sensor package. An additional set of sophisticated meteorological sensors, including a direct covariance flux package, was installed on the Knorr. These sensors provided along-track atmospheric pressure, temperature, humidity, IR/visible radiation, rain, wind speed and direct covariance flux measurements. Resulting data files (1 per cruise) contain these georeferenced, SPURS-1 research vessel-based meteorological measurements. proprietary
-SPURS1_MOORING_PICO_1.0 PICO Mooring data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-14 2013-09-30 -38, 24, -27, 25 https://cmr.earthdata.nasa.gov/search/concepts/C2491772306-POCLOUD.umm_json "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. Two PICO moorings (PICO-1000, PICO-3000) were deployed on the Knorr cruise in September 2012 in the northern and eastern SPURS-1 domain quadrants at N24.74, W37.95 and N24.51, W37.81 respectively. The moorings contained a surface meteorological package and a ""prawler"", a CTD that crawls up and down the mooring line from the near-surface down to about 500m, yielding time series of salinity and temperature profile data at fixed locations. The moorings were recovered on the Endeavor-2 cruise. PICO mooring netCDF files contain georeferenced CTD profile data including salinity, temperature, potential temperature, pressure, depth, meteorological variables, GPS-Lat/Lon, and profile ID." proprietary
-SPURS1_MOORING_WHOI_1.0 WHOI mooring CTD, surface flux and meterorological data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-14 2013-09-30 -38, 24, -38, 24.6 https://cmr.earthdata.nasa.gov/search/concepts/C2491772311-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The SPURS central mooring consisted of a surface meteorological package, surface oceanographic instruments, and subsurface, non-real time oceanographic instruments including CTD, ADCP sensors and current meters providing continuous series of temperature, salinity and current profile observations. Meteorological observations include wind speed, air temperature, precipitation, and radiative flux. The mooring was deployed in 5,535 meters of water at N24:34.867, W38 on 14 September 2012, was serviced on 25 March 2013 and recovered on 30 September 2013. WHOI mooring data files include surface and subsurface time series of sea temperature, skin temperature, salinity, conductivity, wind velocity, air temperature, relative humidity, precipitation rate, barometric pressure, shortwave and longwave radiation, short/longwave flux, heat Flux, wind Speed and direction. proprietary
-SPURS1_SEAGLIDER_1.0 Seaglider CTD data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-13 2013-08-24 -39, 23, -34, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772312-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Seaglider is an autonomous profiler measuring salinity and temperature. Three Seagliders were deployed on the Knorr cruise in September 2012. These were retrieved during the first Endeavor cruise, and then redeployed. The Seagliders typically made loops or butterfly patterns around the central SPURS mooring, diving to 1000 m. Seaglider data files contain vertically resolved trajectory series of conductivity, salinity, temperature, pressure, depth observations. proprietary
-SPURS1_SEASOAR_1.0 Seasoar CTD data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2013-03-22 2013-04-08 -39, 22, -36, 26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772317-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Seasoar is a towed vehicle equipped with impeller-forced wings that can be rotated on command to allow the vehicle to undulate in the upper ocean. Generally, Seasoar operates between the surface and about 400 meters depth while being towed on faired cable at about eight knots. A typical dive cycle takes about 12 minutes to complete, providing an up and down profile every 3 km. For SPURS-1, a Seasoar was deployed exclusively during the Sarmiento cruise over the period 22 Mar-8 Apr, 2013 and to a maximum depth of 312m. The Seasoar towed sensor system was equipped with dual pumped temperature/conductivity sensors. The Seasoar data in netCDF form here contains a highly processed 1-meter gridded version of the original source dataset, which is comprised of temperature, conductivity, salinity, pressure observations from 1144 casts during 2013 Spring SPURS Cruise. proprietary
-SPURS1_TENUSEGLIDER_1.0 Tenuse Glider CTD data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-08-21 2012-10-04 -39, 24, -35, 27 https://cmr.earthdata.nasa.gov/search/concepts/C2491772318-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Tenuse (Slocum) glider is an autonomous undulating profiler measuring salinity and temperature. It was deployed from the Thalassa on 21-August and recovered by the Knorr on 4-October-2012. It made a total of about 1400 profiles during that period (1-2 profiles/hour), going from the surface to 200 m. Resulting trajectory profile data from the Tenuse glider include georeferenced CTD observations on salinity, temperature, pressure, and depth. proprietary
-SPURS1_TSG_1.0 SPURS-1 research vessel Thermosalinograph series data for N. Atlantic cruises POCLOUD STAC Catalog 2012-09-01 2013-10-13 -73, 20, -14, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2491772319-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. All SPURS-1 vessels were equipped with a thermosalinograph (TSG). A TSG is an automated measurement system that is coupled to a research vessel's water intake and GPS systems to provide continuous, along-track surface temperature and salinity measurements. Each SPURS cruise employed TSGs whose measurements were calibrated against onboard salinometers. TSG data files are one per cruise. Note that Knorr TSG data are contained coupled in the same file as its shipborne meteorological observations. proprietary
-SPURS1_UCTD_1.0 SPURS-1 research vessel Underway-CTD trajectory profile data for N. Atlantic Endeavor and Knorr cruises POCLOUD STAC Catalog 2012-09-16 2013-04-06 -58, 23, -36, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2491772320-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. An Underway-CTD (UCTD) was deployed on 2 of the SPURS-1 cruises. An UCTD is a towed CTD instrument providing conductivity, salinity and temperature depth profile observations while underway at up to 20kts. 771 UCTD casts occurred during the Knorr and Endeavor-I cruises (6 Sept-9 Oct 2012 and 15 Mar-15 Apr 2013 respectively) utilizing an Oceanscience instrument. UCTD data files (1 per cruise) each contain the observational data for multiple deployments, binned in 1m depth intervals. proprietary
-SPURS1_WAVEGLIDER_1.0 Waveglider data for the SPURS-1 N. Atlantic field campaign POCLOUD STAC Catalog 2012-09-01 2013-03-25 -71, 23, -37, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2491772321-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. A Waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During SPURS-1, three wavegliders (ASL2, ASL3 and ASL4) were deployed from the Knorr in September 2012, redeployed in April 2013 (ASL22, ASL32 and ASL42) with final recovery in September. Waveglider trajectories followed a square loop or butterfly pattern around the central SPURS mooring. Sensors included a CTD at the near-surface and another at 6 m depth, a surface current meter, air temperature, atmospheric pressure and wind speed sensors providing continuous along-track observations. NetCDF waveglider data files here contain hour averaged, georeferenced trajectory data for those parameters and depths. proprietary
-SPURS2_ADCP_1.0 SPURS-2 shipboard Acoustic Doppler Current Profiler data for E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-14 2017-11-17 -157.88, 5.06, -118.32, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772322-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D,SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Shipborne ADCP observations were made during both SPURS-2 R/V Revelle cruises. Acoustic Doppler Current Profilers (ADCP) provide water column current velocity profile observations. The resulting data files available here are for narrowband 75 and 150khz ADCP measurements made during the first cruise, plus narrowband (NB) 75khz and both 75khz and 150khz broadband (BB) ADCP measurements obtained during the second R/V Revelle cruise. proprietary
-SPURS2_ARGO_1.0 SPURS-2 Argo float CTD profile data from the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-27 2019-03-11 -157.88, 5.06, -118.32, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772323-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth (CTD) profiles from the upper 2000m. Twenty five floats were deployed during SPURS-2 within the campaign spatial domain and time period, yielding approximately 1,893 profiles. These were standard Argo floats with the addition of acoustic rain gauges (PAL) in some cases. SPURS-2 ARGO data files are organized per float and profile with the vertical conductivity, salinity, temperature, pressure, depth observations per the netCDF ARGO file specification with some augmented global metadata attributes. proprietary
-SPURS2_CFT_1.0 SPURS-2 Controlled Flux Technique (CFT) data for the E. Tropical Pacific field campaign R/V Revelle cruises POCLOUD STAC Catalog 2016-08-24 2017-11-11 -157.88, 5.06, -118.32, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C2036882419-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The Controlled Flux Technique (CFT) is a system for measuring the net heat transfer velocity and turbulent kinetic energy (TKE) dissipation at the ocean surface, and is a useful tool for studying the turbulence generated at the ocean surface by the impact of raindrops. CFT was employed during both SPURS-2 Revelle cruises. It involves a laser heating a small patch of water on the ocean surface, and an infrared imaging camera then tracking the resulting thermal decay. This decay is known to be proportional to the dissipation of TKE at the water surface, which in turn can be used to scale the transfer velocity for the net heat flux. SPURS2 CFT data take the form of a series of .raw video files each with corresponding .met text header files containing the associated file metadata. The CFT data was recorded at 15 frames per second (fps) during the first Revelle cruise in 2016, and at 25 fps during the second in 2017. Matlab CFT reader software are provided by UW/APL and distributed here with the CFT data files. proprietary
-SPURS2_CTD_1.0 SPURS-2 research vessel CTD profile data for E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-16 2017-11-17 -157.88, 5.06, -118.32, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772324-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. CTD (Conductivity, Temperature, Depth) casts were undertaken at stations on each of the two R/V Revelle cruises during SPURS-2. These shipboard lowered CTD probes provide continuous conductivity, salinity, and temperature vertical profile observations at fixed sampling locations. There were a total of 50 and 14 CTD casts made during the first and second R/V Revelle cruises respectively, and the data files available here are for continuous CTD profile data for each of the individual casts deployed. All CTD data were calibrated using shipboard salinometers using IAPSO standard seawater. proprietary
-SPURS2_DISDR_1.0 SPURS-2 shipboard disdrometer data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-11 2017-11-17 -144.783, 5.055, -119.886, 24.204 https://cmr.earthdata.nasa.gov/search/concepts/C2781747781-POCLOUD.umm_json The SPURS-2 raindrop ODM-470 disdrometer dataset was collected from the ship during both the 2016 and 2017 cruises. Please see file global attributes and Klepp et al. (2015, 2018) for information on the disdrometer: http://dx.doi.org/10.1016/j.atmosres.2014.12.014, https://doi.org/10.1038/sdata.2018.122 . As explained in the references and global attributes, small drops that cause voltage drops < 0.12 V (i.e. drops with diameters < 0.44 mm) cannot be distinguished from noise by this instrument, and are thus missed. This undercounting of small drops cannot be corrected, and prevents accurate estimation of DSD parameters such as Nw, D0, Dm with any confidence or precision since the minimum detectable drop size is close to the median drop size of tropical oceanic rain (Thompson et al. 2015, https://doi.org/10.1175/JAS-D-14-0206.1). Nonetheless, this dataset provides estimates of drop counts as a function of drop size for the remaining rain drops > 0.44 mm in diameter, and their associated rain rates and liquid water contents. The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. proprietary
-SPURS2_DRIFTER_1.0 SPURS-2 Drifter data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-06-20 2019-03-14 -179.999, -10.074, -124.78, 32.283 https://cmr.earthdata.nasa.gov/search/concepts/C2491772335-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A drifter is a passive Lagrangian sensor platform consisting of a surface buoy and tethered subsurface drogue. Drifter buoys contain GPS/ARGOS and satellite data transmitters, with sensors measuring temperature and other properties. For SPURS-2, a range of drifters were deployed during both Revelle SPURS-2 cruises. These included: standard Surface Velocity Program (SVP) drifters with salinity sensors added (SVP/S), Surface Contact Salinity drifters, CODE, SADOS, AOML and CARTHE-SUPRACT drifters. For each series, drifter data have been aggregrated within single netCDF data files with their corresponding drifter-IDs and associated near-surface salinity, temperature georeferenced (GPS and ARGOS) trajectory series data. proprietary
-SPURS2_FLOAT_NEUTRALLYBUOYANT_1.0 SPURS-2 Neutrally buoyant float data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-26 2016-12-29 -125.015, 7.855, -108.951, 11.891 https://cmr.earthdata.nasa.gov/search/concepts/C2491772336-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Neutrally buoyant floats (also known as Mixed Layer Floats - MLF) drift and move through the water column providing continuous CTD temperature and salinity profiles and GPS surface position location data. One float was deployed in SPURS-2 during the first Revelle cruise in August 2016 and recovered in December 2016 after 3.5 months about 1800 km east of the central mooring. The MLF data are provided in netCDF file format with standards compliant metadata. proprietary
-SPURS2_LADYAMBER_1.0 SPURS-2 S/V Lady Amber underway Thermosalinograph and Sea Snake data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-29 2018-04-30 -163.925, 0.085, -126.978, 35.627 https://cmr.earthdata.nasa.gov/search/concepts/C2491772337-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Underway physical data from 6 cruises undertaken by the schooner Lady Amber during the SPURS-2 field campaign include along-track meteorological, salinity snake and fixed-hull CTD measurements at 1m and 2 m intake depths. Comparisons with nearby Revelle data facilitate evaluation of uncertainties arising from collecting data from a sailboat, and the characterization of small-scale spatial variability in the ocean and atmosphere. Data files are in netCDF CD/ACDD standards compliant format. proprietary
-SPURS2_METEO_1.0 SPURS-2 Research vessel Meteorological series data for the E. Tropical Pacific field campaign R/V Revelle cruises POCLOUD STAC Catalog 2016-08-20 2017-11-15 -144.874, 5.055, -119.886, 24.203 https://cmr.earthdata.nasa.gov/search/concepts/C2491772338-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A ship mast meteorological sensor package with an additional set of sophisticated sensors, including a direct covariance flux package was set up on both SPURS-2 Revelle cruises. These provided georeferenced, along-track atmospheric pressure, temperature, humidity, IR/visible radiation, rain, and wind speed and air-sea flux measurements. Resulting data are packaged in netCDF files (one per cruise) with standards compliant metadata. proprietary
-SPURS2_MOORING_CENTRAL_1.0 SPURS-2 Central mooring CTD, surface flux and meterorological data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-16 2017-11-16 -125.03, 10.05, -125.03, 10.05 https://cmr.earthdata.nasa.gov/search/concepts/C2491772339-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and countercurrent. The SPURS central mooring consisted of a surface meteorological package, surface oceanographic instruments, and subsurface, non-real time oceanographic instruments including CTD, ADCP sensors and point current meters providing continuous series of temperature, salinity and current profile data. Meteorological observations included wind speed, air temperature, precipitation, and radiative flux. The mooring was deployed in 4769 m depth of water on 24 August 2016, at N10:03.0481, W125:01.939, and was recovered on November 11, 2017. WHOI mooring netCDF data files include surface and subsurface time series of sea temperature, skin temperature, salinity, conductivity, wind velocity, air temperature, relative humidity, precipitation rate, barometric pressure, shortwave and longwave radiation, short/longwave flux, heat Flux, wind Speed and direction. proprietary
-SPURS2_MOORING_PICO_1.0 SPURS-2 PICO mooring data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-22 2017-11-03 -125, 9.047, -124.958, 11 https://cmr.earthdata.nasa.gov/search/concepts/C2491772340-POCLOUD.umm_json "The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Two PICO moorings (PMEL 9N and 11N) were deployed on the Revelle cruise in September 2016 in northern and southern domain quadrants at 9deg2.830N, 124deg59.833W and N10:59.0498, W124:57.531 respectively. These moorings contained a surface meteorological package and a ""prawler"", a CTD that crawls up and down the mooring line from 4-450m, yielding time series of salinity and temperature profile data at fixed locations (nominally 8 profiles per day). The moorings were recovered on the second Revelle cruise (Oct. 22 & Nov. 2, 2017). PICO mooring netCDF files contain georeferenced CTD profile data including salinity, temperature, potential temperature, pressure, depth, surface meteorological package data, GPS-Lat/Lon, and profile ID." proprietary
-SPURS2_PALS_1.0 SPURS-2 Passive Accoustic Listener (PAL) data from ARGO float deployments during the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-25 2018-08-22 -129.129, 8.861, -116.57, 12.106 https://cmr.earthdata.nasa.gov/search/concepts/C2491772341-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Part of the Argo global network of autonomous, self-reporting samplers, Argo floats drift horizontally and move vertically through the water column generally on 10 day cycles, collecting high-quality temperature, conductivity and salinity depth (CTD) profiles from the upper 2000m. Four of the Twenty five floats deployed during SPURS-2 within the campaign spatial domain and time period were additionally equipped with acoustic rain gauges (PAL - Passive Acoustic Listeners). SPURS-2 ARGO-PAL data files are in netCDF/CF-compliant data format and organized per float. Float identifiers associated with ARGO CTD data are referenced in the metadata of the related PAL files. proprietary
-SPURS2_RAINRADAR_1.0 SPURS-2 research vessel along track SEA-POL rain radar imaging data for E. Tropical Pacific R/V Revelle-2 cruise POCLOUD STAC Catalog 2017-10-22 2017-11-10 -125.57, 5.06, -119.89, 24.2 https://cmr.earthdata.nasa.gov/search/concepts/C2491772345-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The SEA-POL rain radar instrument was employed over the period 22 Oct.-10 Nov. 2017 during the second SPURS-2 R/V Revelle cruise. SEA-POL (seagoing-polarimetric radar) is a C-band, Doppler polarimetric radar system providing 240-degree sector coverage centered on the ships bow via its 1-degree beam width antenna. SEA-POL was used primarily to map rainfall in SPURS-2. The resulting dataset is a series of gridded netCDF data files for a 20 day period at 5-20 minute intervals comprised of rain rate and rain accumulation fields. proprietary
-SPURS2_RAWINSONDE_1.0 SPURS-2 Rawinsonde meteorological data for the E. Tropical Pacific field campaign R/V Revelle cruises POCLOUD STAC Catalog 2016-08-20 2017-11-10 -133.216, 5.139, -123.32, 12.35 https://cmr.earthdata.nasa.gov/search/concepts/C2491772347-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A Rawinsonde is a helium balloon carrying meteorological instruments and a radar target, enabling the velocity of atmospheric parameters to be measured. During the first Revelle cruise, rawinsondes were launched every 6-hours, providing a total of 85 profiles of temperature, humidity, wind speed and direction through the marine atmospheric boundary layer within the SPURS-2 domain. Similarly, during the second Revelle cruise, rawinsondes were deployed four-times daily within the study area over the 3-week period. SPURS2 rawinsonde data are available as netCDF, CF-compliant data files. proprietary
-SPURS2_SAILDRONE_1.0 SPURS-2 Saildrone data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2017-10-16 2017-11-17 -125, 8.5, -124.5, 10.9 https://cmr.earthdata.nasa.gov/search/concepts/C2491772348-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Two saildrones were deployed over a month period during the second SPURS-2 R/V Revelle cruise in 2017. Saildrone is a state-of-the-art, remotely guided, wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months. It is equipped with a suite of instruments and sensors providing high quality, georeferenced, near real-time, multi-parameter surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. Saildrone data files are in netCDF format and CF/ACDD/NCEI compliant. They contain the saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) for the entire cruise at 1 minute temporal resolution. proprietary
-SPURS2_SALINITYSNAKE_1.0 SPURS-2 Surface Salinity Snake data for the E. Tropical Pacific field campaign R/V Revelle cruises POCLOUD STAC Catalog 2016-08-16 2017-11-16 -155.8, 5.06, -117.3, 32.3 https://cmr.earthdata.nasa.gov/search/concepts/C2491772349-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The Salinity Snake (SS) measures sea surface salinity in the top 1 - 2 cm of the water column, which is the radiometric depth of L-Band satellite radiometers such as on Aquarius/SAC-D, SMAP and SMOS satellites that measure salinity remotely. The SS consists of four key components: a 10m boom mast, a hose, which is deployed from this boom, a powerful self-priming peristaltic pump which transports a constant stream of a seawater/air emulsion, and a shipboard apparatus, which filters, de-bubbles, sterilizes and analyses the salinity of the water. The SS was deployed during both SPURS-2 Revelle cruises. SS data series are provided in netCDF file format, one per cruise. proprietary
-SPURS2_SEAGLIDER_1.0 SPURS-2 Seaglider data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-24 2017-11-07 -126.122, 8.994, -122.128, 12.022 https://cmr.earthdata.nasa.gov/search/concepts/C2491772350-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The Seaglider is an autonomous profiler measuring salinity and temperature. A total of five Seagliders were deployed over the two SPURS2 cruises. Three Seagliders were deployed on the first Revelle cruise in August 2016, recovered by the Lady Amber after 7 months and redeployed, to be retrieved finally during the second cruise in November 2017. One of the Seagliders was deployed alongside and tracked the Lagrangian array across the study region, diving to depths of 1000m. All Seaglider data files are in netCDF format with standards compliant metadata. proprietary
-SPURS2_SSP_1.0 SPURS-2 Towed surface salinity profile (SSP) data for the E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-27 2017-11-11 -140.969, 6.546, -123.203, 16.502 https://cmr.earthdata.nasa.gov/search/concepts/C2491772351-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The towed Surface Salinity Profiler (SSP) platform is a converted paddleboard with a keel and surfboard outrigger that is tethered to the ship and skims the sea surface beyond the ships wake. Below the paddleboard are salinity and temperature sensors at depths of 10, 30, 50 and 100cm, and microstructure sensors that measure turbulence. The SSP was deployed 19 times throughout the first SPURS-2 cruise, totaling over 200 hours of measurements, and a further 15 times during the 2017 cruise. SSP deployment is most informative when there is a rain event leading to near-surface ocean stratification. The SSP then measures how the ocean changes over the periods before, during, and after rain, and how rainwater mixes into the ocean during recovery. All SSP data files are in netCDF format with standards compliant metadata. proprietary
-SPURS2_UCTD_1.0 SPURS-2 research vessel Underway CTD (uCTD) data for the E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-21 2017-11-11 -126.51, 5.09, -123.51, 13.97 https://cmr.earthdata.nasa.gov/search/concepts/C2491772352-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. An underway-CTD (uCTD) is a towed profiling CTD instrument providing salinity and temperature observations from the surface to 500m while underway at up to 12 kts. A total of 262 and 501 uCTD casts were performed during the first and second Revelle cruises respectively. uCTD data files (1 per cruise) are in netCDF format and each contain the observational data for multiple deployments, binned in 6 or 8m depth intervals. proprietary
-SPURS2_UNDERWAY_pCO2_DIC_pH_1.0 SPURS-2 underway surface pCO2, DIC and pH data for the E. Tropical Pacific field campaign R/V Revelle cruises POCLOUD STAC Catalog 2017-10-21 2017-11-13 -125.572, 1.383, -121.545, 16.411 https://cmr.earthdata.nasa.gov/search/concepts/C2491772353-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. During both Revelle cruises, continuous measurements of the partial pressure of CO2 (pCO2), dissolved inorganic carbon (DIC), and pH at surface (0m) and 5m depths were made on water pumped continuously from the Salinity Snake and the ship's intake port. In addition to these measurements, observational data from the salinity snake and thermosalinograph also include water temperature and salinity time series at the same depths. The temporal resolution of the observations range from 3 seconds (pH) to 3 minutes (DIC). All pCO2 and associated underway data comprising this dataset are in netCDF file format with standards compliant metadata. Due to issues with the quality of the 2016 underway data, only the data file for the 2017 cruise is available. proprietary
-SPURS2_USPS_1.0 SPURS-2 research vessel Underway Salinity Profiling System (USPS) data for the E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-15 2017-11-15 -157, 5.06, -119.5, 25.84 https://cmr.earthdata.nasa.gov/search/concepts/C2491772360-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Underway surface profiling systems (USPS) are automated measurement systems coupled to a research vessels water intake and GPS systems. They provide continuous, along-track surface temperature and salinity measurements at depths of 2, 3 and 5 m using through-hull ports in the bow of the ship. Both SPURS-2 cruises had USPS and associated thermosalinograph (TSG) instrumentation, with measurements calibrated against onboard salinometers. There is one USPS netCDF containing the complete series for each of the 2 cruises. proprietary
-SPURS2_WAMOS_1.0 SPURS-2 research vessel along track WAMOS wave radar data for the second R/V Revelle cruise in the E. Tropical Pacific POCLOUD STAC Catalog 2017-10-05 2017-11-16 -125.57, 5.06, -119.89, 24.2 https://cmr.earthdata.nasa.gov/search/concepts/C2491772361-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. The WaMoS wave radar instrument was available during the second R/V Revelle cruise of SPURS-2. WaMoS is a radar-based wave and surface current monitoring system providing wave field imagery and station time series or along track data series for key wave parameter in near near-real time. The single resulting SPURS-2 WaMos data file contains along track wave measurement from the R/V Revelle over the duration of this cruise (5 Oct. to 16 Nov. 2017) for the following essential wave field parameters: wave period, wave length, and wave direction, as well as surface current speed and direction. proprietary
-SPURS2_WAVEGLIDER_1.0 SPURS-2 Waveglider data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-24 2017-11-10 -126.4, 6.1, -108.8, 13.8 https://cmr.earthdata.nasa.gov/search/concepts/C2491772363-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project is comprised of two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. A Waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. For SPURS-2, sensors included a CTD at the near-surface and another at 6 m depth, providing continuous salinity and temperature observations plus air temperature and wind measurements. Three wavegliders (ASL22, 32, 42) were deployed from the Revelle in August 2016 and again in November 2017 before final retrieval at the conclusion on the second cruise. Waveglider trajectories followed a 20x20km square loop around the moorings and a butterfly pattern around the neutrally-buoyant float. NetCDF waveglider data files here (one per platform) contain hour averaged, georeferenced trajectory data for those parameters and depths. proprietary
-SPURS2_XBAND_1.0 SPURS-2 shipboard X-band radar backscatter data for the E. Tropical Pacific field campaign POCLOUD STAC Catalog 2017-10-21 2017-11-13 -129.131, 8.927, -122.151, 10.355 https://cmr.earthdata.nasa.gov/search/concepts/C2781659132-POCLOUD.umm_json The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. proprietary
-SPURS2_XBAND_IMG_1.0 SPURS-2 shipboard X-band radar backscatter images for the 2016 E. Tropical Pacific field campaign POCLOUD STAC Catalog 2016-08-31 2016-09-22 -129.131, 8.927, -122.151, 10.355 https://cmr.earthdata.nasa.gov/search/concepts/C2931233351-POCLOUD.umm_json The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. proprietary
-SPURS2_XBT_1.0 SPURS-2 research vessel Expendable Bathythermograph (XBT) profile data for E. Tropical Pacific R/V Revelle cruises POCLOUD STAC Catalog 2016-08-14 2017-11-15 -157.88, 5.06, -118.32, 21.26 https://cmr.earthdata.nasa.gov/search/concepts/C2491772372-POCLOUD.umm_json The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is NASA-funded oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D, SMAP and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-2 campaign involved two month-long cruises by the R/V Revelle in August 2016 and October 2017 combined with complementary sampling on a more continuous basis over this period by the schooner Lady Amber. Focused around a central mooring located near 10N,125W, the objective of SPURS-2 was to study the dynamics of the rainfall-dominated surface ocean at the western edge of the eastern Pacific fresh pool subject to high seasonal variability and strong zonal flows associated with the North Equatorial Current and Countercurrent. Expendable bathythermograph (XBT) casts were undertaken at stations during both of the SPURS-2 R/V Revelle cruises. Launched off the side of the ship, XBT probes provide vertical profile measurements of the water column at fixed locations. There were a total of 25 and 11 XBT deployments made during the first and second R/V Revelle cruises respectively. There is one XBT data file per cruise, each containing the temperature profile data from all instrument deployments undertaken during that cruise. proprietary
SRB_REL3.0_SW_3HRLY_MONTHLY_UTC_NC_1 Surface Radiation Budget (SRB) Release 3.0 Shortwave 3 hourly monthly UTC data in netcdf format LARC_ASDC STAC Catalog 1983-07-01 2007-12-31 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2184128386-LARC_ASDC.umm_json The data set contains monthly average/3-hourly (also calleddiurnally-resolved monthly average or just 'diurnal' for brevity) global fieldsof 11 shortwave (SW) surface radiative parameters derived with the Shortwavealgorithm of the NASA World Climate Research Programme /Global Energy andWater-Cycle Experiment (WCRP/GEWEX) Surface Radiation Budget (SRB) Project.The data is generated using the Pinker/Laszlo shortwave algorithm (R.T. Pinkerand I. Laszlo, 1992: Modeling Surface Solar Irradiance for SatelliteApplications on a Global Scale, J. Appl. Met., 31, 194-211).These parameters were derived originally on a 3-hourly temporal resolution(i.e., a global instantaneous gridded field every 3 hours), at UT hours 00, 03,06, 09, 12, 15, 18, and 21 for every day of the month. The 3-hourly values wereused to compute monthly averages separately for each of the 8 UT hours. Thecurrent version of the data is identified as Release 3.0. proprietary
SRDB_V5_1827_5 A Global Database of Soil Respiration Data, Version 5.0 ORNL_CLOUD STAC Catalog 1961-01-01 2017-12-31 -163.71, -78.02, 175.9, 81.8 https://cmr.earthdata.nasa.gov/search/concepts/C2216864433-ORNL_CLOUD.umm_json The Soil Respiration Database (SRDB) is a near-universal compendium of published soil respiration (Rs) data. The database encompasses published studies that report at least one of the following data measured in the field (not laboratory): annual soil respiration, mean seasonal soil respiration, a seasonal or annual partitioning of soil respiration into its source fluxes, soil respiration temperature response (Q10), or soil respiration at 10 degrees C. The SRDB's orientation is to seasonal and annual fluxes, not shorter-term or chamber-specific measurements, and the database is dominated by temperate, well-drained forest measurement locations. Version 5 (V5) is the compilation of 2,266 published studies with measurements taken between 1961-2017. V5 features more soil respiration data published in Russian and Chinese scientific literature for better global spatio-temporal coverage and improved global climate-space representation. The database is also restructured to have better interoperability with other datasets related to carbon-cycle science. proprietary
SRE4_SAB_gammaclones_1 Clone library using primers for gammaproteobacteria from an SAB treatment in the SRE4 experiment AU_AADC STAC Catalog 2002-12-01 2002-12-31 110, -66, 110, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313841-AU_AADC.umm_json A clone library was created from DNA extracted from an SAB-treated sample from the SRE4 in situ biodegradation experiment. The clone libary was created using one universal primer and one primer designed to be specific for the gammaproteobacteria. Sequences of approximately 600 bp were obtained. The samples used in this experiment were collected from O'Brien Bay, near Casey Station in the Windmill Islands. Gammaproteobacteria clone library Clone library created from SRE4 T2 SAB sample using primers 10F (GAG TTT GAT CCT GGC TCA G ) and GAMR (GGT AAG GTT CTT CGC GTT GCA T). Clones sequenced on a CEQ8000 Genetic Analysis system (Beckman-Coulter) and alignments were done in BioEdit v 5.0.9. Text file SRE4gammaclonesalign is a text version of BioEdit file SRE4gammaclones. This work was completed as part of ASAC project 2672 (ASAC_2672). proprietary
@@ -10601,7 +9321,6 @@ SRTMIMGR_003 NASA Shuttle Radar Topography Mission Swath Image Data V003 LPCLOUD
SRTMSWBD_003 NASA Shuttle Radar Topography Mission Water Body Data Shapefiles & Raster Files V003 LPCLOUD STAC Catalog 2000-02-11 2000-02-21 -180, -56, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2763268445-LPCLOUD.umm_json The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs)(https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Shuttle Radar Topography Mission (SRTM), which includes the Water Body Data Shapefiles and Raster Files (~30 m) product. Version 3.0 contains the vectorized coastline masks used by National Geospatial-Intelligence Agency (NGA) in the editing, called the SRTM Waterbody Data (SWBD), in shapefile and rasterized formats. The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the NGA (previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth’s total landmass. proprietary
SSBUVIRR_008 Shuttle SBUV (SSBUV) Solar Spectral Irradiance V008 (SSBUVIRR) at GES DISC GES_DISC STAC Catalog 1989-10-19 1996-01-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1273652226-GES_DISC.umm_json The Shuttle Solar Backscatter Ultraviolet (SSBUV) level-2 irradiance data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flown on the NOAA polar orbiting satellites. Data are available in an ASCII text format. UV irradiance data are available for the following days from the eight missions: Flight #1: 1989 October 19, 20, 21 Flight #2: 1990 October 7, 8, 9 Flight #3: 1991 August 3, 4, 5, 6 Flight #4: 1992 March 29, 30 Flight #5: 1993 April 9, 11, 13, 15, 16 Flight #6: 1994 March 14, 15, 17 Flight #7: 1994 November 5, 7, 10, 13 Flight #8: 1996 January 12, 16, 18 The Shuttle SBUV (SSBUV) instrument measured solar spectral UV irradiance during the maximum and declining phase of solar cycle 22. The SSBUV data accurately represent the absolute solar UV irradiance between 200-405 nm, and also show the long-term variations during eight flights between October 1989 and January 1996. These data have been used to correct long-term sensitivity changes in the NOAA-11 SBUV/2 data, which provide a near-daily record of solar UV variations over the 170-400 nm region between December 1988 and October 1994. These data demonstrate the evolution of short-term solar UV activity during solar cycle 22. proprietary
SSBUVO3_008 Shuttle SBUV (SSBUV) Level 2 Ozone Profile and Total Column, Aerosol Index, and UV-Reflectivity V008 (SSBUVO3) at GES DISC GES_DISC STAC Catalog 1989-10-19 1996-01-18 -180, -57, 180, 58 https://cmr.earthdata.nasa.gov/search/concepts/C1273652228-GES_DISC.umm_json The Shuttle Solar Backscatter Ultraviolet (SSBUV) Level-2 Ozone data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flying on the NOAA satellites. Data are available in the ASCII AMES text format. Ozone profiles of the upper atmosphere and total column ozone values are available for the following time periods: Flight #1: 1989 October 19, 20, 21. Flight #2: 1990 October 7, 8, 9. Flight #3: 1991 August 3, 4, 5, 6. Flight #4: 1992 March 29, 31. Flight #5: 1993 April 9, 11, 13, 15, 16. Flight #6: 1994 March 14, 15, 17. Flight #7: 1994 November 5, 7, 10, 13. Flight #8: 1996 January 12, 16, 18. SSBUV measures spectral ultraviolet radiances backscattered by the earth's atmosphere. For the ozone measurements the instrument steps over wavelengths between 252.2 and 339.99 nm while viewing the earth in the nadir position (50 km x 50 km footprint at nadir) at 19 pressure levels between 0.3 mb and 100 mb. proprietary
-SSEC-AMRC-AIRCRAFT_Not provided Aircraft meteorological reports over Antarctica SCIOPS STAC Catalog 2004-04-04 2015-08-31 -180, -90, 180, 0 https://cmr.earthdata.nasa.gov/search/concepts/C1214605495-SCIOPS.umm_json The AMRC has been archiving the Aircraft data since the 2000's in the ftp archive. Products used to be made in real-time, but data collection has ended starting 31 August, 2015. proprietary
SSFR_irradiance_841_1 SAFARI 2000 Solar Spectral Flux Radiometer Data, Southern Africa, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-17 2000-09-16 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788411266-ORNL_CLOUD.umm_json The Solar Spectral Flux Radiometer (SSFR) was deployed on the University of Washington CV-580 during the dry season component of the Southern African Regional Science Initiative, August 1 - September 20, 2000. The SSFR made simultaneous measurements of both downwelling and upwelling net solar spectral irradiance at varying flight levels. Data have been provided for twenty flights in netcdf format for the period August 17 - September 16, 2000.For a complete detailed guide to the extensive measurements obtained aboard the UW Convair-580 aircraft in support of SAFARI 2000, see the UW Technical Report for the SAFARI 2000 Project. proprietary
STAQS_AircraftRemoteSensing_JSC-GV_GCAS_Data_1 STAQS JSC GV GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator Data LARC_CLOUD STAC Catalog 2023-06-26 2023-08-17 -120.3, 33.36, -72, 44.56 https://cmr.earthdata.nasa.gov/search/concepts/C2862468660-LARC_CLOUD.umm_json STAQS_AircraftRemoteSensing_JSC-GV_GCAS_Data is the remotely sensed trace gas data for the JSC Gulfstream V aircraft taken by the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS) instrument as part of the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science and enhance societal benefit. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, assessing the benefit of assimilating TEMPO data into chemical transport models, and linking air quality patterns to socio-demographic data. proprietary
STAQS_AircraftRemoteSensing_JSC-GV_HSRL2_Data_1 STAQS JSC GV High Spectral Resolution Lidar-2 Data LARC_CLOUD STAC Catalog 2023-06-24 2023-08-16 -119.8, 29.25, -72.1, 44.22 https://cmr.earthdata.nasa.gov/search/concepts/C2862479332-LARC_CLOUD.umm_json STAQS_AircraftRemoteSensing_JSC-GV_HSRL2_Data is the remotely sensed trace gas data for the JSC Gulfstream V aircraft taken by the High Spectral Resolution Lidar-2 (HSRL-2) as part of the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science and enhance societal benefit. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, assessing the benefit of assimilating TEMPO data into chemical transport models, and linking air quality patterns to socio-demographic data. proprietary
@@ -10696,89 +9415,6 @@ SWDB_L3M10_004 SeaWiFS Deep Blue Aerosol Optical Depth and Angstrom Exponent Mon
SWDB_L3MC05_004 SeaWiFS Deep Blue Aerosol Optical Thickness Monthly Level 3 Climatology Data Gridded at 0.5 Degrees V004 (SWDB_L3MC05) at GES DISC GES_DISC STAC Catalog 1997-09-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239900191-GES_DISC.umm_json The SeaWiFS Deep Blue Level 3 monthly climatology product contains monthly global climatology gridded (0.5 x 0.5 deg) data derived from SeaWiFS Deep Blue Level 3 monthly gridded data. The primary data parameters are aerosol optical thickness. proprietary
SWDB_L3MC10_004 SeaWiFS Deep Blue Aerosol Optical Thickness Monthly Level 3 Climatology Data Gridded at 1.0 Degrees V004 (SWDB_L3MC10) at GES DISC GES_DISC STAC Catalog 1997-09-01 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1239900203-GES_DISC.umm_json The SeaWiFS Deep Blue Level 3 Monthly Climatology Product contains monthly global climatology gridded (1 x 1 deg) data derived from SeaWiFS Deep Blue Level 3 monthly gridded data. The primary data parameters are aerosol optical thickness. proprietary
SWFL_0 Southwest Florida optical measurements OB_DAAC STAC Catalog 2010-04-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360669-OB_DAAC.umm_json Measurements made near southwest Florida in 2010 and 2011. proprietary
-SWOT_ATTD_RECONST_2.0_2.0 SWOT Satellite Reconstructed Attitude Data POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799436707-POCLOUD.umm_json Satellite attitude reconstructed from combination of onboard gyro and star tracker data. Daily 26-hour files centered at 12:00:00 (TAI) provide quaternions to represent the rotation between the spacecraft body-fixed KaRIn Metering Structure Reference Frame and the inertial Geocentric Celestial Reference Frame. Available in netCDF-4 file format with latency of < 1.5 days. proprietary
-SWOT_L1B_HR_SLC_1.1_1.1 SWOT Level 1B High-Rate Single-look Complex Data Product, Version 1.1 POCLOUD STAC Catalog 1980-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2758162616-POCLOUD.umm_json High rate data processed to single-look complex SAR images for each antenna. Gridded tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format. proprietary
-SWOT_L1B_HR_SLC_2.0_2.0 SWOT Level 1B High-Rate Single-look Complex Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438119-POCLOUD.umm_json High rate data processed to single-look complex SAR images for each antenna. Gridded tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products. proprietary
-SWOT_L1B_LR_INTF_1.0_1.0 SWOT Level 1B Low-Rate Interferogram Data Product, Version 1.0 POCLOUD STAC Catalog 2022-12-16 2023-11-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2296989340-POCLOUD.umm_json Interferograms for each of the 9 Doppler beams formed and spatially averaged (low rate) by the On Board Processor, corrected on the ground for phase biases (inherent to the processing applied on board). The geometry of the measurements is also reported for use in subsequent processing. Gridded; full swath for each half orbit. Available in netCDF-4 file format. proprietary
-SWOT_L1B_LR_INTF_1.1_1.1 SWOT Level 1B Low-Rate Interferogram Data Product, Version 1.1 POCLOUD STAC Catalog 2023-03-29 2023-07-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2746459618-POCLOUD.umm_json Interferograms for each of the 9 Doppler beams formed and spatially averaged (low rate) by the On Board Processor, corrected on the ground for phase biases (inherent to the processing applied on board). The geometry of the measurements is also reported for use in subsequent processing. Gridded; full swath for each half orbit. Available in netCDF-4 file format. proprietary
-SWOT_L1B_LR_INTF_2.0_2.0 SWOT Level 1B Low-Rate Interferogram Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438202-POCLOUD.umm_json Interferograms for each of the 9 Doppler beams formed and spatially averaged (low rate) by the On Board Processor, corrected on the ground for phase biases (inherent to the processing applied on board). The geometry of the measurements is also reported for use in subsequent processing. Gridded; full swath for each half orbit. Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products. proprietary
-SWOT_L1_DORIS_RINEX_1.0_1.0 SWOT Level 1 Onboard Tracking Data from Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) POCLOUD STAC Catalog 1950-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2296989333-POCLOUD.umm_json Tracking data measurements from the Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) payload receiver onboard SWOT. The tracking data are generated using signals from DORIS ground beacons and are used to perform precise orbit determination of the SWOT spacecraft. They are also used to compute the precise orbit ephemeris (POE), and the medium-accuracy orbit ephemeris (MOE) used for SWOT data processing. Distributed as one file per day in RINEX file format, available with latency of < 2 days. proprietary
-SWOT_L1_GPSP_RINEX_1.0_1.0 SWOT Level 1 Onboard Tracking Data from Global Positioning System Payload (GPSP) POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2296989336-POCLOUD.umm_json GPS tracking data measurements from the GPS Payload (GPSP) receiver onboard SWOT. The tracking data are generated by the GPSP using signals from the GPS constellation of satellites and are used to perform precise orbit determination of the SWOT spacecraft. They are also used to compute the precise orbit ephemeris (POE), and the medium-accuracy orbit ephemeris (MOE) used for SWOT data processing. Distributed as one RINEX file per data downlink regardless of temporal coverage, available with latency of < 2 days. proprietary
-SWOT_L2_HR_LakeAvg_2.0_2.0 SWOT Level 2 Lake Cycle-Averaged Data Product, Version 2.0 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438221-POCLOUD.umm_json Cycle average and aggregation of lake pass data within predefined hydrological basins. Basin for each cycle. Available in Shapefile file format. proprietary
-SWOT_L2_HR_LakeSP_1.1_1.1 SWOT Level 2 Lake Single-Pass Vector Data Product, Version 1.1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2758162595-POCLOUD.umm_json Shapefiles of lakes identified in prior lake database and detected features not in the prior river or lake databases. Lake attributes include water surface elevation, area, derived storage change. Full swath covering individual continents for each half orbit. Available in Shapefile file format. proprietary
-SWOT_L2_HR_LakeSP_2.0_2.0 SWOT Level 2 Lake Single-Pass Vector Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438230-POCLOUD.umm_json "The SWOT Level 2 Lake Single-Pass Vector Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a PLD-oriented feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_obs_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_prior_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_unassigned_2.0
" proprietary
-SWOT_L2_HR_LakeSP_obs_2.0_2.0 SWOT Level 2 Lake Single-Pass Vector Obs Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438239-POCLOUD.umm_json "The SWOT Level 2 Lake Single-Pass Vector Obs Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains observation-oriented feature datasets of lakes identified in the prior lake database (PLD)." proprietary
-SWOT_L2_HR_LakeSP_prior_2.0_2.0 SWOT Level 2 Lake Single-Pass Vector Prior Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438247-POCLOUD.umm_json "The SWOT Level 2 Lake Single-Pass Vector Prior Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains feature datasets of lakes identified in the PLD." proprietary
-SWOT_L2_HR_LakeSP_unassigned_2.0_2.0 SWOT Level 2 Lake Single-Pass Vector Unassigned Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438254-POCLOUD.umm_json "The SWOT Level 2 Lake Single-Pass Vector Unassigned Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)). These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains feature datasets of unassigned water features that were not identified in the PLD or PRD." proprietary
-SWOT_L2_HR_PIXCVec_1.1_1.1 SWOT Level 2 Water Mask Pixel Cloud Auxiliary Data Product, Version 1.1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2762949418-POCLOUD.umm_json Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format. proprietary
-SWOT_L2_HR_PIXCVec_2.0_2.0 SWOT Level 2 Water Mask Pixel Cloud Auxiliary Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438260-POCLOUD.umm_json Auxiliary information for pixel cloud product indicating to which water bodies the pixels are assigned in river and lake products. Also includes height-constrained pixel geolocation after reach- or lake-scale averaging. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products. proprietary
-SWOT_L2_HR_PIXC_1.1_1.1 SWOT Level 2 Water Mask Pixel Cloud Data Product, Version 1.1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2758162620-POCLOUD.umm_json Point cloud of water mask pixels (“pixel cloud”) with geolocated heights, backscatter, geophysical fields, and flags. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format. proprietary
-SWOT_L2_HR_PIXC_2.0_2.0 SWOT Level 2 Water Mask Pixel Cloud Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438266-POCLOUD.umm_json Point cloud of water mask pixels (“pixel cloud”) with geolocated heights, backscatter, geophysical fields, and flags. Point cloud over tile (approx 64x64 km2); half swath (left or right side of full swath). Available in netCDF-4 file format.
Please note that this collection contains SWOT Version C science data products. proprietary
-SWOT_L2_HR_Raster_1.1_1.1 SWOT Level 2 Water Mask Raster Image Data Product, Version 1.1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2765423410-POCLOUD.umm_json Rasterized water surface elevation and inundation extent in geographically fixed tiles at resolutions of 100 m and 250 m in a Universal Transverse Mercator projection grid. Provides rasters with water surface elevation, area, water fraction, backscatter, geophysical information. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats. Gridded scene (approx 128x128 km2, georeferenced); full swath. Available in netCDF-4 file format. proprietary
-SWOT_L2_HR_Raster_100m_2.0_2.0 SWOT Level 2 Water Mask Raster Image 100m Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438280-POCLOUD.umm_json "The SWOT Level 2 Water Mask Raster Image 100m Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.\r\n
Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at 100 meter horizontal resolution in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_2.0 " proprietary
-SWOT_L2_HR_Raster_2.0_2.0 SWOT Level 2 Water Mask Raster Image Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438271-POCLOUD.umm_json "The SWOT Level 2 Water Mask Raster Image Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at resolutions of 100 m and 250 m in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_100m_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_250m_2.0
" proprietary
-SWOT_L2_HR_Raster_250m_2.0_2.0 SWOT Level 2 Water Mask Raster Image 250m Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438288-POCLOUD.umm_json "The SWOT Level 2 Water Mask Raster Image 250m Data Product from the Surface Water Ocean Topography (SWOT) mission provides global surface water elevation and inundation extent derived from high rate (HR) measurements from the Ka-band Radar Interferometer (KaRIn) on SWOT. SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.\r\n
Water surface elevation, area, water fraction, backscatter, geophysical information are provided in geographically fixed scenes at 250 meter horizontal resolution in Universal Transverse Mercator (UTM) projection. Available in netCDF-4 file format. On-demand processing available to users for different resolutions, sampling grids, scene sizes, and file formats.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_Raster_2.0 " proprietary
-SWOT_L2_HR_RiverAvg_2.0_2.0 SWOT Level 2 River Cycle-Averaged Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438293-POCLOUD.umm_json Cycle average and aggregation of river reach pass data within predefined hydrological basins. Basin for each cycle. Available in Shapefile file format.
Please note that this collection contains SWOT Version C science data products. proprietary
-SWOT_L2_HR_RiverSP_1.1_1.1 SWOT Level 2 River Single-Pass Vector Data Product, Version 1.1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2758162622-POCLOUD.umm_json Shapefiles of river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in prior river database. Reach attributes include water surface elevation, slope, width, derived discharge. Full swath covering individual continents for each half orbit. Available in Shapefile file format. proprietary
-SWOT_L2_HR_RiverSP_2.0_2.0 SWOT Level 2 River Single-Pass Vector Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438299-POCLOUD.umm_json "The SWOT Level 2 River Single-Pass Vector Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_node_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_reach_2.0
" proprietary
-SWOT_L2_HR_RiverSP_node_2.0_2.0 SWOT Level 2 River Single-Pass Vector Node Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438301-POCLOUD.umm_json "The SWOT Level 2 River Single-Pass Vector Node Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river nodes. " proprietary
-SWOT_L2_HR_RiverSP_reach_2.0_2.0 SWOT Level 2 River Single-Pass Vector Reach Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438303-POCLOUD.umm_json "The SWOT Level 2 River Single-Pass Vector Reach Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format.
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river reaches. " proprietary
-SWOT_L2_LR_SSH_1.0_1.0 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2357536365-POCLOUD.umm_json Sea surface height data product with data from the KaRIn swath spanning 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. Gridded; full swath for each half orbit. Available in netCDF-4 file format. proprietary
-SWOT_L2_LR_SSH_1.1_1.1 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product, Version 1.1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2746459620-POCLOUD.umm_json Sea surface height data product with data from the KaRIn swath spanning 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. Gridded; full swath for each half orbit. Available in netCDF-4 file format. proprietary
-SWOT_L2_LR_SSH_2.0_2.0 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438306-POCLOUD.umm_json "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 ""native"" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This dataset is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_Basic_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_WindWave_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_Expert_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_Unsmoothed_2.0
" proprietary
-SWOT_L2_LR_SSH_BASIC_2.0_2.0 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - Basic, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799465428-POCLOUD.umm_json "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Basic Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 ""native"" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the ""Basic"" file from each L2 SSH product, which contains a limited set of variables and is aimed at the general user." proprietary
-SWOT_L2_LR_SSH_EXPERT_2.0_2.0 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - Expert, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799465497-POCLOUD.umm_json "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Expert Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 ""native"" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the ""Expert"" file from each L2 SSH product, which contain all related variables and is intended for expert users." proprietary
-SWOT_L2_LR_SSH_UNSMOOTHED_2.0_2.0 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - Unsmoothed, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799465503-POCLOUD.umm_json "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Unsmoothed Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 ""native"" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the ""Unsmoothed"" file from each L2 SSH product, which includes all related variables on the finer resolution ""native"" grid with minimal smoothing applied." proprietary
-SWOT_L2_LR_SSH_WINDWAVE_2.0_2.0 SWOT Level 2 KaRIn Low Rate Sea Surface Height Data Product - WindWave, Version C POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799465507-POCLOUD.umm_json "The SWOT Level 2 KaRIn Low Rate Sea Surface Height Windwave Data Product from the Surface Water Ocean Topography (SWOT) mission provides global sea surface height and significant wave height observations derived from low rate (LR) measurements from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the ""calibration"" or ""fast-sampling"" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the ""science"" phase of the mission, which is expected to continue through 2025.
The L2 sea surface height data product is distributed in one netCDF-4 file per pass (half-orbit) covering the full KaRIn swath width, which spans 10-60km on each side of the nadir track. Sea surface height, sea surface height anomaly, wind speed, significant waveheight, and related parameters are provided on a geographically fixed, swath-aligned 2x2 km2 grid (Basic, Expert, Windwave). The sea surface height data are also provided on a finer 250x250 m2 ""native"" grid with minimal smoothing applied (Unsmoothed).
Please note that this collection contains SWOT Version C science data products.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_LR_SSH_2.0 It provides the ""Windwave"" file from each L2 SSH product, which includes significant wave height (SWH), normalized radar cross section (NRCS or backscatter cross section or sigma0), wind speed derived from sigma0 and SWH, model information on wind and waves, and quality flags." proprietary
-SWOT_L2_NALT_GDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799438313-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_SSHA_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_GDR_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_SGDR_2.0
proprietary
-SWOT_L2_NALT_GDR_GDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - GDR POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465509-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0 proprietary
-SWOT_L2_NALT_GDR_SGDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - SGDR POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465518-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0 proprietary
-SWOT_L2_NALT_GDR_SSHA_2.0_2.0 SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - SSHA POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465522-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0 proprietary
-SWOT_L2_NALT_IGDR_1.0_1.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2296989380-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The IGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) and preliminary values for certain auxiliary data. The IGDR data are distributed as one file per half orbit in netCDF-4 file format with a nominal latency of < 1.5 days. proprietary
-SWOT_L2_NALT_IGDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799438335-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The IGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) and preliminary values for certain auxiliary data. The IGDR data are distributed as one file per half orbit in netCDF-4 file format with a nominal latency of < 1.5 days.
This collection is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_SSHA_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_GDR_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_SGDR_2.0
proprietary
-SWOT_L2_NALT_IGDR_GDR_1.0_1.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - GDR, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2628598809-POCLOUD.umm_json Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format. proprietary
-SWOT_L2_NALT_IGDR_GDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - GDR POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465526-POCLOUD.umm_json Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_2.0 proprietary
-SWOT_L2_NALT_IGDR_SGDR_1.0_1.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SGDR, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2628600898-POCLOUD.umm_json Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format. proprietary
-SWOT_L2_NALT_IGDR_SGDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SGDR POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465529-POCLOUD.umm_json Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_2.0 proprietary
-SWOT_L2_NALT_IGDR_SSHA_1.0_1.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SSHA, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2628598397-POCLOUD.umm_json Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format. proprietary
-SWOT_L2_NALT_IGDR_SSHA_2.0_2.0 SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - SSHA POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465538-POCLOUD.umm_json Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_IGDR_2.0 proprietary
-SWOT_L2_NALT_OGDR_1.0_1.0 SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2296989383-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record (OGDR) with Waveforms Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The OGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the onboard DORIS orbit ephemeris, with predicted values for certain auxiliary data and no GIM ionosphere model values. The OGDR data are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours. proprietary
-SWOT_L2_NALT_OGDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799438345-POCLOUD.umm_json The SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record (OGDR) with Waveforms Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The OGDR dataset consists of discrete measurements along the nadir track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using the onboard DORIS orbit ephemeris, with predicted values for certain auxiliary data and no GIM ionosphere model values. The OGDR data are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.
This collection is the parent collection to the following sub-collections:
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_SSHA_2.0
https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_GDR_2.0
proprietary
-SWOT_L2_NALT_OGDR_GDR_1.0_1.0 SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - GDR, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2628595723-POCLOUD.umm_json Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format. proprietary
-SWOT_L2_NALT_OGDR_GDR_2.0_2.0 SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - GDR POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465542-POCLOUD.umm_json Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_2.0 proprietary
-SWOT_L2_NALT_OGDR_SSHA_1.0_1.0 SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - SSHA, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2628593693-POCLOUD.umm_json Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format. proprietary
-SWOT_L2_NALT_OGDR_SSHA_2.0_2.0 SWOT Level 2 Nadir Altimeter Operational Geophysical Data Record with Waveforms - SSHA POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799465544-POCLOUD.umm_json Same as L2_NALT_GDR using predicted values for some auxiliary data, and does not have GIM ionosphere model values. Uses the onboard DORIS orbit ephemeris. Available with latency of < 7 hours. Discrete measurements at nadir for each data downlink, along the ground track. Available in netCDF-4 file format.
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_OGDR_2.0 proprietary
-SWOT_L2_RAD_GDR_2.0_2.0 SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Data Product POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799438350-POCLOUD.umm_json The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Geophysical Data Record (GDR) dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. This radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Precise Orbit Ephemeris (POE) and analyzed calibrations. The data are available with latency of < 90 days and distributed in netCDF-4 file format. proprietary
-SWOT_L2_RAD_IGDR_1.0_1.0 SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2296989388-POCLOUD.umm_json The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days. proprietary
-SWOT_L2_RAD_IGDR_2.0_2.0 SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799438351-POCLOUD.umm_json The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Geophysical Data Record (IGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The interim radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. The data were processed using the Medium-accuracy (preliminary) Orbit Ephemeris (MOE) with preliminary calibrations applied. They are distributed as one file per half-orbit in netCDF4 file format with a nominal latency of < 1.5 days. proprietary
-SWOT_L2_RAD_OGDR_1.0_1.0 SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Data Product, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2296989390-POCLOUD.umm_json The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Geophysical Data Record (OGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The operational radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. They were processed using the onboard DORIS orbit ephemeris and preliminary calibrations. They are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours. proprietary
-SWOT_L2_RAD_OGDR_2.0_2.0 SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Data Product POCLOUD STAC Catalog 2022-12-16 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2799438353-POCLOUD.umm_json The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Geophysical Data Record (OGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The operational radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. They were processed using the onboard DORIS orbit ephemeris and preliminary calibrations. They are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours. proprietary
-SWOT_L3_LR_SSH_1.0_1.0 SWOT-AVISO Level 3 KaRIn Low Rate Sea Surface Height Data Products, Version 1.0 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3206530454-POCLOUD.umm_json This SWOT_L3_LR_SSH product provides ocean topography measurements obtained from the SWOT KaRIn and Nadir altimeter instruments, merged into a single variable. The dataset includes measurements from KaRIn swaths on both sides of the image, while the measurements from the Nadir altimeter are located in the central columns. In the areas between the Nadir track and the two KaRIn swaths, as well as on the outer edges of each swath (restricted to cross-track distances ranging from 10 to 60 km), default values are expected. This is a cross-calibrated product from multiple missions that contains only the ocean topography content necessary for thematic research (e.g., oceanography, geodesy) and related applications. This product is designed to be simple and ready-to-use, and can be combined with other altimetry missions. The SWOT_L3_LR_SSH product is a research-orientated extension of the L2_LR_SSH product, distributed by the SWOT project (NASA/JPL and CNES). This L3 product is managed by the SWOT Science Team project DESMOS. proprietary
-SWOT_L4_DAWG_SOS_DISCHARGE_1 SWOT Sword of Science River Discharge Products Version 1 POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2777002894-POCLOUD.umm_json The SWOT Sword of Science River Discharge Products dataset from the Surface Water and Ocean Topography (SWOT) mission and produced by the Discharge Algorithm Working Group (DAWG), provides estimates of river discharge derived from the SWOT Level 2 River Single-Pass Vector Data Product, and includes both unconstrained and gauge constrained estimates that leverage in-situ measurements. The SWOT mission is implemented jointly by NASA and Centre National D'Etudes Spatiales (CNES) to provide valuable data and information about the world's oceans and its terrestrial surface water such as lakes, rivers, and wetlands. Sword of Science data products are generated from the open-source SWOT Confluence program and contain river discharge parameter estimates as well as discharge time series for both river reaches and river nodes, following the SWOT River Database (SWORD) structure. Granules from both constrained and unconstrained branches are composed of prior information (e.g., mean annual flow predicted by global hydrological models) and the resulting discharge estimates. Priors and results files for both constrained and unconstrained branches are available in netCDF format. Users are encouraged to reference the SWOT Confluence documentation and notebook tutorials for full documentation of the data structure and variables available. Development of the SWOT Confluence program as well as the Sword of Science data products was funded by NASA’s Advanced Information Systems Technology (AIST) program. proprietary
-SWOT_MOE_1.0_1.0 SWOT Medium-accuracy Orbit Ephemeris (MOE) POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2296989401-POCLOUD.umm_json Medium-accuracy Orbit Ephemeris (MOE) providing position and velocity vectors of satellite center of mass used in forward stream processing. MOE products are organized into daily files, spanning 26 hours and centered at 12:00:00 (TAI) of each day (i.e., from day D-1 23:00 to day D+1 01:00 TAI time). Available in netCDF-4 file format with latency of < 1.5 days. proprietary
-SWOT_POE_2.0_2.0 SWOT Precise Orbit Ephemeris (POE) POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2799438359-POCLOUD.umm_json Precise Orbit Ephemeris (POE) providing position and velocity vectors of satellite center of mass used in the first SWOT reprocessing. POE products are organized into daily files, spanning 26 hours and centered at 12:00:00 (TAI) of each day (i.e., from day D-1 23:00 to day D+1 01:00 TAI time). Available in netCDF-4 file format with latency of < 35 days. proprietary
-SWOT_PRELAUNCH_L2_BPR_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign NOAA Bottom Pressure Recorders (BPR) POCLOUD STAC Catalog 2019-09-04 2020-01-19 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635767-POCLOUD.umm_json This dataset provides the bottom pressure measurements collected during the 2019-2020 SWOT prelaunch field campaign conducted around the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. The Paroscientific Digiquartz pressure sensor was used. The data are recorded on a 15-second interval. proprietary
-SWOT_PRELAUNCH_L2_GLIDER_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign Rutgers Slocum Gliders POCLOUD STAC Catalog 2019-09-05 2019-12-28 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635647-POCLOUD.umm_json This dataset provides the Conductivity, Temperature, and Depth measurements carried by a Slocum glider. The measurements were collected during the 2019-2020 SWOT prelaunch field campaign conducted near the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. It has 883 CTD profiles with glider diving depths varying between 500 m and 1000 m. Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_PRELAUNCH_L2_GPS_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign JPL Global Positioning Systems (GPS) POCLOUD STAC Catalog 2019-09-05 2020-01-19 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635778-POCLOUD.umm_json This dataset provides the 1Hz time series of the sea surface height measured by a surface buoy equipped with a Global Position System (GPS). The GPS-mooring was deployed by the SWOT prelaunch field campaign conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The GPS measurements represent the total sea surface height including the Inverted barometer component. The same mooring also carries fixed-depth CTD sensors https://doi.org/10.5067/SWTPR-CTD11. They were used together with atmospheric pressure and bottom pressure measurements to close the sea surface equation (Wang et al., 2022). The campaign also deployed another two CTD moorings, a slocum glider, and a Pressure Inverted Echo Sounder (PIES). Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_PRELAUNCH_L2_PIES_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Pressure-sensing Inverted Echo Sounder (PIES) POCLOUD STAC Catalog 2019-09-06 2020-01-18 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635776-POCLOUD.umm_json This dataset provides the in-situ measurements from a Pressure-sensing Inverted Echo Sounder (PIES) deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The campaign also deployed three CTD moorings, a slocum glider, and another bottom pressure recorder. The PIES measurements include bottom pressure and the round-trip travel time from the IES, which can be used to derive equivalent steric height through regression. Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_PRELAUNCH_L2_PRAWLER_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign NOAA Prawlers POCLOUD STAC Catalog 2019-09-05 2020-01-06 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635764-POCLOUD.umm_json This dataset provides the conductivity, temperature and depth (CTD) profiles from a Prawler profiler mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_PRELAUNCH_L2_SIOCTD_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Moored Fixed-Depth CTDs POCLOUD STAC Catalog 2019-09-05 2020-01-18 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635779-POCLOUD.umm_json This dataset provides the conductivity, temperature and depth (CTD) measurements from the fixed-depth CTD sensors mounted on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. These fixed-depth CTDs are below 500 m while the upper part of the mooring has a WireWalker (WW) profiler. The CTD data from WW is available here https://doi.org/10.5067/SWTPR-WW001. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_PRELAUNCH_L2_WHOICTD_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign WHOI/NOAA Moored Fixed-Depth CTDs POCLOUD STAC Catalog 2019-09-04 2020-01-19 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2235488579-POCLOUD.umm_json This dataset provides the conductivity, temperature and depth (CTD) measurements from the fixed-depth CTD sensors mounted on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. These fixed-depth CTDs cover the full depth from the ocean surface to the bottom. The surface buoy is equipped with a Global Positioning System (GPS) https://doi.org/10.5067/SWTPR-GPS01. There is also an adjacent bottom pressure recorder https://doi.org/10.5067/SWTPR-BPR01. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_PRELAUNCH_L2_WW_V1_1.0 SWOT 2019-2020 Prelaunch Oceanography Field Campaign SIO Mooring WireWalker (WW) POCLOUD STAC Catalog 2019-09-05 2019-12-03 -125.2, 35.8, -125, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2229635761-POCLOUD.umm_json This dataset provides the conductivity, temperature and depth (CTD) measurements from the CTD sensors on a WireWalker profiler on a full-depth mooring deployed by the SWOT prelaunch field campaign. The campaign was designed to test the performance of several instruments/platforms in meeting the SWOT Calibration/Validation (CalVal) requirement. It was conducted near the SWOT CalVal crossover location, about 300 kilometers west of Monterey, California between September, 2019 and January, 2020. The WW samples the upper 500 m of the water column, while the deep ocean below 500 m are measured by fixed-depth CTDs https://doi.org/10.5067/SWTPR-CTD01. The campaign also deployed another two CTD moorings, a slocum glider, one bottom pressure recorder and one Pressure Inverted Echo Sounder. Details can be found in the user guide and the journal reference given in the documentation section. proprietary
-SWOT_SAT_COM_1.0_1.0 SWOT Satellite Center of Mass Position Data POCLOUD STAC Catalog 2022-12-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2296989490-POCLOUD.umm_json Satellite center of mass position with respect to its reference point. The SAT_COM product provides the X/Y/Z coordinates of satellite center of mass in the KaRIn metering and structure reference frame (KMSF) with associated information of the origin of the variation. This is a historical product and the most recently available file provides a complete history since launch. Available in netCDF-4 file format with latency of < 1.5 days. proprietary
-SWOT_SIMULATED_L2_KARIN_SSH_ECCO_LLC4320_CALVAL_V1_1 SWOT Simulated Level-2 KaRIn SSH from MITgcm ECCO LLC4320 for Cal/Val Version 1 POCLOUD STAC Catalog 2011-11-13 2012-11-12 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2147947806-POCLOUD.umm_json "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) SSH data from KaRIn. The simulated data were generated by the ""ECCO LLC4320"" global ocean simulation. ECCO, which means ""Estimating the Circulation and Climate of the Ocean"", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission." proprietary
-SWOT_SIMULATED_L2_KARIN_SSH_ECCO_LLC4320_SCIENCE_V1_1 SWOT Simulated Level-2 KaRIn SSH from MITgcm ECCO LLC4320 for Science Version 1 POCLOUD STAC Catalog 2011-11-13 2012-11-12 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2152044763-POCLOUD.umm_json "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) SSH data from KaRIn. The simulated data were generated by the ""ECCO LLC4320"" global ocean simulation. ECCO, which means ""Estimating the Circulation and Climate of the Ocean"", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission." proprietary
-SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1_1 SWOT Simulated Level-2 KaRIn SSH from GLORYS for Cal/Val Version 1 POCLOUD STAC Catalog 2014-04-12 2015-12-31 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2152046451-POCLOUD.umm_json This dataset provides simulated sea surface height data product that resembles data which will be collected by KaRIn. Swaths span 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. SSH data produced by GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission. proprietary
-SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_SCIENCE_V1_1 SWOT Simulated Level-2 KaRIn SSH from GLORYS for Science Version 1 POCLOUD STAC Catalog 2014-04-12 2015-12-31 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2152045877-POCLOUD.umm_json This dataset provides simulated sea surface height data product that resembles data which will be collected by KaRIn. Swaths span 60 km on both sides of nadir with a nadir gap. Product provides sea surface height, sea surface height anomaly, wind speed, significant waveheight, on a geographically fixed, swath-aligned 2x2 km2 grid, as well as sea surface height on a 250x250 m2 native grid. SSH data produced by GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission. proprietary
-SWOT_SIMULATED_L2_NADIR_SSH_ECCO_LLC4320_CALVAL_V1_1 SWOT Simulated Level-2 Nadir SSH from MITgcm ECCO LLC4320 for Cal/Val Version 1 POCLOUD STAC Catalog 2011-11-13 2012-11-12 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2158344213-POCLOUD.umm_json "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data stream from the Poseidon 3C nadir altimeter. The simulated data were generated by the ""ECCO LLC4320"" global ocean simulation. ECCO, which means ""Estimating the Circulation and Climate of the Ocean"", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission." proprietary
-SWOT_SIMULATED_L2_NADIR_SSH_ECCO_LLC4320_SCIENCE_V1_1 SWOT Simulated Level-2 Nadir SSH from MITgcm ECCO LLC4320 for Science Version 1 POCLOUD STAC Catalog 2011-11-13 2012-11-12 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2158348170-POCLOUD.umm_json "This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data stream from the Poseidon 3C nadir altimeter. The simulated data were generated by the ""ECCO LLC4320"" global ocean simulation. ECCO, which means ""Estimating the Circulation and Climate of the Ocean"", is a data assimilation and model (and the international consortium of scientists who maintains it) based on the MIT general circulation model (MITgcm) that assimilates and constrains observational data from numerous sources to estimate the ocean state. The model operates on the Lat-Lon-Cap (LLC) grid with a nominal horizontal resolution of 1/48-degrees (when approximated over the entire model domain, corresponding to ~2-km cell size at the equator). SSH data produced by ECCO LLC4320 were rendered from the native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission." proprietary
-SWOT_SIMULATED_L2_NADIR_SSH_GLORYS_CALVAL_V1_1 SWOT Simulated Level-2 Nadir SSH from GLORYS for Cal/Val Version 1 POCLOUD STAC Catalog 2014-04-12 2015-12-31 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2158348264-POCLOUD.umm_json This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data from the Poseidon 3C nadir altimeter. The simulated data are from the Global Ocean Reanalysis and Simulations (GLORYS). SSH data from GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission. proprietary
-SWOT_SIMULATED_L2_NADIR_SSH_GLORYS_SCIENCE_V1_1 SWOT Simulated Level-2 Nadir SSH from GLORYS for Science Version 1 POCLOUD STAC Catalog 2014-04-12 2015-12-31 -180, -77.6, 180, 77.6 https://cmr.earthdata.nasa.gov/search/concepts/C2158350299-POCLOUD.umm_json This dataset provides simulated sea surface height (SSH) in a format similar to the future SWOT Level 2 (L2) altimetry data from the Poseidon 3C nadir altimeter. The simulated data are from the Global Ocean Reanalysis and Simulations (GLORYS). SSH data from GLORYS were rendered from their native output format into the format prescribed in the SWOT L2 SSH PDD to aid ongoing data product development and to benefit future users of data produced during operational phases of the SWOT mission. proprietary
-SWOT_SIMULATED_NA_CONTINENT_L2_HR_LAKESP_V1_1.0 SWOT Simulated Level 2 North America Continent High Rate Lake Vectors Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263384453-POCLOUD.umm_json This dataset contains a simulated lake product to be provided by the Surface Water and Ocean Topography (SWOT) mission with a focus on the North America continent. The product is derived from the high-rate (HR) measurements produced by the SWOT main instrument, a Ka-band Radar Interferometer. These data are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product consists of three shapefiles: 1) an observation-oriented shapefile of lakes identified in the Prior Lake Database (PLD); 2) a PLD-oriented shapefile of lakes identified in the PLD; 3) a shapefile of unassigned features that have not been identified as a lake in the PLD nor as a river in the Prior River Database (PRD). Lake attributes include water surface elevation, area, and uncertainty estimates. The identified lake shapes inherit the SWOT swath width that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
-SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXCVEC_V1_1.0 SWOT Simulated Level 2 North America Continent KaRIn High Rate Pixel Cloud Vector Attribute Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263383657-POCLOUD.umm_json This dataset provides a simulated water surface elevation product that resembles the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. This product is complementary to the L2_HR_PIXC_V1 product. It provides a less noisy, height-constrained geolocation (latitude, longitude, and height) of the L2_HR_PIXC_V1 pixels. In addition, this product provides an identifier associated with each pixel. The identifier contains the information of the river and/or lake features pulled from the Prior River Database (PRD) or in the Prior Lake Database (PLD). Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
-SWOT_SIMULATED_NA_CONTINENT_L2_HR_PIXC_V1_1.0 SWOT Simulated Level 2 North America Continent KaRIn High Rate Water Mask Pixel Cloud Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263383386-POCLOUD.umm_json This dataset includes simulated water surface elevations that resemble the Ka-band Interferometer (KaRIn) measurements by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. The simulated SWOT KaRIN swaths span 128 km in the cross-swath direction with a 20-km nadir gap. The primary product contains the following: 1. Geolocated elevations (latitude, longitude, and height) 2. Classification mask (water/land flags, and water fraction) 3. Surface areas (projected pixel area on the ground) 4. Relevant data needed to compute and aggregate height and area uncertainties. Additional information includes: 1. Meta data (global instrument parameters) 2. Time varying parameters (TVP), which include sensor position, velocity, altitude, and time 3. Noise power estimates 4. Quality flags 5. Interferogram measurements (power and phase) and range and azimuth indices 6. Geophysical and crossover-calibration correction values. These additional fields are provided to improve the utility of the product and to facilitate generation of downstream products. Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
-SWOT_SIMULATED_NA_CONTINENT_L2_HR_RASTER_V1_1.0 SWOT Simulated Level 2 North America Continent High Rate Raster Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263383790-POCLOUD.umm_json This dataset contains a simulated rasterized water surface elevation and inundation-extent product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this simulated subset focuses on the North America continent. This is a derived product through resampling the upstream dataset L2_HR_PIXC_V1 and L2_HR_PIXCVEC_V1 onto a uniform grid over the North America continent. A uniform grid is superimposed onto the pixel cloud from the source products, and all pixel-cloud samples within each grid cell are aggregated to produce a single value per raster cell. The raster data are produced geographically fixed tiles at resolutions of 100 m and 250 m in a Universal Transverse Mercator projection grid. Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
-SWOT_SIMULATED_NA_CONTINENT_L2_HR_RIVERSP_V1_1.0 SWOT Simulated Level 2 North America Continent High Rate River Vectors Product Version 1.0 POCLOUD STAC Catalog 2022-08-01 2022-08-22 -113, 24, -82, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2263384307-POCLOUD.umm_json This dataset contains a simulated river data product to be provided by the Surface Water and Ocean Topography (SWOT) mission. SWOT will provide a global coverage but this dataset is a subset for the North America continent. This product is derived from the measurements produced by the main SWOT instrument, the Ka-band Interferometer. They are produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. This product contains two shapefiles: 1) river reaches (approximately 10 km long) identified in the prior river database (PRD); and 2) river nodes (approximately 200 m spacing) identified in prior river database (PRD). Each river reach is divided into a number of nodes. Attributes include water surface elevation, slope, width, and uncertainty estimates. As they are derived from SWOT KaRIn measurements, each granule covers an area that is approximately 128 km wide in the cross-track direction with a 20-km nadir gap. Note that this is a simulated SWOT product and not suited for any scientific exploration. proprietary
Sahel_Water_Bodies_1269_1 Location and Permanency of Water Bodies in the African Sahel Region from 2003-2011 ORNL_CLOUD STAC Catalog 2003-01-01 2011-12-31 -20, 10, 40, 20 https://cmr.earthdata.nasa.gov/search/concepts/C2756239079-ORNL_CLOUD.umm_json This data set provides an estimate of the spatial and temporal extent of surface water at 250-m resolution over nine years (2003-2011) for the African Sahel region (10-20 degrees N) using imagery from the Moderate-resolution Imaging Spectroradiometer (MODIS). Water bodies were identified by a spectral analysis of MODIS vegetation indices with the aim to improve existing regional to global mapping products. This data set can be used to enhance the understanding of Earth system processes, and to support global change studies, agricultural planning, and disease prevention. These data provide a gridded (250-m) estimate of the number of years (during 2003-2011) that a pixel was covered by water. The data are presented in a single netCDF (*.nc) file. proprietary
Salt_Marsh_Biomass_CONUS_2348_1 Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020 ORNL_CLOUD STAC Catalog 2020-01-01 2020-12-31 -124.74, 24.52, -66.93, 49 https://cmr.earthdata.nasa.gov/search/concepts/C3126460246-ORNL_CLOUD.umm_json This dataset provides estimates of aboveground biomass (AGB) and salt marsh extent in the contiguous United States for 2020 and includes all coastal watersheds across the contiguous United States at 10-m resolution. Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost, random forests, and support vector machines, trained with salt marsh location identified with the National Wetland Inventory (NWI). The data are organized by Hydrologic Unit Code (HUC) 6-digit basin. Within each HUC, the spatial extent of salt marsh and its uncertainty were estimated by machine learning and input data from NWI maps, the National Elevation Dataset, along with Sentinel-1 and Sentinel-2 imagery. Estimates were compared to in situ biomass data from salt marshes in Georgia and Massachusetts. The data are provided in cloud-optimized GeoTIFF format. proprietary
San_Diego_Coastal_Project_0 San Diego Coastal Project OB_DAAC STAC Catalog 2004-11-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360636-OB_DAAC.umm_json Measurements near the Southern Californias coast made under the San Diego Coastal Project between 2004 and 2006. proprietary
@@ -10786,7 +9422,6 @@ Sargassum_GOM_0 Importance of pelagic Sargassum to fisheries management in the N
Saskatchewan_Soils_125m_SSA_1346_2 BOREAS Agriculture Canada Central Saskatchewan Vector Soils Data, R1 ORNL_CLOUD STAC Catalog 1980-01-01 2001-02-06 -110.45, 52.86, -99.87, 55.06 https://cmr.earthdata.nasa.gov/search/concepts/C2773240578-ORNL_CLOUD.umm_json This data set provides soil descriptions for forested areas in the BOREAS southern study area (SSA) in central Saskatchewan, Canada provided by Agriculture Canada. The data contain soil code, modifiers, extent, and soil names for the primary, secondary, and tertiary soil units within each polygon. proprietary
Sat_ActiveLayer_Thickness_Maps_1760_1 ABoVE: Active Layer Thickness from Remote Sensing Permafrost Model, Alaska, 2001-2015 ORNL_CLOUD STAC Catalog 2001-01-01 2015-12-31 -179.18, 55.57, -132.58, 70.21 https://cmr.earthdata.nasa.gov/search/concepts/C2143402571-ORNL_CLOUD.umm_json This dataset provides annual estimates of active layer thickness (ALT) at 1 km resolution across Alaska from 2001-2015. The ALT was estimated using a remote sensing-based soil process model incorporating global satellite data from Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and snow cover extent (SCE), and Soil Moisture Active and Passive (SMAP) satellite soil moisture records. The study area covers the majority land area of Alaska except for areas of perennial ice/snow cover or open water. The ALT was defined as the maximum soil thawing depth throughout the year. The mean ALT and mean uncertainty from 2001 to 2015 are also provided. proprietary
SatelliteDerived_Forest_Mexico_2320_1 Satellite-Derived Forest Extent Likelihood Map for Mexico ORNL_CLOUD STAC Catalog 2010-01-01 2020-12-31 -120.31, 12.48, -84.29, 34.51 https://cmr.earthdata.nasa.gov/search/concepts/C2905454214-ORNL_CLOUD.umm_json This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas. proprietary
-Scambos_PLR1441432_Not provided A Low-power, Quick-install Polar Observation System ('AMIGOS-II') for Monitoring Climate-ice-ocean Interactions SCIOPS STAC Catalog 2014-06-01 2015-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214604828-SCIOPS.umm_json The investigators propose to build and test a multi-sensor, automated measurement station for monitoring Arctic and Antarctic ice-ocean environments. The system, based on a previously successful design, will incorporate weather and climate sensors, camera, snow and firn sensors, instruments to measure ice motion, ice and ocean thermal profilers, hydrophone, and salinity sensors. This new system will have two-way communications for real-time data delivery and is designed for rapid deployment by a small field group. proprietary
SciSat-1.Ace.FTS.and.Maestro_NA SciSat-1: ACE-FTS and MAESTRO ESA STAC Catalog 2003-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336954-ESA.umm_json "SCISAT-1 data aim at monitoring and analysing the chemical processes that control the distribution of ozone in the upper troposphere and stratosphere. It provides acquisitions from the 2 instruments MAESTRO and ACE-FTS. • MAESTRO: Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation. Dual-channel optical spectrometer in the spectral region of 285-1030 nm. The objective is to measure ozone, nitrogen dioxide and aerosol/cloud extinction (solar occultation measurements of atmospheric attenuation during satellite sunrise and sunset with the primary objective of assessing the stratospheric ozone budget). Solar occultation spectra are being used for retrieving vertical profiles of temperature and pressure, aerosols, and trace gases (O3, NO2, H2O, OClO, and BrO) involved in middle atmosphere ozone distribution. The use of two overlapping spectrometers (280 - 550 nm, 500 - 1030 nm) improves the stray-light performance. The spectral resolution is about 1-2 nm. • ACE-FTS: Fourier Transform Spectrometer The objective is to measure the vertical distribution of atmospheric trace gases, in particular of the regional polar O3 budget, as well as pressure and temperature (derived from CO2 lines). The instrument is an adapted version of the classical sweeping Michelson interferometer, using an optimized optical layout. The ACE-FTS measurements are recorded every 2 s. This corresponds to a measurement spacing of 2-6 km which decreases at lower altitudes due to refraction. The typical altitude spacing changes with the orbital beta angle. For historical reasons, the retrieved results are interpolated onto a 1 km ""grid"" using a piecewise quadratic method. For ACE-FTS version 1.0, the results were reported only on the interpolated grid (every 1 km from 0.5 to 149.5 km). For versions 2.2, both the ""retrieval"" grid and the ""1 km"" grid profiles are available. SCISAT-1 collection provides ACE-FTS and MAESTRO Level 2 Data. As of today, ACE-FTS products are available in version 4.1, while MAESTRO products are available in version 3.13." proprietary
Scotia_Prince_ferry_0 Scotia Prince ferry dataset OB_DAAC STAC Catalog 1998-06-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360640-OB_DAAC.umm_json Although the ferry that data were collected from no longer operates, longstanding data collection methods continue. The Scotia Prince ferry dataset has been reorganized and added to the GNATS experiment dataset (Gulf of Maine North Atlantic Time Series, 10.5067/SeaBASS/GNATS/DATA001). Please refer to that dataset to find data that were originally listed here. proprietary
Scotts_Fuel_1 Composition and origin of fuel from the hut of explorer Robert Falcon Scott, Cape Evans, Antarctica AU_AADC STAC Catalog 1910-08-15 1912-03-29 166.4, -77.633, 166.4, -77.633 https://cmr.earthdata.nasa.gov/search/concepts/C1214311239-AU_AADC.umm_json As a direct result of the 1989-90 trip as part of ASAC 245, a sample of petrol used by Scott on his ill-fated expedition to the South Pole was obtained. This petrol sample was supplied by the late Garth Varcoe of the New Zealand Antarctic Division following a discussion ensuing from a lecture given whilst on the Icebird when stuck in the ice off Davis. This sample is of intense historical interest and the results of the studies are in the download file. The material in the file reports the studies on the composition of the petrol which was left by the remaining members of Scott's group when they departed their base at Evans Head. The aim of this work was to identify the source of the fuel. A later study will attempt to comment on its suitability as a fuel for use under Antarctic conditions. There are five files on the CD. a)a poster presented at the Australian Organic Geochemistry Conference held in Leura, NSW in February of this year, b)a brief description highlighting some salient points of the poster; presented orally, c)an abstract of this work included in the conference proceedings, d)the conference proceedings and e)manuscript of a full paper submitted for publication in the Journal of Organic Geochemistry, including a table of data Geochemical analyses of the fuel used for the motor driven sledges used by the explorer Robert Falcon Scott for his 1911/1912 quest to the South Pole indicates that it is a straight run gasoline. The presence of bicadinanes, oleanane and other oleanoid angiosperm markers indicate that the feedstock oil was likely to be sourced from terrestrial source rocks of Tertiary age in the South East Asian region. The overall chemical composition of the fuel in its present state indicates that it may have been too heavy for usage in polar regions. proprietary
@@ -10918,25 +9553,6 @@ TARFOX_WALLOPS_SMPS_1 Tropospheric Aerosol Radiative Forcing Observational eXper
TARFOX_WALLOPS_SONDE_1 Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) - Vaisala Radiosonde data from Wallops ground station LARC_ASDC STAC Catalog 1996-07-10 1996-07-31 -75.48, 37.85, -75.48, 37.85 https://cmr.earthdata.nasa.gov/search/concepts/C1536049399-LARC_ASDC.umm_json TARFOX_WALLOPS_SONDE is the Tropospheric Aerosol Radiative Forcing Observational eXperiment (TARFOX) Vaisala radiosonde data set from balloons launched at Wallops ground station.The TARFOX Intensive Field Campaign was conducted July 10-31, 1996. It included coordinated measurements from four satellites (GOES-8, NOAA-14, ERS-2, LANDSAT), four aircraft (ER-2, C-130, C-131A, and a modified Cessna), land sites, and ships. A variety of aerosol conditions was sampled, ranging from relatively clean behind frontal passages to moderately polluted with aerosol optical depths exceeding 0.5 at mid-visible wavelengths. Gradients of aerosol optical thickness were sampled to aid in isolating aerosol effects from other radiative effects and to more tightly constrain closure tests, including those of satellite retrievals. Early results from TARFOX include demonstration of the unexpected importance of carbonaceous compounds and water condensed on aerosol in the US mid-Atlantic haze plume, chemical apportionment of the aerosol optical depth, measurements of the downward component of aerosol radiative forcing, and agreement between forcing measurements and calculations. proprietary
TCTE3TSI6_004 TCTE Level 3 Total Solar Irradiance 6-Hour Means V004 (TCTE3TSI6) at GES DISC GES_DISC STAC Catalog 2013-12-13 2019-05-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1704861146-GES_DISC.umm_json TCTE3TSI6 Version 004 is the final version of this data product, and supersedes all previous versions. The Total Solar Irradiance (TSI) Calibration Transfer Experiment (TCTE) data set TCTE3TSI6 contains 6-hour averaged total solar irradiance (a.k.a solar constant) data collected by the Total Irradiance Monitor (TIM) instrument covering the full wavelength spectrum. The data are normalized to one astronomical unit (1 AU). The TCTE/TIM instrument measures the Total Solar Irradiance (TSI), monitoring changes in incident sunlight to the Earth's atmosphere using an ambient temperature active cavity radiometer to a designed absolute accuracy of 350 parts per million (ppm, 1 ppm=0.0001% at 1-sigma), and a precision and long-term relative accuracy of 10 ppm per year. Due to the small size of these data and to maximize ease of use to end-users, each delivered TSI product contains science results for the entire mission in an ASCII column formatted file. Early in the mission, between Dec 2013 and May 2014, TCTE acquired daily measurements to establish good overlap with the SORCE TIM. From May 2014 to Dec 2014, the TCTE measurements were reduced to weekly, which greatly subsample the true solar variability, and thus have little value for solar research. Beginning in Jan 2015, daily obervations were resumed. The mission ended June 30, 2019. proprietary
TCTE3TSID_004 TCTE Level 3 Total Solar Irradiance Daily Means V004 (TCTE3TSID) at GES DISC GES_DISC STAC Catalog 2013-12-13 2019-05-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1704861169-GES_DISC.umm_json TCTE3TSID Version 004 is the final version of this data product, and supersedes all previous versions. The Total Solar Irradiance (TSI) Calibration Transfer Experiment (TCTE) data set TCTE3TSID contains daily averaged total solar irradiance (a.k.a solar constant) data collected by the Total Irradiance Monitor (TIM) instrument covering the full wavelength spectrum. The data are normalized to one astronomical unit (1 AU). The TCTE/TIM instrument measures the Total Solar Irradiance (TSI), monitoring changes in incident sunlight to the Earth's atmosphere using an ambient temperature active cavity radiometer to a designed absolute accuracy of 350 parts per million (ppm, 1 ppm=0.0001% at 1-sigma), and a precision and long-term relative accuracy of 10 ppm per year. Due to the small size of these data and to maximize ease of use to end-users, each delivered TSI product contains science results for the entire mission in an ASCII column formatted file. Early in the mission, between Dec 2013 and May 2014, TCTE acquired daily measurements to establish good overlap with the SORCE TIM. From May 2014 to Dec 2014, the TCTE measurements were reduced to weekly, which greatly subsample the true solar variability, and thus have little value for solar research. Beginning in Jan 2015, daily obervations were resumed. The mission ended June 30, 2019. proprietary
-TELLUS_GIA_L3_0.5-DEG_V1.0_1.0 TELLUS GRACE Level-3 0.5-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL POCLOUD STAC Catalog 1900-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2689796236-POCLOUD.umm_json Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 0.5-degree global grid compatible with the JPL Mascon solution, provided in netCDF format. proprietary
-TELLUS_GIA_L3_1-DEG_V1.0_1.0 TELLUS GRACE Level-3 1.0-degree Glacial Isostatic Adjustment v1.0 datasets produced by JPL POCLOUD STAC Catalog 1900-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2689796219-POCLOUD.umm_json Glacial isostatic adjustment (GIA) is an ongoing geophysical process and is measured by gravimetry satellites like GRACE and GRACE-FO. To isolate signals of contemporary surface mass loss in the cumulative satellite gravimetry measurements, contemporary GIA rates are computed and subtracted from the satellite gravimetry observations. The GIA correction models provided here are filtered such that they are compatible with Level-3 post-processing filters applied to GRACE(-FO) data as indicated in the [product_id]. In this way, user can effectively assess the impact of the applied GIA correction, and substitute different GIA models should that be desired. This GIA dataset is mapped into 1.0-degree global grid in netCDF format. proprietary
-TELLUS_GLDAS-NOAH-3.3_TWS-ANOMALY_MONTHLY_3.3 Monthly gridded Global Land Data Assimilation System (GLDAS) from Noah-v3.3 land hydrology model for GRACE and GRACE-FO over nominal months POCLOUD STAC Catalog 2002-04-04 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2036877565-POCLOUD.umm_json The total land water storage anomalies are aggregated from the Global Land Data Assimilation System (GLDAS) NOAH model. GLDAS outputs land water content by using numerous land surface models and data assimilation. For more information on the GLDAS project and model outputs please visit https://ldas.gsfc.nasa.gov/gldas. The aggregated land water anomalies (sum of soil moisture, snow, canopy water) provided here can be used for comparison against and evaluations of the observations of Gravity Recovery and Climate Experiment (GRACE) and GRACE-FO over land. The monthly anomalies are computed over the same days during each month as GRACE and GRACE-FO data, and are provided on monthly 1 degree lat/lon grids in NetCDF format. proprietary
-TELLUS_GRAC-GRFO_MASCON_CRI_GRID_RL06.1_V3_RL06.1Mv03 JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.1 Version 03 POCLOUD STAC Catalog 2002-04-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2536962485-POCLOUD.umm_json This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.1Mv03). This version of the data employs a Coastal Resolution Improvement (CRI) filter that reduces signal leakage errors across coastlines. These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology phenomena. The water storage/height anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field variations in terms of geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the solution inversion to intrinsically remove correlated error. Thus, these Mascon grids do not need to be destriped or smoothed, like traditional spherical harmonic gravity solutions. The complete Mascon solution consists of 4,551 relatively independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. A subset of these individual mascons span coastlines, and contain mixed land and ocean mass change signals. In a post-processing step, the CRI filter is applied to those mixed land/ocean Mascons to separate land and ocean mass. The land mask used to perform this separation is provided in the same directory as this dataset. Since the individual mascons act as an inherent smoother on the gravity field, a set of optional gain factors (for continental hydrology applications) that can be applied to the solution to study mass change signals at sub-mascon resolution is also provided within the same data directory as the Mascon data. This RL06.1Mv03 is an updated version of the previous Tellus JPL Mascon RL06Mv02 (DOI, 10.5067/TEMSC-3JC62). RL06.1Mv03 differs from RL06Mv02 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1Mv03 uses the ACH data product For more information, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. For a detailed description of the CRI filter implementation, please see Wiese et al., 2016, doi:10.1002/2016WR019344. proprietary
-TELLUS_GRAC-GRFO_MASCON_GRID_RL06.1_V3_RL06.1Mv03 JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height JPL Release 06.1 Version 03 POCLOUD STAC Catalog 2002-04-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2536982552-POCLOUD.umm_json This dataset contains gridded monthly global water storage/height anomalies relative to a time-mean, derived from GRACE and GRACE-FO and processed at JPL using the Mascon approach (RL06.1Mv03). These data are provided in a single data file in netCDF format, and can be used for analysis for ocean, ice, and hydrology phenomena. The water storage/height anomalies are given in equivalent water thickness units (cm). The solution provided here is derived from solving for monthly gravity field variations in terms of geolocated spherical cap mass concentration functions, rather than global spherical harmonic coefficients. Additionally, realistic geophysical information is introduced during the solution inversion to intrinsically remove correlated error. Thus, these Mascon grids do not need to be destriped or smoothed, like traditional spherical harmonic gravity solutions. The complete Mascon solution consists of 4,551 relatively independent estimates of surface mass change that have been derived using an equal-area 3-degree grid of individual mascons. It should be noted that this dataset does not correct for leakage errors across coastlines; it is therefore recommended only for users who want to apply their own algorithm to separate between land and ocean mass very near coastlines. This RL06.1Mv03 is an updated version of the previous Tellus JPL Mascon RL06Mv02 (DOI, 10.5067/TEMSC-3JC62). RL06.1Mv03 differs from RL06Mv02 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1Mv03 uses the ACH data product. For more information, please visit https://grace.jpl.nasa.gov/data/get-data/jpl_global_mascons/. For a detailed description on the Mascon solution, including the mathematical derivation, implementation of geophysical constraints, and solution validation, please see Watkins et al., 2015, doi: 10.1002/2014JB011547. This product is intended for expert use only; other users are encouraged to use the CRI-filtered Mascon dataset, which is available here: https://podaac.jpl.nasa.gov/dataset/TELLUS_GRAC-GRFO_MASCON_GRID_RL06.1_V3 proprietary
-TELLUS_GRAC_L3_CSR_RL06_LND_v04_RL06v04 CSR TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04 POCLOUD STAC Catalog 2002-04-05 2017-10-18 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2077042515-POCLOUD.umm_json The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRAC_L3_CSR_RL06_OCN_v04_RL06v04 CSR TELLUS GRACE Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.0 version 04 POCLOUD STAC Catalog 2002-04-04 2017-10-25 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2077042363-POCLOUD.umm_json The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRAC_L3_GFZ_RL06_LND_v04_RL06v04 GFZ TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04 POCLOUD STAC Catalog 2002-04-05 2017-10-18 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2077042566-POCLOUD.umm_json The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRAC_L3_GFZ_RL06_OCN_v04_RL06v04 GFZ TELLUS GRACE Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.0 version 04 POCLOUD STAC Catalog 2002-04-04 2017-10-25 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2077042412-POCLOUD.umm_json The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRAC_L3_JPL_RL06_LND_v04_RL06v04 JPL TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04 POCLOUD STAC Catalog 2002-04-04 2017-10-18 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2077042612-POCLOUD.umm_json The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRAC_L3_JPL_RL06_OCN_v04_RL06v04 JPL TELLUS GRACE Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.0 version 04 POCLOUD STAC Catalog 2002-04-04 2017-10-25 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2077042455-POCLOUD.umm_json The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_CSR_RL06.1_LND_v04_RL06.1v04 CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.1 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2537041932-POCLOUD.umm_json The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_CSR_RL06.1_OCN_v04_RL06.1v04 CSR TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.1 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2537034072-POCLOUD.umm_json The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_CSR_RL06.2_LND_v04_RL06.2v04 CSR TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.2 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2767593027-POCLOUD.umm_json The TELLUS_GRFO_L3_CSR_RL06.2_LND_v04 dataset produced by the the Center for Space Research (CSR) GRACE-FO program derives the terrestrial water storage anomaly using the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellite data. GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes.
The RL06.2 v04 monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors.
Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.2 is an updated release version of the previous RL06.1. The difference is only in the handling of GPS data set during Level-2 processing. GPS handling for RL06.2 was re-assessed due to steady degradation in low degrees during late 2022 and 2023 in RL06.1. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in ASCII format have adopted the YAML encoding header, which is in full compliance with the PO.DAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_CSR_RL06.2_OCN_v04_RL06.2v04 CSR TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.2 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2767594383-POCLOUD.umm_json This TELLUS_GRFO_L3_CSR_RL06.2_OCN_v04 dataset produced by the the Center for Space Research (CSR) GRACE-FO program derives the ocean bottom pressure (OBP) anomaly using the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellite data. GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes.
The RL06.2 v04 monthly ocean mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors.
Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.2 is an updated release version of the previous RL06.1. The difference is only in the handling of GPS data set during Level-2 processing. GPS handling for RL06.2 was re-assessed due to steady degradation in low degrees during late 2022 and 2023 in RL06.1. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_GFZ_RL06.1_LND_v04_RL06.1v04 GFZ TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.1 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2537039738-POCLOUD.umm_json The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_GFZ_RL06.1_OCN_v04_RL06.1v04 GFZ TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.1 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2537032664-POCLOUD.umm_json The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_JPL_RL06.1_LND_v04_RL06.1v04 JPL TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.1 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2537038061-POCLOUD.umm_json The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
-TELLUS_GRFO_L3_JPL_RL06.1_OCN_v04_RL06.1v04 JPL TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.1 version 04 POCLOUD STAC Catalog 2018-05-22 -180, -89.5, 180, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2537030370-POCLOUD.umm_json The monthly ocean bottom pressure anomaly grids are given as equivalent water thickness changes derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represent sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). The Level-2 GAD product has been added back, a glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters (i.e., de-striping and spatial smoothing) have been applied to reduce correlated errors. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. This RL06.1 is an updated release version of the previous RL06. The difference is only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; RL06.1 uses the ACH data product. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version and beyond, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices. proprietary
TEMPO_CLDO4_L2_V01 TEMPO cloud pressure and fraction (O2-O2 dimer) V01 (UNVALIDATED) LARC_CLOUD STAC Catalog 2023-08-01 -170, 10, -10, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2724037909-LARC_CLOUD.umm_json O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), scene albedo, scene pressure, ancillary data used in calculation, and processing quality flags. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors as a function of geometry, surface albedo, surface pressure and cloud pressure. Please refer to the ATBD for details. proprietary
TEMPO_CLDO4_L2_V03 TEMPO cloud pressure and fraction (O2-O2 dimer) V03 (BETA) LARC_CLOUD STAC Catalog 2023-08-01 -170, 10, -10, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2930760329-LARC_CLOUD.umm_json O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), ancillary data, processing quality flags, etc. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors, GEOS-CF forecast meteorology, and GLER surface albedo. proprietary
TEMPO_CLDO4_L3_V01 TEMPO gridded cloud fraction and pressure (O2-O2 dimer) V01 (UNVALIDATED) LARC_CLOUD STAC Catalog 2023-08-01 -170, 10, -10, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2724035076-LARC_CLOUD.umm_json O2-O2 cloud Level 3 files provide cloud information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on effective cloud fraction, cloud optical centroid pressure, cloud radiance fraction, and ancillary data used in the calculation. The re-gridding algorithm uses an area-weighted approach. proprietary
@@ -10966,7 +9582,6 @@ TEMPO_RADT_L1_V03 TEMPO geolocated Earth radiances twilight V03 (BETA) LARC_CLOU
TEMPO_RAD_L1_V01 TEMPO geolocated Earth radiances V01 (UNVALIDATED) LARC_CLOUD STAC Catalog 2023-08-01 -170, 10, -10, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2724057249-LARC_CLOUD.umm_json Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Image Navigation and Registration (INR) using GOES-R data, and (3) post INR processing geolocation tagging. Please refer to the ATBD for details. proprietary
TEMPO_RAD_L1_V02 TEMPO geolocated Earth radiances V02 (BETA) LARC_CLOUD STAC Catalog 2023-08-01 -170, 10, -10, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2842845562-LARC_CLOUD.umm_json Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details. These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters. Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status. The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov. proprietary
TEMPO_RAD_L1_V03 TEMPO geolocated Earth radiances V03 (BETA) LARC_CLOUD STAC Catalog 2023-08-01 -170, 10, -10, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2930759336-LARC_CLOUD.umm_json Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging. proprietary
-TEMR_RSFCE_Not provided Air Temperature Time Series SCIOPS STAC Catalog 1883-01-01 1987-12-31 25, 23.21, -175, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214608675-SCIOPS.umm_json Hydrometeorological data on the conditions of the environment are held by the Russian State Fund of data. This dataset was created by Computer Centre North Administration for hydrometeorology in 1990 and containes air temperature from 68 stations in Arhangelsk, Vologda regions and Komi ASSR in Russia. Data is currently stored on magnetic tape (800 bit/inch). proprietary
TG02_Balloon_VOC_1110_1 LBA-ECO TG-02 Biogenic VOC Emissions from Brazilian Amazon Forest and Pasture Sites ORNL_CLOUD STAC Catalog 1998-03-22 2000-02-16 -62.2, -10.08, -54.97, -0.86 https://cmr.earthdata.nasa.gov/search/concepts/C2768941787-ORNL_CLOUD.umm_json This data set reports concentrations of biogenic volatile organic compounds (BVOCs) collected from tethered balloon-sampling platforms above selected forest and pasture sites in the Brazilian Amazon in March 1998, February 1999, and February 2000. The air samples were collected from forested sites in Brazil: the Tapajos forest (Para) in the Tapajos/Xingu moist forest; Balbina (Amazonas) in the Uatuma moist forest; and Jaru (Rondonia) in the Purus/Madeira moist forest. Two other sites were also located in Rondonia: at a forest reserve (Rebio Jaru) and a pasture (Fazenda Nossa Senhora Aparecida). The BVOCs measured included isoprene, alpha and beta pinene, camphene, sabinene, myrcene, limonene, and other monoterpenes. Approximately 24 to 40 soundings, including as many as four VOC samples collected simultaneously at various altitudes, were made at each site. There is one comma-delimited data file with this data set. proprietary
TG03_AERONET_AOT_1128_1 LBA-ECO TG-03 Aeronet Aerosol Optical Thickness Measurements, Brazil: 1993-2005 ORNL_CLOUD STAC Catalog 1993-01-01 2005-01-01 -70.31, -20.45, -48.28, -1.2 https://cmr.earthdata.nasa.gov/search/concepts/C2768942874-ORNL_CLOUD.umm_json This data set includes aerosol optical thickness measurements from the CIMEL sunphotometer for 22 sites in Brazil during the period from 1993-2005. The AERONET (AErosol RObotic NETwork) program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of aerosol optical properties. The network imposes standardization of instruments, calibration, and processing. Data from this collaboration provides globally distributed observations of spectral aerosol optical depths, inversion products, and precipitable water in geographically diverse aerosol regimes. Three levels of data are available from the AERONET website: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud-screened and quality-assured). Data provided here are Level 2.0. There are 22 comma-delimited data files with this data set and one companion text file which contains the latitude, longitude, and elevation of the 22 sites. proprietary
TG03_Aeronet_Solar_Flux_1137_1 LBA-ECO TG-03 Solar Surface Irradiance and PAR, Brazilian Amazon: 1999-2004 ORNL_CLOUD STAC Catalog 1999-01-01 2004-12-31 -67.87, -15.73, -54.95, -1.92 https://cmr.earthdata.nasa.gov/search/concepts/C2781384398-ORNL_CLOUD.umm_json This data set includes solar surface irradiance from Kipp and Zonen CM-21 pyranometers, both total unfiltered and filtered (RG695), and photosynthetically active radiation (PAR) from Skye-Probetech SKE-510 PAR sensors. Measurements were made at six sites acrosss the Brazilian Amazon during the period from 1999 to 2004. These sites were co-located with AERONET (AErosol RObotic NETwork) program sites. There are 17 comma-delimited data files (.csv) with this data set. The AERONET program is an inclusive federation of ground-based remote sensing aerosol networks established by AERONET and the PHOtometrie pour le Traitement Operationnel de Normalisation Satellitaire (PHOTONS) and greatly expanded by AEROCAN (the Canadian sunphotometer network) and other agency, institute and university partners. The goal is to assess aerosol optical properties and validate satellite retrievals of those properties. The network imposes standardization of instruments, calibration, and processing. proprietary
@@ -11150,8 +9765,6 @@ TL3O3M_4 TES/Aura L3 O3 Monthly Gridded V004 LARC STAC Catalog 2004-08-22 2012-1
TL3O3M_5 TES/Aura L3 Ozone Monthly Gridded V005 LARC STAC Catalog 2004-09-03 2018-01-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1536988712-LARC.umm_json TL3O3M_5 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 5 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present. Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS). proprietary
TL3O3M_6 TES/Aura L3 Ozone Monthly Gridded V006 LARC STAC Catalog 2004-09-03 2018-01-31 -180, -82, 180, 82 https://cmr.earthdata.nasa.gov/search/concepts/C1703619764-LARC.umm_json TL3O3M_6 is the Tropospheric Emission Spectrometer (TES)/Aura Level 3 Ozone (O3) Monthly Gridded Version 6 data product. TES was an instrument aboard NASA's Aura satellite and was launched from California on July 15, 2004. Data collection for TES is complete. This product consisted of daily atmospheric temperature and volume mixing ratio (VMR) for the atmospheric species, ozone, which were provided at 2 degree latitude X 4 degree longitude spatial grids and at a subset of TES standard pressure levels. The TES Science Data Processing L3 subsystem interpolated the L2 atmospheric profiles collected in a Global Survey onto a global grid uniform in latitude and longitude to provide a 3-D representation of the distribution of atmospheric gasses. Daily and monthly averages of L2 profiles and browse images are available. The L3 standard data products were composed of L3 HDF-EOS grid data. A separate product file was produced for each different atmospheric species. TES obtained data in two basic observation modes: Limb or Nadir. The product may have contained, in separate folders, limb data, nadir data, or both folders could have been present. Specific to L3 processing were the terms Daily and Monthly, representing the approximate time coverage of the L3 products. However, the input data granules to the L3 process were complete Global Surveys; in other words a Global Survey was not split in relation to time when they were input to the L3 processes even if they exceed the usual understood meanings of a day or month. More specifically, Daily L3 products represented a single Global Survey (approximately 26 hours) and Monthly L3 products represented Global Surveys that were initiated within that calendar month. The data granules defined for L3 standard products were daily and monthly. Details of the format of this product can be found in the TES Data Products Specifications (DPS). proprietary
TLS_Lidar_BlueFlux_Mangroves_2311_1 CMS: Terrestrial Lidar Scans of Mangrove Forests, Everglades NP, FL, USA, 2022-2023 ORNL_CLOUD STAC Catalog 2022-03-20 2023-03-13 -81.08, 25.14, -80.9, 25.38 https://cmr.earthdata.nasa.gov/search/concepts/C3170821246-ORNL_CLOUD.umm_json "This dataset contains point clouds of three-dimensional (3D) mangrove forest structure and volume collected from 10 sites in Everglades National Park, Florida. Data were collected during NASA CMS ""Blueflux"" campaigns in March 2022, October 2022, and March 2023. Products were acquired using a RIEGL VZ-400i terrestrial laser scanner (TLS). TLS is a non-destructive and quantitative method for in situ 3D forest structure measuring and monitoring. Data are provided in LAS (*.las) format." proprietary
-TMI-REMSS-L2P-v4_4.0 GHRSST Level 2P Global Subskin Sea Surface Temperature from TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measurement Mission (TRMM) satellite POCLOUD STAC Catalog 1998-01-01 2015-01-11 -179.99, -39.06, 180, 39.01 https://cmr.earthdata.nasa.gov/search/concepts/C2036879048-POCLOUD.umm_json "GDS2 Version -The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems has produced a Version-4 TMI ocean SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in ""AMSR Ocean Algorithm.""" proprietary
-TMI-REMSS-L3U-v7.1a_7.1a GHRSST Level 3U Global Subskin Sea Surface Temperature from TMI onboard TRMM satellite POCLOUD STAC Catalog 1997-12-08 2015-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617176783-POCLOUD.umm_json "The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, sea surface temperature (SST) and surface wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial processing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems (REMSS) has produced a Version-7.1a TMI SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in ""AMSR Ocean Algorithm.""" proprietary
TML2COS_2 TES/MLS Aura L2 Carbon Monoxide Special Observation V002 LARC STAC Catalog 2005-08-24 2017-11-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1458062793-LARC.umm_json TML2COS_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors. proprietary
TML2CO_2 TES/MLS Aura L2 Carbon Monoxide V002 LARC STAC Catalog 2005-07-26 2017-11-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1458062794-LARC.umm_json TML2CO_2 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 2 data product. It consists of atmospheric vertical profile estimates and associated errors derived using TES and MLS spectral radiance measurements taken at nearest time and locations. Also provided are calculated total vertical column, averaging kernels and a priori constraint vectors. proprietary
TM_MOSAICS_Not provided Thematic Mapper (TM) Mosaics (1984-1997) USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567832-USGS_LTA.umm_json Mosaic data products, which are also available for Tri-Decadal Global Landsat Orthorectified TM and ETM+ Pan-sharpened data, and may be searched and downloaded through EarthExplorer. Ground control points are fixed, and images have been registered to the Universal Transverse Mercator (UTM) map projection and coordinate system and the World Geodetic System 1984 (WGS84) datum. All image bands have been individually resampled, using a nearest neighbor algorithm. Positional accuracy on the final image product has a Root Mean Square Error of better than 100 meters (MSS) and 50 meters (TM and ETM+). The Landsat data were acquired and processed through a National Aeronautics and Space Administration (NASA) contract with Earth Satellite Corporation, Rockville, Maryland, and are part of NASA's Scientific Data Purchase program. When possible, data were collected when vegetation was at peak greenness. Peak greenness was determined from global 1-kilometer Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) data. When peak greenness data were not available, images from other times of the year were substituted. proprietary
@@ -11204,8 +9817,6 @@ TOMSN7OVP_008 TOMS Nimbus-7 Ground Station Overpass Data V008 (TOMSN7OVP) at GES
TOMSN7SO2_3 TOMS/N7 MS SO2 Vertical Column 1-Orbit L2 Swath 50x50 km V3 (TOMSN7SO2) at GES DISC GES_DISC STAC Catalog 1978-11-01 1993-05-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1615905582-GES_DISC.umm_json Version 3 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 3. The goal of this data set is to create and archive a Level 2 SO2 Earth Science Data Record (ESDR) from backscatter Ultraviolet (BUV) measurements from Total Ozone Mapping Spectrometer (TOMS) flown on NASA's Nimbus - 7 satellite in 1978-1993. We apply TOMS ozone team calibration techniques and consistent MEaSUREs SO2 (MS_SO2) algorithm, to obtain the best measurement-based ESDR of volcanic and anthropogenic SO2 masses and emissions. As part of the NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, the Goddard Earth Science (GES) Data and Information Data Center (DISC) has released a new SO2 Earth System Data Record (ESDR), TOMSN7SO2, re-processed using new 4 UV wavelength bands MS_SO2 algorithm that spans the full Nimbus 7 data period. TOMSN7SO2 is a Level 2 orbital swath product, which will be used to study the fifteen-year SO2 record from the Nimbus-7 TOMS and to expand the historical database of known volcanic eruptions. Sulfur Dioxide (SO2) is a short-lived gas primarily produced by volcanoes, power plants, refineries, metal smelting and burning of fossil fuels. Where SO2 remains near the Earth s surface, it is toxic, causes acid rain, and degrades air quality. Where SO2 is lofted into the free troposphere, it forms aerosols that can alter cloud reflectivity and precipitation. In the stratosphere, volcanic SO2 forms sulfate aerosols that can result in climate change. proprietary
TOMS_aerosol_823_1 SAFARI 2000 TOMS Aerosol Index Data, Southern Africa, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-12 2000-09-30 -39.38, -39.5, 75.38, 0.5 https://cmr.earthdata.nasa.gov/search/concepts/C2789741372-ORNL_CLOUD.umm_json Daily Aerosol Index (AI) data from Earth Probe (EP) Total Ozone Mapping Spectrometer (TOMS) for the period of August 12-September 25, 2000 were processed and provided by the Atmospheric Chemistry and Dynamics Branch at NASA/GSFC for the SAFARI 2000 Dry Season Aircraft Campaign.The TOMS AI is formed directly from measured TOMS radiances in two channels. It is a measure of how much the wavelength dependence of backscattered UV radiation from an atmosphere containing aerosols (Mie scattering, Rayleigh scattering, and absorption) differs from that of a pure molecular atmosphere (pure Rayleigh scattering). Quantitatively, the AI is defined at http://toms.gsfc.nasa.gov/aerosols/AI_definition/ai_ep_definition.pdf. Positive values represent absorbing aerosols (dust and smoke); negative values represent non-absorbing aerosols. The identification is not perfect because of geophysical reasons (e.g., when aerosols are too low to the ground).The data from TOMS records have been used increasingly to understand the behavior of aerosols within the atmosphere. The TOMS is the first instrument to allow observation of aerosols as the particles cross the land/sea boundary. Using these data it is possible to observe a wide range of phenomena such as desert dust storms, forest fires, and biomass burning.The TOMS AI data are a daily gridded Level-3 product (ASCII .dat format) that covers the area of 40 deg. S to the Equator and 40 deg. W to 80 deg. E. There is also a JPEG image of each data file. proprietary
TOMS_ozone_824_1 SAFARI 2000 TOMS Tropospheric Ozone Data, Southern Africa Subset, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-08 2000-09-29 -41, -25, 75, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2789742026-ORNL_CLOUD.umm_json Tropical Tropospheric Ozone (TTO) data from Earth Probe (EP) Total Ozone Mapping Spectrometer (TOMS) for the period of August 8-September 29, 2000 were processed and provided by the Atmospheric Chemistry and Dynamics Branch at NASA/GSFC for the SAFARI 2000 Dry Season Aircraft Campaign.The TTO measurement is derived from TOMS total ozone (Thompson and Hudson, 1999; Thompson et al., 2001) using the modified-residual method to separate stratospheric ozone from tropospheric ozone. The tropospheric ozone column thickness is reported in Dobson Units (DU).EP TOMS is currently the only NASA spacecraft on orbit specializing in ozone retrieval. EP TOMS was launched in 1996 into an orbit 500 km rather than the 950 km that was originally planned. The Earth Probe satellite was boosted to 740 km in 1997 when the ADEOS satellite failed. The lower orbit of EP TOMS decreased the size of the footprint of each measurement, which increased the resolution and also increased the ability to make measurements over cloudless scenes. This orbit was chosen to improve the ability of the TOMS instrument to make measurements of UV-absorbing aerosols in the troposphere and enhanced the capability of converting the TOMS aerosol measurements into geophysical quantities such as optical depth. Tropospheric aerosols play a major role in the Earth's climate and the capability to measure them from a TOMS instrument had recently been developed using data from Nimbus-7 and Meteor-3 TOMS.The TOMS Tropospheric Ozone data are 9-day averaged, gridded (1-degree by 2-degree) ASCII products. There is also a GIF image of each data file. proprietary
-TOPEX_ALTSDR_A TOPEX ALTIMETER SENSOR DATA RECORD POCLOUD STAC Catalog 1992-09-25 2005-10-04 -180, -66, 180, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2617176787-POCLOUD.umm_json The Sensory Data Record (SDR) is similar to the GDR product except that it also contains waveforms, which are required for retracking. This is an expert level product. If you do not need the waveforms then the GDR should suit your needs. proprietary
-TOPEX_POSEIDON_GDR_F_F TOPEX/POSEIDON Geophysical Data Record Version F POCLOUD STAC Catalog 1992-10-13 2005-10-04 -180, -66, 180, 66 https://cmr.earthdata.nasa.gov/search/concepts/C2599212091-POCLOUD.umm_json The TOPEX/POSEIDON Geophysical Data Record (GDR) contains global coverage altimeter data. The objective of the TOPEX/POSEIDON mission, launched in August 1992, is to determine ocean topography with a sea surface height measurement precision of 3 cm and a sealevel measurement accuracy of 13 cm. The dataset contains measurements from two altimeters, a NASA dual frequency (Ku and C band) instrument similar to the Geosat altimeter, and a French space agency (CNES) instrument which is a proof-of-concept solid-state altimeter (Ku band). It also contains Sea Surface Height (SSH), significant wave height, ionospheric correction, tides and other geophysical corrections. It is emphasized that this product is considered research data because of the form and content of the data. The data consist entirely of files comprising headers and data records which contain over a hundred parameters for each second. It is swath data and there are no images. Analysis software is the responsibility of the user. Calculation of sea surface height anomalies from the altimeter range and environmental corrections is the responsibility of the user. The data are arranged in 10 day cycles that are separated into 254 passes, each about 56 minutes. proprietary
TOTE-VOTE_Aerosol_AircraftInSitu_DC8_Data_1 Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) DC-8 In Situ Aerosol Data LARC_ASDC STAC Catalog 1995-12-03 1996-02-20 180, -23.1, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2736753162-LARC_ASDC.umm_json TOTE-VOTE_Aerosol_AircraftInSitu_DC8_Data_1 is the in situ collected onboard the DC-8 aircraft during the Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data from the Multiple-Angle Spectrometer Probe (MASP), 2D-C Aerosol Probe, and FSSP Aerosol Size distributions are featured in this data product. Data collection is complete. The Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP’s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature. proprietary
TOTE-VOTE_Aerosol_AircraftInSitu_DC8_Data_1 Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) DC-8 In Situ Aerosol Data LARC_ASDC STAC Catalog 1995-12-03 1996-02-20 180, -23.1, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2736753162-LARC_ASDC.umm_json TOTE-VOTE_Aerosol_AircraftInSitu_DC8_Data_1 is the in situ collected onboard the DC-8 aircraft during the Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data from the Multiple-Angle Spectrometer Probe (MASP), 2D-C Aerosol Probe, and FSSP Aerosol Size distributions are featured in this data product. Data collection is complete. The Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP’s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature. proprietary
TOTE-VOTE_AircraftRemoteSensing_DC8_DIAL_Data_1 Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data LARC_ASDC STAC Catalog 1995-12-03 1996-02-20 180, -23.1, -180, 89.993 https://cmr.earthdata.nasa.gov/search/concepts/C2736747109-LARC_ASDC.umm_json TOTE-VOTE_AircraftRemoteSensing_DC8_DIAL_Data_1 is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data collection is complete. The Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP’s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature. proprietary
@@ -11266,6 +9877,23 @@ TRACE-A_Satellite_Data_1 TRACE-A Supplementary Satellite Data LARC_CLOUD STAC Ca
TRACE-A_Sondes_Data_1 TRACE-A Balloonsondes and Ozonesondes Data LARC_CLOUD STAC Catalog 1990-03-13 1992-10-26 -56, -25.9, 28.2, -4.27 https://cmr.earthdata.nasa.gov/search/concepts/C2813533459-LARC_CLOUD.umm_json TRACE-A_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure. proprietary
TRACE-A_TraceGas_AircraftInSitu_DC8_Data_1 TRACE-A DC-8 In-Situ Trace Gas Data LARC_CLOUD STAC Catalog 1990-03-13 1992-11-01 -180, -59.98, 58.68, 43.575 https://cmr.earthdata.nasa.gov/search/concepts/C2813461507-LARC_CLOUD.umm_json TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure. proprietary
TRACE-A_Trajectory_Data_1 TRACE-A Kinematic Trajectory Data LARC_CLOUD STAC Catalog 1990-03-13 1992-11-02 -180, -60, 58.69, 19.95 https://cmr.earthdata.nasa.gov/search/concepts/C2813542787-LARC_CLOUD.umm_json TRACE-A_Trajectory_Data is the kinematic trajectory data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure. proprietary
+TRACE-P_Aerosol_AircraftInSitu_DC8_Data_1 TRACE-P DC-8 In-Situ Aerosol Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.umm_json TRACE-P_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Aerosol_AircraftInSitu_P3B_Data_1 TRACE-P P-3B In-Situ Aerosol Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812960006-LARC_CLOUD.umm_json TRACE-P_Aerosol_AircraftInSitu_P3B_Data is the in-situ aerosol data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_AircraftRemoteSensing_DC8_DIAL_Data_1 TRACE-P DC-8 Remotely Sensed Differential Absorption Lidar (DIAL) Data LARC_CLOUD STAC Catalog 2001-02-15 2001-04-11 -180, 13.8, 180, 45.54 https://cmr.earthdata.nasa.gov/search/concepts/C2812929569-LARC_CLOUD.umm_json TRACE-P_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Cloud_AircraftInSitu_DC8_Data_1 TRACE-P DC-8 Aircraft In-situ Cloud Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812953981-LARC_CLOUD.umm_json TRACE-P_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Ground_Data_1 TRACE-P Ground Data LARC_CLOUD STAC Catalog 2001-01-10 2001-05-01 87.6, 20, 143.77, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812973514-LARC_CLOUD.umm_json TRACE-P_Ground_Data is the ground site data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Merge_Data_1 TRACE-P Merge Data LARC_CLOUD STAC Catalog 2001-02-24 2002-04-11 -180, 6.8, 180, 45.6 https://cmr.earthdata.nasa.gov/search/concepts/C2812977572-LARC_CLOUD.umm_json TRACE-P_Merge_Data is the merge data files created from data collected during during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_MetNav_AircraftInSitu_DC8_Data_1 TRACE-P In Situ DC-8 Meteorology and Navigation Data LARC_CLOUD STAC Catalog 2001-02-15 2001-04-11 -180, 13.56, 180, 45.54 https://cmr.earthdata.nasa.gov/search/concepts/C2812946478-LARC_CLOUD.umm_json TRACE-P_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Diode Laser Hygrometer (DLH) instrument is featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_MetNav_Aircraft_InSitu_P3B_Data_1 TRACE-P In Situ P-3B Meteorology and Navigation Data LARC_CLOUD STAC Catalog 2001-02-10 2002-03-01 -180, 6.89, 180, 40.95 https://cmr.earthdata.nasa.gov/search/concepts/C2812963039-LARC_CLOUD.umm_json TRACE-P_MetNav_Aircraft_InSitu_P3B_Data is the in situ meteorology and navigation data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the P-3B Turbulent Air Motion Measurement System (TAMMS) is featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Model_Data_1 TRACE-P Model Data LARC_CLOUD STAC Catalog 2001-02-28 2002-03-01 -180, 6.9, 180, 45.54 https://cmr.earthdata.nasa.gov/search/concepts/C2813383656-LARC_CLOUD.umm_json TRACE-P_Model_Data is the model data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Satellite_Data_1 TRACE-P Supplementary Satellite Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2812983733-LARC_CLOUD.umm_json TRACE-P_Satellite_Data is the supplementary satellite data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Multi-Angle Imaging SpectroRadiometer (MISR) and the Measurements of Pollution in the Troposphere (MOPITT) satellite instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Sondes_Data_1 TRACE-P Balloonsondes and Ozonesondes Data LARC_CLOUD STAC Catalog 1999-01-07 2001-12-29 141.33, 19.43, -155.04, 43.05 https://cmr.earthdata.nasa.gov/search/concepts/C2813394939-LARC_CLOUD.umm_json TRACE-P_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_TraceGas_AircraftInSitu_DC8_Data_1 TRACE-P DC-8 In-Situ Trace Gas Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812936149-LARC_CLOUD.umm_json TRACE-P_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_TraceGas_InSitu_P3B_Data_1 TRACE-P P-3B In-Situ Trace Gas Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812956769-LARC_CLOUD.umm_json TRACE-P_TraceGas_AircraftInSitu_P3B_Data is the in-situ trace gas data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Trajectory_DC8_Data_1 TRACE-P DC-8 Trajectory Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812966620-LARC_CLOUD.umm_json TRACE-P_Trajectory_DC8_Data is the trajectory data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_Trajectory_P3B_Data_1 TRACE-P P-3B Trajectory Data LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.8, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812967709-LARC_CLOUD.umm_json TRACE-P_Trajectory_P3B_Data is the trajectory data collected onboard the P-3B aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Chemical Ionization Mass Spectrometer (CIMS) and the Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_jValue_AircraftInSitu_DC8_Data_1 TRACE-P DC-8 Photolysis Frequencies (J-Values) LARC_CLOUD STAC Catalog 1999-01-07 2002-03-01 -180, 6.89, 180, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2812965228-LARC_CLOUD.umm_json TRACE-P_jValue_AircraftInSitu_DC8_Data is the photolysis frequencies (j-values) measured along the DC-8 flight during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
+TRACE-P_jValue_AircraftInSitu_P3B_Data_1 TRACE-P P-3B Photolysis Frequencies (J-Values) LARC_CLOUD STAC Catalog 2001-02-10 2002-03-01 -180, 6.89, 180, 40.95 https://cmr.earthdata.nasa.gov/search/concepts/C2812969262-LARC_CLOUD.umm_json TRACE-P_jValue_AircraftInSitu_P3B_Data is the photolysis frequencies (j-values) measured along the P-3B flight aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities. TRACE-P deployed its payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging from Asia to the western Pacific. Along with this, TRACE-P had the objective studying the chemical evolution of the air as it moved away from Asia. In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation. TRACE-P also relied on ground sites, and satellites to collect data. The DC-8 aircraft was equipped with 19 instruments in total while the P-3B boasted 21 total instruments. Some instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various wavelengths including aerosol scattering (450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O. DIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm), tropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere. The P-3B aircraft was equipped with various instruments for TRACE-P, some of which include the MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the Condensation particle counter and Pulse Height Analysis (PHA). The MSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN. Finally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes, SeaWiFS cloud imagery, 8-day exposure to TOMS aerosols, and SeaWiFS aerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment. proprietary
TRACERAQ_AircraftRemoteSensing_GV_GCAS_Data_1 TRACER-AQ JSC G-V Aircraft Remotely Sensed GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS) Data LARC_ASDC STAC Catalog 2021-08-09 2021-09-29 -99, 23, 35, 37 https://cmr.earthdata.nasa.gov/search/concepts/C2342535199-LARC_ASDC.umm_json TRACERAQ_AircraftRemoteSensing_GV_GCAS_Data is the remotely sensed GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS) data collected onboard the Johnson Space Center (JSC) Gulfstream V (G-V) aircraft during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is ongoing. The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of Mexico; provide observations for evaluating air quality models and satellite observations; and identify injustices due to air quality in relation to socioeconomic factors. The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas, with a second deployment in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets. The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE Airborne Simulator) for making measurements of column NO2 and HCHO as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure O3 and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations. proprietary
TRACERAQ_AircraftRemoteSensing_GV_HSRL2_Data_1 TRACER-AQ JSC G-V Aircraft Remotely Sensed High Spectral Resolution Lidar-2 (HSRL-2) Data LARC_ASDC STAC Catalog 2021-08-09 2021-09-29 -99, 23, 31, 37 https://cmr.earthdata.nasa.gov/search/concepts/C2342534979-LARC_ASDC.umm_json TRACERAQ_AircraftRemoteSensing_GV_HSRL2_Data is the remotely sensed High Spectral Resolution Lidar-2 (HSRL-2) data collected onboard the Johnson Space Center (JSC) Gulfstream V (G-V) aircraft during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is ongoing. The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of Mexico; provide observations for evaluating air quality models and satellite observations; and identify injustices due to air quality in relation to socioeconomic factors. The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas, with a second deployment in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets. The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE Airborne Simulator) for making measurements of column NO2 and HCHO as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure O3 and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations. proprietary
TRACERAQ_Ground_LaPorte_Data_1 TRACER-AQ La Porte Ground Site Data LARC_ASDC STAC Catalog 2021-08-09 2021-09-30 -100, 22, -83, 38 https://cmr.earthdata.nasa.gov/search/concepts/C2342535056-LARC_ASDC.umm_json TRACERAQ_Ground_LaPorte_Data is the data collected at the LaPorte ground site during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is ongoing. The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of Mexico; provide observations for evaluating air quality models and satellite observations; and identify injustices due to air quality in relation to socioeconomic factors. The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas, with a second deployment in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets. The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE Airborne Simulator) for making measurements of column NO2 and HCHO as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure O3 and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations. proprietary
@@ -11618,53 +10246,81 @@ UAVSAR_POL_PAULI_1 UAVSAR_POLSAR_PAULI ASF STAC Catalog 2008-07-24 165.585938,
UAVSAR_POL_SLOPE_1 UAVSAR_POLSAR_SLOPE ASF STAC Catalog 2008-07-24 165.585938, -47.989922, 137.636719, 83.84881 https://cmr.earthdata.nasa.gov/search/concepts/C1214408428-ASF.umm_json UAVSAR PolSAR Scene Slope proprietary
UAVSAR_POL_STOKES_1 UAVSAR_POLSAR_STOKES ASF STAC Catalog 2008-07-24 165.585938, -47.989922, 137.636719, 83.84881 https://cmr.earthdata.nasa.gov/search/concepts/C1214419355-ASF.umm_json UAVSAR PolSAR Scene Stokes proprietary
UAV_Imagery_BigLakeTrail_1834_1 Multispectral Imagery, NDVI, and Terrain Models, Big Trail Lake, Fairbanks, AK, 2019 ORNL_CLOUD STAC Catalog 2019-08-04 2019-08-04 -147.83, 64.92, -147.81, 64.92 https://cmr.earthdata.nasa.gov/search/concepts/C2761782139-ORNL_CLOUD.umm_json This dataset provides multispectral reflectance imagery (green at 550 nm, red at 660 nm, red edge at 735 nm, and near-infrared at 790 nm), normalized difference vegetation index (NDVI), and digital surface and terrain models for a 0.5 km2 area surrounding Big Trail Lake (BTL) in the Goldstream Creek Valley north of Fairbanks, Alaska. These high spatial resolution maps (13 cm x 13 cm) were generated by unmanned aerial vehicle (UAV) imagery collected on 2019-08-04. Raw images (n=908) were combined into mosaic layers that incorporated ground control points with centimeter accuracy. These layers were then used to generate vegetation, water body, and elevation maps and then combined with in situ measurements of methane flux to improve upscaling models of greenhouse gas emissions. proprietary
-UCLA_DEALIASED_SASS_L3_1 SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (JPL-UCLA-AES) POCLOUD STAC Catalog 1978-07-07 1978-10-11 -180, -70, 180, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2617197672-POCLOUD.umm_json Contains dealiased ocean wind vector components (zonal and meridional) derived from the Seasat-A Scatterometer (SASS) provided on a global 1x1 degree grid. Dealiasing of the SASS data was achieved manually using ship observations in a joint effort between JPL, UCLA and AES. This data set underwent restoration in 1997. Data are provided in ASCII text files at six hour intervals. proprietary
-UDEL_47YR_CLIM_ARCH_Not provided 47-Year Time Series of Gridded Monthly Temperature, Precipitation, and Water Budget Variables SCIOPS STAC Catalog 1950-01-01 1996-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214608501-SCIOPS.umm_json The University of Delaware Center for Climatic Research offers a 47-year time series of gridded monthly temperature, precipitation, and water budget variables data set. The data is split up by Location into three categories: Global Climate Data, South American Climate Data, and Arctic Climate Data. The Global Climate Data is composed of climatologies and time series (1950-1996) of Monthly Air Temperature, Total Precipitation, Terrestrial Water Budgets, and Moisture Indices. The South American and Arctic Climate Data are comprised of climatologies and time series (1960-1990) of Monthly Air Temperature and Total Precipitation. Each set of data may be viewed as an animated MPEG or JAVA Applet file. The data used to create the animations can be downloaded as compressed UNIX TAR files from the project home page. Link to the the data set home page for full data documentation and to obtain the data. http://climate.geog.udel.edu/~climate/ proprietary
-UIUC_SEVERE_TORN_Not provided A Case Study of the Illinois Severe Weather Outbreak of April 19, 1996 SCIOPS STAC Catalog 1996-04-19 1996-04-20 -90, 35, -80, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1214592920-SCIOPS.umm_json "(Summary adapted from the WW2010 Home Page) April 19, 1996: One of the most memorable tornado outbreaks in Illinois history. During the day, 33 tornadoes touching down as supercells errupted during the afternoon and evening hours. Winds were estimated in excess of 170 mph during some of the stronger tornadoes. One of the strongest passed through nearby Ogden, IL. This case study provides in depth resources related to the April 19th outbreak. The Weather World 2010 offers a large data base of archived images with a close examination of the meteorological features associated with these storms. Images captured from live video footage of selected tornadoes and a summary of the prestorm atmospheric conditions are included. In addition, you will find up close and personal photographs of the damage the twisters left behind. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: ""http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/960419/home.rxml""" proprietary
-UIUC_SUPER_STORM_Not provided A Case Study of the March 12-15, 1993 Superstorm via World Wide Web SCIOPS STAC Catalog 1993-03-12 1993-03-15 -125, 25, -65, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1214592913-SCIOPS.umm_json The March 12-15, 1993 superstorm will be remembered as one of the strongest storms to ever strike the Eastern United States. Overall, 270 fatalities were reported with an estimate property damage over $3 billion. Record sea level pressure, low temperatures, and wind gusts were reported by many observation stations. The entire East Coast of the United States from Florida to Maine was affected by this storm. The University of Illinois Weather World 2010 project offers an extensive case study of this major weather event. This study begins with an introduction and is followed by archived surface products and satellite imagery. The surface products (surface analysis) begin at 1200 UTC on March 12, 1993 and end 0900 UTC March 15, 1993. The satellite imagery (visible, infrared, water vapor) begins at 0000 UTC March 12, 1993 and ends 2300 UTC March 15, 1993. This case study is available via World Wide Web from The Weather World 2010 Home Page. Link to: http://ww2010.atmos.uiuc.edu/(Gh)/arch/cases/930312/home.rxml proprietary
-UKASSEL_GLOBAL_IRRIGATED_AREA_Not provided A Digital Global Map of Irrigated Areas SCIOPS STAC Catalog 1995-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214608839-SCIOPS.umm_json "For the purpose of global modeling of water use and crop production, a digital global map of irrigated areas was developed. The map depicts the areal percentage of each 0.5 deg. by 0.5 deg grid cell that was equipped for irrigation in 1995. It was derived by combininginformation from large-scale maps with outlines of irrigated areas (one or more countries per map), FAO data on total irrigated area per country in 1995 and national data on total irrigated area per county, drainage basin or federal state. In the documentation of the map, the data and map sources as well as the map generation process is described, and the data uncertainty is discussed. ""http://www.usf.uni-kassel.de/usf/archiv/dokumente/kwws/kwws.4.pdf"" We plan to improve this map in the future. Therefore, comments, information and data that might contribute to this effort are highly welcome." proprietary
-UM0405_26_aerosol_optical_Not provided Aerosol optical thickness - UM0405_26_aerosol_optical SCIOPS STAC Catalog 2004-12-31 2005-01-25 18, -68, 115, -32 https://cmr.earthdata.nasa.gov/search/concepts/C1221420727-SCIOPS.umm_json The aerosol optical thickness was measured with a sunphotometer. The measurement was conducted only clear sky condition. proprietary
-UM0506_26_aerosol_optical_Not provided Aerosol optical thickness SCIOPS STAC Catalog 2006-01-03 2006-01-30 18, -68, 115, -32 https://cmr.earthdata.nasa.gov/search/concepts/C1214595208-SCIOPS.umm_json The aerosol optical thickness was measured with a sunphotometer. The measurement was conducted only clear sky condition. proprietary
-UM0708_25_multi-frequency_acoustic_Not provided Acoustic data of multi-frequency acoustic system SCIOPS STAC Catalog 2007-12-24 2008-02-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214595173-SCIOPS.umm_json Vertical profiles of volume backscattering strength recorded by multi-frequency acoustic system for estimate size-abundance spectra of small zooplankton. The system was horizontally mounted on CTD frame and the observation was vertically performed from surface to 200 m at 23 stations. proprietary
-UM0809_33_nano_Not provided Abundance and composition of nano, picoplankton, microzooplankton SCIOPS STAC Catalog 2009-01-12 2009-01-25 38, -70, 75, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214595104-SCIOPS.umm_json Water samples from 5 depths (0-100 m) were collected by Niskin bottles at 9 stations (L1, L3, L5, L9, L12, L37, L33, Ⅰ-10, Ⅱ-7) off Lützow-Holm Bay during Umitaka-maru cruise (Jan-Feb. 2008). The waters were fixed by 0.2% of lugol's acid solution (500 ml), 0.3% of bouin solution (500 ml) and 20 % of glutaraldehyde (100ml). http://biows.ac.jp/~plankton/um0809-1a.png proprietary
UMD_GEOL388_0 Measurements from the Atlantic Ocean made by the University of Maryland (UMD) OB_DAAC STAC Catalog 2003-01-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360691-OB_DAAC.umm_json Measurements from the Atlantic Ocean made by the University of Maryland between New England, Bermuda, and Brazil in 2003. proprietary
UNEP_SDG14_2022_0 United Nations Environment Programme - Sustainable Development Goal 14(2022): Index of coastal eutrophication in Latin America OB_DAAC STAC Catalog 2022-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776559368-OB_DAAC.umm_json Validation campaign in support of the United Nations Environment - Sustainable Development Goal 14.1.1a of 2022: Index of coastal eutrophication in Latin America. This dataset contains validation data for ocean color satellite data products and collects nutrient data on eutrophication. The data will be used to evaluate the effectiveness of the satellite-derived indicators and to develop more specific, level 2 satellite data indicators for the member countries in the future. proprietary
USAP-0231006_1 Antarctic Notothenioid Fish Freeze Avoidance and Genome-wide Evolution for Life in the Cold AMD_USAPDC STAC Catalog 1999-12-23 2012-12-11 163, -77.8, 168, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C2534799884-AMD_USAPDC.umm_json Antarctic notothenioid fishes exhibit two adaptive traits to survive in frigid temperatures. The first of these is the production of anti-freeze proteins in their blood and tissues. The second is a system-wide ability to perform cellular and physiological functions at extremely cold temperatures.The proposal goals are to show how Antarctic fishes use these characteristics to avoid freezing, and which additional genes are turned on, or suppressed in order for these fishes to maintain normal physiological function in extreme cold temperatures. Progressively colder habitats are encountered in the high latitude McMurdo Sound and Ross Shelf region, along with somewhat milder near?shore water environments in the Western Antarctic Peninsula (WAP). By quantifying the extent of ice crystals invading and lodging in the spleen, the percentage of McMurdo Sound fish during austral summer (Oct-Feb) will be compared to the WAP intertidal fish during austral winter (Jul-Sep) to demonstrate their capability and extent of freeze avoidance. Resistance to ice entry in surface epithelia (e.g. skin, gill and intestinal lining) is another expression of the adaptation of these fish to otherwise lethally freezing conditions. The adaptive nature of a uniquely characteristic polar genome will be explored by the study of the transcriptome (the set of expressed RNA transcripts that constitutes the precursor to set of proteins expressed by an entire genome). Three notothenioid species (E.maclovinus, D. Mawsoni and C. aceratus) will be analysed to document evolutionary genetic changes (both gain and loss) shaped by life under extreme chronic cold. A differential gene expression (DGE) study will be carried out on these different species to evaluate evolutionary modification of tissue-wide response to heat challenges. The transcriptomes and other sequencing libraries will contribute to de novo ice-fish genome sequencing efforts. proprietary
+USAP-0424589_Not provided Center for Remote Sensing of Ice Sheets (CReSIS) AMD_USAPDC STAC Catalog 2005-06-01 2017-05-31 143, -87.2, -88, -74.2 https://cmr.earthdata.nasa.gov/search/concepts/C2532071823-AMD_USAPDC.umm_json This award is for the continuation of the Center for Remote Sensing of Ice Sheets (CReSIS), an NSF Science and Technology Center (STC) established in June 2005 to study present and probable future contributions of the Greenland and Antarctic ice sheets to sea-level rise. The Center's vision is to understand and predict the role of polar ice sheets in sea level change. In particular, the Center's mission is to develop technologies, to conduct field investigations, to compile data to understand why many outlet glaciers and ice streams are changing rapidly, and to develop models that explain and predict ice sheet response to climate change. The Center's mission is also to educate and train a diverse population of graduate and undergraduate students in Center-related disciplines and to encourage K-12 students to pursue careers in science, technology, engineering and mathematics (STEM-fields). The long-term goals are to perform a four-dimensional characterization (space and time) of rapidly changing ice-sheet regions, develop diagnostic and predictive ice-sheet models, and contribute to future assessments of sea level change in a warming climate. In the first five years, significant progress was made in developing, testing and optimizing innovative sensors and platforms and completing a major aircraft campaign, which included sounding the channel under Jakobshavn Isbr. In the second five years, research will focus on the interpretation of integrated data from a suite of sensors to understand the physical processes causing changes and the subsequent development and validation of models. Information about CReSIS can be found at http://www.cresis.ku.edu. The intellectual merits of the STC are the multidisciplinary research it enables its faculty, staff and students to pursue, as well as the broad education and training opportunities it provides to students at all levels. During the first phase, the Center provided scientists and engineers with a collaborative research environment and the opportunity to interact, enabling the development of high-sensitivity radars integrated with several airborne platforms and innovative seismic instruments. Also, the Center successfully collected data on ice thickness and bed conditions, key variables in the study of ice dynamics and the development of models, for three major fast-flowing glaciers in Greenland. During the second phase, the Center will collect additional data over targeted sites in areas undergoing rapid changes; process, analyze and interpret collected data; and develop advanced process-oriented and ice sheet models to predict future behavior. The Center will continue to provide a rich environment for multidisciplinary education and mentoring for undergraduate students, graduate students, and postdoctoral fellows, as well as for conducting K-12 education and public outreach. The broader impacts of the Center stem from addressing a global environmental problem with critical societal implications, providing a forum for citizens and policymakers to become informed about climate change issues, training the next generation of scientists and engineers to serve the nation, encouraging underrepresented students to pursue careers in STEM-related fields, and transferring new technologies to industry. Students involved in the Center find an intellectually stimulating atmosphere where collaboration between disciplines is the norm and exposure to a wide variety of methodologies and scientific issues enriches their educational experience. The next generation of researchers should reflect the diversity of our society; the Center will therefore continue its work with ECSU to conduct outreach and educational programs that attract minority students to careers in science and technology. The Center has also established a new partnership with ADMI that supports faculty and student exchanges at the national level and provides expanded opportunities for students and faculty to be involved in Center-related research and education activities. These, and other collaborations, will provide broader opportunities to encourage underrepresented students to pursue STEM careers. As lead institution, The University of Kansas (KU) provides overall direction and management, as well as expertise in radar and remote sensing, Uninhabited Aerial Vehicles (UAVs), and modeling and interpretation of data. Five partner institutions and a DOE laboratory play critical roles in the STC. The Pennsylvania State University (PSU) continues to participate in technology development for seismic measurements, field activities, and modeling. The Center of Excellence in Remote Sensing, Education and Research (CERSER) at Elizabeth City State University (ECSU) contributes its expertise to analyzing satellite data and generating high-level data products. ECSU also brings to the Center their extensive experience in mentoring and educating traditionally under-represented students. ADMI, the Association of Computer and Information Science/Engineering Departments at Minority Institutions, expands the program's reach to underrepresented groups at the national level. Indiana University (IU) provides world-class expertise in CI and high-performance computing to address challenges in data management, processing, distribution and archival, as well as high-performance modeling requirements. The University of Washington (UW) provides expertise in satellite observations of ice sheets and process-oriented interpretation and model development. Los Alamos National Laboratory (LANL) contributes in the area of ice sheet modeling. All partner institutions are actively involved in the analysis and interpretation of observational and numerical data sets. proprietary
+USAP-0732711_Not provided Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine Ecosystems - award #0732711 AMD_USAPDC STAC Catalog 2007-09-15 2013-08-31 -68, -67.8, -55.8, -57.8 https://cmr.earthdata.nasa.gov/search/concepts/C2534799512-AMD_USAPDC.umm_json A profound transformation in ecosystem structure and function is occurring in coastal waters of the western Weddell Sea, with the collapse of the Larsen B ice shelf. This transformation appears to be yielding a redistribution of energy flow between chemoautotrophic and photosynthetic production, and to be causing the rapid demise of the extraordinary seep ecosystem discovered beneath the ice shelf. This event provides an ideal opportunity to examine fundamental aspects of ecosystem transition associated with climate change. We propose to test the following hypotheses to elucidate the transfor mations occurring in marine ecosystems as a consequence of the Larsen B collapse: (1) The biogeographic isolation and sub-ice shelf setting of the Larsen B seep has led to novel habitat characteristics, chemoautotrophically dependent taxa and functional adaptations. (2) Benthic communities beneath the former Larsen B ice shelf are fundamentally different from assemblages at similar depths in the Weddell sea-ice zone, and resemble oligotrophic deep-sea communities. Larsen B assemblages are undergoing rapid change. (3) The previously dark, oligotrophic waters of the Larsen B embayment now support a thriving phototrophic community, with production rates and phytoplankton composition similar to other productive areas of the Weddell Sea. To document rapid changes occurring in the Larsen B ecosystem, we will use a remotely operated vehicle, shipboard samplers, and moored sediment traps. We will characterize microbial, macrofaunal and megafaunal components of the seep community; evaluate patterns of surface productivity, export flux, and benthic faunal composition in areas previously covered by the ice shelf, and compare these areas to the open sea-ice zone. These changes will be placed within the geological, glaciological and climatological context that led to ice-shelf retreat, through companion research projects funded in concert with this effort. Together these projects will help predict the likely consequences of ice-shelf collapse to marine ecosystems in other regions of Antarctica vulnerable to climate change. The research features international collaborators from Argentina, Belgium, Canada, Germany, Spain and the United Kingdom. The broader impacts include participation of a science writer; broadcast of science segments by members of the Jim Lehrer News Hour (Public Broadcasting System); material for summer courses in environmental change; mentoring of graduate students and postdoctoral fellows; and showcasing scientific activities and findings to students and public through podcasts. proprietary
+USAP-0732917_1 Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine Ecosystems AMD_USAPDC STAC Catalog 2007-09-15 2015-08-31 -60.5, -65, -55.4, -63.1 https://cmr.earthdata.nasa.gov/search/concepts/C2534800063-AMD_USAPDC.umm_json A profound transformation in ecosystem structure and function is occurring in coastal waters of the western Weddell Sea, with the collapse of the Larsen B ice shelf. This transformation appears to be yielding a redistribution of energy flow between chemoautotrophic and photosynthetic production, and to be causing the rapid demise of the extraordinary seep ecosystem discovered beneath the ice shelf. This event provides an ideal opportunity to examine fundamental aspects of ecosystem transition associated with climate change. We propose to test the following hypotheses to elucidate the transformations occurring in marine ecosystems as a consequence of the Larsen B collapse: (1) The biogeographic isolation and sub-ice shelf setting of the Larsen B seep has led to novel habitat characteristics, chemoautotrophically dependent taxa and functional adaptations. (2) Benthic communities beneath the former Larsen B ice shelf are fundamentally different from assemblages at similar depths in the Weddell sea-ice zone, and resemble oligotrophic deep-sea communities. Larsen B assemblages are undergoing rapid change. (3) The previously dark, oligotrophic waters of the Larsen B embayment now support a thriving phototrophic community, with production rates and phytoplankton composition similar to other productive areas of the Weddell Sea. To document rapid changes occurring in the Larsen B ecosystem, we will use a remotely operated vehicle, shipboard samplers, and moored sediment traps. We will characterize microbial, macrofaunal and megafaunal components of the seep community; evaluate patterns of surface productivity, export flux, and benthic faunal composition in areas previously covered by the ice shelf, and compare these areas to the open sea-ice zone. These changes will be placed within the geological, glaciological and climatological context that led to ice-shelf retreat, through companion research projects funded in concert with this effort. Together these projects will help predict the likely consequences of ice-shelf collapse to marine ecosystems in other regions of Antarctica vulnerable to climate change. The research features international collaborators from Argentina, Belgium, Canada, Germany, Spain and the United Kingdom. The broader impacts include participation of a science writer; broadcast of science segments by members of the Jim Lehrer News Hour (Public Broadcasting System); material for summer courses in environmental change; mentoring of graduate students and postdoctoral fellows; and showcasing scientific activities and findings to students and public through podcasts. proprietary
+USAP-0944266_Not provided Climate, Ice Dynamics and Biology using a Deep Ice Core from the West Antarctic Ice Sheet Ice Divide (0944266) AMD_USAPDC STAC Catalog 2010-08-01 2015-07-31 -112.1115, -79.481, -112.1115, -79.481 https://cmr.earthdata.nasa.gov/search/concepts/C2532070632-AMD_USAPDC.umm_json This award supports renewal of funding of the WAIS Divide Science Coordination Office (SCO). The Science Coordination Office (SCO) was established to represent the research community and facilitates the project by working with support organizations responsible for logistics, drilling, and core curation. During the last five years, 26 projects have been individually funded to work on this effort and 1,511 m of the total 3,470 m of ice at the site has been collected. This proposal seeks funding to continue the SCO and related field operations needed to complete the WAIS Divide ice core project. Tasks for the SCO during the second five years include planning and oversight of logistics, drilling, and core curation; coordinating research activities in the field; assisting in curation of the core in the field; allocating samples to individual projects; coordinating the sampling effort; collecting, archiving, and distributing data and other information about the project; hosting an annual science meeting; and facilitating collaborative efforts among the research groups. The intellectual merit of the WAIS Divide project is to better predict how human-caused increases in greenhouse gases will alter climate requires an improved understanding of how previous natural changes in greenhouse gases influenced climate in the past. Information on previous climate changes is used to validate the physics and results of climate models that are used to predict future climate. Antarctic ice cores are the only source of samples of the paleo-atmosphere that can be used to determine previous concentrations of carbon dioxide. Ice cores also contain records of other components of the climate system such as the paleo air and ocean temperature, atmospheric loading of aerosols, and indicators of atmospheric transport. The WAIS Divide ice core project has been designed to obtain the best possible record of greenhouse gases during the last glacial cycle (last ~100,000 years). The site was selected because it has the best balance of high annual snowfall (23 cm of ice equivalent/year), low dust Antarctic ice that does not compromise the carbon dioxide record, and favorable glaciology. The main science objectives of the project are to investigate climate forcing by greenhouse gases, initiation of climate changes, stability of the West Antarctic Ice Sheet, and cryobiology in the ice core. The project has numerous broader impacts. An established provider of educational material (Teachers' Domain) will develop and distribute web-based resources related to the project and climate change for use in K-12 classrooms. These resources will consist of video and interactive graphics that explain how and why ice cores are collected, and what they tell us about future climate change. Members of the national media will be included in the field team and the SCO will assist in presenting information to the general public. Video of the project will be collected and made available for general use. Finally, an opportunity will be created for cryosphere students and early career scientists to participate in field activities and core analysis. An ice core archive will be available for future projects and scientific discoveries from the project can be used by policy makers to make informed decisions. proprietary
+USAP-0944348_Not provided Climate, Ice Dynamics and Biology using a Deep Ice Core from the West Antarctic Ice Sheet Ice Divide AMD_USAPDC STAC Catalog 2010-08-01 2015-07-31 -112.1115, -79.481, -112.1115, -79.481 https://cmr.earthdata.nasa.gov/search/concepts/C2532070599-AMD_USAPDC.umm_json This award supports renewal of funding of the WAIS Divide Science Coordination Office (SCO). The Science Coordination Office (SCO) was established to represent the research community and facilitates the project by working with support organizations responsible for logistics, drilling, and core curation. During the last five years, 26 projects have been individually funded to work on this effort and 1,511 m of the total 3,470 m of ice at the site has been collected. This proposal seeks funding to continue the SCO and related field operations needed to complete the WAIS Divide ice core project. Tasks for the SCO during the second five years include planning and oversight of logistics, drilling, and core curation; coordinating research activities in the field; assisting in curation of the core in the field; allocating samples to individual projects; coordinating the sampling effort; collecting, archiving, and distributing data and other information about the project; hosting an annual science meeting; and facilitating collaborative efforts among the research groups. The intellectual merit of the WAIS Divide project is to better predict how human-caused increases in greenhouse gases will alter climate requires an improved understanding of how previous natural changes in greenhouse gases influenced climate in the past. Information on previous climate changes is used to validate the physics and results of climate models that are used to predict future climate. Antarctic ice cores are the only source of samples of the paleo-atmosphere that can be used to determine previous concentrations of carbon dioxide. Ice cores also contain records of other components of the climate system such as the paleo air and ocean temperature, atmospheric loading of aerosols, and indicators of atmospheric transport. The WAIS Divide ice core project has been designed to obtain the best possible record of greenhouse gases during the last glacial cycle (last ~100,000 years). The site was selected because it has the best balance of high annual snowfall (23 cm of ice equivalent/year), low dust Antarctic ice that does not compromise the carbon dioxide record, and favorable glaciology. The main science objectives of the project are to investigate climate forcing by greenhouse gases, initiation of climate changes, stability of the West Antarctic Ice Sheet, and cryobiology in the ice core. The project has numerous broader impacts. An established provider of educational material (Teachers' Domain) will develop and distribute web-based resources related to the project and climate change for use in K-12 classrooms. These resources will consist of video and interactive graphics that explain how and why ice cores are collected, and what they tell us about future climate change. Members of the national media will be included in the field team and the SCO will assist in presenting information to the general public. Video of the project will be collected and made available for general use. Finally, an opportunity will be created for cryosphere students and early career scientists to participate in field activities and core analysis. An ice core archive will be available for future projects and scientific discoveries from the project can be used by policy makers to make informed decisions. proprietary
USAP-1043471_Not provided A Study of Atmospheric Dust in the WAIS Divide Ice Core Based on Sr-Nd-Pb-He Isotopes AMD_USAPDC STAC Catalog 2011-08-01 2015-07-31 -112.5, -79.5, -112.086, -79.468 https://cmr.earthdata.nasa.gov/search/concepts/C2532071870-AMD_USAPDC.umm_json This award supports a project to obtain the first set of isotopic-based provenance data from the WAIS divide ice core. A lack of data from the WAIS prevents even a basic knowledge of whether different sources of dust blew around the Pacific and Atlantic sectors of the southern latitudes. Precise isotopic measurements on dust in the new WAIS ice divide core are specifically warranted because the data will be synergistically integrated with other high frequency proxies, such as dust concentration and flux, and carbon dioxide, for example. Higher resolution proxies will bridge gaps between our observations on the same well-dated, well-preserved core. The intellectual merit of the project is that the proposed analyses will contribute to the WAIS Divide Project science themes. Whether an active driver or passive recorder, dust is one of the most important but least understood components of regional and global climate. Collaborative and expert discussion with dust-climate modelers will lead to an important progression in understanding of dust and past atmospheric circulation patterns and climate around the southern latitudes, and help to exclude unlikely air trajectories to the ice sheets. The project will provide data to help evaluate models that simulate the dust patterns and cycle and the relative importance of changes in the sources, air trajectories and transport processes, and deposition to the ice sheet under different climate states. The results will be of broad interest to a range of disciplines beyond those directly associated with the WAIS ice core project, including the paleoceanography and dust- paleoclimatology communities. The broader impacts of the project include infrastructure and professional development, as the proposed research will initiate collaborations between LDEO and other WAIS scientists and modelers with expertise in climate and dust. Most of the researchers are still in the early phase of their careers and hence the project will facilitate long-term relationships. This includes a graduate student from UMaine, an undergraduate student from Columbia University who will be involved in lab work, in addition to a LDEO Postdoctoral scientist, and possibly an additional student involved in the international project PIRE-ICETRICS. The proposed research will broaden the scientific outlooks of three PIs, who come to Antarctic ice core science from a variety of other terrestrial and marine geology perspectives. Outreach activities include interaction with the science writers of the Columbia's Earth Institute for news releases and associated blog websites, public speaking, and involvement in an arts/science initiative between New York City's arts and science communities to bridge the gap between scientific knowledge and public perception. proprietary
USAP-1043623_1 Air-Sea Fluxes of Momentum, Heat, and Carbon Dioxide at High Wind Speeds in the Southern Ocean AMD_USAPDC STAC Catalog 2011-06-15 2015-05-31 117.5, -67.4, 146, -47 https://cmr.earthdata.nasa.gov/search/concepts/C2532072248-AMD_USAPDC.umm_json Accurate parameterizations of the air-sea fluxes of CO2 into the Southern Ocean, in particular at high wind velocity, are needed to better assess how projections of global climate warming in a windier world could affect the ocean carbon uptake, and alter the ocean heat budget at high latitudes. Air-sea fluxes of momentum, sensible and latent heat (water vapor) and carbon dioxide (CO2) are to be measured continuously underway on cruises using micrometeorological eddy covariance techniques adapted to ship-board use. The measured gas transfer velocity (K) is then to be related to other parameters known to affect air-sea-fluxes. A stated goal of this work is the collection of a set of direct air-sea flux measurements at high wind speeds, conditions where parameterization of the relationship of gas exchange to wind-speed remains contentious. The studies will be carried out at sites in the Southern Ocean using the USAP RV Nathaniel B Palmer as measurment platform. Co-located pCO2 data, to be used in the overall analysis and enabling internal consistency checks, are being collected from existing underway systems aboard the USAP research vessel under other NSF awards. proprietary
+USAP-1056396_1 CAREER: Protist Nutritional Strategies in Permanently Stratified Antarctic Lakes AMD_USAPDC STAC Catalog 2011-05-01 2016-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532071892-AMD_USAPDC.umm_json This project supported an integrated research and education program in the fields of polar biology and environmental microbiology, focusing on single-celled eukaryotes (protists) in high latitude ice-covered Antarctic lakes systems. Protists play important roles in energy flow and material cycling, and act as both primary producers (fixing inorganic carbon by photosynthesis) and consumers (preying on bacteria by phagotrophic digestion). The McMurdo Dry Valleys (MDV) located in Victoria Land, Antarctica, harbor microbial communities which are isolated in the unique aquatic ecosystem of perennially ice-capped lakes. The project studied: (1) the impact of permanent biogeochemical gradients on protist trophic strategy, (2) the effect of major abiotic drivers (light and nutrients) on the distribution of two key mixotrophic and photoautotrophic protist species, and (3) the effect of episodic nutrient pulses on mixotroph communities in high latitude (ultraoligotrophic) MDV lakes versus low latitude (eutrophic) watersheds. Sampling dates: February 4 – April 10, 2008; November 11- 28, 2012; December 12, 2012 Sampling locations/depths: East Lobe Lake Bonney/5m, 10m, 13m, 15m, 20m, 25m, 30m West Lobe Lake Bonney/5m, 10m, 13m, 15m, 20m, 25m, 30m Lake Fryxell/5m, 7m, 9m, 11m, 12m, 15m Lake Vanda/10m, 20m, 30m, 40m, 50m, 60m, 70m, 75m, 80m Two kinds of metadata from this project are available: 1) DNA sequence data – DNA was extracted from filtered lake water (1-2L) collected from sampling locations and dates reported above. Environmental DNA was PCR-amplified using primers specific for the following genes: 16S rRNA, 18S rRNA, rbcL, cbbM, nifJ, psbA. Genes were sequenced on an Applied Biosystems DNA analyzer or an Illumina MiSeq or HiSeq instruments. All DNA sequences from this project are available via GenBank. 2) Limnological metadata - Limnological data was collected from sampling locations and dates reported above. Data includes PAR, conductivity, temperature, Chlorophyll a, and macronutrients and is available via the McMurdo Dry Valleys LTER Data Center. proprietary
USAP-1141939_Not provided Antarctic Cloud Physics: Fundamental Observations from Ross Island AMD_USAPDC STAC Catalog 2012-08-15 2015-07-31 -167.0365, -77.57, -166.31, -77.5203 https://cmr.earthdata.nasa.gov/search/concepts/C2532071883-AMD_USAPDC.umm_json Antarctic clouds constitute an important parameter of the surface radiation budget and thus play a significant role in Antarctic climate and climate change. The variability in, and long term trends of, cloud optical and microphysical properties are therefore fundamental in parameterizing the mixed phase (water-snow-ice) coastal Antarctic stratiform clouds experienced around the continent. Using a spectoradiometer that covers the wavelength range of 350 to 2200nm, the downwelled spectral irradiance at the earth surface (Ross Island) will be used to retrieve the optical depth, thermodynamic phase, liquid water droplet effective radius, and ice-cloud effective particle size of overhead clouds, at hourly intervals and for an austral summer season (Oct-March). Based on the very limited data sets that exist for the maritime Antarctic, expectations are that Ross Island (Lat 78 S) should exhibit clouds with: a) An abundance of supercooled liquid water, and related mixed-phase cloud processes b) Cloud nucleation from year round biogenic and oceanic sources, in an otherwise pristine environment c) Simple cloud geometries of predominantly stratiform cloud decks Increased understanding of the cloud properties in the region of the main USAP base, McMurdo station is also relevant to operational weather forecasting relevant to aviation. A range of educational and outreach activities are associate with the project, including provision of workshops for high school teachers will be carried out. proprietary
USAP-1142084_1 Applying High-resolution GPS Tracking to Characterize Sensory Foraging Strategies of the Black-browed Albatross, a Top Predator of the Southern Ocean Ecosystem AMD_USAPDC STAC Catalog 2012-08-15 2015-07-31 40, -60, 100, -25 https://cmr.earthdata.nasa.gov/search/concepts/C2532071897-AMD_USAPDC.umm_json "We collected GPS tracks and stomach temperature records from Blackbrowed Albatross from a breeding colony at ""Canon des Sourcils Noirs"" on Kerguelen Island for the purpose of analyzing their flight patterns with regard to foraging events. We found that most birds regurgitated their stomach temperature pill transmitters early on in their trip. The GPS tracks do show their overall foraging flight patterns and include events that are characteristic of olfactory foraging such as upwind turns and zigzagging flight." proprietary
+USAP-1149085_1 CAREER: Bound to Improve - Improved Estimates of the Glaciological Contribution to Sea Level Rise AMD_USAPDC STAC Catalog 2012-09-01 2017-08-31 66, -74, 75, -68 https://cmr.earthdata.nasa.gov/search/concepts/C2785576641-AMD_USAPDC.umm_json This CAREER award supports a project to develop physically based bounds on the amount ice sheets can contribute to sea level rise in the coming centuries. To simulate these limits, a three-dimensional discrete element model will be developed and applied to simulate regions of interest in the Greenland and Antarctic ice sheets. These regions will include Helheim Glacier, Jakobshavn Isbräe, Pine Island Glacier and sections of the Larsen Ice Shelf. In the discrete element model the ice will be discretized into distinct blocks or boulders of ice that interact through inelastic collisions, frictional forces and bonds. The spectrum of best to worst case scenarios will be examined by varying the strength and number of bonds between neighboring blocks of ice. The worst case scenario corresponds to completely disarticulated ice that behaves in a manner akin to a granular material while the best case scenario corresponds to completely intact ice with no preexisting flaws or fractures. Results from the discrete element model will be compared with those from analogous continuum models that incorporate a plastic yield stress into the more traditional viscous flow approximations used to simulate ice sheets. This will be done to assess if a fracture permitting plastic rheology can be efficiently incorporated into large-scale ice sheet models to simulate the evolution of ice sheets over the coming centuries. This award will also support to forge a partnership with two science teachers in the Ypsilanti school district in southeastern Michigan. The Ypsilanti school district is a low income, resource- poor region with a population that consists of ~70% underrepresented minorities and ~69% of students qualify for a free or reduced cost lunch. The cornerstone of the proposed partnership is the development of lesson plans and content associated with a hands-on ice sheet dynamics activity for 6th and 7th grade science students. The activity will be designed so that it integrates into existing classroom lesson plans and is aligned with State of Michigan Science Technology, Engineering and Math (STEM) curriculum goals. The aim of this program is to not only influence the elementary school students, but also to educate the teachers to extend the impact of the partnership beyond the duration of this study. Graduate students will be mentored and engaged in outreach activities and assist in supervising undergraduate students. Undergraduates will play a key role in developing an experimental, analogue ice dynamics lab designed to illustrate how ice sheets and glaciers flow and allow experimental validation of the proposed research activities. The research program advances ice sheet modeling infrastructure by distributing results through the community based Community Ice Sheet Model. proprietary
+USAP-1245766_1 Cold Corals in Hot Water - Investigating the Physiological Responses of Antarctic Coral Larvae to Climate change Stress AMD_USAPDC STAC Catalog 2013-09-01 2019-08-31 -63.0796667, -61.5157, -63.0796667, -61.5157 https://cmr.earthdata.nasa.gov/search/concepts/C2532072034-AMD_USAPDC.umm_json The Western Antarctic Peninsula is experiencing climate change at one of the fastest rates of anywhere around the globe. Accelerated climate change is likely to affect the many benthic marine invertebrates that live within narrow temperature windows along the Antarctic Continental Shelf in presently unidentified ways. At present however, there are few data on the physiological consequences of climate change on the sensitive larval stages of cold-water corals, and none on species living in thermal extremes such as polar waters. This project will collect the larvae of the non-seasonal, brooding scleractinian Flabellum impensum to be used in a month-long climate change experiment at Palmer Station. Multidisciplinary techniques will be used to examine larval development and cellular stress using a combination of electron microscopy, flow cytometry, and Inductively Coupled Plasma Mass Spectometry. Data from this project will form the first systematic study of the larval stages of polar cold-water corals, and how these stages are affected by temperature stress at the cellular and developmental level. Cold-water corals have been shown to be important ecosystem engineers, providing habitat for thousands of associated species, including many that are of commercial importance. Understanding how the larvae of these corals react to warming trends seen today in our oceans will allow researchers to predict future changes in important benthic communities around the globe. Associated education and outreach include: 1) Increasing student participation in polar research by involving postdoctoral and undergraduate students in the field and research program; ii) promotion of K-12 teaching and learning programs by providing information via a research website, Twitter, and in-school talks in the local area; iii) making the data collected available to the wider research community via peer reviewed published literature and iv) reaching a larger public audience through such venues as interviews in the popular media, You Tube and other popular media outlets, and local talks to the general public. proprietary
USAP-1246045_1 Anisotropic Ice and Stratigraphic Disturbances AMD_USAPDC STAC Catalog 2013-06-01 2017-11-30 -180, -90, 180, -70 https://cmr.earthdata.nasa.gov/search/concepts/C2532071896-AMD_USAPDC.umm_json "This award supported a project that investigated a number of questions regarding the measurement and development of crystal orientation fabrics in ice sheets, and the relation of crystal orientation fabric to the development of stratigraphic disturbances in ice. Interpretation of thin-section fabric measurements requires accurate understanding of uncertainty and other statistical aspects of the measurements. To this end, we developed novel mathematically-justified uncertainty estimates for fabric parameters derived from thin sections. These estimates were applied to thin-section data collected at the WAIS Divide ice-core, showing that uncertainty of fabric eigenvalues derived from ice cores can be larger than usually assumed. We also examined the use of parameterized c-axis orientation-distribution functions (PODFs). We introduced the Bingham distribution to glaciology as a PODF. We developed maximum-likelihood methods of fitting PODFs to thin-section data, and used these methods to compare previously proposed PODFs and the Bingham distribution to thin-section data from the WAIS and Siple Dome ice cores. To gain more accurate estimates of crystal orientation fabric from ice cores, we developed a method to accurately infer ice fabric leveraging both thin-section measurements and measurements of borehole sonic velocities in such a way that retains the strengths of both methods while reducing their weaknesses. We applied this technique to data from the WAIS and NEEM ice cores. Sonic velocity measurements sample large volumes of ice, and thus do not suffer from the sampling error of thin-section c-axis measurements. However, sonic-velocity measurements are often subject to large amounts of low spatial-frequency error. This error resulted in the sonic velocity measurements taken at WAIS and NEEM being of limited utility in isolation. Using our technique, we corrected this error to provide a spatially-continuous, and accurate record of fabric. We conducted the first theoretical examination of the stability of coupled anisotropic ice flow and crystal orientation fabric development. We developed an analytical coupled anisotropic ice flow and crystal fabric evolution model. Using this model, we showed that anisotropic ice flow coupled to fabric evolution can be unstable in both simple shear and pure shear. In particular, we showed that in our model, shear bands leading to layer offsets can occur in pure shear. This has important implications for understanding the development of smaller-scale folding and other stratigraphic disturbances commonly observed in ice sheets. We also showed that plane flow in simple shear and pure shear is susceptible to fabric perturbations leading to a nonzero out-of-plane velocity component. This shows that two-dimensional models previously applied to anisotropic ice flow are insufficient to capture the full dynamics of the coupled system. The results of this work are useful for a number of areas in glaciology. The work on uncertainty and measurement of crystal orientation fabric is not only important for studying the development of fabric in ice sheets, but also allows for improved inference of past climate from crystal fabric. Our work in the dynamics of coupled ice flow and fabric is an important step forward in understanding the development of stratigraphic disturbances in ice sheets, which are a key difficulty in constructing accurate ice-core depth-age relationships, especially in deep, old ice. To our knowledge, it is the first analytical coupled model, and the first examination of stability of the coupled system. This work was communicated to the glaciology community by a number of talks and poster sessions, and will be published in upcoming papers. We communicated this work to the public with outreach events at the Seattle Science Center and general public lectures at Bellevue College. Code developed during the project is archived on github at https://github.com/mjhay/ The NEEM Sonic Model section of the github repository contains Python 2.7 code that takes in crystal-fabric eigenvalues inferred from thin section of an ice core, and sonic velocities (P,Sv,S) measured in the borehole, and produces a new and improved set of eigenvalues as a function of core depth. The Stochastic_fabric section of the github repository contains scripts written in the Julia programming language and in the Python language, relating to stochastic models of ice sheet fabric. This includes a method of solving stochastic differential equations resulting from forcing a fabric evolution model with a velocity gradient with stochastic noise. Additional utilities are provided for maximum-likelihood fits of parameterized orientation distribution functions to thin section data, and bootstrap and analytical estimates of thin-section fabric uncertainty." proprietary
+USAP-1341464_1 Collaborative Proposal: A Field and Laboratory Examination of the Diatom N and Si Isotope Proxies: Implications for Assessing the Southern Ocean Biological Pump AMD_USAPDC STAC Catalog 2016-01-01 2019-12-31 -175, -67, -165, -54 https://cmr.earthdata.nasa.gov/search/concepts/C2560369936-AMD_USAPDC.umm_json The rise in atmospheric carbon dioxide concentrations and associated climate changes make understanding the role of the ocean in large scale carbon cycle a priority. Geologic samples allow exploration of potential mechanisms for carbon dioxide drawdown during glacial periods through the use of geochemical proxies. Nitrogen and silicon isotope signatures from fossil diatoms (microscopic plants) are used to investigate changes in the physical supply and biological demand for nutrients (like nitrogen and silicon and carbon) in the Southern Ocean. The project will evaluate the use the nitrogen and silicon isotope proxies through a series of laboratory experiments and Southern Ocean field sampling. The results will provide quantification of real relationships between nitrogen and silicon isotopes and nutrient usage in the Southern Ocean and allow exploration of the role of other factors, including biological diversity, ice cover, and mixing, in altering the chemical signatures recorded by diatoms. Seafloor sediment samples will be used to evaluate how well the signal created in the water column is recorded by fossil diatoms buried in the seafloor. Improving the nutrient isotope proxies will allow for a more quantitative understanding of the role of polar biology in regulating natural variation in atmospheric carbon dioxide. The project will also result in the training of a graduate student and development of outreach materials targeting a broad popular audience. This project seeks to test the fidelity of the diatom nitrogen and silicon isotope proxies, two commonly used paleoceanographic tools for investigating the role of the Southern Ocean biological pump in regulating atmospheric CO2 concentrations on glacial-interglacial timescales. Existing ground-truthing data, including culture experiments, surface sediment data and downcore reconstructions, all suggest that nutrient utilization is the primary driver of isotopic variation in the Southern Ocean. However, strong contribution of interspecific variation is implied by recent culture results. Moreover, field and laboratory studies present some contradictory results in terms of the relative importance of interspecific variation and of inferred post-depositional alteration of the nutrient isotope signals. Here, a first order test of the N and Si diatom nutrient isotope paleo-proxies, involving water column dissolved and particulate sampling and laboratory culturing of field-isolates, is proposed. Southern Ocean water, biomass, live diatoms and fossil diatom sampling will be conducted to investigate species and assemblage related variability in diatom nitrogen and silicon isotopes and their relationship to surface nutrient fields and early diagenesis. Access to fresh materials produced in an analogous environmental context to the sediments of primary interest is critical for making robust paleoceanographic reconstructions. Field sampling will occur along 175°W, transecting the Antarctic Circumpolar Current from the subtropics to the marginal ice edge. Collection of water, sinking/suspended particles and multi-core samples from 13 stations and 3 shipboard incubation experiments will be used to test four proposed hypotheses that together evaluate the significance of existing culture results and seek to allow the best use of diatom nutrient isotope proxies in evaluating the biological pump. proprietary
USAP-1341612_1 Assembling and Mining the Genomes of Giant Antarctic Foraminifera AMD_USAPDC STAC Catalog 2014-09-01 2017-08-31 163.5117, -77.57623, 163.5117, -77.57623 https://cmr.earthdata.nasa.gov/search/concepts/C2532071925-AMD_USAPDC.umm_json "Agglutinated foraminifera (forams for short) are early-evolving, single-celled organisms. These ""living fossils"" construct protective shells using sediment grains held together by adhesive substances that they secrete. During shell construction, agglutinated forams display amazing properties of selection - for example, some species build their shells of clear quartz grains, while other species use only grains of a specific size. Understanding how these single cells assemble complex structures may contribute to nanotechnology by enabling people to use forams as ""cellular machines"" to aid in the construction of nano-devices. This project will analyze the genomes of at least six key foram species, and then ""mine"" these genomes for technologically useful products and processes. The project will focus initially on the adhesive materials forams secrete, which may have wide application in biomedicine and biotechnology. Furthermore, the work will further develop a molecular toolkit which could open up new avenues of research on the physiology, ecology, and population dynamics of this important group of Antarctic organisms. The project will also further the NSF goals of making scientific discoveries available to the general public and of training new generations of scientists. Educational experiences related to the ""thrill of scientific exploration and discovery"" for students and the general public will be provided through freely-available short films and a traveling art/science exhibition. The project will also provide hands-on research opportunities for undergraduate students. Explorers Cove, situated on the western shore of McMurdo Sound, harbors a unique population of foraminiferan taxa at depths accessible by scuba diving that otherwise are primarily found in the deep sea. The project will use next-generation DNA sequencing and microdissection methods to obtain and analyze nuclear and mitochondrial genomes from crown members of two species each from three distinct, early-evolving foraminiferal groups. It will also use next generation sequencing methods to characterize the in-situ prokaryotic assemblages (microbiomes) of one of these groups and compare them to reference sediment microbiomes. The phyogenomic studies of the targeted Antarctic genera will help fill significant gaps in our current understanding of early foram evolution. Furthermore, comparative genomic analyses of these six species are expected to yield a better understanding of the physiology of single-chambered agglutinated forams, especially the bioadhesive proteins and regulatory factors involved in shell composition and morphogenesis. Additionally, the molecular basis of cold adaptation in forams will be examined, particularly with respect to key proteins." proprietary
USAP-1341680_1 Ancient landscape-active Surfaces: Periglacial Hyperinflation in soils of Beacon Valley, Antarctica AMD_USAPDC STAC Catalog 2014-01-01 2015-12-31 160, -78, 162, -77 https://cmr.earthdata.nasa.gov/search/concepts/C2532072213-AMD_USAPDC.umm_json Intellectual Merit: This project will yield new information on the long term Antarctic climate and landscape evolution from measurements of cosmogenic nuclides in quartz sand from two unique permafrost cores collected in Beacon Valley, Antarctica. The two cores have already been drilled in ice-cemented, sand-rich permafrost at 5.5 and 30.6 meters depth, and are currently in cold storage at the University of Washington. The cores are believed to record the monotonic accumulation of sand that has been blown into lower Beacon Valley and inflated the surface over time. The rate of accumulation and any hiatus in the accumulation are believed to reflect in part the advance and retreat of the Taylor Glacier. Preliminary measurements of cosmogenically-produced beryllium (10Be) and aluminum (26Al) in quartz sand in the 5.5-meter depth core reveal that it has been accreting at a rate of 2.5 meters/Myr for the past million years. Furthermore, prior to that time, lower Beacon Valley was most likely covered (shielded from the atmosphere thereby having no or very low production of cosmogenic nuclides in quartz) by Taylor Glacier from 1 to 3.5 Myr BP. These preliminary measurements also suggest that the 30.6 meter core may provide a record of over 10 million years. The emphasis is the full characterization of the core and analysis of cosmogenic nuclides (including cosmogenic neon) in the 30.6 meter permafrost core to develop a burial history of the sands and potentially a record the waxing and waning of the Taylor Glacier. This will allow new tests of our current understanding of surface dynamics and climate history in the McMurdo Dry Valleys (MDV) based on the dated stratigraphy of eolian sand that has been accumulating and inflating the surface for millions of years. This is a new process of surface inflation whose extent has not been well documented, and holds the potential to develop a continuous history of surface burial and glacial expansion. This project will provide a new proxy for understanding the climatic history of the Dry Valleys and will test models for the evolution of permafrost in Beacon Valley. Broader impacts: The landscape history of the McMurdo Dry Valleys is important because geological deposits there comprise the richest terrestrial record available from Antarctica. By testing the current age model for these deposits, we will improve understanding of Antarctica?s role in global climate change. This project will train one graduate and one undergraduate student in geochemistry, geochronology, and glacial and periglacial geology. They will participate substantively in the research and are expected to develop their own original ideas. Results from this work will be incorporated into undergraduate and graduate teaching curricula, will be published in the peer reviewed literature, and the data will be made public. proprietary
+USAP-1341712_Not provided Collaborative Proposal: Decades-long Experiment on Wind-Driven Rock Abrasion in the Ice-Free Valleys, Antarctica AMD_USAPDC STAC Catalog 2014-12-15 2017-11-30 160.9, -77.6, 162.7, -76.7 https://cmr.earthdata.nasa.gov/search/concepts/C2532071865-AMD_USAPDC.umm_json Many of the natural processes that modify the landscape inhabited by humans occur over very long timescales, making them difficult to observe. Exceptions include rare catastrophic events such as earthquakes, volcanic eruptions, and floods that occur on short timescales. Many significant processes that affect the land and landscape that we inhabit operate on time scales imperceptible to humans. One of these processes is wind transport of sand, with related impacts to exposed rock surfaces and man-made objects, including buildings, windshields, solar panels and wind-farm turbine blades. The goal of this project is to gain an understanding of wind erosion processes over long timescales, in the Antarctic Dry Valleys, a cold desert environment where there were no competing processes (such as rain and vegetation) that might mask the effects. The main objective is recovery of rock samples that were deployed in 1983/1984 at 11 locations in the Antarctic Dry Valleys, along with measurements on the rock samples and characterization of the sites. In the late 1980s and early 1990s some of these samples were returned and indicated more time was needed to accumulate information about the timescales and impacts of the wind erosion processes. This project will allow collection of the remaining samples from this experiment after 30 to 31 years of exposure. The field work will be carried out during the 2014/15 Austral summer. The results will allow direct measurement of the abrasion rate and hence the volumes and timescales of sand transport; this will conclude the longest direct examination of such processes ever conducted. Appropriate scaling of the results may be applied to buildings, vegetation (crops), and other aspects of human presence in sandy and windy locations, in order to better determine the impact of these processes and possible mitigation of the impacts. The project is a collaborative effort between a small business, Malin Space Scien ce Systems (MSSS), and the University of Washington (UW). MSSS will highlight this Antarctic research on its web site, by developing thematic presentations describing our research and providing a broad range of visual materials. The public will be engaged through daily updates on a website and through links to material prepared for viewing in Google Earth. UW students will be involved in the laboratory work and in the interpretation of the results. Technical Description of Project: The goal of this project is to study the role of wind abrasion by entrained particles in the evolution of the McMurdo Dry Valleys in the Transantarctic Mountains. During the 1983 to 1984 field seasons, over 5000 rock targets were installed at five heights facing the 4 cardinal directions at 10 locations (with an additional site containing fewer targets) to study rates of physical weathering due primarily to eolian abrasion. In addition, rock cubes and cylinders were deployed at each site to examine effects of chemical weathering. The initial examination of sam ples returned after 1, 5, and 10 years of exposure, showed average contemporary abrasion rates consistent with those determined by cosmogenic isotope studies, but further stress that average should not be interpreted as meaning uniform. The samples will be characterized using mass measurements wtih 0.01 mg precision balances, digital microphotography to compare the evolution of their surface features and textures, SEM imaging to examine the micro textures of abraded rock surfaces, and optical microscopy of thin sections of a few samples to examine the consequences of particle impacts extending below the abraded surfaces. As much as 60-80% of the abrasion measured in samples from 1984-1994 appears to have occurred during a few brief hours in 1984. This is consistent with theoretical models that suggest abrasion scales as the 5th power of wind velocity. The field work will allow return of multiple samples after three decades of exposure, which will provide a statistical sampling (beyond what is acquired by studying a single sample), and will yield the mass loss data in light of complementary environmental and sand kinetic energy flux data from other sources (e.g. LTER meteorology stations). This study promises to improve insights into one of the principal active geomorphic process in the Dry Valleys, an important cold desert environment, and the solid empirical database will provide general constraints on eolian abrasion under natural conditions. proprietary
+USAP-1341717_1 Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica AMD_USAPDC STAC Catalog 2015-06-15 2019-05-31 160, -78, -150, -55 https://cmr.earthdata.nasa.gov/search/concepts/C2545372301-AMD_USAPDC.umm_json The one place on Earth consistently showing increases in sea ice area, duration, and concentration is the Ross Sea in Antarctica. Satellite imagery shows about half of the Ross Sea increases are associated with changes in the austral fall, when the new sea ice is forming. The most pronounced changes are also located near polynyas, which are areas of open ocean surrounded by sea ice. To understand the processes driving the sea ice increase, and to determine if the increase in sea ice area is also accompanied by a change in ice thickness, this project will conduct an oceanographic cruise to the polynyas of the Ross Sea in April and May, 2017, which is the austral fall. The team will deploy state of the art research tools including unmanned airborne systems (UASs, commonly called drones), autonomous underwater vehicles (AUVs), and remotely operated underwater vehicles (ROVs). Using these tools and others, the team will study atmospheric, oceanic, and sea ice properties and processes concurrently. A change in sea ice production will necessarily change the ocean water below, which may have significant consequences for global ocean circulation patterns, a topic of international importance. All the involved institutions will be training students, and all share the goal of expanding climate literacy in the US, emphasizing the role high latitudes play in the Earth's dynamic climate. The main goal of the project is to improve estimates of sea ice production and water mass transformation in the Ross Sea. The team will fully capture the spatial and temporal changes in air-ice-ocean interactions when they are initiated in the austral fall, and then track the changes into the winter and spring using ice buoys, and airborne mapping with the newly commissioned IcePod instrument system, which is deployed on the US Antarctic Program's LC-130 fleet. The oceanographic cruise will include stations in and outside of both the Terra Nova Bay and Ross Ice Shelf polynyas. Measurements to be made include air-sea boundary layer fluxes of heat, freshwater, and trace gases, radiation, and meteorology in the air; ice formation processes, ice thickness, snow depth, mass balance, and ice drift within the sea ice zone; and temperature, salinity, and momentum in the ocean below. Following collection of the field data, the team will improve both model parameterizations of air-sea-ice interactions and remote sensing algorithms. Model parameterizations are needed to determine if sea-ice production has increased in crucial areas, and if so, why (e.g., stronger winds or fresher oceans). The remote sensing validation will facilitate change detection over wider areas and verify model predictions over time. Accordingly this project will contribute to the international Southern Ocean Observing System (SOOS) goal of measuring essential climate variables continuously to monitor the state of the ocean and ice cover into the future. proprietary
+USAP-1419979_1 Collaborative Research: Phase 2 Development of A Rapid Access Ice Drilling (RAID) Platform for Research in Antarctica AMD_USAPDC STAC Catalog 2014-07-23 2019-07-31 166.65, -78.625, 166.69, -78.62 https://cmr.earthdata.nasa.gov/search/concepts/C2532072235-AMD_USAPDC.umm_json The PIs have designed and built a new type of rapid access ice drill (RAID) for use in Antarctica. This community tool has the ability to rapidly drill through ice up to 3300 m thick and then collect samples of the ice, ice-sheet bed interface, and bedrock substrate below. This drilling technology will provide a new way to obtain in situ measurements and samples for interdisciplinary studies in geology, glaciology, paleoclimatology, microbiology, and astrophysics. The RAID drilling platform will give the scientific community access to records of geologic and climatic change on a variety of timescales, from the billion-year rock record to million-year ice and climate histories. Development of this platform will enable scientists to address critical questions about the deep interface between the Antarctic ice sheets and the substrate below. Phase I was for design and work with the research community to develop detailed science requirements for the drill. This proposal, Phase II, constructed, assembled and tested the RAID drilling platform at a site near McMurdo (Minna Bluff) where 700-m thick ice sits on bedrock. proprietary
USAP-1443260_Not provided Allan HILLs Englacial Site (AHILLES) Selection AMD_USAPDC STAC Catalog 2015-09-01 2017-08-31 159, -76.85, 159.3, -76.68 https://cmr.earthdata.nasa.gov/search/concepts/C2532070577-AMD_USAPDC.umm_json "Previous work has shown that the Allan Hills Blue Ice Area preserves a continuous climate record that extends back at least 400k years along an ice-flow line. Two kilometers to the east of this flow line, the oldest ice on Earth (~1 million years old) has been found only 120 m below the surface. Meteorites collected in the area are reported to be as old as 1.8 million years, suggesting still older ice may be present. Combined, these data suggest that the Allan Hills area could contain a continuous, well-resolved environmental record spanning at least the last million years. The area has been selected as an upcoming target for the Intermediate Depth Ice Core Drill by the US Ice Core Working Group. The project goal of this project is to select a core site to extract a continuous record of million-year-old ice. Ice-penetrating radar surveys will be used to track outcropping dated radar-detected layers throughout the region. The maps of ice-thickness and isochronous layers will be used to select a potential drill site. Ice cores provide a robust reconstruction of past climate and extending this record beyond 800k years will open new opportunities to study the Earth climate system. The data collected will also be used to investigate bedrock and ice flow conditions that are favorable to the preservation of old ice, which may allow targeted investigation of other blue ice areas in Antarctica. Results from this study will ensure the successful future collection of the oldest, continuous ice core climate record thereby advancing scientific discovery and innovation. The study will also enhance research partnerships and infrastructure by extension of the framework for an ""Ice Climate Park"" in the Allan Hills at which any interested US or foreign investigator could study continuous climate archives for the past 1+ Ma through the collection of highly accessible, large volume samples from developed ice age and flow maps. UMaine's state-of-th e-art cyber-infrastructure will provide the global community of scientists with fast access to project result. Work will be presented to the public through outreach programs including, but not limited to, school visits, on-site tours, and media releases. Lastly, the project will provide Antarctic fieldwork and research experience for a graduate student and support the career development of two early career scientists." proprietary
+USAP-1443470_1 Carbonyl Sulfide, Methyl Chloride, and Methyl Bromide Measurements in the New Intermediate-depth South Pole Ice Core AMD_USAPDC STAC Catalog 2015-06-15 2019-11-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532072223-AMD_USAPDC.umm_json In the past, Earth's climate underwent dramatic changes that influenced physical, chemical, geological, and biological processes on a global scale. Such changes left an imprint in Earth's atmosphere, as shown by the variability in abundances of trace gases like carbon dioxide and methane. In return, changes in the atmospheric trace gas composition affected Earth's climate. Studying compositional variations of the past atmosphere helps us understand the history of interactions between global biogeochemical cycles and Earth?s climate. The most reliable information on past atmospheric composition comes from analysis of air entrapped in polar ice cores. This project aims to generate ice-core records of relatively short-lived, very-low-abundance trace gases to determine the range of past variability in their atmospheric levels and investigate the changes in global biogeochemical cycles that caused this variability. This project measures three such gases: carbonyl sulfide, methyl chloride, and methyl bromide. Changes in carbonyl sulfide can indicate changes in primary productivity and photosynthetic update of carbon dioxide. Changes in methyl chloride and methyl bromide significantly impact natural variability in stratospheric ozone. In addition, the processes that control atmospheric levels of methyl chloride and methyl bromide are shared with those controlling levels of atmospheric methane. The measurements will be made in the new ice core from the South Pole, which is expected to provide a 40,000-year record. The primary focus of this project is to develop high-quality trace gas records for the entire Holocene period (the past 11,000 years), with additional, more exploratory measurements from the last glacial period including the period from 29,000-36,000 years ago when there were large changes in atmospheric methane. Due to the cold temperatures of the South Pole ice, the proposed carbonyl sulfide measurements are expected to provide a direct measure of the past atmospheric variability of this gas without the large hydrolysis corrections that are necessary for interpretation of measurements from ice cores in warmer settings. Furthermore, we will test the expectation that contemporaneous measurements from the last glacial period in the deep West Antarctic Ice Sheet Divide ice core will not require hydrolysis loss corrections. With respect to methyl chloride, we aim to verify and improve the existing Holocene atmospheric history from the Taylor Dome ice core in Antarctica. The higher resolution of our measurements compared with those from Taylor Dome will allow us to derive a more statistically significant relationship between methyl chloride and methane. With respect to methyl bromide, we plan to extend the existing 2,000-year database to 11,000 years. Together, the methyl bromide and methyl chloride records will provide strong measurement-based constraints on the natural variability of stratospheric halogens during the Holocene period. In addition, the methyl bromide record will provide insight into the correlation between methyl chloride and methane during the Holocene period due to common sources and sinks. proprietary
USAP-1443637_1 Analysis of Voltage-gated Ion Channels in Antarctic Fish AMD_USAPDC STAC Catalog 2015-04-01 2018-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2762346637-AMD_USAPDC.umm_json We studied the molecular evolution and physiology of two types of ion channels: voltage gated potassium channels and transient receptor potential (TRP) channels. We also studied the molecular evolution and expression of water-passing channels, the aquaporins, to determine if these show signs of evolutionary change in notothenioids. We noted apparent amino acid substitutions at a number of sites in a muscle-expressing potassium channel (Kv1.3). We were surprised to find that although the AAs at these sites appeared highly conserved in teleosts and even in tetrapods, reverting them singly, in pairs, or all together back to the ancestral condition had no effect on the biophysical properties of the channels that we measured (voltage-sensitivity; rate of activation) at room temperature as well as over a range of temperatures down to 4oC. The results for the TRP channels and aquaporins can be accessed in their publications. York and Zakon (2022) in Genome Biology and Evolution, and two forthcoming papers. proprietary
USAP-1444167_1 Antarctic Notothenioid Fishes: Sentinel Taxa for Southern Ocean Warming AMD_USAPDC STAC Catalog 2015-07-01 2020-06-30 -70, -76, -55, -58 https://cmr.earthdata.nasa.gov/search/concepts/C2532072217-AMD_USAPDC.umm_json "Antarctic fish and their early developmental stages are an important component of the food web that sustains life in the cold Southern Ocean (SO) that surrounds Antarctica. They feed on smaller organisms and in turn are eaten by larger animals, including seals and killer whales. Little is known about how rising ocean temperatures will impact the development of Antarctic fish embryos and their growth after hatching. This project will address this gap by assessing the effects of elevated temperatures on embryo viability, on the rate of embryo development, and on the gene ""toolkits"" that respond to temperature stress. One of the two species to be studied does not produce red blood cells, a defect that may make its embryos particularly vulnerable to heat. The outcomes of this research will provide the public and policymakers with ""real world"" data that are necessary to inform decisions and design strategies to cope with changes in the Earth's climate, particularly with respect to protecting life in the SO. The project will also further the NSF goals of training new generations of scientists, including providing scientific training for undergraduate and graduate students, and of making scientific discoveries available to the general public. This includes the unique educational opportunity for undergraduates to participate in research in Antarctica and engaging the public in several ways, including the development of professionally-produced educational videos with bi-lingual closed captioning. Since the onset of cooling of the SO about 40 million years ago, evolution of Antarctic marine organisms has been driven by the development of cold temperatures. Because body temperatures of Antarctic fishes fall in a narrow range determined by their habitat (-1.9 to +2.0 C), they are particularly attractive models for understanding how organismal physiology and biochemistry have been shaped to maintain life in a cooling environment. Yet these fishes are now threatened by rapid warming of the SO. The long-term objective of this project is to understand the capacities of Antarctic fishes to acclimatize and/or adapt to oceanic warming through analysis of their underlying genetic ""toolkits."" This objective will be accomplished through three Specific Aims: 1) assessing the effects of elevated temperatures on gene expression during development of embryos; 2) examining the effects of elevated temperatures on embryonic morphology and on the temporal and spatial patterns of gene expression; and 3) evaluating the evolutionary mechanisms that have led to the loss of the red blood cell genetic program by the white-blooded fishes. Aims 1 and 2 will be investigated by acclimating experimental embryos of both red-blooded and white-blooded fish to elevated temperatures. Differential gene expression will be examined through the use of high throughput RNA sequencing. The temporal and spatial patterns of gene expression in the context of embryonic morphology (Aim 2) will be determined by microscopic analysis of embryos ""stained"" with (hybridized to) differentially expressed gene probes revealed by Aim 1; other key developmental marker genes will also be used. The genetic lesions resulting from loss of red blood cells by the white-blooded fishes (Aim 3) will be examined by comparing genes and genomes in the two fish groups." proprietary
+USAP-1542778_Not provided Climate History and Flow Processes from Physical Analyses of the SPICECORE South Pole Ice Core AMD_USAPDC STAC Catalog 2016-06-01 2019-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2532071857-AMD_USAPDC.umm_json This award supports a three-year effort to study physical properties of the South Pole ice core to help provide a high-time-resolution history of trace gases and other paleoclimatic indicators from an especially cold site with high preservation potential for important signals. The physical-properties studies include visual inspection to identify any flow disturbances and for identifying annual layers and other features, and combined bubble, grain and ice crystal orientation studies to better understand the processes occurring in the ice that affect the climate record and the ice-sheet behavior. Success of these efforts will provide necessary support for dating and quality control to others studying the ice core, as well as determining the climate history of the site, flow state, and key physical processes in ice. The intellectual merits of the project include better understanding of physical processes, paleoclimatic reconstruction, dating of the ice, and quality assurance. Visual inspection of the core will help identify evidence of flow disturbances that would disrupt the integrity of the climate record and will reveal volcanic horizons and other features of interest. Annual layer counting will be conducted to help estimate accumulation rate over time as recorded in the ice core. Measurements of C-axis fabric, grain size and shapes, and bubble characteristics will provide information about processes occurring in the ice sheet as well as the history of ice flow, current flow state and how the ice is flowing and how easily it will flow in the future. Analysis of this data in conjunction with microCT data will help to reveal grain-scale processes. The broader impacts of the project include support for an early-career, post-doctoral researcher, and improved paleoclimatic data of societal relevance. The results will be incorporated into the active program of education and outreach which have educated many students, members of the public and policy makers through the sharing of information and educational materials about all aspects of ice core science and paleoclimate. proprietary
USAP-1543383_1 Antarctic Fish and MicroRNA Control of Development and Physiology AMD_USAPDC STAC Catalog 2016-09-01 2019-08-31 -66, -66, -58, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532072220-AMD_USAPDC.umm_json microRNAs (miRNAs) are key post-transcriptional regulators of gene expression that modulate development and physiology in temperate animals. Although miRNAs act by binding to messenger RNAs (mRNAs), a process that is strongly sensitive to temperature, miRNAs have yet not been studied in Antarctic animals, including Notothenioid fish, which dominate the Southern Ocean. This project will compare miRNA regulation in 1) Antarctic vs. temperate fish to learn the roles of miRNA regulation in adaptation to constant cold; and in 2) bottom-dwelling, dense-boned, red-blooded Nototheniods vs. high buoyancy, osteopenic, white-blooded icefish to understand miRNA regulation in specialized organs after the evolution of the loss of hemoglobin genes and red blood cells, the origin of enlarged heart and vasculature, and the evolution of increased buoyancy, which arose by decreased bone mineralization and increased lipid deposition. Aim 1 is to test the hypothesis that Antarctic fish evolved miRNA-related genome specializations in response to constant cold. The project will compare four Antarctic Notothenioid species to two temperate Notothenioids and two temperate laboratory species to test the hypotheses that (a) Antarctic fish evolved miRNA genome repertoires by loss of ancestral genes and/or gain of new genes, (b) express miRNAs that are involved in cold tolerance, and (c) respond to temperature change by changing miRNA gene expression. Aim 2 is to test the hypothesis that the evolution of icefish from red-blooded bottom-dwelling ancestors was accompanied by an altered miRNA genomic repertoire, sequence, and/or expression. The project will test the hypotheses that (a) miRNAs in icefish evolved in sequence and/or in expression in icefish specializations, including head kidney (origin of red blood cells); heart (changes in vascular system), cranium and pectoral girdle (reduced bone mineral density); and skeletal muscle (lipid deposition), and (b) miRNAs that evolved in icefish specializations had ancestral functions related to their derived roles in icefish, as determined by functional tests of zebrafish orthologs of icefish miRNAs in developing zebrafish. The program will isolate, sequence, and determine the expression of miRNAs and mRNAs using high-throughput transcriptomics and novel software. Results will show how the microRNA system evolves in vertebrate animals pushed to physiological extremes and provide insights into the prospects of key species in the most rapidly warming part of the globe. proprietary
USAP-1543498_1 A Full Lifecycle Approach to Understanding Adélie Penguin Response to Changing Pack Ice Conditions in the Ross Sea AMD_USAPDC STAC Catalog 2016-06-01 165, -78, -150, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532074621-AMD_USAPDC.umm_json "The Ross Sea region of the Southern Ocean is experiencing growing sea ice cover in both extent and duration. These trends contrast those of the well-studied, western Antarctic Peninsula area, where sea ice has been disappearing. Unlike the latter, little is known about how expanding sea ice coverage might affect the regional Antarctic marine ecosystem. This project aims to better understand some of the potential effects of the changing ice conditions on the marine ecosystem using the widely-recognized indicator species - the Adélie Penguin. A four-year effort will build on previous results spanning 19 seasons at Ross Island to explore how successes or failures in each part of the penguin's annual cycle are effected by ice conditions and how these carry over to the next annual recruitment cycle, especially with respect to the penguin's condition upon arrival in the spring. Education and public outreach activities will continually be promoted through the PenguinCam and PenguinScience websites (sites with greater than 1 million hits a month) and ""NestCheck"" (a site that is logged-on by >300 classrooms annually that allows students to follow penguin families in their breeding efforts). To encourage students in pursuing educational and career pathways in the Science Technology Engineering and Math fields, the project will also provide stories from the field in a Penguin Journal, develop classroom-ready activities aligned with New Generation Science Standards, increase the availability of instructional presentations as powerpoint files and short webisodes. The project will provide additional outreach activities through local, state and national speaking engagements about penguins, Antarctic science and climate change. The annual outreach efforts are aimed at reaching over 15,000 students through the website, 300 teachers through presentations and workshops, and 500 persons in the general public. The project also will train four interns (undergraduate and graduate level), two post-doctoral researchers, and a science writer/photographer.
The project will accomplish three major goals, all of which relate to how Adélie Penguins adapt to, or cope with environmental change. Specifically the project seeks to determine 1) how changing winter sea ice conditions in the Ross Sea region affect penguin migration, behavior and survival and alter the carry-over effects (COEs) to subsequent reproduction; 2) the interplay between extrinsic and intrinsic factors influencing COEs over multiple years of an individual's lifetime; and 3) how local environmental change may affect population change via impacts to nesting habitat, interacting with individual quality and COEs. Retrospective analyses will be conducted using 19 years of colony based data and collect additional information on individually marked, known-age and known-history penguins, from new recruits to possibly senescent individuals. Four years of new information will be gained from efforts based at two colonies (Cape Royds and Crozier), using radio frequency identification tags to automatically collect data on breeding and foraging effort of marked, known-history birds to explore penguin response to resource availability within the colony as well as between colonies (mates, nesting material, habitat availability). Additional geolocation/time-depth recorders will be used to investigate travels and foraging during winter of these birds. The combined efforts will allow an assessment of the effects of penguin behavior/success in one season on its behavior in the next (e.g. how does winter behavior affect arrival time and body condition on subsequent breeding). It is at the individual level that penguins are responding successfully, or not, to ongoing marine habitat change in the Ross Sea region." proprietary
USAP-1544526_1 Activity, Preservation and Fossilization of Cryptoendolithic Microorganisms in Antarctica AMD_USAPDC STAC Catalog 2016-09-01 2017-08-31 160, -77.8, 163.7, -76.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532069950-AMD_USAPDC.umm_json Cryptoendoliths are organisms that colonize microscopic cavities of rocks, which give them protection and allow them to inhabit extreme environments, such as the cold, arid desert of the Dry Valleys of Antarctica. Fossilized cryptoendoliths preserve the forms and features of organisms from the past and thus provide a unique opportunity to study the organisms' life histories and environments. To study this fossil record, there needs to be a better understanding of what environmental conditions allow these fossils to form. A climate gradient currently exists in the Dry Valleys that allows us to study living, dead, and fossilized cryptoendoliths from mild to increasingly harsh environments; providing insight to the limits of life and how these fossils are formed. This project will develop instruments to detect the biological activity of the live microorganisms and conduct laboratory experiments to determine the environmental limits of their survival. The project also will characterize the chemical and structural features of the living, dead, and fossilized cryptoendoliths to understand how they become fossilized. Knowing how microorganisms are preserved as fossils in cold and dry environments like Antarctica can help to refine methods that can be used to search for and identify evidence for extraterrestrial life in similar habitats on planets such as Mars. This project includes training of graduate and undergraduate students. Little is known about cryptoendolithic microfossils and their formation processes in cold, arid terrestrial habitats of the Dry Valleys of Antarctica, where a legacy of activity is discernible in the form of biosignatures including inorganic materials and microbial fossils that preserve and indicate traces of past biological activity. The overarching goals of the proposed work are: (1) to determine how rates of microbial respiration and biodegradation of organic matter control microbial fossilization; and (2) to characterize microbial fossils and their living counterparts to elucidate mechanisms for fossilization. Using samples collected across an increasingly harsher (more cold and dry) climatic gradient that encompasses living, dead, and fossilized cryptoendolithic microorganisms, the proposed work will: (1) develop an instrument to be used in the field that can measure small concentrations of CO2 in cryptoendolithic habitats in situ; (2) use microscopy techniques to characterize endolithic microorganisms as well as the chemical and morphological characteristics of biosignatures and microbial fossils. A metagenomic survey of microbial communities in these samples will be used to characterize differences in diversity, identify if specific microorganisms (e.g. prokaryotes, eukaryotes) are more capable of surviving under these harsh climatic conditions, and to corroborate microscopic observations of the viability states of these microorganisms. proprietary
+USAP-1643534_1 Biological and Physical Drivers of Oxygen Saturation and Net Community Production Variability along the Western Antarctic Peninsula AMD_USAPDC STAC Catalog 2016-06-15 2023-07-15 -83, -73, -56, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532075509-AMD_USAPDC.umm_json "This project seeks to make detailed measurements of the oxygen content of the surface ocean along the Western Antarctic Peninsula. Detailed maps of changes in net oxygen content will be combined with measurements of the surface water chemistry and phytoplankton distributions. The project will determine the extent to which on-shore or offshore phytoplankton blooms along the peninsula are likely to lead to different amounts of carbon being exported to the deeper ocean. The project will analyze oxygen in relation to argon that will allow determination of the physical and biological contributions to surface ocean oxygen dynamics. These assessments will be combined with spatial and temporal distributions of nutrients (iron and macronutrients) and irradiances. This will allow the investigators to unravel the complex interplay between ice dynamics, iron and physical mixing dynamics as they relate to Net Community Production (NCP) in the region. NCP measurements will be normalized to Particulate Organic Carbon (POC) and be used to help identify area of ""High Biomass and Low NCP"" and those with ""Low Biomass and High NCP"" as a function of microbial plankton community composition. The team will use machine learning methods- including decision tree assemblages and genetic programming- to identify plankton groups key to facilitating biological carbon fluxes. Decomposing the oxygen signal along the West Antarctic Peninsula will also help elucidate biotic and abiotic drivers of the O2 saturation to further contextualize the growing inventory of oxygen measurements (e.g. by Argo floats) throughout the global oceans." proprietary
USAP-1643722_1 A High Resolution Atmospheric Methane Record from the South Pole Ice Core AMD_USAPDC STAC Catalog 2017-02-01 2019-01-31 180, -90, 180, -90 https://cmr.earthdata.nasa.gov/search/concepts/C2534799946-AMD_USAPDC.umm_json This award supports a project to measure the concentration of the gas methane in air trapped in an ice core collected from the South Pole. The data will provide an age scale (age as a function of depth) by matching the South Pole methane changes with similar data from other ice cores for which the age vs. depth relationship is well known. The ages provided will allow all other gas measurements made on the South Pole core (by the PI and other NSF supported investigators) to be interpreted accurately as a function of time. This is critical because a major goal of the South Pole coring project is to understand the history of rare gases in the atmosphere like carbon monoxide, carbon dioxide, ethane, propane, methyl chloride, and methyl bromide. Relatively little is known about what controls these gases in the atmosphere despite their importance to atmospheric chemistry and climate. Undergraduate assistants will work on the project and be introduced to independent research through their work. The PI will continue visits to local middle schools to introduce students to polar science, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) as part of the project. Methane concentrations from a major portion (2 depth intervals, excluding the brittle ice-zone which is being measured at Penn State University) of the new South Pole ice core will be used to create a gas chronology by matching the new South Pole ice core record with that from the well-dated WAIS Divide ice core record. In combination with measurements made at Penn State, this will provide gas dating for the entire 50,000-year record. Correlation will be made using a simple but powerful mid-point method that has been previously demonstrated, and other methods of matching records will be explored. The intellectual merit of this work is that the gas chronology will be a fundamental component of this ice core project, and will be used by the PI and other investigators for dating records of atmospheric composition, and determining the gas age-ice age difference independently of glaciological models, which will constrain processes that affected firn densification in the past. The methane data will also provide direct stratigraphic markers of important perturbations to global biogeochemical cycles (e.g., rapid methane variations synchronous with abrupt warming and cooling in the Northern Hemisphere) that will tie other ice core gas records directly to those perturbations. A record of the total air content will also be produced as a by-product of the methane measurements and will contribute to understanding of this parameter. The broader impacts include that the work will provide a fundamental data set for the South Pole ice core project and the age scale (or variants of it) will be used by all other investigators working on gas records from the core. The project will employ an undergraduate assistant(s) in both years who will conduct an undergraduate research project which will be part of the student's senior thesis or other research paper. The project will also offer at least one research position for the Oregon State University Summer REU site program. Visits to local middle schools, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) will also be part of the project. proprietary
+USAP-1643864_1 Collaborative Research: Borehole Logging to Classify Volcanic Signatures in Antarctic Ice AMD_USAPDC STAC Catalog 2017-05-08 -112.085, -79.467, -112.085, -79.467 https://cmr.earthdata.nasa.gov/search/concepts/C2532074603-AMD_USAPDC.umm_json This dataset comprises new photographs and measurements of a WAIS Divide vertical thin section, WDC-06A 420 VTS, previously prepared and measured by J. Fitzpatrick, D. E. Voigt, and R. Alley (dataset DOI: 10.7265/N5W093VM; http://www.usap-dc.org/view/dataset/609605) as part of a larger study of the WAIS Divide ice core (Fitzpatrick, J. et al, 2014, Physical properties of the WAIS Divide ice core, Journal of Glaciology, 60, 224, 1181-1198. (doi:10.3189/2014JoG14J100). These images were taken as a design test of our new automated lightweight c-axis analyzer, dubbed ALPACA, which implements the ice fabric analysis functionality of the Wilen system used by Fitzpatrick et al. in an easily-portable, field-deployable form factor. proprietary
+USAP-1644004_1 Collaborative Research: Foraging Ecology and Physiology of the Leopard Seal AMD_USAPDC STAC Catalog 2017-10-01 2022-09-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2560369942-AMD_USAPDC.umm_json This research project is a multidisciplinary effort that brings together a diverse team of scientists from multiple institutions together to understand the foraging behavior and physiology of leopard seals and their role in the Southern Ocean food web. The project will examine the physiology and behavior of leopard seals to in an effort to determine their ability to respond to potential changes in their habitat and foraging areas. Using satellite tracking devices the team will examine the movement and diving behavior of leopard seals and couple this information with measurements of their physiological capacity. The project will determine whether leopard seals- who feed on diverse range of prey- are built differently than their deep diving relatives the Weddell and elephant seal who feed on fish and squid. The team will also determine whether leopard seals are operating at or near their physiological capability to determine how much, if any, ?reserve capacity? they might have to forage and live in changing environments. A better understanding of their home ranges, movement patterns, and general behavior will also be informative to help in managing human-leopard seal interactions. The highly visual nature of the data and analysis for this project lends itself to public and educational display and outreach, particularly as they relate to the changing Antarctic habitats. The project will use the research results to educate the public on the unique physiological and ecological adaptations to extreme environments seen in diving marine mammals, including adaptations to exercise under low oxygen conditions and energy utilization, which affect and dictate the lifestyle of these exceptional organisms. The results of the project will also contribute to the broader understanding that may enhance the aims of managing marine living resources. The leopard seal is an apex predator in the Antarctic ecosystem. This project seeks to better understand the ability of the leopard seal to cope with a changing environment. The project will first examine the foraging behavior and habitat utilization of leopard seals using satellite telemetry. Specifically, satellite telemetry tags will be used to obtain dive profiles and movement data for individuals across multiple years. Diet and trophic level positions across multiple temporal scales will then be determined from physiological samples (e.g., blood, vibrissae, blubber fatty acids, stable isotopes, fecal matter). Oceanographic data will be integrated with these measures to develop habitat models that will be used to assess habitat type, habitat utilization, habitat preference, and home range areas for individual animals. Diet composition for individual seals will be evaluated to determine whether specific animals are generalists or specialists. Second, the team will investigate the physiological adaptations that allow leopard seals to be apex predators and determine to what extent leopard seals are working at or near their physiological limit. Diving behavior and physiology of leopard seals will be evaluated (for instance the aerobic dive limit for individual animals and skeletal muscle adaptations will be determined for diving under hypoxic conditions). Data from time-depth recorders will be used to determine foraging strategies for individual seals, and these diving characteristics will be related to physiological variables (e.g., blood volume, muscle oxygen stores) to better understand the link between foraging behavior and physiology. The team will compare myoglobin storage in swimming muscles associated with both forelimb and hind limb propulsion and the use of anaerobic versus aerobic metabolic systems while foraging. proprietary
+USAP-1644073_1 Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay AMD_USAPDC STAC Catalog 2017-08-18 2020-08-31 -116, -79, 160, -72 https://cmr.earthdata.nasa.gov/search/concepts/C2532074465-AMD_USAPDC.umm_json Phytoplankton blooms in the coastal waters of the Ross Sea, Antarctica are typically dominated by either diatoms or Phaeocystis Antarctica (a flagellated algae that often can form large colonies in a gelatinous matrix). The project seeks to determine if an association of bacterial populations with Phaeocystis antarctica colonies can directly supply Phaeocystis with Vitamin B12, which can be an important co-limiting micronutrient in the Ross Sea. The supply of an essential vitamin coupled with the ability to grow at lower iron concentrations may put Phaeocystis at a competitive advantage over diatoms. Because Phaeocystis cells can fix more carbon than diatoms and Phaeocystis are not grazed as efficiently as diatoms, the project will help in refining understanding of carbon dynamics in the region as well as the basis of the food web webs. Such understanding also has the potential to help refine predictive ecological models for the region. The project will conduct public outreach activities and will contribute to undergraduate and graduate research. Engagement of underrepresented students will occur during summer student internships. A collaboration with Italian Antarctic researchers, who have been studying the Terra Nova Bay ecosystem since the 1980s, aims to enhance the project and promote international scientific collaborations. The study will test whether a mutualistic symbioses between attached bacteria and Phaeocystis provides colonial cells a mechanism for alleviating chronic Vitamin B12 co-limitation effects thereby conferring them with a competitive advantage over diatom communities. The use of drifters in a time series study will provide the opportunity to track in both space and time a developing algal bloom in Terra Nova Bay and to determine community structure and the physiological nutrient status of microbial populations. A combination of flow cytometry, proteomics, metatranscriptomics, radioisotopic and stable isotopic labeling experiments will determine carbon and nutrient uptake rates and the role of bacteria in mitigating potential vitamin B12 and iron limitation. Membrane inlet and proton transfer reaction mass spectrometry will also be used to estimate net community production and release of volatile organic carbon compounds that are climatically active. Understanding how environmental parameters can influence microbial community dynamics in Antarctic coastal waters will advance an understanding of how changes in ocean stratification and chemistry could impact the biogeochemistry and food web dynamics of Southern Ocean ecosystems. proprietary
+USAP-1644197_1 Collaborative Research: New Constraints on Post-Glacial Rebound and Holocene Environmental History along the Northern Antarctic Peninsula from Raised Beaches AMD_USAPDC STAC Catalog 2017-08-08 2021-08-31 -65, -65, -55, -61 https://cmr.earthdata.nasa.gov/search/concepts/C2605088269-AMD_USAPDC.umm_json Glacier ice loss from Antarctica has the potential to lead to a significant rise in global sea level. One line of evidence for accelerated glacier ice loss has been an increase in the rate at which the land has been rising across the Antarctic Peninsula as measured by GPS receivers. However, GPS observations of uplift are limited to the last two decades. One goal of this study is to determine how these newly observed rates of uplift compare to average rates of uplift across the Antarctic Peninsula over a longer time interval. Researchers reconstructed past sea levels using the age and elevation of ancient beaches now stranded above sea level on the low-lying coastal hills of the Antarctica Peninsula and determined the rate of uplift over the last 5,000 years. The researchers analyzed the structure of the beaches using ground-penetrating radar and the characteristics of beach sediments to understand how sea-level rise and past climate changes are recorded in beach deposits. We found that unlike most views of how sea level changed across Antarctica over the last 5,000 years, its history is complex with periods of increasing rates of sea-level fall as well as short periods of potential sea-level rise. We attribute these oscillations in the nature of sea-level change across the Antarctic Peninsula to changes in the ice sheet over the last 5,000 years. These changes in sea level also suggest our understanding of the Earth structure beneath the Antarctic Peninsula need to be revised. The beach deposits themselves also record periods of climate change as reflected in the size and shape of their cobbles. This project has lead to the training of five graduate students, three undergraduate students, and outreach talks to k-12 schools in three communities. proprietary
USAP-1644234_1 A Test of Global and Antarctic Models for Cosmogenic-nuclide Production Rates using High-precision Dating of 40Ar/39Ar Lava Flows from Mount Erebus AMD_USAPDC STAC Catalog 2017-07-15 2022-06-30 166.17, -77.7, 167.75, -77.3 https://cmr.earthdata.nasa.gov/search/concepts/C2586847142-AMD_USAPDC.umm_json Nontechnical Description: The age of rocks and soils at the surface of the Earth can help answer multiple questions that are important for human welfare, including: when did volcanoes erupt and are they likely to erupt again? when did glaciers advance and what do they tell us about climate? what is the frequency of hazards such as landslides, floods, and debris flows? how long does it take soils to form and is erosion of soils going to make farming unsustainable? One method that is used thousands of times every year to address these questions is called 'cosmogenic surface-exposure dating'. This method takes advantage of cosmic rays, which are powerful protons and neutrons produced by supernova that constantly bombard the Earth's atmosphere. Some cosmic rays reach Earth's surface and produce nuclear reactions that result in rare isotopes. Measuring the quantity of the rare isotopes enables the length of time that the rock or soil has been exposed to the atmosphere to be calculated. The distribution of cosmic rays around the globe depends on Earth's magnetic field, and this distribution must be accurately known if useful exposure ages are to be obtained. Currently there are two remaining theories, narrowed down from many, of how to calculate this distribution. Measurements from a site that is at both high altitude and high latitude (close to the poles) are needed to test the two theories. This study involves both field and lab research and includes a Ph.D. student and an undergraduate student. The research team will collect rocks from lava flows on an active volcano in Antarctica named Mount Erebus and measure the amounts of two rare isotopes: 36Cl and 3He. The age of eruption of the samples will be determined using a highly accurate method that does not depend on cosmic rays, called 40Ar/39Ar dating. The two cosmic-ray theories will be used to calculate the ages of the samples using the 36Cl and 3He concentrations and will then be compared to the ages calculated from the 40Ar/39Ar dating. The accurate cosmic-ray theory will be the one that gives the same ages as the 40Ar/39Ar dating. Identification of the accurate theory will enable use of the cosmogenic surface dating methods anywhere on earth. Technical Description: Nuclides produced by cosmic rays in rocks at the surface of the earth are widely used for Quaternary geochronology and geomorphic studies and their use is increasing every year. The recently completed CRONUS-Earth Project (Cosmic-Ray Produced Nuclides on Earth) has systematically evaluated the production rates and theoretical underpinnings of cosmogenic nuclides. However, the CRONUS-Earth Project was not able to discriminate between the two leading theoretical approaches: the original Lal model (St) and the new Lifton-Sato-Dunai model (LSD). Mathematical models used to scale the production of the nuclides as a function of location on the earth, elevation, and magnetic field configuration are an essential component of this dating method. The inability to distinguish between the two models was because the predicted production rates did not differ sufficiently at the location of the calibration sites. The cosmogenic-nuclide production rates that are predicted by the two models differ significantly from each other at Erebus volcano, Antarctica. Mount Erebus is therefore an excellent site for testing which production model best describes actual cosmogenic-nuclide production variations over the globe. The research team recently measured 3He and 36Cl in mineral separates extracted from Erebus lava flows. The exposure ages for each nuclide were reproducible within each flow (~2% standard deviation) and in very good agreement between the 3He and the 36Cl ages. However, the ages calculated by the St and LSD scaling methods differ by ~15-25% due to the sensitivity of the production rate to the scaling at this latitude and elevation. These results lend confidence that Erebus qualifies as a suitable high- latitude/high-elevation calibration site. The remaining component that is still lacking is accurate and reliable independent (i.e., non-cosmogenic) ages, however, published 40Ar/39Ar ages are too imprecise and typically biased to older ages due to excess argon contained in melt inclusions. The research team's new 40Ar/39Ar data show that previous problems with Erebus anorthoclase geochronology are now overcome with modern mass spectrometry and better sample preparation. This indicates a high likelihood of success for this proposal in defining an accurate global scaling model. Although encouraging, much remains to be accomplished. This project will sample lava flows over 3 km in elevation and determine their 40Ar/39Ar and exposure ages. These combined data will discriminate between the two scaling methods, resulting in a preferred scaling model for global cosmogenic geochronology. The LSD method contains two sub-methods, the 'plain' LSD scales all nuclides the same, whereas LSDn scales each nuclide individually. The project can discriminate between these models using 3He and 36Cl data from lava flows at different elevations, because the first model predicts that the production ratio for these two nuclides will be invariant with elevation and the second that there should be ~10% difference over the range of elevations to be sampled. Finally, the project will provide a local, finite-age calibration site for cosmogenic-nuclide investigations in Antarctica. proprietary
USAP-1656344_1 A Preliminary Assessment of the Influence of Ice Cover on Microbial Carbon and Energy Acquisition during the Antarctic Winter-spring Seasonal Transition AMD_USAPDC STAC Catalog 2016-08-01 2018-07-31 -64.1, -65, -63.9, -64.75 https://cmr.earthdata.nasa.gov/search/concepts/C2532071951-AMD_USAPDC.umm_json "This EAGER project will compare gene expression patterns in the planktonic communities under ice covers that form in coastal embayment's in the Antarctic Peninsula. Previous efforts taking advantage of unique ice conditions in November and December of 2015 allowed researchers to conduct an experiment to examine the role of sea ice cover on microbial carbon and energy transfer during the winter-spring transition. The EAGER effort will enable the researchers to conduct the ""omics"" analyses of the phytoplankton to determine predominant means by which energy is acquired and used in these settings. This EAGER effort will apply new expertise to fill an existing gap in ecological observations along the West Antarctic Peninsula. The principle product of the proposed work will be a novel dataset to be analyzed and by an early career researcher from an underserved community (veteran). The critical baseline data contained in this dataset enable a comparison of eukaryotic and prokaryotic gene expression patterns to establish the relative importance of chemoautotrophy, heterotrophy, mixotrophy, and phototrophy during the experiments. this information and data will be made immediately available to the broader scientific community, and will enable the development of further hypotheses on ecosystem change as sea ice cover changes in the region. Very little gene expression data is currently available for the Antarctic marine environment, and no gene expression data is available during the ecologically critical winter to spring transition. Moreover, ice cover in bays is common along the West Antarctic Peninsula yet the opportunity to study cryptophyte phytoplankton physiology beneath such ice conditions in coastal embayments is rare." proprietary
USAP-1744755_1 A mechanistic study of bio-physical interaction and air-sea carbon transfer in the Southern Ocean AMD_USAPDC STAC Catalog 2018-05-01 2022-04-30 -80, -70, -30, -45 https://cmr.earthdata.nasa.gov/search/concepts/C2545372297-AMD_USAPDC.umm_json Current generation of coupled climate models, that are used to make climate projections, lack the resolution to adequately resolve ocean mesoscale (10 - 100km) processes, exhibiting significant biases in the ocean carbon uptake. Mesoscale processes include many features including jets, fronts and eddies that are crucial for bio-physical interactions, air-sea CO2 exchange and the supply of iron to the surface ocean. This modeling project will support the eddy resolving regional simulations to understand the mechanisms that drives bio-physical interaction and air-sea exchange of carbon dioxide. proprietary
+USAP-1744828_1 Collaborative Proposal: A High-Latitude Conjugate Area Array Experiment to Investigate Solar Wind - Magnetosphere - Ionosphere Coupling AMD_USAPDC STAC Catalog 2018-08-15 2022-07-31 6, -85, 89, -69 https://cmr.earthdata.nasa.gov/search/concepts/C2532075157-AMD_USAPDC.umm_json This proposal is directed toward an investigation of the coupling phenomena between the solar wind and the Earth's magnetosphere and ionosphere, particularly on the day side of the Earth and observed simultaneously at high latitudes in both northern and southern hemispheres. Through past NSF support, several magnetometers have been deployed in Antarctica, Greenland, and Svalbard, while new collaborations have been developed with the Polar Research Institute of China (PRIC) to further increase coverage through data sharing. This project will expand the existing Virginia Tech-PRIC partnership to include New Jersey Institute of Technology, University of New Hampshire, and the Technical University of Denmark and (1) construct two new stations to be deployed by PRIC along a chain from Zhongshan station to Dome A to complete a conjugate area array, (2) integrate data from all stations into a common format, and (3) address two focused science questions. Both instrument deployment and data processing efforts are motivated by a large number of solar wind-magnetosphere-ionosphere (SWMI) coupling science questions; this project will address two questions pertaining to Ultra Low Frequency (ULF) waves: (1) What is the global ULF response to Hot Flow Anomalies (HFA) and how is it affected by asymmetries in the SWMI system? (2) How do dawn-dusk and north-south asymmetries in the coupled SWMI system affect global ULF wave properties during periods with large, steady east-west Interplanetary Magnetic field (IMF By)? This proposal requires fieldwork in the Antarctic, but all fieldwork will be conducted by PRIC. proprietary
USAP-1744989_1 A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins AMD_USAPDC STAC Catalog 2018-07-15 2022-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2705787178-AMD_USAPDC.umm_json This project on emperor penguin populations will quantify penguin presence/absence, and colony size and trajectory, across the entire Antarctic continent using high-resolution satellite imagery. For a subset of the colonies, population estimates derived from high-resolution satellite images will be compared with those determined by aerial surveys - these results have been uploaded to MAPPPD (penguinmap.com) and are freely available for use. This validated information will be used to determine population estimates for all emperor penguin colonies through iterations of supervised classification and maximum likelihood calculations on the high-resolution imagery. The effect of spatial, geophysical, and environmental variables on population size and decadal-scale trends will be assessed using generalized linear models. This research will result in a first ever empirical result for emperor penguin population trends and habitat suitability, and will leverage currently-funded NSF infrastructure and hosting sites to publish results in near-real time to the public. proprietary
USAP-1745116_1 Antarctic Firn Aquifers: Extent, Characteristics, and Comparison with Greenland Occurrences AMD_USAPDC STAC Catalog 2018-08-10 -75, -74, -65, -69 https://cmr.earthdata.nasa.gov/search/concepts/C2534800025-AMD_USAPDC.umm_json Snow or firn aquifers are areas of subsurface meltwater storage that form in glaciated regions experiencing intense summer surface melting and high snowfall. Aquifers can induce hydrofracturing, and thereby accelerate flow or trigger ice-shelf instability leading to increased ice-sheet mass loss. Widespread aquifers have recently been discovered in Greenland. These have been modelled and mapped using new satellite and airborne remote-sensing techniques. In Antarctica, a series of catastrophic break-ups at the Wilkins Ice Shelf on the Antarctic Peninsula that was previously attributed to effects of surface melting and brine infiltration is now recognized as being consistent with a firn aquifer--possibly stimulated by long-period ocean swell--that enhanced ice-shelf hydrofracture. This project will verify inferences (from the same mapping approach used in Greenland) that such aquifers are indeed present in Antarctica. The team will survey two high-probability sites: the Wilkins Ice Shelf, and the southern George VI Ice Shelf.
This two-year study will characterize the firn at the two field sites, drill shallow (~60 m maximum) ice cores, examine snow pits (~2 m), and install two AMIGOS (Automated Met-Ice-Geophysics Observing System) stations that include weather, GPS, and firn temperature sensors that will collect and transmit measurements for at least a year before retrieval. Ground-penetrating radar survey in areas surrounding the field sites will track aquifer extent and depth variations. Ice and microwave model studies will be combined with the field-observed properties to further explore the range of firn aquifers and related upper-snow-layer conditions. This study will provide valuable experience for three early-career scientists. An outreach effort through field blogging, social media posts, K-12 presentations, and public lectures is planned to engage the public in the team's Antarctic scientific exploration and discovery.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
+USAP-1745137_1 CAREER: Cross-Instrument Synthesis of Antarctic Radar Sounding Observations AMD_USAPDC STAC Catalog 2018-06-29 2023-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532074468-AMD_USAPDC.umm_json Earth's geologic record shows that the great ice sheets have contributed to rates of sea-level rise that have been much higher than those observed today. That said, some sectors of the current Antarctic ice sheet are losing mass at large and accelerating rates. One of the primary challenges for placing these recent and ongoing changes in the context of geologically historic rates, and for making projections decades to centuries into the future, is the difficulty of observing conditions and processes beneath the ice sheet. Whereas satellite observations allow tracking of the ice-surface velocity and elevation on the scale of glacier catchments to ice sheets, airborne ice-penetrating radar has been the only approach for assessing conditions on this scale beneath the ice. These radar observations have been made since the late 1960s, but, because many different instruments have been used, it is difficult to track change in subglacial conditions through time. This project will develop the technical tools and approaches required to cross-compare among these measurements and thus open up opportunities for tracking and understanding changes in the critical subglacial environment. Intertwined with the research and student training on this project will be an outreach education effort to provide middle school and high school students with improved resources and enhanced exposure to geophysical, glaciological, and remote-sensing topics through partnership with the National Science Olympiad. The radar sounding of ice sheets is a powerful tool for glaciological science with broad applicability across a wide range of cryosphere problems and processes. Radar sounding data have been collected with extensive spatial and temporal coverage across the West Antarctic Ice Sheet, including areas where multiple surveys provide observations that span decades in time or entire cross-catchment ice-sheet sectors. However, one major obstacle to realizing the scientific potential of existing radar sounding observations in Antarctica is the lack of analysis approaches specifically developed for cross-instrument interpretation. Radar is also spatially limited and often has gaps of many tens of kilometers between data points. Further work is needed to investigate ways of extrapolating radar information beyond the flight lines. This project aims to directly address these barriers to full utilization of the collective Antarctic radar sounding record by developing a suite of processing and interpretation techniques to enable the synthesis of radar sounding data sets collected with systems that range from incoherent to coherent, single-channel to swath-imaging, and digital to optically-recorded radar sounders. This includes a geostatistical analysis of ice sheet and radar datasets to make probabilistic predictions of conditions at the bed. The approaches will be assessed for two target regions: the Amundsen Sea Embayment and the Siple Coast. All pre- and post-processed sounding data produced by this project will be publically hosted for use by the wider research community. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
+USAP-1753101_1 "CAREER: ""The Omnivore's Dilemma"": The Effect of Autumn Diet on Winter Physiology and Condition of Juvenile Antarctic Krill" AMD_USAPDC STAC Catalog 2018-07-11 2023-08-31 -65, -65, -62, -64 https://cmr.earthdata.nasa.gov/search/concepts/C2743860806-AMD_USAPDC.umm_json Antarctic krill are essential in the Southern Ocean as they support vast numbers of marine mammals, seabirds and fishes, some of which feed almost exclusively on krill. Antarctic krill also constitute a target species for industrial fisheries in the Southern Ocean. The success of Antarctic krill populations is largely determined by the ability of their young to survive the long, dark winter, where food is extremely scarce. To survive the long-dark winter, young Antarctic krill must have a high-quality diet in autumn. However, warming in certain parts of Antarctica is changing the dynamics and quality of the polar food web, resulting in a shift in the type of food available to young krill in autumn. It is not yet clear how these dynamic changes are affecting the ability of krill to survive the winter. This project aims to fill an important gap in current knowledge on an understudied stage of the Antarctic krill life cycle, the 1-year old juveniles. The results derived from this work will contribute to the development of improved bioenergetic, population and ecosystem models, and will advance current scientific understanding of this critical Antarctic species. This CAREER projects core education and outreach objectives seek to enhance education and increase diversity within STEM fields. An undergraduate course will be developed that will integrate undergraduate research and writing in way that promotes authentic scientific inquiry and analysis of original research data by the students, and that enhances their communication skills. A graduate course will be developed that will promote students skills in communicating their own research to a non-scientific audience. Graduate students will be supported through the proposed study and will gain valuable research experience. Traditionally underserved undergraduate students will be recruited to conduct independent research under the umbrella of the larger project. Throughout each field season, the research team will maintain a weekly blog that will include short videos, photographs and text highlighting the research, as well as their experiences living and working in Antarctica. The aim of the blog will be to engage the public and increase awareness and understanding of Antarctic ecosystems and the impact of warming, and of the scientific process of research and discovery. In this 5-year CAREER project, the investigator will use a combination of empirical and theoretical techniques to assess the effects of diet on 1-year old krill in autumn-winter. The research is centered on four hypotheses: (H1) autumn diet affects 1-year old krill physiology and condition at the onset of winter; (H2) autumn diet has an effect on winter physiology and condition of 1-year old krill under variable winter food conditions; (H3) the rate of change in physiology and condition of 1-year old krill from autumn to winter is dependent on autumn diet; and (H4) the winter energy budget of 1-year old krill will vary between years and will be dependent on autumn diet. Long-term feeding experiments and in situ sampling will be used to measure changes in the physiology and condition of krill in relation to their diet and feeding environment. Empirically-derived data will be used to develop theoretical models of growth rates and energy budgets to determine how diet will influence the overwinter survival of 1-year old krill. The research will be integrated with an education and outreach plan to (1) develop engaging undergraduate and graduate courses, (2) train and develop young scientists for careers in polar research, and (3) engage the public and increase their awareness and understanding. This award reflects NSFs statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-1823135_1 Application of Year of Polar Prediction- Southern Hemisphere (YOPP-SH) Observations for Improvement of Antarctic Numerical Weather Prediction AMD_USAPDC STAC Catalog 2018-06-01 2021-12-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2544467307-AMD_USAPDC.umm_json "This research will take advantage of the greater number of Antarctic weather observations collected as part of the World Meteorological Organization's ""Year of Polar Prediction"". Researchers will use these additional observations to study new ways of incorporating data into existing weather prediction models. The primary goal of this research is to improve the accuracy of weather forecasts in Antarctica. This work is important, as the harsh weather in Antarctica greatly impacts scientific research and the support of this research. Being able to accurately predict changing weather increases the safety and efficiency of Antarctic field science and operations. The proposed effort seeks to advance goals of the World Meteorological Organization's Polar Prediction Project and its Year of Polar Prediction-Southern Hemisphere (YOPP-SH) effort. Researchers will investigate and demonstrate the forecast impact of enhanced atmospheric observations obtained from YOPP-SH's Special Observing Period on polar numerical weather prediction. This will be done by using the Antarctic Mesoscale Prediction System (AMPS). AMPS is the primary numerical weather prediction capability for the United States Antarctic Program (USAP). Modeling experimentation will assess the impact of Special Observing Period data on Antarctic forecasts and will serve as a vehicle for testing new data assimilation approaches for AMPS. The primary goal for this work is improved forecasting and numerical weather prediction tools. Outcomes will include quantification of the value of enhanced southern hemisphere atmospheric observations. This work will also help improve AMPS and its ability to support the USAP. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria." proprietary
+USAP-1844793_1 Characterization of Antarctic Firn by Multi-Frequency Passive Remote Sensing from Space AMD_USAPDC STAC Catalog 2019-04-15 2023-03-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2560369934-AMD_USAPDC.umm_json This project will test the hypothesis that physical and thermal properties of Antarctic firn--partially compacted granular snow in an intermediate stage between snow and glacier ice--can be remotely measured from space. Although these properties, such as internal temperature, density, grain size, and layer thickness, are highly relevant to studies of Antarctic climate, ice-sheet dynamics, and mass balance, their measurement currently relies on sparse in-situ surveys under challenging weather conditions. Sensors on polar-orbiting satellites can observe the entire Antarctic every few days during their years-long lifetime. Consequently, the approaches developed in this study, when coupled with the advancing technologies of small and low-cost CubeSats, aim to contribute to Antarctic science and lead to cost-effective, convenient, and accurate long-term analyses of the Antarctic system while reducing the human footprint on the continent. Moreover, the project will be solely based on publicly-available datasets; thus, while contributing to interdisciplinary undergraduate and graduate research and education at the grantee's institution, the project will also encourage engagement of citizen scientists through its website. The overarching goal of this project is to characterize Antarctic firn layers in terms of their thickness, physical temperature, density, and grain size through multi-frequency microwave radiometer measurements from space. Electromagnetic penetration depth changes with frequency in ice; thus, multi-frequency radiometers are able to profile firn layer properties versus depth. To achieve its objective, the project will utilize the Global Precipitation Measurement (GPM) satellite constellation as a single multi-frequency microwave radiometer system with 11 frequency channels observing the Antarctic Ice Sheet. Archived in-situ measurements of Antarctic firn density, grain size, temperature, and layer thickness will be collected and separated into training and test datasets. Microwave emissions simulated using the training data will be compared to GPM constellation measurements to evaluate and improve state-of-the-art forward microwave emission models. Based on these models, the project will develop numerical retrieval algorithms for the thermal and physical properties of Antarctic firn. Results of retrievals will be validated using the test dataset, and uncertainty and error analyses will be conducted. Lastly, changes in the thermal and physical characteristics of Antarctic firn will be examined through long-term retrieval studies exploiting GPM constellation measurements. proprietary
+USAP-1846837_1 CAREER: Understanding microbial heterotrophic processes in coastal Antarctic waters AMD_USAPDC STAC Catalog 2019-07-01 2024-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532074920-AMD_USAPDC.umm_json "The coastal Antarctic is undergoing great environmental change. Physical changes in the environment, such as altered sea ice duration and extent, have a direct impact on the phytoplankton and bacteria species which form the base of the marine foodweb. Photosynthetic phytoplankton are the ocean's primary producers, transforming (fixing) CO2 into organic carbon molecules and providing a source of food for zooplankton and larger predators. When phytoplankton are consumed by zooplankton, or killed by viral attack, they release large amounts of organic carbon and nutrients into the environment. Heterotrophic bacteria must eat other things, and function as ""master recyclers"", consuming these materials and converting them to bacterial biomass which can feed larger organisms such as protists. Some protists are heterotrophs, but others are mixotrophs, able to grow by photosynthesis or heterotrophy. Previous work suggests that by killing and eating bacteria, protists and viruses may regulate bacterial populations, but how these processes are regulated in Antarctic waters is poorly understood. This project will use experiments to determine the rate at which Antarctic protists consume bacteria, and field studies to identify the major bacterial taxa involved in carbon uptake and recycling. In addition, this project will use new sequencing technology to obtain completed genomes for many Antarctic marine bacteria. To place this work in an ecosystem context this project will use microbial diversity data to inform rates associated with key microbial processes within the PALMER ecosystem model. This project addresses critical unknowns regarding the ecological role of heterotrophic marine bacteria in the coastal Antarctic and the top-down controls on bacterial populations. Previous work suggests that at certain times of the year grazing by heterotrophic and mixotrophic protists may meet or exceed bacterial production rates. Similarly, in more temperate waters bacteriophages (viruses) are thought to contribute significantly to bacterial mortality during the spring and summer. These different top-down controls have implications for carbon flow through the marine foodweb, because protists are grazed more efficiently by higher trophic levels than are bacteria. This project uses a combination of grazing experiments and field observations to assess the temporal dynamics of mortality due to temperate bacteriophage and protists. Although many heterotrophic bacterial strains observed in the coastal Antarctic are taxonomically similar to strains from other regions, recent work suggest that they are phylogenetically and genetically distinct. To better understand the ecological function and evolutionary trajectories of key Antarctic marine bacteria, their genomes will be isolated and sequenced. Then, these genomes will be used to improve the predictions of the paprica metabolic inference pipeline, and our understanding of the relationship between heterotrophic bacteria and their major predators in the Antarctic marine environment. Finally, the research team will modify the Regional Test-Bed Model model to enable microbial diversity data to be used to optimize the starting conditions of key parameters, and to constrain the model's data assimilation methods." proprietary
+USAP-1847173_1 CAREER: Fracture Mechanics of Antarctic Ice Shelves and Glaciers - Representing Iceberg Calving in Ice Sheet Models and Developing Cyberlearning Tools for Outreach AMD_USAPDC STAC Catalog 2019-04-01 2024-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2732158831-AMD_USAPDC.umm_json Iceberg calving is a complex natural fracture process and a dominant cause of mass loss from the floating ice shelves on the margins of the Antarctic ice sheet. There is concern that rapid changes at these ice shelves can destabilize parts of the ice sheet and accelerate their contribution to sea-level rise. The goal of this project is to understand and simulate the fracture mechanics of calving and to develop physically-consistent calving schemes for ice-sheet models. This would enable more reliable estimation of Antarctic mass loss by reducing the uncertainty in projections. The research plan is integrated with an education and outreach plan that aims to (1) enhance computational modeling skills of engineering and Earth science students through a cross-college course and a high-performance computing workshop and (2) increase participation and diversity in engineering and sciences by providing interdisciplinary research opportunities to undergraduates and by deploying new cyberlearning tools to engage local K-12 students in the Metro Nashville Public Schools in computational science and engineering, and glaciology. This project aims to provide fundamental understanding of iceberg calving by advancing the frontiers in computational fracture mechanics and nonlinear continuum mechanics and translating it to glaciology. The project investigates crevasse propagation using poro-damage mechanics models for hydrofracture that are consistent with nonlinear viscous ice rheology, along with the thermodynamics of refreezing in narrow crevasses at meter length scales. It will develop a fracture-physics based scheme to better represent calving in ice-sheet models using a multiscale method. The effort will also address research questions related to calving behavior of floating ice shelves and glaciers, with the goal of enabling more reliable prediction of calving fronts in whole-Antarctic ice-sheet simulations over decadal-to-millennial time scales. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-1848887_1 Assemblage-wide effects of ocean acidification and ocean warming on ecologically important macroalgal-associated crustaceans in Antarctica AMD_USAPDC STAC Catalog 2019-08-01 2022-07-31 -64.0527, -64.77423, -64.0527, -64.77423 https://cmr.earthdata.nasa.gov/search/concepts/C2762346639-AMD_USAPDC.umm_json "Undersea forests of seaweeds dominate the shallow waters of the central and northern coast of the western Antarctic Peninsula and provide critical structural habitat and carbon resources (food) for a host of marine organisms. Most of the seaweeds are chemically defended against herbivores yet support very high densities of herbivorous shrimp-like grazers (crustaceans, primarily amphipods) which greatly benefit their hosts by consuming filamentous and microscopic algae that otherwise overgrow the seaweeds. The amphipods benefit from the association with the chemically defended seaweeds by gaining an associational refuge from fish predation. The project builds on recent work that has demonstrated that several species of amphipods that are key members of crustacean assemblages associated with the seaweeds suffer significant mortality when chronically exposed to increased seawater acidity (reduced pH) and elevated temperatures representative of near-future oceans. By simulating these environmental conditions in the laboratory at Palmer Station, Antarctica, the investigators will test the overall hypothesis that ocean acidification will play a significant role in structuring crustacean assemblages associated with seaweeds. Broader impacts include expanding fundamental knowledge of the impacts of global climate change by focusing on a geographic region of the earth uniquely susceptible to climate change. This project will also further the NSF goals of training new generations of scientists and of making scientific discoveries available to the general public. This includes training graduate students and early career scientists with an emphasis on diversity, presentations to K-12 groups and the general public, and a variety of social media-based outreach programs. The project will compare population and assemblage-wide impacts of natural (ambient) and carbon dioxide enriched seawater on assemblages of seaweed-associated crustacean grazers. Based on prior results, it is likely that some species will be relative ""winners"" and some will be relative ""losers"" under the changed conditions. The project will then aim to carry out measurements of growth, calcification, mineralogy, the incidence of molts, and biochemical and energetic body composition for two key amphipod ""winners"" and two key amphipod ""losers"". These measurements will allow an assessment of what factors drive species-specific enhanced or diminished performance under conditions of ocean acidification and sea surface warming. The project will expand on what little is known about prospective impacts of changing conditions on benthic marine Crustacea, in Antarctica, a taxonomic group that faces the additional physiological stressor of molting. The project is likely to provide additional insight on the indirect regulation of the seaweeds that comprise Antarctic undersea forests that provide key architectural components of the coastal marine ecosystem." proprietary
USAP-1933764_1 Antarctic Submarine Melt Variability from Remote Sensing of Icebergs AMD_USAPDC STAC Catalog 2019-05-01 2022-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2545372299-AMD_USAPDC.umm_json The project uses repeat, very high-resolution (~0.5 m pixel width and length) satellite images acquired by the WorldView satellites, to estimate rates of iceberg melting in key coastal regions around Antarctica. The satellite images are used to construct maps of iceberg surface elevation change over time, which are converted to estimates of area-averaged submarine melt rates. Where ocean temperature observations are available, the melt rates are compared to these data to determine if variations in ocean temperature can explain observed iceberg melt variability. The iceberg melt rates are also compared to glacier frontal ablation rates (flow towards the terminus minus changes in terminus position over time) and integrated into a numerical ice flow model in order to assess the importance of submarine melting on recent changes in terminus position, ice flow, and dynamic mass loss. Overall, the analysis will yield insights into the effects of changes in ocean forcing on the submarine melting of Antarctic ice shelves and icebergs. The project does not require field work in Antarctica. proprietary
USAP-1935635_1 ANT LIA Collaborative Research: Interrogating Molecular and Physiological Adaptations in Antarctic Marine Animals. AMD_USAPDC STAC Catalog 2020-06-01 2023-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075069-AMD_USAPDC.umm_json Understanding the genomic changes underlying adaptations to polar environments is critical for predicting how ecological changes will affect life in these fragile environments. Accomplishing these goals requires looking in detail at genome-scale data across a wide array of organisms in a phylogenetic framework. This study combines multifaceted computational and functional approaches that involves analyzing in the genic evolution of invertebrate organisms, known as the bryozoans or ectoprocts. In addition, the commonality of our results in other taxa will be tested by comparing the results to those produced from the previous and newly proposed workshops. Specific aims of this study include: 1) identifying genes involved in adaptation to Antarctic marine environments using transcriptomic and genomic data from bryozoans to test for positively selected genes in a phylogenetic framework, 2) experimentally testing identified candidate enzymes (especially those involved in calcium signaling, glycolysis, the citric acid cycle, and the cytoskeleton) for evidence of cold adaption, and 3) conducting computational workshops aimed at training scientists in techniques for the identification of genetic adaptations to polar and other disparate environments. The proposed work provides critical insights into the molecular rules of life in rapidly changing Antarctic environments, and provides important information for understanding how Antarctic taxa will respond to future environmental conditions. proprietary
USAP-1937546_1 ANT LIA: Collaborative Research: Genetic Underpinnings of Microbial Interactions in Chemically Stratified Antarctic Lakes AMD_USAPDC STAC Catalog 2020-09-15 2023-08-31 162, -77.733333, 163, -77.616667 https://cmr.earthdata.nasa.gov/search/concepts/C2544479199-AMD_USAPDC.umm_json Microbial communities are of more than just a scientific curiosity. Microbes represent the single largest source of evolutionary and biochemical diversity on the planet. They are the major agents for cycling carbon, nitrogen, phosphorus, and other elements through the ecosystem. Despite their importance in ecosystem function, microbes are still generally overlooked in food web models and nutrient cycles. Moreover, microbes do not live in isolation: their growth and metabolism are influenced by complex interactions with other microorganisms. This project will focus on the ecology, activity and roles of microbial communities in Antarctic Lake ecosystems. The team will characterize the genetic underpinnings of microbial interactions and the influence of environmental gradients (e.g. light, nutrients, oxygen, sulfur) and seasons (e.g. summer vs. winter) on microbial networks in Lake Fryxell and Lake Bonney in the Taylor Valley within the McMurdo Dry Valley region. Finally, the project furthers the NSF goals of training new generations of scientists by including undergraduate and graduate students, a postdoctoral researcher and a middle school teacher in both lab and field research activities. This partnership will involve a number of other outreach training activities, including visits to classrooms and community events, participation in social media platforms, and webinars. Part II: Technical description: Ecosystem function in the extreme Antarctic Dry Valleys ecosystem is dependent on complex biogeochemical interactions between physiochemical environmental factors (e.g. light, nutrients, oxygen, sulfur), time of year (e.g. summer vs. winter) and microbes. Microbial network complexity can vary in relation to specific abiotic factors, which has important implications on the fragility and resilience of ecosystems under threat of environmental change. This project will evaluate the influence of biogeochemical factors on microbial interactions and network complexity in two Antarctic ice-covered lakes. The study will be structured by three main objectives: 1) infer positive and negative interactions from rich spatial and temporal datasets and investigate the influence of biogeochemical gradients on microbial network complexity using a variety of molecular approaches; 2) directly observe interactions among microbial eukaryotes and their partners using flow cytometry, single-cell sorting and microscopy; and 3) develop metabolic models of specific interactions using metagenomics. Outcomes from amplicon sequencing, meta-omics, and single-cell genomic approaches will be integrated to map specific microbial network complexity and define the role of interactions and metabolic activity onto trends in limnological biogeochemistry in different seasons. These studies will be essential to determine the relationship between network complexity and future climate conditions. Undergraduate researchers will be recruited from both an REU program with a track record of attracting underrepresented minorities and two minority-serving institutions. To further increase polar literacy training and educational impacts, the field team will include a teacher as part of a collaboration with the successful NSF-funded PolarTREC program and participation in activities designed for public outreach. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
+USAP-1943550_1 CAREER: Foraging Ecology and Physiology of Emperor Penguins in the Ross Sea AMD_USAPDC STAC Catalog 2020-08-01 2025-07-31 168, -78, 171, -77 https://cmr.earthdata.nasa.gov/search/concepts/C2692706402-AMD_USAPDC.umm_json This project will identify behavioral and physiological variability in foraging Emperor Penguins that can be directly linked to individual success in the marine environment using an optimal foraging theory framework during two critical life history stages. First, this project will investigate the foraging energetics, ecology, and habitat use of Emperor Penguins at Cape Crozier using fine-scale movement and video data loggers during late chick-rearing, an energetically demanding life history phase. Specifically, this study will 1) Estimate the foraging efficiency and examine its relationship to foraging behavior and diet using an optimal foraging theory framework to identify what environmental or physiological constraints influence foraging behavior; 2) Investigate the inter- and intra-individual behavioral variability exhibited by emperor penguins, which is essential to predict how resilient they will be to climate change; and 3) Integrate penguin foraging efficiency data with environmental data to identify important habitat. Next the researchers will study the ecology and habitat preference after the molt and through early reproduction using satellite-linked data loggers. The researchers will: 1) Investigate the inter- and intra-individual behavioral variability exhibited by Emperor Penguins during the three-month post-molt and early winter foraging trips; and 2) Integrate penguin behavioral data with environmental data to identify which environmental features are indicative of habitat preference when penguins are not constrained to returning to the colony to feed a chick. These fine- and coarse-scale data will be combined with climate predictions to create predictive habitat models. The education objectives of this CAREER project are designed to inspire, engage, and train the next generation of scientists using the data and video generated while investigating Emperor Penguins in the Antarctic ecosystem. This includes development of two courses (general education and advanced techniques), training of undergraduate and graduate students, and a collaboration with the NSF funded “Polar Literacy: A model for youth engagement and learning” program to develop afterschool and camp curriculum that target underserved and underrepresented groups. proprietary
+USAP-1945127_1 CAREER: The Transformation, Cross-shore Export, and along-shore Transport of Freshwater on Antarctic Shelves AMD_USAPDC STAC Catalog 2020-06-01 2025-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075621-AMD_USAPDC.umm_json Freshwater discharges from melting high-latitude continental ice glacial reserves strongly control salt budgets, circulation and associated ocean water mass formation arising from polar ice shelves. These are different in nature than freshwater inputs associated with riverine coastal inputs. The PI proposes an observational deployment to measure a specific, previously-identified example of a coastal freshwater-driven current, the Antarctic Peninsula Coastal Current (APCC). The research component of this CAREER project aims to improve understanding of the dynamics of freshwater discharge around the Antarctic continent. Associated research questions pertain to the i) controls on the cross- and along-shelf spreading of fresh, buoyant coastal currents, ii) the role of distributed coastal freshwater sources (as opposed to 'point' source river outflow sources typical of lower latitudes), and iii) the contribution of these coastal currents to water mass transformation and heat transfer on the continental shelf. An educational CAREER program component leverages a series of field experiences and research outputs including data, model outputs, and theory, to bring polar science to the classroom and the general public, as well as training a new polar scientist. This combined strategy will allow the investigator to lay the foundation for a successful academic career as a researcher and teacher at the University of Delaware. The project will also provide the opportunity to train a PhD student. Informal outreach efforts will include giving public lectures at University of Deleware's sponsored events, including Coast Day, a summer event that attracts 8000-10000 people, and remote lectures from the field using an existing outreach network. This proposal requires fieldwork in the Antarctic. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-1947094_1 A non-amniote perspective on the recovery from the end-Permian extinction at high latitudes: paleobiology of Early Triassic temnospondyls from Antarctica AMD_USAPDC STAC Catalog 2020-05-01 2022-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075035-AMD_USAPDC.umm_json The research supported by this grant centers on the evolution of fossil amphibians (temnospondyls) from the Early Triassic, a crucial time interval in the evolution of life on Earth following the end-Permian mass extinction, specifically based on fossil material from Antarctica, a high-latitude paleoenvironment that may have served as a refuge for tetrapods across the extinction event. Previous records of temnospondyls, mostly reported several decades ago, are highly fragmentary, and their original interpretations are considered dubious or demonstrably erroneous by contemporary workers. The Antarctic record of temnospondyls is of great import in understanding the biotic recovery in terrestrial environments for several reasons. Firstly, temnospondyls, like amphibians today, were highly speciose in the Triassic but were also some of the most susceptible to environmental perturbations and instability. Therefore, temnospondyls provide key insights into the paleoenvironmental conditions, either in place of or alongside other lines of data. Secondly, the record of temnospondyls from the Early Triassic is quite rich, but it is also restricted to a few densely sampled regions, such as the Karoo Basin of South Africa. In order to ascertain whether observed patterns such as an unusual abundance of small-bodied taxa or a lack of faunal overlap between different depositional basins (endemism) are real or merely artifactual, study of additional, less sampled regions takes on great import. Recent collection of substantial new temnospondyl material from several horizons in the Triassic exposure of Antarctica provides the requisite data to begin to address these questions. Finally, correlating the Triassic rocks of Antarctica with those of adjacent regions is largely reliant on comparisons of faunal assemblages. In particular, the middle Fremouw Formation, one of the horizons from which new temnospondyl material was collected, remains of uncertain relation and age due to the paucity of described material. proprietary
USAP-1947562_1 Antarctica as a Model System for Responses of Terrestrial Carbon Balance to Warming AMD_USAPDC STAC Catalog 2022-01-01 2026-12-31 -65, -65, -63, -64.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532075152-AMD_USAPDC.umm_json Responses of the carbon balance of terrestrial ecosystems to warming will feed back to the pace of climate change, but the size and direction of this feedback are poorly constrained. Least known are the effects of warming on carbon losses from soil, and clarifying the major microbial controls is an important research frontier. This study uses a series of experiments and observations to investigate microbial, including autotrophic taxa, and plant controls of net ecosystem productivity in response to warming in intact ecosystems. Field warming is achieved using open-top chambers paired with control plots, arrayed along a productivity gradient. Along this gradient incoming and outgoing carbon fluxes will be measured at the ecosystem-level. The goal is to tie warming-induced shifts in net ecosystem carbon balance to warming effects on soil microbes and plants. The field study will be supplemented with lab temperature incubations. Because soil microbes dominate biogeochemical cycles in Antarctica, a major focus of this study is to determine warming responses of bacteria, fungi and archaea. This is achieved using a cutting-edge stable isotope technique, quantitative stable isotope probing (qSIP) developed by the proposing research team, that can identify the taxa that are active and involved in processing new carbon. This technique can identify individual microbial taxa that are actively participating in biogeochemical cycling of nutrients (through combined use of 18O-water and 13C-bicarbonate) and thus can be distinguished from those that are simply present (cold-preserved). The study further assesses photosynthetic uptake of carbon by the vegetation and their sensitivity to warming. Results will advance research in climate change, plant and soil microbial ecology, and ecosystem modeling. proprietary
+USAP-1947646_1 Collaborative Proposal: Miocene Climate Extremes: A Ross Sea Perspective from IODP Expedition 374 and DSDP Leg 28 Marine Sediments AMD_USAPDC STAC Catalog 2020-05-01 2023-04-30 164, -79, -156, -72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532075622-AMD_USAPDC.umm_json Presently, Antarctica's glaciers are melting as Earth's atmosphere and the Southern Ocean warm. Not much is known about how Antarctica's ice sheets might respond to ongoing and future warming, but such knowledge is important because Antarctica's ice sheets might raise global sea levels significantly with continued melting. Over time, mud accumulates on the sea floor around Antarctica that is composed of the skeletons and debris of microscopic marine organisms and sediment from the adjacent continent. As this mud is deposited, it creates a record of past environmental and ecological changes, including ocean depth, glacier advance and retreat, ocean temperature, ocean circulation, marine ecosystems, ocean chemistry, and continental weathering. Scientists interested in understanding how Antarctica's glaciers and ice sheets might respond to ongoing warming can use a variety of physical, biological, and chemical analyses of these mud archives to determine how long ago the mud was deposited and how the ice sheets, oceans, and marine ecosystems responded during intervals in the past when Earth's climate was warmer. In this project, researchers from the University of South Florida, University of Massachusetts, and Northern Illinois University will reconstruct the depth, ocean temperature, weathering and nutrient input, and marine ecosystems in the central Ross Sea from ~17 to 13 million years ago, when the warm Miocene Climate Optimum transitioned to a cooler interval with more extensive ice sheets. Record will be generated from new sediments recovered during the International Ocean Discovery Program (IODP) Expedition 374 and legacy sequences recovered in the 1970s during the Deep Sea Drilling Program. Results will be integrated into ice sheet and climate models to improve the accuracy of predictions. proprietary
USAP-1951603_1 Antarctic Meteorological Research and Data Center AMD_USAPDC STAC Catalog 2020-07-01 2025-07-01 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075146-AMD_USAPDC.umm_json The Antarctic Meteorological Research and Data Center (AMRDC) project will create an Antarctic meteorological observational data repository and archive system based on an open source platform to manage data from submission to end-user retrieval. The new archival system will host both currently available datasets and campaign meteorological datasets deposited by other Antarctic investigators. Both real-time meteorological data and archive data from the repository (e.g. Antarctic composite satellite imagery, AWS observations, etc.) will be accessible on a newly constructed website. The project will engage undergraduate and graduate students in order to provide them with meaningful experiences that can translate to any science, technology, engineering, and mathematics (STEM) career path. Project participants and students will be involved in case studies, climatology reporting and development of whitepapers on related topics. The outcomes of this project revolve around data, and the students, researchers, and decision makers who all use and rely on Antarctic meteorological data. The AMRDC will not only be a resource for users, but it will also provide investigators a repository to place campaign datasets and meet NSF standards and requirements. This project also aims to give students Antarctic field experiences who are considering a career in science, technology, engineering and mathematics (STEM). proprietary
USAP-1954241_1 ANT LIA: Hypoxia Tolerance in Notothenioid Fishes AMD_USAPDC STAC Catalog 2021-06-01 2024-05-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075145-AMD_USAPDC.umm_json The frequency and severity of hypoxic events are increasing in marine and freshwater environments worldwide with climate warming, threatening the health of aquatic ecosystems and the viability of fish populations. The Southern Ocean surrounding Antarctica has historically been a stable, icy-cold, and oxygen-rich environment, but is now warming at an unprecedented rate and faster than all other regions in the Southern hemisphere. Evolution at sub-zero temperatures has equipped Antarctic fishes with traits allowing them to thrive in frigid waters, but has diminished their resilience to warming. Presently little is known about the ability of Antarctic fishes to withstand hypoxic conditions that often accompany warming. This research will investigate the hypoxia tolerance of four species of Antarctic fishes, including two species of icefishes that lack the oxygen-carrying protein, hemoglobin, which may compromise their ability to oxygenate tissues under hypoxic conditions. The hypoxia tolerance of Antarctic fish species will be compared to that of a related fish species inhabiting coastal regions of South America. Physiological and biochemical responses to hypoxia will be evaluated and compared amongst the five species to bolster our predictions of the capacity of Antarctic fishes to cope with a changing environment. This research will provide training opportunities for undergraduate and graduate students, and a postdoctoral research fellow. A year-long seminar series hosted by the Aquarium of the Pacific will feature female scientists who work in Antarctica to inspire youth in the greater Los Angeles area to pursue careers in science. proprietary
+USAP-2019719_1 Center for Oldest Ice Exploration AMD_USAPDC STAC Catalog 2021-10-01 2026-09-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2639455104-AMD_USAPDC.umm_json Cores drilled through the Antarctic ice sheet provide a remarkable window on the evolution of Earth’s climate and unique samples of the ancient atmosphere. The clear link between greenhouse gases and climate revealed by ice cores underpins much of the scientific understanding of climate change. Unfortunately, the existing data do not extend far enough back in time to reveal key features of climates warmer than today. COLDEX, the Center for Oldest Ice Exploration, will solve this problem by exploring Antarctica for sites to collect the oldest possible record of past climate recorded in the ice sheet. COLDEX will provide critical information for understanding how Earth’s near-future climate may evolve and why climate varies over geologic time. New technologies will be developed for exploration and analysis that will have a long legacy for future research. An archive of old ice will stimulate new research for the next generations of polar scientists. COLDEX programs will galvanize that next generation of polar researchers, bring new results to other scientific disciplines and the public, and help to create a more inclusive and diverse scientific community. Knowledge of Earth’s climate history is grounded in the geologic record. This knowledge is gained by measuring chemical, biological and physical properties of geologic materials that reflect elements of climate. Ice cores retrieved from polar ice sheets play a central role in this science and provide the best evidence for a strong link between atmospheric carbon dioxide and climate on geologic timescales. The goal of COLDEX is to extend the ice-core record of past climate to at least 1.5 million years by drilling and analyzing a continuous ice core in East Antarctica, and to much older times using discontinuous ice sections at the base and margin of the ice sheet. COLDEX will develop and deploy novel radar and melt-probe tools to rapidly explore the ice, use ice-sheet models to constrain where old ice is preserved, conduct ice coring, develop new analytical systems, and produce novel paleoclimate records from locations across East Antarctica. The search for Earth’s oldest ice also provides a compelling narrative for disseminating information about past and future climate change and polar science to students, teachers, the media, policy makers and the public. COLDEX will engage and incorporate these groups through targeted professional development workshops, undergraduate research experiences, a comprehensive communication program, annual scientific meetings, scholarships, and broad collaboration nationally and internationally. COLDEX will provide a focal point for efforts to increase diversity in polar science by providing field, laboratory, mentoring and networking experiences for students and early career scientists from groups underrepresented in STEM, and by continuous engagement of the entire COLDEX community in developing a more inclusive scientific culture. proprietary
+USAP-2032463_1 Collaborative Research: Laser Cutting Technology for Borehole Sampling AMD_USAPDC STAC Catalog 2020-09-10 2022-09-09 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2837691710-AMD_USAPDC.umm_json Overview It is proposed that laser cutting technology can be used to rapidly extract high quality ice samples from borehole walls. The technology applies to both existing boreholes and newly drilled ones, even enabling scientists to obtain samples using non‐coring mechanical drills. Since the instrumentation is highly portable, a field team of three persons might take no longer than a few days in the field to extract ice, and samples from a critical time period could be extracted from multiple locations in a single field season. This pilot program will investigate and validate the technology of laser sampling. It is beneficial to use fiber optics to convey light in borehole instrumentation rather than attempting to package a complete laser system for travel down a borehole, so the cutting laser and wavelength (1.07Pm) are chosen with such engineering in mind. The primary scientific goals of the program are to: 1) determine optimum cutting conditions in terms of laser power and operating conditions, 2) quantifying the effects of residual meltwater that remain in the cut slot after a cut so that re-cutting needs can be predicted or mitigated, 3) designing and testing mechanical structures to retract samples from blocks of ice once cut, and 4) analyzing the composition and crystal structure of ice near a cut slot to determine the impacted volume (if any) of ice and temperatures where scientific readings might be affected by the sampling process. Intellectual Merits The collection of deep ice from the Polar Ice Sheets involves large amounts of time, effort, and expense. Often, the most important information is held in very small volumes of core, and while replicate coring can supplement this core, there is often a need to retrieve additional ice samples based on recent scientific findings or borehole logging at a site. In addition, there is currently no easy method of extracting ice from boreholes drilled by non‐coring mechanical drills, which are often much faster, lighter, and less expensive to operate. There are numerous specific projects that could immediately benefit from laser sampling including sampling ice overlaying buried impact craters and bolides, filling critical gaps in the chemical record in damaged core sections from Siple Dome, obtaining oldest ice cores from brittle sections near the surface of the Allan Hills blue ice area, where coring drills apply stresses that may fracture the ice, and replacing core whose value has degraded due to time and depressurization. This program builds on a prior engineering advances in optical fiber‐based logging technology, developed previously for Siple Dome borehole logging. Broader Impact Laser sampling would advance numerous fields interfaced with glaciology and ice core studies. These include climate and paleoenvironmental science, volcanology, and human history where large volumes of ice are crucial to extract ultra‐high resolution records of natural and anthropogenic emissions. Potentially the principle of laser sampling could be used to directly sample and study ice on other planets or their satellites. This program encompasses a broad base of theoretical, experimental, and design work, which makes it ideal for training postdoctoral scientists, graduate students, and advanced undergraduates. The program will include a research opportunity for one or more middle school teachers through a Research Experience for Teachers program with one of the local school districts of the Twin Cities area. The teacher(s) will assist the investigators in the analysis of scattered laser light in glacier ice, and will set up a small experiment at various visible wavelengths to measure scattering constants. These experiments have been chosen because they can easily translate into classroom demonstrations and hands‐on activities using eye-safe visible- light LED sources and large samples of artificial ice. The teacher(s) will also produce a lesson plan on basic optics, glacial ice, or polar science as a deliverable. This proposal does not involve field work. proprietary
+USAP-2046240_1 CAREER: Coastal Antarctic Snow Algae and Light Absorbing Particles: Snowmelt, Climate and Ecosystem Impacts AMD_USAPDC STAC Catalog 2022-01-01 2026-12-31 -75, -70.5, -60, -62 https://cmr.earthdata.nasa.gov/search/concepts/C2532075164-AMD_USAPDC.umm_json Rapid and persistent climate warming in the Western Antarctic Peninsula is likely resulting in intensified snow-algae growth and an extended bloom season in coastal areas. Similarly, deposition of light absorbing particles (LAPs) onto Antarctica cryosphere surfaces, such as black carbon from intensifying Southern Hemisphere wildfire seasons, and dust from the expansion of ice-free regions in the Antarctic Peninsula, may be increasing. The presence of snow algae blooms and LAPs enhance the absorption of solar radiation by snow and ice surfaces. This positive feedback creates a measurable radiative forcing, which can have immediate local and long-term regional impacts on albedo, snow melt and downstream ecosystems. This project will investigate the spatial and temporal distribution of snow algae, black carbon and dust across the Western Antarctica Peninsula region, their response to climate warming, and their role in regional snow and ice melt. Data will be collected across multiple spatial scales from in situ field measurements and sample collection to imagery from ground-based photos and high resolution multi-spectral satellite sensors. Ground measurements will inform development and application of novel algorithms to map algal bloom extent through time using 0.5-3m spatial resolution multi-spectral satellite imagery. Results will be used to improve snow algae parameterization in a new version of the Snow Ice Aerosol Radiation model (SNICARv3) that includes bio-albedo feedbacks, eventually informing models of ice-free area expansion through incorporation of SNICARv3 in the Community Earth System Model. Citizen scientists will be mentored and engaged in the research through an active partnership with the International Association of Antarctic Tour Operators that frequently visits the region. The cruise ship association will facilitate sampling to develop a unique snow algae observing network to validate remote sensing algorithms that map snow algae with high-resolution multi-spectral satellite imagery from space. These time-series will inform instantaneous and interannual radiative forcing calculations to assess impacts of snow algae and LAPs on regional snow melt. Quantifying the spatio-temporal growing season of snow algae and impacts from black carbon and dust will increase our ability to model their impact on snow melt, regional climate warming and ice-free expansion in the Antarctic Peninsula region. proprietary
+USAP-2046437_1 CAREER: Development of Unmanned Ground Vehicles for Assessing the Health of Secluded Ecosystems (ECHO) AMD_USAPDC STAC Catalog 2021-09-01 2026-08-31 -60, -80, 10, -55 https://cmr.earthdata.nasa.gov/search/concepts/C2532075144-AMD_USAPDC.umm_json Polar ecosystems currently experience significant impacts due to global changes. Measurable negative effects on polar wildlife have already occurred, such as population decreases of numerous seabird species, including the complete loss of colonies of one of the most emblematic species of the Antarctic, the emperor penguin. These existing impacts on polar species are alarming, especially because many polar species still remain poorly studied due to technical and logistical challenges imposed by the harsh environment and extreme remoteness. Developing technologies and tools for monitoring such wildlife populations is, therefore, a matter of urgency. This project aims to help close major knowledge gaps about the emperor penguin, in particular about their adaptive capability to a changing environment, by the development of next-generation tools to remotely study entire colonies. Specifically, the main goal of this project is to implement and test an autonomous unmanned ground vehicle equipped with Radio-frequency identification (RFID) antennas and wireless mesh communication data-loggers to: 1) identify RFID-tagged emperor penguins during breeding to studying population dynamics without human presence; and 2) receive GPS-TDR datasets from VHF-GPS-TDR data-loggers without human presence to study animal behavior and distribution at sea. The autonomous vehicles navigation through the colony will be aided by an existing remote penguin observatory (SPOT). Properly implemented, this technology can be used to study of the life history of individual penguins, and therefore gather data for behavioral and population dynamic studies. The education objectives of this CAREER project are designed to increase the interest in a STEM education for the next generation of scientists by combining the charisma of the emperor penguin with robotics research. Within this project, a new class on ecosystem robotics will be developed and taught, Robotics boot-camps will allow undergraduate students to remotely participate in Antarctic field trips, and an annual curriculum will be developed that allows K-12 students to follow the life of the emperor penguin during the breeding cycle, powered by real-time data obtained using the unmanned ground vehicle as well as the existing emperor penguin observatory. proprietary
+USAP-2046800_1 CAREER: Ecosystem Impacts of Microbial Succession and Production at Antarctic Methane Seeps AMD_USAPDC STAC Catalog 2022-01-01 2026-12-31 162, -78, 168, -77 https://cmr.earthdata.nasa.gov/search/concepts/C2532075149-AMD_USAPDC.umm_json Due to persistent cold temperatures, geographical isolation, and resulting evolutionary distinctness of Southern Ocean fauna, the study of Antarctic reducing habitats has the potential to fundamentally alter our understanding of the biologic processes that inhibit greenhouse gas emissions from our oceans. Marine methane, a greenhouse gas 25x as potent as carbon dioxide for warming our atmosphere, is currently a minor component of atmospheric forcing due to the microbial oxidation of methane within the oceans. Based on studies of persistent deep-sea seeps at mid- and northern latitudes we have learned that bacteria and archaea create a ‘sediment filter’ that oxidizes methane prior to its release. As increasing global temperatures have and will continue to alter the rate and variance of methane release, the ability of the microbial filter to respond to fluctuations in methane cycles is a critical yet unexplored avenue of research. Antarctica contains vast reservoirs of methane, equivalent to all of the permafrost in the Arctic, and yet we know almost nothing about the fauna that may mitigate its release, as until recently, we had not discovered an active methane seep. In 2012, a methane seep was discovered in the Ross Sea, Antarctica that formed in 2011 providing the first opportunity to study an active Antarctic methane-fueled habitat and simultaneously the impact of microbial succession on the oxidation of methane, a critical ecosystem service. Previous work has shown that after 5 years of seepage, the community was at an early stage of succession and unable to mitigate the release of methane from the seafloor. In addition, additional areas of seepage had begun nearby. This research aims to quantify the community trajectory of these seeps in relation to their role in the Antarctic Ecosystem, from greenhouse gas mitigation through supporting the food web. Through the application of genomic and transcriptomic approaches, taxa involved in methane cycling and genes activated by the addition of methane will be identified and contrasted with those from other geographical locations. These comparisons will elucidate how taxa have evolved and adapted to the polar environment. This research uses a ‘genome to ecosystem’ approach to advance our understanding of organismal and systems ecology in Antarctica. By quantifying the trajectory of community succession following the onset of methane emission, the research will decipher temporal shifts in biodiversity/ecosystem function relationships. Phylogenomic approaches focusing on taxa involved in methane cycling will advance the burgeoning field of microbial biogeography on a continent where earth’s history may have had a profound yet unquantified impact on microbial evolution. Further, the research will empirically quantify the role of chemosynthesis as a form of export production from seeps and in non-seep habitats in the nearshore Ross Sea benthos, informing our understanding of Antarctic carbon cycling. proprietary
USAP-2055455_1 ANT LIA - Viral Ecogenomics of the Southern Ocean: Unifying Omics and Ecological Networks to Advance our Understanding of Antarctic Microbial Ecosystem Function AMD_USAPDC STAC Catalog 2021-05-01 2024-04-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2532075626-AMD_USAPDC.umm_json "Part 1: Non-technical description: It is well known that the Southern Ocean plays an important role in global carbon cycling and also receives a disproportionately large influence of climate change. The role of marine viruses on ocean productivity is largely understudied, especially in this global region. This team proposes to use combination of genomics, flow cytometry, and network modeling to test the hypothesis that viral biogeography, infection networks, and viral impacts on microbial metabolism can explain variations in net community production (NCP) and carbon cycling in the Southern Ocean. The project includes the training of a postdoctoral scholar, graduate students and undergraduate students. It also includes the development of a new Polar Sci ReachOut program in partnership with the University of Michigan Museum of Natural History especially targeted to middle-school students and teachers and the general public. The team will also produce a Science for Tomorrow (SFT) program for use in middle schools in metro-Detroit communities and lead a summer Research Experience for Teachers (RET) fellows. Part 2: Technical description: The study will leverage hundreds of existing samples collected for microbes and viruses from the Antarctic Circumpolar Expedition (ACE). These samples provide the first contiguous survey of viral diversity and microbial communities around Antarctica. Viral networks are being studied in the context of biogeochemical data to model community networks and predict net community production (NCP), which will provide a way to evaluate the role of viruses in Southern Ocean carbon cycling. Using cutting edge molecular and flow cytometry approaches, this project addresses the following questions: 1) How/why are Southern Ocean viral populations distributed across environmental gradients? 2a) Do viruses interfere with ""keystone"" metabolic pathways and biogeochemical processes of microbial communities in the Southern Ocean? 2b) Does nutrient availability or other environmental variables drive changes in virus-microbe infection networks in the Southern Ocean? Results will be used to develop and evaluate generative models of NCP predictions that incorporate the importance of viral traits and virus-host interactions. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria." proprietary
USAP-2130663_1 2021 Antarctic Subsea Cable Workshop: High-Speed Connectivity Needs to Advance US Antarctic Science AMD_USAPDC STAC Catalog 2021-06-01 2023-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2556670196-AMD_USAPDC.umm_json Current networking capacity at McMurdo Station is insufficient to even be considered broadband, with a summer population of up to 1000 people sharing what is equivalent to the connection enjoyed by a typical family of three in the United States. The changing Antarctic ice sheets and Southern Ocean are large, complex systems that require cutting edge technology to do cutting edge research, with remote technology becoming increasingly useful and even necessary to monitor changes at sufficient spatial and temporal scales. Antarctic science also often involves large data-transfer needs not currently met by existing satellite communication infrastructure. This workshop will gather representatives from across Antarctic science disciplinesfrom astronomy to zoologyas well as research and education networking experts to explore the scientific advances that would be enabled through dramatically increased real-time network connectivity, and also consider opportunities for subsea cable instrumentation. This workshop will assess the importance of a subsea fiber optic cable for high-capacity real-time connectivity in the US Antarctic Program, which is at the forefront of some of the greatest climate-related challenges facing our planet. The workshop will: (1) document unmet or poorly met current scientific and logistic needs for connectivity; (2) explore connectivity needs for planned future research and note the scientific advances that would be possible if the full value of modern cyberinfrastructure-empowered research could be brought to the Antarctic research community; and (3) identify scientific opportunities in planning a fully instrumented communication cable as a scientific observatory. Due to the ongoing COVID-19 pandemic, the workshop will be hosted and streamed online. While the workshop will be limited to invited personnel in order to facilitate a collaborative working environment, broad community input will be sought via survey and via comment on draft outputs. A workshop summary document and report will be delivered to NSF. Increasing US Antarctic connectivity by orders of magnitude will be transformative for science and logistics, and it may well usher in a new era of Antarctic science that is more accessible, efficient and sustainable. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-2132641_1 ANT LIA: Do Molecular Data Support High Endemism and Divergent Evolution of Antarctic Marine Nematodes and their Host-associated Microbiomes? AMD_USAPDC STAC Catalog 2022-07-15 2026-06-30 -180, -80, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2544555474-AMD_USAPDC.umm_json Nematode worms are abundant and ubiquitous in marine sediment habitats worldwide, performing key functions such as nutrient cycling and sediment stability. However, study of this phylum suffers from a perpetual and severe taxonomic deficit, with less than 5,000 formally described marine species. Fauna from the Southern Ocean are especially poorly studied due to limited sampling and the general inaccessibility of the Antarctic benthos. This study is providing the first large-scale molecular-based investigation from marine nematodes in the Eastern Antarctic continental shelf, providing an important comparative dataset for the existing body of historical (morphological) taxonomic studies. This project uses a combination of classical taxonomy (microscopy) and modern -omics tools to achieve three overarching aims: 1) determine if molecular data supports high biodiversity and endemism of benthic meiofauna in Antarctic benthic ecosystems; 2) determine the proportion of marine nematode species that have a deep-sea versus shallow-water evolutionary origin on the Antarctic shelf, and assess patterns of cryptic speciation in the Southern Ocean; and 3) determine the most important drivers of the host-associated microbiome in Antarctic marine nematodes. This project is designed to rapidly advance knowledge of the evolutionary origins of Antarctic meiofauna, provide insight on population-level patterns within key indicator genera, and elucidate the potential ecological and environmental factors which may influence microbiome patterns. Broader Impacts activities include an intensive cruise- and land-based outreach program focusing on social media engagement and digital outreach products, raising awareness of Antarctic marine ecosystems and understudied microbial-animal relationships. The diverse research team includes female scientists, first-generation college students, and Latinx trainees. proprietary
+USAP-2133684_1 Collaborative Research: ANT LIA Integrating Genomic and Phenotypic Analyses to understand Microbial Life in Antarctic Soils AMD_USAPDC STAC Catalog 2022-04-01 2025-03-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2660035273-AMD_USAPDC.umm_json Not all of Antarctica is covered in ice. In fact, soils are common to many parts of Antarctica, and these soils are often unlike any others found on Earth. Antarctic soils harbor unique microorganisms able to cope with the extremely cold and dry conditions common to much of the continent. For decades, microbiologists have been drawn to the unique soils in Antarctica, yet critical knowledge gaps remain. Most notably, it is unclear what properties allow certain microbes to thrive in Antarctic soils. By using a range of methods, this project is developing comprehensive model that discovers the unique genomic features of soils diversity, distributions, and adaptations that allow Antarctic soil microbes to thrive in extreme environments. The proposed work will be relevant to researchers in many fields, including engineers seeking to develop new biotechnologies, ecologists studying the contributions of these microbial communities to the functioning of Antarctic ecosystems, microbiologists studying novel microbial adaptations to extreme environmental conditions, and even astrobiologists studying the potential for life on Mars. More generally, the proposed research presents an opportunity to advance our current understanding of the microbial life found in one of the more distinctive microbial habitats on Earth, a habitat that is inaccessible to many scientists and a habitat that is increasingly under threat from climate change. The research project explores the microbial diversity in Antarctic soils and links specific features to different soil types and environmental conditions. The overarching questions include: What microbial taxa are found in a variety of Antarctic environments? What are the environmental preferences of specific taxa or lineages? What are the genomic and phenotypic traits of microorganisms that allow them to persist in extreme environments and determine biogeographical differneces? This project will analyze archived soils collected from across Antarctica by a network of international collaborators, with samples selected to span broad gradients in soil and site conditions. The project uses cultivation-independent, high-throughput genomic analysis methods and cultivation-dependent approaches to analyze bacterial and fungal communities in soil samples. The results will be used to predict the distributions of specific taxa and lineages, obtain genomic information for the more ubiquitous and abundant taxa, and quantify growth responses in vitro across gradients in temperature, moisture, and salinity. This integration of ecological, environmental, genomic, and trait-based information will provide a comprehensive understanding of microbial life in Antarctic soils. This project will also help facilitate new collaborations between scientists across the globe while providing undergraduate students with ''hands-on'' research experiences that introduce the next generation of scientists to the field of Antarctic biology. This award reflects NSF''s statutory mission and has been deemed worthy of support through evaluation using the Foundation''s intellectual merit and broader impacts review criteria. proprietary
+USAP-2141555_1 CAREER: Using Otolith Chemistry to Reveal the Life History of Antarctic Toothfish in the Ross Sea, Antarctica: Testing Fisheries and Climate Change Impacts on a Top Fish Predator AMD_USAPDC STAC Catalog 2022-05-01 2027-04-30 161, -79, -151, -71.5 https://cmr.earthdata.nasa.gov/search/concepts/C2532075614-AMD_USAPDC.umm_json The Ross Sea, Antarctica, is one of the last large intact marine ecosystems left in the world, yet is facing increasing pressure from commercial fisheries and environmental change. It is the most productive stretch of the Southern Ocean, supporting an array of marine life, including Antarctic toothfish the regions top fish predator. While a commercial fishery for toothfish continues to grow in the Ross Sea, fundamental knowledge gaps remain regarding toothfish ecology and the impacts of toothfish fishing on the broader Ross Sea ecosystem. Recognizing the global value of the Ross Sea, a large (>2 million km2) marine protected area was adopted by the multi-national Commission for the Conservation of Antarctic Marine Living Resources in 2016. This research will fill a critical gap in the knowledge of Antarctic toothfish and deepen understanding of biological-physical interactions for fish ecology, while contributing to knowledge of impacts of fishing and environmental change on the Ross Sea system. This work will further provide innovative tools for studying connectivity among geographically distinct fish populations and for synthesizing and assessing the efficacy of a large-scale marine protected area. In developing an integrated research and education program in engaged scholarship, this project seeks to train the next generation of scholars to engage across the science-policy-public interface, engage with Southern Ocean stakeholders throughout the research process, and to deepen the publics appreciation of the Antarctic. A major research priority among Ross Sea scientists is to better understand the life history of the Antarctic toothfish and test the efficacy of the Ross Sea Marine Protected Area (MPA) in protecting against the impacts of overfishing and climate change. Like growth rings of a tree, fish ear bones, called otoliths, develop annual layers of calcium carbonate that incorporates elements from their environment. Otoliths offer information on the fishs growth and the surrounding ocean conditions. Hypothesizing that much of the Antarctic toothfish life cycle is structured by ocean circulation, this research employs a multi-disciplinary approach combining age and growth work with otolith chemistry testing, while also utilizing GIS mapping. The project will measure life history parameters as well as trace elements and stable isotopes in otoliths in three distinct sets collected over the last four decades in the Ross Sea. The information will be used to quantify the transport pathways Antarctic toothfish use across their life history, and across time, in the Ross Sea. The project will assess if toothfish populations from the Ross Sea are connected more widely across the Antarctic. By comparing life history and otolith chemistry data across time, the researchers will assess change in life history parameters and spatial dynamics and seek to infer if these changes are driven by fishing or climate change. Spatially mapping of these data will allow an assessment of the efficacy of the Ross Sea MPA in protecting toothfish and where further protections might be needed. This award reflects NSF''s statutory mission and has been deemed worthy of support through evaluation using the Foundation''s intellectual merit and broader impacts review criteria. proprietary
+USAP-2142491_1 CAREER: Experimentally Testing the Role of Sympagic Algae in Sea-ice Environments using a Laboratory Scale Ice-tank. AMD_USAPDC STAC Catalog 2022-07-15 2027-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2739658250-AMD_USAPDC.umm_json "The aims of this CAREER proposal are to gain a greater understanding of the role of sympagic algae in Antarctic marine ecosystems with the goal to better parameterize their role in biogeochemical and ecosystem processes across dynamic environments. Specifically, this proposal will apply a laboratory-scale, ice-tank system that recreates the seasonal cycle of sea ice in the laboratory for the purpose of studying sympagic microbes to study the following questions: 1.1 Starting with a late autumn, mixed phytoplankton community, how do different algal species specialize to sea ice, seawater and flooded snow/ice habitats over winter? 1.2 What are the relationships between different methods of measuring primary production (fluorescence, O2 production, CO2 drawdown) in sea ice? Does this differ from seawater? 1.3 Does the presence of sea-ice algae influence the physical structure of sea ice? 1.4 How does the release of compatible solutes from algae during ice melt influence the dissolved organic pool? In addition, I propose to integrate educational activities with my research goals. This includes development of an educational program at the university and K-12 level on Antarctic Sciences that develops critical thinking and quantitative skills, encourages STEM participation from underrepresented groups and establishes an interactive network of Antarctic researchers to broaden research opportunities. " proprietary
USAP-2149070_1 ANT LIA: Collaborative Research: Adaptations of Southern Ocean Diatoms to Manganese Scarcity: Can Physiological Ingenuity Overcome Unfavorable Chemistry? AMD_USAPDC STAC Catalog 2023-02-01 2026-01-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2639396829-AMD_USAPDC.umm_json This proposal represents collaborative research to explore manganese (Mn) limitation in Antarctic diatoms by two early career investigators. Diatoms are central players in the Southern Ocean carbon cycle, where the micronutrient chemistry is fundamentally different from other oceans. The Southern Ocean is characterized by widespread low Mn, coupled with high zinc (Zn). High Zn levels are potentially toxic to diatoms as Zn can competitively inhibit Mn uptake and metabolism, compromising the ability of building critical cellular components, thus impacting the biological pump. Using culture experiments with a matrix of micronutrient treatments (Mn, Zn, Fe) and irradiances, and using physiological and transcriptomic approaches, along with biochemical principles, the Principal Investigators will address the central hypothesis (that diatoms from the Southern Ocean possess unique physiological mechanisms to adapt to low Mn/high Zn) by quantifying rates of uptake and transporter binding constants. The transcriptomics approach will help to identify candidate genes that may provide Antarctic diatoms physiological mechanisms in low Mn/high Zn environment. The project does not require fieldwork but instead would make use of culture experiments with 4 diatom species (3 Antarctic, and 1 temperate). The proposed approach will also enable the goal of developing biomarker(s) for assessing Mn stress or Zn toxicity and results from the physiological experiments will help parameterize models of micronutrient limitation in the Southern Ocean. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. proprietary
USAP-2232891_1 ANT LIA: The Role of Sex Determination in the Radiation of Antarctic Notothenioid Fish AMD_USAPDC STAC Catalog 2023-08-15 2027-07-31 -180, -90, 180, -37 https://cmr.earthdata.nasa.gov/search/concepts/C2759058324-AMD_USAPDC.umm_json Antarctic animals face tremendous threats as Antarctic ice sheets melt and temperatures rise. About 34 million years ago, when Antarctica began to cool, most species of fish became locally extinct. A group called the notothenioids, however, survived due to the evolution of antifreeze. The group eventually split into over 120 species. Why did this group of Antarctic fishes evolve into so many species? One possible reason why a single population splits into two species relates to sex genes and sex chromosomes. Diverging species often have either different sex determining genes (genes that specify whether an individual’s gonads become ovaries or testes) or have different sex chromosomes (chromosomes that differ between males and females within a species, like the human X and Y chromosomes). We know the sex chromosomes of only a few notothenioid species and know the genetic basis for sex determination in none of them. The aims of this research are to: 1) identify sex chromosomes in species representing every major group of Antarctic notothenioid fish; 2) discover possible sex determining genes in every major group of Antarctic notothenioid fish; and 3) find sex chromosomes and possible sex determining genes in two groups of temperate, warmer water, notothenioid fish. These warmer water fish include groups that never experienced the frigid Southern Ocean and groups that had ancestors inhabiting Antarctic oceans that later adjusted to warmer waters. This project will help explain the mechanisms that led to the division of a group of species threatened by climate change. This information is critical to conserve declining populations of Antarctic notothenioids, which are major food sources for other Antarctic species such as bird and seals. The project will offer a diverse group of undergraduates the opportunity to develop a permanent exhibit at the Eugene Science Center Museum. The exhibit will describe the Antarctic environment and explain its rapid climate change. It will also introduce the continent’s bizarre fishes that live below the freezing point of water. The project will collaborate with the university’s Science and Comics Initiative and students in the English Department’s Comics Studies Minor to prepare short graphic novels explaining Antarctic biogeography, icefish specialties, and the science of this project as it develops. proprietary
USAP-2240780_1 ANT LIA: Collaborative Research: Mixotrophic Grazing as a Strategy to meet Nutritional Requirements in the Iron and Manganese Deficient Southern Ocean AMD_USAPDC STAC Catalog 2023-02-15 2026-01-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2639396983-AMD_USAPDC.umm_json Mixotrophic microorganisms that are capable of both photosynthetic and heterotrophic forms of metabolism are key contributors to primary productivity and organic carbon remineralization in the Southern Ocean. However, uncertainties in their grazing behavior and physiology prevent an accurate understanding of microbial food web dynamics and biogeochemical cycling in the Antarctic ecosystem. Polar mixotrophs have evolved to withstand extreme seasonality, including variable light, sea ice, temperature, and micronutrient concentrations. In particular, the Southern Ocean appears to be the only region of the world’s ocean where the bioessential trace metals iron (Fe) and manganese (Mn) are low enough to inhibit photosynthetic growth. The molecular physiology of mixotrophs experiencing Fe and Mn growth limitation has not yet been examined, and we lack an understanding of how seasonal changes in the availability of these micronutrients influence mixotrophic growth dynamics. We aim to examine whether grazing affords mixotrophs an ecological advantage in the Fe and Mn-deficient Southern Ocean, and to characterize the shifts in metabolic processes that occur during transitions in micronutrient conditions. Culture studies will directly measure growth responses, grazing behavior, and changes in elemental stoichiometry in response to Fe and Mn limitation. Transcriptomic analyses will reveal the metabolic underpinnings of trophic behavior and micronutrient stress responses, with implications for key biogeochemical processes such as carbon fixation, remineralization, and nutrient cycling. proprietary
USAP-9615281_1 Air-Ground Study of Tectonics at the Boundary Between the Eastern Ross Embayment and Western Marie Byrd Land, Antarctica: Basement Geology and Structure AMD_USAPDC STAC Catalog 1997-08-15 2002-07-31 -170, -84, -135, -76 https://cmr.earthdata.nasa.gov/search/concepts/C2532072225-AMD_USAPDC.umm_json This award supports a collaborative project that combines air and ground geological-geophysical investigations to understand the tectonic and geological development of the boundary between the Ross Sea Rift and the Marie Byrd Land (MBL) volcanic province. The project will determine the Cenozoic tectonic history of the region and whether Neogene structures that localized outlet glacier flow developed within the context of Cenozoic rifting on the eastern Ross Embayment margin, or within the volcanic province in MBL. The geological structure at the boundary between the Ross Embayment and western MBL may be a result of: 1) Cenozoic extension on the eastern shoulder of the Ross Sea rift; 2) uplift and crustal extension related to Neogene mantle plume activity in western MBL; or a combination of the two. Faulting and volcanism, mountain uplift, and glacier downcutting appear to now be active in western MBL, where generally East-to-West-flowing outlet glaciers incise Paleozoic and Mesozoic bedrock, and deglaciated summits indicate a previous North-South glacial flow direction. This study requires data collection using SOAR (Support Office for Aerogeophysical Research, a facility supported by Office of Polar Programs which utilizes high precision differential GPS to support a laser altimeter, ice-penetrating radar, a towed proton magnetometer, and a Bell BGM-3 gravimeter). This survey requires data for 37,000 square kilometers using 5.3 kilometer line spacing with 15.6 kilometer tie lines, and 86,000 square kilometers using a grid of 10.6 by 10.6 kilometer spacing. Data will be acquired over several key features in the region including, among other, the eastern edge of the Ross Sea rift, over ice stream OEO, the transition from the Edward VII Peninsula plateau to the Ford Ranges, the continuation to the east of a gravity high known from previous reconnaissance mapping over the Fosdick Metamorphic Complex, an d the extent of the high-amplitude magnetic anomalies (volcanic centers?) detected southeast of the northern Ford Ranges by other investigators. SOAR products will include glaciology data useful for studying driving stresses, glacial flow and mass balance in the West Antarctic Ice Sheet (WAIS). The ground program is centered on the southern Ford Ranges. Geologic field mapping will focus on small scale brittle structures for regional kinematic interpretation, on glaciated surfaces and deposits, and on datable volcanic rocks for geochronologic control. The relative significance of fault and joint sets, the timing relationships between them, and the probable context of their formation will also be determined. Exposure ages will be determined for erosion surfaces and moraines. Interpretation of potential field data will be aided by on ground sampling for magnetic properties and density as well as ground based gravity measurements. Oriented samples will be taken for paleomagnetic studies. Combined airborne and ground investigations will obtain basic data for describing the geology and structure at the eastern boundary of the Ross Embayment both in outcrop and ice covered areas, and may be used to distinguish between Ross Sea rift- related structural activity from uplift and faulting on the perimeter of the MBL dome and volcanic province. Outcrop geology and structure will be extrapolated with the aerogeophysical data to infer the geology that resides beneath the WAIS. The new knowledge of Neogene tectonics in western MBL will contribute to a comprehensive model for the Cenozoic Ross rift and to understanding of the extent of plume activity in MBL. Both are important for determining the influence of Neogene tectonics on the ice streams and WAIS. proprietary
+USAP-9725024_1 Circumpolar Deep Water and the West Antarctic Ice Sheet AMD_USAPDC STAC Catalog 1988-03-01 2002-02-28 140, -68, 150, -65 https://cmr.earthdata.nasa.gov/search/concepts/C2532072042-AMD_USAPDC.umm_json This project will study the dynamics of Circumpolar Deep Water intruding on the continental shelf of the West Antarctic coast, and the effect of this intrusion on the production of cold, dense bottom water, and melting at the base of floating glaciers and ice tongues. It will concentrate on the Amundsen Sea shelf, specifically in the region of the Pine Island Glacier, the Thwaites Glacier, and the Getz Ice Shelf. Circumpolar Deep Water (CDW) is a relatively warm water mass (warmer than +1.0 deg Celsius) which is normally confined to the outer edge of the continental shelf by an oceanic front separating this water mass from colder and saltier shelf waters. In the Amundsen Sea however, the deeper parts of the continental shelf are filled with nearly undiluted CDW, which is mixed upward, delivering significant amounts of heat to the base of the floating glacier tongues and the ice shelf. The melt rate beneath the Pine Island Glacier averages ten meters of ice per year with local annual rates reaching twenty meters. By comparison, melt rates beneath the Ross Ice Shelf are typically twenty to forty centimeters of ice per year. In addition, both the Pine Island and the Thwaites Glacier are extremely fast-moving, and have a significant effect on the regional ice mass balance of West Antarctica. This project therefore has an important connection to antarctic glaciology, particularly in assessing the combined effect of global change on the antarctic environment. The particular objectives of the project are (1) to delineate the frontal structure on the continental shelf sufficiently to define quantitatively the major routes of CDW inflow, meltwater outflow, and the westward evolution of CDW influence; (2) to use the obtained data set to validate a three-dimensional model of sub-ice ocean circulation that is currently under construction, and (3) to refine the estiamtes of in situ melting on the mass balance of the antarctic ice sheet. The observational program will be carried out from the research vessel Nathaniel B. Palmer in February and March, 1999. proprietary
USArray_Ground_Temperature_1680_1.1 ABoVE: Soil Temperature Profiles, USArray Seismic Stations, 2016-2021 ORNL_CLOUD STAC Catalog 2016-05-13 2021-07-08 -165.35, 59.25, -141.59, 71 https://cmr.earthdata.nasa.gov/search/concepts/C2143403529-ORNL_CLOUD.umm_json This dataset includes soil temperature profile measurements taken at 63 monitoring sites associated with the USArray program, located across the NASA ABoVE domain in interior Alaska. The measurement dates and depths vary per site as does measurement frequency (hourly or every 6 hours). Measurements were made from the soil surface to a maximum depth of 1.5 m from 2016-2021 using temperature sensors attached to HOBO data loggers. These measurement stations complement existing temperature monitoring networks allowing for better characterization of ground temperatures and permafrost conditions across Alaska. This station data complement an existing temperature monitoring network, allowing for better characterization of ground temperatures and permafrost conditions in northern and western Alaska. The temperature measurements are provided for each site in 64 data files in comma-separated values (.csv) format. Site descriptive data are also provided for soil, vegetation, and location. proprietary
USGSPHOTOS_Not provided U.S. Geological Survey Aerial Photography USGS_LTA STAC Catalog 1937-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566204-USGS_LTA.umm_json The U.S. Geological Survey (USGS) Aerial Photography data set includes over 2.5 million film transparencies. Beginning in 1937, photographs were acquired for mapping purposes at different altitudes using various focal lengths and film types. The resultant black-and-white photographs contain less than 5 percent cloud cover and were acquired under rigid quality control and project specifications (e.g., stereo coverage, continuous area coverage of map or administrative units). Prior to the initiation of the National High Altitude Photography (NHAP) program in 1980, the USGS photography collection was one of the major sources of aerial photographs used for mapping the United States. Since 1980, the USGS has acquired photographs over project areas that require photographs at a larger scale than the photographs in the NHAP and National Aerial Photography Program collections. proprietary
USGS_DOQ_Not provided USGS Digital Orthophoto Quadrangles USGS_LTA STAC Catalog 1970-01-01 -126, 24, -66, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1220566203-USGS_LTA.umm_json A Digital Orthophoto Quadrangle (DOQ) is a computer-generated image of an aerial photograph in which the image displacement caused by terrain relief and camera tilt has been removed. The DOQ combines the image characteristics of the original photograph with the georeferenced qualities of a map. DOQs are black and white (B/W), natural color, or color-infrared (CIR) images with 1-meter ground resolution. The USGS produces three types of DOQs: 1. 3.75-minute (quarter-quad) DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Most of the U.S. is currently available, and the remaining locations should be complete by 2004. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed via File Transfer Protocol (FTP) as uncompressed files. 2. 7.5-minute (full-quad) DOQs cover an area measuring 7.5-minutes longitude by 7.5-minutes latitude. Full-quad DOQs are mostly available for Oregon, Washington, and Alaska. Limited coverage may also be available for other states. Full-quad DOQs are available in both Native and GeoTIFF formats. Native is formatted with an ASCII keyword header followed by a series of 8-bit binary image lines for B/W. DOQs in native format are cast to the UTM projection and referenced to either NAD27 or NAD83. GeoTIFF is a georeferenced Tagged Image File Format with referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W full quad is 140-150 megabytes. Full-quad DOQs are distributed via FTP as uncompressed files. 3. Seamless DOQs are available for free download from the Seamless site. DOQs on this site are the most current version and are available for the conterminous U.S. [Summary provided by the USGS.] proprietary
@@ -11876,17 +10532,6 @@ VIIRSN_L3m_SST3_2016.2 Suomi-NPP VIIRS Global Mapped Triple-window Sea Surface T
VIIRSN_L3m_SST3_NRT_2016.2 Suomi-NPP VIIRS Global Mapped Triple-window Sea Surface Temperature (SST3) - Near Real Time (NRT) Data, version 2016.2 OB_DAAC STAC Catalog 2012-01-02 -180, 90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1658475768-OB_DAAC.umm_json The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit. proprietary
VIIRSN_L3m_SST_2016.2 Suomi-NPP VIIRS Global Mapped 11µm Daytime Sea Surface Temperature (SST) Data, version 2016.2 OB_DAAC STAC Catalog 2012-01-02 -180, 90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1658475777-OB_DAAC.umm_json The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB). proprietary
VIIRSN_L3m_SST_NRT_2016.2 Suomi-NPP VIIRS Global Mapped 11µm Day/Night Sea Surface Temperature (SST) - Near Real Time (NRT) Data, version 2016.2 OB_DAAC STAC Catalog 2012-01-02 -180, 90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1658475773-OB_DAAC.umm_json The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit. proprietary
-VIIRS_N20-NAVO-L2P-v3.0_3.0 GHRSST Level 2P NAVO 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-20 satellite POCLOUD STAC Catalog 2024-02-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2847232153-POCLOUD.umm_json The VIIRS_N20-NAVO-L2P-v3.0 dataset produced by the Naval Oceanographic Office (NAVO) derives the 1-meter depth Sea Surface Temperature (SST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System (JPSS)-1 satellite, renamed as NOAA-20 (N20). N20 was launched on November 18, 2017, the 2nd satellite in the US NOAA JPSS series.
VIIRS L2P SST products are derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NAVO's Level-2 SST processor version 3.0 (v3.0). Data contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). The data record is available back to Feb. 20 2024. The L2P SST v3.0 is the first release at PO.DAAC derived from the L2P SST processor v3.0, which was upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades.
The product is comparable with the NPP VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-NAVO-L2P-v3.0) and the N21 VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_N21-NAVO-L2P-v3.0) datasets. It also has similar coverage and quality as the NOAA ACSPO VIIRS L2P SST (https://podaac.jpl.nasa.gov/dataset/N20-VIIRS-L2P-ACSPO-v2.80). proprietary
-VIIRS_N20-STAR-L2P-v2.80_2.80 GHRSST Level 2P NOAA STAR SST v2.80 from VIIRS on NOAA-20 Satellite POCLOUD STAC Catalog 2018-01-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2147478146-POCLOUD.umm_json NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS), launched on November 18, 2017. NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS). The L2P SST product is derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system, and reported in 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). SSTs are derived from Brightness Temperatures (BTs) using the Non-Linear SST (NLSST) algorithms (Petrenko et al., 2014). An ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Only ACSM confidently clear pixels are recommended (equivalent to GDS2 quality level=5). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5. The ACSPO VIIRS L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam) using another NOAA system, SST Quality Monitor (SQUAM). A reduced size (0.5GB/day), equal-angle gridded (0.02-deg resolution), ACSPO L3U product is also available at https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-STAR-L3U-v2.80, where gridded L2P SSTs with QL=5 only are reported. The v2.80 is an updated version from the v2.61 with several algorithm improvements including two added thermal front layers, reduced L2P SST data size, mitigated warm biases in the high latitudes, and improved clear-sky mask. proprietary
-VIIRS_N20-STAR-L3U-v2.80_2.80 GHRSST Level 3U NOAA STAR SST v2.80 from VIIRS on NOAA-20 Satellite POCLOUD STAC Catalog 2018-01-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2147488020-POCLOUD.umm_json NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS), launched on November 18, 2017. The ACSPO N20/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO N20/VIIRS L2P product available here https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-STAR-L2P-v2.80. The L3U output files are 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 0.5GB/day. Fill values are reported at all invalid pixels, including pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, a subset of l2p_flags (including day/night, land, ice, twilight, and glint flags), wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://www.doi.org/10.5067/GHCMC-4FM03). Only L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data in SQUAM. The v2.80 is an updated version from the v2.61 with several L2P algorithm improvements including two added thermal front layers, mitigated warm biases in the high latitudes, and improved clear-sky mask. proprietary
-VIIRS_N21-NAVO-L2P-v3.0_3.0 GHRSST Level 2P NAVO 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the NOAA-21 satellite POCLOUD STAC Catalog 2024-02-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2847232536-POCLOUD.umm_json The VIIRS_N21-NAVO-L2P-v3.0 dataset produced by the Naval Oceanographic Office (NAVO) derives the 1-meter depth Sea Surface Temperature (SST) from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System (JPSS)-2 satellite, renamed as NOAA-21 (N21). N21 was launched on November 10, 2022, the 3rd satellite in the US NOAA JPSS series.
VIIRS L2P SST products are derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NAVO's Level-2 SST processor version 3.0 (v3.0). Data contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). The data record is available back to Feb. 21 2024. The L2P SST v3.0 is the first release at PO.DAAC derived from the L2P SST processor v3.0, which was upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades.
The product is comparable with the NPP VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-NAVO-L2P-v3.0) and the N20 VIIRS L2P (https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-NAVO-L2P-v3.0). It also has similar coverage and quality as the NOAA ACSPO VIIRS L2P SST (https://podaac.jpl.nasa.gov/dataset/N21-VIIRS-L2P-ACSPO-v2.80). proprietary
-VIIRS_NPP-JPL-L2P-v2016.2_2016.2 GHRSST Level 2P Global Sea Surface Skin Temperature from the Visible and Infrared Imager/Radiometer Suite (VIIRS) on the Suomi-NPP satellite (GDS2) POCLOUD STAC Catalog 2011-11-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996881456-POCLOUD.umm_json These files contain NASA produced skin sea surface temperature (SST) products from the Infrared (IR) channels of the Visible and Infrared Imager/Radiometer Suite (VIIRS) onboard the Suomi-NPP satellite. VIIRS is a multi-disciplinary instrument that is also being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, of which NOAA-20 is the first. JPSS is a multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). Suomi-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data. VIIRS has 22 spectral bands ranging from 412 nm to 12 micron . There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375 m), and one day-night band (DNB). VIIRS uses on-board pixel aggregation to reduce the growth in size of pixels away from nadir. Two SST products are contained in these files. The first is a skin SST produced separately for day and night observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST products from heritage and current NASA sensors. At night, a second triple channel SST product is generated using the 3.7 , 11 and 12 micron IR channels, identified as SST_triple. Due to the sun glint in the 3.7 micron SST_triple can only be used at night. VIIRS L2P SST data have a 750 spatial resolution at nadir and are stored in ~288 five minute granules per day. Full global coverage is obtained each day. The production of VIIRS NASA L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS were responsible for sea surface temperature algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of VIIRS ocean products. JPL acquires VIIRS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. In mid-August, 2018, the RSMAS involvement in the VIIRS SST project ceased, and the subsequent fields are not maintained.The R2016.2 supersedes the previous v2016.0 datasets which can be found at https://doi.org/10.5067/GHVRS-2PN16 proprietary
-VIIRS_NPP-NAVO-L2P-v1.0_1.0 GHRSST Level 2P 1 m Depth Global Sea Surface Temperature from VIIRS on Suomi NPP (GDS2) V1 POCLOUD STAC Catalog 2013-05-20 2016-02-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996881807-POCLOUD.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) satellite launched on 28 October 2011. The VIIRS instrument is a a 22-band, multi-spectral scanning radiometer with a 3040-km swath width that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 740 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. However, the processing of this dataset aggregates two pixels into one so the resolution is 1500 meters at nadir. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary
-VIIRS_NPP-NAVO-L2P-v2.0_2.0 GHRSST Level 2P 1 m Depth Global Sea Surface Temperature from VIIRS on Suomi NPP (GDS2) V2 POCLOUD STAC Catalog 2016-02-25 2018-02-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036881016-POCLOUD.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) satellite launched on 28 October 2011. The VIIRS instrument is a a 22-band, multi-spectral scanning radiometer with a 3040-km swath width that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 740 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. However, the processing of this dataset aggregates two pixels into one so the resolution is 1500 meters at nadir. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary
-VIIRS_NPP-NAVO-L2P-v3.0_3.0 GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS2) POCLOUD STAC Catalog 2018-01-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996881636-POCLOUD.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth. The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades. It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary
-VIIRS_NPP-STAR-L2P-v2.80_2.80 GHRSST Level 2P NOAA STAR SST v2.80 from VIIRS on S-NPP Satellite POCLOUD STAC Catalog 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2147480877-POCLOUD.umm_json The Joint Polar Satellite System (JPSS), starting with S-NPP launched on 28 October 2011, is the new generation of the US Polar Operational Environmental Satellites (POES). NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS). The L2P SST product is derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system, and reported in 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). SSTs are derived from Brightness Temperatures (BTs) using the Non-Linear SST (NLSST) algorithms (Petrenko et al., 2014). An ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Only ACSM confidently clear pixels are recommended (equivalent to GDS2 quality level=5). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5. The ACSPO VIIRS L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam) using another NOAA system, SST Quality Monitor (SQUAM). A reduced size (0.5GB/day), equal-angle gridded (0.02-deg resolution), ACSPO L3U product is also available at https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-STAR-L3U-v2.80, where gridded L2P SSTs with QL=5 only are reported. The v2.80 is an updated version from the v2.61 with several algorithm improvements including two added thermal front layers, reduced L2P SST data size, mitigated warm biases in the high latitudes, and improved clear-sky mask. proprietary
-VIIRS_NPP-STAR-L3U-v2.80_2.80 GHRSST Level 3U NOAA STAR SST v2.80 from VIIRS on S-NPP Satellite POCLOUD STAC Catalog 2012-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2147485059-POCLOUD.umm_json The Joint Polar Satellite System (JPSS), starting with S-NPP launched on 28 October 2011, is the new generation of the US Polar Operational Environmental Satellites (POES). The ACSPO SNPP/VIIRS L3U (Level 3 Uncollated) product is a gridded version of the ACSPO NPP/VIIRS L2P product available here https://podaac.jpl.nasa.gov/dataset/VIIRS_NPP-STAR-L2P-v2.80 . The L3U output files are 10-minute granules in netCDF4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 0.5GB/day. Fill values are reported at all invalid pixels, including pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, a subset of l2p_flags (including day/night, land, ice, twilight, and glint flags), wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://www.doi.org/10.5067/GHCMC-4FM03). Only L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data in SQUAM. The v2.80 is an updated version from the v2.61 with several L2P algorithm improvements including two added thermal front layers, mitigated warm biases in the high latitudes, and improved clear-sky mask. proprietary
-VIIRS_SST_NPP_NAR-OSISAF-L3C-v1.0_1 GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS (GDS V2) produced by OSI SAF POCLOUD STAC Catalog 2013-11-11 2020-11-20 -76.02, 13.59, 72.97, 78.24 https://cmr.earthdata.nasa.gov/search/concepts/C2036878808-POCLOUD.umm_json A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the North Atlantic Region (NAR) based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2. proprietary
VIIRS_Val_FLKeys_0 VIIRS validation measurements made in the Florida Keys OB_DAAC STAC Catalog 2016-03-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360693-OB_DAAC.umm_json Measurements made in the Florida Keys as part of efforts to Validate the VIIRS instrument. proprietary
VIIRS_Validation_0 VIIRS Validation measurements OB_DAAC STAC Catalog 2014-05-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360694-OB_DAAC.umm_json VIIRS Validation measurements. proprietary
VIMS_2005_0 Virginia Institute of Marine Science 2005 optical measurements OB_DAAC STAC Catalog 2005-07-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360695-OB_DAAC.umm_json Measurements made along the York River by the Virginia Institute of Marine Science. proprietary
@@ -12230,7 +10875,6 @@ Vision-1.full.archive.and.tasking_NA Vision-1 full archive and tasking ESA STAC
Vulcan_V3_Annual_Emissions_1741_1 Vulcan: High-Resolution Annual Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3 ORNL_CLOUD STAC Catalog 2010-01-01 2016-01-01 -165.21, 22.86, -65.31, 73.75 https://cmr.earthdata.nasa.gov/search/concepts/C2517350332-ORNL_CLOUD.umm_json The Vulcan version 3.0 annual dataset provides estimates of annual carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the State of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Data are gridded annually on a 1-km grid for the years 2010 to 2015. These data are annual sums of hourly estimates. Also provided are estimates of the upper 95% confidence interval and the lower 95% confidence interval boundaries for each emission estimate. For each uncertainty level, there are 10 individual sector files and one total file. These data are designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications. proprietary
Vulcan_V3_Hourly_Emissions_1810_1 Vulcan: High-Resolution Hourly Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3 ORNL_CLOUD STAC Catalog 2010-01-01 2016-01-01 -165.21, 22.86, -65.31, 73.75 https://cmr.earthdata.nasa.gov/search/concepts/C2516155224-ORNL_CLOUD.umm_json The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available. Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications. proprietary
WACS2_0 Western Atlantic Climate Study II OB_DAAC STAC Catalog 2014-05-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360697-OB_DAAC.umm_json Sea spray aerosol (SSA) impacts the Earth’s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models.Sea spray aerosol (SSA) impacts the Earth’s radiation budget indirectly by altering cloud properties including albedo, lifetime, and extent, and directly by scattering solar radiation. Characterization of the properties of SSA in its freshly emitted state is needed for accurate model calculations of climate impacts. In addition, simultaneous measurements of surface seawater are required to assess the impact of ocean properties on sea spray aerosol and to develop accurate parameterizations of the SSA number production flux for use in regional and global scale models. proprietary
-WAF_DEALIASED_SASS_L2_1 SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Wentz et al.) POCLOUD STAC Catalog 1978-07-07 1978-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617197640-POCLOUD.umm_json Contains Seasat-A Scatterometer (SASS) wind vector measurements for the entire Seasat mission, from July 1978 until October 1978. The data are global and presented chronologically in by swath. Each record contains data binned in 100 km cells. No wind vectors are computed for the cells along the left and right edges of the swath. Wind direction ambiguities are resolved using a global weather prediction model. This complete dataset is the result of the reprocessing efforts on behalf of Frank Wentz, Robert Atlas, and Michael Freilich. proprietary
WATVP_D3_VIIRS_SNPP_1 VIIRS/SNPP Water Vapor Level-3 daily 0.5 x 0.5 degree grid LAADS STAC Catalog 2012-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1682045802-LAADS.umm_json The VIIRS/SNPP Water Vapor Level-3 daily 0.5 x 0.5 degree grid Product provide total column water vapor (TPW) properties from merged VIIRS infrared measurements and Cross-track Infrared Sounder (CrIS) plus Advanced Technology Microwave Sounder (ATMS) water vapor soundings to continue the depiction of global moisture at a higher spatial resolution started with MODIS on the Terra and Aqua platforms. Level-3 global 0.5 degree by 0.5 degree spatial resolution daily mean data products (called WATVP_D3_VIIRS_SNPP) is derived by using a gridding software (called Yori) developed at the University of Wisconsin, Madison, Space Science and Engineering Center (Veglio et al., 2018), and implemented by the NASA VIIRS Atmosphere Science Investigator-led Processing System (SIPS). The Yori has been adapted for the VIIRS TPW products and is processed using the VIIRS Level-2 Water Vapor products (WATVP_L2_VIIRS_SNPP) separated by day and night. The mean and the standard deviation of each Level-2 water vapor product are calculated for each grid cell. The sum, the square of the sum of each product, and the number of pixels in the cells are also stored in the Level-3 (daily) output files for further aggregation purposes. proprietary
WATVP_L2_VIIRS_SNPP_1 VIIRS/SNPP Level-2 Water Vapor Products 6-min Swath 750m LAADS STAC Catalog 2012-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1681179895-LAADS.umm_json The Suomi NPP VIIRS Water Vapor Products provide total column water vapor (TPW) properties from merged VIIRS infrared measurements and CrIS plus ATMS water vapor soundings to continue the depiction of global moisture at high spatial resolution started with MODIS on the Terra and Aqua platforms. While MODIS has two water vapor channels within the 6.5 μm H2O absorption band and four channels within the 15 micrometer CO2 absorption band, VIIRS has no channels in either IR absorption band. The VNPWATVP algorithm is similar to the MODIS MOD07 synthetic regression algorithm. It uses the three VIIRS longwave IR window bands in a regression relation and adds the NUCAPS (CrIS+ATMS) water vapor product to compensate for the absence of VIIRS water vapor channels. The Level-2 6-minute granule and 750 m spatial resolution VIIRS TPW product file includes the collocated NUCAPS background TPW, the VIIRS-only TPW, and VIIRS+NUCAPS TPW retrievals with quality flags. proprietary
WATVP_M3_VIIRS_SNPP_1 VIIRS/SNPP Water Vapor Level-3 monthly 0.5 x 0.5 degree grid LAADS STAC Catalog 2012-05-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1682050863-LAADS.umm_json The VIIRS/SNPP Water Vapor Level-3 monthly 0.5 x 0.5 degree grid Product provide total column water vapor (TPW) properties from merged VIIRS infrared measurements and Cross-track Infrared Sounder (CrIS) plus Advanced Technology Microwave Sounder (ATMS) water vapor soundings to continue the depiction of global moisture at a higher spatial resolution started with MODIS on the Terra and Aqua platforms. Level-3 global 0.5 degree by 0.5 degree spatial resolution daily mean data products (called WATVP_M3_VIIRS_SNPP) is derived by using a gridding software (called Yori) developed at the University of Wisconsin, Madison, Space Science and Engineering Center (Veglio et al., 2018), and implemented by the NASA VIIRS Atmosphere Science Investigator-led Processing System (SIPS). The Yori has been adapted for the VIIRS TPW products and is processed using the VIIRS Level-2 Water Vapor products (WATVP_L2_VIIRS_SNPP) separated by day and night. The mean and the standard deviation of each Level-2 water vapor product are calculated for each grid cell. The sum, the square of the sum of each product, and the number of pixels in the cells are also stored in the Level-3 (monthly) output files for further aggregation purposes. proprietary
@@ -12243,11 +10887,8 @@ WBD_Planarians_1 Marine Planarians of the World - World Biodiversity Database CD
WC_LSMEM_SOILM_025_001 AMSR-E/Aqua surface soil moisture (LSMEM) L3 1 day 0.25 degree x 0.25 degree V001 (WC_LSMEM_SOILM_025) at GES DISC GES_DISC STAC Catalog 2002-06-19 2011-09-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1242287803-GES_DISC.umm_json AMSR-E/Aqua surface soil moisture (LSMEM) L3 1 day 0.25 degree x 0.25 degree V001 is a global, 10-year (2002-2011) data set. It is created from soil moisture retrieved from passive microwave brightness temperatures measured by the 10.65 and 36.5 GHz radiometers on the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) sensor on the NASA Aqua satellite. The retrieval algorithm is based on Princeton's Land Surface Microwave Emission Model (LSMEM), a physically-based radiative transfer model, and serves as the core algorithm in the estimation procedure. To retrieve surface soil moisture, two unknowns, the soil moisture and the effective vegetation optical depth, are simultaneously solved from two radiative transfer equations in LSMEM, one for the 10.65 GHz horizontally-polarized brightness temperature and the other for the 10.65 GHz vertically-polarized brightness temperature. The land surface temperature required in the estimation procedure is estimated from the 36.5 GHz vertically-polarized brightness temperature, using a regression relationship. This soil moisture product does not include areas covered by snow, so the snow model is not described. Also, the atmosphere is assumed to have constant brightness temperatures; therefore, the atmosphere model is also not described. proprietary
WC_MULTISEN_PREC_025_001 TMI/TRMM precipitation and uncertainty (TMPA) L3 3 hour 0.25 degree x 0.25 degree V001 (WC_MULTISEN_PREC_025) at GES DISC GES_DISC STAC Catalog 1998-01-01 2010-12-31 -180, -50, 180, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1242287793-GES_DISC.umm_json TMI/TRMM precipitation and uncertainty (TMPA) L3 3 hour 0.25 degree x 0.25 degree V001 provides estimates of accumulated precipitation from the Tropical Rainfall Measuring Mission (TRMM) and Other Data Precipitation Data Set (TRMM 3B42; Huffman et al., 2007), along with estimates of the uncertainty in the TRMM 3B42 made by Bytheway and Kummerow (2013). The data set covers both ocean and land from 50 degree North to 50 degree South. proprietary
WC_PM_ET_050_1 SRB/GEWEX evapotranspiration (Penman-Monteith) L4 3 hour 0.5 degree x 0.5 degree V1 (WC_PM_ET_050) at GES DISC GES_DISC STAC Catalog 1984-01-01 2007-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1371013470-GES_DISC.umm_json SRB/GEWEX evapotranspiration (Penman-Monteith) L4 3 hour 0.5 degree x 0.5 degree V1 is a global, 24-year (1984-2007), satellite-derived evapotranspiration over land data set. It is based on the Penman-Monteith model. Evapotranspiration provides the critical link between the water and energy cycles within the Earth system. Better representation of the spatial distribution and temporal development of surface evapotranspiration is needed not only to improve the description of water vapor exchanges for global water budget estimation but also to advance our understanding of the climate system. Input data sets include (1) vegetation index data, i.e., Leaf Area Index (LAI), derived from the Advanced Very High Resolution Radiometer (AVHRR) sensors onboard the NOAA-7, NOAA-9, NOAA-11, NOAA-14, and NOAA-16 satellites and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the EOS-Terra and EOS-Aqua satellites; (2) meteorology data from the latest version of the Princeton University global forcing data sets and from the Variable Infiltration Capacity (VIC) land surface model output; and (3) radiative data from the NASA Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget Project. proprietary
-WENTZ_NIMBUS-7_SMMR_L2_1 NIMBUS-7 SMMR GLOBAL AIR-SEA PARAMETERS IN SWATH (Wentz) POCLOUD STAC Catalog 1979-11-01 1984-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617197620-POCLOUD.umm_json Contains three parameters: ocean near-surface wind speed, columnar water vapor, and columnar liquid water. Product is produced by Frank Wentz at Remote Sensing Systems using data obtained from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR). Observations within 100 km of land are excluded; ice flags are also utilized. Data is obtained from all 10 individual SMMR channels, which closely correspond to the SMM/I channels and utilizing the same processing algorithms that were used to produce similar products derived from SSM/I observations (see PO.DAAC products 33 and 34). proprietary
-WENTZ_SASS_SIGMA0_L2_1 SEASAT SCATTEROMETER BINNED 50KM SIGMA-0 DATA (Wentz) POCLOUD STAC Catalog 1978-07-07 1978-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617197621-POCLOUD.umm_json Contains Seasat-A Scatterometer (SASS) Sigma-0 measurements for the entire Seasat mission, from July 1978 until October 1978, produced by Frank Wentz at Remote Sensing Systems. The data are presented chronologically by swath and consist of the forward and aft values, binned in 50 km cells. For each cell there are 17 parameters including time, location, incidence angle, sigma-0, instrument corrections, and data quality. proprietary
WHITECAPS_0 Influence of Whitecaps on Aerosol and Ocean-Color Remote Sensing OB_DAAC STAC Catalog 2011-02-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360700-OB_DAAC.umm_json The influence of whitecaps on ocean color and aerosol remote sensing from space were invistigated onboard the R/V Melville (MV1102) from Cape Town, South Africa to Valparaiso, Chile from February 2, 2011 to March 14, 2011. Satellite imagery has revealed relatively large amounts of aerosols and particulate organic and inorganic carbon in the Southern oceans, but it is not clear whether this is real or the result of not taking into account properly whitecap effects in the retrieval algorithms. By measuring whitecap optical properties and profiles of marine reflectance and backscattering and absorption coefficients, a bulk whitecap reflectance model will be developed. The measurements will allow comparisons of the aerosol optical thickness and marine reflectance one should retrieve (i.e., in the absence of whitecaps and bubbles) with the satellite-derived estimates. The parameters/variables that will be measured include whitecap coverage, surface reflectance, aerosol optical thickness, in situ profiles of marine reflectance, backscattering and attenuation coefficients, and particle size distribution, and absorption and backscattering coefficients and HPLC pigments from water samples. The backscattering and absorption measurements from water samples will characterize conditions without whitecaps. Cruise information can be found in the R2R repository: https://www.rvdata.us/search/cruise/MV1102. proprietary
WILKS_2018_Chatham_sedimenttraps_specieslist_3 Diatom and coccolithophore assemblages from archival sediment trap samples of the Subtropical and Subantarctic Southwest Pacific AU_AADC STAC Catalog 1996-06-17 1997-05-07 174.90234, -45.39845, 179.73633, -40.71396 https://cmr.earthdata.nasa.gov/search/concepts/C1459701888-AU_AADC.umm_json "This spreadsheet contains species lists and counts from four sediment trap records. The sediment traps were deployed for ~1 year north and south of the Chatham Rise, New Zealand, between 1996 and 1997. Sheets 1a and 1b refer to North Chatham Rise (NCR). 1a = the 300m trap. 1b = the 1000m trap. Sheets 2a and 2b are for the South Chatham Rise traps (SCR). 2a= 300m, 2b= 1000m. Counting was undertaken on 1/16th splits. Material was cleaned of organics before diatom counting under light microscopy. Coccolith counting on uncleaned material was only undertaken at the 300m traps. Radiolarians and silicoflagellates were counted but not identified. Diatoms and coccoliths were counted along non-overlapping transects until 300 specimens had been counted per sample, or until 10 transects had been made. This dataset includes counts of diatom, coccolithophores, radiolarians and silicoflagellates for four sediment trap records- North Chatham Rise (NCR) and South Chatham Rise (SCR) at two trap depths each (300 m and 1000 m). It is intended as supplementary material to Wilks et al. 2018 (submitted) ""Diatom and coccolithophore assemblages from archival sediment trap samples of the Subtropical and Subantarctic Southwest Pacific."" Numbers are raw count per sample cup. Authorities are given. Coordinates of traps given in degrees, minutes and seconds." proprietary
-WIND_3DP_Not provided 3-D Plasma and Energetic Particle Investigation on WIND SCIOPS STAC Catalog 1994-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214615352-SCIOPS.umm_json The main purpose of the Wind spacecraft is to measure the incoming solar wind, magnetic fields and particles, although early on it will also observe the Earth's foreshock region. Wind, together with Geotail, Polar, SOHO, and Cluster projects, constitute a cooperative scientific satellite project designated the International Solar Terrestrial Physics (ISTP) program which aims at gaining improved understanding of the physics of solar terrestrial relations. This experiment is designed to measure the full three-dimensional distribution of suprathermal electrons and ions at energies from a few eV to over several hundred keV on the WIND spacecraft. Its high sensitivity, wide dynamic range, and good energy and angular resolution make it especially capable of detecting and characterizing the numerous populations of particles that are present in interplanetary space at energies above the bulk of the solar wind particles and below the energies typical of most cosmic rays. Data consists of ion moments, energy spectra, electron spectra, electron and ion omni directional energy spectra. Data are available from SSL at University of California, Berkeley (http://sprg.ssl.berkeley.edu/wind3dp/esahome.html) and at the NSSDC CDAWeb (http://cdaweb.gsfc.nasa.gov/cdaweb/) proprietary
WISPMAWSON04-05_1 A GIS dataset of Wilson's storm petrel nests mapped in the Mawson region during the 2004-2005 season AU_AADC STAC Catalog 2004-12-10 2005-04-25 62.18384, -67.68587, 63.40759, -67.47282 https://cmr.earthdata.nasa.gov/search/concepts/C1214314124-AU_AADC.umm_json Very little information is known about the distribution and abundance of Wilson's storm petrels at the regional and local scales. This dataset contains locations of Wilson's storm petrel nests, mapped in the Mawson region during 2004-2005 season. Location of nests were recorded with handheld Trimble Geoexplorer GPS receivers, differentially corrected and stored as an Arcview point shapefile(ESRI software). Descriptive information relating to each bird nest was recorded and a detailed description of data fields is provided in description of the shapefile. A text file also provide the attribute information (formatted for input into R statistical software). This work has been completed as part of ASAC project 2704 (ASAC_2704). Fields recorded Species Activity Type Entrances Slope Remnants Latitude Longitude Date Snow Eggchick Cavitysize Cavitydepth Distnn Substrate Comments SitedotID Aspect Firstfred proprietary
WLDAS_NOAHMP001_DA1_D1.0 WLDAS Noah-MP 3.6 Land Surface Model L4 Daily 0.01 degree x 0.01 degree Version D1.0 (WLDAS_NOAHMP001_DA1) at GES DISC GES_DISC STAC Catalog 1979-01-02 -124.925, 25.065, -89.025, 52.925 https://cmr.earthdata.nasa.gov/search/concepts/C2789781977-GES_DISC.umm_json The Western Land Data Assimilation System (WLDAS), developed at Goddard Space Flight Center (GSFC) and funded by the NASA Western Water Applications Office, provides water managers and stakeholders in the western United States with a long-term record of near-surface hydrology for use in drought assessment and water resources planning. WLDAS leverages advanced capabilities in land surface modeling and data assimilation to furnish a system that is customized for stakeholders’ needs in the region. WLDAS uses NASA’s Land Information System (LIS) to configure and drive the Noah Multiparameterization (Noah-MP) Land Surface Model (LSM) version 3.6 to simulate land surface states and fluxes. WLDAS uses meteorological observables from the North American Land Data Assimilation System (NLDAS-2) including precipitation, incoming shortwave and longwave radiation, near surface air temperature, humidity, wind speed, and surface pressure along with parameters such as vegetation class, soil texture, and elevation as inputs to a model that simulates land surface energy and water budget processes. Outputs of the model include soil moisture, snow depth and snow water equivalent, evapotranspiration, soil temperature, as well as derived quantities such as groundwater recharge and anomalies of the state variables. proprietary
WOCE91_Chlorophyll_1 Chlorophyll a data collected on the 1991 WOCE voyage of the Aurora Australis AU_AADC STAC Catalog 1991-10-08 1991-10-26 136.393, -62.294, 154.937, -45.183 https://cmr.earthdata.nasa.gov/search/concepts/C1214314037-AU_AADC.umm_json Chloropyll a data were collected along the WOCE transect on voyage 1 of the Aurora Australis, during October of 1991. These data were collected as part of ASAC project 40 (The role of antarctic marine protists in trophodynamics and global change and the impact of UV-B on these organisms). proprietary
@@ -12256,10 +10897,15 @@ WOV_PRYDZ_BIRD_COMMUNITIES_1 Community composition of seabirds in the Prydz Bay
WRF_STILT_Footprints_Boston_1572_1 WRF-STILT Gridded Footprints for Boston, MA, USA, 2013-2014 ORNL_CLOUD STAC Catalog 2013-07-01 2014-12-31 -169.5, 10.5, -50.5, 69.5 https://cmr.earthdata.nasa.gov/search/concepts/C2517698238-ORNL_CLOUD.umm_json "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the ""receptor"" location), to create the adjoint of the transport model in the form of a ""footprint"" field. The footprint, with units of mixing ratio, quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume." proprietary
WRF_STILT_Particles_Boston_1596_1 WRF-STILT Particle Trajectories for Boston, MA, USA, 2013-2014 ORNL_CLOUD STAC Catalog 2013-07-01 2014-12-31 -81.78, 34.51, -65.93, 49.19 https://cmr.earthdata.nasa.gov/search/concepts/C2517667717-ORNL_CLOUD.umm_json "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data and footprint products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. Meteorological fields from version 3.6.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the ""receptor"" location), to create the adjoint of the transport model in the form of a ""footprint"" field. The footprint, with units of mixing ratio (ppm) per surface flux (umol m-2 s-1), quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. Footprints are provided for the two receptors at two temporal and spatial scales: three days of surface influence over the whole North American coverage area at 1-degree resolution and 24 hours of surface influence within a smaller region close to the measurement locations ('near field') at 0.1-degree resolution." proprietary
WUS_UCLA_SR_1 Western United States UCLA Daily Snow Reanalysis V001 NSIDC_ECS STAC Catalog 1984-10-01 2021-09-30 -125, 31, -102, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2253727823-NSIDC_ECS.umm_json This Western United States snow reanalysis data set contains daily estimates of posterior snow water equivalent (SWE), fractional snow-covered area (fSCA) and snow depth (SD) at 16 arc-second (~500 m) resolution from water years 1985 to 2021. This data set was developed to be compared to SnowEx data sets but its utility reaches beyond that since its spatial and temporal bounds extend over the entire Western U.S. and over several decades. proprietary
+WV01_Pan_L1B_1 WorldView-1 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2007-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.umm_json The WorldView-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Panchromatic imagery is collected by the DigitalGlobe WorldView-1 satellite using the WorldView-60 camera across the global land surface from September 2007 to the present. Data have a spatial resolution of 0.5 meters at nadir and a temporal resolution of approximately 1.7 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
+WV02_MSI_L1B_1 WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery CSDA STAC Catalog 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.umm_json The WorldView-2 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. It has a spatial resolution of 1.85m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
+WV02_Pan_L1B_1 WorldView-2 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.umm_json The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
+WV03_MSI_L1B_1 WorldView-3 Level 1B Multispectral 8-Band Satellite Imagery CSDA STAC Catalog 2014-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497111771-CSDA.umm_json The WorldView-3 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This satellite imagery is in a range of wavebands with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. The imagery has a spatial resolution of 1.24m at nadir and a temporal resolution of less than one day. The data are provided in National Imagery Transmission Format (NITF). This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
+WV03_Pan_L1B_1 WorldView-3 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2014-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497431983-CSDA.umm_json The WorldView-3 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This imagery has a spatial resolution of 0.31m at nadir and a temporal resolution of less than one day. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
+WV03_SWIR_L1B_1 WorldView-3 Level 1B Shortwave Infrared 8-Band Satellite Imagery CSDA STAC Catalog 2014-08-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497415947-CSDA.umm_json The WorldView-3 Level 1B Shortwave Infrared 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-3 satellite using the WorldView-110 camera across the global land surface from August 2014 to the present. This data product includes 8 shortwave infrared bands. The spatial resolution is 3.7m at nadir and the temporal resolution is less than one day. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. proprietary
+WV04_MSI_L1B_1 WorldView-4 Level 1B Multispectral 4-Band Satellite Imagery CSDA STAC Catalog 2016-12-01 2019-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497446902-CSDA.umm_json The WorldView-4 Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe WorldView-4 satellite using the SpaceView-110 camera across the global land surface from December 2016 to January 2019. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The multispectral imagery has a spatial resolution of 1.24m at nadir and has a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a Maxar End User License Agreement for Worldview 4 imagery and investigators must be approved by the CSDA Program. proprietary
+WV04_Pan_L1B_1 WorldView-4 Level 1B Panchromatic Satellite Imagery CSDA STAC Catalog 2016-12-01 2019-01-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497439327-CSDA.umm_json The WorldView-4 Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe WorldView-4 satellite using the WorldView-110 camera across the global land surface from December 2016 to January 2019. This data product includes panchromatic imagery with a spatial resolution of 0.31m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a Maxar End User License Agreement for Worldview 4 imagery and investigators must be approved by the CSDA Program. proprietary
WV_LCC_SC_FSCA_1 Land Cover Classification, Snow Cover, and Fractional Snow-Covered Area Maps from Maxar WorldView Satellite Images V001 NSIDC_ECS STAC Catalog 2015-05-20 2019-05-05 -121.203708, 38.867847, -108.032283, 48.672717 https://cmr.earthdata.nasa.gov/search/concepts/C2695676729-NSIDC_ECS.umm_json This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from WorldView-2 and WorldView-3 stereo panchromatic and multispectral images; (2) binary snow maps derived from the land cover maps; and (3) 30 m and 465 m fractional snow-covered area (fSCA) maps, produced via downsampling of the binary snow maps. The land cover classification maps feature between three and six classes common to mountainous regions and integral for accurate stereo snow depth mapping: illuminated snow, shaded snow, vegetation, exposed surfaces, surface water, and clouds. Also included are Landsat and MODSCAG fSCA map products. The source imagery for these data are the Maxar WorldView-2 and Maxar WorldView-3 Level-1B 8-band multispectral images, orthorectified and converted to top-of-atmosphere reflectance. These Level-1B images are available under the NGA NextView/EnhancedView license. proprietary
-WYGISC_HYDRO100K_Not provided 1:100,000-scale Hydrography for Wyoming (enhanced DLGs) SCIOPS STAC Catalog 1970-01-01 -111.36555, 40.944794, -103.783806, 44.99391 https://cmr.earthdata.nasa.gov/search/concepts/C1214614313-SCIOPS.umm_json The purpose of this data layer was to provide a base layer of water features at a statewide level for riparian/aquatic species distribution modeling for the Wyoming Gap Analysis project. However the data may also be used for a variety of other natural resources management/biological studies at the appropriate scale. Hydrographic features for Wyoming at 1:100,000-scale, including perennial and intermittent designations and Strahler stream order attributes for streams. Does not include man-made ditches, canals and aqueducts. The data was originally produced by USGS, a Digital Line Graph (DLG) product, though this product was enhanced (edgematched, some linework and attributes corrected, stream order attribute added). A subset of this dataset is also available for distribution, including only major streams (order 4 to 7) and major lakes and reservoirs. In order to reduce the size of this subset, the line segments were dissolved to remove unncessary segments. Both datasets are available in Arc export file and shapefile format for download Statewide and tiled data: there is one export file, which when imported into ARC/INFO, will contain one coverage with both polygon (lakes, reservoirs) and line (streams) topology and two feature attribute files (.PAT and .AAT) along with three additional attribute files containing descriptive information. In shapefile format, there will be two shapefiles (polygons and lines separated), with all attribute files in Dbase format. proprietary
-WYGISC_HYDRO24K_Not provided 1:24,000-scale Hydrography for ortions Wyoming, various sources SCIOPS STAC Catalog 1967-01-01 1971-12-31 -111, 41, -104, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1214614312-SCIOPS.umm_json "The purpose of this data layer is to provide a base layer of hydrography at the watershed scale for GIS display and analysis. The hydrography described by this metadata, including streams, lakes, reservoirs and"" ditches, came from three different sources, all at 1:24,000-scale:"" -USGS Digital Line Graphs -USFS Cartographic Feature File -digitized by Wyoming Water Resources Center off of paper topographic maps" proprietary
-WYGISC_LANDUSE_Not provided Agricultural Land Use of Wyoming SCIOPS STAC Catalog 1980-01-01 1982-12-31 -111.09, 40.95, -103.88, 45.107 https://cmr.earthdata.nasa.gov/search/concepts/C1214614317-SCIOPS.umm_json The purpose of this data layer is to provide a digital layer showing areas of agriculture and agricultural chemical use in Wyoming. This layer was designed to be applied in the Wyoming Ground-Water Vulnerability Mapping Project. This dataset represents croplands of Wyoming as interpreted from 1:58,200-scale National High Altitude Program (NHAP) color infrared aerial photography. The photos, which were taken in 1980-1982, were interpreted and land use designations were hand-drawn onto plots produced at the same scale as the photos, using a light table. The plots were then digitized as polygons into ARC/INFO 7.0.2. Valid polygons include irrigated croplands, non-irrigated croplands, urban lands, golf-courses, and non-agricultural lands. Golf courses boundaries, which have changed recently, were later updated with 1994 NAPP photos. proprietary
WaterBalance_Daily_Historical_GRIDMET_1.5 Daily Historical Water Balance Products for the CONUS LPCLOUD STAC Catalog 1980-01-01 2023-12-31 -131.70607, 21.115301, -60.530453, 55.457306 https://cmr.earthdata.nasa.gov/search/concepts/C2674694066-LPCLOUD.umm_json This dataset provides daily historical Water Balance Model outputs from a Thornthwaite-type, single bucket model. Climate inputs to the model are from GridMet daily temperature and precipitation for the Continental United States (CONUS). The Water Balance Model output variables include the following: Potential Evapotranspiration (PET, mm), Actual Evapotranspiration (AET, mm), Moisture Deficit (Deficit, mm), Soil Water (soilwater, mm), Runoff (mm), Rain (mm), and Accumulated Snow Water Equivalent (accumswe, mm). The dataset covers the period from January 1 to December 31 for years 1980 through 2023 for the CONUS. Water Balance Model variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format. proprietary
WaterBalance_Monthly_Historical_GRIDMET_1.5 Monthly Historical Water Balance Products for the CONUS LPCLOUD STAC Catalog 1980-01-01 2023-12-31 -131.70607, 21.115301, -60.530453, 55.457306 https://cmr.earthdata.nasa.gov/search/concepts/C2674700048-LPCLOUD.umm_json This dataset provides daily historical Water Balance Model outputs from a Thornthwaite-type, single bucket model. Climate inputs to the model are from GridMet daily temperature and precipitation for the Continental United States (CONUS). The Water Balance Model output variables include the following: Potential Evapotranspiration (PET, mm), Actual Evapotranspiration (AET, mm), Moisture Deficit (Deficit, mm), Soil Water (soilwater, mm), Runoff (mm), Rain (mm), and Accumulated Snow Water Equivalent (accumswe, mm). The dataset covers the period from January 1 to December 31 for years 1980 through 2023 for the CONUS. Water Balance Model variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format. proprietary
WebbRosenzweig_548_1 Global Soil Texture and Derived Water-Holding Capacities (Webb et al.) ORNL_CLOUD STAC Catalog 1950-01-01 1996-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216863033-ORNL_CLOUD.umm_json A standardized global data set of soil horizon thicknesses and textures (particle size distributions). proprietary
@@ -12279,7 +10925,6 @@ Wildfires_NWT_Canada_1548_1 ABoVE: Burn Severity, Fire Progression, and Field Da
Wildfires_NWT_Canada_2018_1703_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2018 ORNL_CLOUD STAC Catalog 2018-08-12 2018-08-22 -117.43, 60.45, -113.42, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2143403376-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics and biophysical data collected in 2018 from areas that were burned by wildfire in 2014 and 2015, and from nine unburned validation sites in the Northwest Territories, Canada. The data include vegetation inventories, ground cover, regrowth, tree diameter and height, and woody seedling/sprouting data at burned sites, and similar vegetation community characterization at unburned validation sites. Additional measurements included soil moisture, collected for validation of the UAVSAR airborne collection, and depth to frozen ground at the nine unburned sites. This 2018 fieldwork completes four years of field sampling at the wildfire areas. proprietary
Wildfires_NWT_Canada_2019_1900_1 ABoVE: Post-Fire and Unburned Vegetation Community and Field Data, NWT, Canada, 2019 ORNL_CLOUD STAC Catalog 2018-08-16 2019-09-05 -117.43, 60.92, -113.02, 62.57 https://cmr.earthdata.nasa.gov/search/concepts/C2445465291-ORNL_CLOUD.umm_json This dataset provides vegetation community characteristics, soil moisture, and biophysical data collected in 2019 from 11 study areas, which contained 28 sites that were burned by wildfires in 2014 and 2015, and 14 unburned sites in the Northwest Territories (NWT), Canada. Burn sites included peatland and upland. These field data include vegetation inventories, ground cover, as well as diameter and height for trees and shrubs in the unburned sites. Similar data were collected for the unburned sites in the years 2015-18 and are available in related separate datasets. In 2019, the focus was on woody and non-woody seedling/sprouting regrowth data in the burned sites. Additional measurements collected at all sites included total peat depth, soil moisture, and active layer thickness (ALT). Soil moisture and ALT were collected for validation of the UAVSAR airborne collection and Radarsat-2 overpasses. This 2019 fieldwork completes five years of field sampling at the wildfire areas. proprietary
Willow_Veg_Plots_1368_1 Arctic Vegetation Plots in Willow Communities, North Slope, Alaska, 1997 ORNL_CLOUD STAC Catalog 1997-07-09 1997-08-17 -149.85, 68.03, -148.08, 70.19 https://cmr.earthdata.nasa.gov/search/concepts/C2170969823-ORNL_CLOUD.umm_json This data set provides environmental, soil, and vegetation data collected in July and August 1997 from 85 study plots in willow shrub communities located along a north-south transect from the Brooks Range to Prudhoe Bay on the North Slope of Alaska. Data includes the baseline plot information for vegetation, soils, and site factors for the study plots subjectively located in three broad habitat types across the glaciated landscape. Specific attributes include: dominant vegetation species, cover, indices, and biomass pools; soil chemistry, physical characteristics, moisture, and organic matter. This product brings together for easy reference all the available information collected from the plots that has been used for the classification, mapping, and analysis of geobotanical factors in the region and across Alaska. proprietary
-WindSat-REMSS-L3U-v7.0.1a_7.0.1a GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite POCLOUD STAC Catalog 2002-06-01 2020-10-19 -179.99, -39.06, 180, 39.01 https://cmr.earthdata.nasa.gov/search/concepts/C2036878925-POCLOUD.umm_json "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by ""rt"" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. ""Final"" data (currently identified by ""v7.0.1a"" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final ""v7.0.1a"" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter ""a"" refers to the file incompliance with GHRSST format." proprietary
Wolves_Denning_Pups_Climate_1846_1 ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017 ORNL_CLOUD STAC Catalog 2000-03-29 2017-08-31 -154.58, 52.97, -112.97, 67.84 https://cmr.earthdata.nasa.gov/search/concepts/C2143401778-ORNL_CLOUD.umm_json This dataset provides annual gray wolf (Canis lupus) denning spatial information and timing, associated climatic and phenologic metrics, and reproductive success (i.e., pup survival) in wolf populations across areas of western Canada and Alaska within the NASA ABoVE Core Domain. The study encompasses 18 years between the period 2000-2017. Wolves were captured from eight populations following standard animal care protocols and released with Global Positioning System (GPS) collars. Data from 388 wolves were used to estimate den initiation dates (n=227 dens of 106 packs) and reproductive success in the eight populations. Each population was monitored from 1 to 12 years between 2000 and 2017. Denning parturition phenology was measured each year as the number of calendar days from January 1st to the initiation date of each documented denning event. Reproductive success was determined as to whether pups survived through the end of August following a reproductive event. To evaluate the effect of climate factors on reproductive phenology, aggregated seasonal climate metrics for temperature, precipitation, and snow water equivalent based on three biological seasons for seasonal wolf home ranges were produced. Normalized Difference Vegetation Index (NDVI) time-series data were used to estimate phenological metrics such as the start of the growing season (SOS), length of the growing season (LOS), and time-integrated NDVI (tiNDVI), and were summarized for the populations' home range. proprietary
WorldView-1.full.archive.and.tasking_NA WorldView-1 full archive and tasking ESA STAC Catalog 2007-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1965336959-ESA.umm_json WorldView-1 high resolution optical products are available as part of the Maxar Standard Satellite Imagery products from the QuickBird, WorldView-1/-2/-3/-4, and GeoEye-1 satellites. All details about the data provision, data access conditions and quota assignment procedure are described into the Terms of Applicability available in Resources section. In particular, WorldView-1 offers archive and tasking panchromatic products up to 0.50m GSD resolution. • Panchromatic - Levels: STANDARD (2A) / VIEW READY STANDARD (OR2A), VIEW READY STEREO, MAP READY (ORTHO) 1:12.000 Orthorectified - Resolutions: 0.30 m, 0.40 m, 0.50 m. 0.60 m The list of available archived data can be retrieved using the Image Library (https://www.euspaceimaging.com/image-library/) catalogue. proprietary
WorldView-2.European.Cities_NA WorldView-2 European Cities ESA STAC Catalog 2010-07-20 2015-07-19 -19, -26, 35, 66 https://cmr.earthdata.nasa.gov/search/concepts/C1965336961-ESA.umm_json ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015. proprietary
@@ -12294,7 +10939,6 @@ XAERDT_L2_AHI_H09_1 AHI/Himawari-09 Dark Target Aerosol 10-Min L2 Full Disk 10 k
Xingu_Albedo_Radiation_1622_1 Net Radiation and Albedo from MODIS for Xingu River Basin, Brazil, 2000-2012 ORNL_CLOUD STAC Catalog 2000-02-18 2012-11-16 -55.69, -15.07, -51.23, -9.57 https://cmr.earthdata.nasa.gov/search/concepts/C2764687115-ORNL_CLOUD.umm_json This dataset provides daily average land surface net radiation (Rnet) as an 8-day time series at approximately 0.5 km resolution for the upper Xingu River Basin in Mato Grosso, Brazil, from 2000-02-18 to 2012-11-16. The parameters needed to calculate Rnet, including albedo, downward shortwave radiation (RSnet), upward longwave radiation (RLnet[up]) and downward longwave radiation (RLnet[down]) were derived from MODIS products (MOD43A3, MOD11A2, MOD08E3) and local weather station data. Parameters were estimated under all sky conditions. These parameters are also provided for the Xingu Basin but at varying spatial and temporal resolutions. proprietary
YKDelta_EnvChange_InfoExchange_1894_1 Alaska's Changing YK Delta: Knowledge Exchange between Elders and Geoscientists, 2018 ORNL_CLOUD STAC Catalog 2018-11-14 2018-11-16 -166.55, 59.58, -159.48, 63.43 https://cmr.earthdata.nasa.gov/search/concepts/C2170972782-ORNL_CLOUD.umm_json This dataset provides a booklet documenting the discussions and outcomes from a knowledge-exchange meeting with Yup'ik elders from the Yukon-Kuskokwim Delta (YKD), western Alaska, community members, and natural scientist to discuss landscape and weather changes that have been observed in their homelands. The meeting was held during November 14-16, 2018. Yup'ik participants represented several YKD villages that occupy very different biophysical environments, and they have lifelong perspectives of environmental conditions and change that predate the era of Earth-observing satellites by many decades. Nearly 16 hours of discussion and testimonials from YKD elders were recorded during the meeting. The booklet is structured according to the environmental change processes that were discussed (e.g., coastal flooding, permafrost thaw, shrub expansion, climate change) and includes narrative summaries, quotations from participants, graphical illustrations, and examples of the field- and remote-sensing-based scientific findings, and map products developed as part of the larger ABoVE project. proprietary
Young_Russian_Forest_Map_1330_1 Distribution of Young Forests and Estimated Stand Age across Russia, 2012 ORNL_CLOUD STAC Catalog 2012-01-01 2012-12-31 -180, 32.86, 180, 87.24 https://cmr.earthdata.nasa.gov/search/concepts/C2773252554-ORNL_CLOUD.umm_json This data set provides the distribution of young forests (forests less than 27 years of age) and their estimated stand ages across the full extent of Russia at 500-m resolution for the year 2012. The distribution of young forests was modeled with MODIS 500-m records for 12- to 27-year-old forests and augmented with the 0- to 11-year-old forest distribution as aggregated from 30 m resolution contemporary Landsat imagery. proprietary
-ZZZ302_Not provided Alabama Remote Sensing Archive Multispectral Imagery of Alabama from Landsat and Skylab SCIOPS STAC Catalog 1972-01-01 1984-01-01 -92, 24, -80, 35 https://cmr.earthdata.nasa.gov/search/concepts/C1214584460-SCIOPS.umm_json Multispectral imagery of the state of Alabama is available from the Geological Survey of Alabama for the time period of 1972-1984. Imagery from the Landsat multispectral scanner (MSS) is available as prints or transparencies for all bands (with selected color composites avaliable) at an approximate scale of 1:1,000,000. MSS data is collected in four spectral bands ranging from 0.5 to 1.1 micrometer with a ground resolution of about 80m. Images available from Skylab 3 and 4 include 9 x 9 prints and transparencies at 1:750,000 (skylab 3) and 1:500,000 (skylab 4). These images were taken in 1973 and are along three tracks; northeast from New Orleans, LA to South Carolina, northeast from Pensacola, FL to Columbus, GA, and from Pearl River, Jackson MI to Pensacola, FL. The multispectral photographic facility onboard Skylab provided imagery in several wavelength bands ranging from 0.5 to 0.9 Micrometers. This camera system provided ground resolution of approximately 40 m in visible wavelengths to 75 m in the infrared. A variety of high and low altitude aircraft imagery of Alabama is also available from the Geological Survey of Alabama. Microfiche images of MSS/TM imagery of North America since 1986 (landsat browse imagery) are also available. Similar imagery for other locations and time periods is available from the Eros Data Center. proprietary
ZinkeSoil_221_1 Global Organic Soil Carbon and Nitrogen (Zinke et al.) ORNL_CLOUD STAC Catalog 1940-01-01 1986-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216862657-ORNL_CLOUD.umm_json A compilation of worldwide soil carbon and nitrogen data for more than 3500 soil profiles. proprietary
Zinke_soil_683_1 LBA Regional Organic Soil Carbon and Nitrogen Data (Zinke et al.) ORNL_CLOUD STAC Catalog 1940-01-01 1984-12-31 -85, -25, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2777326924-ORNL_CLOUD.umm_json The data set contains a subset of a global organic soil carbon and nitrogen data set (Zinke et al. 1986). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The point data are available in three formats: a comma-delimited ASCII file (*.csv), an ESRI shapefile, and an ESRI export file (*.e00).The data for the global data set (Zinke et al. 1986) were obtained from soil surveys conducted by Zinke in 1965-1984 and from soil survey literature. The main samples for laboratory analyses were collected at uniform soil increments and included bulk density determinations. Many samples reported in the literature did not have uniform soil increments or bulk density determinations. Only soil profiles that had been sampled either to a meter in depth or to actual depth were included in this database from soil survey literature. When carbon content was known but bulk densities were absent from soil samples reported in the literature, densities were estimated by regression analysis on the basis of the relationship between organic carbon content and measured bulk density in 1800 soil profiles for which bulk densities were known.Further information can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/Zinke_soil/comp/zinke_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html. proprietary
ZoblerSoilDerived_540_1 Global Soil Types, 0.5-Degree Grid (Modified Zobler) ORNL_CLOUD STAC Catalog 1974-01-01 1982-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2216862776-ORNL_CLOUD.umm_json A global data set of soil types is available at 0.5-degree latitude by 0.5-degree longitude resolution. There are 106 soil units, based on Zobler's (1986) assessment of the FAO/UNESCO Soil Map of the World. This data set is a conversion of the Zobler 1-degree resolution version to a 0.5-degree resolution. proprietary
@@ -12331,20 +10975,7 @@ aces1log_1 ACES LOG DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -
aces1time_1 ACES TIMING DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977855412-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform. proprietary
aces1trig_1 ACES TRIGGERED DATA GHRC_DAAC STAC Catalog 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977858342-GHRC_DAAC.umm_json The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued. proprietary
acoustic_charts_v6_1994_95_1 Acoustic Sounder Charts from Australian Antarctic Division Voyage 6 1994/95 (BANGSS) AU_AADC STAC Catalog 1995-02-06 1995-04-12 60, -69.393, 147.473, -42.882 https://cmr.earthdata.nasa.gov/search/concepts/C1214311712-AU_AADC.umm_json Acoustic sounder charts were collected at six locations during Australian Antarctic Division Voyage 6 1994/95 (BANGSS) using the Kongsberg EA200 Echo Sounder on the Aurora Australis. BANGSS is an acronym for Big ANtarctic Geological and Seismic Survey. The voyage began on 6 February 1995 and finished on 12 April 1995. Each chart is labelled with information about when and where the data was collected: date, time, latitude and longitude. The charts provide a profile of the sea floor and have a time axis with numbers in the following format. the first two digits are the day the next two digits are the month the next five digits are the time (UTC) the last ten digits are the maximum value on the depth axis eg 2402005 360000000500 means 24 February 5:36 UTC and the maximum value on the depth axis is 500 metres See a Related URL for a link to information about the voyage including the voyage report. proprietary
-acoustic_doppler_current_profiler_data_-_2010_Not provided Acoustic Doppler Current Profiler Data - 2010 SCIOPS STAC Catalog 2010-08-21 2010-09-17 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214602088-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Two files are included: A matlab file and a .zip file containing ascii files for each deployement. 2.) ascii format. The .mat file sos2010_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2010dt_ascii.zip.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
-acoustic_doppler_current_profiler_data_-_2011_Not provided Acoustic Doppler Current Profiler Data - 2011 SCIOPS STAC Catalog 2011-08-22 2011-09-13 -156, 70, -154, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600594-SCIOPS.umm_json "Acoustic Doppler current profiler data were collected using a RD Instruments, 300 kHz ADCP that was mounted on an acoustic sled and towed alongside the R/V Annika Marie. Deployment was somewhat limited by weather, with higher sea states precluding use of the instrument. Data were processed by Frank Bahr at the Woods Hole Oceanographic Institution. Three files are included: A matlab file and .zip file and .tar files containing ascii files for each deployement. 1.) Matlab format. The .mat file sos2011_dt.mat contains all deployments in the structure vm_data.
The format is described in a text variable ""readme"" contained in sos2010_dt.mat 2.) ascii format.
The data are also presented in ascii, with one data file per deployment, with files zipped together in to sos2011dt_ascii.zip or sos2011dt_asc.tar.
The first line of each file gives the center depth of the ADCP bins in meters.
Note that both the bin depths as well as the number of bins may change
between deployments.
It is followed by one line per ADCP profile, listing
- profile time as year/month/day hour:min:sec,
- profile time in 2010 decimal days (noon on Jan 1 equals decimal day 0.5)
- longitude, latitude in decimal degrees
- N values of zonal velocity, positive eastward, where N is the number of bins
- N values of meridional velocity, positive northward
""Bad"" data are marked with the flag value 999.99." proprietary
-active_layer_arcss_grid_atqasuk_alaska_2010_Not provided Active Layer ARCSS grid Atqasuk, Alaska 2010 SCIOPS STAC Catalog 2010-07-10 2010-08-16 -156, 70, -158, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602289-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
-active_layer_arcss_grid_atqasuk_alaska_2011_Not provided Active Layer ARCSS grid Atqasuk, Alaska 2011 SCIOPS STAC Catalog 2011-06-17 2011-08-12 -157, 70, -156, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600393-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2011 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
-active_layer_arcss_grid_atqasuk_alaska_2012_Not provided Active Layer ARCSS grid Atqasuk, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214601993-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Atqasuk, Alaska during the 2012 summer field season. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from E2-E6 and J2-J6. The SEL lab's CALM depth probe was used to take the measurements. proprietary
-active_layer_arcss_grid_barrow_alaska_2010_Not provided Active Layer ARCSS grid Barrow, Alaska 2010 SCIOPS STAC Catalog 2010-06-30 2010-08-11 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600590-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's long depth probe was used (orange tape on the handle). Data have been corrected by subtracting 3 cm from measurements made in the field to account for the missing tip of the probe. proprietary
-active_layer_arcss_grid_barrow_alaska_2011_Not provided Active Layer ARCSS grid Barrow, Alaska 2011 SCIOPS STAC Catalog 2011-06-14 2011-07-25 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600390-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
-active_layer_arcss_grid_barrow_alaska_2012_Not provided Active Layer ARCSS grid Barrow, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600333-SCIOPS.umm_json Active Layer measurements were taken on a 30 plot subset within the ARCSS Grid in Barrow, Alaska. Each measurement was taken on the north eastern most corner of each plot. The chosen subset was located from D2-D7 and H2-H7. The SEL lab's CALM depth probe was used. Depth was measured on the probe as the distance from the frozen active layer to the top of the surface of the vegetation. If water was present, then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_atqasuk_alaska_2011_Not provided Active Layer NIMS grid Atqasuk, Alaska 2011 SCIOPS STAC Catalog 2011-06-05 2011-08-12 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600341-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2011 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_atqasuk_alaska_2012_Not provided Active Layer NIMS grid Atqasuk, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156, 70, -157, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214600318-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Atqasuk, Alaska throughout the 2012 summer field season. UTEP SEL's CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_barrow_alaska_2011_Not provided Active Layer NIMS grid Barrow, Alaska 2011 SCIOPS STAC Catalog 2011-06-14 2011-08-09 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214602385-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2011 summer field season. UTEP SEL’s CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
-active_layer_nims_grid_barrow_alaska_2012_Not provided Active Layer NIMS grid Barrow, Alaska 2012 SCIOPS STAC Catalog 2012-06-09 2012-08-18 -156.6, 71, -156.5, 71.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214600541-SCIOPS.umm_json Active Layer measurements were taken at each NIMS (Networked Info-mechanical Systems) grid plot in Barrow, Alaska throughout the 2012 summer field season. UTEP SELs CALM depth probe was used to take measurements. Depth was measured on the probe as the distance from frozen active layer to the top surface of the vegetation. If water was present then it was measured to the top of the biomass. proprietary
ada968fd392d49fbbb07ac84eeb23ac6_NA ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the Zachariae Glacier between 2017-06-25 and 2017-08-10, generated using Sentinel-2 data, v1.1 FEDEO STAC Catalog 2017-06-24 2017-08-10 -80, 60, -10, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142710-FEDEO.umm_json This dataset contains an optical ice velocity time series and seasonal product of the Zachariae Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-25 and 2017-08-10. It has been produced as part of the ESA Greenland Ice Sheet CCI project.The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid. The product was generated by S[&]T Norway. proprietary
-adaptive_long-term_fasting_in_land_and_ice-bound_polar_bears_data_table_Not provided Adaptive long-term fasting in land and ice-bound polar bears: Data Table SCIOPS STAC Catalog 2008-01-01 2011-12-31 -155, 70, -122, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1214602399-SCIOPS.umm_json The datasets in the data table have been collected as part of a project to understand how reduced sea ice cover in the Arctic will impact polar bear populations. Bears that stay ashore in summer have almost no access to food and tend to be inactive. Those that stay on the ice, however, have continued access to prey and make extensive movements. Over a three year period, scientists from the University of Wyoming and the U. S. Geological Service followed the movements of bears in both habitats and monitored their body temperature, muscle condition, blood chemistry, and metabolism. The physiological data will be added to spatially-explicit individual-based population models to predict population response to reduced ice cover. proprietary
adcp_2 Aurora Australis Southern Ocean ADCP data AU_AADC STAC Catalog 1994-12-13 1999-09-07 75, -69, 165, -41 https://cmr.earthdata.nasa.gov/search/concepts/C1214311719-AU_AADC.umm_json Acoustic Doppler current profiler (ADCP) measurements from a hull mounted 150 kHz narrow band ADCP unit were collected in the Southern Ocean from 1994 to 1999, on the following cruises: au9404, au9501, au9604, au9601, au9701, au9706, au9807 and au9901. The fields in this dataset are: Currents bottom depth cruise number ship speed time velocity GPS proprietary
add104f4c4454b629dbc7648efaa1b50_NA ESA Ozone Climate Change Initiative (Ozone CCI): ODIN/SMR (544.6 GHz) Level 3 Limb Ozone Monthly Zonal Mean (MZM) Profiles, Version 1 FEDEO STAC Catalog 2001-01-01 2013-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142584-FEDEO.umm_json This dataset comprises gridded limb ozone monthly zonal mean profiles from the ODIN/SMR (544.6 GHz) instrument. The data are zonal mean time series (10° latitude bin) and include uncertainty/variability of the Monthly Zonal Mean.The monthly zonal mean (MZM) data set provides ozone profiles averaged in 10° latitude zones from 90°S to 90°N, for each month. The monthly zonal mean data are structured into yearly netcdf files, for each instrument separately. The filename indicates the instrument and the year. For example, the file âESACCI-OZONE-L3-LP-MZM-SMR_ODIN-544_6_GHz-2008-fv0001.ncâ contains monthly zonal mean data for ODIN/SMR at 544.6GHz in 2008. proprietary
adpe-aat-census_1 Adelie penguin census from records from 1931 to 2007 AAT region AU_AADC STAC Catalog 1931-02-13 2006-12-08 38.2, -69.6, 89.5, -65.8 https://cmr.earthdata.nasa.gov/search/concepts/C1214311746-AU_AADC.umm_json A catalogue of adelie penguin colony census records from 1931 to 2007 and limited geographically to the Australian Antarctic Territory (AAT). The present set is from 40E to Gaussberg (89E). The census records have been collected and compiled from a literature search. proprietary
@@ -12356,7 +10987,6 @@ aerial_photo_sea_ice_ARISE_1 Aerial photographs of sea ice flown by the Australi
aerial_photo_sea_ice_ISPOL_1 Aerial photographs of sea ice flown by the Australian Antarctic Division on the ISPOL voyage in 2004 AU_AADC STAC Catalog 2004-11-06 2005-01-19 -58.2, -69.67, -55.2, -67.57 https://cmr.earthdata.nasa.gov/search/concepts/C1292611592-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during the voyage, Alfred Wegener Institute Ice Station Polarstern (ISPOL) voyage 2004/05, 6 Nov 2004 to 19 Jan 2005. Flights were conducted around the edges of a triangular array of drifting buoys each transmitting GPS location. Flights throughout the experiment show changes in the surface properties (floe size, extent of surface flooding) with time. See the metadata record 'AAD buoy data collected during ISPOL 2004, Western Weddell Sea' for more information on the ISPOL project. The Related URLs in this metadata record include the urls of web pages with information about the voyage, urls for requesting for the photographs and urls for downloading information about the photographs. The ISPOL aerial photographs of sea ice are part of the Australian Antarctic Data Centre's collection of aerial photographs which is described by the metadata record 'The collection of aerial photographs held by the Australian Antarctic Data Centre' with Entry ID: aerial_photo_gis. The collection can be searched in the Australian Antarctic Data Centre's Aerial Photograph Catalogue - see Related URLs. Select ISPOL from the Aerial Photography Series picklist. Preview images of the photos may be viewed using this search. Digital flight lines and photo centres representing the runs along which the photographs were taken and the centres of the photographs are the basis of the catalogue. The flight lines and photo centres for ISPOL are available for download as shapefiles - see metadata record ID: aerial_photo_sea_ice_shapefiles. proprietary
aerial_photo_sea_ice_SIPEX_1 Aerial photographs of sea ice flown by the Australian Antarctic Division on the SIPEX voyage in 2007 AU_AADC STAC Catalog 2007-08-29 2007-10-16 109.1, -66.7, 118.85, -64.03 https://cmr.earthdata.nasa.gov/search/concepts/C1292611658-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during Australian Antarctic Division voyage 1 2007/08 - Sea Ice Physics and Ecosystems Experiment (SIPEX). Voyage dates: SIPEX: 29 Aug 2007 to 16 Oct 2007 The Related URLs in this metadata record include the urls of web pages with information about these voyages, urls for requesting for the photographs and urls for downloading information about the photographs. Some of the SIPEX aerial photographs were taken at ice stations. Refer to the metadata record 'An integrated study of processes linking sea ice and biological ecosystem elements off East Antarctica during winter', Entry ID: ASAC_2767, for information about the ice stations. The metadata record 'RAPPLS Surveys (Radar, Aerial Photography, Pyrometer, and Laser Scanning system) made during the SIPEX II voyage of the Aurora Australis, 2012', Entry ID: SIPEX_II_RAPPLS, describes the aerial photography conducted on SIPEX II, 13 Sep 2012 to 15 Nov 2012. proprietary
aerial_photo_sea_ice_shapefiles_1 Flight lines and photo centres of aerial photographs of sea ice flown by the Australian Antarctic Division on the ARISE and ISPOL voyages in 2003 and 2004 AU_AADC STAC Catalog 2003-09-10 2005-01-19 -58.2, -69.67, 118.85, -64.03 https://cmr.earthdata.nasa.gov/search/concepts/C1292611653-AU_AADC.umm_json The Australian Antarctic Division acquired aerial photographs of sea ice from helicopters using a digital Nikon D1X digital camera during the following voyages: Australian Antarctic Division voyage 1 2003/04 - Antarctic Remote Ice Sensing Experiment (ARISE); Alfred Wegener Institute Ice Station Polarstern (ISPOL) voyage 2004/05. Voyage dates: ARISE: 10 Sep 2003 to 31 Oct 2003 ISPOL: 6 Nov 2004 to 19 Jan 2005 The ARISE and ISPOL aerial photographs of sea ice are part of the Australian Antarctic Data Centre's collection of aerial photographs which is described by the metadata record 'The collection of aerial photographs held by the Australian Antarctic Data Centre' with Entry ID: aerial_photo_gis. Digital flight lines and photo centres representing the runs along which the photographs were taken and the centres of the photographs are the basis of the catalogue. proprietary
-aerial_photographs_from_columbia_glacier_1976-2010_Not provided Aerial Photographs from Columbia Glacier, 1976-2010 SCIOPS STAC Catalog 1976-07-24 2011-06-15 -146.895, 61.22, -146.895, 61.22 https://cmr.earthdata.nasa.gov/search/concepts/C1214600568-SCIOPS.umm_json
Aerial stereophotography missions were flown at least once every year over the Columbia Glacier in 1976-2010, and documented further in the Aerial Inventory. Flight data include all existing scans of the large format diapositives and their derived data products from 2002-2010.
This dataset consists of scanned aerial diapositives in high resolution from a photogrammetric scanner and low resolution JPEG previews. The data are collected into TAR files by year. Data gathered during 2002-2003 are collected into TAR files by day and part (e.g. 20020826_01.tar).
proprietary aerial_rpa_nov2016_1 Aerial photographs of Davis and Heidemann Valley taken with Remotely Piloted Aircraft, November 2016 AU_AADC STAC Catalog 2016-11-07 2016-11-20 77.9619, -68.5811, 78.0131, -68.5731 https://cmr.earthdata.nasa.gov/search/concepts/C1367275166-AU_AADC.umm_json The Australian Antarcic Division (AAD) contracted Helicopter Resources to fly remotely piloted aircraft (RPA) on Voyage 1 2016/17. The RPA were used to take aerial photographs for sea ice reconnaisance from the RSV Aurora Australis, aerial photographs of Davis, aerial photographs for building roof inspections at Davis and aerial photographs of part of Heidemann Valley. Video was also recorded from the RSV Aurora Australis and of Heidemann Valley. The flights over Heidemann Valley were done at the request of the AAD's Antarctic Modernisation Taskforce. The roof inspections were done at the request of the AAD's Infrastructure section. The following can be downloaded or requested from this metadata record by AAD staff only (see Related URLs): 1 A report prepared by Doug Thost, the chief RPA pilot; 2 The aerial photographs of Davis and Heidemann Valley; and 3 Some panoramas created from aerial photographs taken at Davis. The AAD's Multimedia section have a copy of the videos. The AAD's Infrastructure section have a copy of the aerial photographs taken for roof inspections. See the report for further details. proprietary aerial_surveys_vestfold_2017-18_1 Aerial surveys of Davis station and an area of the Vestfold Hills to the north-east of the station 2017/18 AU_AADC STAC Catalog 2017-11-19 2018-01-31 77.8923, -68.6067, 78.2235, -68.4809 https://cmr.earthdata.nasa.gov/search/concepts/C1542262550-AU_AADC.umm_json "Three aerial surveys were flown by Helicopter Resources Pty Ltd for the Australian Antarctic Division's Antarctic Modernisation Taskforce during the 2017/18 field season. The photography was done from a helicopter and covered Davis station and an area of the Vestfold Hills to the north-east of the station. The first survey conducted on 19 November 2017 covered an inner higher resolution area with flying heights approximately 300 to 400 metres above sea level. The second survey conducted on 20 November 2017 covered a more extensive area at lower resolution with flying heights approximately 800 metres above sea level. The third survey was conducted on 31 January 2018 over a similar area to the first survey with flying heights approximately 300 to 400 metres above sea level. The report on the third survey states ""As a general comment, in comparison to Survey 1, this survey was flown more accurately, in better lighting conditions, with less snow cover, and by all statistical metrics has resulted in a higher quality survey overall."" The spatial extents given in this metadata record are for the second survey. For each survey there is zip file with a report and the following products generated from the survey data: (i) an orthophoto; (ii) a Digital Surface Model (DSM); and (iii) contours generated from the DSM. The products are stored in the UTM zone 44S coordinate system, based on the horizontal datum ITRF2000. Elevations are in metres above Mean Sea Level. There is also a separate zip file with the aerial photographs from the three surveys and a spreadsheet with latitude and longitude for each photo centre. Ground control points were used to constrain the DSM for each survey. One metre by one metre cross markers were set out across the survey area prior to the aerial surveys being flown. The centre of each cross was surveyed by Australian Defence Force surveyors Sam Kelly and Warwick Cox. Some permanent survey marks were used as an independent check of the overall accuracy of the DSM." proprietary aerosol-data-davos-wolfgang_1.0 Aerosol Data Davos Wolfgang ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.853594, 46.835577, 9.853594, 46.835577 https://cmr.earthdata.nasa.gov/search/concepts/C2789814678-ENVIDAT.umm_json Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room. Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0). Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³). Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³). Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. proprietary @@ -12382,17 +11012,13 @@ african_woody_savanna_850_1 Characteristics of African Savanna Biomes for Determ agricultural-biogas-plants-to-foster-circular-economy-and-bioenergy_1.0 Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using substance and energy flow analysis ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081749-ENVIDAT.umm_json "Supplementary material for the publication "" Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using material substance and energy flow analysis"" Burg, V., b, Rolli, C., Schnorf, V., Scharfy, D., Anspach, V., Bowman, G. Today's agro-food system is typically based on linear fluxes (e.g. mineral fertilizers importation), when a circular approach should be privileged. The production of biogas as a renewable energy source and digestate, used as an organic fertilizer, is essential for the circular economy in the agricultural sector. This study investigates the current utilization of wet biomass in agricultural anaerobic digestion plants in Switzerland in terms of mass, nutrients, and energy flows, to see how biomass use contributes to circular economy and climate change mitigation through the substitution effect of mineral fertilizers and fossil fuels. We quantify the system and its benefits in details and examine future developments of agricultural biogas plants using different scenarios. Our results demonstrate that agricultural anaerobic digestion could be largely increased, as it could provide ten times more biogas by 2050, while saving significant amounts of mineral fertilizer and GHG emissions." proprietary air_methane_lawdome_1 Dated Readings For Air Composition And Methane From Law Dome Ice Core AU_AADC STAC Catalog 1988-01-01 1993-12-31 112.8, -66.771, 112.81, -66.77 https://cmr.earthdata.nasa.gov/search/concepts/C1214311761-AU_AADC.umm_json "This work was completed as part of ASAC project 757 (ASAC_757). This file comprises three main records compiled for publication in the following: V. Morgan, M. Delmotte, T. van Ommen, J. Jouzel, J. Chappellaz, S. Woon, V. Masson-Delmotte and D. Raynaud. Relative Timing of Deglacial Climate Events in Antarctica and Greenland, Science, 13 September 2002, Vol 297 (5588), pp. 1862-1864, DOI: 10.1126/science.1074257. Supporting Material - http://www.sciencemag.org/cgi/content/full/sci;297/5588/1862/DC1 Law Dome is a small (200 km in diameter) ice sheet located at the edge of the Indian Ocean sector of East Antarctica. The core site, near the summit of Law Dome (66 degrees 46'S, 112 degrees 48'E), is characterised by a high rate of accumulation (late Holocene average, 0.68 m ice equivalent per year) that results in an ice core with a highly tapered time scale in which the Holocene represents some 93% of the ice thickness of 1200 m. However, the full Law Dome isotopic record generally matches the long records from Vostok and Byrd to at least 80 ka, indicating that the record is continuous and undisturbed over this period. The Law Dome record is suited to gas-synchronisation studies because the high accumulation rate and consequent rapid burial give a small age difference (Delta age) between trapped air and the older enclosing ice. Derivation of an age scale for the Law Dome core, is based upon a Dansgaard- Johnsen flow model (S1) matched to the observed layer thinning (S2). Continuously sampled seasonal cycles down to ~1/3 ice-thickness (~1ky) and spot measurements of seasonal layers to ~85% ice-thickness (~4 ky) constrain the ice-flow model through this period in which mean accumulation is assumed to be free of large trends. Chronological control in the lower portion of the ice-sheet prior to 4 ky is through ties to other records. For the period of discussion, namely 10 ky to 17 ky, ties at 9.6 ky, 11.0 ky, 11.6 ky, 12.5 ky, 12.8 ky, 14.3 ky and 16.3 ky, are obtained by matching air composition changes with those of GRIP. The 9.6 ky tie is obtained by matching to d18O of air in GRIP (S3) and GISP2 (S4) data, and the remainder synchronise with the Byrd and GRIP CH4 records (S5). Dust concentration data also provide additional constraints on the 16.3 ky tie. Beyond 16.3 ky control is by a tie at 32 ky (based on both dust and d18Oice matched to the Byrd ice core (S6) on the GRIP timescale (S5)). The mean temporal resolution of the LD isotope data is ~24y through this period. The air-composition age-ties require Delta age computations for sequencing events within the LD record and for synchronisation of the chronology with GRIP. The high accumulation at DSS results in a particularly small Delta age value. The modern difference between ice-age and gas-age is 60 plus or minus 2 years for methane (S7). Note that at such low Delta age values, the diffusive mixing time from the free atmosphere down to seal-off depth becomes significant and must be accounted for; in the case of CH4 this is ~8 years (S7). The absolute chronology derived for the LD record has contributions from both the LD and GRIP Delta age errors, but the relative timing between the LD CH4 and water isotope (d18Oice) signals is only uncertain to within the small errors associated with LD Delta age. While the present-day trapping age at LD is small, lower temperatures and accumulation rates during the deglaciation lead to longer trapping times. To estimate Delta age under past conditions, we use a model (S8) to compute trapping age from accumulation and temperature (this model agrees with precise experimentally determined present day values). Since we have no direct indicators for palaeoaccumulation and palaeotemperature, we adopt two scenarios that use alternative estimation methods. Estimation of palaeotemperature from the isotope data in both scenarios is by application of a calibration slope, ""Beta ppt/degrees C"". For the young chronology, which has minimum Delta age, the commonly applied spatial slope of Beta=0.67 ppt/degrees C is used, giving relatively warm temperatures. The default chronology uses a long-term temporal calibration (S9) for Law Dome, Beta=0.44 ppt/degrees C. This estimate, which is seasonally derived, gives greater temperature sensitivity for isotopic changes than the spatial slope. The use of this lower value for Beta is supported by direct comparisons between annual averages in d18O and temperature at the site and elsewhere on Law Dome. Over several years to a few decades, these yield coefficients of typically ~0.33 ppt/degrees C. We adopt the value 0.44 ppt/degrees C as a conservative choice, based on a longer-term calibration and because the incorporation of seasonal sea-ice variations may better capture glacial-to- Holocene environmental shifts. Estimation of palaeoaccumulation for the young chronology is via the commonly applied method (see, e.g. S5) that scales modern accumulation-rate using the derivative of saturation vapour-pressure versus temperature relationship (also using Beta=0.67 ppt/degrees C). This method explicitly assumes no non-thermodynamic changes to moisture transport during climate variations (such as, e.g., atmospheric circulation changes) that may be important at this near-coastal location. Our alternative palaeoaccumulation estimate used for the default chronology assumes that the flow-model is correct and infers accumulation from the known age-intervals between the gas ties. This leads to considerably larger changes in accumulation which may nonetheless be understandable given the distinctively high Holocene precipitation regime that prevails at Law Dome. In addition, dust concentration data show a larger LGM to Holocene decrease at LD than Vostok. If relative flux changes at the two sites are similar, then the exaggerated dilution at LD is consistent with a large interglacial accumulation shift. Trapped gas measurements were made in France: CH4 measurements at LGGE, Grenoble and d18Oair measurements at LSCE, Saclay. Both analyses were conducted using a wet extraction procedure to release the air of the ice and followed by an injection into a gas chromatograph (CH4 measurement) or by a mass spectrometer isotopic analysis (d18Oair measurements). Both analyses were conducted using established procedures (S10,S11). The methane analytical uncertainty is plus or minus 20 ppbv with values were obtained on a single measurement (in which the sample was exhausted) and are presented on the LGGE scale which differs slightly from the NOAA scale but is well calibrated against it: LGGE = 1.02*NOAA (S12). The d18Oair values arise from means of duplicate measurements (except for one point with an obvious experimental problem, 1127.492 m depth). The analytical precision for d18Oair is around 0.05 ppt with a mean reproducibility of about 0.1 ppt. d18Oice measurements were made in Hobart and have an analytical precision of approximately 0.1 ppt. The results are expressed using the conventional reference of VSMOW (Vienna Standard Mean Ocean Water). Supporting References and Notes S1. W. Dansgaard, S. J. Johnsen, J. Glaciol., 8, 215 (1969). S2. V. Morgan et al., J. Glaciol., 43, 3 (1997). S3. M. Cross, (Compiler) Greenland summit ice cores CD-ROM. Boulder, CO: National Snow and Ice Data Center in association with the World Data Center for Paleoclimatology at NOAA-NGDC, and the Institute of Arctic and Alpine Research (1997). S4. M. Bender et al., Nature 372, 663-666 (1994). S5. T. Blunier, et al., Nature 394, 739 (1998). S6. S. J. Johnsen, W. Dansgaard, H. B. Clausen, C. C. Langway, Nature, 235, 429 (1972). S7. D. M. Etheridge et al., J. Geophys. Res., 101, 4115 (1996). S8. J.-M. Barnola, P. Pimienta, D. Raynaud, Y. S. Korotkevich, Tellus Ser. B, 43, 83 (1991). S9. T. D. van Ommen, V. Morgan, J. Geophys. Res., 102, 9351 (1997). S10. J. Chappellaz, et al., J. Geophys. Res., 102, 15987, (1997). S11. B. Malaize, Analyse isotopique de l'oxygene de l'air piege dans les glaces de l'Antarctique et du Groenland: correlation inter-hemispheriques et effet Dole, PhD thesis, University Paris 6, (1998). S12. T. Sowers et al, J. Geophys. Res., 102, 26527, (1997)." proprietary air_sea_gas_exchange_xdeg_1208_1 ISLSCP II Air-Sea Carbon Dioxide Gas Exchange ORNL_CLOUD STAC Catalog 1995-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785340637-ORNL_CLOUD.umm_json This data set contains the calculated net ocean-air carbon dioxide (CO2) flux and sea-air CO2 partial pressure (pCO2) difference. The estimates are based on approximately one million measurements made for the pCO2 in surface waters of the global ocean since the International Geophysical Year, 1956-1959. Only the ocean water pCO2 values measured using direct gas-seawater equilibration methods were used. The results represent the climatological distributions under non-El Nino conditions. Since the measurements were made in different years, during which the atmospheric pCO2 was increasing, they were corrected to a single reference year (arbitrarily chosen to be 1995) on the basis of the following assumptions: -Surface waters in subtropical gyres mix vertically at slow rates with subsurface waters due to the presence of strong stratification at the base of the mixed layer. This will allow a long contact time with the atmosphere to exchange CO2. Therefore, their CO2 chemistry tends to follow the atmospheric CO2 increase. Accordingly, the pCO2 measured in a given month and year is corrected to the same month of the reference year 1995 using changes in the atmospheric CO2 concentration occurred during this period.-Oceanic pCO2 measurements made after the beginning of 1979 have been corrected to 1995 using the atmospheric CO2 concentration data from the GLOBALVIEW-CO2 database (2000), in which the zonal mean atmospheric concentrations (for each 0.05 in sine of latitude) within the planetary boundary layer are summarized for each month since 1979 to 2000.-Pre-1979 oceanic pCO2 data were corrected to 1979 using the annual mean trend for the global mean atmospheric CO2 concentration constructed from the Mauna Loa data of Keeling and Whorf (2000), and then from 1979 to 1995 using the GLOBALVIEW-CO2 database. -Measurements for pCO2 made in the following areas have been corrected for the time of observation; 45 degrees N, 50 degrees S, in the Atlantic Ocean, north of 50 degrees S in the Indian Ocean, 40 degrees N, 50 degrees S in the western Pacific west of the date line, and 40 degrees N, 60 degrees S, in the eastern Pacific east of the date line. proprietary -air_temperature_observations_in_the_arctic_1979-2004_Not provided Air Temperature Observations in the Arctic 1979-2004 SCIOPS STAC Catalog 1979-01-01 2005-12-01 -180, 14.5, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600622-SCIOPS.umm_json The statistics of surface air temperature observations obtained from buoys, manned drifting stations, and meteorological land stations in the Arctic during 1979-2004 are analyzed. Although the basic statistics agree with what has been published in various climatologies, the seasonal correlation length scales between the observations are shorter than the annual correlation length scales, especially during summer when the inhomogeneity between the ice-covered ocean and the land is most apparent. During autumn, winter, and spring, the monthly mean correlation length scales are approximately constant at about 1000 km; during summer, the length scales are much shorter, i.e. as low as 300 km. These revised scales are particularly important in the optimal interpolation of data on surface air temperature (SAT) and are used in the analysis of an improved SAT dataset called IABP/POLES. Compared to observations from land stations and the Russian North Pole drift stations, the IABP/POLES dataset has higher correlations and lower rms errors than previous SAT fields and provides better temperature estimates, especially during summer in the marginal ice zones. In addition, the revised correlation length scales allow data taken at interior land stations to be included in the optimal interpretation analysis without introducing land biases to grid points over the ocean. The new analysis provides 12-hour fields of air temperatures on a 100-km rectangular grid for all land and ocean areas of the Arctic region for the years 1979-2004. proprietary airmoss_chamela_mexico_Not provided USGS AirMOSS - Chamela, Mexico USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567952-USGS_LTA.umm_json North American ecosystems are critical components of the global carbon cycle, exchanging large amounts of carbon dioxide and other gases with the atmosphere. Net ecosystem exchange (NEE) quantifies these carbon fluxes, but current continental-scale estimates contain high levels of uncertainty. Root-zone soil moisture (RZSM) and its spatial and temporal hetergeneity influence NEE and contribute as much as 60-80 percent to the uncertainty. Energy and CO2 Fluxes have been monitored from 1997 to 2007 using Bowen Ratio technique, and since spring of 2004 with eddy covariance. proprietary airscm3b_448_1 BOREAS RSS-16 Level-3b DC-8 AIRSAR CM Images ORNL_CLOUD STAC Catalog 1993-08-12 1995-07-31 -110.05, 50.57, -94.08, 59.34 https://cmr.earthdata.nasa.gov/search/concepts/C2929127558-ORNL_CLOUD.umm_json Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high-resolution images that represent the radar backscatter of the imaged surface at different frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV). proprietary +airscpex_1 Atmospheric Infrared Sounder (AIRS) CPEX GHRC_DAAC STAC Catalog 2017-05-11 2017-07-16 -130.881382, -18.2515803, -14.6008026, 64.1143891 https://cmr.earthdata.nasa.gov/search/concepts/C2721994875-GHRC_DAAC.umm_json The Atmospheric Infrared Sounder (AIRS) CPEX dataset contains products obtained from the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions from May through June 2017. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 11, 2017 through July 16, 2017 and are available in HDF-4 format. proprietary airssy3b_507_1 BOREAS RSS-16 Level-3b DC-8 AIRSAR SY Images ORNL_CLOUD STAC Catalog 1993-08-12 1995-07-31 -110.05, 50.57, -94.08, 59.34 https://cmr.earthdata.nasa.gov/search/concepts/C2929155651-ORNL_CLOUD.umm_json Satellite and aircraft SAR data used in conjunction with various ground measurements to determine the moisture regime of the boreal forest. The NASA JPL AIRSAR is a side-looking imaging radar system that utilizes the SAR principle to obtain high resolution images that represent the radar backscatter of the imaged surface atdifferent frequencies and polarizations. The information contained in each pixel of the AIRSAR data represents the radar backscatter for all possible combinations of horizontal and vertical transmit and receive polarizations (i.e., HH, HV, VH, and VV). The level-3b AIRSAR SY data are the JPL synoptic product and contain 3 of the 12 total frequency and polarization combinations that are possible. proprietary airsunp_61_1 Optical Thickness Data: Aircraft (OTTER) ORNL_CLOUD STAC Catalog 1990-08-13 1990-08-15 -124.02, 43.97, -123.22, 46.13 https://cmr.earthdata.nasa.gov/search/concepts/C2804769299-ORNL_CLOUD.umm_json Airborne sunphotometer data collected on 8/13-15/90 used to provide quantitative atmospheric correction to remotely sensed data of forest reflectance and radiance proprietary ais_1970_log_1 Amery Ice Shelf Traverse Daily Log, 1970 AU_AADC STAC Catalog 1970-01-07 1970-02-12 65, -74, 74, -68 https://cmr.earthdata.nasa.gov/search/concepts/C1214305702-AU_AADC.umm_json The Australian Antarctic Division carried out a traverse to the Amery Ice Shelf in the summer of 1970. A daily log of the activities carried out was maintained, noting what the traverse team did, and the problems they dealt with along the traverse. Records for this work have been archived at the Australian Antarctic Division. Logbook(s): Glaciology Amery Ice Shelf Traverse Summer 1970 - The daily log from the traverse. proprietary -alaska_census_regional_database_Not provided Alaska Census Regional Database SCIOPS STAC Catalog 1970-01-01 2000-01-01 -129, 50, 169, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1214602419-SCIOPS.umm_json 1970-2000 decennial census results by 27 census areas conformed to 2000 Census geography. Dataset consists of 611 variables covering demography, employment, education, income, mobility, and housing. proprietary -alaskan_air_ground_snow_and_soil_temperatures__1998-2005_Not provided Alaskan Air Ground Snow and Soil Temperatures 1998-2005 SCIOPS STAC Catalog 1998-08-29 2007-11-30 -164.761, 64.919, -148.6, 70.439 https://cmr.earthdata.nasa.gov/search/concepts/C1214600491-SCIOPS.umm_json This data set contains air and ground temperature measurements collected from three different regions, each with multiple sites. The regions sampled are North Slope, Council, and Ivotuk. Early measurements were taken as part of the Land-Atmosphere-Ice Interactions - Arctic Transitions in the Land-Atmosphere System (LAII-ATLAS) program. The research project was funded by the Arctic System Sciences (ARCSS) Program, grant numbers OPP-9721347, OPP-9870635, and OPP-9732126 proprietary -albedo_line_snow_depths_Not provided Albedo Line Snow Depths SCIOPS STAC Catalog 2009-04-27 2009-04-28 -157, 71, -156, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1214600343-SCIOPS.umm_json Snow depth measurements recorded every half meter along the transects used for albedo measurements using a GPS magnaprobe. Included in the file are latitude, longitude, and snow depth. The first set of columns are at the south site, the second set are at the north site. Note that the south site was surveyed first along the line every half meter, and then a large dune field north of the line was extensively surveyed. Data Citation: Eicken, H., R. Gradinger, T. Heinrichs, M. Johnson, A. Lovecraft, and M. Sturm. (Nov. 29, 2009, Updated May 9, 2012). Albedo Line Snow Depths (SIZONET). UCAR/NCAR - CISL - ACADIS. http://dx.doi.org/10.5065/D6057CV2 proprietary ali_etm_tandem_821_1 SAFARI 2000 ALI/ETM+ Tandem Image Pair for Skukuza, South Africa, May 2001 ORNL_CLOUD STAC Catalog 2001-05-30 2001-05-30 30.76, -25.5, 33.12, -23.59 https://cmr.earthdata.nasa.gov/search/concepts/C2789740161-ORNL_CLOUD.umm_json A tandem pair of Advanced Land Imager (ALI) and Landsat Enhanced Thematic Mapper Plus (ETM+) scenes covering the same part of Kruger National Park (KNP), South Africa (including the Skukuza tower site and rest camp), were acquired about a minute apart on May 30, 2001. The ALI is one of three instruments aboard NASA's first New Millennium Program Earth Observing 1 (EO-1) satellite. ALI is a technology validation testbed that employs novel wide-angle optics and a highly integrated multispectral and panchromatic spectroradiometer.The tandem pair was produced to evaluate the differences between ALI and ETM+ and determine if technology similar to that of the ALI is suitable for future land imaging that will continue the observations begun by the Landsat satellites in 1972.The ALI and ETM+ images are false color composites combining shortwave infrared, near infrared, and visible wavelengths, displayed as red, green, and blue, respectively. Dense vegetation appears green. The similarity of the images demonstrates the ability of the ALI to produce data comparable to ETM+. Several SAFARI 2000 field campaigns conducted in KNP provided ground-based data needed to evaluate measurements from the satellite sensors.Each band is stored as an individual binary file. A metadata file accompanies each set of ALI and ETM+ band files to document the path and row number, sample and line counts, band file names, and sun azimuth and elevation angles. There is also a calibration parameter file that was used for 1R processing. proprietary -allADCP_GB_Not provided Acoustic Doppler Current Profiler (ADCP) observations, Georges Bank area, April-June 1995, GLOBEC. SCIOPS STAC Catalog 1995-04-25 1995-06-16 -68, 40.5, -67, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214155092-SCIOPS.umm_json Acoustic Doppler Current Profiler (ADCP) observations, were collected from the R/V Seward Johnson on two cruises to the Georges Bank region, April-June 1995. Three different ADCP units were used: two broadband at 150 and 600 kHz, and one narrowband at 150 kHz. The broadband 150 kHz unit was used at anchor stations with data reported at hourly intervals. The broad-band 600 kHz and narrow-band 150 kHz units collected data in the along track mode with data reported at five minute intervals. For each time interval, the u and v components of currents are reported at uniform depth intervals throughout the water column. Ship cruise dates R/V Seward Johnson 9506 1995 04 25 1995 05 02 R/V Seward Johnson 9508 1995 06 06 1995 06 16 proprietary alnus-glutinosa-orientus-ishidae-flavescence-doree_1.0 Alnus glutinosa (L.) Gaertn. and Orientus ishidae (Matsumura, 1902) share phytoplasma genotypes linked to the “Flavescence dorée” epidemics ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4484863, 45.8115721, 9.4372559, 46.4586735 https://cmr.earthdata.nasa.gov/search/concepts/C2789814963-ENVIDAT.umm_json Flavescence dorée (FD) is a grapevine disease caused by associated phytoplasmas (FDp), which are epidemically spread by their main vector Scaphoideus titanus. The possible roles of alternative and secondary FDp plant hosts and vectors have gained interest to better understand the FDp ecology and epidemiology. A survey conducted in the surroundings of a vineyard in the Swiss Southern Alps aimed at studying the possible epidemiological role of the FDp secondary vector Orientus ishidae and the FDp host plant Alnus glutinosa is reported. Data used for the publication. Insects were captured by using a sweeping net (on common alder trees) and yellow sticky traps (Rebell Giallo, Andermatt Biocontrol AG, Switzerland) placed in the vineyard canopy. Insects were later determined and selected for molecular analyses. Grapevines and common alder samples were collected using the standard techniques. The molecular analyses were conducted in order to identify samples infected by the Flavescence dorée phytoplasma (16SrV-p) and the Bois Noir phytoplasma (16SrXII-p). A selection of the infected sampled were further characterized by map genotype and sequenced in order to compare the genotypes in insects, grapevines and common alder trees. proprietary alos-prism-l1c_NA ALOS PRISM L1C ESA STAC Catalog 2006-08-01 2011-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280661-ESA.umm_json "This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) OB1 L1C data acquired by ESA stations (Kiruna, Maspalomas, Matera, Tromsoe) in the _$$ADEN zone$$ https://earth.esa.int/eogateway/documents/20142/37627/Information-on-ALOS-AVNIR-2-PRISM-Products-for-ADEN-users.pdf , in addition to worldwide data requested by European scientists. The ADEN zone was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East. The full mission archive is included in this collection, though with gaps in spatial coverage outside of the; with respect to the L1B collection, only scenes acquired in sensor mode, with Cloud Coverage score lower than 70% and a sea percentage lower than 80% are published: • Time window: from 2006-08-01 to 2011-03-31 • Orbits: from 2768 to 27604 • Path (corresponds to JAXA track number): from 1 to 665 • Row (corresponds to JAXA scene centre frame number): from 310 to 6790. The L1C processing strongly improve accuracy compared to L1B1 from several tenths of meters in L1B1 (~40 m of northing geolocation error for Forward views and ~10-20 m for easting errors) to some meters in L1C scenes (< 10 m both in north and easting errors). The collection is composed by only PSM_OB1_1C EO-SIP product type, with PRISM sensor operating in OB1 mode and having the three views (Nadir, Forward and Backward) at 35km width. The most part of the products contains all the three views, but the Nadir view is always available and is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the JAXA view ID naming convention." proprietary alpine3d-simulations-of-future-climate-scenarios-for-graubunden_1.0 Alpine3D simulations of future climate scenarios for Graubunden ENVIDAT STAC Catalog 2019-01-01 2019-01-01 8.6737061, 46.2216525, 10.6347656, 47.1075228 https://cmr.earthdata.nasa.gov/search/concepts/C2789814545-ENVIDAT.umm_json "This is the simulation dataset from _""Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland""_, M. Bavay, T. Grünewald, M. Lehning, Advances in Water Resources __55__, 4-16, 2013 A model study on the impact of climate change on snow cover and runoff has been conducted for the Swiss Canton of Graubünden. The model Alpine3D has been forced with the data from 35 Automatic Weather Stations in order to investigate snow and runoff dynamics for the current climate. The data set has then been modified to reflect climate change as predicted for the 2021-2050 and 2070-2095 periods from an ensemble of regional climate models. The predicted changes in snow cover will be moderate for 2021-2050 and become drastic in the second half of the century. Towards the end of the century the snow cover changes will roughly be equivalent to an elevation shift of 800 m. Seasonal snow water equivalents will decrease by one to two thirds and snow seasons will be shortened by five to nine weeks in 2095. Small, higher elevation catchments will show more winter runoff, earlier spring melt peaks and reduced summer runoff. Where glacierized areas exist, the transitional increase in glacier melt will initially offset losses from snow melt. Larger catchments, which reach lower elevations will show much smaller changes since they are already dominated by summer precipitation." proprietary @@ -12404,9 +11030,15 @@ amount_of_dead_wood-214_1.0 Amount of dead wood ENVIDAT STAC Catalog 2018-01-01 amphibian-and-landscape-data-swiss-lowlands_1.0 Amphibian and urban-rural landscape data Swiss Lowlands ENVIDAT STAC Catalog 2022-01-01 2022-01-01 7.7124023, 47.0776041, 9.0637207, 47.7983967 https://cmr.earthdata.nasa.gov/search/concepts/C2789814582-ENVIDAT.umm_json "The data includes (1) amphibian occurrence data (2017-2019) for ten species across the cantons of Aargau and Zürich gathered from the Coordination Center for the Protection of Amphibians and Reptiles of Switzerland (http://www.karch.ch), (2) amphibian whole-life cycle environmental predictors (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related), and (3) local urban ""green"" and ""grey"" landcover data which can be used to identify opportunities for Blue-Green Infrastructure (through green or grey transitions) in support of regional landscape connectivity." proprietary amphibian-data-aargau_1.0 Amphibian observation and pond data (Aargau, Switzerland) ENVIDAT STAC Catalog 2021-01-01 2021-01-01 7.7, 47.15, 8.46, 47.62 https://cmr.earthdata.nasa.gov/search/concepts/C2789814599-ENVIDAT.umm_json In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, as well as structural and potential population connectivity, quantified by three different metrics each. The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau. The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models. proprietary amprimpacts_1 Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS GHRC_DAAC STAC Catalog 2020-01-18 2023-03-02 -124.153, 26.507, -64.366, 49.31 https://cmr.earthdata.nasa.gov/search/concepts/C2004708841-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020, through March 2, 2023, in netCDF-4 format. proprietary +amprtbcp_2 AMPR BRIGHTNESS TEMPERATURE CAPE EXPERIMENT GHRC_DAAC STAC Catalog 1991-07-21 1991-08-16 -83.2024, 0, 12.6618, 38.1879 https://cmr.earthdata.nasa.gov/search/concepts/C1977858384-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Precipitation/Electrification Experiment (CaPE). AMPR data werecollected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of July 21, 1991 - Aug. 16, 1991. CaPE took place in centralFlorida between 43 N - 25.5 N latitude and 86 W - 69 W longitude. proprietary amprtbcx1_2 AMPR BRIGHTNESS TEMPERATURE CAMEX-1 GHRC_DAAC STAC Catalog 1993-09-26 1993-10-05 -83.8511, 23.9917, -68.2377, 42.6325 https://cmr.earthdata.nasa.gov/search/concepts/C1977858400-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiments (CAMEX-1) conducted at Wallops Island, VA. AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of September 26 - October 5, 1993. The geographic domain of the CAMEX region was between 25.5N - 43N latitude and 70W - 83W longitude. proprietary amprtbcx2_2 AMPR BRIGHTNESS TEMPERATURE CAMEX-2 GHRC_DAAC STAC Catalog 1995-08-23 1995-08-30 -78.907, 30.0262, -72.3661, 41.0703 https://cmr.earthdata.nasa.gov/search/concepts/C1977858440-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Convection and Moisture Experiment 2 (CAMEX-2). AMPR data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) during the time period of August 23 - August 30, 1995. The geographic domain of the CAMEX-2 region was between 25.5 N - 43 N latitude and 83 W - 70 W longitude. proprietary +amprtbcx3_1 CAMEX-3 AMPR BRIGHTNESS TEMPERATURE (TB) V1 GHRC_DAAC STAC Catalog 1998-08-08 1998-09-27 -90.5462, 13.606, -62.51, 35.6076 https://cmr.earthdata.nasa.gov/search/concepts/C1977858455-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Third Convection and Moisture Experiment (CAMEX-3). AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of August 8, 1998 - September 27, 1998. The purpose of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S. Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, radiosonde and rain gauge sites. proprietary +amprtbf3a_1 AMPR FIRE III ACE GHRC_DAAC STAC Catalog 1998-05-18 1998-06-06 -174.291, 64.7934, -147.234, 78.1863 https://cmr.earthdata.nasa.gov/search/concepts/C1977859380-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the First ISCCP Regional Experiment-III Arctic Cloud Experiment (FIRE-III/ACE). AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the time period of May 18, 1998 through June 6, 1998. The FIRE-III/ACE mission studied sea-ice melting, sea-ice drift, and other sea-ice properties. The experiment was focused on the Arctic Ocean in and near the Beaufort Sea off the northern coast of Alaska, in coordination with the ice-bound research ship, Sheba. proprietary +amprtbjax_2 AMPR JACKSONVILLE BRIGHTNESS TEMPERATURE (TB) GHRC_DAAC STAC Catalog 1990-10-10 1990-10-18 -85.4487, 26.0128, -79.3422, 31.5217 https://cmr.earthdata.nasa.gov/search/concepts/C1979079692-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed in Jacksonville, FL for the initial AMPR instrument validation. AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 10 October 1990 through 19 October 1990. The purpose of the Jacksonville mission was to study convection over the land and ocean for validation, along with clear (dry) vertical columns of atmosphere over the ocean for calibration. proprietary amprtbkwj_1 AMPR BRIGHTNESS TEMPERATURE (TB) KWAJEX GHRC_DAAC STAC Catalog 1999-07-30 1999-09-14 165.962, 5.93167, 171.12, 11.0683 https://cmr.earthdata.nasa.gov/search/concepts/C1979079822-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the First Kwajelein Experiment (KWAJEX), which provided Ground Validation for instruments onboard the Tropical Rain Measurement Mission (TRMM). AMPR brightness temperature data were collected at four microwave frequencies suited to study rain cloud systems (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 30 July - 14 September 1999. proprietary +amprtblba_1 TRMM LBA (LARGE SCALE BIOSPHERE-ATMOSPHERE) EXPERIMENT (AMPR) V1 GHRC_DAAC STAC Catalog 1999-01-24 1999-02-23 -62.9596, -12.4343, -56.5415, -9.5957 https://cmr.earthdata.nasa.gov/search/concepts/C1979080166-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Tropical Rainfall Measuring Mission - Large Scale Biosphere-Atmosphere Experiment (TRMM-LBA); the second of three TRMM ground validation missions. AMPR data were collected at four distinct microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the time period of January 23 through February 26, 1999. The geographic domain of the TRMM-LBA region was wholly within Brazilian Amazon Basin between 16 S to 6N latitude and 76W to 49 W longitude. The TRMM-LBA mission was to study convection over humid tropical land regions within the range of research-quality radar, lightning, radiosonde and raingage sites located in the Amazon Basin (Rondonia, Brazil). proprietary +amprtbta_1 AMPR TEFLUN-A BRIGHTNESS TEMPERATURE (TB) GHRC_DAAC STAC Catalog 1998-04-15 1998-05-05 -98.6646, 25.6215, -81.3661, 33.0512 https://cmr.earthdata.nasa.gov/search/concepts/C1979080326-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) was deployed during the Texas-Florida Underflights (TEFLUN-A); the first of three TRMM ground validation missions. AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 15 April 1998 through 04 May 1998. The TEFLUN-A mission studied convection over sub-tropical land and ocean regions within the range of research-quality radar, lightning, radiosonde, and raingage sites in Florida and Texas. proprietary amprtbtc_2 AMPR BRIGHTNESS TEMPERATURE (TB) TOGA COARE GHRC_DAAC STAC Catalog 1993-01-12 1993-02-25 144.774, -21.3571, 160.679, 0.22934 https://cmr.earthdata.nasa.gov/search/concepts/C1979080426-GHRC_DAAC.umm_json The Advanced Microwave Precipitation Radiometer (AMPR) data set was part of the atmospheric measurements collected during the intensive observation period of the Tropical Ocean Global Atmosphere-Coupled Ocean Atmosphere Response Experiment (TOGA COARE). AMPR brightness temperature data were collected at a combination of frequencies (10.7, 19.35, 37.1, and 85.5 GHz) and for the period Jan. 12, 1993 - Feb. 25, 1993. The TOGA COARE geographic domain pertinent to the AMPR data set was from the equator to 21 S latitude and 145 E - 161 E longitude. proprietary ams_cs93_403_1 BOREAS/AES Campbell Scientific 15-minute Surface Meteorological Data: 1993 ORNL_CLOUD STAC Catalog 1993-08-01 1993-12-31 -108.52, 50.95, -94.7, 58.18 https://cmr.earthdata.nasa.gov/search/concepts/C2808089826-ORNL_CLOUD.umm_json Contains data from 1993 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS. proprietary ams_cs94_404_1 BOREAS/AES Campbell Scientific 15-minute Surface Meteorological Data: 1994 ORNL_CLOUD STAC Catalog 1994-01-01 1994-12-31 -108.52, 50.95, -94.7, 58.18 https://cmr.earthdata.nasa.gov/search/concepts/C2808090015-ORNL_CLOUD.umm_json Contains data from 1994 from the Atmospheric Environment Service Campbell Scientific autostations collecting continuous fifteen minute data for BOREAS. proprietary @@ -12427,12 +11059,14 @@ aoci0bil_281_1 BOREAS Level-0 AOCI Imagery: Digital Counts in BIL Format ORNL_CL apr3cpex_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX GHRC_DAAC STAC Catalog 2017-05-27 2017-06-24 -96.0262, 16.8091, -69.2994, 28.9042 https://cmr.earthdata.nasa.gov/search/concepts/C2409563129-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment (CPEX) aircraft field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 27, 2017 through June 24, 2017 in a HDF-5 file, with associated browse imagery in JPG format. proprietary apr3cpexaw_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW GHRC_DAAC STAC Catalog 2021-08-20 2021-09-04 -80.7804, 11.8615, -45.6417, 34.046 https://cmr.earthdata.nasa.gov/search/concepts/C2269541013-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-AW dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. These data files are available from August 20, 2021 through September 4, 2021 in a MatLab file, with associated browse files in JPEG format. proprietary apr3cpexcv_1 Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV GHRC_DAAC STAC Catalog 2022-09-02 2022-09-30 -89.6733315, 1.7593585, -14.8189435, 39.1985524 https://cmr.earthdata.nasa.gov/search/concepts/C2708951073-GHRC_DAAC.umm_json The Airborne Precipitation Radar 3rd Generation (APR-3) CPEX-CV dataset consists of radar reflectivity, Doppler velocity for all bands, linear depolarization ratio Ku-band, and normalized radar cross-section measurements at Ka- and Ku- bands data collected by the APR-3 onboard the NASA DC-8 aircraft. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through September 30, 2022, in netCDF-4 format, with associated browse imagery in JPG format. proprietary +apuimpacts_1 Autonomous Parsivel Unit (APU) IMPACTS GHRC_DAAC STAC Catalog 2020-01-15 2020-02-29 -75.5894, 37.919, -75.3588, 38.2064 https://cmr.earthdata.nasa.gov/search/concepts/C1995564696-GHRC_DAAC.umm_json The Autonomous Parsivel Unit (APU) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from January 15, 2020 through February 29, 2020. proprietary area_of_shrub_forest-123_1.0 Area of shrub forest ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814712-ENVIDAT.umm_json All plots classified as shrub forest according to the NFI forest definition. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary arthropod-biomass-abundance-species-richness-trends-limpach_1.0 Arthropod biomass, abundance and species richness trends over 32 years in the agricultural Limpach valley, Switzerland ENVIDAT STAC Catalog 2020-01-01 2020-01-01 7.3819542, 47.0815787, 7.528553, 47.1334543 https://cmr.earthdata.nasa.gov/search/concepts/C2789814758-ENVIDAT.umm_json Recent publications about declines in arthropod biomass, abundance and species diversity raise concerns and call for measures. Agricultural intensification is likely one cause for the negative trends. But rare long-term arthropod surveys conceal trends in arthropod communities in agricultural land. Here, we report about a standardized sampling of arthropod fauna in a Swiss agricultural landscape, repeated over 32 years (1987, 1997 and 2019). We sampled 8 sites covering 4 semi-natural and agricultural habitat types. Four trap types were used to capture a wide range of flying and ground dwelling arthropods between May and July. Over the three sampling periods, 58’255 specimens of 1’343 species were analysed. Mean arthropod biomass, abundance and species richness per trap was significantly higher in 2019 than in prior years and gamma diversity of the study area was highest in 2019. Biomass and abundance increased stronger in the flight traps than in the pitfall traps. The implementation of agri-environmental schemes has improved habitat quality since 1993, while landscape composition and pesticide and fertilizer use remained stable over the study period, both contributing to the findings. The results of this study contrast with outcomes of comparable investigations and highlight the importance of further long-term investigations on arthropod dynamics. Data are provided on request to contact person against bilateral agreement. proprietary asas_Not provided Advanced Solid-state Array Spectroradiometer (ASAS) USGS_LTA STAC Catalog 1988-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.umm_json The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle. The ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.). Data in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994. proprietary asas_l1b_562_1 BOREAS RSS-02 Level-1b ASAS Image Data: At-sensor Radiance in BSQ Format ORNL_CLOUD STAC Catalog 1994-04-19 1996-07-20 -106.32, 53.24, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2813527156-ORNL_CLOUD.umm_json The BOREAS RSS-02 team used the ASAS instrument, mounted on the NASA C-130 aircraft, to create at-sensor radiance images of various sites as a function of spectral wavelength, view geometry (combinations of view zenith angle, view azimuth angle, solar zenith angle, and solar azimuth angle), and altitude. The level-1b ASAS images of the BOREAS study areas were collected from April to September 1994 and March to July 1996. proprietary asasrefl_287_1 BOREAS RSS-02 Extracted Reflectance Factors Derived from ASAS Imagery ORNL_CLOUD STAC Catalog 1994-05-24 1996-07-20 -106.2, 53.24, -104.62, 53.99 https://cmr.earthdata.nasa.gov/search/concepts/C2813382300-ORNL_CLOUD.umm_json Contains calculated bidirectional reflectance factor means derived from extractions of C130-based ASAS measurements made during BOREAS. proprietary ascatcpex_1 Advanced Scatterometer (ASCAT) CPEX GHRC_DAAC STAC Catalog 2017-05-24 2017-07-16 160.241, 3.9062, -25.0958, 42.5176 https://cmr.earthdata.nasa.gov/search/concepts/C2428509185-GHRC_DAAC.umm_json The Advanced Scatterometer (ASCAT) CPEX dataset consists of ice probability, wind speed, and wind direction estimates collected by the ASCAT. The ASCAT is onboard the MetOp-A and MetOp-B satellites and uses radar to measure the electromagnetic backscatter from the wind-roughened ocean surface, from which data on wind speed and direction can be derived. These data were gathered during the Convective Processes Experiment (CPEX) field campaign. CPEX collected data to help answer questions about convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary +asosimpacts_1 Automated Surface Observing System (ASOS) IMPACTS GHRC_DAAC STAC Catalog 2019-12-29 2023-03-01 -89.694, 36.571, -67.791, 47.467 https://cmr.earthdata.nasa.gov/search/concepts/C1995871063-GHRC_DAAC.umm_json The Automated Surface Observing Systems (ASOS) IMPACTS dataset consists of a variety of ground-based observations during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. This ASOS dataset consists of 176 stations within the IMPACTS domain. Each station provides observations of surface temperature, dew point, precipitation, wind direction, wind speed, wind gust, sea level pressure, and the observed weather code. The ASOS data are available from December 29, 2019, through March 1, 2023, in netCDF-4 format. proprietary aspas_asmas_aat_3 Antarctic Specially Protected Areas and Antarctic Specially Managed Areas in the Australian Antarctic Territory - GIS polygon dataset. AU_AADC STAC Catalog 1998-01-01 2008-01-01 60.867, -72.967, 142.7, -66.217 https://cmr.earthdata.nasa.gov/search/concepts/C1457769795-AU_AADC.umm_json This record describes GIS polygon data (a shapefile) representing the boundaries of Antarctic Specially Protected Areas (ASPAs) and an Antarctic Specially Managed Area (ASMA) in the Australian Antarctic Territory for which Australia was the proponent or co-proponent. Also included is the boundary of ASPA 168 for which China was the proponent. The following is a list of the ASPAs and ASMA: ASPA 101 Taylor Rookery ASPA 102 Rookery Islands ASPA 103 Ardery Island and Odbert Island ASPA 135 North-east Bailey Peninsula ASPA 136 Clark Peninsula ASPA 143 Marine Plain ASPA 160 Frazier Islands ASPA 162 Mawson's Huts ASPA 164 Scullin and Murray Monoliths ASPA 167 Hawker Island ASPA 168 Mt Harding ASPA 169 Amanda Bay ASPA 174 Stornes ASMA 6 Larsemann Hills The data is available from a link in this metadata record and also, as a separate shapefile for each ASPA or ASMA, from the Antarctic Treaty Secretariat's Antarctic Protected Areas Database (see related url). GIS data representing the boundaries of other ASPAs and ASMAs is also available from the Antarctic Treaty Secretariat's Antarctic Protected Areas Database. proprietary asrb-dav_1.0 ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf ENVIDAT STAC Catalog 2017-01-01 2017-01-01 9.84827, 46.81277, 9.84827, 46.81277 https://cmr.earthdata.nasa.gov/search/concepts/C2789814851-ENVIDAT.umm_json Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH. ### References 1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019. 2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf. proprietary asrb-vf_1.0 ASRB_WFJVF: Shortwave and longwave radiation measurements (2 min) at the Weissfluhjoch research site, Davos ENVIDAT STAC Catalog 2016-01-01 2016-01-01 9.809204, 46.829631, 9.809204, 46.829631 https://cmr.earthdata.nasa.gov/search/concepts/C2789814947-ENVIDAT.umm_json Incoming and outgoing shortwave and longwave 2 min radiation measurements at the Weissfluhjoch research site, Davos, CH. The experimental site at the Weissfluhjoch (WFJ, 46.83 N, 9.81 E) is located at an altitude of 2540 m in the Swiss Alps near Davos. During the winter months, almost all precipitation falls as snow at this altitude. As a consequence, a continuous seasonal snow cover builds up every winter, with a maximum snow height ranging from 153–366 cm over the period 1934–2012. The measurement site is located in an almost flat part of a southeast oriented slope. ### References 1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019. 2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf. proprietary @@ -12448,7 +11082,6 @@ atree-forest-owner-clearances-offsetting_1.0 ATREE forest owners survey about fo atree-forest-owners-survey-about-climate-regulation-services-of-forests_1.0 ATREE forest owners survey about climate regulation services of forests ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814546-ENVIDAT.umm_json Forest owners of the Canton of Lucerne were survey about their willingness to employ different forest management measures to provicde climate regulation services by forests. Of the nearly 3000 forest owners that received an invitation to a online-survey and the 900 forest owners that received a paper and pencil survey, 1055 valid responses were received. The questionnaire contained a survey experiment in which 9 choice situations were presented to the respondents in which they had the choice between two options and the status quo. This survey experiment part of the survey was completed by 990 respondents. proprietary atree-q-methodology-forest-clearances-offsetting_1.0 ATREE Q-methodology statement sorts on forest clearances offsetting in the forest ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814556-ENVIDAT.umm_json "In Novdember 2019 about 19 experts on forest surface protection and forest clearances were invited to a workshop in order to discuss policy design and implementation problems regarding the offsetting of forest clearances. In Switzerland such offsetting can be provided under certain circumstances by implementing forest nature conservation measures in the forest instead of providing in-kind compensation, i.e. reafforestation on agricultural land. The workshop included the sorting of 34 statements – that were elaborated beforehand, partially also with help of the participants – according to the ""Q-methodology"" survey technique (participants arrange given statements about a certain subject into boxes that are normally distributed over a ""agree - do not agree"" answer scale). The participants included representatives from cantonal and national forest administrations, nature conservation NGOs, forest NGOs, spatial planning NGOs, private counseling enterprises as well as national, cantonal and regional forest owner organizations. The data allows a factor analytical differentiation of actors into groups with distinct positions towards forest clearance compensation as well as a positioning of these groups relative to each statement." proprietary atree-social-network-analysis-carbon-sequestration-lucerne_1.0 ATREE Social Network Analysis survey on policy options regarding CO2 mitigation and sequestration in wood and forest ENVIDAT STAC Catalog 2022-01-01 2022-01-01 8.0859375, 46.9348859, 8.470459, 47.2191951 https://cmr.earthdata.nasa.gov/search/concepts/C2789814569-ENVIDAT.umm_json "In January 2020 a social network analysis survey was conducted among forest policy stakeholders (at the organizational level) from the Canton of Lucerne as well as the national level. The aim was to elicit positions relative to a set of policy options currently discussed with respect to carbon mitigation and sequestration services of the forest, i.e. forest management and to establish information and collaboration network relations in order to identify actor coalitions as inspired by the ""actor coalition framework"" approach to policy analysis. Of the 66 questionnaires sent out, 51 were answered (77%). Only one additional organization was indicated as being missing from the provided list of stakeholder organizations." proprietary -atrs_Not provided Airborne Coherant Radar Sounding Data SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -70 https://cmr.earthdata.nasa.gov/search/concepts/C1214620687-SCIOPS.umm_json "Developmental airborne coherent radar sounding data collected over a variety of sounding targets in Antarctica, including a full gridded survey of subglacial Lake Vostok and its environs. This was an instrument development award, so the data are not of ""production"" quality. Receiver sensitivity documents are provided with the data. The data resides in 6, DLT 4 tapes (~30 Gb each)." proprietary au0103_1 Aurora Australis marine science cruise au0103 (CLIVAR_SR3) - CTD and ADCP data AU_AADC STAC Catalog 2001-10-29 2002-12-13 139, -68, 148, -43 https://cmr.earthdata.nasa.gov/search/concepts/C1214306658-AU_AADC.umm_json Oceanographic measurements were conducted along CLIVAR Southern Ocean meridional repeat transect SR3 between Tasmania and Antarctica from October to December 2001. A total of 135 CTD vertical profile stations were taken, more than half to within 20 m of the bottom. Over 2200 Niskin bottle water samples were collected for the measurement of salinity, dissolved oxygen, nutrients, CFC's, CCl4, dissolved inorganic carbon, alkalinity, 13C, DMS/DMSP/DMSO, halocarbons, barium, barite, ammonia, del30Si, dissolved and particulate organic carbon, particulate silica, 15N-nitrate, 18O, 234Th, 230Th, 231Pa, primary productivity and biological parameters, using a 24 bottle rosette sampler. Near surface current data were collected using a ship mounted ADCP. Two sediment trap moorings were serviced, and a third mooring was deployed at a new location. A summary of all CTD data and data quality is presented in the data report. This work was completed as part of ASAC project 1335. proprietary au0106_1 Aurora Australis Southern Ocean oceanographic data, voyage 6, 2000-2001 - KACTAS AU_AADC STAC Catalog 2001-01-01 2001-03-09 61.875, -68.26939, 148.11719, -43.61071 https://cmr.earthdata.nasa.gov/search/concepts/C1709216539-AU_AADC.umm_json Oceanographic measurements conducted on voyage 6 of the Aurora Australis of the 2000-2001 season. These data comprise CTD (Conductivity, Temperature and Depth) and ADCP (Acoustic Doppler Current Profiler) data. These data were collected by Mark Rosenberg. This metadata record was completed by AADC staff when the data were discovered bundled with acoustics data during a data cleaning exercise. Basic information about voyage 6: The voyage will complete a range of Marine Science activities off the Mawson Coast, and off the Amery Ice Shelf before calling at Davis to retrieve summer personnel and helicopters prior to returning to Hobart. Science equipment calibration will be undertaken at Mawson. (Marine Science activities were interrupted when the Aurora Australis was required to provide assistance in the Polar Bird's attempt to reach Casey, complete the station resupply and return to open water.) Leader: Dr Graham Hosie Deputy Leader: Mr Andrew McEldowney See the readme files in the downloads for more information. proprietary au0201_1 Aurora Australis Southern Ocean oceanographic data, voyage 1, 2002-2003 - ADCP data AU_AADC STAC Catalog 2002-10-13 2002-11-18 137.6, -66.6, 159.1, -42.8 https://cmr.earthdata.nasa.gov/search/concepts/C1834759929-AU_AADC.umm_json "Oceanographic measurements conducted on voyage 7 of the Aurora Australis of the 2002-2003 season. These data are ADCP (Acoustic Doppler Current Profiler) data. These data were collected/collated by Mark Rosenberg. Final ADCP data for voyage au0201 (SAZ mooring turnaround and iceberg B9B experiment), Aurora Australis Voyage 1 2002/2003, 17th Oct 2002 to 18th Nov 2002. * The complete ADCP data for cruise au0201 are in the file: au020101.cny (ascii format) a0201dop.mat (matlab format) * The ""on station"" ADCP data (specifically, the data for which the ship speed was less than or equal to 0.35 m/s) are in the files: au0201_slow35.cny (ascii format) a0201dop_slow35.mat (matlab format) * The file bindep.dat shows the water depths (in metres) that correspond to the centre of each vertical bin. * The data are 30 minute averages. Each 30 minute averageing period starts from the time indicated. (so, e.g., an ensemble with time 120000 is the average from 120000 to 123000). * ADCP currents are absolute - i.e. ship's motion has been subtracted out. * Note that the top few bins can have bad data from water dragged along by the ship. * Beware of data when the ship is underway - it's often suspect. MATLAB VECTORS AND MATRICES: ============================ header info ----------- for header info: column number corresponds to 30 minute average number botd = mean bottom depth (m) over the 30 minute period cnav = GPS info: don't worry about it cruise = cruise number date = ddmmyy (UTC) ibcover = a bottom track parameter: don't worry about it icover = percentage of 30 minute averageing period covered by acceptable 3 minute ensembles lastgd = deepest accepted bin in this profile lat = mean latitude over the 30 minute period (decimal degrees) lon = mean longitude over the 30 minute period (decimal degrees) nbins = no. of bins logged (=60) shipspeed = scalar resultant of shipu and shipv shipu = ship's E/W velocity over the ground over 30 minute period (m/s, +ve east) shipv = ship's N/S velocity over the ground over 30 minute period (m/s, +ve north) time = hhmmss, time (UTC) at start of 30 minute averageing period dectime = time in decimal days from start of year 2002 (e.g. midday on January 2nd = 1.5000) adcp data --------- for adcp data matrices: row number corresponds to bin number column number corresponds to 30 min. average no. bindep = depth (m) to centre of each bin in the profile (will be the same for all profiles) ipcok = percentage of the profile period for which there was good data in this bin (N.B. data=NaN when ipcok=0) qc = a quality control value for each bin - see below speed = scalar resultant of u and v u = east/west current (m/s, +ve east) v = north/south current (m/s, +ve north) ASCII FORMAT FILE: ================== * The file starts with a 3 line header. * Then comes each 30 min. ensemble, as follows: First, a 1 line header, containing date (UTC) (dd-mmm-yyyy) time (UTC) (hh:mm:ss) % of 30 min average covered by acceptable 3 min. ensembles deepest accepted bin in the profile ship's E/W velocity over the ground over the 30min (m/s) ship's N/S velocity over the ground over the 30min (m/s) P= GPS position-derived velocity (D=direct GPS vel.; B=bottom track vel.) mean longitude over the 30 min. mean latitude over the 30 min. % of interfix period for which there was bottom depth information mean bottom depth over the 30 min. 0 0 Next, the data, from the shallowest bin to the deepest bin: for each bin, there's 4 parameters: u = east/west current (m/s, +ve east) v = north/south current (m/s, +ve north) qc = quality control value - see below ipcok = percentage of the profile period for which there was good data in this bin Note that the data are written left to right across each line, then onto the next line, etc. (so 4 bins on a full line) quality control value: ---------------------- qc = %good / (Verr+0.05) where: %good = percent good pings after logging system screening Verr = RMS error velocity (m/s). Possible range of qc is 0-20, with an expected range of 0-10; values of 0-4 indicate very poor data; values above 8 indicate very good data." proprietary @@ -12510,7 +11143,6 @@ basin_border_670_1 LBA Regional Boundary for the Amazon and Tocantins River Basi bathy_proposedMPAs_eastantarctica_1 Bathymetry Compilation for Proposed Marine Protected Areas in East Antarctica AU_AADC STAC Catalog 1979-10-19 2010-12-02 32, -72.5, 150, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214313157-AU_AADC.umm_json The Australian Antarctic Division (AAD) has developed a proposal for the establishment of seven Marine Protected Areas (MPAs) located around east Antarctica for the purposes of marine ecosystem conservation. As seafloor morphology is a key component of marine ecosystems, this bathymetry compilation for the proposed MPAs was produced to support the AAD proposal. All bathymetry data available to Geoscience Australia at the time of compilation were used. This included multibeam and singlebeam acoustic data which were verified and processed to ensure the data were as accurate as possible. Processing included sound velocity corrections, navigation verification and the rejection of erroneous data points. Once processed, the data were gridded to 100m resolution and projected into suitable WGS84 UTM zones. The gridded data was exported into several formats to facilitate ease of use. The formats include xyz files, ESRI rasters, geoTIFs, CARISTM image files and soundings. The data and the technical report are available for download from URLs below. proprietary bats-and-nocturnal-insects-in-urban-green-areas_1.0 Bats and nocturnal insects in urban green areas ENVIDAT STAC Catalog 2020-01-01 2020-01-01 1.8237305, 47.2195681, 8.8110352, 51.5360856 https://cmr.earthdata.nasa.gov/search/concepts/C2789814542-ENVIDAT.umm_json Animal biodiversity in cities is generally expected to be uniformly reduced, but recent studies show that this is modulated by the composition and configuration of Urban Green Areas (UGAs). UGAs represent a heterogeneous network of vegetated spaces in urban settings that have repeatedly shown to support a significant part of native diurnal animal biodiversity. However, nocturnal taxa have so far been understudied, constraining our understanding of the role of UGAs on maintaining ecological connectivity and enhancing overall biodiversity. We present a well-replicated multi-city study on the factors driving bat and nocturnal insect biodiversity in three European cities. To achieve this, we sampled bats with ultrasound recorders and flying insects with light traps during the summer of 2018. Results showed a greater abundance and diversity of bats and nocturnal insects in the city of Zurich, followed by Antwerp and Paris. We identified artificial lighting in the UGA to lower bat diversity by probably filtering out light-sensitive species. We also found a negative correlation between both bat activity and diversity and insect abundance, suggesting a top-down control. An in-depth analysis of the Zurich data revealed divergent responses of the nocturnal fauna to landscape variables, while pointing out a bottom-up control of insect diversity on bats. Thus, to effectively preserve biodiversity in urban environments, UGAs management decisions should take into account the combined ecological needs of bats and nocturnal insects and consider the specific spatial topology of UGAs in each city. proprietary bb9fdc41-1a19-4793-aca1-a6f5f28d592d_NA TerraSAR-X - Staring Spotlight Images (TerraSAR-X Staring Spotlight) FEDEO STAC Catalog 2007-06-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207458066-FEDEO.umm_json "This collection contains radar image products of the German national TerraSAR-X mission acquired in Staring Spotlight mode. Staring Spotlight imaging allows for a spatial resolution of up to 25 cm. The scene size varies depending on the incidence angle. As an example, 4 km (across swath) x 3.7 km (in orbit direction) can be achieved at 60°. TerraSAR-X is a sun-synchronous polar-orbiting, all-weather, day-and-night X-band radar earth observation mission realized in the frame of a public-private partnership between the German Aerospace Center (DLR) and Airbus Defence and Space. For more information concerning the TerraSAR-X mission, the reader is referred to: https://www.dlr.de/content/de/missionen/terrasar-x.html" proprietary -bds_dragonfly_Not provided A Checklist of British and Irish Dragonfly Species SCIOPS STAC Catalog 1998-01-01 -8.41, 49.49, 2.39, 59.07 https://cmr.earthdata.nasa.gov/search/concepts/C1214611738-SCIOPS.umm_json "Dragonflies are among the most ancient of living creatures. Fossil records, clearly recognisable as dragonflies, go back to Carboniferous times which means that they date back almost 300 million years, predating pterodactyls by 100 million years and birds by some 150 million. It would he tragic if, after surviving such an unimaginable number of years, it should be our generation that witnesses the decline of these fascinating and beautiful insects. The British Dragonfly Society maintains a checklist of British and Irish dragonflies. This checklist includes all British and Irish species including migrants, vagrants and species now believed extinct in the British Isles. The species name provides a link to a photograph where available. Information was obtained from ""http://www.british-dragonflies.org.uk/content/uk-species""." proprietary beaver_sat_1 Beaver Lake Satellite Image and Topographic Double-sided Map 1:100 000 AU_AADC STAC Catalog 1990-05-01 1990-05-31 67, -71, 69, -70 https://cmr.earthdata.nasa.gov/search/concepts/C1214313272-AU_AADC.umm_json Double-sided satellite image and topographic map of Beaver Lake, Antarctica. These maps were produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1990. Both maps are at a scale of 1:100 000. The satellite image map was produced from SPOT 1 and LANDSAT 5 TM scenes. It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves, stations/bases and gives some historical text information. The map has both geographical and UTM co-ordinates. Contours on the topographic map were derived from Russian maps (values have not been verified.) This map is also projected on a transverse mercator projection, and shows traverses/routes/foot track charts, bases/stations, glaciers/ice shelves, survey marks, and gives some historical text information. proprietary bech_nest_locations_1 Adelie Penguin nest locations on Bechervaise Island AU_AADC STAC Catalog 2000-02-01 2000-02-22 62.8084, -67.5879, 62.8152, -67.5863 https://cmr.earthdata.nasa.gov/search/concepts/C1214313158-AU_AADC.umm_json This dataset represents the locations of Adelie Penguin nests in colonies K, L and Q on Bechervaise Island, Holme Bay, Antarctica. Attributes include colony, nest number and tag colour. The dataset contains three files - an image file and two zip files. The image file, mapping_grid.jpg, is a diagram showing the grid used for plotting the colony L nest locations. The zip file, bech_penguin_nests.zip, contains shapefiles representing the Adelie Penguin nest locations, Bechervaise Island. The zip file, transform_nests_colonyL.zip, provides further information about the georeferencing of the colony L nest locations. proprietary beech_stress_thresholds_1.0 Stress thresholds of mature European beech trees ENVIDAT STAC Catalog 2020-01-01 2020-01-01 6.5368652, 45.9799133, 9.7009277, 47.6044342 https://cmr.earthdata.nasa.gov/search/concepts/C2789814551-ENVIDAT.umm_json This data set contains the data presented in the figures 1-6 in Walthert et al. (2020): From the comfort zone to crown dieback: sequence of physiological stress thresholds in mature European beech trees across progressive drought. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2020.141792. A detailed methodical description of the data can be found in the Material and Methods section of the paper. Drought responses of mature trees are still poorly understood making it difficult to predict species distributions under a warmer climate. Using mature European beech (Fagus sylvatica L.), a widespread and economically important tree species in Europe, we aimed at developing an empirical stress-level scheme to describe its physiological response to drought. We analysed effects of decreasing soil and leaf water potential on soil water uptake, stem radius, native embolism, early defoliation and crown dieback with comprehensive measurements from overall nine hydrologically distinct beech stands across Switzerland, including records from the exceptional 2018 drought and the 2019/2020 post-drought period. Based on the observed responses to decreasing water potential we derived the following five stress levels: I (predawn leaf water potential >-0.4 MPa): no detectable hydraulic limitations; II (-0.4 to -1.3): persistent stem shrinkage begins and growth ceases; III (-1.3 to -2.1): onset of native embolism and defoliation; IV (-2.1 to -2.8): onset of crown dieback; V (<-2.8): transpiration ceases and crown dieback is >20%. Our scheme provides, for the first time, quantitative thresholds regarding the physiological downregulation of mature European beech trees under drought and therefore synthesises relevant and fundamental information for process-based species distribution models. Moreover, our study revealed that European beech is drought vulnerable, because it still transpires considerably at high levels of embolism and because defoliation occurs rather as a result of embolism than preventing embolism. During the 2018 drought, an exposure to the stress levels III-V of only one month was long enough to trigger substantial crown dieback in beech trees on shallow soils. On deep soils with a high water holding capacity, in contrast, water reserves in deep soil layers prevented drought stress in beech trees. This emphasises the importance to include local data on soil water availability when predicting the future distribution of European beech. proprietary @@ -12544,7 +11176,6 @@ biomdens_450_1 BOREAS TE-18 Biomass Density Image of the SSA ORNL_CLOUD STAC Cat biomebg2_296_1 BOREAS RSS-08 BIOME-BGC SSA Simulations of Annual Water and Carbon Fluxes ORNL_CLOUD STAC Catalog 1994-01-01 1996-12-31 -111, 49, -89, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2813394229-ORNL_CLOUD.umm_json Derived maps of landcover type and crown and stem biomass as model inputs to determine annual evapotranspiration, gross primary production, autotrophic respiration and net primary productivity within the BOREAS SSA-MSA, at a 30 m spatial resolution. Mode proprietary biomebgc_295_1 BOREAS RSS-08 BIOME-BGC Model Simulations at Tower Flux Sites in 1994 ORNL_CLOUD STAC Catalog 1994-01-01 1994-12-31 -106.2, 53.63, -98.29, 55.9 https://cmr.earthdata.nasa.gov/search/concepts/C2807643677-ORNL_CLOUD.umm_json BIOME-BGC is a general ecosystem process model designed to simulate biogeochemical and hydrologic processes across multiple scales. BIOME-BGC is used to estimate daily water and carbon budgets for the BOREAS tower flux sites for 1994. proprietary block_invertebrates_1 A dataset of Antarctic and sub-Antarctic invertebrates AU_AADC STAC Catalog 1901-12-01 1982-12-29 -155, -84, 180, -38 https://cmr.earthdata.nasa.gov/search/concepts/C1214313344-AU_AADC.umm_json The dataset was compiled from papers entered into Block's bibliography of invertebrate occurrences in the Antarctic and sub-Antarctic. The dataset provides a comprehensive list of all terrestrial invertebrates recorded from the Antarctic and sub-Antarctic (at that time). Data were entered into an Excel spreadsheet, which contains approximately 3500 entries. This dataset forms part of the work completed for Australian Antarctic Science (AAS) project 1146 (ASAC_1146) and the RiSCC program, AAS project 1015 (ASAC_1015). Papers from the Block Bibliography are available as a separate collection in the Australian Antarctic Division Library. This dataset has also been incorporated into the biodiversity database, which can be found at the provided URL. proprietary -blue_ice_core_DML2004_AS_Not provided 101.1 m long horizontal blue ice core collected from Scharffenbergbotnen, DML, Antarctica, in 2003/2004 SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214614210-SCIOPS.umm_json Horizontal blue ice core collected from the surface of a blue ice area in Scharffenbergbotnen, Heimefrontfjella, DML. Samples were collected in austral summer 2003/2004 and transported to Finland for chemical analyses. The blue ice core is estimated to represent a 1000-year period of climate history 20 - 40 kyr B.P.. The results of the analyses will be available in 2005. proprietary bluegreen-ecological-network-data_1.0 Multi-Scale Prioritization framework for Urban Blue-Green Infrastructure Planning to Support Biodiversity: Data & Codes ENVIDAT STAC Catalog 2023-01-01 2023-01-01 7.7645874, 47.0925656, 9.0719604, 47.6320819 https://cmr.earthdata.nasa.gov/search/concepts/C3226081654-ENVIDAT.umm_json This data includes (1) Scripts to aggregate landscape resistance layers into squared and hexagonal grids (i.e., different representations and resolutions), (2) Input resistance layers and focal nodes in .txt format to run in Circuitscape (Python implementation v4.0.5). Circuitscape is a software tool for modeling and analyzing landscape connectivity, which simulates movement of organisms across landscapes by estimating resistance to movement across each point of the landscape. (3) Scripts for the ecological network analysis, and (4) environmental predictors for amphibian whole-life cycle habitats used to describe the local environment for BGI design (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related). proprietary bole_wood_mass_of_live_trees-50_1.0 Bole wood mass of live trees ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814548-ENVIDAT.umm_json Dry weight (mass) of the stemwood with bark of the living trees and shrubs starting at 12 cm dbh. The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary book-of-abstracts-from-plans-to-land-change-dynamics-of-urban-regions_1.0 From Plans to Land Change: Dynamics of Urban Regions. Book of Abstracts ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814557-ENVIDAT.umm_json "Book of abstracts from the virtual conference ""From Plans to Land Change: Dynamics of Urban Regions"" Cities and urban regions are among the most dynamic land-use systems in the world, with dramatic consequences for the provision of ecosystem services and the livelihood of people. Planning is a multifaceted activity with extensive experience in the management of these urbanization processes. However, our understanding of planning’s contribution to shaping urban land use, form and structure is still incomplete, with serious consequences for the efficacy of urban planning and land change models. This international conference aims to bring together the community of scholars working on planning evaluation and urban modelling. The participants are offered the opportunity to present their current research and to discuss how theoretical developments, data sources, comparative studies and modelling approaches might advance the field. The conference was financially supported by the CONCUR project and sustained by Swiss Federal Research Institute WSL." proprietary @@ -12554,7 +11185,6 @@ bratts_penguin_gis_1 Islands NE of Brattstrand Bluff penguin GIS dataset AU_AADC breeding_success_BI_1 Adelie penguin breeding success for Bechervaise Island, Mawson AU_AADC STAC Catalog 1990-10-01 2005-02-01 62.8055, -67.5916, 62.825, -67.5861 https://cmr.earthdata.nasa.gov/search/concepts/C1214313363-AU_AADC.umm_json Adelie penguin breeding success records for Bechervaise Island, Mawson since 1990-91. Data include counts of occupied nests and chick counts when either 2/3 of the nests have creched or when all nests have creched. Breeding success values are calculated as the number of chicks per occupied nest. Breeding Success = the number of chicks raised to fledging per nest with eggs Breeding success is calculated from four different whole island counts: 1) the number of incubating nests (i.e. the number of nest with eggs) - 'incubating nest count' 2) the number of brooding nests (i.e. the number of nests brooding chicks) - 'brooding chick count' 3) the number of chicks present when 2/3 of the nests have creched their chicks - '2/3-creche count' 4) the number of chicks present when all the nests have creche their chicks - 'fully-creche count' Each colony on the island is manually counted by field observers, using 'counters', three times each. Counts within 10% of each other are used to average the number of nests or chicks for each colony and then in later calculations to determine breeding success. Incubating nest counts are conducted on or about 2nd December; Brooding chick counts are conducted on or about the 7th January; 2/3-creche counts on or about the 19th January; and Fully-creche chick counts on or about 26th January. Whole island 2/3-creche and fully-creche chick count dates are determined from calculating when 2/3 and all study nests in the census area (study colonies) have creche their chicks. This work was completed as part of ASAC Project 2205, Adelie penguin research and monitoring in support of the CCAMLR Ecosystem Monitoring Project. The fields in this dataset are: Year Breeding success Occupied nests proprietary brok_5k_gis_1 Broknes Peninsula 1:5000 Topographic GIS Dataset AU_AADC STAC Catalog 1994-11-03 1994-11-17 76.2, -69.4333, 76.4333, -69.3333 https://cmr.earthdata.nasa.gov/search/concepts/C1214313345-AU_AADC.umm_json Broknes Peninsula, Larsemann Hills, 1:5000 GIS dataset. This dataset has been superseded by the datasets described by the metadata records: 'Larsemann Hills - Mapping from aerial photography captured February 1998' and 'Larsemann Hills - Mapping from Landsat 7 imagery captured January 2000'. These data have been archived as they have been superseded. proprietary broknes_lake_catchments_gis_1 Lake catchments on Broknes, Larsemann Hills AU_AADC STAC Catalog 1997-05-06 2001-08-14 76.285, -69.4193, 76.42, -69.3698 https://cmr.earthdata.nasa.gov/search/concepts/C1214313378-AU_AADC.umm_json Catchment boundaries of the the lakes on Broknes, Larsemann Hills. These catchments were generated using the FLOWDIRECTION and BASINS routines in the GRID module of ArcInfo GIS. proprietary -bromwich_0337948_1 A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5 SCIOPS STAC Catalog 1979-01-01 2002-08-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C1214586989-SCIOPS.umm_json This 3-year project (June 2004-May 2007) was funded by the National Science Foundation's Office of Polar Programs (Glaciology). We employed the Polar MM5 to model variability and change in the surface mass balance (the net accumulation of moisture) over Antarctica in recent decades. Available here are annually and seasonally resolved grids of atmospheric data simulated by Polar MM5 for the period Jan 1979-Aug 2002. The ERA-40 dataset provided the initial and boundary conditions for the simulations. The burden of validating the data provided is the responsibility of anyone choosing to download it. MODEL CONFIGURATION: The Polar MM5 simulations were performed on a 121 x 121 polar stereographic grid covering the Antarctic and centered over the South Pole. The model resolution is 60-km in each horizontal direction. Vertically, the domain contains 32 sigma levels ranging from the surface to 10 hPa. Atmospheric data (U,V,T,Q,P) and sea surface temperatures were provided by ERA-40. 25-km resolution daily sea ice concentration grids were provided by the National Snow and Ice Data Center to determine fractional ice coverage over ocean gridpoints. The model topography was interpolated from the 1-km resolution digital elevation model of Liu et al. (2001). Images of the model domain, topography and land use specifications can be found here. More information on the physics in Polar MM5 can be found on the Polar MM5 Webpage, http://polarmet.mps.ohio-state.edu/PolarMet/pmm5.html Please reference the following publication if you use the data in a publication: Monaghan, A. J., D. H. Bromwich, and S.-H. Wang, 2006: Recent trends in Antarctic snow accumulation from Polar MM5. Philosophical Trans. Royal. Soc. A, 364, 1683-1708. proprietary brownbay_bathy_dem_1 A bathymetric Digital Elevation Model (DEM) of Brown Bay, Windmill Islands AU_AADC STAC Catalog 1997-02-01 2000-02-05 110.54, -66.281, 110.548, -66.279 https://cmr.earthdata.nasa.gov/search/concepts/C1214308318-AU_AADC.umm_json This dataset is a Digital Elevation Model (DEM) of Brown Bay, Windmill Islands and contours and bathymetric contours derived from the DEM. The data are stored in a UTM zone 49 projection. They were created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA ARE NOT FOR NAVIGATION PURPOSES. proprietary bryophyte-observer-bias_1.0 Greater observer expertise leads to higher estimates of bryophyte species richness ENVIDAT STAC Catalog 2024-01-01 2024-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081769-ENVIDAT.umm_json This dataset contains bryophyte species count data and information about the observers bryophyte expertise for 2332 relevés conducted from 2011 to 2021 on 10-m2 plots in a long-term monitoring program in Switzerland. Plots were situated in raised bogs and fens of national importance, which were distributed across the whole country. The majority of the plots is represented by two relevés as sites are revisited every six years. The dataset was used in the paper mentioned below to test if species richness estimates differed among categories of observer expertise. Moser T, Boch S, Bedolla A, Ecker KT, Graf UH, Holderegger R, Küchler H, Pichon NA, Bergamini A (2024) Greater observer expertise leads to higher estimates of bryophyte species richness. _Journal of Vegetation Science_. (submitted) proprietary bunger_east_sat_1 Bunger Hills East Satellite Image Map 1:50 000 AU_AADC STAC Catalog 1992-06-01 1992-06-30 101, -66, 102, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313379-AU_AADC.umm_json Satellite image map of Bunger Hills East/Wilkes Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG Commercial (now Geoscience Australia), in Australia, in 1992. The map is at a scale of 1:50000, and was produced from four multispectral space imagery SPOT 1 scenes. It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary @@ -12564,13 +11194,53 @@ bunger_hills_spot5_dem_gis_1 Bunger Hills SPOT5 DEM (Digital Elevation Model) AU bunger_west_sat_1 Bunger Hills West Satellite Image Map 1:50 000 AU_AADC STAC Catalog 1992-06-01 1992-06-30 100, -66, 101, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214313353-AU_AADC.umm_json Satellite image map of Bunger Hills West/Wilkes Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG Commercial (now Geoscience Australia), in Australia, in 1992. The map is at a scale of 1:50000, and was produced from four multispectral space imagery SPOT 1 scenes. It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves, stations/bases and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary burning_emissions_752_1 SAFARI 2000 Biomass Burning Emissions, Selected Sites, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-11-24 2001-01-16 10, -35, 50, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2789024214-ORNL_CLOUD.umm_json Biomass burning is a major source for gaseous and particulate atmospheric pollution over southern Africa and globally. The purpose of this study was to quantify biomass burning emissions in an attempt to better understand and predict associated environmental impacts. Sixty biomass burning experiments were carried out November 2000-January 2001 in three regions of southern Africa that are representative of major regional ecosystem types: Etosha National Park (Namibia), Kruger National Park (South Africa), and woodland sites in Zambia and Malawi. proprietary bvoc_flux_759_1 SAFARI 2000 BVOC Measurements at Skukuza and Maun Flux Towers, Wet Season 2001 ORNL_CLOUD STAC Catalog 2001-02-01 2001-02-12 23.55, -19.9, 23.55, -19.9 https://cmr.earthdata.nasa.gov/search/concepts/C2780105326-ORNL_CLOUD.umm_json Biogenic volatile organic compound (BVOC) emissions were measured in a Colophospermum mopane woodland near Maun, Botswana, and in a Combretum-Acacia savanna in Kruger National Park, 13 km from Skukuza, Republic of South Africa (RSA) during the 2001 wet season campaign of SAFARI 2000. In addition, relaxed eddy accumulation (REA) measurements of BVOC fluxes were made on flux towers at these sites, where net CO2 emissions were also measured simultaneously. proprietary -c05fa2267e6e03d0e5b9bb6429fdbb974a8194a1_Not provided 3 year daily average solar exposure map Mali 3Km GRAS August 2008-2011 SCIOPS STAC Catalog 2008-03-01 2011-03-31 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214604040-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for August. proprietary c0b9f42f-640a-44e0-9080-7e80081942c9_NA MERIS - Water Parameters - North Sea, Daily FEDEO STAC Catalog 2005-04-22 2010-03-18 -6.10393, 49.9616, 11.4301, 61.9523 https://cmr.earthdata.nasa.gov/search/concepts/C2207458012-FEDEO.umm_json The Medium Resolution Imaging Spectrometer (MERIS) on Board ESA’s ENVISAT provides spectral high resolution image data in the visible-near infrared spectral region (412-900 nm) at a spatial resolution of 300 m. For more details on ENVISAT and MERIS see http://envisat.esa.int/ This product developed in the frame of the MAPP project (MERIS Application and Regional Products Projects) represents the chlorophyll concentration of the North Sea derived from MERIS data. The product is a cooperative effort of DLR-DFD and the Institute for Coastal Research at the GKSS Research Centre Geesthacht. DFD pre-processed up to the value added level whenever MERIS data for the North Sea region was received and positively checked for a water area large enough for a suitable interpretation. For more details the reader is referred tohttp://wdc.dlr.de/sensors/meris/ and http://wdc.dlr.de/sensors/meris/documents/Mapp_ATBD_final_i3r0dez2001.pdfThis product provides daily maps. proprietary c183044b88734442b6d37f5c4f6b0092_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (ensemble product), Version 2.6 FEDEO STAC Catalog 2002-01-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143201-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily, monthly and yearly gridded aerosol products from the AATSR instrument on the ENVISAT satellite. The data is an uncertainty-weighted ensemble of the outputs of three separate algorithms (the SU, ADV, and ORAC algorithms.) This product is version 2.6 of the ensemble product. Data is provided for the period 2002 to 2012. In the early period, it also contains data from the ATSR-2 instrument on the ERS-2 satellite. A separate ATSR-2 product covering the period 1995-2001 is also available, and together these form a continuous timeseries from 1995-2012.For further details about these data products please see the documentation. proprietary c2af8764c84744de87a69db7fecf7af9_NA ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE product, Version 06.1 FEDEO STAC Catalog 1991-08-05 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142704-FEDEO.umm_json The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.The v06.1 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2020-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 proprietary -c2d1361c3fcbc6c7b60b35791f7bbc45bf8079dc_Not provided 3 year daily average solar exposure map Mali 3Km GRAS January 2008-2011 SCIOPS STAC Catalog 1970-01-01 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214603977-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for January. proprietary c4_percent_1deg_932_1 ISLSCP II C4 Vegetation Percentage ORNL_CLOUD STAC Catalog 1993-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784880272-ORNL_CLOUD.umm_json The photosynthetic composition (C3 or C4) of vegetation on the land surface is essential for accurate simulations of biosphere-atmosphere exchanges of carbon, water, and energy. C3 and C4 plants have different responses to light, temperature, CO2, and nitrogen; they also differ in physiological functions like stomatal conductance and isotope fractionation. A fine-scale distribution of these plant types is essential for earth science modeling.The C4 percentage is determined from data sets that describe the continuous distribution of plant growth forms (i.e., the percent of a grid cell covered by herbaceous or woody vegetation), climate classifications, the fraction of a grid cell covered in croplands, and national crop type harvest area statistics. The staff from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II have made the original data set consistent with the ISLSCP-2 land/water mask. This data set contains a single file in ArcInfo ASCIIGRID format.This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. proprietary c4a7495d-6275-4169-8ceb-59cfaa2dd09b_NA METOP GOME-2 - Water Vapour (H2O) - Global FEDEO STAC Catalog 2007-01-23 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207458016-FEDEO.umm_json The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational H2O total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV/VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The total H2O column is retrieved from GOME solar backscattered measurements in the red wavelength region (614-683.2 nm), using the Differential Optical Absorption Spectroscopy (DOAS) method. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/ proprietary +c4aaero_1 CAMEX-4 AEROSONDE V1 GHRC_DAAC STAC Catalog 2001-08-19 2001-09-10 -81.4325, 30.2039, -80.649, 30.5738 https://cmr.earthdata.nasa.gov/search/concepts/C1979080632-GHRC_DAAC.umm_json The CAMEX-4 Aerosonde dataset contains temperature, humidity, and atmospheric pressure measurements collected to study the boundary layer below levels where traditional hurricane reconnasissance aircaft fly. The Aerosonde is an unmanned aerial vehicle with a wingspan of 2.9 meters (~9 feet) weighing approximately 14 kg (~31 lbs). Carrying a payload of air pressure, temperature and humidity probes, the aircraft can fly at altitudes from near the surface to 21,000 feet at speeds of 50-95 mph for periods of up to 30 hours. Controlled by dual computers and navigated by GPS, the Aerosonde is designed to economically collect meteorological data over a wide area. proprietary +c4dcm_1 CAMEX-4 CLOUD MICROPHYSICS V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.215, 16.5317, -58.635, 39.71 https://cmr.earthdata.nasa.gov/search/concepts/C1979080915-GHRC_DAAC.umm_json The Cloud Microphysics dataset consists of particle size distributions from three instruments, the 2D-P (two dimensional precipitation probe), the 2D-C (two dimensional cloud probe) and the FSSP (Forward Scattering Spectrometer Probe). These three instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.3-6400 micrometers. Data is in the form of images and ascii tables. proprietary +c4dcstar_1a CAMEX-4 CONICALLY-SCANNING TWO-LOOK AIRBORNE RADIOMETER (C-STAR) V1a GHRC_DAAC STAC Catalog 2001-08-18 2001-09-24 -88.602, 16.3047, -58.4319, 40.0139 https://cmr.earthdata.nasa.gov/search/concepts/C1979093102-GHRC_DAAC.umm_json The CAMEX-4 Conically-Scanning Two-Look Airborne Radiometer (C-STAR) dataset was collected by the Conically-Scanning Two-look Airborne Radiometer (C-STAR), which was deployed during the Fourth Convection and Moisture Experiment (CAMEX-4). C-STAR data were collected at 37GHz (in the microwave part of the electromagnetic spectrum) for the period of 8 Aug 2001 through 24 Sept 2001. The CAMEX-4 missions studied hurricanes over land and ocean in the U.S., Gulf of Mexico, Caribean, and Western Atlantic Ocean, and made use of multiple aircraft and research-quality radar, lightning, and radiosonde sites. proprietary +c4dcvi_1 CAMEX-4 CVI CLOUD CONDENSED WATER CONTENT V1 GHRC_DAAC STAC Catalog 2001-09-06 2001-09-10 -84.4033, 24.455, -58.635, 39.0433 https://cmr.earthdata.nasa.gov/search/concepts/C1979094668-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Forward and NADIR Video dataset consists of DVDs which capture the forward and nadir views from the NASA DC-8 aircraft during CAMEX-4 flights. These videos contain timestamps and the recorded voice channels of the scientists and mission managers aboard the aircraft during flights studying storm conditions. proprietary +c4dd8d_1 CAMEX-4 DC-8 DROPSONDE SYSTEM V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -87.623, 16.615, -59.32, 39.068 https://cmr.earthdata.nasa.gov/search/concepts/C1979094831-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Dropsonde System dataset was collected by the DC-8 Dropsonde System (D8D) uses dropwindsonde and Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temperature, humidity, windspeed/direction, pressure, and location in 3 dimensional space during the sonde's descent once each half second. Measurements are transmitted to the aircraft from the time of release until impact with the ocean's surface. proprietary +c4dicats_1 CAMEX-4 DC-8 INFORMATION COLLECTION AND TRANSMISSION SYSTEM V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.215, 16.5317, -58.6333, 39.71 https://cmr.earthdata.nasa.gov/search/concepts/C1979095265-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Information Collection and Transmission System dataset was collected by the Information Collection and Transmission System (ICATS), which is designed to: 1) Interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters, 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations, 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval. proprietary +c4djlh_1 CAMEX-4 JPL LASER HYGROMETER V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.215, 16.5317, -58.635, 39.71 https://cmr.earthdata.nasa.gov/search/concepts/C1979096272-GHRC_DAAC.umm_json The CAMEX-4 JPL Laser Hygrometer dataset contains water vapor volume and mixing ratio concentractions collected during the CAMEX-4 campaign to study tropical cyclones. The Laser Hygrometer measures in situ water vapor content using a tuneable laser emitting at 1.37 microns. Absorption at that wavelength is a function of water vapor content, thus measuring the amount of absorption in an open path beyond the aircraft boundary layer, a value of water vapor pressure is made. The maximum sampling rate is 8 Hz, but the instrument is normally configured through the software for a 1Hz sampling rate. proprietary +c4dlase_1 CAMEX-4 LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1 GHRC_DAAC STAC Catalog 2001-08-15 2001-09-25 -116.19, 16.52, -58.63, 39.7 https://cmr.earthdata.nasa.gov/search/concepts/C1979096401-GHRC_DAAC.umm_json The CAMEX-4 LIDAR Atmospheric Sensing Experiment (LASE) dataset was collected by the LASE instrument, which is an airborne DIAL (Differential Absorption Lidar) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE operates by locking to a strong water vapor line and electronically tuning to any spectral position on the absorption line to choose the suitable absorption cross-section for optimum measurements over a range of water vapor concentrations in the atmosphere. During CAMEX-4, LASE operated from the NASA DC-8 using strong and weak water vapor lines in both the nadir and zenith modes, thereby simultaneously acquiring data below and above the aircraft. proprietary +c4dlip_1 CAMEX-4 DC-8 LIGHTNING INSTRUMENT PACKAGE (LIP) V1 GHRC_DAAC STAC Catalog 2001-08-03 2001-09-24 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979096536-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Lightning Instrument Package (LIP) dataset was collected by the ER-2 Lightning Instrument Package (LIP), which allows the vector components of the electric field (i.e, Ex, Ey, Ez) to be readily obtained, and thus, greatly improves our knowledge of the electrical structure of storms overflown during the CAMEX-4 campaign. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. Storm electric currents can be derived using the electric field and air conductivity measurements. proprietary +c4dmms_1 CAMEX-4 DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.215, 16.531, -58.635, 39.712 https://cmr.earthdata.nasa.gov/search/concepts/C1979096645-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Meteorological Measurement System (MMS) was collected by the MMS, which consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The MMS data was collected during the CAMEX-4 campaign to study physical properties of atmospheric temperature. proprietary +c4dmtp_1 CAMEX-4 DC-8 MICROWAVE TEMPERATURE PROFILER (MTP) V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.213, 16.531, -58.635, 39.71 https://cmr.earthdata.nasa.gov/search/concepts/C1979097179-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Microwave Temperature Profiler (MTP) dataset was collected by the MTP, which is a passive microwave radiometer used during the CAMEX-4 campaign to collect data measurements of thermal emmission from oxygen molecules in the atmosphere for a selection of elevation angles. Current observing frequencies are 56.6 and 58.8 GHz. Measured brightness temperature versus elevation angle is converted to air temperature versus altitude using a statistical retrieval procedure. An altitude temperature profile is produced every three km along the flight path. These data were collected from August 16 - September 25, 2002 from Jacksonville Naval Air Station, Florida. proprietary +c4dnevzor_1 CAMEX-4 DC-8 NEVZOROV TOTAL CONDENSED WATER CONTENT SENSOR V1 GHRC_DAAC STAC Catalog 2001-08-25 2001-09-23 -84.4033, 23.905, -58.635, 39.0433 https://cmr.earthdata.nasa.gov/search/concepts/C1979097324-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Nevzorov Total Condensed Water Content Sensor dataset was collected by the Nevzorov total condensed water content sensor which was used to measure the total water content of air sampled during the CAMEX-4 campaign. The Nevzorov water vapor probe flew aboard the NASA DC-8 aircraft during CAMEX-4 to study tropical storms and hurricanes. Nevzorov is a so-called hot-wire device, where two resistors are heated to evaporate all hydrometeors that touch their surfaces during the flight. Due to their shape, they are able to catch small droplets or droplets and ice crystals. The amount of energy necessary to evaporate particles is a direct measure of the liquid water content of the hydrometeor (liquid or frozen) and also gives an indication of the water vapor present. proprietary +c4dpr2_1 CAMEX-4 2ND GENERATION PRECIPITATION RADAR V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.215, 16.5617, -58.6883, 39.2033 https://cmr.earthdata.nasa.gov/search/concepts/C1979097458-GHRC_DAAC.umm_json The CAMEX-4 2nd Generation Precipitation Radar dataset was collected by the Second Generation Precipitation Radar (PR-2), which is a dual-frequency, Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem. The PR-2 Doppler radar was used during the CAMEX-4 campaign to collect data for studying tropical storms and cyclones. proprietary +c4dvid_1 CAMEX-4 DC-8 FORWARD AND NADIR VIDEO GHRC_DAAC STAC Catalog 2001-08-03 2001-09-26 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1995553210-GHRC_DAAC.umm_json The CAMEX-4 DC-8 Forward and NADIR Video dataset consists of DVDs which capture the forward and nadir views from the NASA DC-8 aircraft during CAMEX-4 flights. These videos contain timestamps and the recorded voice channels of the scientists and mission managers aboard the aircraft during flights studying storm conditions. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary +c4eampr_1 CAMEX-4 AMPR BRIGHTNESS TEMPERATURE (TB) V1 GHRC_DAAC STAC Catalog 2001-08-26 2001-09-25 -83.8166, 23.7836, -61.3679, 39.7399 https://cmr.earthdata.nasa.gov/search/concepts/C1979097903-GHRC_DAAC.umm_json The CAMEX-4 AMPR Brightness Temperature (TB) dataset was collected by the Advanced Microwave Precipitation Radiometer (AMPR), which was deployed during the Fourth Convection and Moisture Experiment (CAMEX-4). AMPR data were collected at four microwave frequencies (10.7, 19.35, 37.1 and 85.5 GHz) for the period of 26 August 2001 through 24 September 2001. The purpose of the CAMEX-4 mission was to study hurricanes over land and ocean in the U.S., Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, and radiosonde sites. proprietary +c4eedop_1 CAMEX-4 ER-2 DOPPLER RADAR V1 GHRC_DAAC STAC Catalog 2001-08-15 2001-09-26 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979098003-GHRC_DAAC.umm_json The CAMEX-4 ER-2 Doppler Radar dataset was collected by the ER-2 Doppler radar (EDOP), which is an X-band (9.6 GHz) Doppler radar mounted in the nose of ER-2. The instrument has two fixed antennas, one pointing at nadir and the second pointing approximately 33 degrees ahead of nadir. The beam width of the antenna is 3 degrees in the vertical and horizontal directions which, for a 20 km altitude, yields a nadir footprint at the surface of 1 km. proprietary +c4eehad_1 CAMEX-4 ER-2 HIGH ALTITUDE DROPSONDE V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-24 -82.028, 24.743, -62.005, 37.967 https://cmr.earthdata.nasa.gov/search/concepts/C1979098128-GHRC_DAAC.umm_json The CAMEX-4 ER-2 High Altitude Dropsonde dataset was collected by the ER-2 High Altitude Dropsonde System (EHAD), which used dropwinsondes fitted with Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temp, humidity, windspeed/direction, pressure) and location in 3 dimensional space during the sonde's descent once each half second. Measurements was transmitted to the aircraft from the time of release until impact with the ocean's surface. proprietary +c4ehamsr_1 CAMEX-4 HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.47, 13.4, -48.56, 39.45 https://cmr.earthdata.nasa.gov/search/concepts/C1979098226-GHRC_DAAC.umm_json The CAMEX-4 High Altitude MMIC Sounding Radiometer (HAMSR) dataset was collected by the High Altitude Monolithic Microwave Integrated Circuit (MMIC) Sounding Radiometer (HAMSR), which is a microwave atmospheric sounder recently developed by JPL under the NASA Instrument Incubator Program. Operating with 25 spectral channels in the 50-190 HGz region, it provides measurements that can be used to infer the 3-D distribution of temperature, water vapor, and liquid water in the atmosphere, even in the presence of clouds. HAMSR was mounted in a wing pod of a NASA ER-2 research aircraft. proprietary +c4elip_1 CAMEX-4 ER-2 LIGHTNING INSTRUMENT PACKAGE (LIP) V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.4781, 16.5617, -61.9795, 39.4583 https://cmr.earthdata.nasa.gov/search/concepts/C1979098477-GHRC_DAAC.umm_json The CAMEX-4 ER-2 Lightning Instrument Package (LIP) dataset was collected by the ER-2 LIP, which allows the vector components of the electric field (i.e, Ex, Ey, Ez ) to be readily obtained, and thus greatly improves our knowledge of the electrical structure of storms overflown. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. Storm electric currents can be derived using the electric field and air conductivity measurements. proprietary +c4emas_1 CAMEX-4 ER-2 MODIS AIRBORNE SIMULATOR (MAS) V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.4527, 16.4311, -61.8203, 39.6253 https://cmr.earthdata.nasa.gov/search/concepts/C1979098622-GHRC_DAAC.umm_json The MODIS Airborne Simulator (MAS) is an airborne scanning spectrometer that acquires high spatial resolution imagery of cloud and surface features from its vantage point on-board a NASA ER-2 high-altitude research aircraft. This dataset has visible and infrared imagery calibrated to at-sensor radiance. Included are many associated browse files including the flight line tracks, and also text files of nadir brightness temperature and radiance for selected bands. proprietary +c4emtp_1 CAMEX-4 ER-2 MICROWAVE TEMPERATURE PROFILER V1 GHRC_DAAC STAC Catalog 2001-08-26 2001-09-25 -85.744, 24.19, -61.98, 39.458 https://cmr.earthdata.nasa.gov/search/concepts/C1979099369-GHRC_DAAC.umm_json The CAMEX-4 ER-2 Microwave Temperature Profiler dataset was collected by the Microwave Temperature Profiler (MTP), which is a passive microwave radiometer which measures the thermal emission from oxygen molecules in the atmosphere for a selection of elevation angles. Current observing frequencies are 56.6 and 58.8 GHz. Measured brightness temperature versus elevation angle is converted to air temperature versus altitude using a statistical retrieval procedure. An altitude temperature profile is produced every three km along the flight path. Data were collected from the Jacksonville Naval Air Station, Florida during the CAMEX-4 campaign spanning from August 26 - September 26. 2001. proprietary +c4enav_1 CAMEX-4 ER-2 NAVIGATION DATA V1 GHRC_DAAC STAC Catalog 2001-08-18 2001-09-25 -88.4781, 16.5617, -63.4356, 39.4583 https://cmr.earthdata.nasa.gov/search/concepts/C1979099479-GHRC_DAAC.umm_json The CAMEX-4 ER-2 Navigation data files contain information recorded by on board navigation and data collection systems. In addition to typical navigation data (e.g. date, time, lat/lon and altitude) these files contain outside meteorological parameters such as wind speed and direction and temperature. These ascii text files was recorded every second for the length of the sortie. Additionally, graphical representations of these measured parameters are shown in .gif files. proprietary +c4enlh_1 CAMEX-4 NOAA LYMAN-ALPHA HYGROMETER V1 GHRC_DAAC STAC Catalog 2001-08-15 2001-09-26 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979099590-GHRC_DAAC.umm_json The CAMEX-4 NOAA Lyman-Alpha Hygrometer dataset was collected by the NOAA Lyman-alpha Total Water Hygrometer, which was flown during the fourth field campaign in the CAMEX series (CAMEX-4). CAMEX-4 ran from 16 August to 24 September 2001 and was based out of Jacksonville Naval Air Station, Florida, and included missions in the Gulf of Mexico, Caribbean and Western Atlantic. The experiment focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using both NASA-funded aircraft and surface remote sensing instrumentation. proprietary +c4eo3p_1 CAMEX-4 DUAL-BEAM UV-ABSORPTION OZONE PHOTOMETER V1 GHRC_DAAC STAC Catalog 2001-08-09 2001-09-26 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979099896-GHRC_DAAC.umm_json The CAMEX-4 Dual-Beam UV-Absorption Ozone Photometer dataset was measured by using a photometer consisting of a mercury lamp, two sample chambers that could be peridically scrubbed of ozone, and two detectors that measured the 254-nm radiation transmitted through the chamber from the lamp. The ozone number density was calculated using the ozone absorption cross-section at 254nm and the Beer-Lambert Law. The one second data collection rate at the minimum detectable concentration of ozone (one sigma) was 1.5 x 1010 molecules/cm3. proprietary +c4gandros_1 CAMEX-4 ANDROS ISLAND RAWINSONDE AND RADIOSONDES V1 GHRC_DAAC STAC Catalog 2001-08-16 2001-09-24 -77.844, 24.766, -77.842, 24.768 https://cmr.earthdata.nasa.gov/search/concepts/C1979100126-GHRC_DAAC.umm_json The CAMEX-4 Andros Lisland Rawinsonde and Radiosondes dataset was collected by using numerous rawinsondes (radiosondes), which were launched from Andros Island in support of CAMEX-4. These sondes provided atmospheric soundings of temperature, pressure, relative humidity, wind, and altitude. proprietary +c4gmipclo_1 CAMEX-4 MIPS CEILOMETER V1 GHRC_DAAC STAC Catalog 2001-08-05 2001-09-12 -81.7, 24.6, -81.5, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979100261-GHRC_DAAC.umm_json The CAMEX-4 MIPS Ceilometer dataset was collected by the University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS), which is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel Microwave Profiling Radiometer (MPR), Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset contains 15 minute averaged 3-D wind profiles.The ceilometer gathered backscatter power and up to three cloud base heights. proprietary +c4gmipfm_1 CAMEX-4 MIPS FIELD MILL V1 GHRC_DAAC STAC Catalog 2001-08-14 2001-09-14 -81.7, 24.6, -81.5, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979100395-GHRC_DAAC.umm_json The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of data from the Electric Field Mills which yield information about the atmospheric electrical fields above the instruments. proprietary +c4gmipmpr_1 CAMEX-4 MIPS MICROWAVE PROFILING RADIOMETER V1 GHRC_DAAC STAC Catalog 2001-08-15 2001-09-12 -81.7, 24.6, -81.5, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979100507-GHRC_DAAC.umm_json The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. The 12 channel microwave profiling radiometer provides profiles of temperature, water vapor and liquid water and integrated values of water vapor and liquid water from the surface to 10km every ~ 15 minutes. Cloud base temperature is also measured. proprietary +c4gmipsod_1 CAMEX-4 MIPS SODAR V1 GHRC_DAAC STAC Catalog 2001-09-07 2001-09-12 -81.7, 24.6, -81.5, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979100613-GHRC_DAAC.umm_json The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of cdf and mom files tarred together for a day. The 'cdf' file collects 15 minute average 3-D wind profiles from the Doppler Sodar starting at the beginning of each day. The 'mom' file contains data from each beam about radial velocity and backscattter intensity. Each horizontal beam is approximately 7 seconds apart; vertical beams are approximately 21 seconds apart. proprietary +c4gmipss1_1 CAMEX-4 MIPS SURFACE STATION 1 V1 GHRC_DAAC STAC Catalog 2001-08-15 2001-09-08 -81.7, 24.6, -81.5, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979100690-GHRC_DAAC.umm_json The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of data from Surface Station One containing multiple instruments including an anemometer, rain gauge, thermometer, pyranometer and barometer. Information, collected at 1Hz, includes windspeed and direction as well as precipitation, temperature/humidity, solar radiation, and atmospheric pressure. proprietary +c4gmipss2_1 CAMEX-4 MIPS SURFACE STATION 2 V1 GHRC_DAAC STAC Catalog 2001-08-26 2001-09-12 -81.7, 24.6, -81.5, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979100779-GHRC_DAAC.umm_json The University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS) is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset consists of data from Surface Station Two which contained multiple instruments including an anemometer, rain gauge, thermometer, pyranometer and barometer. Information, collected at 0.5 Hz, includes windspeed and direction as well as precipitation, temperature/humidity, solar radiation, and atmospheric pressure. proprietary +c4gmipwp_1 CAMEX-4 MIPS 915 MHZ DOPPLER WIND PROFILER V1 GHRC_DAAC STAC Catalog 2001-08-01 2001-09-14 -86.7, 24.68, -81.56, 34.7 https://cmr.earthdata.nasa.gov/search/concepts/C1979100871-GHRC_DAAC.umm_json The CAMEX-4 MIPS 915 MHZ Doppler Wind Profiler dataset was collected by the University of Alabama in Huntsville (UAH) Mobile Integrated Profiling System (MIPS), which is a mobile atmospheric profiling system. It includes a 915 MHz Doppler profiler, lidar ceilometer, 12 channel microwave profiling radiometer, Doppler Sodar, Radio Acoustic Sounding System (RASS), Field Mills, and surface observing station. This dataset contains 15 minute averaged 3-D wind profiles. Additionally, radial velocity and backscatter intensity data are contained in the dataset. proprietary +c4gmisrep_1 CAMEX-4 MISSION REPORTS V1 GHRC_DAAC STAC Catalog 2001-08-03 2001-09-24 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979101696-GHRC_DAAC.umm_json The Convection And Moisture EXperiment (CAMEX)-4 Mission Reports were filed every day that an aircraft flew in support of the experiment. The reports include a short description of the day's mission, its objective, and notes. proprietary +c4gnpol_1 CAMEX-4 NASA PORTABLE S-BAND MULTIPARAMETER WX RESEARCH RADAR V1 GHRC_DAAC STAC Catalog 2001-08-17 2001-09-28 -83.1892, 23.2469, -80.1939, 25.9456 https://cmr.earthdata.nasa.gov/search/concepts/C1979101817-GHRC_DAAC.umm_json The CAMEX-4 NASA Portable S-Band Multiparameter WX Research Radar dataset was collected by the NASA Portable S-band Multiparameter Weather Research Radar (NPOL), which is a Doppler S-band radar that when used continuously during an operation provides a full volume scan every ten minutes. Scans may be either 300km long range scans or 150km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities. proprietary +c4gsmart_1 CAMEX-4 SHARED MOBILE ATMOSPHERIC RESEARCH AND TEACHING RADARS V1 GHRC_DAAC STAC Catalog 2001-08-27 2001-09-28 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979101931-GHRC_DAAC.umm_json The CAMEX-4 Shared Mobile Atmospheric Research and Teching Radars dataset was collected by the Shared Mobile Atmospheric Research and Teaching Radar (SMART-R), which is a portable 5 cm Doppler radar. All equipment (e.g., antenna, power generator, processors, and readout computers) are truck mounted to provide maximum transportability. Originally located in the Florida Keys during CAMEX-4, the radar was moved to the Venice Florida area for landfall of TS Gabrielle on September 14, 2001. proprietary +c4gtoga_1 CAMEX-4 TOGA RADAR V1 GHRC_DAAC STAC Catalog 2001-08-15 2001-09-28 -82.9178, 23.3167, -79.8983, 26.0336 https://cmr.earthdata.nasa.gov/search/concepts/C1979102483-GHRC_DAAC.umm_json The TOGA radar dataset consists of browse and radar data collected from the TOGA radar during the CAMEX-4 experiment. TOGA is a C-band linear polarized doppler radar using 500KW of radiated power. Products available include real time PPI scans of reflectivities and Doppler velocities. proprietary +c4gxpow_1 CAMEX-4 MOBILE X-BAND POLARIMETRIC WEATHER RADAR V1 GHRC_DAAC STAC Catalog 2001-08-28 2001-09-28 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979102628-GHRC_DAAC.umm_json The CAMEX-4 Mobile X-Band Polarimetric Weather Radar dataset was collected by the Mobile X-band Polarimetric Weather Radar on Wheels (X-POW), which is a Doppler scanning radar operating at 9.3 GHz with horizontal and vertical polarization. The X-POW was used for detection and detailing of surface rainfall rate and precipitation classification fields, as well as for 3D precipitation microphysical retrievals including water/frozen hydrometeor contents and drop size distribution profiles. The X-POW was located in the Florida Keys during the CAMEX-4 field experiment. proprietary +c4p3cp_1 CAMEX-4 NOAA WP-3D CLOUD PHYSICS V1 GHRC_DAAC STAC Catalog 2001-09-03 2001-09-19 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1995553578-GHRC_DAAC.umm_json The CAMEX-4 NOAA WP-3D Cloud Physics dataset used the NOAA WP-3D Orion aircraft, which has multiple meteorological and microphysical sensors. These include, for example, cloud particle imagers and temperature and dewpoint probes. CAMEX-4 focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. This dataset includes navigation data as well as the meteorological and microphysical data. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary +c4p3flt_1 CAMEX-4 NOAA WP-3D FLIGHT LEVEL DATA V1 GHRC_DAAC STAC Catalog 2001-09-09 2001-09-19 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1995553928-GHRC_DAAC.umm_json The CAMEX-4 NOAA WP-3D Flight Level Data dataset used the NOAA WP-3D Orion aircraft, which collects numerous in-situ meteorological measurements along with navigation and aircraft state parameters during each flight. CAMEX-4 focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. The WP-3D data are encoded on 8mm tapes in what is called the 'AOC Standard Tape Format'. Examples of meteorological data include total temperature, dew point, liquid water content and dynamic pressure (from several sensors). Aircraft parameters include angle of attack, airspeed, and slip angle. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary +c4p3rad_1 CAMEX-4 NOAA WP-3D RADAR V1 GHRC_DAAC STAC Catalog 2001-09-03 2001-09-19 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1995553989-GHRC_DAAC.umm_json The CAMEX-4 NPAA WP-3D Radar dataset used the NOAA WP-3D Orion aircraft, which has two separate research radars to collect meteorological data. One is mounted on the lower fuselage (C-band), and the other is located in the tail (X-band). CAMEX-4 focused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. Data from these radars consist of reflectivity in range and azimuth coordinates collected either in the horizontal (lower fuselage) or vertical (tail radar) planes. Doppler radial velocity is also collected by the tail radar. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary +c4p3vid_1 CAMEX-4 NOAA WP-3D VIDEO V1 GHRC_DAAC STAC Catalog 2001-09-03 2001-09-19 -100, 10, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1995554052-GHRC_DAAC.umm_json The CAMEX-4 NOAA WP-3D Video dataset was collected during the fourth field campaign in the CAMEX series (CAMEX-4), which ran from 16 August to 25 September, 2001 and was based out of Jacksonville Naval Air Station, Florida. An important addition to CAMEX-4 was the participation of the NOAA weather reconnaissance WP-3D that collected radar, video and microphysical data.The NOAA WP-3D Videos were created giving a forward, left, right and downward views relative to the aircraft. Each view is a separate tape. All are recoreded in SVHS format in compressed time mode. That means that the video shows time passing at a rate approximately 12.5 times that of normal speed (e.g. 1 minute real time takes 5 seconds on the video). For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary +c4sg8_1 CAMEX-4 GOES-8 PRODUCTS V1 GHRC_DAAC STAC Catalog 2001-08-03 2001-09-21 -130, 15, -10, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1979102757-GHRC_DAAC.umm_json The CAMEX-4 GOES-8 Products dataset was collected during the CAMEX-4 field campaign, which ocused on the study of tropical cyclone (hurricane) development, tracking, intensification, and landfalling impacts using NASA-funded aircraft and surface remote sensing instrumentation. In support of the fourth Convection and Moisture Experiment (CAMEX-4), imagery from the Geostationary Operational Environmental Satellite 8 (GOES-8) was collected and archived. Three channels were archived: channel 1-- visible (0.65 microns), channel 2-- infrared (11 microns) and channel 3-- known as the water vapor channel (6.75 microns). Data files are available in McIDAS format, and browse imagery is also available. proprietary c65ce27928f34ebd92224c451c2a8bed_NA ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI): Analysis long term product version 1.1 FEDEO STAC Catalog 1991-08-31 2010-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143126-FEDEO.umm_json The ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI) dataset accurately maps the surface temperature of the global oceans over the period 1991 to 2010, using observations from many satellites. The data provides an independently quantified SST to a quality suitable for climate research.The ESA SST CCI Analysis Long Term Product consists of daily, spatially complete fields of sea surface temperature (SST), obtained by combining the orbit data from the AVHRR and ATSR ESA SST CCI Long Term Products, using optimal interpolation to provide SSTs where there were no measurements. These data cover the period between 09/1991 and 12/2010.The Version 1.1 data is an update of the Version 1.0 dataset.Version 1.0 of this dataset is cited in: Merchant, C. J., Embury, O., Roberts-Jones, J., Fiedler, E., Bulgin, C. E., Corlett, G. K., Good, S., McLaren, A., Rayner, N., Morak-Bozzo, S. and Donlon, C. (2014), Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI). Geoscience Data Journal. doi: 10.1002/gdj3.20 proprietary c88_data_1 Fish biological and stomach contents data - Casey 1988 AU_AADC STAC Catalog 1988-01-01 1988-12-31 110, -67, 112, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214313382-AU_AADC.umm_json Data from fish captured by Erwin, Casey 1988. Includes fish size, weight, sex, reproductive stage data as well as quantitative stomach contents data and qualitative position data. Approximate locations where fish were caught are provided in the database. Additionally an approximate image map is also provided as a visual reference. These data are stored in an Access Database. Additionally, another Microsoft Access database containing data from this cruise, plus several others is available for download from the URL given below. The Entry ID's of the other metadata records also related to this data are: AADC-00038 AADC-00068 AADC-00073 AADC-00075 AADC-00080 AADC-00082 c88_data The fields in this dataset are: Cruises Date Location Latitude Longitude Species Gear Length Weight Sex Gonad Eye Otolith Stomach Lifestage Family proprietary calibgas_500_1 BOREAS Calibration Gas Standards ORNL_CLOUD STAC Catalog 1994-05-01 1996-11-30 -111, 49, -93, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2761665325-ORNL_CLOUD.umm_json In order to improve the comparability of trace gas measurements made by various science teams, the BOReal Ecosystem-Atmosphere Study (BOREAS) obtained several cylinders of carbon dioxide (CO2) and methane (CH4) that were used as calibration standards. proprietary @@ -12624,6 +11294,12 @@ climate_pressure_1 ACE CRC and Australian Antarctic Division Climate Data Set - climate_sea_ice_1 Antarctic CRC and Australian Antarctic Division Climate Data Set - Northern extent of Antarctic sea ice AU_AADC STAC Catalog 1973-01-18 1996-12-19 -180, -80, 180, -50 https://cmr.earthdata.nasa.gov/search/concepts/C1214313423-AU_AADC.umm_json This dataset contains the digitisation of one U.S. Navy/NOAA Joint Ice Facility sea ice extent and concentration map monthly to give the latitude and longitude of the northern extent of the Antarctic sea ice. Maps were produced weekly, but have been digitised monthly, since distribution began in January 1973 (except August 1985), until December 1996. Maps were digitised at each 10 degrees of longitude, and the longitude, distance from the south pole to the northern edge of the sea ice at that longitude, and latitude of that edge is given, as well as the mean distance and latitude for that map. Summary tabulations (sea ice northern extent latitudes at each 10 degree of longitude each year, grouped by month) and mean monthly sea ice extent statistics are also available. proprietary climate_temps_1 ACE CRC and Australian Antarctic Division Climate Data Set - Mean monthly surface air temperatures AU_AADC STAC Catalog 1901-01-01 2002-12-31 -180, -80, 180, -17 https://cmr.earthdata.nasa.gov/search/concepts/C1214313410-AU_AADC.umm_json This dataset consists of tabulations of mean monthly surface air temperature for most occupied stations in Antarctic and the Southern Ocean. Some South Pacific Island stations are also included, along with a few continent based stations. The data have been collected from various climate sources world wide, and spans varying years ranging between 1901 and 2002. proprietary climatological-snow-data-1998-2022-oshd_1.0 Climatological snow data since 1998, OSHD ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081762-ENVIDAT.umm_json This dataset comprises the climatology on gridded data of snow water equivalent and snow melt runoff spanning 1998-2022, with a spatial resolution of 1 km and daily temporal resolution. This data was produced with the conceptual OSHD model (Temperature Index Model). proprietary +cmimpacts_1 UND Cloud Microphysics IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-25 2022-02-25 -90.429, 33.261, -64.987, 47.275 https://cmr.earthdata.nasa.gov/search/concepts/C1997744632-GHRC_DAAC.umm_json The UND Cloud Microphysics IMPACTS dataset consists of cloud particle measurements collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The UND Cloud Microphysics IMPACTS dataset files are stored in ASCII format from January 25, 2020 through February 26, 2020, and from January 6, 2022 through February 25, 2022. proprietary +cmx3aeri_1 CAMEX-3 ATMOSPHERIC EMITTED RADIANCE INTERFEROMETER (AERI) V1 GHRC_DAAC STAC Catalog 1998-08-04 1998-09-20 -78.584, 24.34, -77.403, 25.139 https://cmr.earthdata.nasa.gov/search/concepts/C1979102909-GHRC_DAAC.umm_json The Atmospheric Emitted Radiance Interferometer (AERI) was used to make atmospheric temperature and moisture retrievals. AERI provides absolutely calibrated radiances which can be used for forward calculation comparisons of radiosonde and LIDAR (for CAMEX-3, the SRL) profiles and provides a reference to the airborne and ground based remote sensing instruments. Additionally, AERI radiances contain valuable temperature and water vapor information which can be used to retrieve planetary boundary layer thermodynamics. The University of Wisconsin-Madison, Space Science and Engineering Center was responsible for the AERI data collection during CAMEX-3 campaign. proprietary +cmx3andros_1 CAMEX-3 ANDROS ISLAND RAWINSONDE AND RADIOSONDES V1 GHRC_DAAC STAC Catalog 1998-08-04 1998-09-20 -78.584, 24.34, -77.403, 25.139 https://cmr.earthdata.nasa.gov/search/concepts/C1979103240-GHRC_DAAC.umm_json In support of CAMEX-3, numerous radiosonde and rawinsondes were launched from Andros Island, which consisted of instruments manufactured by VIS and Vaisala. Some sondes were GPS or LORAN located so that winds aloft could be determined without ground based tracking systems. Data from the sondes were used to validate several ground based instruments observing the lower troposphere. proprietary +cmx3g8_1 CAMEX-3 GOES-8 PRODUCTS V1 GHRC_DAAC STAC Catalog 1998-08-05 1998-09-30 -100, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979103576-GHRC_DAAC.umm_json In support of the third Convection and Moisture Experiment (CAMEX-3), imagery from the Geostationary Operational Environmental Satellite 8 (GOES-8) was collected and archived. Three channels were archived: channel 1-- visible (0.65 microns), channel 2-- infrared (11 microns) and channel 3, which is known as the water vapor channel (6.75 microns). proprietary +cmx3misrep_1 CAMEX-3 MISSION REPORTS V1 GHRC_DAAC STAC Catalog 1998-08-08 1998-09-13 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979103872-GHRC_DAAC.umm_json The Convection And Moisture EXperiment (CAMEX)-3 Mission Reports were filed every day that an aircraft flew in support of the experiment. The reports include a short description of the day's mission, its objective, and notes. proprietary +cmx3srl_1 CAMEX-3 SCANNING RAMAN LIDAR V1 GHRC_DAAC STAC Catalog 1998-08-06 1998-09-20 -77.9, 24.7, -77.8, 24.8 https://cmr.earthdata.nasa.gov/search/concepts/C1979103958-GHRC_DAAC.umm_json The CAMEX-3 Scanning Raman LIDAR dataset collected data during the CAMEX-3 campaign on Andros Island during the period 6 August - 20 September 1998. The SRL instrument is designed to determine the composition and vertical distribution of several atmospheric constituents, specifically water vapor and aerosols. proprietary co2_emissions_1deg_1021_1 ISLSCP II Carbon Dioxide Emissions from Fossil Fuels, Cement, and Gas Flaring ORNL_CLOUD STAC Catalog 1950-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785301251-ORNL_CLOUD.umm_json This data set contains decadal (1950, 1960, 1970, 1980, 1990 and 1995) estimates of gridded fossil-fuel emissions, expressed in 1,000 metric tons C per year per one degree latitude by one degree longitude. The CO2 emissions are the summed emissions from fossil-fuel burning, hydraulic cement production and gas flaring. The years 1950 to 1990 were developed and compiled using somewhat different procedures and information than the 1995 data. The national annual estimates (Boden et al., 1996) from 1950 to 1990 were allocated to one degree grid cells based on gridded information on national boundaries and political units, and a 1984 gridded human population map (Andres et al., 1996). For the 1995 data, the population data base developed by Li (1996a) and documented by CDIAC (DB1016: Li, 1996b) was used as proxy to grid the 1995 emission estimates. There is one *.zip data file with this data set at 1.0 degree spatial resolution. proprietary combined_ancillary_xdeg_1200_1 ISLSCP II Land and Water Masks with Ancillary Data ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785331161-ORNL_CLOUD.umm_json This data set contains the ISLSCP II fixed land/water masks and percentages of land or water in each cell. There are seven zip data files: four produced from a 1-km land/water mask compiled at the Jet Propulsion Laboratory (JPL) in support of NASA's Earth Observing System; two files of a land outline overlay created from the land/water mask files created at NASA's Goddard Space Flight Center; and one file which is a latitude grid coordinate file and longitude grid coordinate file produced by the ISLSCP II staff. All of these data are provided at three spatial resolutions of .25, 0.5 and 1-degree in latitude and longitude and on a common Earth grid. proprietary comm_alfred_1 GPS data points taken at Commonwealth Bay by Alfred Wilklemayer AU_AADC STAC Catalog 1997-01-01 1997-12-31 142.1, -67.1, 142.72, -67.05 https://cmr.earthdata.nasa.gov/search/concepts/C1214313425-AU_AADC.umm_json "Six GPS data points collected by Alfred Wilklemayer, taken during a one year expedition at Commonwealth Bay, Antarctica. GPS Points collected at Commonwealth Bay, Antarctica, during 1997 The following GPS data points were collected opportunistically by Mr Alfred Wilklemayer, during a one year expedition in Commonwealth Bay, Antarctica. Identification Object Position Frozen Husky Dog 67 degrees 04'07"" S, 142 degrees 42'39"" E First Canister 67 degrees 03'69"" S, 142 degrees 42'10"" E Second Canister 67 degrees 03'74"" S, 142 degrees 42'10"" E Third Can/Stick 67 degrees 03'28"" S, 142 degrees 42'09"" E Furthest Point In (during expedition) 67 degrees 05'47"" S, 142 degrees 40'02"" E Furthest Point West (during expedition) 67 degrees 04'06"" S, 142 degrees 06'04"" E" proprietary @@ -12634,15 +11310,20 @@ convection-in-snow_1.0 snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Euleria convection-in-snow_1.0 snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Eulerian two-phase solver for modelling convection of water vapor in snowpacks ENVIDAT STAC Catalog 2021-01-01 2021-01-01 6.5678716, 46.5207841, 6.5678716, 46.5207841 https://cmr.earthdata.nasa.gov/search/concepts/C2789814580-ENVIDAT.umm_json snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org). proprietary core_0.1 Cloud Optimized Raster Encoding (CORE) format ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4546554, 47.3605425, 8.4546554, 47.3605425 https://cmr.earthdata.nasa.gov/search/concepts/C2789814594-ENVIDAT.umm_json "__DISCLAIMER__: CORE is still in development. Interested parties are warmly invited to join common development, to comment, discuss, find bugs, etc. __Acknowledgement:__ The CORE format was proudly inspired by the Cloud Optimized GeoTIFF ([COG](https://www.cogeo.org/)) format, by considering how to leverage the ability of clients issuing HTTP GET range requests for a time-series of remote sensing and aerial imagery (instead of just one image). __License:__ The Cloud Optimized Raster Encoding (CORE) specifications are released to the public domain under a Creative Commons 1.0 CC0 ""No Rights Reserved"" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions. ----------------------- __Summary:__ The Cloud Optimized Raster Encoding (CORE) format is being developed for the efficient storage and management of gridded data by applying video encoding algorithms. It is mainly designed for the exchange and preservation of large time series data in environmental data repositories, while in the same time enabling more efficient workflows on the cloud. It can be applied to any large number of similar (in pixel size and image dimensions) raster data layers. CORE is not designed to replace COG but to work together with COG for a collection of many layers (e.g. by offering a fast preview of layers when switching between layers of a time series). __WARNING__: Currently only applicable to RGB/Byte imagery. The final CORE specifications may probably be very different from what is written herein or CORE may not ever become productive due to a myriad of reasons (see also 'Major issues to be solved'). With this early public sharing of the format we explicitly support the Open Science agenda, which implies __""shifting from the standard practices of publishing research results in scientific publications towards sharing and using all available knowledge at an earlier stage in the research process""__ (quote from: European Commission, Directorate General for Research and Innovation, 2016. Open innovation, open science, open to the world). __CORE Specifications:__ 1) a MP4 or WebM video digital multimedia container format (or any future video container playable as HTML video in major browsers) 2) a free to use or open video compression codec such as H.264, VP9, or AV1 (or any future video codec that is open sourced or free to use for end users) Note: H.264 is currently recommended because of the wide usage with support in all major browsers, fast encoding due to acceleration in hardware (which is currently not the case for AV1 or VP9) and the fact that MPEG LA has allowed the free use for streaming video that is free to the end users. However, please note that H.264 is restricted by patents and its use in proprietary or commercial software requires the payment of royalties to [MPEG LA](https://www.mpegla.com/programs/avc-h-264/). However, when AV1 matures and accelerated hardware encoding becomes available, AV1 is expected to offer 30% to 50% smaller file size in comparison with H.264, while retaining the [same quality](https://trac.ffmpeg.org/wiki/Encode/AV1). 3) the encoding frame rate should be of one frame per second (fps) with each layer segmented in internal tiles, similar to COG, ordered by the main use case when accessing the data: either layer contiguous or tile contiguous; Note: The internal tile arrangement should support an easy navigation inside the CORE video format, depending on the use case. 4) a CORE file is optimised for streaming with the moov atom at the beginning of the file (e.g. with -movflags faststart) and optional additional optimisations depending on the codec used (e.g. -tune fastdecode -tune zerolatency for H.264) 5) metadata tags inside the moov atom for describing and using geographic image data (that are preferably compatible with the [OGC GeoTIFF standard](https://www.ogc.org/standards/geotiff) or any future standard accepted by the geospatial community) as well as list of original file names corresponding to each CORE layer 6) it needs to encode similar source rasters (such as time series of rasters with the same extent and resolution, or different tiles of the same product; each input raster should be having the same image and pixel size) 7) it provides a mechanism for addressing and requesting overviews (lower resolution data) for a fast display in web browser depending on the map scale (currently external overviews) __Major issues to be solved:__ - Internal overviews (similar to COG), by chaining lower resolution videos in the same MP4 container for fast access to overviews first); Currently, overviews are kept as separate files, as external overviews. - Metadata encoding (how to best encode spatial extent, layer names, and so on, for each of the layer inside the series, which may have a different geographical extent, etc...; Known issues: adding too many tags with FFmpeg which are not part of the standard MP4 moov atom; metadata tags have a limited string length. - Applicability beyond RGB/Byte datasets; defining a standard way of converting cell values from Int16/UInt16/UInt32/Int32/Float32/Float64/ data types into multi-band Byte values (and reconstructing them back to the original data type within acceptable thresholds) __Example__ __Notice__: The provided CORE (.mp4) examples contain modified Copernicus Sentinel data [2018-2021]. For generating the CORE examples provided, 50 original Sentinel 2 (S-2) TCI data images from an area located inside Switzerland were downloaded from www.copernicus.eu, and then transformed into CORE format using ffmpeg with H.264 encoding using the [x264 library](https://www.videolan.org/developers/x264.html). For full reproducibility, we provide the original data set and results, as well scripts for data encoding and extraction (see resources)." proprietary correct-observer-bias-only-sdms_1.0 Novel methods to correct for observer and sampling bias in presence-only species distribution models ENVIDAT STAC Catalog 2021-01-01 2021-01-01 4.9658203, 42.7416347, 17.5341797, 48.2197941 https://cmr.earthdata.nasa.gov/search/concepts/C2789814610-ENVIDAT.umm_json Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models. Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1’900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps. Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r≃0.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation. proprietary +cosmirimpacts_1 Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-15 2022-02-28 -116.701, 30.5854, -62.6816, 48.5552 https://cmr.earthdata.nasa.gov/search/concepts/C1995565150-GHRC_DAAC.umm_json The Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) IMPACTS dataset consists of brightness temperature measurements collected by the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) flown onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31±1, 183.31±3, and 183.31±7 GHz. The brightness temperature data from CoSMIR are available from January 15, 2020 through February 28, 2022 in netCDF-4 format. proprietary cosmo-wrf-documentation_1.0 Running COSMO-WRF on very-high resolution over complex terrain ENVIDAT STAC Catalog 2018-01-01 2018-01-01 7.31281, 45.4, 10.6311, 48.2535 https://cmr.earthdata.nasa.gov/search/concepts/C2789814624-ENVIDAT.umm_json This is a technical documentation of the procedure to run the Weather Research and Forecasting (WRF) model over complex alpine terrain using Consortium for Small-Scale Modeling (COSMO) reanalysis by the Federal Office of Meteorology and Climatology (MeteoSwiss) as initial and boundary conditions (COMSO-WRF). The setup is adapted for very high resolution simulations based on COSMO-2 (2.2 km resolution) reanalysis. This document gives an overview over steps to setup COSMO-WRF and adaptations needed to run COSMO-WRF. Additionally, the calculation of precipitation rate at a horizontal plane and remapping COSMO-WRF output on Swiss coordinates are documented. proprietary +cossirimpacts_1 Compact Scanning Submillimter-wave Imaging Radiometer (CoSSIR) IMPACTS GHRC_DAAC STAC Catalog 2023-01-05 2023-03-02 -115.701, 26.395, -66.647, 49.36 https://cmr.earthdata.nasa.gov/search/concepts/C3104921929-GHRC_DAAC.umm_json The Compact Scanning Submillimeter-wave Imaging Radiometer (CoSSIR) IMPACTS dataset consists of data measured onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The CoSSIR dataset consists of measured ice clouds and brightness temperatures, water vapor profiles, and snowfall rates. CoSSIR data are available from January 5, 2023, through March 2, 2023, in netCDF-4 format. proprietary cp_lidar_images_721_1 SAFARI 2000 Cloud Physics Lidar (CPL) Quicklook Images and Maps ORNL_CLOUD STAC Catalog 2000-08-17 2000-09-25 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788400595-ORNL_CLOUD.umm_json The effect of clouds and aerosols on regional and global climate is of great importance. Two longstanding elements of the NASA climate and radiation science program are field studies incorporating airborne remote-sensing and in-situ measurements of clouds and aerosols. is Data products include: (1) cloud profiling with 30-m vertical and 200-m horizontal resolution at 1064 nm, 532 nm, and 355 nm;(2) aerosol, boundary layer, and smoke plume profiling;(3) optical depth estimates (column and by layer); and(4) extinction profiles. The CPL provides information to permit a comprehensive analysis of radiative and optical properties of optically thin clouds. Data users are asked to read and abide by the CPL data usage policy found at [http://virl.gsfc.nasa.gov/cpl/cpl_register.htm]. proprietary +cplimpacts_1 Cloud Physics LiDAR (CPL) IMPACTS GHRC_DAAC STAC Catalog 2020-01-15 2023-03-02 -117.23, 26.907, -64.894, 48.657 https://cmr.earthdata.nasa.gov/search/concepts/C1995565938-GHRC_DAAC.umm_json The Cloud Physics LiDAR (CPL) IMPACTS dataset consists of backscatter coefficient, lidar depolarization ratio, layer top/base height, layer type, particulate extinction coefficient, ice water content, and layer/cumulative optical depth data collected from the Cloud Physics LiDAR (CPL) onboard the NASA ER-2 high-altitude research aircraft in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The dataset files are available in HDF-5 format from January 15, 2020, through March 2, 2023. proprietary crack-propagation-in-weak-snowpack-layers-insights-from-high-speed-photography_1.0 "Dataset for ""Dynamic crack propagation in weak snowpack layers: Insights from high-resolution, high-speed photography""" ENVIDAT STAC Catalog 2021-01-01 2021-01-01 9.8698783, 46.8076829, 9.8698783, 46.8076829 https://cmr.earthdata.nasa.gov/search/concepts/C2789814649-ENVIDAT.umm_json This data set includes material and results described in the related research article: Bergfeld, B., van Herwijnen, A., Reuter, B., Bobillier, G., Dual, J., and Schweizer, J.: Dynamic crack propagation in weak snowpack layers: Insights from high-resolution, high-speed photography, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-360, in review, 2021. # Context: In order to study crack propagation in weak snowpack layers in great detail, we recorded Propagation Saw Test (PST) experiments using a high-speed camera and applied digital image correlation (DIC) to derive displacement and strain fields in the slab, weak layer, and substrate. We demonstrated the versatility and accuracy of the DIC method by showing measurements from three PST experiments, resulting in slab fracture, crack arrest and full propagation in the related publication. # Content: - Supplementary material for related publication - Ilustrative videos showing crack propagation - High-speed recordings of the Experiments (the raw .cine files are available upon request) Processed Data containing: - displacement, velocity and acceleration fields for the three PSTs - speed and touchdown dataset proprietary crack-propagation-speeds-in-weak-snowpack-layers_1.0 Crack propagation speeds in weak snowpack layers from three events: PST, whumpf and slab avalanche ENVIDAT STAC Catalog 2021-01-01 2021-01-01 9.8700437, 46.807722, 9.8700437, 46.807722 https://cmr.earthdata.nasa.gov/search/concepts/C2789814659-ENVIDAT.umm_json For the release of a slab avalanche, crack propagation within a weak snowpack layer below a cohesive snow slab is required. As crack speed measurements can give insight into the underlying processes, we analysed three crack propagation events that occurred in similar snowpacks and covered all scales relevant for avalanche release. For the largest scale, up to 400 m, we estimated crack speed from an avalanche movie, for scales between 5 and 25 meters, we used accelerometers placed on the snow surface, and for scales below 5 meters, we performed a Propagation Saw Test. The mean crack speeds ranged from 36 ± 6 to 49 ± 5 m s^{-1}, and did not exhibit scale dependence. Using the Discrete Element Method and the Material Point Method, we reproduced the measured crack speeds reasonably well, in particular the terminal crack speed observed at smaller scales. This dataset includes raw data as well as crack speed estimates from the three crack propagation events. Where possible, we reproduced these field experiments with numerical models based on Discrete Element Method (DEM, Bobillier and others, 2020 and 2021) and Material Point Method (MPM. Gaume and others, 2018 and Trottet and others, 2021). The input parameters of the models were estimated from the corresponding snow profiles conducted at each test site. ## The raw data include: * Propagation Saw Test movie with mechanical fields derived from Digital image Correlation analysis of the recording * Acceleration data recorded with wireless time synchronized accelerometers placed on the snow surface during crack propagation in a whumpf. *Video of an artificially triggered avalanche with widespread crack propagation. The video was used to georeference surface cracks in order to estimate crack propagation time and distance, providing crack propagation speed estimates. * Snow profile recorded at each test site ## Experimental crack speed estimates include: * Crack speed evolution within the first meters derived from the Propagation Saw Test. * Crack speeds estimated from the time delay of the collapse, observed between different accelerometers during crack propagation of a whumpf. * Crack speed estimates from video analysis of the artificially triggered avalanche. ## Reproduced crack speeds using the DEM an MPM model: * Modelled Propagation Saw Test using MPM (2D and 3D system) and DEM. * Modelled whumpf using MPM (beam and areal configuration) * Modelled avalanche using MPM (beam and areal configuration) Beside the movies (mp4 format), all data is either provided as netCDF files or excel sheets (see readme file), depending on the amount of data. A detailed description of the three crack propagation events and how crack speed was derived, can be found in the related publication: ### References for applied models: Bobillier, G., B. Bergfeld, A. Capelli, J. Dual, J. Gaume, A. van Herwijnen and J. Schweizer 2020. Micromechanical modeling of snow failure. The Cryosphere, 14(1): 39-49. Bobillier, G., B. Bergfeld, J. Dual, J. Gaume, A. van Herwijnen and J. Schweizer 2021. Micro-mechanical insights into the dynamics of crack propagation in snow fracture experiments. Scientific Reports, 11: 11711. Gaume, J., T. Gast, J. Teran, A. van Herwijnen and C. Jiang 2018. Dynamic anticrack propagation in snow. Nature Communications, 9(1): 3047. Trottet, B., R. Simenhois, G. Bobillier, A. van Herwijnen, C. Jiang and J. Gaume 2021. From sub-Rayleigh to intersonic crack propagation in snow slab avalanche release. EGU General Assembly 2021, Online, 19-30 Apr 2021, EGU21-8253. proprietary cramer_leemans_637_1 SAFARI 2000 Mean Climatology, 0.5-Deg, 1930-1960, V[ersion]. 2.1 (Cramer and Leemans) ORNL_CLOUD STAC Catalog 1931-01-01 1960-12-31 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2804823994-ORNL_CLOUD.umm_json This data set is a subset of Cramer and Leeman's (1999) global mean monthly climatology . The subset is for the area of southern Africa within the following bounds: 5 N to 35 S and 5 E to 60 E. The data are available in ASCII grid and binary image formats. proprietary cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data_1.5 Cropland and grassland map of Switzerland based on Sentinel-2 data ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814690-ENVIDAT.umm_json We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas. proprietary cropland_612_2 NPP Cropland: Gridded Estimates For the Central USA, 1982-1996, R1 ORNL_CLOUD STAC Catalog 1982-01-01 1996-12-31 -99.75, 38.25, -83.25, 48.75 https://cmr.earthdata.nasa.gov/search/concepts/C2751948433-ORNL_CLOUD.umm_json This data set contains a single data file (.csv format) that provides gridded values of net primary productivity (NPP) for cropland in eight counties in the central United States for the year 1992 and estimates of interannual cropland NPP in Iowa for years from 1982 through 1996. The data file also includes climate, soil texture, and land cover data for each 0.5 degree grid cell. The magnitude and interannual variation in NPP was estimated using crop area and yield data from the U.S. Department of Agriculture, National Agricultural Statistics Service (NASS). The major harvested commodities were corn, soybean, sorghum, sunflower, oats, barley, wheat, and hay. Total NPP estimates include both above- and below-ground components. County-level NPP in 1992 ranged from 195 to 760 gC/m2/year. The area of highest NPP, ranging from 650 to 760 gC/m2/year, was found in a band extending across Iowa, through northern Illinois, Indiana, and southwestern Ohio. Areas of moderate NPP, from 550 to 650 gC/m2/year, occurred mostly in Michigan and Wisconsin, while large areas of low NPP, from 200 to 550 gC/m2/year, occurred in North Dakota, southern Illinois, and Minnesota. The area of highest production was also the area with the largest proportion of land sown with corn and soybean. NPP for counties in Iowa varied among years (1982-1996) by a factor of 2, with the lowest NPP in 1983 (which had an unusually wet spring), in 1988 (which was a drought year), and in 1993 (which experienced floods). Revision Notes: The documentation for this data set has been modified, and the data files have been reformatted. The data files have been checked for accuracy and the contents are identical to those originally published in 2001. proprietary +crsimpacts_1 Cloud Radar System (CRS) IMPACTS GHRC_DAAC STAC Catalog 2020-01-25 2023-02-28 -95.46, 31.073, -64.894, 48.658 https://cmr.earthdata.nasa.gov/search/concepts/C1995871269-GHRC_DAAC.umm_json The Cloud Radar System (CRS) IMPACTS dataset consists of calibrated radar reflectivity, Doppler velocity, linear depolarization ratio, and normalized radar cross-section estimates collected by the Cloud Radar System (CRS) onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The CRS IMPACTS dataset files are available from January 25, 2020, through February 28, 2023, in HDF-5 format. proprietary cru_monthly_climate_xdeg_1014_1 ISLSCP II CRU05 Climate Time Series for Global Land Areas, 1986-1995 ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785289548-ORNL_CLOUD.umm_json This data set contains monthly climate time series data created by the Climatic Research Unit (CRU) at the University of East Anglia, U.K.,for every year covering the period 1986 to 1995. This time series is a subset of a larger CRU monthly data set that covers the period of 1901 to 1996. The data comprise a suite of six climate elements: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapor pressure, and cloud cover. There are 13 files in this data set provided at 0.5 and 1.0 degree spatial resolutions. proprietary cru_monthly_mean_xdeg_1015_1 ISLSCP II Climate Research Unit CRU05 Monthly Climate Data ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785293782-ORNL_CLOUD.umm_json This data set contains a mean monthly climatology for several climate variables averaged over the period from 1961 to 1990, and constructed from a data set of station 1961-1990 climatological normals, numbering between 19,800 (precipitation) and 3,615 (windspeed; see New et al, 1999 for details). The station data were interpolated as a function of latitude, longitude and elevation using thin-plate splines. The data comprise a suite of climate elements: precipitation, mean, maximum, and minimum temperature, frost frequency, diurnal temperature range, radiation, wet-day frequency, vapor pressure, wind, and cloud cover. There are 23 files in this data set provided at 0.5 and 1.0 degree spatial resolutions. proprietary +csgcpex01_1 GPM GROUND VALIDATION GCPEX SNOW MICROPHYSICS CASE STUDY V1 GHRC_DAAC STAC Catalog 2012-02-24 2012-02-25 -80.4026, 43.4595, -78.7616, 46.3966 https://cmr.earthdata.nasa.gov/search/concepts/C1979104136-GHRC_DAAC.umm_json The GPM Ground Validation GCPEX Snow Microphysics Case Study characterizes the 3-D microphysical evolution and distribution of snow in context of the thermodynamic environment observed during the February 24th, 2012 event of the GPM Cold-season Precipitation Experiment (GCPEx). The GPM Cold-season Precipitation Experiment occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of snow. This case study includes data from the Airborne Second Generation Precipitation Radar (APR-2), Dual-frequency Dual-polarized Doppler Radar (D3R), Dual Polarization Radiometer and the NCAR Cloud Microphysics Particle Probes. proprietary d12fc40e4f254ce38303157fa460f01c_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (SU algorithm), Version 4.3 FEDEO STAC Catalog 2002-05-20 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143145-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly aerosol products from the AATSR instrument on the ENVISAT satellite, using the Swansea University (SU) algorithm, version 4.3. Data is available for the period 2002 - 2012.For further details about these data products please see the documentation. proprietary d2ed0c005761475d92ca444666156c4a_NA ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (ORAC algorithm), Version 4.01 FEDEO STAC Catalog 1995-06-01 2003-06-22 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142674-FEDEO.umm_json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 daily and monthly gridded aerosol products from the ATSR-2 instrument on the ENVISAT satellite, derived using the ORAC algorithm, version 4.01. The data covers the period from 1995 - 2003.For further details about these data products please see the linked documentation. proprietary d51ffc79-5c9f-4252-be8e-2932eab8fff0_NA IRS-1D - Multispectral Images (LISS-III) - Europe FEDEO STAC Catalog 1999-01-01 2005-01-27 -25, 30, 45, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2207458013-FEDEO.umm_json Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. \\n\\nIRS LISS-III data are well suited for agricultural and forestry monitoring tasks. Because of their simultaneous acquisition with IRS PAN data and the availability of a synthetic blue band, LISS-III data are ideal for colouring IRS PAN products. proprietary @@ -12655,11 +11336,6 @@ daily-solute-and-isotope-of-stream-water-and-precipitation_1.0 Daily data of sol daily_precip_est_793_1 SAFARI 2000 Daily Rainfall Estimates, 0.1-Deg, Southern Africa, 1993-2001 ORNL_CLOUD STAC Catalog 1993-01-01 2001-12-31 10, -34, 50, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2789731186-ORNL_CLOUD.umm_json The Microwave InfraRed Algorithm (MIRA) is used to produce an imagery data set of daily mean rain rates at 0.1 degree spatial resolution over southern Africa for the period 1993-2001. MIRA combines passive microwave (PMW) from the Special Sensor Microwave/Imager (SSM/I) on board the DMSP F10 and F14 satellites at a resolution of 0.5 degrees and infrared (IR) data from the Meteosat 4, 5, 6, and 7 satellites in 2-hour slots at a resolution of 5 km. This approach accounts for the limitations of both data types in estimating precipitation. Rainfall estimates are produced at the high spatial and temporal frequency of the IR data using rainfall information from the PMW data. An IR/rain rate relationship, variable in space and time, is derived from coincident observations of IR and PMW rain rate (accumulated over a calibration domain) using the probability matching method. The IR/rain rate relationship is then applied to IR imagery at full temporal resolution. The results presented here are the daily means of those derived rain rates at 0.1 degree spatial resolution.The rainfall data sets are flat binary images with no headers. They are compressed band sequential (bsq) files that contain all of the daily images for the given year. Each image is an array of 401 lines, each with 341 binary floating-point numbers, containing rainfall at 0.1 degree resolution for the area 10 to 50 degrees longitude and 0 to -34 degrees latitude. The number of band sequential images in each annual file and the associated dates can be found in the file MIRA_data_dates.csv. proprietary dalmolin_thurmodeling1_1.0 Data for: Understanding dominant controls on streamflow spatial variability to set-up a semi-distributed hydrological model: the case study of the Thur catchment ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.5830688, 47.1112614, 9.6377563, 47.6246779 https://cmr.earthdata.nasa.gov/search/concepts/C2789814894-ENVIDAT.umm_json This study documents the development of a semi-distributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 1702 km2), an alpine and pre–alpine catchment where streamflow (measured at 10 subcatchments) has different spatial characteristics in terms of amounts, seasonal patterns, and dominance of baseflow. In order to appraise the dominant controls on streamflow spatial variability, and build a model that reflects them, we follow a two–stages approach. In a first stage, we identify the main climatic or landscape properties that control the spatial variability of streamflow signatures. This stage is based on correlation analysis, complemented by expert judgment to identify the most plausible cause-effect relationships. In a second stage, the results of the previous analysis are used to develop a set of model experiments aimed at determining an appropriate model representation of the Thur catchment. These experiments confirm that only a hydrological model that accounts for the heterogeneity of precipitation, snow related processes, and landscape features such as geology, produces hydrographs that have signatures similar to the observed ones. This model provides consistent results in space–time validation, which is promising for predictions in ungauged basins. The presented methodology for model building can be transferred to other case studies, since the data used in this work (meteorological variables, streamflow, morphology and geology maps) is available in numerous regions around the globe. proprietary danger_descriptions_avalanche_bulletin_switzerland_1.0 How is avalanche danger described in textual descriptions in avalanche forecasts in Switzerland? ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.8886719, 45.7984239, 10.5908203, 47.6804285 https://cmr.earthdata.nasa.gov/search/concepts/C2789814949-ENVIDAT.umm_json The data set contains the danger descriptions (German) of the avalanche forecasts published at 5 pm between 27-Nov-2012 and 13-Feb-2020. proprietary -darling_sst_00_Not provided 2000 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 2000-01-01 2000-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621651-SCIOPS.umm_json 2000 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine proprietary -darling_sst_01_Not provided 2001 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 2001-01-01 2001-04-20 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214612276-SCIOPS.umm_json 2001 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center Walpole, Maine. proprietary -darling_sst_82-93_Not provided 1982-1989 and 1993 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 1982-03-01 1993-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621676-SCIOPS.umm_json Seawater Surface Temperature Data Collected between the years 1982-1989 and 1993 off the dock at the Darling Marine Center, Walpole, Maine proprietary -darling_sst_97_Not provided 1997 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 1997-01-01 1997-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621650-SCIOPS.umm_json 1997 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center, Walpole, Maine proprietary -darling_sst_99_Not provided 1999 Seawater Temperatures at the Darling Marine Center SCIOPS STAC Catalog 1999-01-01 1999-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214612327-SCIOPS.umm_json 1999 Seawater Surface Temperature Data collected off the dock at the Darling Marine Center Walpole, Maine. proprietary data-amphibian-monitoring_1.0 Data from: Estimation of breeding probbability can make monitoring data more revealing: a case study of amphibians ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814986-ENVIDAT.umm_json "This dataset includes data from 15 native pond breeding species in Switzerland in addition to observations of any species within the Pelophylax genus of water frogs. 233 sites (obnr) sampled during the 2011-2016 round of the WBS survey, which are listed as the ""first"" round of surveys. Data are also provided at 73 sites which were resurveyed in 2017 or 2018 (""second"" surveyround). The data are filtered as described in Cruickshank et al. (2021) to remove data from surveys carried out after the final sighting of a species within a year, and before the first observation of the species within a year. Observational data are provided as one of 3 observation types; 1 denotes a survey where the species was not detected, 2 denotes surveys where the species was detected but no life stages indicating successful breeding (e.g. the presence of eggs or larvae) were observed. Observation type 3 denotes a survey where evidence of successful breeding was observed (i.e. eggs or larvae). Survey protocols and full descriptions of the data are provided in Cruickshank et al (2021)." proprietary data-analysis-toolkits_1.0 Data analysis toolkits ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814544-ENVIDAT.umm_json "These are condensed notes covering selected key points in data analysis and statistics. They were developed by James Kirchner for the course ""Analysis of Environmental Data"" at Berkeley in the 1990's and 2000's. They are not intended to be comprehensive, and thus are not a substitute for a good textbook or a good education! License: These notes are released by James Kirchner under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license." proprietary data-and-code-on-extreme-inflow-and-lowflow-analysis-for-alpine-reservoirs_1.0 Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs ENVIDAT STAC Catalog 2023-01-01 2023-01-01 8.9761734, 46.5670779, 8.9761734, 46.5670779 https://cmr.earthdata.nasa.gov/search/concepts/C3226081971-ENVIDAT.umm_json "## Summary * Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland * R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis ## Data The dataset included here is the ""natural"" reservoir inflow for the Luzzone reservoir. Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html). ## Codes R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels: * GEV (Generalized Extreme Value) * GPD and GPDd (Generalized Pareto Distribution including declustered version) * eGPD (extended Generalized Pareto Distribution) * MEV (Metastatistical Extreme Value)" proprietary @@ -12690,6 +11366,17 @@ davis_lidar_2009_1 Lidar data captured in 2009/10 in the Davis and Heidemann Val davis_strain_1971_1 Davis Strain Grid Measurement 1971 AU_AADC STAC Catalog 1971-12-08 1971-12-16 77, -68, 78, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214308522-AU_AADC.umm_json "Strain grid measurements near Davis during the traverse program for the 1971 season. Chaining out from the center pole to one of four corner stakes required two moves with an assumed 600ft ""invar"" tape. Measurement in both directions was achieved on all grids. Snow to bottom of tag measurements were recorded in centimeters plus the central two inch steel black pole. For the theodolite readings, both left and right face azimuth angles were taken at snow level and elevation read to the bottom of the tag. Physical records archived at the Australian Antarctic Division." proprietary davisbathy_gis_1 Bathymetry of Approaches to Davis Station AU_AADC STAC Catalog 1989-02-06 1992-02-12 78, -69, 78, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214308526-AU_AADC.umm_json Bathymetric Contours and height range polygons of approaches to Davis Station, derived from RAN Fair sheet, Aurora Australis and GEBCO soundings. proprietary db32212d86f9431dae67076dd122565e_NA ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a geographic projection, Version 4.2 FEDEO STAC Catalog 1997-09-03 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142706-FEDEO.umm_json The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.This dataset contains the Version 4.2 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 4.2 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset.This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection). proprietary +dc8ammr_1 CAMEX-3 DC-8 Airborne Multichannel Microwave Radiometer (AMMR) V1 GHRC_DAAC STAC Catalog 1998-08-20 1998-09-17 -86.165, 26.153, -78.982, 30.477 https://cmr.earthdata.nasa.gov/search/concepts/C1979104228-GHRC_DAAC.umm_json The CAMEX-3 DC-8 Airborne Multichannel Microwave Radiometer (AMMR) dataset is a browse-only dataset that consists of plotted digital count measurements collected by the Airborne Multichannel Microwave Radiometer (AMMR) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. The AMMR was mounted onboard the NASA DC-8 aircraft. Daily browse files in GIF format are available for August 20, September 2, and September 17, 1998. proprietary +dc8avaps_1 CAMEX-3 AIRBORNE VERTICAL ATMOSPHERE PROFILING SYSTEM (AVAPS) V1 GHRC_DAAC STAC Catalog 1998-08-15 1998-09-22 -85.7233, 14.0367, -63.549, 34.06 https://cmr.earthdata.nasa.gov/search/concepts/C1979104659-GHRC_DAAC.umm_json The CAMEX-3 DC-8 Airborne Vertical Atmospheric Profiling System (AVAPS) dataset consists of measurements from AVAPS, which uses dropsonde and Global Positioning System (GPS) receivers to measure the atmospheric state parameters (temperature, humidity, wind speed/direction, pressure) and location in 3-dimensional space during the dropsonde's descent once each half second. These measurements were collected in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of tropical cyclones in the region. AVAPS provided vertical profiles of temperature, humidity, pressure, and winds. The dataset files are available in netCDF-3 and ASCII format with browse imagery available in GIF image format. proprietary +dc8capac_1 CAMEX-3 CLOUD AND AEROSOL PARTICLE CHARACTERIZATION (CAPAC) V1 GHRC_DAAC STAC Catalog 1998-08-15 1998-09-23 -86.165, 14.045, -62.96, 39.0333 https://cmr.earthdata.nasa.gov/search/concepts/C1979110321-GHRC_DAAC.umm_json CAPAC is a series of three instruments: the Forward Scattering Spectrometer Probe model 300 (FSSP-300), the Two Dimensional Optical Array Probes [Cloud and Precipitation Probes (2D-P)] and the CAPAC video. These instruments flew during CAMEX-3 upon the NASA DC-8 mounted on the left wing. Cloud and aerosol particles were exposed to laser light to measure particle size from 0.3 micrometer to 6.4 millimeter, and both size and shape between 40 micrometer and 6.4 millimeter particle diameter as function of particle size. The size distributions thus determined were integrated to yield particle surface area, and ice and liquid water contents in clouds and precipitation. The purpose of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S. Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, radiosonde and rain gauge sites. proprietary +dc8capacv_1 CAMEX-3 CLOUD AND AEROSOL PARTICLE CHARACTERIZATION VIDEO V1 GHRC_DAAC STAC Catalog 1998-08-10 1998-09-02 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1995554198-GHRC_DAAC.umm_json CAPAC is a series of three instruments: the Forward Scattering Spectrometer Probe model 300 (FSSP-300), the Two Dimensional Optical Array Probes [Cloud and Precipitation Probes (2D-P)] and the CAPAC video. These instruments flew during CAMEX-3 upon the NASA DC-8 mounted on the left wing. Cloud and aerosol particles were exposed to laser light to measure particle size from 0.3 micrometer to 6.4 millimeter, and both size and shape between 40 micrometer and 6.4 millimeter particle diameter as function of particle size. The size distributions thus determined were integrated to yield particle surface area, and ice and liquid water contents in clouds and precipitation. CAPAC videos are a visual record of the particles and hydrometeors passing through the instrument housing. The purpose of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S. Gulf of Mexico, Caribbean, and Western Atlantic Ocean in coordination with multiple aircraft and research-quality radar, lightning, radiosonde and rain gauge sites. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary +dc8dads_1 CAMEX-3 DC-8 NAVIGATION (DADS) DATA GHRC_DAAC STAC Catalog 1998-08-15 1998-09-23 -86.165, 14.045, -62.96, 39.0333 https://cmr.earthdata.nasa.gov/search/concepts/C1979110434-GHRC_DAAC.umm_json The CAMEX-3 DC-8 Navigation Data Acquisition and Distribution System (DADS) data files contain information recorded by navigation and data collection systems onboard the NASA DC-8 aircraft. These data files contain typical navigation data (e.g. date, time, lat/lon, altitude), and meteorological parameters (e.g. wind speed and direction, temperature, saturation vapor pressure) collected in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of tropical cyclones in the region. These data are available in ASCII file format with browse imagery available in GIF file format. Each file contains data recorded at one second intervals for each flight. proprietary +dc8jplsaw_1 CAMEX-3 JPL SURFACE ACOUSTIC WAVE (SAW) HYGROMETER V1 GHRC_DAAC STAC Catalog 1998-08-15 1998-09-23 -86.165, 14.045, -62.96, 39.0333 https://cmr.earthdata.nasa.gov/search/concepts/C1979110644-GHRC_DAAC.umm_json This CAMEX-3 Jet Propulsion Laboratory (JPL) Surface Acoustic Wave (SAW) Hygrometer dataset consists of dewpoint timeline measurements acquired during each DC-8 flight in August and September of 1998. proprietary +dc8lase_1 CAMEX-3 LiDAR Atmospheric Sensing Experiment (LASE) Imagery GHRC_DAAC STAC Catalog 1998-08-21 1998-09-05 -82.2817, 20.0617, -62.995, 39.0333 https://cmr.earthdata.nasa.gov/search/concepts/C1979110748-GHRC_DAAC.umm_json The CAMEX-3 LiDAR Atmospheric Sensing Experiment (LASE) Imagery dataset is a browse-only dataset that consists of plotted reflectivity data collected by the LiDAR Atmospheric Sensing Experiment (LASE) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. The LiDAR was mounted onboard the NASA DC-8 aircraft, and the daily browse files are available from August 21 through September 5, 1998 in GIF format. proprietary +dc8laserh_1 CAMEX-3 JPL LASER HYGROMETER V1 GHRC_DAAC STAC Catalog 1998-08-15 1998-09-23 -86.165, 14.045, -62.96, 39.0333 https://cmr.earthdata.nasa.gov/search/concepts/C1979110870-GHRC_DAAC.umm_json The CAMEX-3 Jet Propulsion Laboratory (JPL) Laser Hygrometer datasets consists of timeline measurements of water vapor content colllected during DC-8 flights flown during August and September of 1998. The JPL Laser Hygrometer acquired in situ measurments of the free airstream beyond the boundary layer within the immediate proximity of the aircraft along the flight track. proprietary +dc8macaws_1 CAMEX-3 MACAWS V1 GHRC_DAAC STAC Catalog 1998-08-21 1998-09-22 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979111024-GHRC_DAAC.umm_json The Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS) was deployed during the Third Convection and Moisture Experiment (CAMEX-3). MACAWS data for the line-of-sight velocity and intensity as a function of range, backscattered intensity, turbulence approximation, and complex covariance was gathered for the period of 3 August 1998 through 22 September 1998. The objective of the CAMEX-3 mission was to study hurricanes over land and ocean in the U.S., Gulf of Mexico, Caribbean, and Western Atlantic ocean in coordination with multiple aircraft and reserach-quality radar, lightning, radiosonde, and raingauge sites. proprietary +dc8mms_1 CAMEX-3 DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1 GHRC_DAAC STAC Catalog 1998-08-03 1998-09-23 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979111218-GHRC_DAAC.umm_json The CAMEX-3 Meteorological Measurement System (MMS) dataset consists of atmospheric parameters measured by the MMS instruments aboard NASA DC-8 aircraft. The MMS consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The MMS dataset consits of atmospheric pressure, temperature, and wind measurements collected during the CAMEX-3 mission to study hurricanes over the land and ocean in the U.S Gulf of Mexico, Caribbean, and Western Atlantic Ocean. proprietary +dc8psr_1 CAMEX-3 POLARIMETRIC SCANNING RADIOMETER (PSR) V1 GHRC_DAAC STAC Catalog 1998-08-06 1998-09-23 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979111637-GHRC_DAAC.umm_json The Polarimetric Scanning Radiometer (PSR) is a versatile airborne microwave imaging radiometer developed by the Georgia Institute of Technology and the NOAA Environmental Technology Laboratory for the purpose of obtaining polarimetric microwave emission imagery of the Earth's oceans, land, ice, clouds, and precipitation. proprietary dd3da2570363429791b51120bdd29c02_NA ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): ACTIVE Product, Version 05.2 FEDEO STAC Catalog 1991-08-05 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142649-FEDEO.umm_json The Soil Moisture CCI ACTIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by fusing scatterometer soil moisture products, derived from the instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.The v05.2 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using all three of the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.0013. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070 proprietary de75072edfca44bfaaec0ed171d86bde_NA ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 5.0 FEDEO STAC Catalog 1997-09-04 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142555-FEDEO.umm_json The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.This dataset contains their Version 5.0 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Note, the IOP data is also included in the 'All Products' dataset. The inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.) proprietary deadwood-generator_1.0 Deadwood Generator ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.9440727, 47.0239773, 9.011364, 47.0448028 https://cmr.earthdata.nasa.gov/search/concepts/C3226081551-ENVIDAT.umm_json The here presented code generates discrete three-dimensional, RAMMS::ROCKFALL readable deadwood log files (.pts-format) of windtrown forests, including the pilling effect due to slightly different throw directions. proprietary @@ -12709,18 +11396,6 @@ distributed-subcanopy-datasets_1.0 Distributed sub-canopy datasets from mobile m distribution-maps-of-permanent-grassland-habitats-for-switzerland_1.0 Distribution maps of permanent grassland habitats for Switzerland ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226081223-ENVIDAT.umm_json We modelled the spatial distribution of 20 permanent grassland habitats at the level of phytosociological alliances according to the Swiss habitat typology (TypoCH; Delarze et al. 2015) at 10x10 m resolution across Switzerland. The 20 grassland habitat types belong to the following habitat groups: fens, wet meadows, raised bogs, re-seeded and heavy fertilized grasslands, dry grasslands, nutrient-poor alpine and subalpine grasslands, nutrient-rich pastures and meadows as well as fallow grasslands. We followed a two-step approach: (1) Ensemble models provide **distribution maps of the 20 individual grassland habitat types**, using training data from various sources. Predictors were Copernicus Sentinel satellite imagery and variables describing climate, soil and topography. The performance of these maps was assessed with the True Skill Statistics and split‐sampling of the data. Available maps for each grassland habitat: (1) *Map of the median of predicted probability of occurrence*; (2) *Map of the standard deviation of the predicted probability of occurrence* (available upon request); (3) *Binary presence/absence map* (available upon request). For an overview, see *Overview: Maps of the individual grassland habitats*. (2) **Combined maps**: The individual maps were combined into countrywide maps of the most and second most likely habitat type, respectively, using an expert‐based weighting approach. The performance of the combined map for the most likely habitat type was assessed via an independent testing dataset and a comparison of the predicted habitat‐type proportions with extrapolations from field surveys. Available combined maps: Map of the most likely habitat type (M1F; after regional corrections); Map of the second most likely habitat type (M2); Map of the most likely habitat type without regional corrections (available upon request); Map of the weighted median of the predicted probability of occurrence for the most/second most likely habitat type, respectively (available upon request); map of the ratio of the probabilities of occurrence of the most and second most likely habitat types (available upon request) proprietary diversity-of-ground-beetles-and-spiders-as-well-as-cynipid-oak-gall-formation_1.0 Diversity of ground beetles and spiders as well as cynipid oak gall formation on irrigated and non-irrigated plots in a dry mixed Scots pine forest ENVIDAT STAC Catalog 2022-01-01 2022-01-01 7.6136971, 46.3021928, 7.6136971, 46.3021928 https://cmr.earthdata.nasa.gov/search/concepts/C2789814550-ENVIDAT.umm_json In the dry Pfynwald forest a long-term experiment of WSL was initiated in 2003 with a set of irrigated and non-irrigated plots. Forest Entomologie WSL made several investigations, one of them on the effect of irrigation (or conversely of drought) on the biodiversity of epigaeic arthropods such as ground beetles and spiders. In addition, its effects were also assessed by counting galls formed by gall wasps on pubescent oak. proprietary diversity_of_woody_species-36_1.0 Diversity of woody species ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814561-ENVIDAT.umm_json Index based on the number of tree and shrub species starting at 12 cm dbh in the upper layer and the occurrence of especially ecologically valuable tree and shrub species starting at 12 cm dbh in the upper layer. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary -doi:10.25921/sta3-3b95_Not Applicable 2014-2015 Untrawlable Habitat Strategic Initiative (UHSI) Video and Still Imagery Data Collection NOAA_NCEI STAC Catalog 2014-09-08 2015-05-08 -84.4, 27.7, -83.4, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2107094639-NOAA_NCEI.umm_json The data collection deals with the optical data (i.e., video and still imagery) collected by natural light stereo cameras mounted on a MOdular Underwater Sampling System (MOUSS). The data collection consists of natively collected still images (5 frames per second) as well as the full length video and video segments that were created from original still images. Video annotations exist for the video segments; annotations are currently housed within a spreadsheet. The purpose was to execute a testbed study designed to evaluate the performance of transitional advanced technologies. All data are spatially located in the Florida Middle Grounds in the Gulf of Mexico. proprietary -doi:10.25921/v3a2-m248_Not Applicable Archival and Discovery of November 27, 1945 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1945-11-15 1945-12-01 66.97, 24.804, 66.97, 24.804 https://cmr.earthdata.nasa.gov/search/concepts/C2105865668-NOAA_NCEI.umm_json These water level data were digitized from a scanned marigram image associated with the tsunami event of 1945-11-27 at a tide gauge located at Karachi, Pakistan, and referenced to station datum. The Karachi marigram is one of the two instrumental records existing of the 1945 Makran tsunami and spans most of the 16 days between November 15 and December 1. The original Karachi analog record belongs to the Survey of India (SOI) and was collected and digitized by the National Institute of Oceanography (NIO) and Indian National Center for Ocean Information Services (INCOIS) for use in the publication of a few scientific papers. This digital marigram scan was reformatted into the accompanying digital, numerical time series by the Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO. Acknowledgement of SOI, NIO, and INCOIS should be included in any future scientific works using this record. proprietary -doi:10.7289/V51R6NQJ_Not Applicable Archival and Discovery of May 22, 1960 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1960-05-18 1960-05-27 144.6539, 8.966667, -149.426667, 60.12 https://cmr.earthdata.nasa.gov/search/concepts/C2105865673-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V54X564T_Not Applicable Archival and Discovery of May 16, 1968 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1968-05-13 1968-05-19 141, 13.4387, -124.18333, 41.745 https://cmr.earthdata.nasa.gov/search/concepts/C2105865675-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V55H7DGQ_Not Applicable Archival and Discovery of November 4, 1952 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1952-10-29 1952-11-08 167.7383, -18.4758, -159.5916666, 54.317 https://cmr.earthdata.nasa.gov/search/concepts/C2105865672-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V57H1GW8_Not Applicable Archival and Discovery of June 15, 1896 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1896-06-13 1896-06-21 -157.86667, 21.30667, -122.47834, 37.85 https://cmr.earthdata.nasa.gov/search/concepts/C2105865667-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V5862DPB_Not Applicable Airborne Magnetic Trackline Database NOAA_NCEI STAC Catalog 1958-12-06 2011-02-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107121616-NOAA_NCEI.umm_json The NOAA National Centers for Environmental Information (formerly National Geophysical Data Center) receive airborne magnetic survey data from US and non-US agencies. In an effort to provide a central library for digital aeromagnetic data in the public domain, NCEI is continuing to assimilate new digital data from aeromagnetic surveys in the United States. Major contributors to this important data base include the U.S. Geological Survey, U.S. Naval Oceanographic Office, U.S. Naval Research Laboratory, Woods Hole Oceanographic Institution, the University of Texas, and the Natural Resources Canada (NRCAN). The details of these surveys are contained in an automated inventory system Geophysical Data System (GEODAS). The philosophy of exchange of data from the archive for new contributions has stimulated many organizations to transfer their data holdings to the Data Center. proprietary -doi:10.7289/V598856F_Not Applicable Archival and Discovery of April 1, 1946 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1946-04-01 1946-04-04 145.583333, 35.017222, -123.3707, 48.424666 https://cmr.earthdata.nasa.gov/search/concepts/C2105865670-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V5C827KJ_Not Applicable Archival and Discovery of August 27, 1883 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1883-08-24 1883-09-01 -157.86444, 21.30333, -122.47833, 57.7833 https://cmr.earthdata.nasa.gov/search/concepts/C2105865669-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V5GX48VS_Not Applicable Archival and Discovery of December 23, 1854 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1854-12-21 1854-12-27 -122.4375, 32.70059, -117.22565, 37.69944 https://cmr.earthdata.nasa.gov/search/concepts/C2105865663-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V5TM78D3_Not Applicable Archival and Discovery of March 2, 1933 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1933-02-26 1933-03-14 -157.85, 21.5, -117.22565, 48.545 https://cmr.earthdata.nasa.gov/search/concepts/C2105865671-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. As a follow-up to a successful 2016 BEDI project resulting in the archival and discovery of data held on marigrams during four large tsunamis (1946, 1952, 1960, 1964), marigrams from five additional tsunami events in 1854, 1883, 1896, 1933, and 1968 have been digitized. These additional five tsunami events were generated in both the Pacific and Indian Oceans and are rarely cited in research due to lack of data access. The five tsunami events proposed here for reformat, archive, and discovery in 2017 reside only on these same paper marigram records. Each of these datasets are of great importance as very little digital data exists from tsunamis that occurred during this time period, particularly those prior to the turn of the 20th Century. These events are not only historically important but with new research into tsunami probabilities, are statistically important as well. Similar to seismic hazard analyses, the tsunami community is now focused on tsunami recurrence rates through probabilistic tsunami hazard analysis to support land-use and construction decision-making. As a result, measurements of these tsunamis are not only expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics, but will add a significant number of tsunami data points to recurrence rates calculations. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary -doi:10.7289/V5X0657Z_Not Applicable Archival and Discovery of March 28, 1964 Tsunami Event on Marigrams NOAA_NCEI STAC Catalog 1964-03-22 1964-03-31 168.344824, -46.598233, -139.733444, 59.5485 https://cmr.earthdata.nasa.gov/search/concepts/C2105865674-NOAA_NCEI.umm_json NOAA National Centers for Environmental Information have more than 3,000 tsunami marigram (tide gauge) records in both image and paper format. The majority of these tsunami marigram records were scanned to high-resolution digital tiff images during the NOAA Climate Data Modernization Program (CDMP). There still remain shelves full of deteriorating paper records that are in need of rescue reformatting to scanned images before they are lost. The 1946 tsunami is one of four 20th century tsunami events which are historically important but data during each reside only on the marigram records. The 1946 tsunami was the impetus for establishment of the Pacific Tsunami Warning Center after impact to the Hawaiian Islands. The 1952, 1960, and 1964 tsunamis were each generated by three of the greatest of all recorded earthquakes. The 1960 tsunami, in particular, was generated by the largest earthquake ever recorded, a magnitude 9.5 off the central coast of Chile. Measurements of these tsunamis are expected to provide researchers with important information linking earthquake rupture to tsunami generation and propagation characteristics. All data reformatted as part of this project will be brought into compliance with NOAA Data Directives and meet the requirements for Data Management, Discoverability, Accessibility, Documentation, Readability, and Data Preservation and Stewardship as per the Big Earth Data Initiative (BEDI). BEDI is designed to promote interoperability of Earth observation data across Federal agencies, systems and platforms through the improvement of data management practices and increased discoverability, accessibility, and usability of data collections. proprietary drivers-of-the-microbial-metabolic-quotient-across-global-grasslands_1.0 Drivers of the microbial metabolic quotient across global grasslands ENVIDAT STAC Catalog 2023-01-01 2023-01-01 144.140625, -25.6309638, -148.359375, 65.4448709 https://cmr.earthdata.nasa.gov/search/concepts/C3226081473-ENVIDAT.umm_json This dataset contains all data on which the following publication below is based. Paper Citation: Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T., Broadbent, Arthur A.D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Fay, Philip A., Hagedorn, Frank, Knops, Johannes M.H., Lembrechts, Jonas, J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Drivers of the microbial metabolic quotient across global grasslands. Global Ecology and Biogeography Please cite this paper together with the citation for the datafile. The microbial metabolic quotient (MMQ; mg CO2-C mg MBC-1 h-1), defined as the amount of microbial CO2 respired (MR; mg CO2-C kg soil-1 h-1) per unit of microbial biomass C (MBC; mg C kg soil-1), is a key parameter for understanding the microbial regulation of the carbon (C) cycle, including soil C sequestration. Here, we experimentally tested hypotheses about the individual and interactive effects of multiple nutrient addition (NPK+micronutrients) and herbivore exclusion on MR, MBC, and MMQ across 23 sites (5 continents). Our sites encompassed a wide range of edaphoclimatic conditions, thus we assessed which edaphoclimatic variables affected MMQ the most and how they interacted with our treatments. Soils were collected in plots with established experimental treatments. MR was assessed in a five-week laboratory incubation without glucose addition, MBC via substrate-induced respiration. MMQ was calculated as MR/MBC and corrected for soil temperatures (MMQsoil). Using LMMs and SEMs, we analysed how edaphoclimatic characteristics and treatments interactively affected MMQsoil. MMQsoil was higher in locations with higher mean annual temperature, lower water holding capacity, and soil organic C concentration, but did not respond to our treatments across sites as neither MR nor MBC changed. We attributed this relative homeostasis to our treatments to the modulating influence of edaphoclimatic variables. For example, herbivore exclusion, regardless of fertilization, led to greater MMQsoil only at sites with lower soil organic C (<1.7%). Our results pinpoint the main variables related to MMQsoil across grasslands and emphasize the importance of the local edaphoclimatic conditions in controlling the response of the C cycle to anthropogenic stressors. By testing hypotheses about MMQsoil across global edaphoclimatic gradients, this work also helps to align the conflicting results of prior studies. proprietary drought-alters-c-footprint-of-trees-in-soil-13c-pulse-labelling-experiment_1.0 Drought alters C footprint of trees in soil: tracking the spatio-temporal fate of 13C labelled assimilates in the soil ENVIDAT STAC Catalog 2021-01-01 2021-01-01 7.5325012, 46.2542959, 7.6945496, 46.339691 https://cmr.earthdata.nasa.gov/search/concepts/C2789814585-ENVIDAT.umm_json Data from pulse-labelling experiment with 100-year old trees of a naturally dry pine forest exposed to a 15-year-long irrigation experiment. Canopies of 10 trees were labelled for 3 hours with 13CO2 and the fate of this label was traced for one year in stem and soil respiration and in microbial biomass around these trees. Data include (1) microclimatic data and soil respiration rates of the year following pulse labelling. (2) Temporal patterns of the 13C signal and 13C excess in soil respired CO2 and microbial biomass. (3) Spatial distribution of 13C signal in the soil. proprietary drought-and-beech-1000-beech-project_1.0 Data on multi-year drought impacts on European beech in northern Switzerland ENVIDAT STAC Catalog 2023-01-01 2023-01-01 7.4761963, 47.2866819, 9.1351318, 47.8242201 https://cmr.earthdata.nasa.gov/search/concepts/C3226081555-ENVIDAT.umm_json This study investigated multi-year drought impacts on beech forests through a unique large-scale monitoring of 963 individual beech trees, which showed either premature leaf discoloration during the drought in summer 2018 or no visible damage. We conducted the study in two highly drought-affected regions in northern Switzerland and one less drought-affected region located further south. We quantified the development of crown dieback and tree mortality as well as secondary drought damage, i.e. the presence of bleeding cankers and bark beetle infestations, in these trees for three consecutive years. We also determined the impact of several potential climate- and stand-related (predisposing) factors on mortality and drought legacy processes. proprietary @@ -12752,7 +11427,6 @@ ecmwf_met_1deg_1222_1 ISLSCP II ECMWF Near-Surface Meteorology Parameters ORNL_C ecological-properties-of-urban-ecosystems-biodiversity-dataset-of-zurich_1.0 Ecological properties of urban ecosystems. Biodiversity dataset of Zurich ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.4639359, 47.3297483, 8.6026382, 47.4276227 https://cmr.earthdata.nasa.gov/search/concepts/C2789814615-ENVIDAT.umm_json Richness, site occurrence and abundance data of bees, beetles, birds, hoverflies, net-wingeds, true bugs, snails, spiders, milipides, wasps collected in the city of Zurich using different sampling techniques, and the environmental variables for each sampling site. Data are provided on request to contact person against bilateral agreement. proprietary ecosystem-coupling-and-multifunctionality-exclosure-experiment_1.0 Ecosystem coupling and multifunctionality - exclosure experiment ENVIDAT STAC Catalog 2018-01-01 2018-01-01 10.0270844, 46.59481, 10.3951263, 46.7662842 https://cmr.earthdata.nasa.gov/search/concepts/C2789814632-ENVIDAT.umm_json "This dataset contains all data on which the following publication below is based. __Paper Citation:__ > Risch AC, Ochoa-Hueso R, van der Putten WH, Bump JK, Busse MD, Frey B, Gwiazdowicz DJ, Page-Dumroese DS, Vandegehuchte ML, Zimmermann S, Schütz M. Size-dependent loss of aboveground animals differentially affects grassland ecosystem coupling and functions. 2018. Nature Communications 9: 3684. [doi: 10.1038/s41467-018-06105-4](https://doi.org/10.1038/s41467-018-06105-4). Please cite this paper together with the citation for the datafile. #Methods ##Study sites The experimental exclosure setups were installed within the SNP (IUCN category Ia preserve; Dudley 2008), in south-eastern Switzerland. The park covers 172 km2 of forests and subalpine and alpine grasslands along with scattered rock outcrops and scree slopes. The entire area has been protected from human impact (no hunting, fishing, camping or off-trail hiking) since 1914. Large, fairly homogenous patches of short- and tall-grass vegetation, which originate from different historical management and grazing regimes, cover the park’s subalpine grasslands entirely. Short-grass vegetation developed in areas where cattle used to rest (nutrient input) prior to the park’s foundation (14th century to 1914) (Schütz and others 2003, 2006) and is dominated by lawn grass species such as Festuca rubra L., Briza media L. and Agrostis capillaris L. (Schütz and others 2003, 2006). Today, this vegetation type is intensively grazed by diverse vertebrate and invertebrate communities that inhabit the park and consume up to 60% of the available biomass (Risch and others 2013). Tall-grass vegetation developed where cattle formerly grazed, but did not rest, and is dominated by rather nutrient-poor tussocks of Carex sempervirens Vill. and Nardus stricta L. (Schütz and others 2003, 2006). This vegetation type receives considerably less grazing, with only roughly 20% of the biomass consumed (Risch and others 2013). Consequently, the two vegetation types together represent a long-term trajectory of changes in grazing regimes. Underlying bedrock of all grasslands is dolomite, which renders these grasslands rather poor in nutrients regardless of former and current land-use regimes. ##Experimental design To progressively exclude aboveground vertebrate and invertebrate animals, we established 18 size-selective exclosure setups (nine in short-grass, nine in tall-grass vegetation) distributed over six subalpine grasslands across the SNP (Risch and others 2013, 2015). Elevation differences of exclosure locations did not exceed 350 m (between 1975 and 2300 m a.s.l.). The exclosures were established immediately after snowmelt in spring 2009 and were left in place for five consecutive growing seasons (until end of 2013). They were, however, temporarily dismantled every fall (late October after first snowfall) to protect them from avalanches. They were re-established in the same location every spring immediately after snowmelt. Each size-selective exclosure setup consisted of five plots (2 x 3 m) that progressively excluded aboveground vertebrates and invertebrates from large to small. The plots are labelled according to the guilds that had access to them “L/M/S/I”, “M/S/I”, “S/I”, “I”, “None”; L = large mammals, M = medium mammals, S = small mammals, I = invertebrates, None = no animals had access. As we only had permission to have the experimental setup in place for five consecutive growing seasons, the experiment had to be completely dismantled in the late fall of 2013 and all material removed from the SNP. Our exclosure design was aimed at excluding mammalian herbivores, but naturally also excluded the few medium and small mammalian predators, as well as the entire aboveground invertebrate food web. A total of 26 large to small mammal species can be found in the SNP, but large apex predators are missing (wolf, bear, lynx) . Reptiles, amphibians and birds are scarce to absent in the subalpine grasslands under study. Only two reptile species occur in the park and they are confined to rocky areas that warm up enough for them to survive. One frog species spawns in an isolated pond far from our grasslands. Only three bird species occasionally feed on the subalpine grasslands. Using game cameras (Moultrie 6MP Game Spy I-60 Infrared Digital Game Camera, Moultrie Feeders, Alabaster, AL, USA), we did observe that the medium- and small-sized mammals (marmot/hares and mice) were not afraid to enter the fences and feed on their designated plots. We never spotted reptiles, amphibians or birds on camera. We distinguished between 59 higher aboveground-dwelling invertebrate taxa that our size-selective exclosures excluded (see also methods for aboveground-dwelling invertebrates below). The “L/M/S/I” plot (not fenced) was located at least 5 m from the 2.1 m tall and 7 x 9 m large main electrical fence that enclosed the other four plots. The bottom wire of this fence was mounted at 0.5 m height and was not electrified to enable safe access for medium and small mammals, while fencing out the large ones. Within each main fence, we randomly established four 2 x 3 m plots separated by 1-m wide walkways from one another and from the main fence line: 1) the “M/S/I” plots were unfenced, allowing access to all but the large mammals; 2) the “S/I” plots (10 x 10 cm electrical mesh fence) excluded all medium-sized mammals. Note that the bottom 10 cm of this fence remained non-electrified to enable safe access for small mammals; 3) the “I” plots (2 x 2 cm metal mesh fence) excluded all mammals. We double-folded the mesh at the bottom 50 cm to reduce the mesh size to smaller than 1 x 1 cm openings; and 4) the “None” plots were surrounded by a 1 m tall mosquito net (1.5 x 2 mm) to exclude all animals. The top of the plot was covered with a mosquito-meshed wooden frame mounted to the corner posts (roof). We treated these plots a few times with biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) to remove insects that might have entered during data collection or that hatched from the soil, but amounts were negligible and did not impact soil moisture conditions within these plots. To assess whether the design of the “None” exclosure (mesh and roof) affected the response variables within the plots and, therefore, influenced the results, we established an additional six “micro-climate control” exclosures (one in each of the six grasslands) (Risch and others 2013, 2015). These exclosures were built as the “None” exclosures but were open at the bottom (20 cm) of the 3-m side of the fence facing away from the prevailing wind direction to allow invertebrates to enter. A 20-cm high and 3-m long strip of metal mesh was used to block access to small mammals. Thus, this construction allowed a comparable micro-climate to the “None” plots, but also a comparable feeding pressure by invertebrates to the “I” plots. We compared various properties within these exclosures against one another to assess if our construction altered the conditions in the “None” plots. We showed that differences in plant (e.g., vegetation height, aboveground biomass) and soil properties (e.g., soil temperature, moisture) found between the “I” and the “None” treatments were not due to the construction of the “None” exclosure, but a function of animal exclusions, although the amount of UV light reaching the plant canopy was significantly reduced (Risch and others 2013). ##Aboveground invertebrate sampling Aboveground invertebrates were sampled with two different methods to capture both ground- and plant-dwelling organisms: 1) we randomly placed two pitfall traps (67 mm in diameter, covered with a roof) filled with 20% propylene glycol in one 1 x 1 m subplot of the 2 x 3 m treatment plots in spring 2013 (May) and emptied them every two weeks until late September 2013 (Vandegehuchte and others 2017b, 2018). A pitfall trap consisted of a plastic cylinder (13 cm depth, 6.75 cm diameter). Within each cylinder we placed a 100 ml plastic vial with outer diameter 6.70 cm and on top of the cylinder we placed a plastic funnel to guide the invertebrates into the vials. Each trap was cover with a cone-shaped and transparent plastic roof to protect the trap from rain (Vandegehuchte and others 2017b, 2018). Note that in the “None” plots only one trap was placed as control to check for effectiveness of the exclosure. 2) We vacuumed all invertebrates from a 60 x 60 cm area on another 1 x 1 m subplot with a suction sampler (Vortis, Burkhard manufacturing CO, Ltd., Rickmansworth, Hertfordshire, UK) every month from June to September 2013 (Vandegehuchte and others 2017b, 2018). For this purpose, we quickly placed a square plastic frame (60 x 60 x 40 cm) with a closable mosquito mesh sleeve attached to the top edge into the plot from the outside. The suction sample was then inserted into through the sleeve and operated for 45 s to collect the invertebrates (Vandegehuchte and others 2017b, 2018). We sorted the ≈100 000 individuals collected with both methods by hand and identified each individual morphologically to the lowest taxonomic level feasible (59 taxa, including orders, suborders, subfamilies, families; phylum for Mollusca). These taxa belonged to the following feeding types: 19 herbivores, 16 detritivores, 9 predators, 8 mixed feeders, 5 omnivores and 2 non-classified feeders (or not feeding as adults) (Vandegehuchte and others 2017b). We summed the numbers from the two pitfall traps and the suction sampling over the course of the 2013 season to represent the aboveground invertebrate abundance and community composition of a plot. Note: we did not specifically attempt to catch flying invertebrates with e.g., sticky traps, thus a few flying insects may have been missed with our vacuum sampling approach. ##Sampling of plant properties The vascular plant species composition was assessed at peak biomass every summer (July) by estimating the frequency of occurrence of each species with the pin count method in each plot (Frank and McNaughton 1990). A total of 172 taxa occurred within our 90 plots and we calculated plant species richness for each plot separately. We used the 2013 data in this study. Plant quality was assessed every year in July and September; here we use plant quality at the end of the experiment (September 2013). Two 10 x 100 cm wide strips of vegetation per plot were clipped, combined, dried at 65°C, and ground (Pulverisette 16, Fritsch, Idar-Oberstein, Germany) to pass through a 0.5 mm sieve. Twenty randomly selected samples across all treatments were analysed for N (Leco TruSpec Analyser, Leco, St. Joseph, Michigan, USA) (Vandegehuchte and others 2015). Nitrogen concentrations of the other samples were then estimated from models established for the experiment and the entire SNP relating Fourier transform-near infrared reflectance (FT-NIR) spectra to the measured values of N using a multi-purpose FT-NIR spectrometer (Bruker Optics, Fällanden, Switzerland) (Vandegehuchte and others 2015). Root biomass was sampled every fall by collecting five 2.2 cm diameter x 10 cm deep soil samples (Giddings Machine Company, Windsor, CO, USA) per plot (450 samples year-1). The samples were dried at 30 °C and roots were sorted from the sample by hand. We sorted each sample for 1 h which allowed to retrieve over 90% of all roots present in the samples (Risch and others 2013). The roots were then dried at 65 °C for 48 and weighed to the nearest mg. We averaged the values per plot and used the 2013 data only in this study. ##Sampling of edaphic communities In 2009, 2010, and 2011 we collected three composited soil samples (5 cm diameter x 10 cm depth; AMS Samplers, American Falls, ID, USA) and assessed bacterial community structure using T-RFLP profiling (Liu and others 1997; Blackwood and others 2003; Hodel and others 2014). We detected a total of 89 operational taxonomic units (OTUs). These values are in accordance with other studies reporting OTU richness (Wirthner and others 2011; Zumsteg and others 2012; Meola and others 2014) using T-RFLP profiling, a method that detects the most abundant, and thus likely, the most relevant, taxa. We averaged the data over the three years of collections for our calculations. Microbial biomass carbon (MBC) was determined with the substrate-induced method (Anderson and Domsch 1978) every fall (September) between 2009 and 2013 by collecting three mineral soil samples (5 cm diameter × 10 cm mineral soil core, AMS Samplers, American Falls, ID, USA). The three samples were combined (90 samples for each sampling year), immediately put on ice, taken to the laboratory, passed through a 2-mm sieve and stored at 4°C. Again, we only used the 2013 data in this study. Soil samples (5 cm diameter x 10 cm depth) to extract soil arthropods were collected in June, July, and August 2011 with a soil corer lined with a plastic sleeve to ensure an undisturbed sample (total of 270 samples). The plastic line core was immediately sealed on both ends using cling film and put into a cooler. All plots were sampled within three days and the extraction of arthropods started the evening of the sampling day using a high-gradient Tullgren funnel apparatus (Crossley and Blair 1991; Vandegehuchte and others 2015). Samples were kept in the extractor for four days and the soil arthropods were collected in 95% ethanol. All individuals were counted and each individual was identified morphologically to the lowest level feasible [76 taxa, including orders, suborders, subfamilies, families (Protura, Thysanoptera, Aphidina, Psylina, Coleoptera, Brachycera, Nematocera, Auchenorryncha, Heteroptera, Formicidae); sub-phylum for Myriapoda, for Acari and Collembola also including morpho-species). Note that we also included larval stages (nine of the 76 taxa) (Vandegehuchte and others 2015). All data were summed over the season. A detailed species list for mites and collembolans is published (Vandegehuchte and others 2017a) [https://doi.org/10.1371/journal.pone.0118679.s001]. Earthworms are rare in the SNP and therefore were not included. We collected eight random 2.2 cm diameter x 10 cm deep soil cores from each plot in September 2013 to determine the soil nematode community composition. The samples were mixed and the nematodes were extracted from 100 ml of fresh soil using Oostenbrink elutriators (Oostenbrink 1960). All nematodes in a 1 ml of the 10 ml extract were counted, a minimum of 150 individuals sample-1 were identified to genus or family level using (Bongers 1988), the numbers of all nematodes were extrapolated to the entire sample and expressed for a 100 g dry sample. In total we identified 63 genus or family levels (Vandegehuchte and others 2015). The list of all the nematodes found is published (Vandegehuchte and others 2015) [http://www.oikosjournal.org/appendix/oik-03341] or DOI: [doi: 10.1111/oik.03341]. We are aware that sampling soil microbes from 2009 to 2011 and soil arthropods in 2011 was not ideal, but we are positive that this does not bias the results. Most of the parameters measured in our experiment either already showed a treatment response after the first growing season (e.g., plant biomass) or did not respond over the entire time experiment (e.g., microbial biomass C). The microbial community composition (2009 – 2011) was highly influenced by inter-annual differences in temperature and precipitation, but did not differ between treatments or vegetation types (Hodel and others 2014). We therefore felt comfortable using the 2009 through 2011 data for describing the soil microbial community in our experimental treatments. Similarly, we are positive that our soil arthropod data are representative. We did assess soil arthropods in August 2012 and found no differences to the August 2011 data. However, we did not feel comfortable combining the 2011 June, July, August data with only August data for 2012 for our analyses. ##Sampling of soil properties We collected three soil samples (5 cm diameter x 10 cm depth) in each plot in September 2013 after removing the vegetation. First, we collected the top layer of mineral soil rich in organic matter, the surface organic layer or rhizosphere, typically 1 to 3 cm in depth with a soil corer (AMS Samples, American Falls, Idaho, USA). Second, we collected a 10 cm mineral soil core beneath this surface layer. The cores for each layer were composited, dried at 65 °C for 48 h and fine-ground to pass a 0.5 mm screen. We then analysed all samples for total C using a Leco TruSpec Analyser (Leco, St. Joseph, Michigan, USA). Mineral soil pH was measured potentiometrically in 1:2 soil:CaCl2 solution with an equilibration time of 30 min. Soil net N mineralisation was assessed during the 2013 growing season (Risch and others 2015). For this purpose, we randomly collected a 5 cm diameter x10 cm deep soil sample with a soil corer (AMS Samples, American Falls, Idaho, USA) after clipping the vegetation in June 2013. After weighing and sieving (4 mm mesh) the soil, we extracted a 20 g subsample in 1 mol l-1 KCl for 1.5 h on an end-over-end shaker and thereafter filtered it through ashless folded filter paper (DF 5895 150, ALBET LabScience, Hahnenmühle FineArt GmbH, Dassel, Germany). From these filtrates NO3- concentrations were measured colorimetrically (Norman and Stucki 1981) and NH4+with flow injection analysis (FIAS 300, Perkin Elmer, Waltham Massachusetts, USA) (Risch and others 2015). We dried the rest of the sample 105 °C to constant mass to determine fine,fraction bulk density. A second soil sample was collected within each plot in June 2013 with a corer lined with a 5 x 13 cm aluminium cylinder. The corer was driven 11.5 cm deep into the soil so that the top 1.5 cm of the cylinder remained empty. Into this space we placed a polyester bag (250 µm) filled an ion-exchanger resin to capture the incoming N. The bag was filled with a 1:1 mixture of acidic and alkaline exchanger resin (ion-exchanger I KA/ion exchanger IIIAA, Merck AG, Darmstadt, Germany). We then removed 1.5 cm soil at the bottom of the cylinder and placed a second resin exchanger bag into this space to capture the N leached from the soil column. To assure that the exchange resin was saturated with H+ and Cl- prior to filling the bags, the mixture was stirred with 1.2 ml l-1 HCl for 1 h and then rinsed with demineralized water until the electrical conductivity of the water reached 5 µm cm-1. The cylinder with the resin bags in place was reinserted into the soil with the top flush to the soil surface and incubated for three months. We recollected the cylinders in September 2013. Each resin bag and 20 g of sieved soil (4 mm mesh) from each cylinder were then separately extracted with KCl and NO3- and NH4+ concentrations were measured. Nitrate and NH4+ concentrations of all samples were then converted to a content basis by multiplying their values with fine fraction bulk density. Net N mineralisation was thereafter calculated as the difference between the N content of the samples collected at the end of the three-month incubation (including the N extracted from the bottom resin bag) and the N content at the beginning of the incubation (Risch and others 2015). Soil CO2 emissions were measured every two weeks between 0900 and 1700 hrs from early May through late September 2013 with a PP-Systems SRC-1 soil respiration chamber (15 cm high, 10 cm diameter; closed circuit) attached to a PP-Systems EGM-4 infrared gas analyser (PP-Systems, Amesbury, MA, USA) on two locations per plot (Risch and others 2013). The chamber was placed on randomly placed, permanently installed PVC collars (10 cm diameter) driven 5 cm into the soil at the beginning of the study (Risch and others 2013). Freshly germinated plants growing within the collars were removed prior to each measurement to avoid measuring plant respiration or photosynthesis. The two measurements collected per plot and sampling date were averaged. Soil moisture (with time domain reflectometry; Field-Scout TDR-100, Spectrum Technologies, Plainfield, Illionois, USA) and temperature (with a waterproof digital pocket thermometer; Barnstead International, Dubuque, Iowa, USA) were measured at five random locations per plot every two weeks during the growing seasons during the experiment for the 0 to 10 cm depth (Risch and others 2013, 2015). As soil moisture and soil temperature were highly negatively correlated (Risch and others 2013), we only used soil moisture for this study. We used plot-level averages of all values available to capture soil moisture variability during the five years of the experiment. The results remained unchanged when we only used soil moisture from the 2013 growing season. ##Numeral calculations and statistical analyses Ecosystem coupling. We conducted principal component analyses (PCAs; unscaled) at the complete dataset level using the abundances of each taxonomical entity to describe each of the five different communities used in this study: aboveground-dwelling invertebrates, vascular plants, soil microorganisms, soil arthropods and soil nematodes. We retained the first two components (PCA axis 1 and PCA axis 2) of each analysis as we found them to adequately represent the temporal and spatial variability of our 90 treatment plots in previous studies55,67. Together they explained a total of 71.70% of the variation for aboveground invertebrates, 44.36% for plants, 44.85% for soil microorganisms, 61.85% for soil arthropods and 77.19% for soil nematodes. In addition, we used soil pH and soil organic C content as a proxy for soil chemical properties, soil bulk density as a proxy for soil physical properties and soil moisture (negatively correlated with soil temperature) as a proxy for soil micro-climatic conditions for an overall total of fourteen constituents. We calculated ecosystem coupling9 for each exclosure treatment within each vegetation type (i.e., 2 5 treatment combinations in total) as an integrated measure of pairwise ecological interactions between ecosystem constituents representing ecological communities and the soil abiotic environment. These ecological interactions are defined by non-parametric Spearman rank correlation analyses between two constituents, excluding interactions involving two abiotic constituents (e.g., soil pH vs. soil moisture) and interactions between the first (PC1) and second (PC2) component of each community type, as these are orthogonal by definition. Interactions between abiotic constituents were excluded from the analyses because the focus of our study was on communities and how they interact with one another and their surrounding environment; therefore, including abiotic-abiotic interactions was not of interest here. Given that the effectiveness of our experimental design resulted in that no community composition data of aboveground-dwelling invertebrates was available for the “None” plots (all animals excluded), only thirteen instead of fourteen constituents were included in the ecosystem coupling calculations for this treatment. The complete absence of aboveground invertebrates represents the most extreme case of disturbance between aboveground animal communities and the rest of the ecosystem constituents. This may have resulted in a slight overestimation of ecosystem coupling for these plots. Average ecosystem coupling was calculated as follows: Ecosystem coupling= where Xi is the absolute Coupling was calculated value of the Spearman’s rho coefficient of the ith correlation for each treatment within each vegetation type (i.e., based on nine replicates each), considering and n is the number of pairwise comparisons considered (n = a total of 80; interactions (56 in the case of the “None” treatment). We considered a total of 40 biotic-biotic interactions (i.e., concerning two community-level principal components such as plants and microbes; 24 in the case of the “None” treatment) and 40 abiotic-biotic (i.e., concerning one community-level principal component and one abiotic factor, e.g., plant community and soil properties; 32 in the case of the “None” treatment). Coupling was calculated for each treatment within each vegetation type (i.e., based on nine replicates each), considering a total of 80 interactions (56 in the case of the “None” treatment). We considered a total of 40 biotic-biotic interactions (i.e., concerning two community-level principal components such as plants and microbes; 24 in the case of the “None” treatment) and 40 abiotic-biotic (i.e., concerning one community-level principal component and one abiotic factor, e.g., plant community and soil properties; 32 in the case of the “None” treatment). To establish whether constituents were significantly and positively coupled within treatments (i.e., the average of their correlation coefficients were greater than in a null model where correlation only happens by chance), we calculated one-tailed p-values based on permutation tests with 999 permutations. We considered six ecosystem functions and process rates commonly used to assess ecosystem functioning (Meyer and others 2015; Manning and others 2018). Plant N content represents a measure of forage quality, while plant richness has been shown to stabilise biomass production, thus allowing the system to respond to changes in herbivory. Soil net N mineralisation, soil respiration, root biomass, and microbial biomass represent fluxes or stocks of energy. For all functions and processes higher values represent higher functioning (Manning and others 2018). All these variables were measured in the last year of the experiment (2013). We then quantified ecosystem multifunctionality using the multiple threshold approach (Byrnes and others 2014; Manning and others 2018), which considers the number of functions that are above a certain threshold, over a series of threshold values (typically 10-99%) that are defined based on the maximum value of each function. We weighted all our functions equally for these calculations (Manning and others 2018). The number of functions in a plot with values higher than a given threshold value for the respective function is summed up. The sum represents ecosystem multifunctionality for that plot. Given that choosing any particular threshold as a measure of ecosystem multifunctionality is arbitrary, we calculated the average of thresholds from 10-90% (in 10% intervals) as a more integrated representation of ecosystem multifunctionality. We used Pearson correlations to explore the relationships between ecosystem coupling (all interactions, biotic-biotic interactions, abiotic-biotic interactions involving above- and belowground constituents, and all interactions, biotic-biotic interactions, abiotic-biotic interactions involving belowground constituents only) and ecosystem multifunctionality by calculating the slopes of all relationships between ecosystem coupling and multifunctionality for all thresholds between 10 and 99%. We also related ecosystem coupling with the average of multifunctionality at thresholds between 30-80% as explained before and considered this correlation as a robust indication of the type of association between these two variables. In addition, we explored the relationships between ecosystem coupling (all interactions, biotic-biotic interactions, abiotic-biotic interactions involving above- and belowground constituents, and all interactions, biotic-biotic interactions, abiotic-biotic interactions involving belowground constituents only) and individual ecosystem functions. The effects of exclosures and vegetation type on individual functions and multifunctionality were evaluated using linear mixed effects models ('lme' function of the nlme package), with exclosure and vegetation type as fixed effects and fence as a random factor. All statistical analyses and numerical calculations were done in R version 3.4.0 (R Core Team 2016). #References - Anderson J, Domsch K. 1978. A physiological method for the quantitative measurement of microbial biomass in soil. Soil Biol Biochem 10:215–21. - Blackwood CB, Marsh T, Kim S-H, Paul EA. 2003. Terminal Restriction Fragment Length Polymorphism Data Analysis for Quantitative Comparison of Microbial Communities. Appl Environ Microbiol 69:926–32. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC143601/ - Bongers T. 1988. De nematoden von Nederland. Schoorl, The Netherlands: Pirola - Byrnes JEK, Gamfeldt L, Isbell F, Lefcheck JS, Griffin JN, Hector A, Cardinale BJ, Hooper DU, Dee LE, Duffy JE. 2014. Investigating the relationship between biodiversity and ecosystem multifunctionality: Challenges and solutions. Methods Ecol Evol 5:111–24. - Crossley DAJ, Blair JM. 1991. A high-efficiency low-technology Tulgren-type extractor for soil microarthopods. Agric Ecosyst Environ 34:187–92. - Dudley N. 2008. Guidelines for applying protected area managment categories. Gland: IUCN - Frank DA, McNaughton SJ. 1990. Aboveground biomass estimation with the canopy intercept method: A plant growth form caveat. Oikos 57:57–60. - Haynes AG, Schütz M, Buchmann N, Page-Dumroese DS, Busse MD, Risch AC. 2014. Linkages between grazing history and herbivore exclusion on decomposition rates in mineral soils of subalpine grasslands. Plant Soil 374. - Hodel M, Schütz M, Vandegehuchte ML, Frey B, Albrecht M, Busse MD, Risch AC. 2014. Does the aboveground herbivore assemblage influence soil bacterial community composition and richness in subalpine grasslands? Microb Ecol 68:584–95. - Liu WT, Marsh TL, Cheng H, Forney LJ. 1997. Characterization of microbial diversity by determining terminal restriction fragment length polymorphisms of genes encoding 16S rRNA. Appl Environ Microbiol 63:4516–22. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC168770/ - Manning P, van der Plas F, Soliveres S, Allan E, Maestre FT, Mace G, Whittingham MJ, Fischer M. 2018. Redefining ecosystem multifunctionality. Nat Ecol Evol 2:427–36. https://doi.org/10.1038/s41559-017-0461-7 - Meola M, Lazzaro A, Zeyer J. 2014. Diversity, resistance and resilience of the bacterial communities at two alpine glacier forefields after a reciprocal soil transplantation. Environ Microbiol 16:1918–34. https://onlinelibrary.wiley.com/doi/abs/10.1111/1462-2920.12435 - Meyer ST, Koch C, Weisser WW. 2015. Towards a standardized Rapid Ecosystem Function Assessment (REFA). Trends Ecol Evol 30:390–7. http://www.sciencedirect.com/science/article/pii/S0169534715000968 - Norman R., Stucki JW. 1981. The determination of nitrate and nitrite in soil extracts by ultraviolet spectrophotometry. Soil Sci Soc Am J 45:347–53. - Ochoa-Hueso R. 2016. Non-linear disruption of ecological interactions in response to nitrogen deposition. Ecology 87:2802–2814. - Oostenbrink M. 1960. Estimating nematode populations by some selected methods. In: Sasser NJ, Jenkins WR, editors. Nematology. Chapel Hill, NC, USA: University of North Carolina Press. pp 85–101. - R Core Team. 2016. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing - Risch AC, Haynes AG, Busse MD, Filli F, Schütz M. 2013. The response of soil CO2 fluxes to progressively excluding vertebrate and invertebrate herbivores depends on ecosystem type. Ecosystems 16:1192–202. - Risch AC, Schütz M, Vandegehuchte ML, Van Der Putten WH, Duyts H, Raschein U, Gwiazdowicz DJ, Busse MD, Page-Dumroese DS, Zimmermann S. 2015. Aboveground vertebrate and invertebrate herbivore impact on net N mineralization in subalpine grasslands. Ecology 96:3312–22. - Schütz M, Risch AC, Achermann G, Thiel-Egenter C, Page-Dumroese DS, Jurgensen MF, Edwards PJ. 2006. Phosphorus translocation by red deer on a subalpine grassland in the Central European Alps. Ecosystems 9:624–633. - Schütz M, Risch AC, Leuzinger E, Krüsi BO, Achermann G. 2003. Impact of herbivory by red deer (Cervus elaphus L.) on patterns and processes in subalpine grasslands in the Swiss National Park. For Ecol Manage 181:177–88. - Vandegehuchte ML, van der Putten WH, Duyts H, Schütz M, Risch AC. 2017a. Aboveground mammal and invertebrate exclusions cause consistent changes in soil food webs of two subalpine grassland types, but mechanisms are system-specific. Oikos 126:212–23. - Vandegehuchte ML, Raschein U, Schütz M, Gwiazdowicz DJ, Risch AC. 2015. Indirect short- and long-term effects of aboveground invertebrate and vertebrate herbivores on soil microarthropod communities. PLoS One 10:e0118679. - Vandegehuchte ML, Schütz M, de Schaetzen F, Risch AC. 2017b. Mammal-induced trophic cascades in invertebrate food webs are modulated by grazing intensity in subalpine grassland. J Anim Ecol 86:1434–46. - Vandegehuchte ML, Trivellone V, Schütz M, Firn J, de Schaetzen F, Risch AC. 2018. Mammalian herbivores affect leafhoppers associated with specific plant functional types at different timescales. Funct Ecol 32:545–55. - Wirthner S, Frey B, Busse MD, Schütz M, Risch AC. 2011. Effects of wild boar (Sus scrofa L.) rooting on the bacterial community structure in mixed-hardwood forest soils in Switzerland. Eur J Soil Biol 47:296–302. http://dx.doi.org/10.1016/j.ejsobi.2011.07.003 - Zumsteg A, Luster J, Göransson H, Smittenberg RH, Brunner I, Bernasconi SM, Zeyer J, Frey B. 2012. Bacterial, Archaeal and Fungal Succession in the Forefield of a Receding Glacier. Microb Ecol 63:552–64. https://doi.org/10.1007/s00248-011-9991-8" proprietary ecosystem_roots_1deg_929_1 ISLSCP II Ecosystem Rooting Depths ORNL_CLOUD STAC Catalog 1995-02-01 1995-07-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784847849-ORNL_CLOUD.umm_json The goal of this study was to predict the global distribution of plant rooting depths based on data about global aboveground vegetation structure and climate. Vertical root distributions influence the fluxes of water, carbon, and soil nutrients and the distribution and activities of soil fauna. Roots transport nutrients and water upwards, but they are also pathways for carbon and nutrient transport into deeper soil layers and for deep water infiltration. Roots also affect the weathering rates of soil minerals. For calculating such processes on a global scale, data on vertical root distributions are needed as inputs to global biogeochemistry and vegetation models. In the Project for Intercomparison of Land Surface Parameterization Schemes (PILPS), rooting depth and vertical soil characteristics were the most important factors explaining scatter for simulated transpiration among 14 land-surface models. Recently, the Terrestrial Observation Panel for Climate of the Global Climate Observation System (GCOS) identified the 95% rooting depth as a key variable needed to quantify the interactions between the climate, soil, and plants, stating that the main challenge was to find the correlation between rooting depth and soil and climate features (GCOS/GTOS Terrestrial Observation Panel for Climate 1997). In response to this challenge, a data set of vertical rooting depths was collected from the literature in order to construct maps of global ecosystem rooting depths.The parameters included in these data sets are estimates for the soil depths containing 50% and 95% of all roots, termed 50% and 95% rooting depths (D50 and D95, respectively). Together, these variables can be used to calculate estimates for vertical root distributions, using a logistic equation provided in this documentation. The data represent mean ecosystem rooting depths for 1 by 1 degree grid cells. Related data sets: The ORNL DAAC offers related data sets by Jackson et al. (2003), Gordon and Jackson (2003), Schenk and Jackson (2003), and Gill and Jackson (2003).This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. proprietary -ecousm1_Not provided A comparative study on floral ecology between Malaysia and Antarctica SCIOPS STAC Catalog 1970-01-01 110.32, -66.28, 110.32, -66.28 https://cmr.earthdata.nasa.gov/search/concepts/C1214621680-SCIOPS.umm_json The major objectives of this project are as follows: 1. To determine the composition and distribution of algal flora from a wide range of habitats, which provide a conductive niche for algal population in Antarctica. 2. To compare the Antarctic and tropical algal flora, in order to determine the degree of species endemism based on evolutionary process. 3. To study the important role of habitat specificity in determining the composition of diatom assemblages. 4. To test the utility and suitability of diatom community structure as indicators of environmental stress. This is done by: 1. Conducting an ecological survey of microalgal distribution at Australian Antarctic station sites by looking into several types of habitat. 2. Identifying the microalgae samples collected based on morphology using light microscopy and SEM. 3. Comparing the algae community, structure and distribution from the tropics. The principal milestones of the project are as follows: 1. Information of microalgal distribution at several sites in Antarctica. 2. Collection of microalgae cultures. 3. Completion of identification of Antarctic microalgae. In collaboration with the Australian Antarctic Division (AAD) we have gone on an expeditions to Australian Antarctic Station of Casey and Davis. Collection of samples was made from various sources such as water, snow and soil and we have established a list of microalgae species in our collection. Comparative studies on the species diversity and distribution with tropical microalgae communities are being conducted. Physiological studies are currently in progress. proprietary ect-and-rb-data-switzerland_1.0 ECT and RB data Switzerland ENVIDAT STAC Catalog 2020-01-01 2020-01-01 6.6500243, 45.8050626, 10.5831297, 47.4867706 https://cmr.earthdata.nasa.gov/search/concepts/C2789814654-ENVIDAT.umm_json "The data set contains the data used in the publication ""On snow stability interpretation of Extended Column Test results"" by Techel et. al. (2020), published in Natural Hazards Earth System Sciences." proprietary edaa7e7324e849f683d3726088a0c7bd_NA ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global dataset of inherent optical properties (IOP) gridded on a geographic projection, Version 3.1 FEDEO STAC Catalog 1997-09-03 2016-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142506-FEDEO.umm_json The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.This dataset contains their Version 3.1 inherent optical properties (IOP) product (in mg/m3) on a geographic projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, this the IOP data is also included in the 'All Products' dataset. The inherent optical properties (IOP) dataset consists of the total absorption and particle backscattering coefficients, and, additionally, the fraction of detrital & dissolved organic matter absorption and phytoplankton absorption. The total absorption (units m-1), the total backscattering (m-1), the absorption by detrital and coloured dissolved organic matter, the backscattering by particulate matter, and the absorption by phytoplankton share the same spatial resolution of ~4 km. The values of IOP are reported for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm). This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.) proprietary edc_landcover_xdeg_930_1 ISLSCP II IGBP DISCover and SiB Land Cover, 1992-1993 ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784854847-ORNL_CLOUD.umm_json This data set describes the geographic distributions of 17 classes of land cover based on the International Geosphere-Biosphere DISCover land cover legend (Loveland and Belward 1997) and the 15 classes of the SiB model processed at the USGS EROS Data Center (EDC). Specifically, the resampled DISCover datasets were derived from the 1km DISCover data set compiled by the USGS. The 1km data sets for each classification scheme were aggregated to 1, 0.5 and 0.25 degree spatial resolutions for this ISLSCP II data collection. Each layer of the aggregated products corresponds to a single DISCover land cover category and the values represent the percentage of the coarse resolution cell (1 degree, etc...)occupied by that land cover category. The dominant class data show the land cover category that occupies the majority of the cell and is derived from the percentage files for each cover type. The objective of this study was to create a land cover map derived from 1 kilometer AVHRR data using a full year of data (April 1992-March 1993). This thematic map was resampled to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. During this re-processing, the original EDC land cover type and fraction maps were adjusted to match the water/land fraction of the ISLSCP II land/water mask. These maps were generated for use by global modelers and others. This data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.ISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. proprietary @@ -12824,7 +11498,15 @@ envidat_232_1.0 Reproducibility Dataset for CRYOWRF v1.0 ENVIDAT STAC Catalog 20 environmental-constraints-on-tree-growth_1.0 Environmental constraints on tree growth ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815329-ENVIDAT.umm_json Seasonal variation in environmental constraints (vapor pressure deficit – VPD, air temperature, and soil moisture) on tree growth for the potential distribution range of seven widespread Central European tree species. We simulated environmental constraints on growth fusing 3-PG model or the species’ potential distribution range within the forested area of Switzerland on a 1×1 km grid for seven dominant tree species: _Larix decidua_, _Picea abies_, _Abies alba_, _Fagus sylvatica_, _Acer pseudoplatanus_, _Pinus sylvestris_, and _Quercus robur_. For this purpose, we simulated the growth of these tree species in monocultures with the average climate observed during 1961–1990 or 1991-2018. The stands were initialized as 2-year-old plantations with an initial density of 2,500 trees ha-1 and simulated until the age of 30 years. For each simulated month, we obtained the relative contribution of environmental constraints (VPD, temperature, and soil water) on tree growth. proprietary environmental_layers_1 Marine environmental data layers for Southern Ocean species distribution modelling AU_AADC STAC Catalog 1955-01-01 2017-12-31 -180, -80, 180, -45 https://cmr.earthdata.nasa.gov/search/concepts/C1546333934-AU_AADC.umm_json This dataset is a collection of marine environmental data layers suitable for use in Southern Ocean species distribution modelling. All environmental layers have been generated at a spatial resolution of 0.1 degrees, covering the Southern Ocean extent (80 degrees S - 45 degrees S, -180 - 180 degrees). The layers include information relating to bathymetry, sea ice, ocean currents, primary production, particulate organic carbon, and other oceanographic data. An example of reading and using these data layers in R can be found at https://australianantarcticdivision.github.io/blueant/articles/SO_SDM_data.html. The following layers are provided: 1. Layer name: depth Description: Bathymetry. Downloaded from GEBCO 2014 (0.0083 degrees = 30sec arcmin resolution) and set at resolution 0.1 degrees. Then completed with the bathymetry layer manually corrected and provided in Fabri-Ruiz et al. (2017) Value range: -8038.722 - 0 Units: m Source: This study. Derived from GEBCO URL: https://www.gebco.net/data_and_products/gridded_bathymetry_data/ Citation: Fabri-Ruiz S, Saucede T, Danis B and David B (2017). Southern Ocean Echinoids database_An updated version of Antarctic, Sub-Antarctic and cold temperate echinoid database. ZooKeys, (697), 1. 2. Layer name: geomorphology Description: Last update on biodiversity.aq portal. Derived from O'Brien et al. (2009) seafloor geomorphic feature dataset. Mapping based on GEBCO contours, ETOPO2, seismic lines). 27 categories Value range: 27 categories Units: categorical Source: This study. Derived from Australian Antarctic Data Centre URL: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data Citation: O'Brien, P.E., Post, A.L., and Romeyn, R. (2009) Antarctic-wide geomorphology as an aid to habitat mapping and locating vulnerable marine ecosystems. CCAMLR VME Workshop 2009. Document WS-VME-09/10 3. Layer name: sediments Description: Sediment features Value range: 14 categories Units: categorical Source: Griffiths 2014 (unpublished) URL: http://share.biodiversity.aq/GIS/antarctic/ 4. Layer name: slope Description: Seafloor slope derived from bathymetry with the terrain function of raster R package. Computation according to Horn (1981), ie option neighbor=8. The computation was done on the GEBCO bathymetry layer (0.0083 degrees resolution) and the resolution was then changed to 0.1 degrees. Unit set at degrees. Value range: 0.000252378 - 16.94809 Units: degrees Source: This study. Derived from GEBCO URL: https://www.gebco.net/data_and_products/gridded_bathymetry_data/ Citation: Horn, B.K.P., 1981. Hill shading and the reflectance map. Proceedings of the IEEE 69:14-47 5. Layer name: roughness Description: Seafloor roughness derived from bathymetry with the terrain function of raster R package. Roughness is the difference between the maximum and the minimum value of a cell and its 8 surrounding cells. The computation was done on the GEBCO bathymetry layer (0.0083 degrees resolution) and the resolution was then changed to 0.1 degrees. Value range: 0 - 5171.278 Units: unitless Source: This study. Derived from GEBCO URL: https://www.gebco.net/data_and_products/gridded_bathymetry_data/ 6. Layer name: mixed layer depth Description: Summer mixed layer depth climatology from ARGOS data. Regridded from 2-degree grid using nearest neighbour interpolation Value range: 13.79615 - 461.5424 Units: m Source: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data 7. Layer name: seasurface_current_speed Description: Current speed near the surface (2.5m depth), derived from the CAISOM model (Galton-Fenzi et al. 2012, based on ROMS model) Value range: 1.50E-04 - 1.7 Units: m/s Source: This study. Derived from Australian Antarctic Data Centre URL: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data Citation: see Galton-Fenzi BK, Hunter JR, Coleman R, Marsland SJ, Warner RC (2012) Modeling the basal melting and marine ice accretion of the Amery Ice Shelf. Journal of Geophysical Research: Oceans, 117, C09031. http://dx.doi.org/10.1029/2012jc008214, https://data.aad.gov.au/metadata/records/polar_environmental_data 8. Layer name: seafloor_current_speed Description: Current speed near the sea floor, derived from the CAISOM model (Galton-Fenzi et al. 2012, based on ROMS) Value range: 3.40E-04 - 0.53 Units: m/s Source: This study. Derived from Australian Antarctic Data Centre URL: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data Citation: see Galton-Fenzi BK, Hunter JR, Coleman R, Marsland SJ, Warner RC (2012) Modeling the basal melting and marine ice accretion of the Amery Ice Shelf. Journal of Geophysical Research: Oceans, 117, C09031. http://dx.doi.org/10.1029/2012jc008214, https://data.aad.gov.au/metadata/records/polar_environmental_data 9. Layer name: distance_antarctica Description: Distance to the nearest part of the Antarctic continent Value range: 0 - 3445 Units: km Source: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data 10. Layer name: distance_canyon Description: Distance to the axis of the nearest canyon Value range: 0 - 3117 Units: km Source: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data 11. Layer name: distance_max_ice_edge Description: Distance to the mean maximum winter sea ice extent (derived from daily estimates of sea ice concentration) Value range: -2614.008 - 2314.433 Units: km Source: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data 12. Layer name: distance_shelf Description: Distance to nearest area of seafloor of depth 500m or shallower Value range: -1296 - 1750 Units: km Source: https://data.aad.gov.au/metadata/records/Polar_Environmental_Data 13. Layer name: ice_cover_max Description: Ice concentration fraction, maximum on [1957-2017] time period Value range: 0 - 1 Units: unitless Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 14. Layer name: ice_cover_mean Description: Ice concentration fraction, mean on [1957-2017] time period Value range: 0 - 0.9708595 Units: unitless Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 15. Layer name: ice_cover_min Description: Ice concentration fraction, minimum on [1957-2017] time period Value range: 0 - 0.8536261 Units: unitless Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 16. Layer name: ice_cover_range Description: Ice concentration fraction, difference maximum-minimum on [1957-2017] time period Value range: 0 - 1 Units: unitless Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 17. Layer name: ice_thickness_max Description: Ice thickness, maximum on [1957-2017] time period Value range: 0 - 3.471811 Units: m Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 18. Layer name: ice_thickness_mean Description: Ice thickness, mean on [1957-2017] time period Value range: 0 - 1.614133 Units: m Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 19. Layer name: ice_thickness_min Description: Ice thickness, minimum on [1957-2017] time period Value range: 0 - 0.7602701 Units: m Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 20. Layer name: ice_thickness_range Description: Ice thickness, difference maximum-minimum on [1957-2017] time period Value range: 0 - 3.471811 Units: m Source: BioOracle accessed 24/04/2018, see Assis et al. (2018) URL: http://www.bio-oracle.org/ Citation: Assis J, Tyberghein L, Bosch S, Verbruggen H, Serrao EA and De Clerck O (2018). Bio_ORACLE v2. 0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography, 27(3), 277-284 , see also https://www.ecmwf.int/en/research/climate-reanalysis/ocean-reanalysis 21. Layer name: chla_ampli_alltime_2005_2012 Description: Chlorophyll-a concentrations obtained from MODIS satellite data. Amplitude of pixel values (difference between maximal and minimal value encountered by each pixel during all months of the period [2005-2012]) Value range: 0 - 77.15122 Units: mg/m^3 Source: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/9km/chlor_a/ URL: https://modis.gsfc.nasa.gov/data/dataprod/chlor_a.php 22. Layer name: chla_max_alltime_2005_2012 Description: Chlorophyll-a concentrations obtained from MODIS satellite data. Maximal value encountered by each pixel during all months of the period [2005-2012] Value range: 0 - 77.28562 Units: mg/m^3 Source: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/9km/chlor_a/ URL: https://modis.gsfc.nasa.gov/data/dataprod/chlor_a.php 23. Layer name: chla_mean_alltime_2005_2012 Description: Chlorophyll-a concentrations obtained from MODIS satellite data. Mean value of each pixel during all months of the period [2005-2012] Value range: 0 - 30.42691 Units: mg/m^3 Source: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/9km/chlor_a/ URL: https://modis.gsfc.nasa.gov/data/dataprod/chlor_a.php 24. Layer name: chla_min_alltime_2005_2012 Description: Chlorophyll-a concentrations obtained from MODIS satellite data. Minimal value encountered by each pixel during all months of the period [2005-2012] Value range: 0 - 29.02929 Units: mg/m^3 Source: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/9km/chlor_a/ URL: https://modis.gsfc.nasa.gov/data/dataprod/chlor_a.php 25. Layer name: chla_sd_alltime_2005_2012 Description: Chlorophyll-a concentrations obtained from MODIS satellite data. Standard deviation value of each pixel during all months of the period [2005-2012] Value range: 0 - 27.9877 Units: mg/m^3 Source: https://oceandata.sci.gsfc.nasa.gov/MODIS-Aqua/Mapped/Monthly/9km/chlor_a/ URL: https://modis.gsfc.nasa.gov/data/dataprod/chlor_a.php 26. Layer name: POC_2005_2012_ampli Description: Particulate organic carbon, model Lutz et al. (2007). Amplitude value (difference maximal and minimal value, see previous layers) all seasonal layers [2005-2012] Value range: 0 - 1.31761 Units: g/m^2/d Source: This study. Following Lutz et al. (2007) URL: https://data.aad.gov.au/metadata/records/Particulate_carbon_export_flux_layers Citation: Lutz MJ, Caldeira K, Dunbar RB and Behrenfeld MJ (2007). Seasonal rhythms of net primary production and particulate organic carbon flux to depth describe the efficiency of biological pump in the global ocean. Journal of Geophysical Research: Oceans, 112(C10). 27. Layer name: POC_2005_2012_max Description: Particulate organic carbon, model Lutz et al. (2007). Maximal value encountered on each pixel among all seasonal layers [2005-2012] Value range: 0.00332562 - 1.376601 Units: g/m^2/d Source: This study. Following Lutz et al. (2007) URL: https://data.aad.gov.au/metadata/records/Particulate_carbon_export_flux_layers Citation: Lutz MJ, Caldeira K, Dunbar RB and Behrenfeld MJ (2007). Seasonal rhythms of net primary production and particulate organic carbon flux to depth describe the efficiency of biological pump in the global ocean. Journal of Geophysical Research: Oceans, 112(C10). 28. Layer name: POC_2005_2012_mean Description: Particulate organic carbon, model Lutz et al. (2007). Mean all seasonal layers [2005-2012] Value range: 0.003184335 - 0.5031364 Units: g/m^2/d Source: This study. Following Lutz et al. (2007) URL: https://data.aad.gov.au/metadata/records/Particulate_carbon_export_flux_layers Citation: Lutz MJ, Caldeira K, Dunbar RB and Behrenfeld MJ (2007). Seasonal rhythms of net primary production and particulate organic carbon flux to depth describe the efficiency of biological pump in the global ocean. Journal of Geophysical Research: Oceans, 112(C10). 29. Layer name: POC_2005_2012_min Description: Particulate organic carbon, model Lutz et al. (2007). Minimal value encountered on each pixel among all seasonal layers [2005-2012] Value range: 0.003116508 - 0.1313119 Units: g/m^2/d Source: This study. Following Lutz et al. (2007) URL: https://data.aad.gov.au/metadata/records/Particulate_carbon_export_flux_layers Citation: Lutz MJ, Caldeira K, Dunbar RB and Behrenfeld MJ (2007). Seasonal rhythms of net primary production and particulate organic carbon flux to depth describe the efficiency of biological pump in the global ocean. Journal of Geophysical Research: Oceans, 112(C10). 30. Layer name: POC_2005_2012_sd Description: Particulate organic carbon, model Lutz et al. (2007). Standard deviation all seasonal layers [2005-2012] Value range: 3.85E-08 - 0.4417001 Units: g/m^2/d Source: This study. Following Lutz et al. (2007) URL: https://data.aad.gov.au/metadata/records/Particulate_carbon_export_flux_layers Citation: Lutz MJ, Caldeira K, Dunbar RB and Behrenfeld MJ (2007). Seasonal rhythms of net primary production and particulate organic carbon flux to depth describe the efficiency of biological pump in the global ocean. Journal of Geophysical Research: Oceans, 112(C10). 31. Layer name: seafloor_oxy_1955_2012_ampli Description: Amplitude (difference maximum-minimum) value encountered for each pixel on all month layers of seafloor oxygen concentration over [1955-2012], modified from WOCE Value range: 0.001755714 - 5.285187 Units: mL/L Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 32. Layer name: seafloor_oxy_1955_2012_max Description: Maximum value encountered for each pixel on all month layers of oxygen concentration over [1955-2012], modified from WOCE Value range: 3.059685 - 11.52433 Units: mL/L Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 33. Layer name: seafloor_oxy_1955_2012_mean Description: Mean seafloor oxygen concentration over [1955-2012] (average of all monthly layers), modified from WOCE Value range: 2.836582 - 8.858084 Units: mL/L Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 34. Layer name: seafloor_oxy_1955_2012_min Description: Minimum value encountered for each pixel on all month layers of seafloor oxygen concentration over [1955-2012], modified from WOCE Value range: 0.4315577 - 8.350794 Units: mL/L Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 35. Layer name: seafloor_oxy_1955_2012_sd Description: Standard deviation seafloor oxygen concentration over [1955-2012] (of all monthly layers), modified from WOCE Value range: 0.000427063 - 1.588707 Units: mL/L Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 36. Layer name: seafloor_sali_2005_2012_ampli Description: Amplitude (difference maximum-minimum) value encountered for each pixel on all month layers of seafloor salinity over [2005-2012], modified from WOCE Value range: 0.000801086 - 4.249901 Units: PSU Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 37. Layer name: seafloor_sali_2005_2012_max Description: Maximum value encountered for each pixel on all month layers of seafloor salinity over [2005-2012], modified from WOCE Value range: 32.90105 - 35.3997 Units: PSU Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 38. Layer name: seafloor_sali_2005_2012_mean Description: Mean seafloor salinity over [2005-2012] (average of all monthly layers), modified from WOCE Value range: 32.51107 - 35.03207 Units: PSU Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 39. Layer name: seafloor_sali_2005_2012_min Description: Minimum value encountered for each pixel on all month layers of seafloor salinity over [2005-2012], modified from WOCE Value range: 29.8904 - 34.97735 Units: PSU Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 40. Layer name: seafloor_sali_2005_2012_sd Description: Standard deviation seafloor salinity over [2005-2012] (of all monthly layers), modified from WOCE Value range: 0.000251834 - 1.36245 Units: PSU Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 41. Layer name: seafloor_temp_2005_2012_ampli Description: Amplitude (difference maximum-minimum) value encountered for each pixel on all month layers of seafloor temperature over [2005-2012], modified from WOCE Value range: 0.0086 - 8.625669 Units: degrees C Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 42. Layer name: seafloor_temp_2005_2012_max Description: Maximum value encountered for each pixel on all month layers of seafloor temperature over [2005-2012], modified from WOCE Value range: -2.021455 - 15.93171 Units: degrees C Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 43. Layer name: seafloor_temp_2005_2012_mean Description: Mean seafloor temperature over [2005-2012] (average of all monthly layers), modified from WOCE Value range: -2.085796 - 13.23161 Units: degrees C Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 44. Layer name: seafloor_temp_2005_2012_min Description: Minimum value encountered for each pixel on all month layers of seafloor temperature over [2005-2012], modified from WOCE Value range: -2.1 - 11.6431 Units: degrees C Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 45. Layer name: seafloor_temp_2005_2012_sd Description: Standard deviation seafloor temperature over [2005-2012] (of all monthly layers), modified from WOCE Value range: 0.002843571 - 2.877084 Units: degrees C Source: Derived from World Ocean Circulation Experiment 2013 URL: https://www.nodc.noaa.gov/OC5/woa13/woa13data.html 46. Layer name: extreme_event_max_chl_2005_2012_ampli Description: Amplitude (difference maximum-minimum) number of the number of extreme events calculated between 2005 and 2012 Value range: integer values 0 - 3 Units: unitless Source: derived from chlorophyll-a concentration layers 47. Layer name: extreme_event_max_chl_2005_2012_max Description: Maximum number of extreme events calculated between 2005 and 2012 Value range: integer values 0 - 5 Units: unitless Source: derived from chlorophyll-a concentration layers 48. Layer name: extreme_event_max_chl_2005_2012_mean Description: Mean of the number of extreme events calculated between 2005 and 2012 Value range: 0 - 3.875 Units: unitless Source: derived from chlorophyll-a concentration layers 49. Layer name: extreme_event_max_chl_2005_2012_min Description: Minimum number of extreme events calculated between 2005 and 2012 Value range: integer values 0 - 5 Units: unitless Source: derived from chlorophyll-a concentration layers 50. Layer name: extreme_event_min_chl_2005_2012_ampli Description: Amplitude (difference maximum-minimum) number of the number of extreme events calculated between 2005 and 2012 Value range: integer values 0 - 9 Units: unitless Source: derived from chlorophyll-a concentration layers 51. Layer name: extreme_event_min_chl_2005_2012_max Description: Maximum number of extreme events calculated between 2005 and 2012 Value range: integer values 0 - 11 Units: unitless Source: derived from chlorophyll-a concentration layers 52. Layer name: extreme_event_min_chl_2005_2012_mean Description: Mean of the number of extreme events calculated between 2005 and 2012 Value range: 0 - 11 Units: unitless Source: derived from chlorophyll-a concentration layers 53. Layer name: extreme_event_min_chl_2005_2012_min Description: Minimum number of extreme events calculated between 2005 and 2012 Value range: integer values 0 - 11 Units: unitless Source: derived from chlorophyll-a concentration layers 54. Layer name: extreme_event_min_oxy_1955_2012_nb Description: Number of extreme events (minimal seafloor oxygen concentration records) that happened between January and December of the year Value range: integer values 0 - 12 Units: per year Source: derived from seafloor oxygen concentration layers 55. Layer name: extreme_event_max_sali_2005_2012_nb Description: Number of extreme events (maximal seafloor salinity records) that happened between January and December of the year Value range: integer values 0 - 12 Units: per year Source: derived from seafloor salinity layers 56. Layer name: extreme_event_min_sali_2005_2012_nb Description: Number of extreme events (minimal seafloor salinity records) that happened between January and December of the year Value range: integer values 0 - 12 Units: per year Source: derived from seafloor salinity layers 57. Layer name: extreme_event_max_temp_2005_2012_nb Description: Number of extreme events (maximal seafloor temperature records) that happened between January and December of the year Value range: integer values 0 - 12 Units: per year Source: derived from seafloor temperature layers 58. Layer name: extreme_event_min_temp_2005_2012_nb Description: Number of extreme events (minimal seafloor temperature records) that happened between January and December of the year Value range: integer values 0 - 12 Units: per year Source: derived from seafloor temperature layers proprietary er2_aerial_photos_722_1 SAFARI 2000 ER-2 Color-IR Aerial Photography, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-13 2000-09-25 15, -30, 43, -12 https://cmr.earthdata.nasa.gov/search/concepts/C2788402747-ORNL_CLOUD.umm_json Aerial photography from the NASA ER-2 high-altitude aircraft was collected to provide detailed and spatially extensive documentation over parts of the SAFARI study area. The ER-2 aerial photography consists of 3,046 color-infrared (IR) transparencies collected during the SAFARI 2000 Dry Season Aircraft Campaign in August and September of 2000. ORNL DAAC has archived scanned subsets of the ER-2 aerial photography. In addition, 515 image frames have been scanned from copies of the original level-0 ER-2 aerial photography by the University of the Witwatersrand (Wits), in Pretoria, South Africa. ORNL DAAC has archived subsets of the available imagery from ARC and Wits. proprietary +er2edop_1 CAMEX-3 ER-2 Doppler Radar (EDOP) GHRC_DAAC STAC Catalog 1998-08-08 1998-09-27 -89.971, 13.976, -63.22, 34.588 https://cmr.earthdata.nasa.gov/search/concepts/C1995565983-GHRC_DAAC.umm_json The CAMEX-3 ER-2 Doppler Radar (EDOP) dataset is a browse-only dataset that consists of plotted reflectivity and Doppler velocity data collected by the ER-2 Doppler Radar (EDOP) during the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying the various aspects of tropical cyclones in the region. EDOP was mounted onboard the NASA ER-2 high-altitude research aircraft from which it obtained vertical profiles of convection within tropical cyclones. The daily browse files are available from August 5 through September 27, 1998 in GIF format. proprietary er2flog_501_1 BOREAS ER2 Aircraft Flight Logs ORNL_CLOUD STAC Catalog 1994-04-19 1996-08-14 -106.8, 43.92, -97.54, 56.13 https://cmr.earthdata.nasa.gov/search/concepts/C2761665819-ORNL_CLOUD.umm_json During 1994 and 1996, digital and analog imaging instruments mounted on the NASA ER2 aircraft collected various remotely sensed data from the atmosphere and earth's surface as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) Intensive Field Campaigns (IFC). proprietary +er2lip_1 CAMEX-3 LIGHTNING INSTRUMENT PACKAGE (LIP) V1 GHRC_DAAC STAC Catalog 1998-08-08 1998-09-27 -89.971, 13.9761, -63.22, 34.5879 https://cmr.earthdata.nasa.gov/search/concepts/C1979111865-GHRC_DAAC.umm_json The CAMEX-3 Lightning Instrument Package (LIP) dataset contains electrical field measurements of lightning within storms studied during the Convection And Moisture EXperiment 3 (CAMEX-3). The LIP was flown aboard the NASA ER-2 aircraft, enabling vector components of the electric field (i.e, Ex, Ey, Ez) to be readily obtained, thus greatly improving knowledge of the electrical structure within storms overflown. Measurements within this dataset include field mill data, conductivity probe temperatures from two probes, and navigation data. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. Storm electric currents can be derived using the electric field and air conductivity measurements. proprietary +er2mams_1 CAMEX-3 MULTISPECTRAL ATMOSPHERIC MAPPING SENSOR (MAMS) V1 GHRC_DAAC STAC Catalog 1998-08-13 1998-09-27 -89.8519, 13.8709, -63.1191, 34.6333 https://cmr.earthdata.nasa.gov/search/concepts/C1979112118-GHRC_DAAC.umm_json The CAMEX-3 Multispectral Atmospheric Mapping Sensor (MAMS) dataset was collected by the Multispectral Atmospheric Mapping Sensor (MAMS), which is a multispectral scanner which measures reflected radiation from the Earth's surface and clouds in eight visible/near-infrared bands, and thermal emission from the Earth' surface, clouds, and atmospheric constituents (primarily water vapor) in four infrared bands. The 5.0 mRa aperture of MAMS produces an instantaneous field-of-view (IFOV) resolution of 100 m at nadir from the nominal ER-2 altitude of 20 km. The width of the entire cross path field-of-view scanned by the sensor is 37 km, thereby providing detailed resolution of atmospheric and surface features across the swath width and along the aircraft flight track. For clouds and thunderstorm features the IFOV decreases with increasing cloud height by a factor of (Z-20)/20, where Z is the cloud height in kilometers. proprietary +er2mir_1 CAMEX-3 ER-2 Millimeter-wave Imaging Radiometer (MIR) GHRC_DAAC STAC Catalog 1998-08-08 1998-09-08 -85.5, 23.12, -70.053, 33.937 https://cmr.earthdata.nasa.gov/search/concepts/C1979112308-GHRC_DAAC.umm_json The CAMEX-3 ER-2 Millimeter-wave Imaging Radiometer (MIR) dataset is a browse-only dataset containing plots of brightness temperature measurements collected by the Millimeter-wave Imaging Radiometer (MIR) in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of tropical cyclones in the region. During CAMEX-3, MIR operated onboard the NASA ER-2 high-altitude research aircraft, collecting brightness temperature measurements of water vapor, clouds, precipitation, and other atmospheric features. The MIR browse image files are available from August 8 through September 8, 1998 in GIF format. proprietary +er2mts_1 CAMEX-3 ER-2 NAST-MTS V1 GHRC_DAAC STAC Catalog 1998-08-04 1998-09-21 -105, 10, -50, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979112518-GHRC_DAAC.umm_json The CAMEX-3 ER-2 NPOESS Aircraft Sounder Testbed - Microwave Temperature Sounder (NAST-MTS) dataset contains navigation records and microwave spectral radiance measurements taken of tropical cyclones and hurricanes during the third Convection and Moisture Experiment (CAMEX-3). The NAST-MTS contains two microwave radiometer systems covering the spectral ranges of 50 to 56 GHz and provides atmospheric temperature profiles from the flight altitude to the surface. proprietary +er2nasti_1 CAMEX-3 NAST-I RADIANCE PRODUCTS V1 GHRC_DAAC STAC Catalog 1998-08-13 1998-09-27 -94.3327, 13.5693, -62.3263, 36.0668 https://cmr.earthdata.nasa.gov/search/concepts/C1979112625-GHRC_DAAC.umm_json The National Polar-orbiting Operational Environmental Satellite System (NPOESS) Atmospheric Sounding Testbed (NAST) is a suite of airborne infrared and microwave spectrometers, being developed for the Integrated Program Office (IPO), that will be flown on the NASA high altitude ER-2 aircraft as part of the risk reduction effort for NPOESS. In addition to their stand-alone scientific value, data from these airborne instruments will be used to simulate possible satellite-based radiance measurements, therefore enabling experimental validation of instrument system specifications and data processing techniques for future advanced atmospheric remote sensors (e.g., the proposed sounder component for NPOESS). proprietary +er2nav_1 CAMEX-3 ER-2 NAVIGATION V1 GHRC_DAAC STAC Catalog 1998-08-08 1998-09-27 -89.971, 13.976, -63.22, 34.588 https://cmr.earthdata.nasa.gov/search/concepts/C1979112721-GHRC_DAAC.umm_json The CAMEX-3 ER-2 Navigation data files contain information recorded by on board navigation and data collection systems. In addition to typical navigation data (e.g. date, time, lat/lon and altitude) it contains outside meteorological parameters such as wind speed, wind direction, and temperature. These data are available in ASCII text file format and Graphics Interchange Format, where each file contains data recorded at one second intervals for each flight. proprietary +er2navimpacts_1 ER-2 Navigation Data IMPACTS GHRC_DAAC STAC Catalog 2020-01-15 2023-03-02 -118.284, 26.907, -64.894, 48.658 https://cmr.earthdata.nasa.gov/search/concepts/C1995566252-GHRC_DAAC.umm_json The NASA ER-2 Navigation Data IMPACTS dataset contains information recorded by the onboard navigation and data collection systems of the NASA ER-2 high-altitude research aircraft. In addition to typical navigation data (e.g., date, time, latitude/longitude, and altitude) it also contains outside meteorological parameters such as wind speed, wind direction, and temperature. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. The IMPACTS navigation dataset files are available from January 15, 2020, through March 2, 2023, in ASCII-ict format. proprietary erbe_albedo_monthly_xdeg_957_1 ISLSCP II Earth Radiation Budget Experiment (ERBE) Monthly Albedo, 1986-1990 ORNL_CLOUD STAC Catalog 1986-01-01 1990-02-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784882228-ORNL_CLOUD.umm_json This data set, ISLSCP II Earth Radiation Budget Experiment (ERBE) Monthly Albedo, 1986-1990, contains both the original ERBE albedo data at 2.5 degree spatial resolution, and the International Land Surface Climatology Project Initative II (ISLSCP Initiative II) albedo product re-gridded to 1 degree resolution. The goals of the ERBE were (1) to understand the radiation balance between the Sun, Earth, atmosphere, and space and (2) to establish an accurate, long-term baseline data set for detection of climate changes. Earth Radiation Budget (ERB) data are fundamental to the development of realistic climate models and to the understanding of natural and anthropogenic perturbations of the climate system. As part of ERBE, measurements of broadband shortwave radiation reflected from the Earth-atmosphere system were obtained, from which top of atmosphere albedo values were calculated. In addition, values from scenes determined to be free of clouds were analyzed separately and clear-sky albedos were derived. For this study, only the clear-sky albedos are included. The ERBE data sets for ISLSCP Initiative II contain global, top of atmosphere, clear sky albedo data from January 1986 to February 1990. proprietary escarpment-evolution-drives-the-diversification-of-the-madagascar-flora_1.0 Escarpment evolution drives the diversification of the Madagascar flora ENVIDAT STAC Catalog 2023-01-01 2023-01-01 42.3632812, -26.6684045, 51.7675781, -11.3522326 https://cmr.earthdata.nasa.gov/search/concepts/C3226082034-ENVIDAT.umm_json Although much of the endemic biodiversity of Madagascar can be attributed to its isolation as an island in the Indian Ocean, the high rates of speciation throughout its geologic history suggest an influence of local-scale landscape dynamics. The topographic evolution of Madagascar is dominated by the formation of high-relief continental rift escarpment and we argue that the erosion and landward retreat of this topography creates habitat heterogeneity that has served as a speciation pump for the island. The highest plant richness is found along the escarpment and is characterized by steady diversification rates over the last 45 Ma. Modeled landscape evolution by escarpment retreat demonstrates opportunities for allopatric speciation by transient habitat fragmentation through multiple mechanisms, including catchment expansion, isolation of highland remnants and formation of topographic and river barriers The segregation of floral phylogenetic turnover parallel to the escarpment is consistent with these mechanisms and indicates the importance of erosion-driven landscape dynamics on speciation. proprietary espon-digiplan_1.0 ESPON Digiplan ENVIDAT STAC Catalog 2021-01-01 2021-01-01 6.5478516, 46.0244304, 14.3701172, 54.6331536 https://cmr.earthdata.nasa.gov/search/concepts/C2789815052-ENVIDAT.umm_json The dataset as a part of the international project ESPON Digiplan. The aim of this international project is to assess the extent, organisation and financing of digitisation of plan data as well as the use of these data in ESPON member countries. As a part of the in-depth case study, 7 virtual expert interviews in Switzerland and 5 virtual expert interviews in Germany were conducted with experts on the topic of digitisation of plan data. The documents contain the transcripts of the interviews. The transcripts aim to capture the content of the interviews, which is why voice raising and lowering, as well as pauses in the interview, were not specifically recorded. The interviews were conducted in German, therefore the transcripts are also in German. proprietary @@ -12837,10 +11519,12 @@ example-geodata-for-demonstrating-geospatial-preprocessing-at-foss4g2019_1.0 Sam experimental-rockfall-dataset-tschamut-grisons-switzerland_1.0 Induced Rockfall Dataset (Small Rock Experimental Campaign), Tschamut, Grisons, Switzerland ENVIDAT STAC Catalog 2018-01-01 2018-01-01 8.7007642, 46.6518076, 8.7037575, 46.6540464 https://cmr.earthdata.nasa.gov/search/concepts/C2789815165-ENVIDAT.umm_json # Dataset of an experimental campaign of induced rockfall in Tschamut, Grisons, Switzerland. The data archive contains site specific geographical data such as DEM and orthophoto as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 30–80 kg of mass. Additionally available are all the StoneNode data streams for rocks equipped with a sensor. The data set consists of * Deposition points from two series (wet (27/10/2016) and frozen (08/12/2016) ground) * Digital Elevation Model (grid resolution 2 m) obtained via UAV * Orthophoto (5 cm resolution) obtained via UAV * Digitized rock point clouds (.pts input files for RAMMS::ROCKFALL) * StoneNode v1.0 raw data stream for equipped rocks. Further information is found in * __A. Caviezel__ et al., _Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments_, IEEE Transactions on Instrumentation and Measurement, 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/ * __ P. Niklaus__ et al., _StoneNode: A low-power sensor device for induced rockfall experiments_, 2017 IEEE Sensors Applications Symposium (SAS), 2017, 1-6, http://ieeexplore.ieee.org/document/7894081/ proprietary experimental-rockfall-trilogy-of-surava_1.0 Experimental rockfall trilogy of Surava ENVIDAT STAC Catalog 2021-01-01 2021-01-01 9.5958281, 46.6544588, 9.61411, 46.6624116 https://cmr.earthdata.nasa.gov/search/concepts/C2789815192-ENVIDAT.umm_json We performed an experimental trilogy of induced rockfall experiments in a spruce stand in Surava (CH) within (i) the original forest, (ii) after a logging job, resulting in lying deadwood and (iii) the cleared, deadwwod-free state. The three experimental set-ups allow quantifying the deadwood effect on overall rockfall risk for the same forest (slope, species) in three different conditions. proprietary explorer_0 Measurements made near the Cayman Islands between 2001 and 2003 OB_DAAC STAC Catalog 2001-07-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360234-OB_DAAC.umm_json Measurements made in the Caribbean Sea near the Cayman Islands between 2001 and 2003. proprietary +exrad3dimpacts_1 ER-2 X-band Radar (EXRAD) 3D Winds IMPACTS GHRC_DAAC STAC Catalog 2020-01-25 2020-02-07 -90.885, 33.2806, -71.5199, 44.726 https://cmr.earthdata.nasa.gov/search/concepts/C2645112180-GHRC_DAAC.umm_json The ER-2 X-band Radar (EXRAD) 3D Winds IMPACTS dataset consists of horizontal wind components, uncertainties in the horizontal wind components, and radar reflectivity collected by the EXRAD instrument onboard the NASA ER-2 aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023, No deployments occurred in 2021 due to COVID-19). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The EXRAD 3D Winds IMPACTS dataset files are available from January 25 through February 7, 2020 in netCDF-3 format. proprietary +exradepoch_1 ER-2 X-Band Doppler Radar (EXRAD) EPOCH GHRC_DAAC STAC Catalog 2017-08-09 2017-08-31 -124.717, 16.603, -83.6115, 34.9083 https://cmr.earthdata.nasa.gov/search/concepts/C2132312390-GHRC_DAAC.umm_json The ER-2 X-Band Doppler Radar (EXRAD) EPOCH dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the AV-6 Global Hawk Unmanned Aerial Vehicle research aircraft, though traditionally this instrument is flown on the NASA ER-2 aircraft. These data were gathered during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The EXRAD EPOCH dataset files are available from August 9, 2017 through August 31, 2017 in HDF-5 format. proprietary +exradimpacts_1 ER-2 X-Band Doppler Radar (EXRAD) IMPACTS GHRC_DAAC STAC Catalog 2020-01-25 2023-03-02 -117.635, 31.073, -67.286, 48.658 https://cmr.earthdata.nasa.gov/search/concepts/C1997744595-GHRC_DAAC.umm_json The ER-2 X-band Radar (EXRAD) IMPACTS dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The EXRAD IMPACTS dataset files are available from January 25, 2020, through March 2, 2023, in HDF-5 format. proprietary f0580e34da524770b0a5d43c033b33dc_NA ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 05.2 FEDEO STAC Catalog 1978-11-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142979-FEDEO.umm_json The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. ACTIVE and COMBINED products have also been created.The v05.2 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.The data set should be cited using all three of the following references:1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717â739, https://doi.org/10.5194/essd-11-717-20192. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.0013. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070 proprietary f17f146a31b14dfd960cde0874236ee5_NA ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration Climate Data Record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.1 FEDEO STAC Catalog 2002-05-31 2017-05-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142738-FEDEO.umm_json The dataset provides a Climate Data Record of Sea Ice Concentration (SIC) for the polar regions, derived from medium resolution passive microwave satellite data from the Advanced Microwave Scanning Radiometer series (AMSR-E and AMSR-2). It is processed with an algorithm using medium resolution (19 GHz and 37 GHz) imaging channels, and has been gridded at 25km grid spacing. This version of the product is v2.1, which is an extension of the v2.0 Sea_Ice_cci data and has identical data until 2015-12-25.This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. The EUMETSAT OSI SAF contributed with access and re-use of part of its processing software and facilities.A SIC CDR at 50 km grid spacing is also available. proprietary f1ab07b5292f4813bd3090b51d270aa8_NA ESA Cloud Climate Change Initiative (Cloud_cci): MODIS-TERRA monthly gridded cloud properties, version 2.0 FEDEO STAC Catalog 2000-02-01 2014-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143056-FEDEO.umm_json The Cloud_cci MODIS-Terra dataset was generated within the Cloud_cci project (http://www.esa-cloud-cci.org) which was funded by the European Space Agency (ESA) as part of the ESA Climate Change Initiative (CCI) programme (Contract No.: 4000109870/13/I-NB). This dataset is one of the 6 datasets generated in Cloud_cci; all of them being based on passive-imager satellite measurements. This dataset is based on MODIS (onboard Terra) measurements and contains a variety of cloud properties which were derived employing the Community Cloud retrieval for Climate (CC4CL) retrieval system. The core cloud properties contained in the Cloud_cci MODIS-Terra dataset are cloud mask/fraction, cloud phase, cloud top pressure/height/temperature, cloud optical thickness, cloud effective radius and cloud liquid/ice water path. Spectral cloud albedo is also included as experimental product. Level-3C product files contain monthly averages and histograms of the mentioned cloud properties together with propagated uncertainty measures. proprietary -f1b95e1fcf2df596f19f033fd766fa15b8f3ba5d_Not provided 3 year daily average solar exposure map Mali 3Km GRAS September 2008-2011 SCIOPS STAC Catalog 1970-01-01 -15, 8, 5, 28 https://cmr.earthdata.nasa.gov/search/concepts/C1214603974-SCIOPS.umm_json This map contains the 3 year (2008-2011) daily average solar exposure (in Kmh/m2/day) with a resolution of 3Km for Mali for September. proprietary f30495d4425f46c489765a2f84dd6862_NA ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global remote sensing reflectance gridded on a sinusoidal projection, Version 5.0 FEDEO STAC Catalog 1997-09-04 2020-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142951-FEDEO.umm_json The ESA Ocean Colour CCI project has produced global, level 3, binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.This dataset contains the Version 5.0 Remote Sensing Reflectance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites) covering the period 1997 - 2020. Values for remote sensing reflectance at the sea surface are provided for the standard SeaWiFS wavelengths (412, 443, 490, 510, 555, 670nm) with pixel-by-pixel uncertainty estimates for each wavelength. These are merged products based on SeaWiFS, MERIS and Aqua-MODIS data. Note, these data are also contained within the 'All Products' dataset. This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection). proprietary f31e8e988c4144bebe13892b53d08e42_NA ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Optical ice velocity of the 79Fjord Glacier between 2017-06-25 and 2017-08-10, generated using Sentinel-2 data, v1.1 FEDEO STAC Catalog 2017-06-24 2017-08-10 -80, 60, -10, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142547-FEDEO.umm_json This dataset contains optical ice velocity time series and seasonal product of the 79Fjord Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-25 and 2017-08-10. It has been produced as part of the ESA Greenland Ice Sheet CCI project.The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid. The data have been produced by S[&]T Norway proprietary f3865cc7-d9ce-43e5-802c-f115bcf8c67e_NA IRS-P6 Resourcesat-1 - Multispectral Images (LISS-IV) - Europe, Multispectral Mode FEDEO STAC Catalog 2004-01-29 2009-01-31 -25, 30, 45, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2207458036-FEDEO.umm_json Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. With 5 m resolution and products covering areas up to 23.5 km x 23.5 km IRS LISS-IV multispectral data provide a cost effective solution for mapping tasks up to 1:25'000 scale. proprietary @@ -12991,13 +11675,13 @@ fife_sur_refl_se5_unl_82_1 SE-590 Ground Data: UNL (FIFE) ORNL_CLOUD STAC Catalo fife_sur_refl_soilrefl_114_1 Soil Reflectance Data (FIFE) ORNL_CLOUD STAC Catalog 1989-10-31 1989-10-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2980655792-ORNL_CLOUD.umm_json Spectral reflectance of soils, Atlas of Soil Reflectance Properties (Stoner '80) proprietary fife_sur_refl_unl_long_49_1 Longwave Radiation Data: UNL (FIFE) ORNL_CLOUD STAC Catalog 1987-06-03 1989-08-11 -96.59, 38.98, -96.47, 39.12 https://cmr.earthdata.nasa.gov/search/concepts/C2980474531-ORNL_CLOUD.umm_json Average incoming longwave radiation measured by University of Nebraska proprietary fife_sur_refl_unl_surf_123_1 Surface Radiance Data: UNL (FIFE) ORNL_CLOUD STAC Catalog 1987-05-30 1989-08-11 -96.59, 38.98, -96.47, 39.12 https://cmr.earthdata.nasa.gov/search/concepts/C2980692342-ORNL_CLOUD.umm_json Canopy IR & air temperature, albedo, incoming and reflected shortwave, humidity proprietary -finnarp_aerosols_Not provided Aerosol measurements at ABOA / FINNARP 2009 SCIOPS STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214596474-SCIOPS.umm_json The data set contains: - neutral aerosol size distribution from 10 to 500 nm (8.12.2009-23.1.2010) with 12 min resolution and 25 separate size bins - charged aerosol size distribution from 0.8 to 40 nm (5.12.2009-23.1.2010) with 12 min resolution and 28 separate size bins - tropospheric ozone concentration (5.12.2009-23.1.2010), 1 min averages, unit ppb (parts per billion) - quartz filter samples for later chemical analysis (8.12.2009-23.1.2010), each filter was collecting the sample 2-3 days (filters were changed 3 times a week) proprietary fire-randomizer-first-release_1.0 fire-randomizer: first release ENVIDAT STAC Catalog 2016-01-01 2016-01-01 8.4545978, 47.3606372, 8.4545978, 47.3606372 https://cmr.earthdata.nasa.gov/search/concepts/C3226082141-ENVIDAT.umm_json Tool to assess fire selectivity for topographic (e.g. alitiude, slope, aspect) or land use (forest or vegetation type, distance to infrastructures) categories with Monte Carlo simulations. proprietary fire_emissions_724_1 SAFARI 2000 Fire Emission Data, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-14 2000-09-14 12, -27, 36, -14 https://cmr.earthdata.nasa.gov/search/concepts/C2788974415-ORNL_CLOUD.umm_json As part of the SAFARI 2000), the University of Montana participated in both ground-based and airborne campaigns during the southern African dry season of 2000 to measure trace gas emissions from biofuel production and use and savanna fires, respectively. During the airborne campaign, stable and reactive trace gases were measured over southern Africa with an airborne Fourier transform infrared spectroscopy (AFTIR) onboard the University of Washington Convair-580 research aircraft in August-September of 2000. The measurements included vertical profiles of CO2, CO, H2O, and CH4 up to 5.5 km on 6 occasions above instrumented ground sites and below the TERRA satellite and ER-2 high-flying research aircraft as well as trace gas emissions from ten African savanna fires. These measurements are the first broad characterization of the most abundant trace gases in nascent smoke from African savanna fires (i.e., including oxygen- and nitrogen-containing species). proprietary fire_emissions_v4_R1_1293_4.1 Global Fire Emissions Database, Version 4.1 (GFEDv4) ORNL_CLOUD STAC Catalog 1995-06-01 2016-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763353619-ORNL_CLOUD.umm_json This dataset provides global estimates of monthly burned area, monthly emissions and fractional contributions of different fire types, daily or 3-hourly fields to scale the monthly emissions to higher temporal resolutions, and data for monthly biosphere fluxes. The data are at 0.25-degree latitude by 0.25-degree longitude spatial resolution and are available from June 1995 through 2016, depending on the dataset. Emissions data are available for carbon (C), dry matter (DM), carbon dioxide (CO2), carbon monoxide (CO), methane (CH4), hydrogen (H2), nitrous oxide (N2O), nitrogen oxides (NOx), non-methane hydrocarbons (NMHC), organic carbon (OC), black carbon (BC), particulate matter less than 2.5 microns (PM2.5), total particulate matter (TPM), and sulfur dioxide (SO2) among others. These data are yearly totals by region, globally, and by fire source for each region. proprietary fisher_sat_1 Fisher Massif Satellite Image Map 1:100 000 AU_AADC STAC Catalog 1992-07-01 1992-07-31 66, -72, 68, -71 https://cmr.earthdata.nasa.gov/search/concepts/C1214308554-AU_AADC.umm_json Satellite image map of Fisher Massif, Mac. Robertson Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1992. The map is at a scale of 1:100000, and was produced from Landsat TM scenes (WRS 128-111, 129-110). It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary flor_fna_Stillwl_1 Flora and fauna survey of the Stillwell Hills, 1996/97 - GIS data AU_AADC STAC Catalog 1996-12-25 1997-01-30 59.3, -67.435, 59.6, -67.4 https://cmr.earthdata.nasa.gov/search/concepts/C1214308555-AU_AADC.umm_json The broadscale distribution of flora (lichens, mosses, non-marine algae)and fauna (penguins, flying birds, seals)in the Stillwell Hills was mapped using GPS technology. Samples of flora were collected for taxonomic identification. Data were recorded and catalogued in shapefiles. proprietary flowering-plants-angiospermae-in-urban-green-areas-in-five-european-cities_1.0 Flowering Plants (Angiospermae) in Urban Green Areas in five European Cities ENVIDAT STAC Catalog 2021-01-01 2021-01-01 1.6699219, 46.5588603, 27.5097656, 59.7120972 https://cmr.earthdata.nasa.gov/search/concepts/C2789815113-ENVIDAT.umm_json Data of a survey of flowering plants in 80 sites in five European cities and urban agglomerations (Antwerp, Belgium; greater Paris, France; Poznan, Poland; Tartu, Estonia; and Zurich, Switzerland) sampled between April and July 2018. proprietary +fltrepepoch_1 Flight Reports EPOCH GHRC_DAAC STAC Catalog 2017-07-27 2017-08-31 -130, 10, -80, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2175817241-GHRC_DAAC.umm_json The Flight Reports EPOCH dataset consists of flight number, purpose of flight, and flight hours logged during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The mission reports are available from July 27, 2017 through August 31, 2017 in PDF format. proprietary flu-a-bh_1.0 Processed permafrost borehole data (2394 m asl), Fluelapass A, Switzerland ENVIDAT STAC Catalog 2016-01-01 2016-01-01 9.9451, 46.7479, 9.9451, 46.7479 https://cmr.earthdata.nasa.gov/search/concepts/C2789815125-ENVIDAT.umm_json Processed ground temperature measurements at the Fluelapass permafrost borehole A (FLU_0102) in canton Graubunden, Switzerland. The borehole is located at 2394 m asl on a moderate (26°) North-east slope (45°). The surface material is talus and borehole depth is 23 m. Thermistors used YSI 44006. Year of drilling 2002. This borehole is part of the Swiss Permafrost network, PERMOS (www.permos.ch). Contact phillips@slf.ch for details of processing applied. proprietary fluxnet_point_1029_1 ISLSCP II Carbon Dioxide Flux at Harvard Forest and Northern BOREAS Sites ORNL_CLOUD STAC Catalog 1992-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785312311-ORNL_CLOUD.umm_json This International Satellite Land Surface Climatology Project (ISLSCP II) data set, ISLSCP II Carbon Dioxide Flux at Harvard Forest and Northern BOREAS Sites, contains gapp-filled flux and meterological data for half-hourly, daily, weekly, monthly, and annual time intervals presented for each site and year. The 1992-1995 Harvard Forest, MA site, and the 1994-95 Old Black Spruce, Alberta, Canada site are members of the FLUXNET global network of micrometeorological towers that use eddy covariance methods to measure the excahanges of carbon dioxide (CO2), water vapor, and energy between terrestrial ecosystem and atmosphere. proprietary foraging_trip_duration_BI_1 Adelie penguin foraging trip duration, Bechervaise Island, Mawson AU_AADC STAC Catalog 1991-10-01 2005-02-01 62.8055, -67.5916, 62.825, -67.5861 https://cmr.earthdata.nasa.gov/search/concepts/C1214308557-AU_AADC.umm_json Adelie penguin foraging trip duration records for Bechervaise Island, Mawson since 1991-92. Data include average male and female foraging trip durations for both the guard and creche stages of the breeding season. Data based on records of tagged birds crossing the APMS for in and out crossings. Durations determined from difference between out and in crossings in conjunction with nest census records. Data included only for birds which were known to be foraging for a live chick. This work was completed as part of ASAC Project 2205, Adelie penguin research and monitoring in support of the CCAMLR Ecosystem Monitoring Project. The fields in this dataset are: Year trip duration (hours) Mean , standard error, count and standard deviation for male and female foraging trips during guard and creche stages of the breeding season. proprietary @@ -13065,6 +11749,7 @@ generalised-stand-descriptions-within-the-swiss-nfi_1.0 Generalised stand descri geocoord_556_1 BOREAS Site and Area Geographic Coordinate Information ORNL_CLOUD STAC Catalog 1992-01-01 1997-12-31 -111, 49, -88, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2808093396-ORNL_CLOUD.umm_json Geographic coordinate and other site information from several sources throughout the experiment period. The final set of information is organized into two data sets that provide geographic coordinate and site characteristic information for single sites and corner coordinates for standard geographic areas. proprietary geoecology_R1_656_1 Geoecology: County-Level Environmental Data for the United States, 1941-1981 ORNL_CLOUD STAC Catalog 1941-01-01 1981-12-31 -124.76, 24.5, -66.95, 49.38 https://cmr.earthdata.nasa.gov/search/concepts/C2761762895-ORNL_CLOUD.umm_json The Geoecology database is a compilation of environmental data for the period 1941 to 1981. The Geoecology database contains selected data on terrain and soils, water resources, forestry, vegetation, agriculture, land use, wildlife, air quality, climate, natural areas, and endangered species. Data on selected human population characteristics are also included to complement the environmental files. Data represent the conterminous United States at the county level. These historical data are provided as a source of 1970s baseline environmental conditions for the United States. proprietary geomorphology_australasian_seafloor_1 Geomorphology Map of the Australasian Seafloor AU_AADC STAC Catalog 2008-01-01 2011-12-31 78.1651, -68.6815, -99.8011, 23.9811 https://cmr.earthdata.nasa.gov/search/concepts/C1214313437-AU_AADC.umm_json "A geomorphology map of the Australasian seafloor was created as a Geographic Information System layer for the study described in Torres, Leigh G., et al. ""From exploitation to conservation: habitat models using whaling data predict distribution patterns and threat exposure of an endangered whale."" Diversity and Distributions 19.9 (2013): 1138-1152. The geomorphology map was generated using parameters derived from the General Bathymetric Chart of the World (GEBCO 2008, http://www.gebco.net/), with 30 arc-second grid resolution. Geomorphology features were delineated manually with a consistent spatial resolution. Each feature was assigned a primary attribute of depth zone and a secondary attribute of morphological feature. The following feature classes are defined: shelf, slope, rise, plain, valley, trench, trough, basin, hills(s), mountains(s), ridges(s), plateau, seamount. Further information (methods, definitions and an illustration of the geomorphology map) is provided in Appendix S2 of the paper which is available for download (see related URLs)." proprietary +gfscpex_1 Global Forecast System (GFS) CPEX GHRC_DAAC STAC Catalog 2017-05-24 2017-07-20 -100, 5, -45, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2611060678-GHRC_DAAC.umm_json The Global Forecast System (GFS) CPEX dataset includes model data simulated by the Global Forecast System (GFS) model for the Convective Process Experiment (CPEX) field campaign. The NASA Convective Processes Experiment (CPEX) aircraft field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 24, 2017 through July 20, 2017 and are available in netCDF-3 format. proprietary gghydro_676_1 LBA Regional Hydrographic Data, 1-Degree, Release 2.2 (Cogley) ORNL_CLOUD STAC Catalog 1970-01-01 1990-01-01 -85, -25, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2797377328-ORNL_CLOUD.umm_json This data set is a subset of Cogley's 1998 global hydrographic data set (GGHYDRO, Release 2.2). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The subset is organized into 19 files containing terrain type, stream frequency counts, major drainage basins, and annual water runoff for the LBA study area. The data are presented at a spatial resolution of 1-degree latitude by 1-degree longitude in ASCII GRID file format. proprietary ghcn_631_1 SAFARI 2000 Global Historical Climatology Network, V. 1, 1874-1990 ORNL_CLOUD STAC Catalog 1874-07-01 1990-12-31 -5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788344615-ORNL_CLOUD.umm_json This data set consists of a southern African subset of the Global Historical Climatology Network (GHCN) Version 1 database. All stations with the following bounding coordinates are included in this subset: 5W - 60E and 5N - 35S. There are three files available, one each for precipitation, temperature, and pressure data. Within this subset the oldest data date from 1874 and the most recent from 1990. proprietary gillock_isl_sat_1 Gillock Island Satellite Image Map 1:100 000 AU_AADC STAC Catalog 1993-11-01 1993-11-30 72, -71, 73, -70 https://cmr.earthdata.nasa.gov/search/concepts/C1214308592-AU_AADC.umm_json Satellite image map of Gillock Island, Mac. Robertson Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1993. The map is at a scale of 1:100000, and was produced from Landsat TM scenes (WRS 128-109, 128-110, 127-109, 127-110). It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary @@ -13116,11 +11801,14 @@ glacio_data_report_1983_casey_1 Glaciology Data Report, Casey 1983 AU_AADC STAC glacio_data_report_1986_casey_1 Glaciology Data Report, Casey 1986 AU_AADC STAC Catalog 1986-01-01 1986-12-01 110, -69, 115, -65 https://cmr.earthdata.nasa.gov/search/concepts/C1214308600-AU_AADC.umm_json A report of the data collected from the 1986 Glaciology program at Casey. Includes measurements of ice movement, accumulation, snow temperature, gravity, magnetic, weather data, surface density and hardness, and a summary of all known measurements along the A, B and Undulation Lines on Law Dome. These documents have been archived in the records store at the Australian Antarctic Division. proprietary glide-snow-avalanche-activity-on-dorfberg-davos_1.0 Glide-snow avalanche activity on Dorfberg, Davos, Switzerland ENVIDAT STAC Catalog 2023-01-01 2023-01-01 9.8270988, 46.8077793, 9.8497581, 46.8265749 https://cmr.earthdata.nasa.gov/search/concepts/C3226082548-ENVIDAT.umm_json This dataset includes the processed data of the glide-snow avalanche activity and dynamics on Dorfberg (Davos, Switzerland) covering seasons 2008/09 to 2021/22. This dataset was described in the research article: Fees, A., van Herwijnen A., Altenbach, M., Lombardo, M., Schweizer, J.: Glide-snow avalanche characteristics at different time-scales extracted from time-lapse photography, Annals of Glaciology, 91 We extracted the dynamics of opening glide-cracks and the glide-snow avalanche activity from time-lapse photographs. Glide-snow avalanches were separated into surface and interface events using the liquid water content which was simulated with SNOWPACK at 10 virtual stations on Dorfberg. proprietary glider_0 Glider measurements near Tampa, FL OB_DAAC STAC Catalog 2009-02-06 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360244-OB_DAAC.umm_json Measurements made near Tampa along the Florida Gulf Coast to calibrate and validate glider instrumentation between 2009 and 2011. proprietary +glmcierra_1 Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA) GHRC_DAAC STAC Catalog 2017-01-12 2023-03-31 -180, -57.312, 180, 57.267 https://cmr.earthdata.nasa.gov/search/concepts/C3160666934-GHRC_DAAC.umm_json The Geostationary Lightning Mapper (GLM) Cluster Integrity, Exception Resolution, and Reclustering Algorithm (CIERRA) dataset consists of a hierarchy of earth-located lightning radiant energy measures including events, groups, series, flashes, and areas. The GLM CIERRA data addresses the artificial flash termination by the GLM ground system by recombining split flashes and filtering out more non-lightning noise. This provides researchers with a powerful tool to better investigate convective storm and lightning activity with more accurate observations as well as better incorporate spatial extent observations that can be used for aviation meteorology, lightning safety, and other studies. These data are available from January 12, 2017, through March 31, 2023, in netCDF-4 format. proprietary +glmgoesL3_1 GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products GHRC_DAAC STAC Catalog 2017-12-18 162.9, -57, -76.2, 57 https://cmr.earthdata.nasa.gov/search/concepts/C2278812167-GHRC_DAAC.umm_json The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) onboard the Geostationary Operational Environmental Satellite 16 and 17 (GOES-16 and GOES-17). These satellites are a part of the GOES-R series program: a four satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset. proprietary global-cryosphere-watch-data-survey_1.0 Global Cryosphere Watch data survey ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815290-ENVIDAT.umm_json Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020). proprietary global-species-distributions-for-mammals-reptiles-and-amphibians_1.0 Global species distributions for mammals, reptiles, and amphibians ENVIDAT STAC Catalog 2022-01-01 2022-01-01 180, -90, -180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3226082087-ENVIDAT.umm_json We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5° spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability. proprietary global_N_cycle_797_1 Global N Cycle: Fluxes and N2O Mixing Ratios Originating from Human Activity ORNL_CLOUD STAC Catalog 1756-01-01 2004-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776893351-ORNL_CLOUD.umm_json Nitrogen is a major nutrient in terrestrial ecosystems and an important catalyst in tropospheric photochemistry. Over the last century human activities have dramatically increased inputs of reactive nitrogen (Nr, the combination of oxidized, reduced and organically bound nitrogen) to the Earth system. Nitrogen cycle perturbations have compromised air quality and human health, acidified ecosystems, and degraded and eutrophied lakes and coastal estuaries [Vitousek et al., 1997a, 1997b; Rabalais, 2002; Howarth et al., 2003; Townsend et al., 2003; Galloway et al., 2004]. To begin to quantify the changes to the global N cycle, we have assembled key flux data and N2O mixing ratios from various sources. The data assembled from different sources includes fertilizer production from 1920-2004; manure production from 1860-2004; crop N fixation estimated for three time points, 1860, 1900, 1995; tropospheric N2O mixing ratios from ice core and firn measurements, and tropospheric concentrations to cover the time period from 1756-2004. The changing N2O concentrations provide an independent index of changes to the global N cycle, in much the same way that changing carbon dioxide concentrations provide an important constraint on the global carbon cycle. The changes to the global N cycle are driven by industrialization, as indicated by fossil fuel NOx emission, and by the intensification of agriculture, as indicted by fertilizer and manure production and crop N2 fixation. The data set and the science it reflects are by nature interdisciplinary. Making the data set available through the ORNL DAAC is an attempt to make the data set available to the considerable interdisciplinary community studying the N cycle. proprietary global_N_deposition_maps_830_1 Global Maps of Atmospheric Nitrogen Deposition, 1860, 1993, and 2050 ORNL_CLOUD STAC Catalog 1860-01-01 2050-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2776896954-ORNL_CLOUD.umm_json This data set provides global gridded estimates of atmospheric deposition of total inorganic nitrogen (N), NHx (NH3 and NH4+), and NOy (all oxidized forms of nitrogen other than N2O), in mg N/m2/year, for the years 1860 and 1993 and projections for the year 2050. The data set was generated using a global three-dimensional chemistry-transport model (TM3) with a spatial resolution of 5 degrees longitude by 3.75 degrees latitude (Jeuken et al., 2001; Lelieveld and Dentener, 2000). Nitrogen emissions estimates (Van Aardenne et al., 2001) and projection scenario data (IPCC, 1996; 2000) were used as input to the model. proprietary global_population_xdeg_975_1 ISLSCP II Global Population of the World ORNL_CLOUD STAC Catalog 1990-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784894945-ORNL_CLOUD.umm_json Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with this data set for the reference years 1990 and 1995. Over 127,000 administrative units and population counts were collected and integrated from various sources to create the gridded data. In brief, GPW was created using the following steps: * Population data were estimated for the product reference years, 1990 and 1995, either by the data source or by interpolating or extrapolating the given estimates for other years. * Additional population estimates were created by adjusting the source population data to match UN national population estimates for the reference years. * Borders and coastlines of the spatial data were matched to the Digital Chart of the World where appropriate and lakes from the Digital Chart of the World were added. * The resulting data were then transformed into grids of UN-adjusted and unadjusted population counts for the reference years. * Grids containing the area of administrative boundary data in each cell (net of lakes) were created and used with the count grids to produce population densities.As with any global data set based on multiple data sources, the spatial and attribute precision of GPW is variable. The level of detail and accuracy, both in time and space, vary among the countries for which data were obtained. proprietary +globalir_1 INFRARED GLOBAL GEOSTATIONARY COMPOSITE V1 GHRC_DAAC STAC Catalog 1995-06-04 -180, -61, 180, 66 https://cmr.earthdata.nasa.gov/search/concepts/C1996543397-GHRC_DAAC.umm_json The Infrared Global Geostationary Composite dataset contains global composite images from the infrared channels of multiple weather satellites in geosynchronous orbit. These satellites include the Global Mobility Service (GMS) from Japan, the Geostationary Operational Environmental Satellite (GOES) from the United States, NOAA satellites, and the Meteorological Satellite (METEOSAT) from Europe spanning nearly the entire globe. The spatial resolution is 14 km before December 18, 2017, and 4 km after that with the data remapped into a Mercator projection. The data have not necessarily been cross-calibrated between sensors. The data are available in AREA McIDAS format from June 4, 1995, to January 24, 2024, and netCDF-4 format from January 25, 2024, to present. proprietary globalview_ch4_point_1109_1 ISLSCP II GlobalView: Atmospheric Methane Concentrations ORNL_CLOUD STAC Catalog 1984-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785319804-ORNL_CLOUD.umm_json The GlobalView Methane (CH4) data product contains synchronized and smoothed time series of atmospheric CH4 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1984 to 1998 with some sites having shorter or longer temporal coverage. Note that the GlobalView-CH4 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CH4 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 74 files with this data set which includes 71 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file containing CH4 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure. proprietary globalview_co2_point_1111_1 ISLSCP II Globalview: Atmospheric CO2 Concentrations ORNL_CLOUD STAC Catalog 1979-01-01 2001-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785323218-ORNL_CLOUD.umm_json The GlobalView Carbon Dioxide (CO2) data product contains synchronized and smoothed time series of atmospheric CO2 concentrations at selected sites that were created using the data extension and integration techniques described by Masarie and Tans, (1995). The information needed to derive this time series is also in this data set, along with extensive documentation. The longest period of coverage is from 1979 to 2001 with some sites having longer or shorter temporal coverage. Note that the GlobalView CO2 data products are derived from measurements but contain no actual data. To facilitate heterogeneous CO2 data use in carbon cycle modeling studies, the measurements have been processed (smoothed, interpolated, and extrapolated) resulting in extended records that are evenly incremented in time. There are 92 files with this data set which includes 89 *.zip data files. The other three files include 2 files with site information, one comma-delimited ASCII file (.csv), and one .dat file, and one .dat file which is a single reference marine boundary layer matrix file which contains CO2 mixing ratios as a function of time and sine of latitude and is a by-product of the data extension procedure. proprietary globe_dem_630_1 SAFARI 2000 Digital Elevation Model, 1-km (GLOBE) ORNL_CLOUD STAC Catalog 1999-01-01 1999-06-01 5, -35, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2788339997-ORNL_CLOUD.umm_json This data set consists of a southern African subset of the Global Land One-Kilometer Base Elevation (GLOBE) digital elevation model (DEM) data in both ASCII GRID and binary image file formats. proprietary @@ -13131,772 +11819,30 @@ goes71a_300_1 BOREAS RSS-14 GOES-7 Level-1a Visible, Infrared, and Water Vapor I goes72_554_1 BOREAS RSS-14 GOES-7 Level-2 Shortwave and Longwave Radiation Images ORNL_CLOUD STAC Catalog 1994-02-05 1994-09-20 -111, 47.65, -87.12, 65.91 https://cmr.earthdata.nasa.gov/search/concepts/C2929163896-ORNL_CLOUD.umm_json This data set contains images of shortwave and longwave radiation at the surface and top of the atmosphere derived from collected GOES-7 data. The data cover the time period of 05-Feb-1994 to 20-Sep-1994. The images missing from the temporal series were zero-filled to create a consistent sequence of files. proprietary goes81_445_1 BOREAS RSS-14 GOES-8 Level-1 Visible, Infrared and Water Vapor Images ORNL_CLOUD STAC Catalog 1995-07-14 1996-10-03 -111, 50.09, -93.5, 58.98 https://cmr.earthdata.nasa.gov/search/concepts/C2929112895-ORNL_CLOUD.umm_json The level-1 BOREAS GOES-8 images are raw data values collected by RSS-14 personnel at FSU and delivered to BORIS. The data cover 14-Jul-1995 to 21-Sep-1995 and 01-Jan-1996 to 03-Oct- 1996. The data start out containing three 8-bit spectral bands and end up containing five 10-bit spectral bands. proprietary goes81a_446_1 BOREAS RSS-14 GOES-8 Level-1a Visible, Infrared and Water Vapor Images ORNL_CLOUD STAC Catalog 1995-07-14 1996-10-03 -111, 50.09, -93.5, 58.98 https://cmr.earthdata.nasa.gov/search/concepts/C2929124379-ORNL_CLOUD.umm_json The level-1a GOES-8 images cover 14-Jul-1995 to 21-Sep-1995 and 12-Feb-1996 to 03-Oct-1996. The data start out as three bands with 8-bit pixel values and end up as five bands with 10-bit pixel values. The differences between the level-1 and level-1a GOES-8 data are the formatting and packaging of the data. The images missing from the temporal series of level-1 GOES-8 images were zero-filled to create files consistent in size and format. proprietary -gomc_156_Not provided Adopt-a-Tide Pool SCIOPS STAC Catalog 1990-01-01 -70.923, 42.489, -70.763, 42.577 https://cmr.earthdata.nasa.gov/search/concepts/C1214586152-SCIOPS.umm_json Salem Sound Coastwatch trains volunteers to monitor tide pools through the Adopt-A-Tide pool program. Volunteers will help us focus special attention on local tide pools and catalog the diversity of both native and invasive species. This information will be passed on to scientists working on strategies to address marine invasive species. Waterbody or Watershed Names: Salem Sound proprietary -gomc_219_Not provided 2001 Long Island Sound Study Ambient Water Quality and Monitoring Program SCIOPS STAC Catalog 1970-01-01 -74.3, 40.5, -71.75, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C1214585922-SCIOPS.umm_json The Interstate Environmental Commission is a joint agency of the States of New York, New Jersey, and Connecticut. The IEC was established in 1936 under a Compact between New York and New Jersey and approved by Congress. The State of Connecticut joined the Commission in 1941. Waterbody or Watershed Names: Long Island Sound proprietary -gomc_323_Not provided ACAP Saint John's Community Environmental Monitoring Program (CEMP) SCIOPS STAC Catalog 1992-01-01 -66.25, 45, -65.25, 46 https://cmr.earthdata.nasa.gov/search/concepts/C1214585928-SCIOPS.umm_json Parameters measured included: ammonia nitrogen, orthophosphate, dissolved oxygen, pH, turbidity, salinity, faecal coliform. proprietary -gomc_40_Not provided Air Quality Monitoring In New Brunswick SCIOPS STAC Catalog 1970-01-01 -145.27, 37.3, -48.11, 87.61 https://cmr.earthdata.nasa.gov/search/concepts/C1214586182-SCIOPS.umm_json We know that air pollution can have an effect on the health of our environment and on human health. People who have respiratory difficulties are particularly sensitive to poor air quality. Children are frequently affected because of their physiology and because they tend to be more active outdoors. Monitoring air quality in New Brunswick helps us to better understand the sources, movements and effects of various substances in the air we breathe. The data we collect helps us to control sources of air pollution within our province, and to negotiate with governments in other jurisdictions for controls on air pollution that crosses borders. The more we know, the more effectively we can work to protect and enhance our air quality and our environment. proprietary +goescpex_1 GOES CPEX GHRC_DAAC STAC Catalog 2017-05-31 2017-06-25 -130.924, 8.0293, -57.1049, 49.9 https://cmr.earthdata.nasa.gov/search/concepts/C2617798948-GHRC_DAAC.umm_json The GOES CPEX dataset contains products obtained from the Geostationary Operational Environmental Satellite 13. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 31, 2017 through July 25, 2017 and are available in netCDF-3 format. proprietary +goescpexcv_1 GOES CPEX-CV GHRC_DAAC STAC Catalog 2022-09-06 2022-09-30 -84.0932388, 3.2196231, 5.6536155, 67.0445328 https://cmr.earthdata.nasa.gov/search/concepts/C2738393375-GHRC_DAAC.umm_json The GOES CPEX-CV dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde during August-September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and will be conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 6-20, 2022 in netCDF-4 format, with associated browse imagery in MPEG-4 format. proprietary +goesimpacts_1 GOES IMPACTS GHRC_DAAC STAC Catalog 2020-01-01 2023-03-02 -117.1143494, 8.2410402, -50.1258583, 53.149292 https://cmr.earthdata.nasa.gov/search/concepts/C1995568158-GHRC_DAAC.umm_json The GOES IMPACTS dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The GOES IMPACTS dataset files are available in netCDF-4 format from January 1 through February 29, 2020. This dataset contains data from the GOES-16 CONUS and Mesoscale sectors, although IMPACTS uses a subset of the GOES-16 CONUS domain. The complete collection of GOES data is available from the NOAA Comprehensive Large Array-Data Stewardship System (CLASS). It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +goesrpltaviris_1 GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) GHRC_DAAC STAC Catalog 2017-04-11 2017-05-14 -118.198, 26.449, -72.2016, 43.5726 https://cmr.earthdata.nasa.gov/search/concepts/C1979992256-GHRC_DAAC.umm_json The GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) dataset consists of radiance, reflectance, water phase, and navigation data delivered by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) flown aboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. This field campaign took place from March through May 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM) satellite instruments. The GOES-R PLT AVIRIS data files are available from April 11, 2017 through May 14, 2017 in ASCII and binary formats along with browse imagery files in JPG format. proprietary +goesrpltavirisng_1 GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) GHRC_DAAC STAC Catalog 2017-03-23 2017-03-28 -121.489, 31.2055, -113.216, 35.8355 https://cmr.earthdata.nasa.gov/search/concepts/C1995568884-GHRC_DAAC.umm_json The GOES-R PLT Field Campaign Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) dataset consists of radiance, reflectance, water phase, and navigation data collected by the Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) for the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). AVIRIS-NG is an imaging spectrometer that measures reflected radiance at 5 nm intervals in the Visible/Short-Wave Infrared (VSWIR) spectral range from 380-2,510 nm. AVIRIS-NG flew onboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. Data files in ASCII and BINARY formats are available for March 23 and 28, 2017. proprietary +goesrpltcolma_1 GOES-R PLT Colorado Lightning Mapping Array (LMA) GHRC_DAAC STAC Catalog 2017-03-01 2017-05-31 -104.647, 40.4364, -104.627, 40.4564 https://cmr.earthdata.nasa.gov/search/concepts/C1979994646-GHRC_DAAC.umm_json The GOES-R PLT Colorado Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Colorado LMA (COLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through May 31, 2017. proprietary +goesrpltcpl_1 GOES-R PLT Cloud Physics LiDAR (CPL) GHRC_DAAC STAC Catalog 2017-03-23 2017-05-17 -118.234, 26.4487, -65.3628, 43.5723 https://cmr.earthdata.nasa.gov/search/concepts/C1979112912-GHRC_DAAC.umm_json The GOES-R PLT Cloud Physics Lidar (CPL) dataset consists of backscatter coefficient, lidar depolarization ratio, layer top/base height, layer type, particulate extinction coefficient, ice water content, and layer/cumulative optical depth data collected from the Cloud Physics LiDAR instrument flown aboard the NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign supported post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The CPL instrument is a multi-wavelength backscatter LiDAR that provides multi-wavelength measurements of cirrus clouds and aerosols with high temporal and spatial resolution. Data files are available from April 13, 2017 through May 14, 2017 in HDF-5 format with layer information in ASCII text files. Browse imagery files in GIF format are also available. proprietary +goesrpltcrs_1 GOES-R PLT Cloud Radar System (CRS) GHRC_DAAC STAC Catalog 2017-04-11 2017-05-17 -117.184, 26.4488, -72.2019, 43.5725 https://cmr.earthdata.nasa.gov/search/concepts/C1995568976-GHRC_DAAC.umm_json The GOES-R PLT Field Campaign Cloud Radar System (CRS) dataset provides high-resolution profiles of reflectivity and Doppler velocity at aircraft nadir along the flight track. The CRS was flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March 21 to May 17, 2017 in support of post-launch product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM) aboard the GOES-R, now GOES-16, satellite. The CRS data files are available in netCDF-3 format with browse imagery available in PNG format. proprietary +goesrpltdclma_1 GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) V1 GHRC_DAAC STAC Catalog 2017-04-06 2017-06-01 -77.1786, 38.8788, -77.1586, 38.8988 https://cmr.earthdata.nasa.gov/search/concepts/C1979113112-GHRC_DAAC.umm_json The GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Washington D.C. LMA (DCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from April 6, 2017 through June 1, 2017. proprietary +goesrpltfegs_1 GOES-R PLT Fly's Eye GLM Simulator (FEGS) GHRC_DAAC STAC Catalog 2017-03-21 2017-05-17 -124.624, 26.4493, -72.2019, 43.5724 https://cmr.earthdata.nasa.gov/search/concepts/C1979115640-GHRC_DAAC.umm_json The GOES-R PLT Fly’s Eye GLM Simulator (FEGS) dataset consists of lightning flash, lightning pulse, and radiance data collected by the FEGS flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PNG format. proprietary +goesrpltgcas_1 GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) GHRC_DAAC STAC Catalog 2017-03-21 2017-05-14 -124.838, 27.4778, -72.1396, 43.6489 https://cmr.earthdata.nasa.gov/search/concepts/C1979115813-GHRC_DAAC.umm_json The GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) dataset consist of solar backscattered radiation measured by the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). Data files in HDF-5 format are available for March 21, 2017 through May 14, 2017. proprietary +goesrpltivanpah_1 GOES-R PLT Surface Radiance Ivanpah V1 GHRC_DAAC STAC Catalog 2017-03-23 2017-03-28 -115.416, 35.5954, -115.396, 35.6154 https://cmr.earthdata.nasa.gov/search/concepts/C1979115951-GHRC_DAAC.umm_json The GOES-R PLT Field Campaign Ivanpah dataset consists of surface reflectance and total optical depth data measured at Ivanpah Playa, Nevada during the GOES-R Post Launch Test (PLT) field campaign. The atmospheric measurements were made using an Automated Solar Radiometer (ASR), which tracks the sun throughout the day. Surface reflectance measurements were made using an ASD portable spectroradiometer and Spectralon reference panel. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1b and L2+ product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). The main goal of this dataset is to provide an independent validation of the AVIRIS-NG airborne instrument calibration. Data files in Excel format and browse imagery files in JPEG and PNG formats are only available for March 23 and March 28, 2017. proprietary +goesrpltksclma_1 GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) GHRC_DAAC STAC Catalog 2017-03-01 2017-06-01 -80.6613, 28.5763, -80.6413, 28.5963 https://cmr.earthdata.nasa.gov/search/concepts/C1980007947-GHRC_DAAC.umm_json The GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Kennedy Space Center LMA (KSCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017. proprietary +goesrpltlip_1 GOES-R PLT Lightning Instrument Package (LIP) GHRC_DAAC STAC Catalog 2017-03-21 2017-05-17 -124.625, 26.449, -72.202, 43.573 https://cmr.earthdata.nasa.gov/search/concepts/C1979116062-GHRC_DAAC.umm_json The GOES-R PLT Lightning Instrument Package (LIP) dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PDF format. proprietary +goesrpltmisrep_1 GOES-R PLT Mission Reports GHRC_DAAC STAC Catalog 2017-03-13 2017-05-17 -124.625, 26.449, -72.202, 43.573 https://cmr.earthdata.nasa.gov/search/concepts/C1995569043-GHRC_DAAC.umm_json The GOES-R PLT Mission Reports dataset consists of various reports filed by the scientists during the GOES-R Post Launch Test (PLT) field campaign including flight reports, weather forecasts, mission scientist reports, and plan-of-day reports. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The GOES-R PLT Mission Reports dataset contains reports from March 13 through May 17, 2017 in PDF, PNG, Microsoft Excel and Word (.xlsx and .docx) format, and KMZ format for display in Google Earth. proprietary +goesrpltnalma_1 GOES-R PLT North Alabama Lightning Mapping Array (LMA) GHRC_DAAC STAC Catalog 2017-03-01 2017-06-01 -86.6553, 34.7146, -86.6353, 34.7346 https://cmr.earthdata.nasa.gov/search/concepts/C1979116261-GHRC_DAAC.umm_json The GOES-R PLT North Alabama Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the North Alabama LMA (NALMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017. proprietary +goesrpltnaver2_1 GOES-R PLT ER-2 Flight Navigation Data GHRC_DAAC STAC Catalog 2017-03-21 2017-05-17 -124.625, 26.449, -72.2016, 43.5726 https://cmr.earthdata.nasa.gov/search/concepts/C1979121641-GHRC_DAAC.umm_json The GOES-R PLT ER-2 Flight Navigation Data dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements collected by the NASA ER-2 high-altitude aircraft for flights that occurred during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). ER-2 navigation data files in ASCII-IWG1 format are available for March 21, 2017 through May 17, 2017. proprietary +goesrpltoklma_1 GOES-R PLT Oklahoma Lightning Mapping Array (LMA) V1 GHRC_DAAC STAC Catalog 2017-03-01 2017-06-01 -97.9279, 35.2691, -97.9079, 35.2891 https://cmr.earthdata.nasa.gov/search/concepts/C1980022592-GHRC_DAAC.umm_json The GOES-R PLT Oklahoma Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Oklahoma LMA (OKLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017. proprietary +goesrpltredlake_1 GOES-R PLT Surface Radiance Red Lake V1 GHRC_DAAC STAC Catalog 2017-03-27 2017-04-12 -114.075, 35.65, -114.055, 35.67 https://cmr.earthdata.nasa.gov/search/concepts/C1979121748-GHRC_DAAC.umm_json The GOES-R PLT Surface Radiance Red Lake dataset consists of surface radiation budget, ultraviolet-B (UVB) and photosynthetically active radiation (PAR) flux, meteorological (temperature, pressure, relative humidity, winds), and spectral aerosol optical thickness data collected by a mobile SURFRAD station at Red Lake, Arizona for the GOES-R Post Launch Test (PLT) field campaign. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). Data files are available in ASCII text format from March 27, 2017 through April 12, 2017. Surface reflectance measurements based on spectroradiometer data are also included in Microsoft Excel format. proprietary +goesrpltshis_1 GOES-R PLT Scanning High-Resolution Interferometer Sounder (S-HIS) V1 GHRC_DAAC STAC Catalog 2017-03-21 2017-05-17 -125.016, 26.1133, -71.8618, 43.9249 https://cmr.earthdata.nasa.gov/search/concepts/C1979121979-GHRC_DAAC.umm_json The GOES-R PLT Field Campaign Scanning High-Resolution Interferometer Sounder (S-HIS) dataset consists of emitted thermal radiances measured by the Scanning High-resolution Interferometer Sounder (S-HIS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). Data files in netCDF-3 format are available for March 21, 2017 through May 17, 2017. proprietary +goesrpltsolma_1 GOES-R PLT Southern Ontario Lightning Mapping Array (LMA) V1 GHRC_DAAC STAC Catalog 2017-04-01 2017-06-01 -79.6164, 43.656, -79.5964, 43.676 https://cmr.earthdata.nasa.gov/search/concepts/C1980036345-GHRC_DAAC.umm_json The GOES-R PLT Southern Ontario Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Southern Ontario LMA (SOLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from April 1, 2017 through June 1, 2017. proprietary +goesrpltwtlma_1 GOES-R PLT West Texas Lightning Mapping Array (LMA) V1 GHRC_DAAC STAC Catalog 2017-03-01 2017-06-01 -101.833, 33.597, -101.813, 33.617 https://cmr.earthdata.nasa.gov/search/concepts/C1977516629-GHRC_DAAC.umm_json The GOES-R PLT West Texas Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the West Texas LMA (WTXLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017. proprietary +goeswvt_1 GOES WATER VAPOR TRANSPORT V1 GHRC_DAAC STAC Catalog 1987-05-05 1988-11-30 -120, -30, -30, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1995554230-GHRC_DAAC.umm_json The GOES Water Vapor Transport CD contains nineteen months of geostationary satellite-derived products from the GOES-8 satellite spanning the 1987-1988 El Nino Southern Oscillation (ENSO) cycle. Water vapor transport variables was derived using the Marshall Automated Winds (MAW) tracking algorithm from GOES data are provided in daily and monthly gridded and non-gridded formats. Relative humidity was calculated using a modified version of the brightness temperature to relative humidity conversion technique. Pressure heights were assigned to each wind vector using the simple IR window technique. Data are available in binary and McIDAS format. For further information and to obtain this data, please contact GHRC at support-ghrc@earthdata.nasa.gov proprietary gone-wild-grapevines-in-forests_1.0 Gone-wild grapevines in forests may act as a potential habitat for “Flavescence dorée” phytoplasma vectors and inoculum ENVIDAT STAC Catalog 2023-01-01 2023-01-01 8.4347534, 45.8809865, 9.2422485, 46.5159373 https://cmr.earthdata.nasa.gov/search/concepts/C3226082143-ENVIDAT.umm_json Dataset used to test the potential role of gone-wild grapevines (GWGV) in forests of Southern Switzerland as a source of Flavescence dorée phytoplasma (FDp) inoculum and as a habitat for its main and alternative vectors, Scaphoideus titanus and Orientus ishidae. In the first phase, GWGV were located and sampled to test their FDp status. In addition, a set of chromotropic traps were placed to monitor the presence and abundance of FDp vectors. In the second phase, wood from GWGV in forests was collected and placed in cages to test the potential oviposition activity by FDp vectors. The results showed that GWGV in forests are a reservoir of FDp and that they can sustain the whole life cycle of both S.titanus and O.ishidae. Eventually, the need to adapt the current FD management strategies are highlighted. proprietary -gov.noaa.ncdc:C00842_Version 1.2 Blended 6-Hourly Sea Surface Wind Vectors and Wind Stress on a Global 0.25 Degree Grid (1987-2011) NOAA_NCEI STAC Catalog 1987-07-09 2011-09-30 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093688-NOAA_NCEI.umm_json The Blended Global Sea Surface Winds products contain ocean surface wind vectors and wind stress on a global 0.25 degree grid, in multiple time resolutions of 6-hourly and monthly, with an 11-year (1995-2005) monthly climatology. Daily files from a direct average of the 6-hourly data were also produced but are not included in this archive. The period of record is July 9, 1987 to September 30, 2011 for product Version 1.2, released in July 2007. Wind speeds were generated by blending available and selected microwave and scatterometer observations using a Simple spatiotemporally weighted Interpolation (SI) method. The following satellite retrieval datasets from Remote Sensing Systems (RSS) were used for Version 1.2: SSMI Version 6, TMI Version 4, QSCAT Version 3a, and AMSRE Version 5 (updated using the SSMI rain rate). The wind directions are from the NCEP-DOE Reanalysis 2 (NRA-2). The model wind directions are interpolated onto the blended wind speed grids. The 6-hourly satellite-scaled global 0.25-degree grid wind stresses are computed as: taux_s = -[(w_s/w_m)**2]*taux_m tauy_s = -[(w_s/w_m)**2]*tauy_m where 's' indicates satellite-scaled values and 'm' indicates NRA-2 model values interpolated to the satellite grid. Files are in netCDF format and available to users via FTP and THREDDS. A near real-time (NRT) variant of the product is generated quasi-daily to satisfy the needs of real-time users. The publicly available NRT data were replaced by the delayed-mode research quality data on a monthly basis through the end of September 2011, at which time the Seawinds production was impacted by the loss of data from the AMSR-E instrument failure. Production of the delayed-mode research products ends with the loss of AMSR-E in Version 1.2; a future version will extend beyond September 2011. The NRT products are continued after September 2011; however, this archive only includes the delayed-mode research products as the NRT data have a lower maturity rating removing the basis for archiving those data. proprietary -gov.noaa.ncdc:C01381_Not Applicable AVHRR/HIRS Longwave Radiation Budget Data (RBUD) NOAA_NCEI STAC Catalog 2000-03-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107093896-NOAA_NCEI.umm_json Radiation Budget Data - The Radiation Budget product suite is produced from the primary morning and afternoon Polar Orbiters. Product shows a measure of the longwave radiation emitted (W/m^2) by the earth-atmosphere system to space. The observations are displayed on a one degree equal area map for the day and night. The products are: GAC long wave, HIRS long wave, longwave histogram, annual mean, monthly mean, and seasonal mean. This is a NESDIS legacy product and the file naming pattern is as follows: NPR.RBSD.[SatelliteID].D[YYDDD] or NPR.RBMD.[SatelliteID].D[YYDDD] proprietary -gov.noaa.ncdc:C01560_V3 Blended Global Biomass Burning Emissions Product - Extended (GBBEPx) from Multiple Satellites NOAA_NCEI STAC Catalog 2018-01-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2107094570-NOAA_NCEI.umm_json The Blended Global Biomass Burning Emissions Product version 3 (GBBEPx V3) system produces global biomass burning emissions. The product contains daily global biomass burning emissions (PM2.5, BC, CO, CO2, OC, and SO2) blended fire observations from MODIS Quick Fire Emission Dataset (QFED), VIIRS (NPP and JPSS-1) fire emissions, and Global Biomass Burning Emission Product from Geostationary satellites (GBBEP-Geo), which are in a grid cell of 0.25 à 0.3125 degree and 0.1 x 0.1 degree. It also produces hourly emissions from geostationary satellites, which is at individual fire pixels. The product output also include fire detection record in a HMS format, quality flag in biomass burning emissions, spatial pattern of PM2.5 emissions, and statistic PM2.5 information at continental scale. In Version3, daily biomass burning emissions at a FV3 C384 grid in binary format and daily biomass burning emissions at a 0.1 x 0.1 degree grid that include all the emissions species are added as new output. proprietary -gov.noaa.ncdc:C01598_Beta4 Adaptive Ecosystem Climatology Beta 4 Model and Satellite Climatology NOAA_NCEI STAC Catalog 1980-01-01 2012-12-31 -98, 18.091, -77.36, 30.73 https://cmr.earthdata.nasa.gov/search/concepts/C2107094643-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary -gov.noaa.ncdc:C01599_beta6 Adaptive Ecosystem Climatology Beta 6 Satellite Climatology NOAA_NCEI STAC Catalog 1980-01-01 2012-12-31 -135, 22.9276, -62.987, 53 https://cmr.earthdata.nasa.gov/search/concepts/C2107094649-NOAA_NCEI.umm_json The Adaptive Ecosystem Climatology (AEC) is produced by the Naval Research Laboratory (NRL). It consists of two datasets covering multiple regions of the ocean. One is a climatology derived from satellite data, the other is a climatology derived from a computer model of parts of the ocean that simulates physical and biological phenomena. The satellite climatology has data for chlorophyll concentration and sea surface temperature. The model climatology has fields for sea surface height, temperature, current, and concentrations of various types of plankton on the surface and underwater. Spatial resolution ranges from 1km to 4km depending on the product. These data are in NetCDF version 3 format with metadata attributes included. proprietary -gov.noaa.ngdc.mgg.photos:12_Not Applicable April 1906 San Francisco, USA Images NOAA_NCEI STAC Catalog 1906-04-18 1906-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705777-NOAA_NCEI.umm_json The 1906 San Francisco earthquake was the largest event (magnitude 8.3) to occur in the conterminous United States in the 20th Century. Recent estimates indicate that as many as 3,000 people lost their lives in the earthquake and ensuing fire. In terms of 1906 dollars, the total property damage amounted to about $24 million from the earthquake and $350 million from the fire. The fire destroyed 28,000 buildings in a 520-block area of San Francisco. proprietary -gov.noaa.ngdc.mgg.photos:16_Not Applicable April 1992 Cape Mendocino, USA Images NOAA_NCEI STAC Catalog 1992-04-25 1992-04-25 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705735-NOAA_NCEI.umm_json On April 25, 1992 at 11:06 am local time (April 25 at 18:06 GMT), a magnitude 7.1 earthquake occurred in the Cape Mendocino area. Two additional earthquakes, magnitudes 6.6 and 6.7 occurred the next morning (April 26 at 00:41 and 04:18 am local time). The first earthquake was located six miles north of Petrolia, California, in a sparsely populated part of southwestern Humboldt County. Five small communities were located within a 50-mile radius of these events: Honeydew, Petrolia, Rio Dell, Scotia, and Ferndale. proprietary -gov.noaa.ngdc.mgg.photos:1_Not Applicable August 1959 Hebgen Lake, USA Images NOAA_NCEI STAC Catalog 1959-08-18 1959-08-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705741-NOAA_NCEI.umm_json The magnitude 7.1 earthquake killed 28 people and caused $11 million property damage. Affected area: 1,554,000 sq km proprietary -gov.noaa.ngdc.mgg.photos:23_Not Applicable August 1999 Izmit (Kocaeli), Turkey Images NOAA_NCEI STAC Catalog 1999-08-17 1999-08-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705776-NOAA_NCEI.umm_json On August 17, 1999, at 3:02 am local time (00:02 GMT) a magnitude (Mw) 7.4 earthquake occurred on the northern Anatolian fault. The epicenter was located very close to the south shore of the Bay of Izmit, an eastward extension of the Marmara Sea. The location of this earthquake and its proximity to a populous region on the Bay of Izmit contributed greatly to its damaging effects. The total estimated loss for port facilities in the region was around $200 million (US). Subsidence and slumping caused much of the coastal damage, but a tsunami was generated that also caused coastal damage and deaths. proprietary -gov.noaa.ngdc.mgg.photos:242_Not Applicable April 1984 Morgan Hill, USA Images NOAA_NCEI STAC Catalog 1984-04-24 1984-04-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705812-NOAA_NCEI.umm_json This magnitude 6.2 earthquake caused $30 million in property damage in northern California. The epicenter of the quake was located near Mount Hamilton in the Diablo Range of the California Coast Ranges. The earthquake was felt over an area of 120,000 square kilometers in California and western Nevada. proprietary -gov.noaa.ngdc.mgg.photos:248_Not Applicable August 1973 Veracruz, Mexico Images NOAA_NCEI STAC Catalog 1973-08-28 1973-08-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705854-NOAA_NCEI.umm_json South of Veracruz, southeastern Mexico. Damage: Severe. The earthquake caused heavy damage in the states of Morelos, Puebla, and Veracruz. Thousands were left homeless. proprietary -gov.noaa.ngdc.mgg.photos:251_Not Applicable April 1976 Esmeraldas, Ecuador Images NOAA_NCEI STAC Catalog 1976-04-09 1976-04-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705860-NOAA_NCEI.umm_json Northwestern Ecuador. Damage: Severe. proprietary -gov.noaa.ngdc.mgg.photos:263_Not Applicable Barcena, Mexico Images NOAA_NCEI STAC Catalog -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705887-NOAA_NCEI.umm_json Barcena is on San Benedicto Island, which lies off the coast of Mexico, south of Baja California and west of Mexico City. proprietary -gov.noaa.ngdc.mgg.photos:264_Not Applicable Cerro Negro, Nicaragua Images NOAA_NCEI STAC Catalog -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705827-NOAA_NCEI.umm_json "This cinder cone in western Nicaragua has a name that means ""black hill."" It has erupted more than 20 times since its birth in 1850. Explosive eruptions from the central crater are often accompanied by lava flows from the base of the cone. It is the youngest of four cinder cones scattered along a 20 km line east-southeast of Telica." proprietary -gov.noaa.ngdc.mgg.photos:29_Not Applicable April 1946 Unimak Island, USA Images NOAA_NCEI STAC Catalog 1946-04-01 1946-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705762-NOAA_NCEI.umm_json On April 1, 1946, at 12:29 [local time] a rather strong magnitude 8.6 earthquake occurred with source to the south of Unimak Island, causing one of the most destructive tsunamis in the Pacific Ocean. proprietary -gov.noaa.ngdc.mgg.photos:32_Not Applicable April 1968 Southeast of Hawaii, USA Images NOAA_NCEI STAC Catalog 1968-04-03 1968-04-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705763-NOAA_NCEI.umm_json This major (magnitude 7.9) earthquake caused 77 deaths (tsunami, 46; landslide, 31). It knocked almost all wooden houses off their foundations in the Keiawa, Punaluu, and Ninole areas. proprietary -gov.noaa.ngdc.mgg.photos:36_Not Applicable April 1981 Westmorland, Calipatria, USA Images NOAA_NCEI STAC Catalog 1981-04-26 1981-04-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705807-NOAA_NCEI.umm_json Magnitude 6.3. Damage $1-$3 million. Subsidence was reported on several rural roads in the area. Liquefaction caused scores of mudpots, and oozing soil in nearby fields. One country road west of Westmorland collapsed, producing a 2-foot drop-off. In rural areas, unreinforced, concrete-lined irrigation canals were broken. proprietary -gov.noaa.ngdc.mgg.photos:4_Not Applicable April 1965 Seattle, USA Images NOAA_NCEI STAC Catalog 1965-04-29 1965-04-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705734-NOAA_NCEI.umm_json The magnitude 6.5 earthquake killed 7 and caused 12.5 million in property damage. proprietary -gov.noaa.ngdc.mgg.photos:52_Not Applicable April 2007 Solomon Islands, Papua New Guinea Images NOAA_NCEI STAC Catalog 2007-04-01 2007-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2105705809-NOAA_NCEI.umm_json An earthquake measuring 8.1 struck 345 kilometers northwest of the Solomon Islands' capital Honiara at 0740 local time on 2 April. (2040 GMT 1 April). The earthquake created a tsunami causing significant damage in the Solomon Islands. Large tsunami waves (reports range from 2m to 10m) are reported to have struck the islands in the Western Province area of Solomon Islands and some parts of Papua New Guinea. Affected areas include Gizo, Simbo, Ranogga, Shortlands, Munda, Noro, Vella la Vella, Kolombangarra and parts of the southern coast of Choiseul. At least 34 were killed and several dozen missing. 5,500 people are thought to have been displaced in total. The Ministry of Health and Medical Services (MHMS) estimates that up to 50,000 people may be affected out of a total population of 100,000 in Western and Choiseul provinces. proprietary -gov.noaa.nodc:0000015_Not Applicable Alkalinity, dissolved oxygen, nutrients, pH, phosphate, salinity, silicate, and temperature collected by bottle from multiple cruises in the Southern Oceans from 1/15/1958 - 3/2/1990 (NCEI Accession 0000015) NOAA_NCEI STAC Catalog 1958-01-15 1990-03-02 6.05, -70.233333, -47.033333, -26.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089372155-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0000028_Not Applicable Benthic species - TAXA counts, identities, and wet weights collected by sediment grab from multiple cruises in Prince William Sound, Alaska, from 10/22/1985 - 8/31/1988 (NCEI Accession 0000028) NOAA_NCEI STAC Catalog 1985-10-22 1998-08-31 -146.597, 61.0802, -146.2983, 61.13 https://cmr.earthdata.nasa.gov/search/concepts/C2089372272-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0000029_Not Applicable 1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029) NOAA_NCEI STAC Catalog 1990-09-26 1995-05-26 -124.041667, 0.766667, -16.25, 46.263167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0000035_Not Applicable 1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035) NOAA_NCEI STAC Catalog 1996-07-09 1998-03-06 -124.003, 46.179833, -123.183167, 46.261667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.umm_json Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996. In 1997 there were 2 week cruises in May, July, and October. proprietary -gov.noaa.nodc:0000052_Not Applicable 1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052) NOAA_NCEI STAC Catalog 1988-03-01 1988-06-28 -149.4083, 59.9117, -149.3583, 60.02 https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.umm_json Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project. proprietary -gov.noaa.nodc:0000064_Not Applicable Arabian Sea Biogeochemistry from 27 August 1994 to 19 December 1994 (NCEI Accession 0000064) NOAA_NCEI STAC Catalog 1994-08-27 1994-12-19 56.5529, 7.7811, 67.3194, 26.0221 https://cmr.earthdata.nasa.gov/search/concepts/C2089372546-NOAA_NCEI.umm_json Arabesque was a multidisciplinary oceanographic research project focused on the Arabian Sea and Northwest Indian Ocean during the monsoon and intermonsoon season in 1994. proprietary -gov.noaa.nodc:0000085_Not Applicable Benthic taxonomy and benthic biomass data collected by the R/V Alpha Helix in support of the ISHTAR Project in the Bering and Chukchi Seas, 1984-1990 (NCEI Accession 0000085) NOAA_NCEI STAC Catalog 1984-06-19 1990-06-21 -175.00118, 60.014, -163.75, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2089372672-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0000103_Not Applicable Bering Sea Inner Front zooplankton data sets collected with CalVet net on four cruises from 6/3/1997 - 9/1/1998 (NCEI Accession 0000103) NOAA_NCEI STAC Catalog 1997-06-01 1998-09-01 -168.745, 55.0372, -159.994, 59.1733 https://cmr.earthdata.nasa.gov/search/concepts/C2089372740-NOAA_NCEI.umm_json Zooplankton and other data were collected using CalVet net in Bering sea from ALPHA HELIX. Data were collected from 01 June 1997 to 01 September 1998 by University of Alaska in Fairbanks with support from the Inner Front project. proprietary -gov.noaa.nodc:0000107_Not Applicable Bering Sea Inner Front zooplankton, temperature, salinity, and conductivity data sets collected with MOCNESS net on five cruises aboard the ALPHA HELIX, 6/3/1997 - 6/7/1999 (NCEI Accession 0000107) NOAA_NCEI STAC Catalog 1997-06-03 1999-06-07 -170.282776, 55.07781, -158.38281, 59.65572 https://cmr.earthdata.nasa.gov/search/concepts/C2089372750-NOAA_NCEI.umm_json Zooplankton, temperature, species identification, and other data were collected from ALPHA HELIX using net casts in the Bering Sea. Data were collected from 03 June 1997 to 07 June 1999 by University of Alaska/IMS in Fairbanks, Alaska with support from Inner Front project. proprietary -gov.noaa.nodc:0000121_Not Applicable Carbonate Chemistry of the Weddell Sea from 10/9/1981 - 11/25/1981 (NCEI Accession 0000121) NOAA_NCEI STAC Catalog 1981-10-09 1981-11-25 -50, -62.341667, 5.375, -37 https://cmr.earthdata.nasa.gov/search/concepts/C2089372851-NOAA_NCEI.umm_json Carbonate data for the Weddell sea are provided from both surface samples taken along the cruise track of the US-USSR Weddell Polynya Expedition (WEPOLEX-81) and from samples taken at vertical stations. The expedition aboard the Soviet icebreaker SOMOV began on October 9, 1981, and ended on November 25, 1981. proprietary -gov.noaa.nodc:0000247_Not Applicable Baseline marine biological survey at the Peacock Point outfall and other point-source discharges on Wake Atoll, Pacific Ocean in 1998-06 (NCEI Accession 0000247) NOAA_NCEI STAC Catalog 1998-06-01 1998-06-30 166.059837, 19.026867, 166.06553, 19.029755 https://cmr.earthdata.nasa.gov/search/concepts/C2089373514-NOAA_NCEI.umm_json The U.S. Army Space and Missile Defense Command (SMDC) in support of the Ballistic Missile Defense Organization (BMDO) sponsored a marine biological survey at Wake Atoll, located approximately 2,100 miles west of Honolulu at 19 18' North Latitude and 166 35' East Longitude. On behalf of the SMDC, biologists from the U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service (NMFS) were invited to Wake Atoll in June 1998. The purpose of the visit was to conduct baseline marine biological surveys in the vicinity of the Peacock Point outfall pipe and to examine the sites of other point-source discharges to the marine environment (i.e., power plant, desalinization plant, and stormwater outlets). The biologists were asked to (1) generally characterize the coral-reef habitats within the vicinity of the outfall, (2) document the primary species of reef fishes, corals, other macroinvertebrates, and algae that exist in those habitats, and (3) investigate whether the reef communities at the other sites appeared to have been impacted by the discharges. proprietary -gov.noaa.nodc:0000251_Not Applicable 1996 Inventory of Endangered Species and Wildlife Resources on US Army Kwajalein Atoll, Republic of the Marshall Islands (NCEI Accession 0000251) NOAA_NCEI STAC Catalog 1996-09-22 1996-12-12 167.45, 8.73, 167.78, 9.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089373544-NOAA_NCEI.umm_json This report summarizes the results of the first United States Army Kwajalein Atoll (USAKA) Activities in the Republic of the Marshall Islands (UES) inventory of endangered species and wildlife resources at USAKA, which was conducted in 1996. The 1996 inventory report is to be used as the official record of species and habitats of concern at USAKA until the results of the next inventory (1998) are reported and incorporated into the UES pursuant to the next applicable annual review. For the National Oceanographic Data Center, interest in the report focuses on the marine element. Data tables from marine surveys of sponges, corals, and mollusks are given. proprietary -gov.noaa.nodc:0000263_Not Applicable Chemical and depth data from the ALPHA HELIX using bottle casts in the Bering Sea from 1987-09-07 to 1988-06-11 (NCEI Accession 0000263) NOAA_NCEI STAC Catalog 1987-10-18 1988-06-11 -172.219, 62.317, -167.083, 65.668 https://cmr.earthdata.nasa.gov/search/concepts/C2089373584-NOAA_NCEI.umm_json Chemical and depth data were collected from the ALPHA HELIX from September 7, 1987 to June 11, 1988. Data were submitted by the University of Alaska - Fairbanks; Institute of Marine Science and California Department of Fish and Game. Data were collected using bottle casts in the Bering Sea. proprietary -gov.noaa.nodc:0000266_Not Applicable Chemical, physical, and salinity data from bottle and CTD casts in a world-wide distribution from 14 May 1957 to 18 December 1999 (NCEI Accession 0000266) NOAA_NCEI STAC Catalog 1957-05-14 1999-12-18 -57.227, -67, -149.3, 48.052 https://cmr.earthdata.nasa.gov/search/concepts/C2089373602-NOAA_NCEI.umm_json Chemical, physical, and salinity data were collected from multiple ships from May 14, 1957 to December 18, 1999. Data were collected from the IFREMER, ORSTOM, and NEW CALEDONIA using CTD and bottle casts in a world-wide distribution. Chemical include pH, dissolved oxygen, phosphate, silicate, nitrate, nitrite, and ammonium. proprietary -gov.noaa.nodc:0000268_Not Applicable Chlorophyll, temperature, depth, and irradiance data from bottle in a world-wide distribution from 28 February 1964 to 02 April 1994 (NCEI Accession 0000268) NOAA_NCEI STAC Catalog 1964-02-28 1994-04-02 -179.6, -21.5, -1.3, 49.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089373618-NOAA_NCEI.umm_json Chlorophyll, temperature, depth, and irradiance data were collected using bottle from multiple vessels in a world-wide distribution from 28 February 1964 to 02 April 1994. proprietary -gov.noaa.nodc:0000298_Not Applicable Chemical, Physical, and zooplankton abundance/biomass data collected using several instruments in the Coastal Waters of California as a part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 07 January 2000 to 01 July 2000 (NCEI Accession 0000298) NOAA_NCEI STAC Catalog 2000-01-07 2000-07-14 -124.331667, 29.848333, -117.303333, 35.091667 https://cmr.earthdata.nasa.gov/search/concepts/C2089373763-NOAA_NCEI.umm_json Chemical, physical, and zooplankton abundance/biomass data were collected using secchi disk, zooplankton net, current meter (ADCP), bottle, and CTD casts in the Coastal Waters of California from the NEW HORIZON and DAVID STARR JORDAN. Data were collected from January 7, 2000 to July 1, 2000. Data were submitted by Scripps Institution of Oceanography as a part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:0000303_Not Applicable Chemical, transmissivity, and other data from CTD, bottle, and BT casts in the Arctic Ocean, North Atlantic Ocean, and North Pacific Ocean from 29 June 1966 to 22 April 2000 (NCEI Accession 0000303) NOAA_NCEI STAC Catalog 1966-06-29 2000-04-22 150.5017, -15.0005, -40.8833, 79.0202 https://cmr.earthdata.nasa.gov/search/concepts/C2089373798-NOAA_NCEI.umm_json Chemical, transmissivity, fluorescence, nutrients, and temperature data were collected from multiple ships from June 29, 1966 to April 22, 2000. Data were submitted by Marine Environmental Data Service. Data were collected using bottle, BT, and CTD casts in the Arctic Ocean, North Atlantic Ocean and South Atlantic Ocean. proprietary -gov.noaa.nodc:0000340_Not Applicable Bacteria and other data from the HERMANO GINES using bottle casts in the Caribbean Sea from 14 November 1997 to 07 November 1998 (NCEI Accession 0000340) NOAA_NCEI STAC Catalog 1997-11-14 1998-11-07 -64.675, 10.49, -64.666667, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373897-NOAA_NCEI.umm_json Bacteria and other data were collected from the HERMANO GINES from November 14, 1997 to November 7, 1998. Data were submitted by State University of New York - Stony Brook as part of the Carbon Retention in a Colored Ocean project. Data were collected using bottle casts in the Caribbean Sea. proprietary -gov.noaa.nodc:0000349_Not Applicable Bottom-mounted water level recorder data in the Gulf of Alaska as part of the Inner Shelf Transport and Recycling (ISHTAR) project from 05 July 1985 to 09 October 1988 (NCEI Accession 0000349) NOAA_NCEI STAC Catalog 1985-07-05 1988-10-09 -172.247, 62.815, -168.22, 68.122 https://cmr.earthdata.nasa.gov/search/concepts/C2089373949-NOAA_NCEI.umm_json Depth, pressure, and water temperature data were collected at fixed platforms in the Gulf of Alaska from July 5, 1985 to October 9, 1988. These data were submitted by the University of Alaska - Fairbanks; Institute of Marine Science as part of the Inner Shelf Transfer and Recycling (ISHTAR) project. proprietary -gov.noaa.nodc:0000354_Not Applicable Chemical, physical, and other data from various cruises in the Northeast Pacific Ocean from 08 July 1974 to 21 August 1983 (NCEI Accession 0000354) NOAA_NCEI STAC Catalog 1974-07-08 1983-08-21 -127.633333, 47, -123.166667, 55.95 https://cmr.earthdata.nasa.gov/search/concepts/C2089373979-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from the YAQUINA, CAYUSE, WECOMA, and THOMAS G. THOMPSON from July 8, 1974 to August 21, 1983. Data were submitted by University of Washington using bottle and CTD casts in Coastal Waters of the Washington/Oregon and Northeast Pacific Ocean. proprietary -gov.noaa.nodc:0000358_Not Applicable Barometric pressure, conductivity, temperature, and water level data from tide gauge from the Florida Department of Environmental Protection Tide Station from 01 January 1977 to 31 December 1999 (NCEI Accession 0000358) NOAA_NCEI STAC Catalog 1997-01-01 1999-12-31 -81.68, 27.15, -80.15, 30.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089373989-NOAA_NCEI.umm_json Barometric pressure, conductivity, temperature, and water level data were collected at fixed platforms in the North Atlantic Ocean and Coastal waters of Florida from January 1, 1977 to December 31, 1999. Data were submitted by Florida Department of Environmental Protection. These data were collected using tide gauge at the fixed locations. proprietary -gov.noaa.nodc:0000366_Not Applicable Air/delta/sea surface temperature, pressure, and other data from MISS GAIL in a world-wide distribution from 21 October 1957 to 18 April 1961 (NCEI Accession 0000366) NOAA_NCEI STAC Catalog 1957-10-21 1961-04-18 18.7, -43.033333, 16.3, 64.033333 https://cmr.earthdata.nasa.gov/search/concepts/C2089374032-NOAA_NCEI.umm_json Air/delta/sea surface temperature, pressure, and other data were collected from the MISS GAIL in a world-wide distribution from October 21, 1957 to April 18, 1961. Data were submitted by the NOAA Oar Climate Monitoring and Diagnostics Lab. proprietary -gov.noaa.nodc:0000396_Not Applicable Chlorophyll data from the Coastal waters of Hawaii and Northeast Pacific Ocean to study the responses of the ecosystem to the sewage diversion from the the inner bay to an offshore, deep-water location from 24 September 1976 to 15 June 1979 (NCEI Accession 0000396) NOAA_NCEI STAC Catalog 1976-09-24 1979-06-15 -157.76, 21.4, -157.76, 21.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089374658-NOAA_NCEI.umm_json Chlorophyll data were collected at fixed platforms in the Coastal waters of Hawaii and Northeast Pacific Ocean from September 24, 1976 to June 15, 1979. Data were submitted by the University of Hawaii, Maui. Data were collected using pump sampler. proprietary -gov.noaa.nodc:0000411_Not Applicable Aquatic vegetation were photographed from aircraft from Florida Bay, Indian River (Florida), and the Coast of Massachusetts (NCEI Accession 0000411) NOAA_NCEI STAC Catalog 28.15, -81, 71.3, -41.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089374769-NOAA_NCEI.umm_json "Aerial photographs were taken of the aquatic vegetation of Florida Bay, Indian River (Florida), and the Coast of Massachusetts. Photographs were scanned and geo-referenced for the purpose of mapping. Data is contained on a ""DLT"" tape and is stored ""off-site"" as a secure backup copy." proprietary -gov.noaa.nodc:0000422_Not Applicable An Eighteen-Year Time-Series of Chlorophyll Monthly Averages from Kaneohe Bay, Oahu, Hawaii, 1982 - 2001 (NCEI Accession 0000422) NOAA_NCEI STAC Catalog 1982-06-01 2001-01-31 -157.78, 21.41, -157.78, 24.41 https://cmr.earthdata.nasa.gov/search/concepts/C2089374869-NOAA_NCEI.umm_json Chlorophyll data were collected from a sewage outfall site in Kaneohe Bay, Hawaii, from 1982 to 2001. The purpose of the project was to study the responses of the ecosystem to the sewage diversion from the inner bay to an offshore, deep water location and to continue monitoring the location to denote changes associated with natural environmental and anthropogenic forcing on the primary productivity. Data were submitted by the University of Hawaii at Manoa and funding was provided by the Environmental Protective Agency (EPA). proprietary -gov.noaa.nodc:0000425_Not Applicable Biological, chemical, geological, and other data were collected from the R/V KITTIWAKE at 100 sites in Puget Sound from 01 June 1998 to 01 July 1998 as part of a three-year study of toxins (NCEI Accession 0000425) NOAA_NCEI STAC Catalog 1998-06-01 1998-07-01 -122.3, 47.3, -122.3, 47.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089374887-NOAA_NCEI.umm_json Biological, chemical, geological, and other data were collected from the R/V Kittiwait from 01 June 1998 to 01 July 1998. Data were submitted by the Washington State Department of Ecology (WADOE) as part of a 3 year, 100 site, study of toxins in the Puget Sound. Biological data include infauna surveys, amphipod bioassays, and percent urchin fertilization. Chemical data include results of tests for toxins by cytochrome and microtoxology. Geological data include determination of grain fractions. proprietary -gov.noaa.nodc:0000447_Not Applicable Benthic data from bottom grabs from Prince William Sound in support of Exxon Valdez Oil Spill Restoration Project from the R/V DAVIDSON and R/V BIG VALLEY from 03 July 1990 to 25 June of 1991 (NCEI Accession 0000447) NOAA_NCEI STAC Catalog 1990-07-03 1991-06-25 -147.08803, 60.273, -146.92303, 60.332 https://cmr.earthdata.nasa.gov/search/concepts/C2089375015-NOAA_NCEI.umm_json Benthic samples and other data were collected from the R/V DAVIDSON and R/V BIG VALLEY from the Prince William Sound from 03 July 1990 to 25 June of 1991 . Data were collected as part of the Exxon Valdez Oil Spill Restoration Project. Data were collected by the University of Alaska - Fairbanks / Institute of Marine Science (UAK/IMS) with bottom grab sampler and include taxonomic identities and taxonomic counts of benthic animals. proprietary -gov.noaa.nodc:0000501_Not Applicable A unified, long-term, Caribbean-wide initiative to identity the factors responsible for sustaining mangrove wetland, seagrass meadow, and coral reef productivity, February 1993 - October 1998 (NCEI Accession 0000501) NOAA_NCEI STAC Catalog 1993-02-12 1998-10-15 -90.583333, 9.583333, -59.633333, 24.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089375341-NOAA_NCEI.umm_json The Caribbean Coastal Marine Productivity (CARICOMP) Program is a Caribbean-wide research and monitoring network of 27 marine laboratories, parks, and reserves in 17 countries. This data set includes data collected from 42 stations at 29 sites in the Caribbean from 1993 to 1998. Line transects were used to determine the abundance of hard and soft corals, algae, sponges, urchins, and biotic material such as substrate type. proprietary -gov.noaa.nodc:0000504_Not Applicable Bacteria, plankton, and trace metal, and other data from bottle and CTD casts in the Antarctic from the NATHANIEL B. PALMER and ROGER REVELLE in support of the US Joint Global Ocean Flux Study / Antarctic Environments Southern Ocean Process Study (JGOFS /AESOPS) from 1996-10-17 to 1998-03-15 (NCEI Accession 0000504) NOAA_NCEI STAC Catalog 1996-10-17 1998-03-15 163.34, -78.05, -165.91, -52.95 https://cmr.earthdata.nasa.gov/search/concepts/C2089375350-NOAA_NCEI.umm_json Phytoplankton and other data were collected in the Antarctic from the NATHANIEL B. PALMER and ROGER REVELL from 17 October 1996 to 15 March 1998. Bottle data include enumeration and counts of bacteria, picoplankton, nanoplankton and nano microplankton. Bottle data also include concentrations of trace metals. CTD data include conductivity, temperature, and salinity profiles. Data were collected in support of the US Joint Global Ocean Flux Study / Antarctic Environments Southern Ocean Process Study (JGOFS/AESOPS). proprietary -gov.noaa.nodc:0000525_Not Applicable Chlorophyll and brevetoxin data from the ECOHAB project along the west coast of Florida from 1999-2000 (NCEI Accession 0000525) NOAA_NCEI STAC Catalog 1999-09-10 2000-09-29 -87.23565, 25.44867, -81.71588, 30.39237 https://cmr.earthdata.nasa.gov/search/concepts/C2089375484-NOAA_NCEI.umm_json Water and sediment samples were collected on annual ECOHAB Process cruises and on isolated Mote transects (10/13/99 and 10/20/99). Samples will be analyzed for brevetoxin using a competetive ELISA assay (Naar and Baden, in progress) as well as a receptor-binding assay (VanDolah et al., 1994), and have been analyzed for chlorophyll a (water only) using the Welschmeyer (1994) non-acidification technique. (To be updated when data has been analyzed.) proprietary -gov.noaa.nodc:0000599_Not Applicable Aids to Navigation (ATONS) GIS data from the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas as of 1999-10-21 (NCEI Accession 0000599) NOAA_NCEI STAC Catalog 1999-01-01 1999-10-21 -98.320706, 17.398031, -61.876841, 32.288483 https://cmr.earthdata.nasa.gov/search/concepts/C2089376009-NOAA_NCEI.umm_json "This accession contains a GIS database of Aids to Navigation in the Gulf of Mexico and coastal waters of Alabama, Florida, Louisiana, Mississippi and Texas. These data were compiled on 1999-10-21. The term ""Aids to Navigation"" (ATONS or AIDS) refers to a device outside of a vessel used to assist mariners in determining their position or safe course, or to warn them of obstructions. AIDS to navigation include lighthouses, lights, buoy, sound signals, landmarks, racons, radio beacons, LORAN, and omega. These include AIDS which are installed and maintained by the Coast Guard as well as privately installed and maintained aids (permit required). This does not include unofficial AIDS (illegal) such as stakes, PVC pipes, and such placed without permission. Each USCG District Headquarters is responsible for updating their database on an ""as needed"" basis. When existing AIDS are destroyed or relocated and new AIDS are installed the database is updated. Each AID is assigned an official ""light listing number"". The light list is a document listing the current status of ATONS and it is published and distributed on a regular basis. Interim changes to the light list are published in local Notices to Mariners which are the official means which navigators are supposed to keep their charts current. In addition, the USCG broadcasts Notices to Mariners on the marine band radio as soon as changes of the status of individual AIDS are reported. The light list number and local Notices to Mariners reports are suggested ways to keep the database current on a regular or even ""real time"" basis. However, annual (or more frequent) updates of the entire dataset may be obtained from each USCG District Headquarters. Geographic Information System (GIS) software is required to display the data in this NCEI accession." proprietary -gov.noaa.nodc:0000630_Not Applicable Baseline marine biological survey at Roi-Namur sewage outfall, United States Army Kwajalein Atoll, Republic of the Marshall Islands, 1997 (NCEI Accession 0000630) NOAA_NCEI STAC Catalog 1997-08-01 1997-08-31 167.44, 9.37, 167.46, 9.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089372128-NOAA_NCEI.umm_json Roi-Namur is located at the northernmost tip of Kwajalein Atoll, approximately 64 kilometers north of the U.S. Army Kwajalein Atoll (USAKA) central command post on Kwajalein Islet. Roi-Namur has a single sewage outfall, which is located at the northwestern corner of the islet. Originally, the outfall extended from shore to a point about halfway across the reef flat where the pipe ended abruptly as an upturned, uncapped elbow. Raw sewage was pumped through the pipe in pulses approximately every 15-20 minutes. Waves and shallow currents across the reef flat carried at least some of the effluent back toward shore and the lagoon, creating a potentially unhealthy situation. In order to correct this problem, USAKA implemented a plan to extend the original outfall all the way across the reef flat and into the open ocean where the predominant current flow would carry effluent-mixed waters away from the islet. Ultimately, the extended outfall was to be connected to a new sewage treatment facility that would discharge primarily treated effluent. Because of a concern that this discharge might adversely impact the coral-reef community surrounding the end of the new outfall, a baseline marine biological survey was to be conducted prior to start-up of the new sewage treatment facility. As planned, the results of this survey would provide a baseline against which the results of future surveys could be compared in order to determine whether a balanced community of indigenous species had been maintained at the site during operation of the facility. If not, conversion to secondary treatment at the facility would need to be considered. The first resurvey was planned to occur one year after start-up of the new sewage treatment facility with subsequent resurveys planned for every five years thereafter. In August 1997, biologists from the U.S. Fish and Wildlife Service (USFWS) and the National Marine Fisheries Service (NMFS) conducted the baseline marine biological survey in the vicinity of the Roi-Namur outfall. For the National Oceanographic Data Center, interest in the report focuses on the marine element. Data tables from marine surveys of reef fishes, corals, other macroinvertebrates, and algae that exist in those habitats are provided. proprietary -gov.noaa.nodc:0000670_Not Applicable Biological assessment of marine resources for the Republic of the Maldives, Indian Ocean, August, 2001 (NCEI Accession 0000670) NOAA_NCEI STAC Catalog 2001-08-22 2001-08-29 72.716667, 2.933333, 73.566667, 5.516667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372434-NOAA_NCEI.umm_json In August 2001, biologists from the U.S. Fish and Wildlife Service and the National Marine Fisheries Service were asked to conduct an assessment of the national government's capability to respond to major threats (e.g. anthropogenic and natural) to the marine habitat of the Republic of the Maldives. A marine survey was conducted at selected locations to assess impacts to the marine environment. Biologists documented reef fishes, corals, other macroinvertebrates, and algae, and provided general descriptions of the benthic community at each of four primary survey sites. proprietary -gov.noaa.nodc:0000703_Not Applicable Chemical, current meter, and other data from current meter, bottle, XBT, and CTD casts in the Gulf of Mexico as part of the Northeastern Gulf of Mexico Physical Oceanographic Program: Chemical Oceanography and Hydrography Study (NEGOM) project, 16 November 1997 to 08 August 2000 (NCEI Accession 0000703) NOAA_NCEI STAC Catalog 1997-11-16 2000-08-08 -89.94, 27.49, -82.83, 30.36 https://cmr.earthdata.nasa.gov/search/concepts/C2089372555-NOAA_NCEI.umm_json Chemical, current meter, and other data were collected using current meter, bottle, XBT, and CTD casts in the Gulf of Mexico from November 16, 1997 to August 8, 2000. Data were submitted by Texas A&M University as part of the Northeastern Gulf of Mexico Physical Oceanographic Program: Chemical Oceanography and Hydrography Study (NEGOM) project. proprietary -gov.noaa.nodc:0000732_Not Applicable Bacteria, carbon dioxide, and methane data from bottle casts in the Cariaco Basin on the continental shelf of Venezuela from the HERMANO GINES from 2000-05-03 to 2000-10-31 (NCEI Accession 0000732) NOAA_NCEI STAC Catalog 2000-05-03 2000-10-31 -64.66, 10.48, -64.65, 10.48 https://cmr.earthdata.nasa.gov/search/concepts/C2089372784-NOAA_NCEI.umm_json Bacteria, carbon dioxide, and methane data were collected employing bottle casts from the Hermano Gines in the Cariaco Basin on the continental shelf of Venezuela. Data were collected by the State University of New York - Stony Brook (SUNY) from 03 May 2000 to 31 October 2000. Bacteria data include rates of production of bacteria and flagellates. Abundances of remineralizers (bacteria) and regenerators (protozoa) were determined using microscopic censuses. Methane data includes rates of respiration and incorporation. Data are in a comma-seperated value (.csv) fromat. proprietary -gov.noaa.nodc:0000737_Not Applicable Bacteria, carbon dioxide, and methane data from bottle casts in the Cariaco Basin on the continental shelf of Venezuela from the HERMANO GINES from 2001-04-30 to 2001-05-01 (NCEI Accession 0000737) NOAA_NCEI STAC Catalog 2001-04-30 2001-05-01 -64.66, 10.48, -64.66, 10.48 https://cmr.earthdata.nasa.gov/search/concepts/C2089372826-NOAA_NCEI.umm_json Bacteria, carbon dioxide, and methane data were collected from bottle casts from the HERMANO GINES in the Cariaco Basin on the continental shelf of Venezuela. Data were collected from 30 April 2001 to 01 May 2001. Bacteria data include rates of production of bacteria and flagellates. Abundances of remineralizers (bacteria) and regenerators (protozoa) were determined using microscopic censuses. Methane data include rates of respiration and incorporation. Data was submitted by the State University of New York, Stony Brook, as a comma- seperated value (.csv) file. proprietary -gov.noaa.nodc:0000780_Not Applicable Biological, physical, nutrients, and other data were collected from bottle casts, CTD casts, net casts, and other instruments from the A.V. HUMBOLDT and the JOHAN HJORT from the Norwegian Sea in support of the Global Ocean Ecosystems Dynamics from 1993-06-02 to 1993-06-13 (NCEI Accession 0000780) NOAA_NCEI STAC Catalog 1993-06-02 1993-06-13 -80, 60, 30, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089373165-NOAA_NCEI.umm_json Bottle, CTD, net, and other data were collected from the A.V. HUMBOLDT and the JOHAN HJORT from the Norwegian Sea. Data were collected by multiple institutions in support of the Global Ocean Ecosystems Dynamics (GLOBEC) from 02 June 1993 to 13 June 1993. Bottle data include concentration profiles of chlorophyll a,b,c. CTD data include profiles of temperature and salinity. Net data include species identities and abundance of zooplankton. proprietary -gov.noaa.nodc:0000787_Not Applicable Chlorophyll data were collected by R/V Nathaniel B. Palmer on the western Antarctic shelf in support of the GLOBEC project, 2001-04 to 2001-06 (NCEI Accession 0000787) NOAA_NCEI STAC Catalog 2001-04-04 2001-06-01 -77.76, -70.63, -67.39, -65.65 https://cmr.earthdata.nasa.gov/search/concepts/C2089373201-NOAA_NCEI.umm_json GLOBEC (Global Ocean Ecosystem Dynamics) was initiated by SCOR and the IOC of UNESCO in 1991, to understand how global change will affect the abundance, diversity and productivity of marine populations comprising a major component of oceanic ecosystems. The aim of GLOBEC is to advance our understanding of the structure and functioning of the global ocean ecosystem, its major subsystems, and its response to physical forcing so that a capability can be developed to forecast the responses of the marine ecosystem to global change. proprietary -gov.noaa.nodc:0000794_Not Applicable A survey of selected coral and fish assemblages near the Waianae Ocean Outfall, Oahu, Hawaii, 1990-1999 (NCEI Accession 0000794) NOAA_NCEI STAC Catalog 1990-10-01 1999-08-31 -158.28, 21.41, -158.26, 21.43 https://cmr.earthdata.nasa.gov/search/concepts/C2089373252-NOAA_NCEI.umm_json During 1990-1999, coral growth and fish abundance were monitored at stations located at and in the vicinity of the Waianae Ocean Outfall. Comparisons of results with fish surveys showed no significant differences in the species composition or relative abundances of fish populations at Station W-2 (the sunken ship Mahi), which is located 1.2 km south of the diffuser. Fish abundance and species richness increased at Station W- 3, which is located at the diffuser, from 1990 to 1995, decreased in 1996, and increased again in 1997 through 1999. At Station WW, an inshore station located 0.8 km from shore, fish were abundant and speciose on the armor rock covering the pipeline. The fish species seen inshore are comparable to fish species seen in similar (boulder) natural biotopes around Hawaii. There were no significant differences in total mean coral cover at selected quadrats from 1994 to 1999 at Station W-2. However, there was a significant increase (approximately 8%) in total mean coral cover at this station from 1991 to 1999. At the diffuser, corals were seen growing on the diffuser pipe and on the riser discharge ports. In 1986, when the diffuser began operation at a discharge rate of 1.5 mgd (0.07 m3/s), no corals were seen at this location. At inshore station WW, corals off the pipeline were sparsely distributed but were numerous and thriving on the armor rock over the pipeline. In 1998 the inshore transect (Alpha), off the armor rock, was covered (30%) with the alga Dictyopteris plagiogramma; however, in 1999 it disappeared. This seaweed was also abundant at this location in 1995, 1996, and 1997. The water was clear at all stations surveyed (13 to 20 m horizontal visibility), and the surrounding sediments were clean and white. No significant deleterious effect due to outfall operation and discharge were seen on the biological community at the stations surveyed. The increase in fish diversity and abundance at the diffuser since 1997 may be due to natural fluctuations in abundance or to environmental conditions suitable to the fish populations living there. proprietary -gov.noaa.nodc:0000820_Not Applicable Bacteria Biomass and Chlorophyll-a depth profiles from bottle casts off the western Antarctic Peninsula from the R/V LAURENCE M. GOULD from 23 April 2001 to 01 September 2001 (NCEI Accession 0000820) NOAA_NCEI STAC Catalog 2001-04-29 2001-09-01 -72.42, -69.88, -67.04, -66.22 https://cmr.earthdata.nasa.gov/search/concepts/C2089373349-NOAA_NCEI.umm_json Bacteria and Chlorophyll data were collected from bottle cast of the western Antarctic peninsula from the R/V Laurence M. Gould. Data were collected by the University of Nevada/Desert Research Institute (DRI) in support of the Global Ocean Ecosystems Dynamic (GLOBEC) project from 23 April 2001 to 01 September 2001. Bacteria data include profiles of bacterial abundance and biomass. Chlorophyll-a data include concentration profiles. proprietary -gov.noaa.nodc:0000829_Not Applicable Broward County Florida thermographic data collected at twelve locations along four eastward lines that cross three offshore reef Tracks during the time period July 2000 to the present using self-recording temperature gauges (NCEI Accession 0000829) NOAA_NCEI STAC Catalog 2000-07-01 2002-11-30 -80.112007, 26.020458, -80.077343, 26.159952 https://cmr.earthdata.nasa.gov/search/concepts/C2089373393-NOAA_NCEI.umm_json "Broward County Florida has responsibility for the resource management of coral reefs in marine waters adjacent to Broward County. The Department of Planning and Environmental Protection is assigned the duties of monitoring the health of the coral reefs. Environmental stresses are a limiting factor in the biomass and diversity, and maintaining these populations of coral species requires an understanding of the environmental factors. One of these factors is the water temperature. Visual surveys are conducted by divers, and the staff has implemented an environmental monitoring program with water temperature as the first measured parameter. The monitoring program is on a ""not to interfere basis"" using self-recording thermographs for data acquisition. The thermographs are placed along coral reef tracks located in three separate bands near the northern most extent of the natural range for corals. The raw data are captured from the recorder by means of a laptop computer using transfer and conversion software provided by the instrument's vendor. Upon return to the office, the raw data are transferred to separate files that are then loaded into spreadsheet files. Each spreadsheet file corresponds to a single location and only one instrument. Twelve spreadsheet files are updated every sixty days for the dynamic raw data; the static geographical information is stored in a separate spreadsheet file." proprietary -gov.noaa.nodc:0000861_Not Applicable A Hydrographic Survey of the Scotia Sea, 15 March 1999 to 22 April 1999 (NCEI Accession 0000861) NOAA_NCEI STAC Catalog 1999-03-15 1999-04-22 -68.260333, -67.576667, -2.296667, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089373502-NOAA_NCEI.umm_json CTD and chemical data were collected using CTD and bottle casts in the Drake Passage and Scotia Sea from the JAMES CLARK ROSS. Data were collected from 15 March 1999 to 22 April 1999. Data were collected and submitted by the University of East Anglia with support of the Antarctic Large-scale Box Analysis and the Role of the Scotia Sea (ALBATROSS) project. proprietary -gov.noaa.nodc:0000879_Not Applicable Abundance data acquired in support of invasive species distribution studies at ten macroalgal ecology and taxonomic assessment sites in Hawaii during 2001 (NCEI Accession 0000879) NOAA_NCEI STAC Catalog 2001-01-26 2001-05-18 -158.14, 19.27, -155.05, 21.37 https://cmr.earthdata.nasa.gov/search/concepts/C2089373608-NOAA_NCEI.umm_json Abundance data represent estimates of percent cover of species type (coral or algal) in 10 randomly placed quadrats along two 50 meter transect lines of each site. Data are available for 10 sites from Oahu to the Island of Hawaii taken in 2001 in support of the Macroalgal Ecology and Taxonomic Assessment (TEAM) Project. The species for abundance estimates include 11 corals, 5 invertebrates, 33 algals, and 2 benthic types (turf or sand). The role that marine algae play in a coral reef system is often overlooked because of lack of knowledge that they are the primary producers in the system. The coral reef ecosystem in Hawaii contains about ten times more algal species than coral species, some of them regulating space that permits coral recruitment. The primary purpose of the TEAM research program is to provide taxonomic and ecological algal expertise for the Coral Reef Monitoring and Assessment Program (CRAMP). Our group also seeks to develop, implement and assess new methodologies for quantitatively surveying benthic algal communities in the Hawaiian Islands. proprietary -gov.noaa.nodc:0000918_Not Applicable Chemical data from bottle casts in the Arctic Ocean and other Sea areas by the University of Alaska, from 16 April 1948 to 17 September 2000 (NCEI Accession 0000918) NOAA_NCEI STAC Catalog 1948-04-16 2000-09-17 -71, 16, -80.123, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089373877-NOAA_NCEI.umm_json Chemical data were collected using bottle casts from multiple vessels in the Arctic Ocean and other Sea areas from 16 April 1948 to 17 September 2000. Data were submitted by the University of Alaska in Fairbanks, Alaska. Chemical data include alkalinity, nitrate, nitrite, oxygen, silicate, and phosphate. proprietary -gov.noaa.nodc:0000931_Not Applicable Aerial surveys of ringed seals (Phoca hispida) on fast and pack ice in the central Beaufort Sea of Alaska, 1985-1987 and 1996-1999 (NCEI Accession 0000931) NOAA_NCEI STAC Catalog 1985-05-28 1999-06-04 -156.9983, 69.6517, -141.025, 71.865 https://cmr.earthdata.nasa.gov/search/concepts/C2089373928-NOAA_NCEI.umm_json These datasets include counts of ringed seals (Phoca hispida) and other marine mammals made during aerial surveys of ringed seals on fast and pack ice of the central Alaskan Beaufort Sea during 1985-1987 and 1996-1999. The datasets includes counts of seals, by group; designation of whether seals were at holes or along cracks; ice conditions including ice deformation and ice type (fast ice or pack ice); weather conditions; time of observations, and location of observations. proprietary -gov.noaa.nodc:0000999_Not Applicable Chlorophyll data collected by the research vessels Nathaniel B. Palmer and Laurence M. Gould in support of the Southern Ocean studies of the GLOBEC project, May - September 2002 (NCEI Accession 0000999) NOAA_NCEI STAC Catalog 2002-04-14 2002-09-12 -77.76, -69.44, -65.5, -65.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089374535-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001063_Not Applicable Anthropogenic and natural stresses on coral reefs in Hawaii: a multi-decade synthesis of impact and recovery from 1973 to 2002 (NCEI Accession 0001063) NOAA_NCEI STAC Catalog 1973-01-01 2002-12-31 -155.95, 19.48, -155.5, 22.22 https://cmr.earthdata.nasa.gov/search/concepts/C2089374816-NOAA_NCEI.umm_json In 2002, quantitative photo-transect surveys documenting coral community structure off six coastal sites in Hawaii were repeated to complete longterm data sets of 12 to 30 years duration. Study sites included areas fronting resort development, active and inactive sewage outfalls, and an area where there is no anthropogenic activity, but has been subjected to a variety of storm events. At the only site within a semi-enclosed embayment erosion from surrounding pineapple fields resulted in a decrease in living coral. Such periodic sedimentation in the Bay drives a cycle of damage and recovery that results in coral community structure different than other sheltered embayments in Hawaii. At the other five sites, located in open coastal waters, coral community structure was not adversely affected by shoreline development or discharge of treated sewage effluent. Long-term studies of pristine reefs under natural stress from episodic storms indicate that recovery along the successional continuum varies with time in the different reef zones. The results of these studies provide a framework for effective and efficient coral reef management in Hawaii. Understanding patterns of natural and maninduced stress and recovery can provide a good model for management strategies, as anthropogenic impacts are superimposed over natural stresses. Our results provide good evidence that management efforts should be concentrated in embayments and areas with restricted circulation. Because such areas comprise less than 10% of the coastal areas, it is concluded that the overall condition of coral reefs in Hawaii is good, and should remain so. While concerns of catastrophic loss from anthropogenic impact to coral reefs are valid in some areas of the world, they do not accurately depict the overall health of coral reefs in Hawaii. proprietary -gov.noaa.nodc:0001078_Not Applicable Bacteria, carbon dioxide and methane measurements in the Cariaco Basin on the continental shelf of Venezuela, April 2001 - January 2002 (NCEI Accession 0001078) NOAA_NCEI STAC Catalog 2001-04-30 2002-01-17 -64.66, 10.48, -64.66, 10.48 https://cmr.earthdata.nasa.gov/search/concepts/C2089374867-NOAA_NCEI.umm_json Bacteria, carbon dioxide and methane measurements were collected using bottle casts in the Cariaco Basin on the continental shelf of Venezuela from 30 April 2001 to 17 January 2002. Data were submitted by Dr. Mary Scranton of State University of New York in Stony Brook with support from the CArbon Retention In A Colored Ocean (CARIACO) project. proprietary -gov.noaa.nodc:0001102_Not Applicable Chlorophyll and phaeophytin data collected in the Southern Oceans in support of the Global Ocean Ecosystem Dynamics project, 2001-07 to 2001-08 (NCEI Accession 0001102) NOAA_NCEI STAC Catalog 2001-07-27 2001-08-25 -75.68, -69.3, -67.68, -65.64 https://cmr.earthdata.nasa.gov/search/concepts/C2089374917-NOAA_NCEI.umm_json Underway meteorological data were collected during NBP01 04 to help document the surface weather conditions encountered during the cruise and to characterize the surface forcing fields in the SO GLOBEC study area during austral winter. The N.B.Palmer (NBP) arrived near the start of the large scale physical-biological survey on 27 July 2001 (YD 208) and left the area to survey the sea ice edge to the north on 26 August 2001 (YD 238). A full suite of meteorological data was collected during this 30-day period. This report provides a preliminary description of the meteorological data collected on NBP01 04 and some initial results concerning the surface forcing during winter. The estimation of primary production has three main objectives: (1) estimation of primary productivity rates during fall and winter in the area of study as a possible source of food for krill and other zooplanktors; (2) understanding the meso-scale patterns of phytoplankton distribution with respect to physical, chemical and biological processes; (3) obtaining insight into the over-wintering dynamics of phytoplankton, including their interaction with sea ice communities. For this purpose, primary production was measured with two methods during this cruise: Photosynthesis versus Irradiance (PI) curves to estimate potential primary production and information on the dynamics of light adaptation; and finally, profiles with a Fast Repetition Rate Fluorometer (FRRF), with the aim to increase resolution in the sampling of phytoplankton activity, and the expectation of modeling primary production with this method using 14C experiments as comparison. A third approach, that of estimating daily net production with simulated in situ (SIS) experiments, was seldom performed as low irradiance levels precluded any positive carbon uptake rates. Additionally, measurements of chlorophyll and particulate carbon (POC) were taken for estimates of phytoplankton biomass, and irradiance collected from surface and profiling Photosynthetically Available Radiation (PAR) sensors. proprietary -gov.noaa.nodc:0001114_Not Applicable Biodiversity of freshwater and estuarine communities in lower Pearl Harbor, Oahu, Hawaii with observations on introduced species: summary from fieldwork conducted in 1997 - 1998 (NCEI Accession 0001114) NOAA_NCEI STAC Catalog 1997-11-03 1998-11-04 -158.02, 21.33, -157.94, 21.39 https://cmr.earthdata.nasa.gov/search/concepts/C2089374966-NOAA_NCEI.umm_json The Pearl Harbor Biodiversity Project was funded by the Department of Defense Legacy Program, through the U. S. Navy. The project was performed in two phases. The purpose of the project was to document the history, cause, and extent of non-native species introductions in the freshwater streams and estuarine areas of Pearl Harbor. Phase I of the study was conducted from November 1995 through June 1997. Phase I involved investigations of the marine organisms of Pearl Harbor, with emphasis on detection of nonindigenous marine organisms that may have become established in the harbor over the past century. Fieldwork for the Phase II investigations commenced in November 1997 and ended in October 1998. Phase II studies investigated the estuarine and freshwater areas of the mouths of streams that enter the harbor's three main lochs. Data were taken at 16 stations. This dataset contains observations from Phase II (as an .mdb data base and as .csv and .xsl spreadsheets and .jpg images). proprietary -gov.noaa.nodc:0001155_Not Applicable Biological, physical, nutrients, sediment, and other data from sediment sampler-grab, bottle, and CTD casts in the Arabian Sea, Equatorial Pacific Ocean, Northeast Atlantic Ocean, and Southern Oceans as part of the Long Term Monitoring East-West Flower Garden Banks project from 08 January 1995 to 08 April 1998 (NCEI Accession 0001155) NOAA_NCEI STAC Catalog 1995-01-08 1998-04-08 -26.0615, -78.0498, -132.9752, 62.9483 https://cmr.earthdata.nasa.gov/search/concepts/C2089375072-NOAA_NCEI.umm_json Biological, physical, nutrients, sediment, and other data were collected using sediment sampler-grab, bottle and CTD casts in the Arabian Sea, North/South Pacific Ocean, and North Atlantic Ocean from 08 January 1995 to 08 April 1998. Data were submitted by Woods Hole Oceanographic Institution as part of the Long Term Monitoring East-West Flower Garden Banks project. Biological data include detailed information on phytoplankton and zooplankton. Nutrients data includes nitrate, nitrite, phosphate, and silicate. The U.S. Joint Global Ocean Flux Study (U.S. JGOFS), conceived in 1984 and organized as a major ocean research program shortly thereafter, has conducted field and modeling investigations of the global ocean carbon cycle and the processes that regulate it for a decade and a half. It has brought together biological, chemical, physical and geological oceanographers and modelers in a multidisciplinary investigation of the pools and fluxes of carbon and associated biogenic elements in the ocean. U.S. JGOFS is a component of the international Joint Global Ocean Flux Study (JGOFS), launched in 1987 under the aegis of the Scientific Committee on Oceanic Research (SCOR). Designated a core project of the International Geosphere-Biosphere Programme (IGBP) two years later, JGOFS has involved scientists from more than 30 countries in field and modeling studies. Its research program included national and international process studies conducted in many ocean basins, time-series programs and a global survey of carbon dioxide (CO2) in the ocean. The U.S. JGOFS research program comprised four basin-scale process studies, two long-term time-series programs, participation in a global survey of (CO2) and a synthesis and modeling project. This CD-ROM contains the data acquired during the four U.S. JGOFS process studies, conducted in the North Atlantic, the equatorial Pacific, the Arabian Sea and the Southern Ocean. Data from other components of U.S. JGOFS will be published in future volumes. proprietary -gov.noaa.nodc:0001280_Not Applicable Chlorophyll data from bottle from the R/V Alpha Helix Cruise No. 177 from May-June 1994 (NCEI Accession 0001280) NOAA_NCEI STAC Catalog 1994-05-08 1994-06-08 -179.2, 57, -166, 64 https://cmr.earthdata.nasa.gov/search/concepts/C2089375402-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001283_Not Applicable Chlorophyll bottle data from the R/V Alpha Helix Cruise No. 139 in the Bering Sea in June 1990 (NCEI Accession 0001283) NOAA_NCEI STAC Catalog 1990-06-11 1990-06-19 -170, 60, -168, 63 https://cmr.earthdata.nasa.gov/search/concepts/C2089375421-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001284_Not Applicable Chlorophyll data from bottle from the R/V Alpha Helix Cruise No. 224 in the Bering Sea in September 1999 (NCEI Accession 0001284) NOAA_NCEI STAC Catalog 1999-09-13 1999-09-26 -175, 62, -170, 63.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089375433-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001329_Not Applicable Benthic Surveys for Ground Truthing of Coastal Benthic Mapping in the Main Eight Hawaiian Islands 2001 - 2002 (NCEI Accession 0001329) NOAA_NCEI STAC Catalog 2001-01-01 2002-12-31 -160.25, 18.91, -154.81, 22.22 https://cmr.earthdata.nasa.gov/search/concepts/C2089375652-NOAA_NCEI.umm_json The National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) initiated a coral reef research program in 1999 to map, assess, inventory, and monitor U.S. coral reef ecosystems. These activities were implemented in response to requirements outlined in the Mapping Implementation Plan developed by the Mapping and Information Synthesis Working Group (MISWG) of the Coral Reef Task Force (CRTF). As part of the MISWG of the CRTF, NOS's Biogeography Team has been charged with the development and implementation of a plan to produce comprehensive digital coral-reef ecosystem maps for all U.S. States, Territories, and Commonwealths within five to seven years. Joint activities between Federal agencies are particularly important to map, research, monitor, manage, and restore coral reef ecosystems. In response to the Executive Order 13089, NOS is conducting research to digitally map biotic resources and coordinate a long-term monitoring program that can detect and predict change in U.S. coral reefs, and their associated habitats and biological communities. Most U.S. coral reef resources have not been digitally mapped at a scale or resolution sufficient for assessment, monitoring, and/or research to support resource management. Thus, a large portion of NOS' coral reef research activities have focused on mapping of U.S. coral reef ecosystems. The map products will provide the fundamental spatial organizing framework to implement and integrate research programs and provide the capability to effectively communicate information and results to coral reef ecosystem managers. Although the NOS coral program is relatively young, it has had tremendous success in advancing towards the goal to protect, conserve, and enhance the health of U.S. coral reef ecosystems. One objective of the program was to create benthic habitat maps to support coral reef research to enable development of products that support management needs and questions. Therefore this product was developed in collaboration with many Hawaiian partners, including Hawaii's Department of Land and Natural Resources, a leading coral reef management agency. An initial step in producing benthic habitat maps is the development of a habitat classification scheme. This dataset focuses on the in situ data used to ground truth the mapping efforts on the main Hawaiian Islands: Hawaii, Maui, Molokai, Lanai, Oahu, Kauai, and Niihau. proprietary -gov.noaa.nodc:0001334_Not Applicable Biological, chemical, and physical data from CTD/XCTD from five Japanese R/Vs in the North Pacific Ocean from January to December 2002 (NCEI Accession 0001334) NOAA_NCEI STAC Catalog 2002-01-01 2002-12-31 179, 0, 130, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089375689-NOAA_NCEI.umm_json Temperature profile, nutrients, and other data were collected using XCTD and CTD casts from KOFU MARU and other platforms in the North Pacific Ocean from 01 January 2002 to 31 December 2002. Data were collected and submitted by Japan Meteorological Agency (JMA). proprietary -gov.noaa.nodc:0001344_Not Applicable Chlorophyll and Plankton data from the Indian National Institute of Oceanography collected by bottle and CTD from 1951 to 1997 for the Indian Ocean and Arabian Sea areas (NCEI Accession 0001344) NOAA_NCEI STAC Catalog 1951-01-01 1997-12-31 160, -50, 30, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089375772-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001410_Not Applicable Bathymetric Survey of the West Florida Shelf, Gulf of Mexico 2001 (NCEI Accession 0001410) NOAA_NCEI STAC Catalog 2001-09-03 2001-10-12 -86.71, 28.04, -84.61, 30.06 https://cmr.earthdata.nasa.gov/search/concepts/C2089376038-NOAA_NCEI.umm_json A zone of deep-water reefs is thought to extend from the mid and outer shelf south of Mississippi and Alabama to at least the northwestern Florida shelf off Panama City, Florida. Reefs off Mississippi and Alabama are found in water depths of 60 to 120 m (Ludwick and Walton, 1957, Gardner et al., in press) and were the focus of a multibeam echosounder mapping survey by the U.S. Geological Survey (USGS) in 2000 (Gardner et al., 2000, in press). It is critical to determine the accurate geomorphology and type of the reefs that occur because of their importance as benthic habitats for fisheries. These data are ArcInfo GRID and XYZ ASCII format data generated from a U.S. Geological Survey multibeam sonar survey of the West Florida Shelf, Gulf of Mexico. The data include high-resolution bathymetry and calibrated acoustic backscatter. File types include arc files .dat, .nit, and .adf. Documentation is included as metadata .txt files. Because the area is so large (i.e., the file sizes are very large), the area was subdivided into North, Central, and South regions as reflected in the data subdirectories for this accession. proprietary -gov.noaa.nodc:0001419_Not Applicable Assessment of Nonindigenous Species on Coral Reefs in the Hawaiian Islands, with Emphasis on Introduced Invertebrates, November 2, 2002 - November 5, 2003 (NCEI Accession 0001419) NOAA_NCEI STAC Catalog 2002-11-02 2003-11-05 -159.65, 19.5, -155.83, 21.96 https://cmr.earthdata.nasa.gov/search/concepts/C2089376077-NOAA_NCEI.umm_json Coral reefs on the islands of Kauai, Molokai, Maui, Hawaii and Oahu were surveyed for the presence and impact of marine nonindigenous and cryptogenic species (NIS) using a rapid assessment method that standardized search effort for approximately 312 m2 at each site. A total of 41 sites were surveyed by three investigators for a total of approximately 120 hours search time on the five islands. Algae, invertebrate, and fish taxa were identified on site or returned to laboratory for identity confirmation. Only 26 NIS, comprised of three species of algae, 19 invertebrates, and four fishes were recorded from a total of 486 total taxa on the entire study, and 17 of the NIS occurred at only one or two sites. The most NIS that occurred at any site was six, and 21 of the sites had less than three. If the three species of fish that were introduced in the 1950s and known to occur throughout Hawaii are excluded, over half the sites had less than two NIS. proprietary -gov.noaa.nodc:0001624_Not Applicable Bottle and Pumpcast data collected by CTD casts from the R/V Knorr during cruises 2 through 5 of the 1988 Black Sea Oceanographic Expedition (NCEI Accession 0001624) NOAA_NCEI STAC Catalog 1988-05-14 1988-07-29 28, 41, 42, 46 https://cmr.earthdata.nasa.gov/search/concepts/C2089372426-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001746_Not Applicable ALINE time series (NCEI Accession 0001746) NOAA_NCEI STAC Catalog 1989-01-01 2001-01-01 141, 37, 150, 44 https://cmr.earthdata.nasa.gov/search/concepts/C2089372824-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0001756_Not Applicable Assessment of economic benefits and costs of marine managed areas in Hawaii, 1998 - 2003 (NCEI Accession 0001756) NOAA_NCEI STAC Catalog 1998-01-01 2003-12-31 -158.9, 18.8, -154.9, 22.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089372862-NOAA_NCEI.umm_json "This dataset combines the research results from a number of papers carried out under the study ""Assessment of Economic Benefits and Costs of Marine Managed Areas in Hawaii"". The studies included a paper on the fisheries benefits of MMAs (Friedlander and Cesar, 2004), a write-up of the recreational survey at the MMA sites (Van Beukering and Cesar, 2004), a background on the institutional/regulatory framework on MMAs in Hawaii (Cesar, 2004), a paper on the economic value and cost-benefit analysis of management options for MMAs (Van Beukering and Cesar, 2004) and a paper on the international experience of sustainable financing of MMAs (Cesar and van Beukering, 2004). This dataset is basically a set of MS Word documents with mostly social-economic data embedded within tables. The habitat and fish data in this dataset are drawn from other datasets already in the NOAA archives, the NOAA Benthic Habitat Maps and the Coral Reef Assessment and Monitoring Program (CRAMP), respectively." proprietary -gov.noaa.nodc:0001941_Not Applicable Aerial surveys of bowhead and beluga whales along with incidental sighting of other marine mammals in the Bering, Beaufort and Chukchi Seas for the Bowhead Whale Aerial Survey Project (BWASP), 1979 - 2004 (NCEI Accession 0001941) NOAA_NCEI STAC Catalog 1979-04-01 2004-10-18 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373265-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary -gov.noaa.nodc:0002013_Not Applicable A mesoscale hydrographic survey off Northwest Africa to examine the horizontal mixing by eddies, March - April 2003 (NCEI Accession 0002013) NOAA_NCEI STAC Catalog 2003-03-26 2003-04-16 -31.5, 6.6, -25, 11 https://cmr.earthdata.nasa.gov/search/concepts/C2089373546-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0002170_Not Applicable 22 Real-time XBT replacements assembled by Canada Department of Fisheries and Oceans (DFO) for the Global Temperature-Salinity Profile Program (GTSPP), dates ranging from 05/26/2004 to 05/27/2004 (NCEI Accession 0002170) NOAA_NCEI STAC Catalog 2004-05-27 2004-05-27 9.106, 31.684, 33.058, 44.043 https://cmr.earthdata.nasa.gov/search/concepts/C2089373990-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0002192_Not Applicable A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico from 1999 to 2002 (NCEI Accession 0002192) NOAA_NCEI STAC Catalog 1999-09-01 2002-08-25 -96.01, 23.49, -85.47, 29.38 https://cmr.earthdata.nasa.gov/search/concepts/C2089374092-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary -gov.noaa.nodc:0002193_Not Applicable A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002193) NOAA_NCEI STAC Catalog 1999-09-01 2002-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374098-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary -gov.noaa.nodc:0002196_Not Applicable Acoustic doppler current meter data collected in support of the Minerals Management Service-supported Deep Water Program in the the Gulf of Mexico, 1999 - 2003 (NCEI Accession 0002196) NOAA_NCEI STAC Catalog 1999-09-01 2003-08-01 -96, 23.47, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374197-NOAA_NCEI.umm_json "A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled ""The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology."" Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation." proprietary -gov.noaa.nodc:0002198_Not Applicable A survey to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002198) NOAA_NCEI STAC Catalog 1999-09-01 2002-08-01 -96, 23.49, -85.47, 29.33 https://cmr.earthdata.nasa.gov/search/concepts/C2089374298-NOAA_NCEI.umm_json A research program has been initiated by the Minerals Management Service (Contract No.1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology. Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation. proprietary -gov.noaa.nodc:0002199_Not Applicable Biological, chemical, and physical data from CTD/XCTD from five Japanese R/Vs in the North Pacific Ocean and other marginal basins from 1993 to 2003 (NCEI Accession 0002199) NOAA_NCEI STAC Catalog 1993-01-01 2003-12-31 179, 20, 130, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2089374415-NOAA_NCEI.umm_json The Japan Meteorological Agency (JMA) has been carrying out oceanographic and marine meteorological observations on board research vessels, at the coastal water temperature observation stations and by ocean data buoys, for the purposes of the better understanding of dynamical processes of the oceanic general circulation affecting climate change, prevention and mitigation of natural disasters, and contributing to international cooperative activities. This Data Report contains the data obtained from the observations made by JMA in 2003 together with the explanations. The observations include the followings: 1. Oceanographic and Marine Meteorological Observations on board Research Vessels Oceanographic observations are conducted in the seas adjacent to Japan and in the western North Pacific on board five vessels: Ryofu Maru, Keifu Maru, Kofu Maru, Chofu Maru and Seifu Maru. 2. Coastal Water Temperature Observations JMA has carried out water temperature observations at the coastal stations. Historical time series of 10 day and monthly mean temperatures, daily observations and hourly observations are available in this CD-ROM. 3. Ocean Data Buoy Observations Operational ocean data buoy observations have been made to obtain marine meteorological and oceanographic observations in the seas around Japan. Correspondence relating to this Data Report may be directed to: Marine Division Climate and Marine Department Japan Meteorological Agency 1-3-4 Otemachi, Chiyoda-ku, Tokyo, 100-8122 JAPAN Facsimile: +81-3-3211-6908 E-mail: seadata@hq.kishou.go.jp proprietary -gov.noaa.nodc:0002270_Not Applicable Assessment of nonindigenous marine species in harbors and nearby coral reefs on Kauai, Molokai, Maui, and Hawaii, 2002 - 2003 (NCEI Accession 0002270) NOAA_NCEI STAC Catalog 2002-11-02 2003-06-28 -159.59, 19.73, -155.02, 21.96 https://cmr.earthdata.nasa.gov/search/concepts/C2089374772-NOAA_NCEI.umm_json Collections and observations in 2002-2003 at harbor and nearby reef sites at Nawilwili and Port Allen, Kauai; Hale O Lono and Kaunakakai, Molokai; Kahului and Maalaea, Maui; and Kawaihae and Hilo, Hawaii recorded a total of 1039 taxa of marine algae, invertebrates, and fishes, 872 of which were identified to the species level. Of these 11 were new reports for Hawaii and 112 were identified as introduced or cryptogenic species (NIS), for an overall NIS component of 10.9% of the total taxa recorded. Contrasting patterns were found between the distributions of the total identified taxa and NIS, with greater numbers of total taxa occurring at reef stations and greater numbers of NIS occurring in harbors, where they composed up to 36% of the total identified taxa. Occurrence and abundance of NIS decreased systematically from maxima in highly used commercial harbors which are isolated from oceanic circulation to relatively exposed small boat harbors to fully exposed reef sites. Only a few NIS that frequently occurred at harbor sites also occurred at reef sites. These results concur with previous studies in Hawaii and the tropical Pacific that have indicated NIS to show maximum numbers in harbors and embayments with restricted oceanic circulation and few introduced or cryptogenic species to occur on coral reefs or other ocean exposed environments. proprietary -gov.noaa.nodc:0002295_Not Applicable A survey by Texas A & M University to characterize the principal components of benthic communities over the entire northern Gulf of Mexico, 1999 - 2002 (NCEI Accession 0002295) NOAA_NCEI STAC Catalog 1999-09-01 2002-08-20 -92.01, 23.79, -85.49, 25.49 https://cmr.earthdata.nasa.gov/search/concepts/C2089374863-NOAA_NCEI.umm_json A research program has been initiated by the Minerals Management Service (Contract No. 1435-01-99-CT-30991) to gain better knowledge of the benthic communities of the deep Gulf of Mexico entitled The Deepwater Program: Northern Gulf of Mexico Continental Slope Habitat and Benthic Ecology. Increasing exploration and exploitation of fossil hydrocarbon resources in the deep-sea prompted the Minerals Management Service of the U.S. Department of the Interior to support an investigation of the structure and function of the assemblages of organisms that live in association with the sea floor in the deep-sea. The program, Deep Gulf of Mexico Benthos or DGoMB, is studying the northern Gulf of Mexico (GOM) continental slope from water depths of 300 meters on the upper continental slope out to greater than 3,000 meters water depth seaward of the base of the Sigsbee and Florida Escarpments. The study is focused on areas that are the most likely targets of future resource exploration and exploitation. proprietary -gov.noaa.nodc:0002316_Not Applicable Biological and other data collected from bottle casts in the NW Atlantic Ocean from HERMANO GINES from 16 January 2002 to 18 May 2004 (NCEI Accession 0002316) NOAA_NCEI STAC Catalog 2002-01-16 2004-05-18 -64.66, 10.48, -64.65, 10.48 https://cmr.earthdata.nasa.gov/search/concepts/C2089374930-NOAA_NCEI.umm_json Data collected in support of the CARIACO program, which is studying the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin on the continental shelf of Venezuela. Data were collected from 16 January 2002 to 18 May 2004. proprietary -gov.noaa.nodc:0002352_Not Applicable ARGO profiling float temperature, salinity, and oxygen data measurements collected using profiling floats in the World Ocean from 1996 to 2005 (NCEI Accession 0002352) NOAA_NCEI STAC Catalog 1996-01-05 2005-08-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089375016-NOAA_NCEI.umm_json The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about ARGO, see http://www.argo.ucsd.edu (last accessed December 2003)). Argo data archived by the USNODC on a weekly basis starting the second quarter of FY 2003, may include real-time and/or delayed mode profiles of ocean temperature and salinity, as well as related conductivity and/or pressure measurements (if any), collected by Argo profiling floats. proprietary -gov.noaa.nodc:0002449_Not Applicable Bottle data collected for chemical analysis along the coastal waters of Hawai'i as part of the Windward Community College Heeia Stream and Kaneohe Bay Water Quality Assessment Project from May 22, 2004 to March 19, 2005 (NCEI Accession 0002449) NOAA_NCEI STAC Catalog 2004-05-22 2005-03-19 -157.8164, 21.4175, -157.8078, 21.4483 https://cmr.earthdata.nasa.gov/search/concepts/C2089375205-NOAA_NCEI.umm_json Measurements of water quality parameters were taken by Windward Community College faculty and students at eight sites in the Heeia Stream and adjacent Kaneohe Bay waters from May 2004 through March 2005. Parameters include Combined Nitrogen, Photo Oxidized Nitrate, Photo Oxidized Nitrite, Total Nitrogen, and Total Phosphate. Data provided as MS Excel spreadsheets and redundant ASCII copies were made of each with same file name except for a CSV (Comma Separated Version) extension. proprietary -gov.noaa.nodc:0002602_Not Applicable Assessment of invasiveness of the Orange Keyhole Sponge, Mycale Armata, in Kaneohe Bay Oahu, Hawaii, based on surveys 2004-2005 (NCEI Accession 0002602) NOAA_NCEI STAC Catalog 2004-01-02 2005-12-31 -157.85, 21.41, -157.76, 21.51 https://cmr.earthdata.nasa.gov/search/concepts/C2089375498-NOAA_NCEI.umm_json The Orange Keyhole Sponge, Mycale armata Thiele, was unknown in Hawaii prior to 1996. First reported in Pearl Harbor, it now occurs in virtually every commercial harbor in the main Hawaiian islands, where it can be a major component of the fouling community on harbor piers and jetties. It has been reported from a few coral reef locations near harbors, but in Kaneohe Bay it has become a major component of the benthic biota in the south bay in the last 5-10 years. A study was conducted in 2004-2005 to determine Mycale armata's distribution, abundance throughout the bay, its growth rates on permanent quadrats, and whether mechanical removal would be an effective management technique for its control. Results from 190 manta board surveys on 28 reefs and paired 25 m belt transects using photo quadrats on 19 reefs indicated that the sponge had maximal coverage in the south-central part of the bay, in the vicinity of Coconut Island. proprietary -gov.noaa.nodc:0002650_Not Applicable A survey of the marine biota of the island of Lanai, Hawaii, to determine the presence and impact of marine non-indigenous and cryptogenic species, February - March 2005 (NCEI Accession 0002650) NOAA_NCEI STAC Catalog 2005-02-28 2005-03-04 -157.05, 20.73, -156.88, 20.92 https://cmr.earthdata.nasa.gov/search/concepts/C2089375642-NOAA_NCEI.umm_json A baseline survey of the marine biota of the island of Lanai was conducted in May 2005. This was first comprehensive study that has been made on this island for all components of its marine nearshore community. Samples and observations were taken at seven sites around the island, and all macroalgae, macroinvertebrates and fish species collected or observed were recorded. On-site observations without collections were made at two other sites. Identified species were designated as native, nonindigenous (introduced) or cryptogenic (neither demonstrably native nor introduced) according to criteria used for previous introduced species surveys in Hawaii. A total of 294 taxa were observed or identified from collected specimens, which included 16 introduced or cryptogenic species and three new reports for the Hawaiian Islands. The 16 introduced and cryptogenic species comprised 5.4% of the total identified taxa and included seven cnidarians, one polychaete, two pericards, one decapod, one bryozoan, two ascidians and three fish. By station, the introduced/cryptogenic component ranged 3 to 7 species and 3.8% to 6.8% of the total biota. The stations included two sites at or near Kaumalapau Harbor, Lanai's principal harbor for inter-island shipping. The percent component values are similar to those that have been determined on ocean-exposed reef areas elsewhere in the Hawaiian Islands but the harbor value is well below the values in other Hawaiian harbors that are more isolated from open ocean circulation than Kaumalapau Harbor. No invasive introduced algae and only two invasive introduced invertebrates were found on the surveys. These were a single colony of the octocoral Carijoa riisei in the vicinity of Cathedrals between Manele Bay and Harbor, and a single stomatopod Gonodactylaceous falcatus at the site closest to Manele Harbor. proprietary -gov.noaa.nodc:0002805_Not Applicable Chlorophyll data collected from the old outfall site in the south sector of Kaneohe Bay, Oahu, Hawaii, February 2001 to May 2004 (NCEI Accession 0002805) NOAA_NCEI STAC Catalog 2001-02-07 2004-05-26 -157.77, 21.41, -157.77, 21.41 https://cmr.earthdata.nasa.gov/search/concepts/C2089376053-NOAA_NCEI.umm_json Kaneohe Bay received increasing amounts of sewage from the 1950s through 1977. Most sewage was diverted from the bay in 1977 and early 1978. Data were collected beginning in September 1976 and continued until June 1979. The time series was re-established in June 1982 and continued to December 2005, when it was terminated. The sampling was at 1 m depth in the south sector of Kaneohe Bay, Oahu near the old outfall that ceased in 1977. Previous NODC Accessions 0000396 (1976-1979) and 0000422 (1982-1/2001) contained monthly averages of chlorophyll a, based on weekly to bi-weekly samples. This data set has the weekly to bi-weekly chlorophyll a, pheo, water temperature, secchi depth, and sample site depth. Additional data were taken from June 2004 - December 2005 and these will be available in a separate data set. proprietary -gov.noaa.nodc:0013170_Not Applicable Chemical and biological data collected as part of the CArbon Retention In A Colored Ocean (CARIACO) program in the Cariaco Basin off the coast of Venezuela, January 17, 2005 - January 16, 2006 (NCEI Accession 0013170) NOAA_NCEI STAC Catalog 2005-01-17 2006-01-16 -65.56, 10.45, -64.65, 10.66 https://cmr.earthdata.nasa.gov/search/concepts/C2089372614-NOAA_NCEI.umm_json Chemical and biological data were collected using bottle casts on the continental shelf of Venezuela from the HERMANO GINES from January 17, 2005 to January 16, 2006. Data were collected and submitted by Dr. Mary Scranton of Stony Brook University with support from the CArbon Retention In A Colored Ocean (CARIACO) program. proprietary -gov.noaa.nodc:0014123_Not Applicable Chemical and physical profile data collected from CTD casts from 01 January 2003 to 01 October 2005 aboard the F. G. WALTON SMITH in the Straits of Florida (NCEI Accession 0014123) NOAA_NCEI STAC Catalog 2003-01-01 2005-10-01 -81.299667, 23.249833, -79.017833, 25.627167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372909-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0014906_Not Applicable Aerial sightings of bowhead whales and other marine mammals by the US Department of the Interior's Minerals Management Service, 1979 - 2006, in the Bering, Chukchi and Beaufort Seas (NCEI Accession 0014906) NOAA_NCEI STAC Catalog 1979-04-01 2006-10-31 -174.01, 57.72, -125.25, 76.14 https://cmr.earthdata.nasa.gov/search/concepts/C2089373613-NOAA_NCEI.umm_json "The Minerals Management Service (MMS), previously Bureau of Land Management, has funded fall bowhead whale aerial surveys in this area each year since 1978, using a repeatable protocol from 1982 to the present. Bowhead monitoring by MMS Environmental Studies Section, Alaska Outer Continental Shelf (OCS) Region, normally overlaps the September-October ""open-water"" season when offshore drilling and geophysical exploration are feasible and when the fall subsistence hunt for bowhead whales takes place near Kaktovik, Nuiqsut, and Barrow, Alaska. The primary survey aircraft was a de Havilland Twin Otter Series 300. The aircraft was equipped with three medium-size bubble windows that afforded complete viewing of the track-line. Geographic positions of the aircraft were logged onto a laptop computer from a Global Navigation System (1982-1991) or a Global Positioning System (1992-2000). Prior to 1992, many surveys in Block 12 (See Browse Graphic) were conducted from a Grumman Turbo Goose Model G21G. All bowhead (and beluga) whales observed were recorded, along with incidental sightings of other marine mammals. Particular emphasis was placed on regional surveys to assess large-area shifts in the migration pathway of bowhead whales and on the coordination of effort and management of data necessary to support seasonal offshore-drilling and seismic-exploration regulations. The selection of survey blocks to be flown on a given day was nonrandom, based primarily on criteria such as observed and predicted weather conditions over the study area and offshore oil-industry activities. Otherwise, the project attempted to distribute effort fairly evenly east-to-west across the entire study area. Aerial coverage favored inshore survey blocks (See Browse Graphic), since bowheads were rarely sighted north of these blocks in previous surveys (1979-1986). Surveys were flown at a target altitude of 458 m in order to maximize visibility and to minimize potential disturbance to marine mammals. Flights were normally aborted when cloud ceilings were consistently less than 305 m or the wind force was consistently above Beaufort 4. Daily flight patterns were based on sets of non-repeating transect grids computer-generated for each survey block. Transect grids were derived by dividing each survey block into sections 30 minutes of longitude across. One of the minute marks along the northern edge of each section was selected at random then connected by a straight line to a similarly selected endpoint along the southern edge of that same section. This procedure was followed for all sections of that survey block. These transect legs were then connected alternately at their northernmost or southernmost ends to produce one continuous flight grid within each survey block. Gridlines were occasionally lengthened to cover both an inshore block and the block north of it. Lines were occasionally truncated due to extended poor visibility or to avoid potential interference with subsistence whaling activities. For bowheads encountered ""on transect"", the aircraft sometimes circled for a brief (< 10 min) period to observe behavior, obtain better estimates of their numbers, and/or determine whether calves were present. Any new groups sighted when circling were recorded as ""on search""." proprietary -gov.noaa.nodc:0033380_Not Applicable Assessment of invasiveness of the Orange Keyhole Sponge Mycale Armata in Kaneohe Bay, Oahu, Hawaii, based on surveys in 2005 - 2006, Year 2 of Hawaii Coral Reef Initiative (NCEI Accession 0033380) NOAA_NCEI STAC Catalog 2005-01-02 2006-03-31 -157.85, 21.41, -157.76, 21.51 https://cmr.earthdata.nasa.gov/search/concepts/C2089374745-NOAA_NCEI.umm_json The purpose of this study was to determine Mycale armata's distribution, abundance throughout the bay, its growth rates on permanent quadrats, and whether mechanical removal would be an effective management technique for its control. The study utilized both quadrat surveys and manta tow boards for data collection. Data files are in Excel, PDF, MS Word, and JPEG image formats. proprietary -gov.noaa.nodc:0038513_Not Applicable Chemical and biological data collected as part of the CArbon Retention In A Colored Ocean (CARIACO) program in the Cariaco Basin off the coast of Venezuela, May 23, 2005 - November 11, 2006 (NCEI Accession 0038513) NOAA_NCEI STAC Catalog 2005-05-23 2006-11-11 -65.58727, 10.49568, -64.5845, 10.71638 https://cmr.earthdata.nasa.gov/search/concepts/C2089375332-NOAA_NCEI.umm_json Chemical and biological data were collected using bottle casts on the continental shelf of Venezuela from the HERMANO GINES from May 23, 2005 to November 11, 2006. Data were collected and submitted by Dr. Mary Scranton of Stony Brook University with support from the CArbon Retention In A Colored Ocean (CARIACO) program. proprietary -gov.noaa.nodc:0040205_Not Applicable Carbon dioxide from surface underway survey in global oceans from 1968 to 2006 (Version 1.0) (NCEI Accession 0040205) NOAA_NCEI STAC Catalog 1966-01-01 2006-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089375975-NOAA_NCEI.umm_json More than 3 million measurements of surface water partial pressure of CO2 obtained over the global oceans during 1968 to 2006 are listed in the Lamont-Doherty Earth Observatory database, which includes open ocean and coastal water measurements. The data assembled include only those measured by equilibrator CO2 analyzer systems and have been quality-controlled based on the stability of the system performance, the reliability of calibrations for CO2 analysis, and the internal consistency of data. Versions up to 2007 are included in this dataset proprietary -gov.noaa.nodc:0043167_Not Applicable Aurora 1993 XBT's temperature measurements collected using XBT from Aurora Australis in the Tasman Sea during 1993 (NCEI Accession 0043167) NOAA_NCEI STAC Catalog 1993-01-05 1993-10-08 61.52, -68.93, 159, -42.83 https://cmr.earthdata.nasa.gov/search/concepts/C2089372431-NOAA_NCEI.umm_json Temperature data received at NODC on April 14, 2008 by Tim Boyer placed on the FTP server by Ann Thresher, CSIRO (COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANIZATION) for XBT/CTD comparisons proprietary -gov.noaa.nodc:0045502_Not Applicable Carbon dioxide, temperature, salinity, and atmospheric pressure from surface underway survey in the North Pacific from January 1998 to January 2004 (NCEI Accession 0045502) NOAA_NCEI STAC Catalog 1998-01-01 2004-01-01 -100, -10, 120, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089372737-NOAA_NCEI.umm_json Sea surface pCO2, sea surface temperature, sea surface salinity, and atmospheric pressure measurements collected in the North Pacific as part of the NOAA Office of Climate Observations (OCO) and U.S. Carbon Cycle Science Programs. proprietary -gov.noaa.nodc:0045505_Not Applicable AOML VOS pCO2. temperature, salinity, and other underway measurements collected using in the Pacific and Atlantic from 2007 to 2008 (NCEI Accession 0045505) NOAA_NCEI STAC Catalog 2007-04-06 2008-01-15 -90, -40, -20, 20 https://cmr.earthdata.nasa.gov/search/concepts/C2089372759-NOAA_NCEI.umm_json AOML pCO2 underway measurements collected using in the Pacific and Atlantic from 2007 to 2008 proprietary -gov.noaa.nodc:0046934_Not Applicable Acropora Spatial Survey Data of the Upper Florida Keys National Marine Sanctuary, 2005 - 2007 (NCEI Accession 0046934) NOAA_NCEI STAC Catalog 2005-01-01 2007-12-31 -81.41079, 24.54466, -80.19632, 25.29129 https://cmr.earthdata.nasa.gov/search/concepts/C2089373092-NOAA_NCEI.umm_json These data were collected by the NOAA Southeast Fisheries Science Center to document the presence or absence of Acropora spp at shallow reef sites in the Upper Florida Keys (USA). The presence or absence of acroporid corals was marked by handheld GPS during snorkel or tow surveys of shallow water (<5m) reef habitats in the Upper Florida Keys National Marine Sanctuary. The data are in GIS shape and layer files with associated attribute files, metadata files, and additional .pdf file outputs of the GIS data layers. proprietary -gov.noaa.nodc:0049902_Not Applicable Biological dataset collected from bottle casts from the R/V LAURENCE M. GOULD and the R/V NATHANIEL B. PALMER in the Southern Drake Passage and Scotia Sea in support of National Science Foundation projects OPP 03-30443 and ANT 04-44134 from 15 February 2004 to 09 August 2006 (NCEI Accession 0049902) NOAA_NCEI STAC Catalog 2004-02-15 2006-08-09 -64.9884, -64.675, -52.8742, -54.8127 https://cmr.earthdata.nasa.gov/search/concepts/C2089373417-NOAA_NCEI.umm_json Ocean biology data were collected in Southern Drake Passage and Scotia Sea during two research cruises supported by NSF awards. These two cruises, namely LMG0402 and NBP0606, were conducted during Februay to March 2004 and July to August 2006, respectively. Dataset includes concentration of pigments in phytoplankton, particulate organic matter concentration, macronutrients, primary productivity and microbial biomass and productivity. proprietary -gov.noaa.nodc:0051848_Not Applicable Biomass measurements collected in the Pacific Ocean using a net from various platform from 1950 - 1961 (NCEI Accession 0051848) NOAA_NCEI STAC Catalog 1950-05-14 1961-07-29 -170, 0, -135, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089373644-NOAA_NCEI.umm_json Zooplankton biomass data collected from Pacific Ocean in 1950 - 1961 years received from NMFS proprietary -gov.noaa.nodc:0053277_Not Applicable Biomass measurements collected using net in the North and South Atlantic from several platforms from 1950 to 989 (NCEI Accession 0053277) NOAA_NCEI STAC Catalog 1950-01-01 1989-12-31 -86.367, -42.78, 14.175, 53.683 https://cmr.earthdata.nasa.gov/search/concepts/C2089373850-NOAA_NCEI.umm_json Zooplankton biomass data collected by Institute of Biology of the Southern Seas from the Atlantic Ocean in 1950-1989 years and received from the NMFS. proprietary -gov.noaa.nodc:0057319_Not Applicable Arctic Freshwater Switchyard Project: Spring temperature and Salinity data collected by aircraft in the Arctic Ocean, May 2006 - May 2007 (NCEI Accession 0057319) NOAA_NCEI STAC Catalog 2003-05-06 2008-05-07 15, 83, -20, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089374588-NOAA_NCEI.umm_json "A program to study freshwater circulation (sea ice + upper ocean) in the ""freshwater switchyard"" between Alert (Ellesmere Island) and the North Pole. The project uses aircraft to take hydrographic stations on sections across the continental slope northwest of Alert." proprietary -gov.noaa.nodc:0058268_Not Applicable Beaufort Gyre hydrographic data: Temperature, salinity and transmissivity data from the Louis S St. Laurent in the Arctic Ocean, 2003 - 2008 (NCEI Accession 0058268) NOAA_NCEI STAC Catalog 2003-10-11 2008-10-20 -150, 75, -140, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2089374751-NOAA_NCEI.umm_json The major goal of the observational program is to determine the variability of different components of the Beaufort Gyre fresh water (ocean and sea ice) system and to assess the partial concentrations of fresh water of different origin (rivers, Pacific Ocean, precipitation, ice/snow melt, etc). Using moorings, drifting buoys, shipboard, and remote sensing measurements we have been measuring time series of temperature, salinity, currents, geochemical tracers, sea ice draft, and sea level since August 2003, to determine freshwater content and freshwater fluxes in the Beaufort Gyre during a complete seasonal cycle and beyond. proprietary -gov.noaa.nodc:0058858_Not Applicable Abundance data for the copepod species Calanus pacificus and Metridia pacifica collected at a fixed station in Dabob Bay, Hood Canal, Puget Sound, Washington during six cruises aboard the CLIFFORD A. BARNES, October 2006 - April 2008 (NCEI Accession 0058858) NOAA_NCEI STAC Catalog 2006-10-12 2008-04-15 -122.835, 47.769, -122.835, 47.769 https://cmr.earthdata.nasa.gov/search/concepts/C2089374860-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0061208_Not Applicable Algal, coral, and other data collected by ROV and scuba diver videography from M.V. FLING and M.V. SPREE for Post-Hurricane Assessment of Sensitive Habitats of the Flower Garden Banks Vicinity project from November 13, 2005 to June 23, 2007 (NCEI Accession 0061208) NOAA_NCEI STAC Catalog 2005-11-13 2007-05-23 -93.58, 27.85, -92.45, 28.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089375074-NOAA_NCEI.umm_json The most active hurricane season on record in the Atlantic and Gulf of Mexico occurred in 2005, fueled by higher than normal sea-surface temperatures. Eleven tropical cyclones entered the Gulf of Mexico in 2005, including Hurricane Rita. Hurricane Rita was a Category 3 storm when it passed near the shelf edge banks on September 23, 2005. Several sensitive habitats within the northwestern Gulf of Mexico were close to the path of Hurricane Rita, including Sonnier, McGrail, Geyer, Bright, and East Flower Garden Banks. Hindcast hydrodynamic models estimated wave heights at 20-m or higher on these banks. This may have left some bank caps exposed, even at ~20- to 30-m depths. The implications for catastrophic damage to benthic community structure prompted the Minerals Management Service to characterize the banks in their post-hurricane state. This study, using the data in NODC Accession 0061208, characterized and compared the benthic habitats of four banks (Sonnier, McGrail, Geyer, and Bright) and recorded possible hurricane damage at these banks and the East Flower Garden Bank (EFGB). At Sonnier, McGrail, Geyer, and Bright Banks, videographic records were collected by SCUBA and ROV in April and May 2007, at four depth ranges to assess benthic cover to the lowest possible taxonomic level: 22-27 m, 30-36.5 m, 45-50 m, and 55-60 m. Video transects were qualitatively assessed for evidence of hurricane damage. To document recovery from Hurricane Rita at the existing long-term monitoring site on the EFGB, repetitive quadrats and perimeter line surveys were conducted in November 2005 and compared to data collected subsequently in June 2006. proprietary -gov.noaa.nodc:0066319_Not Applicable Benthic data for corals, macroalgae, invertebrates, and non-living bottom types from Fagatele Bay, Pago Pago, and Fagasa, American Samoa, 2004-2008 (NCEI Accession 0066319) NOAA_NCEI STAC Catalog 2004-01-01 2008-08-01 -170.76892, -14.37023, -170.63047, -14.27847 https://cmr.earthdata.nasa.gov/search/concepts/C2089376136-NOAA_NCEI.umm_json This data set was derived from surveys in Fagatele Bay National Marine Sanctuary, Pago Pago (Rainmaker and Aua), and Fagasa (Sita Bay and Cape Larsen) conducted in 2004 and 2007-2008. Parameters include coral, algal, or invertebrate species, coral colony diameter size, and non-living bottom type. Summaries of species identification from sites above and Ofu-Olosega Islands, Ta'u Island, Aunu'u, Manu'a, and Rose Atoll, based on historic surveys back to 1917 are also given in spreadsheets. This is a working list put together by Dr. Charles Birkeland. Fish data were collected by Dr. Alison Green on the same dates and transects and are available in a separate NODC accession. proprietary -gov.noaa.nodc:0068364_Not Applicable Benthic data for corals, macroalgae, invertebrates, and non-living bottom types from Fagatele Bay National Marine Sanctuary, South Pacific Ocean, 2007-04-02 to 2008-12-31 (NCEI Accession 0068364) NOAA_NCEI STAC Catalog 2007-04-02 2008-12-31 -170.814, -14.3654, -170.562, -14.1271 https://cmr.earthdata.nasa.gov/search/concepts/C2089372324-NOAA_NCEI.umm_json Benthic transects were repeated at 12 sites around Tutuila at various depths on the reef slopes and flats. Benthic coverage categories include coral species, invertebrates, and non-living substrate type. Annual surveys took place during 2005-2009. The most detailed data are from 2008. The data were provided as spreadsheets and metadata within a PDF document, focusing on the 2008 surveys. A related data set was can be found in NCEI Accession 0066319, which was derived from surveys in Fagatele Bay National Marine Sanctuary, Pago Pago (Rainmaker and Aua), and Fagasa (Sita Bay and Cape Larsen) conducted in 2004 and 2007-2008. Parameters include coral, algal, or invertebrate species, coral colony diameter size, and non-living bottom type. Also in 0066319 are summaries of species identification from sites above and Ofu-Olosega Islands, Ta'u Island, Aunu'u, Manu'a, and Rose Atoll, based on historic surveys back to 1917 are also given in spreadsheets. This is a working list put together by Dr. Charles Birkeland. proprietary -gov.noaa.nodc:0068586_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068586) NOAA_NCEI STAC Catalog 2010-07-10 2010-07-14 -83.153333, 24.251833, -79.812, 26.011833 https://cmr.earthdata.nasa.gov/search/concepts/C2089372374-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068586) proprietary -gov.noaa.nodc:0068595_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-16 to 2010-07-22 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068595) NOAA_NCEI STAC Catalog 2010-07-16 2010-07-22 -84.7585, 24.4415, -83.131833, 27.727333 https://cmr.earthdata.nasa.gov/search/concepts/C2089372386-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-16 to 2010-07-22 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068595) proprietary -gov.noaa.nodc:0068596_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-24 to 2010-08-02 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068596) NOAA_NCEI STAC Catalog 2010-07-24 2010-08-02 -85.805667, 28.198, -84.298333, 29.269333 https://cmr.earthdata.nasa.gov/search/concepts/C2089372397-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the Gulf of Mexico from 2010-07-24 to 2010-08-02 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068596) proprietary -gov.noaa.nodc:0068597_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-08-04 to 2010-08-08 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068597) NOAA_NCEI STAC Catalog 2010-08-04 2010-08-08 -84.752833, 24.2405, -79.8815, 26.332167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372405-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the SEWARD JOHNSON in the North Atlantic Ocean and Gulf of Mexico from 2010-08-04 to 2010-08-08 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068597) proprietary -gov.noaa.nodc:0068667_Not Applicable Chemical and isotopic tracers and other data from the Arctic Ocean from 1990-01-01 to 1999-12-31 (NCEI Accession 0068667) NOAA_NCEI STAC Catalog 1990-01-01 1999-12-31 175.508, 53.117, 159.24, 72.749 https://cmr.earthdata.nasa.gov/search/concepts/C2089372424-NOAA_NCEI.umm_json These data are water column and sediment data largely collected in the Bering and Chukchi Seas, with some coverage for the Beaufort and East Siberian Seas, and with limited coverage for other portions of the Arctic Ocean. Data include that collected on Alpha Helix cruises 139, 165, 166, 174,189, 190, 214, and 224 between 1990 and 1999. Other data were obtained from cruises of the RV OKEAN (1993), USCGC Polar Star (1993), Mendeleev(1993), USCGC Polar Sea (2000), U.S. Canada Arctic Ocean Section(1994), and Polarstern (1993). Water column data include coverage from some to most stations on these cruises, and include bottle salinity, temperature, sigma-t, oxygen-18/16 ratios, phosphate, ammonia, silicate, nitrate, dissolved oxygen, iodine-129 concentrations, and chlorophyll a. Sediment data include plutonium and neptunium concentrations, including isotope data. Biological data include radionuclide burdens in marine mammal tissues donated by subsistence hunters on the North Slope of Alaska and in the Resolute region of Canada. proprietary -gov.noaa.nodc:0068954_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0068954) NOAA_NCEI STAC Catalog 2010-08-13 2010-08-22 -89.474, 24.52, -81.79, 31.99 https://cmr.earthdata.nasa.gov/search/concepts/C2089372490-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0068954) proprietary -gov.noaa.nodc:0068955_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the Arctic in the Gulf of Mexico from 2010-09-09 to 2010-09-14 in response to the Deepwater Horizon oil spill event (NCEI Accession 0068955) NOAA_NCEI STAC Catalog 2010-09-09 2010-09-14 -90.978, 26.375167, -87.937333, 28.952667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372502-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the Arctic in the Gulf of Mexico from 2010-09-09 to 2010-09-14 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include temperature, dissolved oxygen, sound velocity, hydrostatic pressure, conductivity, water density, salinity and CDOM fluorescence. The instruments used to collect these data were oxygen meter, CTD and fluorometer. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0068955) proprietary -gov.noaa.nodc:0069044_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-18 to 2010-05-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069044) NOAA_NCEI STAC Catalog 2010-05-18 2010-05-22 -90.21514, 28.644125, -88.3511, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089372565-NOAA_NCEI.umm_json Chemical, physical, profile, laboratory analysis, tows and underway oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-18 to 2010-05-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature, turbidity and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069044) proprietary -gov.noaa.nodc:0069045_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-23 to 2010-05-25 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069045) NOAA_NCEI STAC Catalog 2010-05-23 2010-05-25 -90.21514, 28.716, -88.375, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089372576-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-23 to 2010-05-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069045) proprietary -gov.noaa.nodc:0069046_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-30 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069046) NOAA_NCEI STAC Catalog 2010-05-30 2010-06-02 -90.21514, 28.635, -88.368, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089372591-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-30 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069046) proprietary -gov.noaa.nodc:0069047_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-04 to 2010-06-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069047) NOAA_NCEI STAC Catalog 2010-06-04 2010-06-08 -90.21514, 28.644, -88.327, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089372619-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-04 to 2010-06-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069047) proprietary -gov.noaa.nodc:0069048_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-10 to 2010-06-14 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069048) NOAA_NCEI STAC Catalog 2010-06-10 2010-06-14 -90.21514, 28.721, -88.375, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089372632-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-10 to 2010-06-14 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069048) proprietary -gov.noaa.nodc:0069049_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-16 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069049) NOAA_NCEI STAC Catalog 2010-06-16 2010-06-20 -90.3, 28.69651, -88.28, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372642-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-16 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069049) proprietary -gov.noaa.nodc:0069050_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-22 to 2010-06-26 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069050) NOAA_NCEI STAC Catalog 2010-06-22 2010-06-26 -90.3, 28.632025, -88.35, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372654-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-06-22 to 2010-06-26 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069050) proprietary -gov.noaa.nodc:0069051_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-04 to 2010-07-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069051) NOAA_NCEI STAC Catalog 2010-07-04 2010-07-08 -90.3, 28.7, -88.336973, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372667-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-04 to 2010-07-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069051) proprietary -gov.noaa.nodc:0069052_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069052) NOAA_NCEI STAC Catalog 2010-07-10 2010-07-14 -90.3, 28.69, -88.3, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372678-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-10 to 2010-07-14 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069052) proprietary -gov.noaa.nodc:0069053_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-16 to 2010-07-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069053) NOAA_NCEI STAC Catalog 2010-07-16 2010-07-20 -90.3, 28.4, -88.1, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372689-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-16 to 2010-07-20 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069053) proprietary -gov.noaa.nodc:0069054_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-28 to 2010-08-01 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069054) NOAA_NCEI STAC Catalog 2010-07-28 2010-08-01 -90.3, 27.975, -88.2, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372705-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-07-28 to 2010-08-01 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069054) proprietary -gov.noaa.nodc:0069055_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-03 to 2010-08-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069055) NOAA_NCEI STAC Catalog 2010-08-03 2010-08-07 -90.3, 27.974, -88.5, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372721-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-03 to 2010-08-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069055) proprietary -gov.noaa.nodc:0069056_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-09 to 2010-08-12 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069056) NOAA_NCEI STAC Catalog 2010-08-09 2010-08-12 -90.3, 27.6, -88.5, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372731-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-09 to 2010-08-12 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069056) proprietary -gov.noaa.nodc:0069057_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-15 to 2010-08-19 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069057) NOAA_NCEI STAC Catalog 2010-08-15 2010-08-19 -90.3, 27.2, -88.5, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089372741-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-15 to 2010-08-19 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069057) proprietary -gov.noaa.nodc:0069058_Not Applicable Chemical, physical and profile oceanographic data collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-08-21 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069058) NOAA_NCEI STAC Catalog 2010-08-21 2010-09-02 -90.67267, 26.17233, -86.34483, 28.820167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372753-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-08-21 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069058) proprietary -gov.noaa.nodc:0069059_Not Applicable Chemical, physical and profile oceanographic data collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-09-04 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069059) NOAA_NCEI STAC Catalog 2010-09-04 2010-09-15 -91.5917, 27.005667, -87.503, 29.396333 https://cmr.earthdata.nasa.gov/search/concepts/C2089372762-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the CAPE HATTERAS in the Gulf of Mexico from 2010-09-04 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069059) proprietary -gov.noaa.nodc:0069060_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-15 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069060) NOAA_NCEI STAC Catalog 2010-07-15 2010-07-23 -91.861908, 28.542, -88.1, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089372775-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-15 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069060) proprietary -gov.noaa.nodc:0069061_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-25 to 2010-07-30 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069061) NOAA_NCEI STAC Catalog 2010-07-25 2010-07-30 -90.2, 28.549, -88.09, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089372789-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-25 to 2010-07-30 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069061) proprietary -gov.noaa.nodc:0069062_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-30 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069062) NOAA_NCEI STAC Catalog 2010-07-30 2010-08-03 -90.2, 28.3, -88, 30.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089372808-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-30 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069062) proprietary -gov.noaa.nodc:0069063_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-03 to 2010-08-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069063) NOAA_NCEI STAC Catalog 2010-08-03 2010-08-11 -90.2, 27.639, -88.376, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089372819-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-03 to 2010-08-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069063) proprietary -gov.noaa.nodc:0069064_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-13 to 2010-08-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069064) NOAA_NCEI STAC Catalog 2010-08-13 2010-08-17 -90.2, 27.395, -88.79, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089372830-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-13 to 2010-08-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069064) proprietary -gov.noaa.nodc:0069065_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069065) NOAA_NCEI STAC Catalog 2010-08-18 2010-08-23 -91.007, 26.994, -89.476, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089372837-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069065) proprietary -gov.noaa.nodc:0069066_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-07 to 2010-08-27 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069066) NOAA_NCEI STAC Catalog 2010-07-07 2010-08-27 -90.2, 26.4, -88.363, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089372849-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-07 to 2010-08-27 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069066) proprietary -gov.noaa.nodc:0069067_Not Applicable Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-05-27 to 2010-06-04 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069067) NOAA_NCEI STAC Catalog 2010-05-27 2010-06-04 -88.8825, 28.4, -87.6679, 30.3428 https://cmr.earthdata.nasa.gov/search/concepts/C2089372865-NOAA_NCEI.umm_json Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-05-27 to 2010-06-04 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, bathythermograph - XBT, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069067) proprietary -gov.noaa.nodc:0069068_Not Applicable Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-01 to 2010-07-06 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069068) NOAA_NCEI STAC Catalog 2010-07-01 2010-07-06 -91.928, 27.0001, -88.0059, 30.368 https://cmr.earthdata.nasa.gov/search/concepts/C2089372879-NOAA_NCEI.umm_json Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-01 to 2010-07-06 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069068) proprietary -gov.noaa.nodc:0069069_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the HOS Davis in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069069) NOAA_NCEI STAC Catalog 2010-08-13 2010-08-22 -90.671025, 27.437785, -88.800574, 28.204308 https://cmr.earthdata.nasa.gov/search/concepts/C2089372890-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the HOS Davis in the Gulf of Mexico from 2010-08-13 to 2010-08-22 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069069) proprietary -gov.noaa.nodc:0069070_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the HOS Davis in the Gulf of Mexico from 2010-08-26 to 2010-09-03 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069070) NOAA_NCEI STAC Catalog 2010-08-26 2010-09-03 -89.645667, 27.524833, -88.886, 27.979333 https://cmr.earthdata.nasa.gov/search/concepts/C2089372900-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the HOS Davis in the Gulf of Mexico from 2010-08-26 to 2010-09-03 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069070) proprietary -gov.noaa.nodc:0069071_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the HOS Davis in the Gulf of Mexico from 2010-09-09 to 2010-09-27 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069071) NOAA_NCEI STAC Catalog 2010-09-09 2010-09-27 -90.650379, 26.472702, -88.46737, 28.851167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372912-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the HOS Davis in the Gulf of Mexico from 2010-09-09 to 2010-09-27 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069071) proprietary -gov.noaa.nodc:0069072_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the JACK FITZ in the Gulf of Mexico from 2010-05-10 to 2010-05-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069072) NOAA_NCEI STAC Catalog 2010-05-10 2010-05-13 -88.346167, 28.726667, -88.023667, 29.0865 https://cmr.earthdata.nasa.gov/search/concepts/C2089372938-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-05-10 to 2010-05-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069072) proprietary -gov.noaa.nodc:0069073_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the JACK FITZ in the Gulf of Mexico from 2010-05-22 to 2010-05-31 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069073) NOAA_NCEI STAC Catalog 2010-05-22 2010-05-31 -88.4425, 28.708167, -88.357167, 28.8755 https://cmr.earthdata.nasa.gov/search/concepts/C2089372997-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-05-22 to 2010-05-31 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069073) proprietary -gov.noaa.nodc:0069074_Not Applicable Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the JACK FITZ in the Gulf of Mexico from 2010-06-12 to 2010-06-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069074) NOAA_NCEI STAC Catalog 2010-06-12 2010-06-20 -88.917, 28.273167, -88.358167, 28.813167 https://cmr.earthdata.nasa.gov/search/concepts/C2089373016-NOAA_NCEI.umm_json Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-06-12 to 2010-06-20 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0069074) proprietary -gov.noaa.nodc:0069075_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the JACK FITZ in the Gulf of Mexico from 2010-09-04 to 2010-09-12 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069075) NOAA_NCEI STAC Catalog 2010-09-04 2010-09-12 -91.1825, 26.9375, -88.7, 28.2515 https://cmr.earthdata.nasa.gov/search/concepts/C2089373036-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-09-04 to 2010-09-12 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069075) proprietary -gov.noaa.nodc:0069076_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the Meg L. Skansi in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069076) NOAA_NCEI STAC Catalog 2010-09-04 2010-09-13 -89.442763, 27.765386, -88.211785, 28.810542 https://cmr.earthdata.nasa.gov/search/concepts/C2089373042-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the Meg L. Skansi in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069076) proprietary -gov.noaa.nodc:0069077_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico and North Atlantic Ocean from 2010-06-30 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069077) NOAA_NCEI STAC Catalog 2010-06-30 2010-07-18 -88.643, 23.098, -80.02, 30.34 https://cmr.earthdata.nasa.gov/search/concepts/C2089373054-NOAA_NCEI.umm_json Chemical, physical, profile, biological, laboratory analysis, meteorological, navigational, tows and underway oceanographic data were collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico and North Atlantic Ocean from 2010-06-30 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, plankton, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS), bathythermograph - XBT, bottle, fluorometer, oxygen meter and thermosalinographs along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069077) proprietary -gov.noaa.nodc:0069078_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the Rachel Bordelon in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069078) NOAA_NCEI STAC Catalog 2010-09-04 2010-09-13 -89.307814, 28.054497, -88.27382, 28.827148 https://cmr.earthdata.nasa.gov/search/concepts/C2089373063-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the Rachel Bordelon in the Gulf of Mexico from 2010-09-04 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069078) proprietary -gov.noaa.nodc:0069079_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-15 to 2010-09-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069079) NOAA_NCEI STAC Catalog 2010-09-15 2010-09-22 -89, 28.843, -88, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373073-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-15 to 2010-09-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069079) proprietary -gov.noaa.nodc:0069080_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-23 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069080) NOAA_NCEI STAC Catalog 2010-09-23 2010-09-28 -89.95, 28.85, -88, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089373083-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-23 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069080) proprietary -gov.noaa.nodc:0069081_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the Specialty Diver I in the Gulf of Mexico from 2010-09-10 to 2010-09-15 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069081) NOAA_NCEI STAC Catalog 2010-09-10 2010-09-15 -88.69502, 28.007332, -88.032456, 28.938103 https://cmr.earthdata.nasa.gov/search/concepts/C2089373097-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the Specialty Diver I in the Gulf of Mexico from 2010-09-10 to 2010-09-15 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069081) proprietary -gov.noaa.nodc:0069082_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-03 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069082) NOAA_NCEI STAC Catalog 2010-06-03 2010-07-18 -94.8, 27.1, -87.7, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089373108-NOAA_NCEI.umm_json Chemical, physical, profile, tows and underway oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-03 to 2010-07-18 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069082) proprietary -gov.noaa.nodc:0069083_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-15 to 2010-06-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069083) NOAA_NCEI STAC Catalog 2010-06-15 2010-06-28 -94.8, 27.657, -87.099, 30.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089373119-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship THOMAS JEFFERSON in the Gulf of Mexico from 2010-06-15 to 2010-06-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069083) proprietary -gov.noaa.nodc:0069084_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-05-26 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069084) NOAA_NCEI STAC Catalog 2010-05-26 2010-06-02 -88.9, 28.3, -88.3, 28.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089373130-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-05-26 to 2010-06-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069084) proprietary -gov.noaa.nodc:0069085_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the Wes Bordelon in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069085) NOAA_NCEI STAC Catalog 2010-09-05 2010-09-13 -92.945292, 26.086672, -89.173627, 27.443796 https://cmr.earthdata.nasa.gov/search/concepts/C2089373141-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069085) proprietary -gov.noaa.nodc:0069086_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069086) NOAA_NCEI STAC Catalog 2010-08-18 2010-08-22 -90.088057, 26.502077, -89.807934, 27.649192 https://cmr.earthdata.nasa.gov/search/concepts/C2089373153-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069086) proprietary -gov.noaa.nodc:0069087_Not Applicable Chemical, physical and profile oceanographic data collected aboard the PELICAN in the Gulf of Mexico from 2010-05-10 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069087) NOAA_NCEI STAC Catalog 2010-05-10 2010-07-21 -90.6646, 28.537667, -88.1995, 29.2441 https://cmr.earthdata.nasa.gov/search/concepts/C2089373164-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the PELICAN in the Gulf of Mexico from 2010-05-10 to 2010-07-21 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069087) proprietary -gov.noaa.nodc:0069088_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the American Diver in the Gulf of Mexico on 2010-08-04 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069088) NOAA_NCEI STAC Catalog 2010-08-04 2010-08-04 -89.03634, 28.36381, -88.74594, 28.3809 https://cmr.earthdata.nasa.gov/search/concepts/C2089373175-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the American Diver in the Gulf of Mexico on 2010-08-04 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069088) proprietary -gov.noaa.nodc:0069090_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069090) NOAA_NCEI STAC Catalog 2010-08-21 2010-08-25 -90.3, 27.5, -88, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089373189-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069090) proprietary -gov.noaa.nodc:0069091_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-07-28 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069091) NOAA_NCEI STAC Catalog 2010-07-28 2010-08-10 -89.01, 24.52, -81.79, 31.99 https://cmr.earthdata.nasa.gov/search/concepts/C2089373199-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship HENRY B. BIGELOW in the Gulf of Mexico from 2010-07-28 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069091) proprietary -gov.noaa.nodc:0069092_Not Applicable Chemical, physical and profile oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-05-26 to 2010-05-30 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069092) NOAA_NCEI STAC Catalog 2010-05-26 2010-05-30 -91.2, 28.6, -87.9, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089373209-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-05-26 to 2010-05-30 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069092) proprietary -gov.noaa.nodc:0069093_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-01 to 2010-06-05 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069093) NOAA_NCEI STAC Catalog 2010-06-01 2010-06-05 -91.2, 28.6, -87.9, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089373219-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-01 to 2010-06-05 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069093) proprietary -gov.noaa.nodc:0069094_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-07 to 2010-06-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069094) NOAA_NCEI STAC Catalog 2010-06-07 2010-06-11 -90.3, 28.6, -88.3, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373230-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-07 to 2010-06-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069094) proprietary -gov.noaa.nodc:0069095_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-13 to 2010-06-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069095) NOAA_NCEI STAC Catalog 2010-06-13 2010-06-17 -90.2, 28.7, -88.2, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373241-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-13 to 2010-06-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069095) proprietary -gov.noaa.nodc:0069096_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-19 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069096) NOAA_NCEI STAC Catalog 2010-06-19 2010-06-23 -90.2, 28.7, -88.2, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373251-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-19 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069096) proprietary -gov.noaa.nodc:0069097_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-25 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069097) NOAA_NCEI STAC Catalog 2010-06-25 2010-06-29 -90.2, 28.6, -88.3, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373263-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-25 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069097) proprietary -gov.noaa.nodc:0069098_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-29 to 2010-07-05 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069098) NOAA_NCEI STAC Catalog 2010-06-29 2010-07-05 -90.2, 28.7, -88.3, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373276-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-29 to 2010-07-05 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069098) proprietary -gov.noaa.nodc:0069099_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-07 to 2010-07-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069099) NOAA_NCEI STAC Catalog 2010-07-07 2010-07-11 -90.2, 28.6, -88.3, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373289-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-07 to 2010-07-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069099) proprietary -gov.noaa.nodc:0069100_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-19 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069100) NOAA_NCEI STAC Catalog 2010-07-19 2010-07-23 -90.2, 28.4, -88.1, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373307-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-19 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069100) proprietary -gov.noaa.nodc:0069101_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069101) NOAA_NCEI STAC Catalog 2010-07-26 2010-07-29 -90.2, 28.3, -88.3, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373319-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069101) proprietary -gov.noaa.nodc:0069102_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-31 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069102) NOAA_NCEI STAC Catalog 2010-07-31 2010-08-03 -90.2, 28.1, -88.7, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373331-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-07-31 to 2010-08-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069102) proprietary -gov.noaa.nodc:0069103_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-06 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069103) NOAA_NCEI STAC Catalog 2010-08-06 2010-08-10 -90.2, 27.9, -88.657, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373342-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-06 to 2010-08-10 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069103) proprietary -gov.noaa.nodc:0069104_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-12 to 2010-08-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069104) NOAA_NCEI STAC Catalog 2010-08-12 2010-08-16 -90.2, 27.5, -88.9, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373356-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-12 to 2010-08-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069104) proprietary -gov.noaa.nodc:0069105_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069105) NOAA_NCEI STAC Catalog 2010-08-18 2010-08-22 -91.6, 26.8, -88.946, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373368-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069105) proprietary -gov.noaa.nodc:0069106_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-25 to 2010-08-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069106) NOAA_NCEI STAC Catalog 2010-08-25 2010-08-29 -90.2, 27.1, -88, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373379-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-25 to 2010-08-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069106) proprietary -gov.noaa.nodc:0069107_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-30 to 2010-09-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069107) NOAA_NCEI STAC Catalog 2010-08-30 2010-09-03 -91.618, 26.798, -90.018, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373390-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-08-30 to 2010-09-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069107) proprietary -gov.noaa.nodc:0069108_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-03 to 2010-09-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069108) NOAA_NCEI STAC Catalog 2010-09-03 2010-09-07 -90.4, 27.102, -88.558, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373403-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-03 to 2010-09-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069108) proprietary -gov.noaa.nodc:0069109_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-07 to 2010-10-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069109) NOAA_NCEI STAC Catalog 2010-09-07 2010-10-16 -90.825, 26.47, -88.565218, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373414-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-07 to 2010-10-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069109) proprietary -gov.noaa.nodc:0069110_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-11 to 2010-09-13 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069110) NOAA_NCEI STAC Catalog 2010-09-11 2010-09-13 -97.8, 18.2, -81, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373424-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-11 to 2010-09-13 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069110) proprietary -gov.noaa.nodc:0069111_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship PISCES in the Gulf of Mexico from 2010-07-05 to 2010-08-14 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069111) NOAA_NCEI STAC Catalog 2010-07-05 2010-08-14 -89.6682, 25.8921, -87.6011, 30.3679 https://cmr.earthdata.nasa.gov/search/concepts/C2089373435-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship PISCES in the Gulf of Mexico from 2010-07-05 to 2010-08-14 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069111) proprietary -gov.noaa.nodc:0069112_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-08-18 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069112) NOAA_NCEI STAC Catalog 2010-08-18 2010-09-02 -92.904, 26.223, -87.207, 30.3679 https://cmr.earthdata.nasa.gov/search/concepts/C2089373449-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-08-18 to 2010-09-02 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069112) proprietary -gov.noaa.nodc:0069113_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-09 to 2010-09-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069113) NOAA_NCEI STAC Catalog 2010-09-09 2010-09-17 -92.263, 26.354, -87.6852, 30.3678 https://cmr.earthdata.nasa.gov/search/concepts/C2089373460-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-09 to 2010-09-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069113) proprietary -gov.noaa.nodc:0069114_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-25 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069114) NOAA_NCEI STAC Catalog 2010-09-25 2010-10-03 -89.594, 28.065, -87.746, 30.367 https://cmr.earthdata.nasa.gov/search/concepts/C2089373471-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis, sediment analysis and underway oceanographic data were collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2010-09-25 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature, turbidity and water density. The instruments used to collect these data included CTD, camera, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069114) proprietary -gov.noaa.nodc:0069115_Not Applicable Chemical, physical and profile oceanographic data collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-06-01 to 2010-06-06 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069115) NOAA_NCEI STAC Catalog 2010-06-01 2010-06-06 -88.7, 28.6, -88.3, 28.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089373487-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the F. G. Walton Smith in the Gulf of Mexico from 2010-06-01 to 2010-06-06 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069115) proprietary -gov.noaa.nodc:0069116_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-05-31 to 2010-06-02 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069116) NOAA_NCEI STAC Catalog 2010-05-31 2010-06-02 -89.72402, 28.19419, -88.33851, 29.14539 https://cmr.earthdata.nasa.gov/search/concepts/C2089373498-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-05-31 to 2010-06-02 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069116) proprietary -gov.noaa.nodc:0069117_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069117) NOAA_NCEI STAC Catalog 2010-09-05 2010-09-13 -92.476527, 26.472702, -88.799255, 27.979475 https://cmr.earthdata.nasa.gov/search/concepts/C2089373509-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-09-05 to 2010-09-13 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069117) proprietary -gov.noaa.nodc:0069118_Not Applicable Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069118) NOAA_NCEI STAC Catalog 2010-08-18 2010-08-23 -91.568847, 26.795853, -89.645927, 27.591288 https://cmr.earthdata.nasa.gov/search/concepts/C2089373520-NOAA_NCEI.umm_json Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the BUNNY BORDELON in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0069118) proprietary -gov.noaa.nodc:0069119_Not Applicable Chemical, laboratory analyses, physical and profile oceanographic data collected aboard the JACK FITZ in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069119) NOAA_NCEI STAC Catalog 2010-08-18 2010-08-23 -91.273333, 26.7365, -90.482167, 27.532667 https://cmr.earthdata.nasa.gov/search/concepts/C2089373529-NOAA_NCEI.umm_json Chemical, laboratory analyses, physical and profile oceanographic data were collected aboard the JACK FITZ in the Gulf of Mexico from 2010-08-18 to 2010-08-23 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0069119) proprietary -gov.noaa.nodc:0069120_Not Applicable Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-04 to 2010-09-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069120) NOAA_NCEI STAC Catalog 2010-09-04 2010-09-08 -90.5, 28, -88, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373537-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-04 to 2010-09-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, methane, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer, gas chromatograph, methane sensor and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0069120) proprietary -gov.noaa.nodc:0069126_Not Applicable Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-09 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069126) NOAA_NCEI STAC Catalog 2010-09-09 2010-09-15 -88.5, 28.284, -87, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373578-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-09-09 to 2010-09-15 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Total Petroleum Hydrocarbons (TPH), conductivity, dissolved oxygen, fluorescence, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer, gas chromatograph and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0069126) proprietary -gov.noaa.nodc:0069127_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-10-07 to 2010-10-20 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069127) NOAA_NCEI STAC Catalog 2010-10-07 2010-10-20 -90.57, 27.36, -87.716, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373589-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-10-07 to 2010-10-20 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069127) proprietary -gov.noaa.nodc:0069128_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-23 to 2010-07-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069128) NOAA_NCEI STAC Catalog 2010-06-23 2010-07-17 -90.2, 28.598, -88.3, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089373600-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-06-23 to 2010-07-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069128) proprietary -gov.noaa.nodc:0069356_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-10-07 to 2010-10-17 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069356) NOAA_NCEI STAC Catalog 2010-10-07 2010-10-17 -89.901878, 28.705, -86.24, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373630-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-10-07 to 2010-10-17 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069356) proprietary -gov.noaa.nodc:0069614_Not Applicable Chemical and physical oceanographic profile data collected from CTD casts aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico from 2010-08-13 to 2010-08-21 in response to the Deepwater Horizon oil spill event (NCEI Accession 0069614) NOAA_NCEI STAC Catalog 2010-08-13 2010-08-21 -88.987167, 28.1895, -83.0375, 30.188333 https://cmr.earthdata.nasa.gov/search/concepts/C2089373709-NOAA_NCEI.umm_json Chemical and physical oceanographic profile data were collected aboard NOAA Ship NANCY FOSTER in the Gulf of Mexico from 2010-08-13 to 2010-08-21 in response to the Deepwater Horizon oil spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consists of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data were CTD, fluorometer and oxygen meter. These data have undergone quality assurance and control procedures to validate their scientific integrity at the National Coastal Data Development Center. (NODC Accession 0069614) proprietary -gov.noaa.nodc:0069615_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-22 to 2010-10-24 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0069615) NOAA_NCEI STAC Catalog 2010-09-22 2010-10-24 -91.2, 28, -86, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089373719-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the OCEAN VERITAS in the Gulf of Mexico from 2010-09-22 to 2010-10-24 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sediment properties, sound velocity, temperature and water density. The instruments used to collect these data included CTD, bottle, fluorometer, oxygen meter and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069615) proprietary -gov.noaa.nodc:0070122_Not Applicable Biological, chemical, optical, and physical observations collected aboard the Alaska marine highway system ferry TUSTUMENA in the Gulf of Alaska from September 15, 2004 through November 6, 2008 (NCEI Accession 0070122) NOAA_NCEI STAC Catalog 2004-09-15 2008-11-06 -166.5981, 48.6226, -122.514, 61.1241 https://cmr.earthdata.nasa.gov/search/concepts/C2089373814-NOAA_NCEI.umm_json An oceanographic measurement system aboard the Alaskan ferry Tustumena operated for four years in the Alaska Coastal Current with funding from the Exxon Valdez Oil Spill Trustee Council, the North Pacific Research Board and the National Oceanic and Atmospheric Administration. Sampling water from the ships sea chest at 4 m, the underway system measured: (1) temperature and salinity basic physical variables, (2) nitrate - an essential phytoplankton nutrient, (3) chlorophyll fluorescence an indicator of phytoplankton concentration, (4) colored dissolved organic matter (CDOM) fluorescence an indicator of terrestrial runoff, and (5) optical beam transmittance an indicator of suspended sediment. Instrumentation: Time series instruments used on this underway system are listed by manufacturer. Data are processed using software provided by the manufacturers of the instruments along with recent calibration files when appropriate. Post processing was via Ferret data visualization and analysis software. proprietary -gov.noaa.nodc:0070330_Not Applicable Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-06-15 to 2010-06-25 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070330) NOAA_NCEI STAC Catalog 2010-06-15 2010-06-25 -88.5762, 27.8454, -85.222, 30.6763 https://cmr.earthdata.nasa.gov/search/concepts/C2089373844-NOAA_NCEI.umm_json Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-06-15 to 2010-06-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070330) proprietary -gov.noaa.nodc:0070331_Not Applicable Chemical, physical, profile and underway oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-08 to 2010-07-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070331) NOAA_NCEI STAC Catalog 2010-07-08 2010-07-16 -89.805, 27.878, -87, 30.368 https://cmr.earthdata.nasa.gov/search/concepts/C2089373853-NOAA_NCEI.umm_json Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-08 to 2010-07-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070331) proprietary -gov.noaa.nodc:0070332_Not Applicable Chemical, physical and profile oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-25 to 2010-07-31 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070332) NOAA_NCEI STAC Catalog 2010-07-25 2010-07-31 -88.5767, 23.9296, -81.8072, 30.3438 https://cmr.earthdata.nasa.gov/search/concepts/C2089373861-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-25 to 2010-07-31 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070332) proprietary -gov.noaa.nodc:0070333_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-02 to 2010-08-08 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070333) NOAA_NCEI STAC Catalog 2010-08-02 2010-08-08 -88.938, 24.2763, -81.8091, 30.2892 https://cmr.earthdata.nasa.gov/search/concepts/C2089373871-NOAA_NCEI.umm_json Chemical, physical, profile, laboratory analysis and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-02 to 2010-08-08 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070333) proprietary -gov.noaa.nodc:0070530_Not Applicable Benthic habitat data for Wawaloi and Keei, Kona Coast, Island of Hawaii, August 2004 (NCEI Accession 0070530) NOAA_NCEI STAC Catalog 2004-08-06 2004-08-11 156.05, 19.45, 155.9167, 19.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089373881-NOAA_NCEI.umm_json Transects were made at two locations on the west side of the Island of Hawaii in August 2004 to study the structure and composition of the benthic habitat. Photoquadrats were established to quantify the percent of the benthic substrate occupied by coral and algal species, through use of Coral Point Count with Excel Extensions. Rugosity along each transect was also calculated. The transects were 15 m in length with photoquadrats at each meter mark. Each set of transects at each site consists of 10 15-m long transects running ~parallel to the shore, with ends of all transects aligned, and transects spaced 10 m apart along the vertical profile of the reef from the reef flat to the sandy interface at a depth of ~25 m. Quantified data provided in Excel spreadsheets. Original JPEG images from the photoquadrats are given as well, for future users to have the opportunity to apply other methods of quantifying the benthos. proprietary -gov.noaa.nodc:0070532_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-24 to 2010-09-10 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070532) NOAA_NCEI STAC Catalog 2010-08-24 2010-09-10 -94.706, 27.307, -84.791, 30.512 https://cmr.earthdata.nasa.gov/search/concepts/C2089373890-NOAA_NCEI.umm_json Chemical, physical, profile, meteorological, navigational and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-08-24 to 2010-09-10 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070532) proprietary -gov.noaa.nodc:0070533_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico and North Atlantic Ocean from 2010-09-16 to 2010-09-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0070533) NOAA_NCEI STAC Catalog 2010-09-16 2010-09-29 -88.5657, 24.393, -81.476, 30.368 https://cmr.earthdata.nasa.gov/search/concepts/C2089373901-NOAA_NCEI.umm_json Chemical, physical, profile, meteorological, navigational and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico and North Atlantic Ocean from 2010-09-16 to 2010-09-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include CDOM fluorescence, conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0070533) proprietary -gov.noaa.nodc:0072888_Not Applicable AVHRR Pathfinder version 5 4km global sea surface temperature (SST) seasonal and annual day-night climatologies for 1982-2009 for the Gulf of Mexico (NCEI Accession 0072888) NOAA_NCEI STAC Catalog 1982-01-01 2009-12-31 -98.68, 17.03, -78.9, 31.97 https://cmr.earthdata.nasa.gov/search/concepts/C2089374793-NOAA_NCEI.umm_json This accession contains a set of sea surface temperature climatologies for the Gulf of Mexico (GOM), derived from the AVHRR Pathfinder Version 5 global 4km sea surface temperature data set. These GOM climatologies were produced from 5-day cloud-screened day-night averages of Pathfinder SST data from 1982-2009, which are archived at the National Oceanographic Data Center under separate accession numbers. In addition to sea surface temperature, the climatologies also include minimum, maximum, standard deviation, and number of observations. The climatologies are available as 32-bit Tagged Image File Format (.TIFF) data files for 1982-2009 and include seasonal and yearly time periods. The climatologies are also included as Arc Grid (.mxd) and .PNG layers with associated legends for user convenience and were assigned projection GCS_WGS_1984. An additional subdirectory contains the annual mean, season 1 (Jan-Mar) mean, season 2 (Apr -June) mean, season 3 (Jul - Sept) mean, and season 4 (Oct-Dec) mean as color-classified .PNG images with a matching shape file that we developed for use in online visualizations. A separate GOM land mask which will also display inland water bodies has been included with this accession. The land mask was developed from the Global Self-consistent, Hierarchical, High-resolution Shoreline Database v2.2.0 product (Wessel and Smith, 2011). The user should note that although quality flags were assigned consistently for all water pixels, SSTs for inland water bodies (lakes and rivers) should be used with caution, as their accuracy has not been documented and there are numerous complexities involved with determining surface temperatures in inland regions. proprietary -gov.noaa.nodc:0073269_Not Applicable Bottom pressure, vertical acoustic round-trip travel time, and near-bottom currents data collected by Current-and-Pressure-recording Inverted Echo Sounders (CPIES), as part of the Kuroshio Extension System Study (KESS), from 26 April 2004 to 25 June 2006 in the Kuroshio Extension east of Japan (NCEI Accession 0073269) NOAA_NCEI STAC Catalog 2004-04-26 2006-06-25 143.16, 30.02, 148.85, 38.51 https://cmr.earthdata.nasa.gov/search/concepts/C2089374856-NOAA_NCEI.umm_json This data set contains Current and Pressure recording Inverted Echo Sounder (CPIES) measurements collected during the Kuroshio Extension System Study (KESS) under the sponsorship of the National Science Foundation. The measurements were taken between April 2004 and June 2006. Data are from 46 sites. The measured quantities include bottom pressure, vertical acoustic round-trip travel time and near-bottom currents. proprietary -gov.noaa.nodc:0074372_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-14 to 2010-05-18 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074372) NOAA_NCEI STAC Catalog 2010-05-14 2010-05-18 -90.21514, 28.42141, -88, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089375012-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-14 to 2010-05-18 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and suspended solids. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer and bottle along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074372) proprietary -gov.noaa.nodc:0074853_Not Applicable Chemical, physical, profile and laboratory analysis oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-07 to 2010-09-11 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074853) NOAA_NCEI STAC Catalog 2010-09-07 2010-09-11 -90.85, 27.5, -88.7, 29.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089375175-NOAA_NCEI.umm_json Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-09-07 to 2010-09-11 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH) and Volatile Organic Compounds. The instruments used to collect these data included CTD and bottle along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074853) proprietary -gov.noaa.nodc:0074854_Not Applicable Chemical, profile and laboratory analysis oceanographic data collected aboard the Ferrel in the Gulf of Mexico from 2010-07-03 to 2010-07-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074854) NOAA_NCEI STAC Catalog 2010-07-03 2010-07-07 -91.9, 28.650542, -88.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089375187-NOAA_NCEI.umm_json Chemical, profile and laboratory analysis oceanographic data were collected aboard the Ferrel in the Gulf of Mexico from 2010-07-03 to 2010-07-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH) and Volatile Organic Compounds. The instruments used to collect these data included bottle along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074854) proprietary -gov.noaa.nodc:0074863_Not Applicable Chemical and laboratory analyses oceanographic data collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074863) NOAA_NCEI STAC Catalog 2010-08-18 2010-08-22 -90.088057, 26.502077, -89.807934, 27.649192 https://cmr.earthdata.nasa.gov/search/concepts/C2089375199-NOAA_NCEI.umm_json Chemical and laboratory analyses oceanographic data were collected aboard the Wes Bordelon in the Gulf of Mexico from 2010-08-18 to 2010-08-22 in response to the Deepwater Horizon Oil Spill Event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH) and Volatile Organic Compounds. The instruments used to collect these data included bottle along with other physical sampling devices. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. (NODC Accession 0074863) proprietary -gov.noaa.nodc:0074904_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-19 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074904) NOAA_NCEI STAC Catalog 2010-09-19 2010-09-28 -89.976969, 26.9997, -87.59, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089375212-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-09-19 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and sediment properties. The instruments used to collect these data included bottle and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074904) proprietary -gov.noaa.nodc:0074905_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-09-25 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074905) NOAA_NCEI STAC Catalog 2010-09-25 2010-09-28 -89.58, 28.44, -88.21, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089375226-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-09-25 to 2010-09-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and sediment properties. The instruments used to collect these data included bottle and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074905) proprietary -gov.noaa.nodc:0074906_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the GYRE in the Gulf of Mexico from 2010-10-01 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0074906) NOAA_NCEI STAC Catalog 2010-10-01 2010-10-03 -89.58, 28.639058, -88.359144, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089375237-NOAA_NCEI.umm_json Chemical, physical, profile, imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-10-01 to 2010-10-03 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Carbon - Total Organic, Metals, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds and sediment properties. The instruments used to collect these data included bottle and sediment sampler - corer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0074906) proprietary -gov.noaa.nodc:0077816_Not Applicable AVHRR Pathfinder version 5.0 global 4km sea surface temperature (SST) day-night monthly and yearly averages for 1985-2009 (NCEI Accession 0077816) NOAA_NCEI STAC Catalog 1985-01-01 2009-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089375435-NOAA_NCEI.umm_json This data set contains a set of monthly and yearly global day-night sea surface temperature averages, derived from the AVHRR Pathfinder Version 5 sea surface temperature cloudscreened data set in GeoTIFF format. The AVHRR Pathfinder SST data sets provide the longest, most accurate, and highest resolution consistently-reprocessed SST climate data record from the AVHRR sensor series. These data files were produced to facilitate the utilization of high resolution Pathfinder v5.0 sea surface temperature data within geographic information system (GIS) software. These day-night combined monthly and yearly means were produced from cloud-screened day-night monthly full resolution files of Pathfinder SST data from 1985-2009. The original .HDF files are archived at the National Oceanographic Data Center under separate accession numbers. The GeoTIFF SST averages were assigned projection GCS_WGS_1984. In addition, browse images in PNG format with an associated KML file for each year are included with these data as well as detailed metadata. proprietary -gov.noaa.nodc:0080994_Not Applicable Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 1998-01-21 to 1998-02-17 (NCEI Accession 0080994) NOAA_NCEI STAC Catalog 1998-01-21 1998-02-17 51.94, -60.21, 77.77, -21.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089375805-NOAA_NCEI.umm_json Underway measurements from OISO-1 cruise (Indian and Southern Oceans). proprietary -gov.noaa.nodc:0081002_Not Applicable Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 1998-08-19 to 1998-09-07 (NCEI Accession 0081002) NOAA_NCEI STAC Catalog 1998-08-19 1998-09-07 51.82, -50.68, 77.57, -23.84 https://cmr.earthdata.nasa.gov/search/concepts/C2089375882-NOAA_NCEI.umm_json Underway measurements from OISO-2 cruise (South Indian and Southern Oceans) proprietary -gov.noaa.nodc:0081004_Not Applicable Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 2000-01-15 to 2000-02-07 (NCEI Accession 0081004) NOAA_NCEI STAC Catalog 2000-01-15 2000-02-07 51.84, -61.34, 77.39, -21.71 https://cmr.earthdata.nasa.gov/search/concepts/C2089375900-NOAA_NCEI.umm_json Underway fCO2 measurements from OISO-4 cruise (Indian and Southern Oceans) proprietary -gov.noaa.nodc:0081028_Not Applicable Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship S. A. AGULHAS in the South Atlantic Ocean and the Southern Oceans (> 60 degrees South) from 2008-09-04 to 2010-05-20 (NCEI Accession 0081028) NOAA_NCEI STAC Catalog 2008-09-04 2010-05-20 -37.79, -70.63, 38.03, -33.82 https://cmr.earthdata.nasa.gov/search/concepts/C2089376120-NOAA_NCEI.umm_json GOUGH, MARION, SANAE Expeditions on board S. A. Agulhas data proprietary -gov.noaa.nodc:0083626_Not Applicable Carbon dioxide, temperature, and salinity collected via surface underway survey in the East Coast of the United States (northwestern Atlantic Ocean) during the Ocean Margins Program cruises (NCEI Accession 0083626) NOAA_NCEI STAC Catalog 1993-05-11 1996-10-17 -80.36, 27.46, -66.99, 41.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372286-NOAA_NCEI.umm_json NODC Accession 0083626 includes underway chemical and physical data collected from COLUMBUS ISELIN, ENDEAVOR, GYRE, OCEANUS, and SEWARD JOHNSON in the North Atlantic Ocean from 19930511 to 19961017 and retrieved during cruise LDEO Leg No: 9. These data include CARBON DIOXIDE - MOLE FRACTION - AIR, CARBON DIOXIDE - PARTIAL PRESSURE - DIFFERENCE, CARBON DIOXIDE - PARTIAL PRESSURE - SEA, SALINITY - SURFACE WATER, and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer, Carbon dioxide (CO2) shower head chamber equilibrator, and surface seawater intake. These data were collected by Taro Takahashi, David W. Chipman, John Goddard, and S. C. Sutherland of Lamont-Doherty Earth Observatory of Columbia University as part of OCEAN MARGINS PROGRAM. proprietary -gov.noaa.nodc:0084555_Not Applicable Chemical, physical, profile and other oceanographic data collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-07 to 2010-05-12 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084555) NOAA_NCEI STAC Catalog 2010-05-07 2010-05-12 -90.21514, 28.55052, -88.3529, 29.12144 https://cmr.earthdata.nasa.gov/search/concepts/C2089372459-NOAA_NCEI.umm_json Chemical, physical, profile, tows and underway oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-05-07 to 2010-05-12 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, fluorescence, suspended solids, temperature and turbidity. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer and fluorometer along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084555) proprietary -gov.noaa.nodc:0084569_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-05 to 2010-06-07 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084569) NOAA_NCEI STAC Catalog 2010-06-05 2010-06-07 -90.5, 28.5, -88, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372484-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-05 to 2010-06-07 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084569) proprietary -gov.noaa.nodc:0084576_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-07 to 2010-06-09 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084576) NOAA_NCEI STAC Catalog 2010-06-07 2010-06-09 -88.5, 29.5, -86.37, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372492-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-07 to 2010-06-09 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084576) proprietary -gov.noaa.nodc:0084578_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-09 to 2010-06-16 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084578) NOAA_NCEI STAC Catalog 2010-06-09 2010-06-16 -88.45, 29.75, -86.67, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372501-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-09 to 2010-06-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The Hydrocarbon Sensor Array data are raw and provisional. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084578) proprietary -gov.noaa.nodc:0084579_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-18 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084579) NOAA_NCEI STAC Catalog 2010-06-18 2010-06-23 -88.05, 29.2, -86.67, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372512-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-18 to 2010-06-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The Hydrocarbon Sensor Array data are raw and provisional. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084579) proprietary -gov.noaa.nodc:0084580_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-24 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084580) NOAA_NCEI STAC Catalog 2010-06-24 2010-06-29 -88.65, 28.7, -85.5, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372520-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-06-24 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084580) proprietary -gov.noaa.nodc:0084581_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-01 to 2010-07-09 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084581) NOAA_NCEI STAC Catalog 2010-07-01 2010-07-09 -88.5, 26.75, -82.77, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372529-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-01 to 2010-07-09 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084581) proprietary -gov.noaa.nodc:0084582_Not Applicable Chemical, physical and profile oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-11 to 2010-07-13 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084582) NOAA_NCEI STAC Catalog 2010-07-11 2010-07-13 -88.3, 30, -85.75, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372539-NOAA_NCEI.umm_json Chemical, physical and profile oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-11 to 2010-07-13 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included CTD, fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084582) proprietary -gov.noaa.nodc:0084583_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-14 to 2010-07-19 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084583) NOAA_NCEI STAC Catalog 2010-07-14 2010-07-19 -88.51, 28.32, -87.7, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372549-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-14 to 2010-07-19 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084583) proprietary -gov.noaa.nodc:0084584_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-21 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084584) NOAA_NCEI STAC Catalog 2010-07-21 2010-07-23 -88.5, 28.5, -88, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372559-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-21 to 2010-07-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084584) proprietary -gov.noaa.nodc:0084585_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-25 to 2010-07-28 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084585) NOAA_NCEI STAC Catalog 2010-07-25 2010-07-28 -90.5, 28.5, -88, 30.53 https://cmr.earthdata.nasa.gov/search/concepts/C2089372566-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-25 to 2010-07-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084585) proprietary -gov.noaa.nodc:0084586_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-28 to 2010-08-09 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084586) NOAA_NCEI STAC Catalog 2010-07-28 2010-08-09 -92, 27.5, -85, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089372575-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-07-28 to 2010-08-09 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084586) proprietary -gov.noaa.nodc:0084587_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-13 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084587) NOAA_NCEI STAC Catalog 2010-08-13 2010-08-23 -90.5, 28.5, -85.75, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089372589-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-13 to 2010-08-23 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The Hydrocarbon Sensor Array data are raw and provisional. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084587) proprietary -gov.noaa.nodc:0084588_Not Applicable Chemical oceanographic data collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-27 to 2010-09-01 in response to the Deepwater Horizon Oil Spill event (NCEI Accession 0084588) NOAA_NCEI STAC Catalog 2010-08-27 2010-09-01 -90.5, 28.5, -87, 30.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089372622-NOAA_NCEI.umm_json Chemical oceanographic data were collected aboard the RYAN CHOUEST in the Gulf of Mexico from 2010-08-27 to 2010-09-01 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Total Petroleum Hydrocarbons (TPH) and fluorescence. The instruments used to collect these data included fluorometer and gas chromatograph along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. The Hydrocarbon Sensor Array data are raw and provisional. (NODC Accession 0084588) proprietary -gov.noaa.nodc:0084994_Not Applicable Benthic Sampling Adjacent to the Waianae Ocean Outfall, Oahu, Hawaii, 2001-2010 (NCEI Accession 0084994) NOAA_NCEI STAC Catalog 2001-05-01 2010-06-05 -158.21, 21.421, -158.182, 21.45 https://cmr.earthdata.nasa.gov/search/concepts/C2089372831-NOAA_NCEI.umm_json Annual surveys are undertaken to sample bottom-sediment for biological and geochemical analyses at six stations at a depth of approximately 34 m in the vicinity of the Waianae Wastewater Treatment Plant outfall diffuser on the leeward coast of Oahu, Hawaii. All stations had sediment fractions with >90% sand. Silt fractions were no more than 4% at any station. Oxidation-reduction-potential (ORP) and total-volatile-solids measurements of these sediments indicated a nonreducing benthic environment at all stations. This data set contains examination of the sediments for species, abundance, and richness of nonmollusks, crustacean, molluscan, nematode, oligochaete, and polychaete faunas. A PDF document provides annual summaries for 2001-2010 while data files hold similar data for 2006-2009. proprietary -gov.noaa.nodc:0087872_Not Applicable Chemical and physical oceanographic data collected from numerous vessels in the Gulf of Mexico in response to the Deepwater Horizon Oil Spill event and compiled for the Joint Analysis Group summary report: NOAA Technical Report NOS OR&R 27 (NCEI Accession 0087872) NOAA_NCEI STAC Catalog 2010-05-08 2010-11-12 -93.3985, 24.2521, -80.5187, 29.4874 https://cmr.earthdata.nasa.gov/search/concepts/C2089373192-NOAA_NCEI.umm_json The Deepwater Horizon Joint Analysis Group (JAG) for Surface and Sub-Surface Oceanography, Oil and Dispersant Data was a working group with membership from federal agencies, BP, and academia that was formed to analyze sub-surface oceanographic data being derived from the on-going coordinated sampling efforts by private, federal and academic scientists as part of the spill response. The goal of the JAG was to provide comprehensive characterization of the Gulf of Mexico sub-surface conditions as well as the fate and transport of dispersed petroleum as a result of the Deepwater Horizon oil spill. JAG findings were published in a series of reports for the Unified Area Command as well as the public. This accession contains Total Petroleum Hydrocarbon and Volatile Organic Analysis data from laboratory analysis, as well as in situ Chromophoric Dissolved Organic Matter and dissolved oxygen data. This dataset was compiled as part of the final JAG summary report, and referred to in Appendix 3 of that report, NOAA Technical Report NOS OR&R 27 (2012). proprietary -gov.noaa.nodc:0094007_Not Applicable Application of the Coastal and Marine Ecological Classification Standard (CMECS) Water Column Component (WC) to data derived by the Naval Research Lab (NRL) Automated Processing System (APS) modeling of Moderate Resolution Imaging Spectroradiometer (MODIS) Imagery from the Aqua Earth Orbiting Satellite (EOS) PM in the Northern Gulf of Mexico from 2005-01 to 2009-12 (NCEI Accession 0094007) NOAA_NCEI STAC Catalog 2005-01-01 2009-12-31 -98.1, 25.2, -81.1, 30.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089373769-NOAA_NCEI.umm_json Satellite-derived data for sea surface temperature, salinity, chlorophyll; euphotic depth; and modeled bottom to surface temperature differences were evaluated to assess the utility of these products as proxies for in situ measurements. The data were used to classify surface waters in three regions of the Gulf of Mexico using subcomponents and modifiers from the Coastal and Marine Ecological Classification Standard (CMECS) Water Column Component (WC) to determine if CMECS categories could be affectively used to categorize in situ data into meaningful management units. The Naval Research Laboratory at the Stennis Space Center (NRL/SSC) processed MODIS-Aqua satellite imagery covering the Gulf of Mexico from January 2005 to December 2009. Daily, level-1B image files from the NASA LAADS Web were processed through the NRL/SSC Automated Processing System (APS). Sea surface temperature and salinity were classified into CMECS WC temperature and salinity subcomponent categories, respectively.Three modifiers from the WC were also used for the pelagic classification: water column stability, productivity, and photic quality. Modeled bottom to surface temperature differences were used to assign classification for water column stability, surface chlorophyll was used to determine productivity, and euphotic depth was used to indicate the photic quality. Maps showing the CMECS Water Column Component classes for chlorophyll concentration, euphotic depth, sea surface salinity, sea surface temperature (HDF4), and bottom-to-surface temperatures (netCDF) were produced from the APS output images. proprietary -gov.noaa.nodc:0099263_Not Applicable Cephalopholis argus fish census and assemblage data from the West Hawaii Roi Removal Project 2010-2012 (NCEI Accession 0099263) NOAA_NCEI STAC Catalog 2010-11-01 2012-07-22 -155.841, 19.97524, -155.833, 19.98452 https://cmr.earthdata.nasa.gov/search/concepts/C2089374766-NOAA_NCEI.umm_json This project examined the results of the field manipulative experiment that has been set up to test the ecological effects of introduced roi on reef fish associations in West Hawaii. This on-going research project, which began in September 2010, evaluates the impact of roi removal by collaborating with local fishers to remove >90% of the roi from a patch reefs in Puako, West Hawaii. In situ observations of the introduced predatory grouper roi (Cephalopholis argus) were taken semi-annually within the coral reef ecosystem of Puako, northwest side of the Island of Hawaii October 2010 - July 2012. Visual fish transects were made at a depth range of 10-20 m. Tow board and standard visual belt transects were employed at control, reference, and treatment sites. Data include biometrics (length and weight) and biomass of roi, as well as an assemblage of other fish and feed guilds. Additional data on the movement of roi within the Puako area were collected using a fish tagging program followed by surveys for recapture and resighting. NODC Accession 0082197 contains similar data from November 2010 - June 2011. There is some overlap of data within 0082197 and the present accession. proprietary -gov.noaa.nodc:0110496_Not Applicable Carbon Isotope (d13C) in dissolved inorganic carbon and other physical and biogeochemical variables synthesized across the global ocean from February 17, 1991 to February 21, 2005 (NCEI Accession 0110496) NOAA_NCEI STAC Catalog 1991-02-17 2005-02-21 139.836, -70.9995, 120, 75.369 https://cmr.earthdata.nasa.gov/search/concepts/C2089372898-NOAA_NCEI.umm_json Measurements of d13C in DIC were compiled mainly from WOCE and CLIVAR cruises. The dataset also contains other physical and biogeochemical variables. proprietary -gov.noaa.nodc:0110657_Not Applicable AVHRR Pathfinder version 5.0 global 4km sea surface temperature (SST) cloud-screened monthly climatologies for 1985-2006 (NCEI Accession 0110657) NOAA_NCEI STAC Catalog 1985-01-01 2006-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089372907-NOAA_NCEI.umm_json This accession contains a global, 4km monthly sea surface temperature climatology derived from harmonic analysis of the AVHRR Pathfinder Version 5.0 sea surface temperature time series data for 1985-2006. The climatology is available as 12 separate files, each representing one month in a climatological year. The files are in hdf format. In addition to climatological sea surface temperature, each file contains standard deviation. It only uses Pathfinder 5.0 data with a quality flag value of 4 or greater. It is available as 12 separate files in Hierarchical Data Format Version 4 (HDF4). proprietary -gov.noaa.nodc:0115356_Not Applicable Atlantic Offshore Seabird Dataset Catalog, Atlantic Coast and Outer Continental Shelf, from 1938-01-01 to 2013-12-31 (NCEI Accession 0115356) NOAA_NCEI STAC Catalog 1938-01-01 2013-12-31 -99.8626, 23.3786, -51.935, 64.9086 https://cmr.earthdata.nasa.gov/search/concepts/C2089374711-NOAA_NCEI.umm_json Several bureaus within the Department of Interior compiled available information from seabird observation datasets from the Atlantic Outer Continental Shelf into a single database, with the goal of conducting research and informing coastal and offshore planning activities. The cooperators were the Bureau of Ocean Energy Management's (BOEM) Environmental Studies Program (www.boem.gov/Environmental-Stewardship/Environmental-Studies/Environmental-Studies.aspx), the U.S. Fish and Wildlife Service's (USFWS) Division of Migratory Bird Management (www.fws.gov/migratorybirds/) and the U.S. Geological Survey's (USGS) Patuxent Wildlife Research Center (www.pwrc.usgs.gov). The resulting product is the Atlantic Offshore Seabird Dataset Catalog, which characterizes the survey effort and bird observations that have been collected across space and time. As of December 2013, the database contains over 70 datasets from 1906-2013 with about 300,000 records of seabird observations. The data archived at NODC is comprised of roughly 50 datasets from 1938-2013 with about 260,000 observation records. This archive is a subset of the main database, excluding datasets from surveys where the scientific design was not specifically designed to sample marine birds (e.g. coastal portions of National Audubon Society's Christmas Bird Counts). The full archive of scientific data contains information on individual observations as well as survey effort. Each observation record has a unique point location, date and time, species and observation count. There may also be biological information related to the sighting, such as animal age or behavior. The survey effort information (i.e. weather variables) may have been recorded for each individual observation but was more often recorded at the transect (line along which the plane or boat traveled) level. The dataset contains data primarily for seabirds, but some other observations accompanied bird data submissions and were not discarded: marine mammals, turtles, fish, and non-biological sightings such as other boats, fishing gear and trash. The data archived at the NODC is in .csv format, with an associated file detailing the data structure in .csv format. A detailed metadata record in Federal Geographic Data Committee (FGDC) format and a final report in .pdf format is included with these data. Data use must take into account use constraints (data limitations) listed within the included metadata record, and cite the Atlantic Offshore Seabird Dataset Catalog, USGS, 2013. proprietary -gov.noaa.nodc:0116100_Not Applicable Biological Data for Biological Baseline Studies of Mobile Bay: Benthic Fauna 1980-1981 (NCEI Accession 0116100) NOAA_NCEI STAC Catalog 1980-04-03 1981-02-26 -88.17333, 30.23833, -87.85167, 30.61333 https://cmr.earthdata.nasa.gov/search/concepts/C2089375644-NOAA_NCEI.umm_json Beginning in late 1979, the Alabama Coastal Area Board (CAB) funded a series of baseline surveys on the coastal resources of Alabama, from which they could develop a monitoring program to observe any significant changes in the resources over time. Eight stations within Mobile Bay, Alabama were sampled monthly from April 1980 to April 1981. Data collected included samples for benthic fauna, pelagic fauna, sediment particle size, total organic carbon, foraminifera, zooplankton, phytoplankton, chlorophyll, turbidity, river flow, and hydrographic parameters. The subset of data presented here are for the benthic fauna, which were sampled by 0.1 m^2 Peterson grab. Fauna were enumerated and identified to the lowest taxon possible, and mainly included crustaceans, molluscs, polychaetes, and echinoderms. Data in readily accessible digital form are available from April 1980 to February 1981. proprietary -gov.noaa.nodc:0116390_Not Applicable Chemical and Physical Data of the Coastal Environment in Mobile Bay, Alabama collected by Citizen Monitoring from January 1991 to December 1993 (NCEI Accession 0116390) NOAA_NCEI STAC Catalog 1991-01-02 1993-12-29 -88.1683, 30.2718, -87.45, 30.8335 https://cmr.earthdata.nasa.gov/search/concepts/C2089375708-NOAA_NCEI.umm_json The Water Quality Act of 1987 established the National Estuary Program, which has as one of its objectives the formation of citizen groups for monitoring the quality of coastal waters. One such group that formed to monitor Mobile Bay was called Baywatch. Under the guidance of Dr. George Crozier of the Dauphin Island Sea Lab (DISL), and in association with the Mobile Field Office of the Alabama Department of Environmental Management (ADEM), citizens were trained to collect and analyze water samples once a week between 10am and 2pm for 50 stations located in the Mobile Bay delta, Mississippi Sound, Weeks Bay, Perdido Bay, and several local streams. Parameters measured included water temperature, salinity, dissolved oxygen, turbidity, air temperature, and rainfall. Water temperature, salinity, and dissolved oxygen were measured from both surface and bottom waters where possible. The purpose of this study was to provide a better understanding of the processes affecting the waters of coastal Alabama. proprietary -gov.noaa.nodc:0117507_Not Applicable Biological, physical, and chemical data collected from inshore and shelf surface waters in Alabama from 2009-07 to 2011-12 (NCEI Accession 0117507) NOAA_NCEI STAC Catalog 2009-07-01 2011-12-31 -88.2116, 29.79887, -88.0113, 30.4374 https://cmr.earthdata.nasa.gov/search/concepts/C2089372460-NOAA_NCEI.umm_json Quantifying the linkages between primary production and higher trophic levels is necessary to understand why particular regions can support high fisheries production. Modified dilution experiments were employed to characterize microbial communities in surface waters at four sites from within a bay to the shelf in the northern Gulf of Mexico (nGOM). Inshore surface waters were more variable than shelf surface waters due to the strong influence of river discharge. Phytoplankton (Chl a) and prokaryote biomass were both significantly higher inshore than on the shelf, with phytoplankton significantly higher than prokaryotes inshore. Virus and heterotrophic nanoflagellate abundances, however, did not differ between inshore and shelf waters. Samples were amended with nutrients (N + P) to examine the impact of nutrient limitation. Prokaryotes were nutrient limited in 14 (28%) of the experiments, while phytoplankton were nutrient limitated in 26 (52%) of the experiments. When phytoplankton were nutrient limited, prokaryote growth rates were significantly altered. A similar impact on phytoplankton growth rates occurred when prokaryotes were nutrient limited, suggesting that the two groups are in competition for resources. Grazing was detected in the majority of experiments, while viral lysis was only detected in 24% of phytoplankton and 12% of prokaryote experiments. Growth and grazing rates for both phytoplankton and prokaryotes were tightly coupled inshore and on the shelf, with significantly more phytoplankton and prokaryotes grazed inshore (average = 106% and 75%, respectively) than on the shelf (average = 55% and 57%). These findings indicate that surface waters across the estuary are highly productive, with microzooplankton grazing transferring the majority of the microbial production to higher trophic levels. proprietary -gov.noaa.nodc:0117516_Not Applicable Biological, physical, and chemical data from trawl surveys in coastal waters of Alabama and Mississippi from 28 Apr 2010 to 13 Oct 2011 (NCEI Accession 0117516) NOAA_NCEI STAC Catalog 2010-04-28 2011-10-13 -88.6, 30.1, -87.7, 30.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089372472-NOAA_NCEI.umm_json Fishes and macroinvertebrates were collected using a 12.8m semi-balloon trawl with 5cm mesh in spring and fall of 2010 and 2011 in the coastal waters of Alabama and Mississippi. All species were identified to the lowest possible taxonomic level and counted. A wet weight estimate of total biomass (+ grams) was attained for each species using portable spring scales. Finfish collected in 2010 were measured for length (standard, fork, and/or total as appropriate). proprietary -gov.noaa.nodc:0117688_Not Applicable Baseline Data Collection Experimental Monitoring Program (MESC-COE Gaillard Island 1977-1982): Hydrography, Sediments, and Benthic Fauna (NCEI Accession 0117688) NOAA_NCEI STAC Catalog 1977-11-03 1982-08-25 -88.071, 30.27, -87.573, 30.776 https://cmr.earthdata.nasa.gov/search/concepts/C2089372626-NOAA_NCEI.umm_json Data from a set of studies that ran from 1977-1978, and 1980-1982, around the site of Gaillard Island, Mobile Bay, Alabama, before, during, and after its construction (1979-1981). Extant data from the MESC Data Management System include sediment particle size distribution (001), identification and enumeration of benthic fauna (002), discrete hydrography and turbidity (003) during and after island construction, and discrete hydrography and turbidity before island construction (004). proprietary -gov.noaa.nodc:0117942_Not Applicable Biological, chemical, and physical data from the Phytoplankton Monitoring Network from 2001-09-13 to 2013-03-07 (NCEI Accession 0117942) NOAA_NCEI STAC Catalog 2001-09-13 2013-03-07 -156.459, 18.35023, -64.8654, 59.7255 https://cmr.earthdata.nasa.gov/search/concepts/C2089372883-NOAA_NCEI.umm_json The Phytoplankton Monitoring Network (PMN) is a part of the National Centers for Coastal Ocean Science (NCCOS). The PMN was created as an outreach program to connect volunteers and professional scientists in the monitoring of marine phytoplankton and harmful algal blooms (HABs). NOAA staff train volunteers on sampling techniques and identification methods for marine phytoplankton. There are over 50 genera, including 10 potentially toxin producing genera, of dinoflagellates and diatoms on the volunteers watch list. A qualitative collection of data that includes salinity, temperature, depth, wind speed and direction, phytoplankton counts and abundance ratios obtained from surface tows in the estuarine and marine environments. proprietary -gov.noaa.nodc:0118497_Not Applicable Benthic sediment data from eleven stations in the Mobile-Tensaw River Delta, Alabama on 1981-06-17 (NCEI Accession 0118497) NOAA_NCEI STAC Catalog 1981-06-17 1981-06-17 -88.073, 30.696, -87.97, 31.117 https://cmr.earthdata.nasa.gov/search/concepts/C2089373081-NOAA_NCEI.umm_json Benthic sediment samples were collected from eleven stations in the Mobile-Tensaw River Delta on 17 June 1981. Samples were analyzed for particle size distribution characteristics. At least eight were near the wastewater discharge pipes of industrial sites, and at least two were not near potential sources of water pollution. proprietary -gov.noaa.nodc:0118498_Not Applicable Assimilation of Oil-Derived Elements by Oysters Due to the Deepwater Horizon Oil Spill in 2010 (NCEI Accession 0118498) NOAA_NCEI STAC Catalog 2008-06-30 2010-10-07 -88.46327, 30.23994, -87.51488, 30.40594 https://cmr.earthdata.nasa.gov/search/concepts/C2089373091-NOAA_NCEI.umm_json This dataset contains stable isotope ratios of carbon and nitrogen in oyster shell, suspended particulate matter (SPM), and oil from the Deepwater Horizon oil spill. Shell material was sampled from oysters grown at five sites along the Mississippi-Alabama coast and in Mobile Bay before, during, and after the spill (June 2008, April-July 2010). Samples of SPM were collected from the same or equivalent sites and timeframes. Oil samples came from tar balls, mats, and semisolid oil forms collected from sediments along the shoreline from the Florida-Alabama border to Petit Bois Island in Mississippi. For all samples, the stable isotope ratios of carbon and nitrogen were determined. Oyster shell samples were also analyzed for six trace and minor elements which have been highlighted for use in detection of hydrocarbon pollution (Cd, Co, Mo, Ni, Pd, V). proprietary -gov.noaa.nodc:0118500_Not Applicable Biological and physical geospatial data from St. Croix East End Marine Park, U.S. Virgin Islands from 6 Feb 2001 to 18 May 2012 (NCEI Accession 0118500) NOAA_NCEI STAC Catalog 2001-02-06 2012-05-18 -64.9199, 17.6376, -64.4514, 17.8271 https://cmr.earthdata.nasa.gov/search/concepts/C2089373110-NOAA_NCEI.umm_json The National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment, Biogeography Branch (CCMA-BB) worked with partners to assess and characterize the marine environment in and around the St. Croix East End Marine Park. The Park was established in 2003. At the time of creation there were substantial data gaps hindering baseline establishments to measure performance of the management zones. NCCOS and territorial partners characterized the land and seascape conditions and the marine communities within the park zones. These characterizations revealed relevant threats to the coral reef ecosystem health and are essential for management actions. Relating data collected in the field back to habitat and bathymetric maps, CCMA-BB is then able to model and map species level and community level information. Data within this set contain Acropora species, Nassau grouper, and other fauna of special concern (i.e. conch, sea urchins, lobster, and the lionfish). There is also data containing benthic habitat survey zones and analyses, land characterization (such as dirt road location, land development index, and landcover data), fish richness, and the overall impact on the Park. Data is in geospatial maps and tables with associated metadata. proprietary -gov.noaa.nodc:0118680_Not Applicable Biological and chemical data determined in mesocosm experiments by Dauphin Island Sea Lab in June and August of 2011 (NCEI Accession 0118680) NOAA_NCEI STAC Catalog 2011-06-01 2011-09-01 -88.080239, 30.243423, -88.080239, 30.243423 https://cmr.earthdata.nasa.gov/search/concepts/C2089373185-NOAA_NCEI.umm_json Abundances of viruses, prokaryotes, diatoms, dinoflagellates, ciliates and heterotrophic nanoflagellates were determined over time in mesocosm experiments measuring the effects of oil, dispersant and dispersed oil on the microbial loop. Two separate experiments were carried out in June and August 2011. Abundances in the treated mesocosms were compared to a no addition control and a glucose addition control. proprietary -gov.noaa.nodc:0118720_Not Applicable Biological, chemical, and physical data collected in Delaware Bay from 1997-09-02 to 1997-10-08 (NCEI Accession 0118720) NOAA_NCEI STAC Catalog 1997-09-02 1997-10-08 -75.6082, 38.5167, -74.723, 40.147 https://cmr.earthdata.nasa.gov/search/concepts/C2089373222-NOAA_NCEI.umm_json This study was based on the sediment quality triad (SQT) approach. A stratified probabilistic sampling design was utilized to characterize the Delaware Bay system in terms of chemical contamination, sediment toxicity (Microtox, amphipod bioassay; sea urchin gamete bioassay; and P450 biomarker) and benthic infaunal community structure. The purpose was to define the extent and magnitude of toxicity and other biological effects associated with contaminants in the Delaware estuary system from the fall line to the mouth of the Bay. This file contains data measured in the Delaware Bay Estuary and adjacent waters during 1997. Samples were collected for water and sediment analyses. proprietary -gov.noaa.nodc:0124257_Not Applicable Baseline characterization of benthic and coral communities of the Flower Garden Banks, Texas from 2010-05-01 to 2012-08-31 (NCEI Accession 0124257) NOAA_NCEI STAC Catalog 2010-05-01 2012-08-31 -93.87, 27.82, -93.57, 27.99 https://cmr.earthdata.nasa.gov/search/concepts/C2089375884-NOAA_NCEI.umm_json This study utilized ROV photograph transects to quantify benthic habitat and coral communities among the five habitat types (algal nodule, coralline algal reefs, deep reefs and soft bottom) identified in the Flower Garden Banks National Marine Sanctuary (FGBNMS). ROV surveys were conducted in the mid and lower mesophotic zone of the sanctuary (17-150 m) on both the East Bank and the West Bank. The FGBNMS represents the northernmost tropical western Atlantic coral reef on the continental shelf and support the most highly developed offshore hard bank community in the region. The complexity of habitats supports a diverse assemblage of organisms including approximately 250 species of fish, 23 species of coral, and 80 species of algae in addition to large sponge communities. Understanding and monitoring these resources is critical to both sanctuary inventory and management activities. During the course of the sanctuaryÂs management plan review process, the impact of fishing was identified as a priority issue, and the concept of a research only area was suggested. The purpose of this project is to provide baseline data for all benthic habitats and coral communities. proprietary -gov.noaa.nodc:0125596_Not Applicable Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2009-03-18 to 2012-12-10 (NCEI Accession 0125596) NOAA_NCEI STAC Catalog 2009-03-18 2012-12-10 -51.493, -34.504, -44.498, -34.499 https://cmr.earthdata.nasa.gov/search/concepts/C2089376227-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0125597_Not Applicable Acoustic travel time, bottom pressure, and near bottom current velocities from inverted echo sounders in the Atlantic Ocean from 2004-09-27 to 2016-02-25 (NCEI Accession 0125597) NOAA_NCEI STAC Catalog 2004-09-27 2016-02-25 -76.84, 26.491, -72.004, 26.516 https://cmr.earthdata.nasa.gov/search/concepts/C2089376235-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:0127525_Not Applicable Abundance and behavior of parrotfishes (Labridae, Scarinae) in the upper Florida Keys from 2013-06-19 to 2013-07-30 (NCEI Accession 0127525) NOAA_NCEI STAC Catalog 2013-06-19 2013-07-30 -80.38, 25, -80.21, 25.22 https://cmr.earthdata.nasa.gov/search/concepts/C2089376534-NOAA_NCEI.umm_json To better understand the functional roles of parrotfishes on Caribbean coral reefs we documented abundance, habitat preferences, and diets of nine species of parrotfishes (Scarus coelestinus, Scarus coeruleus, Scarus guacamaia, Scarus taeniopterus, Scarus vetula, Sparisoma aurofrenatum, Sparisoma chrysopterum, Sparisoma rubripinne, Sparisoma viride) on three high-relief spur-and-groove reefs (Molasses, Carysfort, and Elbow) offshore of Key Largo in the Florida Keys National Marine Sanctuary. On each reef, we conducted fish surveys, behavioral observations, and benthic surveys in three habitat types: high-relief spur and groove (depth 2 - 6 m), low-relief carbonate platform/hardbottom (depth 4 - 12 m), and carbonate boulder/rubble fields (depth 4 - 9 m). In addition, fish surveys were also conducted on a fourth high-relief spur-and-groove reef (French). We estimated parrotfish abundance in each of the three habitat types in order to assess the relative abundance and biomass of different species and to quantify differences in habitat selection. To estimate parrotfish density, we conducted 20 to 30 minute timed swims while towing a GPS receiver on a float on the surface to calculate the amount of area sampled. During a swim the observer would swim parallel with the habitat type being sampled and count and estimate the size to the nearest cm of all parrotfishes greater than or equal to 15 cm in length that were encountered in a 5 m wide swath. To quantify parrotfish behavior, approximately six individuals of each species were observed at each site for 20 min each. Foraging behavior was recorded by a SCUBA diver while towing a GPS receiver (Garmin GPS 72) attached to a surface float, which obtained position fixes of the focal fish at 15 s intervals. Fish were followed from a close distance (~ 2 m when possible), and food items were identified to the lowest taxonomic level possible, with macroalgae and coral usually identified to genus or species. Many bites involved scraping or excavating substrate colonized by a multi-species assemblage of filamentous âturfâ algae and crustose coralline algae (CCA). Thus, multiple species of filamentous algae, endolithic algae, and CCA could be harvested in a single bite, and it was impossible to determine the specific species of algae targeted. We also recorded the type of substrate targeted during each foraging bout, categorizing each substrate as one of the following: (1) dead coral, (2) coral pavement, (3) boulder, (4) rubble, or (5) ledge. Dead coral included both convex and concave surfaces on the vertical and horizontal planes of three dimensional coral skeletons (primarily dead Acropora palmata) that were attached to reef substrate. Coral pavement was carbonate reef with little topographic complexity (i.e., flat limestone pavement). Boulder was large remnants of dead mounding corals not clearly attached to the bottom and often partially buried in sand. Coral rubble consisted of small dead coral fragments (generally < 10 cm in any dimension) that could be moved with minimal force. Ledges consisted entirely of the undercut sides of large spurs in the high-relief spur and groove habitat. In order to quantify the relative abundance of different food types, we estimated the percent cover of algae, coral, and other sessile invertebrates on each of the five substrates commonly targeted by parrotfishes (dead coral, coral pavement, boulder, rubble, or ledge) in 0.5 m x 0.5 m photoquadrats. We photographed a total of 8 haphazardly selected quadrats dispersed throughout the study site for each substrate type at each of the three sites (N = 24 quadrats per substrate type, N = 120 quadrats total). Each photoquadrat was divided into sixteen 12 cm x 12 cm sections which were individually photographed, and percent cover was estimated from 9 stratified random points per section (N = 144 point per quadrat). proprietary -gov.noaa.nodc:0128996_Not Applicable Benthic and biological data in the New York Bight from 2010-06-01 to 2012-05-31 (NCEI Accession 0128996) NOAA_NCEI STAC Catalog 2010-06-01 2012-05-31 -75, 37, -69, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2089376996-NOAA_NCEI.umm_json These data sets show the distribution of key species and habitats, such as seabirds, bathymetry, surficial sediments, deep sea corals, and oceanographic habitats. NOAAâs Biogeography Branch worked with the New York Department of State (DOS) to interpret existing ecological information and create these new data sets. New York plans to integrate this information with other ecological and human use data compiled by others (for example, The Nature Conservancy, Northeast Fisheries Science Center) and apply ecosystem-based management and plan for ocean uses. Many academic, state and federal and non-governmental organization partners contributed to this project with data, analyses and reviews. Project partners included: the University of Alaska, Biology and Wildlife Department; University of Texas, Institute for Geophysics; The Nature Conservancy, Mid-Atlantic Marine Program; the National Marine Fisheries Service (NMFS), Northeast Fisheries Science Center, and the NMFS, Deep-Sea Coral Research and Technology Program. proprietary -gov.noaa.nodc:0129395_Not Applicable Chlorophyll accessory pigments collected from NOAA Ship OSCAR ELTON SETTE in North Pacific Ocean from 2008-03-01 to 2011-04-01 (NCEI Accession 0129395) NOAA_NCEI STAC Catalog 2008-03-01 2011-04-01 -158, 26, -158, 36 https://cmr.earthdata.nasa.gov/search/concepts/C2089377189-NOAA_NCEI.umm_json These data represent the chlorophyll accessory pigments measured from discrete depth water samples collected in CTD-mounted 10 liter Niskin bottles as part of NOAA surveys in the central North Pacific Ocean north of Hawaii. Accessory pigments were measured post-survey at the University of Hawaii using HPLC methods. proprietary -gov.noaa.nodc:0130065_Not Applicable Chlorophyll A, hydrostatic pressure, and water density measurements collected from New Horizon in Gulf of California and North Pacific Ocean from 2004-07-14 to 2008-08-06 (NCEI Accession 0130065) NOAA_NCEI STAC Catalog 2004-07-14 2008-08-06 -120.5, 20.48, -106.48, 32.52 https://cmr.earthdata.nasa.gov/search/concepts/C2089377812-NOAA_NCEI.umm_json Extracted chlorophyll A, normalized to filtered volume, from suspended particulate material collected via Niskin bottle from the Gulf of California in the summers of 2004, 2005, and 2008, as well as from the Eastern Tropical North Pacific in 2008. proprietary -gov.noaa.nodc:0130929_Not Applicable AFSC/REFM: Isolation by distance (IBD) Alaskan fish stock structure modeling (NCEI Accession 0130929) NOAA_NCEI STAC Catalog 1980-01-01 2012-01-01 170, 50, -160, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2089378414-NOAA_NCEI.umm_json This model study examines several management strategies for two marine fish species subject to isolation-by-distance (IBD): Pacific cod in the Aleutian Islands (AI) and northern rockfish in the Eastern Bering Sea (EBS) and Aleutian Islands. A one-dimensional stepping stone model was used to model isolation by distance, and was intended to mimic regions where marine species are exploited along a continental shelf. The performance of spatial assessment and management methods depended on how the range was split. Splitting anywhere within the managed area led to fewer demes falling below target and threshold biomass levels and higher yield than managing the entire area as a single unit. Equilibrium yield was maximized when each deme was assessed and managed separately and under catch cascading, in which harvest quotas within a management unit are spatially allocated based upon the distribution of survey biomass. The longer-lived rockfish declined more slowly than Pacific cod, and experienced greater depletion in biomass under disproportionate fishing effort due to lower productivity. Overall, splitting a management area of the size simulated in the model improved performance measures, and the optimal management strategy grouped management units by demes with similar relative fishing effort. proprietary -gov.noaa.nodc:0131425_Not Applicable Bowhead Whale Feeding Ecology Study (BOWFEST): Aerial Survey in Chukchi and Beaufort Seas conducted from 2007-08-23 to 2011-09-16 (NCEI Accession 0131425) NOAA_NCEI STAC Catalog 2007-08-23 2011-09-16 -157.33, 70.79, -151.84, 72.05 https://cmr.earthdata.nasa.gov/search/concepts/C2089378614-NOAA_NCEI.umm_json The Bowhead Whale Feeding Ecology Study (BOWFEST) was initiated in May 2007 through an Interagency Agreement between the Bureau of Ocean Energy Management (BOEM) (formerly Minerals Management Service (MMS)) and the National Marine Mammal Laboratory (NMML). This was a multi-disciplinary study involving oceanography, acoustics, tagging, stomach sampling and aerial surveys and included scientists from a wide range of institutions (Woods Hole Oceanographic Institution (WHOI), University of Rhode Island (URI), University of Alaska Fairbanks (UAF), University of Washington (UW), Oregon State University (OSU), North Slope Borough (NSB), and NMML. The data described and presented here are only from the aerial survey component of this larger study. The focus of the aerial survey was to document patterns and variability in the timing and locations of bowhead whales. Using a NOAA Twin Otter, scientists from NMML conducted aerial surveys from mid-August to mid-September during this five year study between years 2007-2011. Surveys were conducted in the BOWFEST study area (continental shelf waters between 157 degree W and 152 degree W and from the coastline to 72 degree N, with most of the effort concentrated between 157 degree W and 154 degree W and between the coastline and 71 degree 44'N). proprietary -gov.noaa.nodc:0131862_Not Applicable Cetacean line-transect survey conducted in the eastern Bering Sea shelf by Alaska Fisheries Science Center, National Marine Mammal Laboratory from NOAA Ship Miller Freeman from 1999-07-07 to 2004-06-30 (NCEI Accession 0131862) NOAA_NCEI STAC Catalog 1999-07-07 2004-06-30 -178.9167, 53.9212, -153.451, 63.0152 https://cmr.earthdata.nasa.gov/search/concepts/C2089378822-NOAA_NCEI.umm_json Visual surveys for cetaceans were conducted on the eastern Bering Sea shelf along transect lines, in association with the AFSCâs echo integration trawl surveys for walleye pollock. Surveys in 2000 and 2004 were from early June to early July, the survey in 2002 was from early June to late July, and the survey in 1999 was from early July to early August. Searches for cetaceans were conducted from the flying bridge of NOAA Ship Miller Freeman at a platform height of 12 m above the sea surface and survey speed of 18.5 22.0 km/h (10 12 kts). North south transect lines were spaced 37 km apart and defined by the historical acoustic survey for walleye pollock. Insufficient funding precluded including cetacean observers on all legs except in 2002. See Friday et al. 2012. Cetacean distribution and abundance in relation to oceanographic domains on the eastern Bering Sea shelf: 1999-2004 (http://www.sciencedirect.com/science/article/pii/S0967064512000100). proprietary -gov.noaa.nodc:0133936_Not Applicable Beluga whales aerial survey conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 1993-06-02 to 2014-06-12 (NCEI Accession 0133936) NOAA_NCEI STAC Catalog 1993-06-02 2014-06-12 -154.28, 58.82, -148.96, 61.63 https://cmr.earthdata.nasa.gov/search/concepts/C2089379076-NOAA_NCEI.umm_json The National Marine Fisheries Service (NMFS) has conducted aerial counts of Cook Inlet beluga whales (Delphinapterus leucas) from 1993 to 2014 (excluding 2013). Nearly all counts were conducted during the month of June. The routine nature of these counts and the consistency in research protocol lend themselves to inter-annual trend analyses. Beginning in 2005, an aerial survey was added during the month of August to document calving groups within the upper Inlet (north of East and West Foreland). Research protocol has been based on paired observers on the shoreward side of the aircraft and a single observer and computer operator on the offshore side independently searching for marine mammals. Data on environmental conditions, time, location, species, and inclinometer angle were collected for each sighting. The counting protocol included multiple passes near each beluga group while simultaneously collecting video footage. The counting system and observer performance has been tested through paired, independent observational effort. Aerial observer counts are used to calculate median counts for each beluga group to provide a daily index for the population prior to calculating the abundance estimate. Video has been used to count the number of animals in the group to correct for missed animals in the observer counts (perception bias). One video camera had a lens set at a wide angle to view the entire beluga group while the second video camera was zoomed to approximately 10x to magnify a subsample of individual whales in the group. The zoomed video has been used to examine color ratios of white adults relative to smaller and darker juveniles and calves and correct for those individuals missed due to their size or coloration. Aerial counts and video footage of beluga whales provide the fundamental data used to calculate the abundance of and a calving index for the Cook Inlet population. The abundance estimates are applied to trends analyses to determine the status of the stock. Three datasets are included here that contain basic survey data such as latitude, longitude and sightings, as well as the counts of beluga whale groups made by the aerial observers and the results from video analysis from data collected on surveys from 1993-2012, and 2014. proprietary -gov.noaa.nodc:0133937_Not Applicable Bowhead whale aerial abundance survey conducted by Alaska Fisheries Science Center, National Marine Mammal Laboratory from 2011-04-19 to 2011-06-11 (NCEI Accession 0133937) NOAA_NCEI STAC Catalog 2011-04-19 2011-06-11 -164.42379, 68.987009, -148.41013, 71.974838 https://cmr.earthdata.nasa.gov/search/concepts/C2089379086-NOAA_NCEI.umm_json Aerial photographic surveys for bowhead whales were conducted near Point Barrow, Alaska, from 19 April to 6 June in 2011. Approximately 4,594 photographs containing 6,801 bowhead whale images were obtained (not accounting for resightings). The 2011 field season was very successful: we flew 36 out of 49 available days and conducted 49 flights in that time; we were grounded due to weather on 13 days. The longest period of time that we were grounded due to weather (low ceilings/fog) was three days. This occurred after the migration had slowed down, during a time when few whales passed the ice perches according to the ice-based visual survey. The 2011 migration was steady with several peaks (30 April, 4-5 May, 12 May), and then the migration rate slowed down considerably after 14 May. The photographs taken in 2011 are a significant contribution to the bowhead whale photographic catalogue. They will be used to calculate a population estimate that may be used for comparison with the 2011 ice-based estimate and will provide better precision in estimates of bowhead whale life-history parameters. proprietary -gov.noaa.nodc:0137093_Not Applicable Calcification Rates of Crustose Coralline Algae derived from Calcification Accretion Units (CAUs) deployed across American Samoa and the Pacific Remote Island Areas in 2010 and recovered in 2012 (NCEI Accession 0137093) NOAA_NCEI STAC Catalog 2010-01-25 2012-05-17 -176.624, -14.5596, -160.014, 16.7477 https://cmr.earthdata.nasa.gov/search/concepts/C2089379273-NOAA_NCEI.umm_json Laboratory experiments reveal calcification rates of crustose coralline algae are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. The data described here result from the use of calcification accretion units, or CAUs, to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. This effort is a partnership between CREP and Drs. Nicole Price of Bigelow Marine Laboratory and Jen Smith of Scripps Institution of Oceanography, who have extensive knowledge of marine benthic algal community ecology. CAUs are composed of two 10 x 10 centimeter (cm) flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos using stainless steel threaded rods. Calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over 2-3 year deployments. Due to the simple, low-cost design and analysis, statistically robust numbers of calcification plates can easily be deployed, recovered, and processed to provide estimates of net calcification, percent cover, and vertical accretion rates. CAUs have been deployed and replaced at existing, long-term monitoring sites during Pacific RAMP cruises, in accordance with protocols developed by Price et al. 2012. There are typically five CAU sites established at each location CREP visits with five units deployed at each site. The study provides information about Pacific-wide spatial patterns of algal calcification and accretion rates and serves as a basis for detecting changes associated with changing seawater chemistry due to ocean acidification. In conjuction with benthic community composition data (separate dataset), the calcification rates will aid in determining the magnitude of how ocean acidification affects coral reefs in the natural environment. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive, accession 0137093. The reef study sites are throughout the Pacific Ocean, in areas with little or no direct local anthropogenic impacts and areas of anthropogenic impact. Pacific RAMP is an ideal platform from which to collect samples over a broad range of benthic ecosystems, oceanic regimes and gradients, to observe ecological impacts of ocean acidification on natural reef systems, outside of the laboratory. Analysis of these data will expand scientistsâ capacity for assessing coral reef resilience regarding the effects of ocean acidification outside of controlled laboratory experiments. These data can also be used in comparative analyses across natural gradients, thereby assisting efforts to determine whether key reef-building taxa can acclimatize to changing oceanographic environments. These data will have immediate, direct impacts on predictions of reef resilience in a higher CO2 world and on the design of reef management strategies. proprietary -gov.noaa.nodc:0138649_Not Applicable Bottom water temperature, salinity, pH, benthic cover, dissolved inorganic carbon and other data collected from NOAA Ship HI'IALAKAI and other in Northern Marianna Islands from 2014-05-17 to 2014-08-13 (NCEI Accession 0138649) NOAA_NCEI STAC Catalog 2014-05-17 2014-08-13 145.2074, 19.9964, 145.2316, 20.03215 https://cmr.earthdata.nasa.gov/search/concepts/C2089376259-NOAA_NCEI.umm_json These data correspond to that published in the analysis of the following manuscript: I.C. Enochs, Manzello, D.P., Donham, E.M., Kolodziej, G., Okano, R., et al. (in press) Shift from coral to macroalgae dominance on a volcanically acidified reef. Nature Climate Change. https://doi.org/10.1038/nclimate2758 proprietary -gov.noaa.nodc:0138863_Not Applicable Acoustics short-term passive monitoring using sonobuoys in the Bering, Chukchi, and Western Beaufort Seas conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 2007-08-01 to 2015-09-28 (NCEI Accession 0138863) NOAA_NCEI STAC Catalog 2007-08-01 2015-09-28 -177.5925, 53.52167, -141.62497, 72.86938 https://cmr.earthdata.nasa.gov/search/concepts/C2089376269-NOAA_NCEI.umm_json The National Marine Mammal Laboratory (NMML) has conducted passive acoustic monitoring in the Bering, Chukchi, and Western Beaufort Seas to determine spatio-temporal distribution of marine mammals as well as environmental and anthropogenic noise. Species and sounds detected on sonobuoys include fin, blue, bowhead, humpback, killer, gray, minke, sperm, beluga, sei, and North Pacific right whales, walrus, ribbon and bearded seals, and seismic airguns. This short-term passive acoustic monitoring was also used to locate vocalizing species of interest for photo-identification, tagging, and behavioral studies. Recordings are available since 2007 in the Bering Sea, since 2010 in the Chukchi and Beaufort Seas, and in 2013 in the Gulf of Alaska. Both omnidirectional and DiFAR sonobuoys have been used. The vast majority of the sonobuoys were deployed opportunistically along the tracks of research cruises funded by the Bureau of Ocean Energy Management (BOEM). In one year (2009), sonobuoys were deployed opportunistically from an aerial survey plane. All sonobuoys were provided by the United States Navy (Naval Operational Logistics Support Center, Naval Surface Warfare Center, Crance Division, and the Office of the Assistant Secretary of the Navy). proprietary -gov.noaa.nodc:0138984_Not Applicable Characterizing pinniped use of offshore oil and gas platforms as haulouts and foraging areas in waters off southern California from 2013-01-01 to 2015-01-31 (NCEI Accession 0138984) NOAA_NCEI STAC Catalog 2013-01-01 2015-01-31 -121, 33, -118, 35 https://cmr.earthdata.nasa.gov/search/concepts/C2089376321-NOAA_NCEI.umm_json California sea lions (Zalophus californianus) and Pacific harbor seals (Phoca vitulina) use offshore oil and gas platforms as resting and foraging areas. Both species are protected by the Marine Mammal Protection Act (1972). The Bureau of Ocean Energy Management (BOEM) is required to collect information from platforms being used by California sea lions and harbor seals (or other pinniped species) with the goal of meeting environmental review and permitting requirements associated with the eventual decommissioning of offshore platforms. Decommissioning requirements are under the jurisdiction of BOEMs sister agency, the Bureau of Safety and Environmental Enforcement (BSEE). However, BOEM provides environmental studies and environmental review support for BSEE actions. To accomplish this goal, BOEM entered an inter-agency agreement with the National Marine Mammal Laboratories' California Current Ecosystem Program (CCEP; AFSC/NOAA) in 2012. Specifically, BOEM funded CCEP to conduct a study (from January 2012 to January 2015) to characterize and quantify California sea lion and Pacific harbor seal use of the platforms, including; abundance, seasonal use patterns, and age and sex class composition of animals on the platforms. Inter- (i.e. spatial) and intra- (i.e. temporal) platform comparisons were examined. proprietary -gov.noaa.nodc:0140481_Not Applicable Bristol Bay Beluga hearing sensitivity data collected from 2012-09-02 to 2014-09-03 (NCEI Accession 0140481) NOAA_NCEI STAC Catalog 2012-09-02 2014-09-03 -159, 58.5, -158.2, 59.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089376409-NOAA_NCEI.umm_json Hearing sensitivity data was collected on beluga whales in Bristol Bay with auditory evoked potential (AEP) methods for the frequencies 4, 8, 11.2, 16, 22.5, 32, 45, 54, 80, 100, 128, 150 kHz in 7 belugas in 2012 and 9 in 2014. proprietary -gov.noaa.nodc:0143303_Not Applicable Acoustics long-term passive monitoring using moored autonomous recorders in the Bering, Chukchi, and Western Beaufort Seas conducted by Alaska Fisheries Scientific Center, National Marine Mammal Laboratory from 2007-08-15 to 2015-04-30 (NCEI Accession 0143303) NOAA_NCEI STAC Catalog 2007-08-15 2015-04-30 171.7, 53.63, -0.78, 78.837 https://cmr.earthdata.nasa.gov/search/concepts/C2089376734-NOAA_NCEI.umm_json The National Marine Mammal Laboratory (NMML) has deployed long-term passive acoustic recorders in various locations in Alaskan waters and in the High Arctic to determine spatio-temporal distribution of marine mammals as well as environmental and anthropogenic noise. Following the timing of peak calling among the various long-term recorders may provide some insight into finer-scale movements of cetaceans throughout the Bering, Chukchi, and Beaufort Seas. Changes in ambient noise levels can also be tracked. Recordings are available since 2007 in the Bering and Beaufort Seas, since 2010 in the Chukchi, and from 2008-2012 in Fram Strait. The majority of these recorders were deployed on NMML subsurface moorings, although several have been deployed on the oceanographic moorings of other researchers. Several different types of autonomous passive acoustic recorders have been deployed, most for one year. Recording parameters varied among instrument types and have evolved among projects. The majority of these recorders and deployments were funded by the Bureau of Ocean Energy Management (BOEM); however, several were funded by a grant from the Ocean Acoustics Program (NOAA/S and T). proprietary -gov.noaa.nodc:0143928_Not Applicable Benthic Habitats of the Florida Keys derived from color aerial photography collected between 1991-12 and March 1992 (NCEI Accession 0143928) NOAA_NCEI STAC Catalog 1991-12-01 1998-01-01 -83, 24.25, -80.2, 25.25 https://cmr.earthdata.nasa.gov/search/concepts/C2089376853-NOAA_NCEI.umm_json This project was a cooperative effort between the National Ocean Service and the Florida Department of Environmental Protection's Florida Marine Research Institute (now called the Fish and Wildlife Research Institute). The goal of the effort was to produce shallow-water (from 0 to approximately 30 m water depth) benthic habitat maps of the Florida Keys and adjacent waters. The maps were generated by expert visual interpretation of 1:48,000 scale color aerial photography and subsequent photogrammetric, stereo, digital compilation of interpreted habitat polygon boundaries from aerial photography. The Minimum mapping unit = 0.4 hectare (4,047 sq m; 1 acre) for all habitat. Patch reefs may be <0.5 ha. The aerial photography was acquired using a NOAA jet from December 1991 through March 1992. The photography was acquired with 60% side and 80% forward overlap to facilitate stereo compilation. Approximately 450 aerial photographs were acquired and used for the mapping project. Ground validation of interpreted habitat polygons was performed by visual verification at actual field sites prior to compilation. Aircraft Inertial Measurement Unit data were used to correct photography positioning in photogrammetric analytical plotters. The analytical solution used in the photogrammetric plotter for positioning was applied to bundles of 30-40 adjacent, overlapping aerial photographs. The stereo positioning of the photography was < 1 m. Digital data for bundles of compiled aerial photographs from the photogrammetric stereo plotter was imported into the ESRI ArcInfo GIS. The GIS was used to merge and edit the vector and attribute features of the 15 bundles to generate a mosaic benthic habitat map of the Florida Keys and adjacent areas covered by the aerial photography. Field validation of digitized habitat features visible in the aerial photography mosaics was performed to ensure correct interpretation. An assessment of the correctness of the interpreted digital map was performed by experts familiar with the the seafloor habitat found in the Florida Keys. proprietary -gov.noaa.nodc:0145165_Not Applicable California sea lion and northern fur seal censuses conducted at Channel Islands, California by Alaska Fisheries Science Center from 1969-07-31 to 2015-08-08 (NCEI Accession 0145165) NOAA_NCEI STAC Catalog 1969-07-31 2015-08-08 -120.5, 33, -119, 34.11 https://cmr.earthdata.nasa.gov/search/concepts/C2089377845-NOAA_NCEI.umm_json The National Marine Mammal Laboratories' California Current Ecosystem Program (AFSC/NOAA) initiated and maintains census programs for California sea lions (Zalophus californianus) and northern fur seals (Callorhinus ursinus) at San Miguel and San Nicolas Islands, California. The program documents annual pup births, pup mortality, and temporal patterns in adult and juvenile presence at San Miguel Island. For both species, the database contains field data on the annual number of live pups and dead pups by location. At San Miguel Island, daily counts of adults, pups, and juveniles in a sample area are also available. The data are used to describe population trends and changes in land resource use among the species. proprietary -gov.noaa.nodc:0146259_Not Applicable Capture and resight data of California sea lions in Washington State, 1989-02-15 to 2006-06-01 (NCEI Accession 0146259) NOAA_NCEI STAC Catalog 1989-02-15 2006-06-01 -132, 32, -122, 54.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089378578-NOAA_NCEI.umm_json This dataset contains data from the capture and recapture of over 1500 male California sea lions (Zalophus californianus) from Washington between 1989-2006. The data fields include capture data such as time, location, weight, length, and girth for each animal captured. The dataset also includes records of resights of each animal from records collected from observers from California to Vancouver Island, British Columbia, Canada. The dataset also contains information from opportunistic captures of Steller sea lions (Eumetopias jubatus) in the same region. proprietary -gov.noaa.nodc:0146680_Not Applicable Benthic Surveys in Vatia, American Samoa: benthic images collected during belt transect surveys from 2015-11-2 to 2015-11-12 (NCEI Accession 0146680) NOAA_NCEI STAC Catalog 2015-11-02 2015-11-12 -170.674, -14.2501, -170.667, -14.2432 https://cmr.earthdata.nasa.gov/search/concepts/C2089378606-NOAA_NCEI.umm_json Jurisdictional managers have expressed concerns that nutrients from the village of Vatia, Tutuila, American Samoa, are having an adverse effect on the coral reef ecosystem in Vatia Bay. Excess nutrient loads promote increases in algal growth that can have deleterious effects on corals, such as benthic algae outcompeting and overgrowing corals. Nitrogen and phosphorus can also directly impact corals by lowering fertilization success, and reducing both photosynthesis and calcification rates. Land-based contributions of nutrients come from a variety of sources; in Vatia the most likely sources are poor wastewater management from piggeries and septic systems. NOAA scientists conducted benthic surveys to establish a baseline against which to compare changes in the algal and coral assemblages in response to nutrient fluxes. The data described here were collected via belt transect surveys of coral demography (adult and juvenile corals) by the NOAA Coral Reef Ecosystem Program (CREP) according to protocols established by the NOAA National Coral Reef Monitoring Program (NCRMP). In 2015 data were collected at 18 stratified randomly selected sites in Vatia Bay. These data include photoquadrat benthic images. proprietary -gov.noaa.nodc:0146682_Not Applicable Benthic Surveys in Faga'alu, American Samoa: benthic images collected during belt transect surveys in 2012 and 2015 (NCEI Accession 0146682) NOAA_NCEI STAC Catalog 2012-03-28 2015-11-11 -170.681, -14.2952, -170.673, -14.287 https://cmr.earthdata.nasa.gov/search/concepts/C2089378626-NOAA_NCEI.umm_json The data described herein are part of a NOAA Coral Reef Conservation Program (CRCP) funded project aimed at establishing baseline data for coral demographics and benthic cover and composition via Rapid Ecological Assessment (REA) surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) at Faga'alu Bay, Tutuila, American Samoa between 2012 and 2015. Photoquadrat benthic images were collected in 2012 and 2015 only, via belt transect surveys of coral demography according to protocols established by CREP in 2012 and by the NOAA National Coral Reef Monitoring Program (NCRMP) in 2015. proprietary -gov.noaa.nodc:0147683_Not Applicable Bottom longline analytical data collected in Gulf of Mexico from 1995-01-01 to 2013-12-30 (NCEI Accession 0147683) NOAA_NCEI STAC Catalog 1995-01-01 2013-12-30 -97.3473, 24.3627, -81.5875, 30.3677 https://cmr.earthdata.nasa.gov/search/concepts/C2089378649-NOAA_NCEI.umm_json NOAA NMFS does not approve, recommend, or endorse any proprietary product or proprietary material mentioned in this publication. No reference shall be made to NMFS, or to this publication furnished by NMFS, in any advertising or sales promotion which would indicate or imply that NMFS approves, recommends, or endorses any proprietary product or proprietary material mentioned herein or which has as its purpose any intent to cause directly or indirectly the advertised product to be used or purchased because of this NMFS publication. NMFS is not responsible for any uses of these datasets beyond those for which they were intended, and NMFS makes no claims regarding the accuracy of any data provided by agencies or individuals outside NMFS. Acknowledgment of NOAA NMFS and SEAMAP would be appreciated in products derived or publications generated from this data. proprietary -gov.noaa.nodc:0148759_Not Applicable AIR TEMPERATURE, RELATIVE HUMIDITY, and others collected from Automatic Weather Station installed on rock outcrop in Helheim Glacier Ice Front from 2009-08-11 to 2016-02-20 (NCEI Accession 0148759) NOAA_NCEI STAC Catalog 2009-08-11 2016-02-20 -38.146, 66.329, -38.146, 66.329 https://cmr.earthdata.nasa.gov/search/concepts/C2089378741-NOAA_NCEI.umm_json The Helheim Glacier was observed to retreat and speed up during the mid 2000s. One possible cause of the change in glacier behavior could be due to changes in atmosphere properties, temperature, humidity, and wind. A research program was established to monitor the atmosphere conditions near the glacier during 2009-2013. proprietary -gov.noaa.nodc:0148760_Not Applicable AIR TEMPERATURE, RELATIVE HUMIDITY, and others collected from Automatic Weather Station installed on rock outcrop in Jakobshavn Glacier Ice Front from 2007-10-13 to 2016-02-14 (NCEI Accession 0148760) NOAA_NCEI STAC Catalog 2007-10-13 2016-02-14 -49.815, 69.222, -49.815, 69.222 https://cmr.earthdata.nasa.gov/search/concepts/C2089378750-NOAA_NCEI.umm_json The Jakobshavn Glacier was observed to retreat and speed up during the late 1990s and early 2000s. One possible cause of the change in glacier behavior could be due to changes in atmosphere properties, temperature, humidity, and wind. A research program was established to monitor the atmosphere conditions near the glacier during 2009-2013. proprietary -gov.noaa.nodc:0155488_Not Applicable Bottom Dissolved Oxygen Maps From SEAMAP Summer and Fall Groundfish/Shrimp Surveys from 1982 to 1998 (NCEI Accession 0155488) NOAA_NCEI STAC Catalog 1982-01-01 1998-01-01 -98, 18, -74, 37 https://cmr.earthdata.nasa.gov/search/concepts/C2089380245-NOAA_NCEI.umm_json Bottom dissolved oxygen (DO) data was extracted from environmental profiles acquired during the Southeast Fisheries Science Center Mississippi Laboratories summer groundfish trawl surveys of the Western and North-central Gulf of Mexico from 1982-1998. The data were distributed to hypoxia researchers in near real time and used to generate bottom DO maps as part of the Hypoxia Watch Project (http://www.ncddc.noaa.gov/hypoxia/). The profiles were acquired with a Sea-Bird Model SB9 profiler equipped with pressure, temperature, conductivity, fluorescence, and beam transmission sensors. The data were processed with Sea-Bird software using the standard processing protocol developed by the Mississippi Laboratories. Water temperature, beam transmission, and derived salinity, DO and DO percent saturation, and density were retained in the processed files. SAS software was used to extract the bottom DO and other relevant data (e.g., date, time, position, and station number) and format the data as comma-delimited ASCII files. proprietary -gov.noaa.nodc:0155948_Not Applicable CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ and Palmyra EEZ from 2011-10-20 to 2011-11-17 (NCEI Accession 0155948) NOAA_NCEI STAC Catalog 2011-10-20 2011-11-17 -165.19666, 4.1355, -156.3175, 21.221 https://cmr.earthdata.nasa.gov/search/concepts/C2089376252-NOAA_NCEI.umm_json Water samples were collected from the ocean surface using a bucket and from below the surface using bottles attached to the CTD during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID: SE 11-08). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Surface water samples were also collected opportunistically during some cetacean sightings. CTD samples were collected once each morning. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet. proprietary -gov.noaa.nodc:0155964_Not Applicable CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ and Papahanaumokuakea Marine National Monument from 2013-05-08 to 2013-06-03 (NCEI Accession 0155964) NOAA_NCEI STAC Catalog 2013-05-08 2013-06-03 -177, -14.2446, -157.92, 28.79 https://cmr.earthdata.nasa.gov/search/concepts/C2089376312-NOAA_NCEI.umm_json Water samples were collected from the ocean surface using a bucket and from below the surface using bottles attached to the CTD during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID SE 13-03). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Surface water samples were also collected opportunistically during some cetacean sightings. CTD samples were collected once each morning. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet. proprietary -gov.noaa.nodc:0155998_Not Applicable CHLOROPHYLL A CONCENTRATION collected from NOAA Ship OSCAR ELTON SETTE in Hawaii EEZ, Palmyra EEZ, and American Samoa EEZ from 2012-04-23 to 2012-05-15 (NCEI Accession 0155998) NOAA_NCEI STAC Catalog 2012-04-23 2012-05-15 -169.9633, -14.2446, -157.2218, 19.2698 https://cmr.earthdata.nasa.gov/search/concepts/C2089376410-NOAA_NCEI.umm_json Surface water samples were collected during a Pacific Islands Fisheries Science Center's Cetacean Research Program's shipboard cetacean survey (Cruise ID SE 12-03). A minimum of three surface water samples were taken each day, primarily at 0900, 1200, and 1500 hours local ship time. Samples were also collected opportunistically during some cetacean sightings. The 250ml water samples were filtered onto GF/F filters, placed in 10ml of 90% acetone, refrigerated or frozen for 24 hours, and then analyzed for chlorophyll a concentration using the Turner Designs model 10AU field flourometer. Measurements were recorded in an Excel spreadsheet. proprietary -gov.noaa.nodc:0156424_Not Applicable Absolute Geostrophic Velocity Inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156424) NOAA_NCEI STAC Catalog 1950-01-01 1996-12-31 -180, 58, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376812-NOAA_NCEI.umm_json The dataset (called EWG-V) comprises 3D gridded climatological fields of absolute geostrophic velocity inverted from the Environmental Working Group (EWG) Joint U.S.-Russian Atlas of the Arctic Ocean using the P-vector method. It provides a climatological velocity field that is dynamically compatible to the EWG (T, S) fields. The EWG-V velocity fields have the annual, and seasonal (winter and summer) means with the same horizontal resolution of 25 km and 90 vertical levels as the EWG temperature and salinity fields. proprietary -gov.noaa.nodc:0156425_Not Applicable Absolute Geostrophic Velocity Inverted from the Polar Science Center Hydrographic Climatology (PHC3.0) of the Arctic Ocean with the P-Vector Method (NCEI Accession 0156425) NOAA_NCEI STAC Catalog 1900-01-01 1998-12-31 -180, 45, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089376820-NOAA_NCEI.umm_json The dataset (called PHC-V) comprises 3D gridded climatological fields of absolute geostrophic velocity of the Arctic Ocean inverted from the Polar science center Hydrographic Climatology (PHC) temperature and salinity fields (version 3.0) using the P-vector method. It provides climatological annual, seasonal, and monthly mean velocity fields with the same horizontal resolution (1 deg in horizontal, 33 levels in vertical), and dynamical compatibility to the PHC3.0 (T, S) fields. proprietary -gov.noaa.nodc:0156692_Not Applicable Bioerosion Accretion Replicate (BAR) data covering in situ calcification and bioerosion rates along pH gradients at two volcanically acidified reefs in Papua New Guinea from 2013-01-18 to 2014-11-10 (NCEI Accession 0156692) NOAA_NCEI STAC Catalog 2013-01-18 2014-11-10 150.775, -9.875, 150.925, -9.725 https://cmr.earthdata.nasa.gov/search/concepts/C2089377345-NOAA_NCEI.umm_json "Bioerosion Accretion Replicate (BAR) data covering in situ calcification and bioerosion rates along pH gradients at two volcanically acidified reefs in Papua New Guinea. Methodologies, results, and analysis may be found in ""Enhanced macroboring and depressed calcification drive net dissolution at high-CO2 coral reef"" which is published in the Proceedings of the Royal Society, Series B" proprietary -gov.noaa.nodc:0156765_Not Applicable Age and Growth of Spotted Sea Trout in the Gulf of Mexico from 1994 to 1996 (NCEI Accession 0156765) NOAA_NCEI STAC Catalog 1994-05-06 1996-08-30 -87.6, 29.6, -84.7, 30.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089377384-NOAA_NCEI.umm_json These data sets contain raw and processed data to compare life history demographic information necessary to manage spotted seatrout in NW Florida. Specific objectives were to develop estuary-specific information on age growth, mortality rates, spawning seasonality, age size at maturity, and age size composition of the recreational fishery for Apalachicola, St. Joseph, St. Andrew, Choctawhatchee, Pensacola, and Perdido Bay systems. proprietary -gov.noaa.nodc:0156869_Not Applicable Captive sea turtle rearing inventory, feeding, and water chemistry in sea turtle rearing tanks at NOAA Galveston, Texas from 1995 to 2015 (NCEI Accession 0156869) NOAA_NCEI STAC Catalog 2005-01-03 2015-12-31 -94.819688, 29.274811, -94.81456, 29.278028 https://cmr.earthdata.nasa.gov/search/concepts/C2089377448-NOAA_NCEI.umm_json The database contains Excel and CSV spreadsheets monitoring captive Sea Turtle rearing program. Daily feeding logs as well as water chemistry were recorded. proprietary -gov.noaa.nodc:0156913_Not Applicable Carbonate Budget data of the Southeast Florida Coral Reef Initiative (SEFCRI) region from 2014-09-29 to 2014-10-17 (NCEI Accession 0156913) NOAA_NCEI STAC Catalog 2014-09-29 2014-10-17 -80.104, 25.6519, -80.077, 26.1636 https://cmr.earthdata.nasa.gov/search/concepts/C2089377484-NOAA_NCEI.umm_json This data set includes census based carbonate budget data that was collected in coral reef habitats located within the SEFCRI region. Surveys (based on Perry et al 2012) were collected over the course of several weeks at four major sites: Emerald, Oakland Ridge, Barracuda, and Pillars. Within each of these sites, six transect surveys (10m each) were conducted to quantify benthic cover, macrobioerosion, and microbioerosion. Ten parrotfish surveys were also conducted to account for parrotfish erosion rates at each site. This carbonate budget data along with other sea water chemistry data collected were used to inform the overall project looking at the sensitivity of the SEFCRI region to OA. We measured ambient seasonal variability across inshore/offshore reef habitats to predict the response of the CaCO3 budget of coral reefs in the SEFCRI region to ocean acidification. This data set includes all of the carbonate budget surveys that were collected to identify the sensitivity of the SEFCRI region to OA. proprietary -gov.noaa.nodc:0157022_Not Applicable Carbonate data collected from R/V Hildebrand in the SEFCRI region of the Florida Reef Tract from 2014-05-27 to 2015-09-02 (NCEI Accession 0157022) NOAA_NCEI STAC Catalog 2014-05-27 2015-09-02 -80.1328, 25.5906, -80.077, 26.1636 https://cmr.earthdata.nasa.gov/search/concepts/C2089377840-NOAA_NCEI.umm_json This data set includes seawater chemistry that was collected in coral reef habitats located within the SEFCRI region as well as inlets and outfalls that release nutrient rich and/or sediment laden freshwater to the coastal waters South Florida. Freshwater runoff and riverine inputs are known to be enriched in dissolved inorganic carbon, and diluted lower saline waters are known to have elevated pCO2 (e.g., Manzello et al. 2013) which is why those areas in addition to the reef sites were included in our analyses. This data along with other data collected in the field were used to inform the overall project looking at the sensitivity of the SEFCRI region to OA. We measured ambient seasonal variability across inshore/offshore reef habitats to predict the response of the CaCO3 budget of coral reefs in the SEFCRI region to ocean acidification. This data set includes all of the seawater samples that were collected and analyzed to identify the carbonate chemistry in this region. proprietary -gov.noaa.nodc:0157033_Not Applicable Atlantic Ocean Red Snapper Multi-gear CRP Project 2012 (NCEI Accession 0157033) NOAA_NCEI STAC Catalog 2012-07-25 2012-12-04 -81, 31, -76.5, 34 https://cmr.earthdata.nasa.gov/search/concepts/C2089377889-NOAA_NCEI.umm_json This data set contains information useful for red snapper stock assessment. The data set provided has count, weight, length, and location available of caught red snapper, red grouper, and other reef fishes. Catches were greatest in waters off Georgia, and declined with increasing latitude off South Carolina and North Carolina. proprietary -gov.noaa.nodc:0157074_Not Applicable ACOUSTIC TRAVEL TIME collected as part of the Sub-Antarctic Flux and Dynamics Experiment (SAFDE) from March 1995 to March 1997 (NCEI Accession 0157074) NOAA_NCEI STAC Catalog 1995-03-20 1997-03-28 143.63333, -52.08133, 143.805, -47.99867 https://cmr.earthdata.nasa.gov/search/concepts/C2089378023-NOAA_NCEI.umm_json Inverted echo sounder (IES) data were collected as part of the Sub-Antarctic Flux and Dynamics Experiment (SAFDE) during March 1995 -- March 1997 conducted south of Australia. The collection, processing and calibration of the IES data are described in the report provided. These are the highest quality versions of the data after the least amount of processing. Also provided are low-passed filtered versions that have been calibrated to a common pressure level in order that the data may be used together more conveniently. The measurements were made under the support of the National Science Foundation grants OCE9204041 and OCE9912320. proprietary -gov.noaa.nodc:0157087_Not Applicable Behavior of parrotfishes (Labridae, Scarinae) in St. Croix from 2015-07-06 to 2015-07-26 (NCEI Accession 0157087) NOAA_NCEI STAC Catalog 2015-07-06 2015-07-26 -64.813, 17.759, -64.608, 17.787 https://cmr.earthdata.nasa.gov/search/concepts/C2089378063-NOAA_NCEI.umm_json To better understand the functional roles of parrotfishes on coral reefs in the Caribbean this project documented the foraging behavior and diets of six species of parrotfishes (Scarus taeniopterus, Scarus vetula, Sparisoma aurofrenatum, Sparisoma chrysopterum, Sparisoma rubripinne, Sparisoma viride) at three locations (Long Reef, Cane Bay, and Buck Island) on the north shore of St. Croix, U. S. Virgin Islands. To quantify parrotfish behavior, approximately six individuals of each species were observed at each site for 20 min each. Foraging behavior was recorded by a SCUBA diver while towing a GPS receiver (Garmin GPS 72) attached to a surface float, which obtained position fixes of the focal fish at 15 s intervals. Fish were followed from a close distance (~ 2 m when possible), and food items were identified to the lowest taxonomic level possible, with macroalgae and coral usually identified to genus or species. Many bites involved scraping or excavating substrate colonized by a multi-species assemblage of filamentous âturfâ algae and crustose coralline algae (CCA). Thus, multiple species of filamentous algae, endolithic algae, and CCA could be harvested in a single bite, and it was impossible to determine the specific species of algae targeted. We also recorded the type of substrate targeted during each foraging bout, categorizing each substrate as one of the following: (1) dead coral, (2) coral pavement, (3) boulder, (4) rubble, (5) ledge, or (6) sand. In order to quantify the relative abundance of different substrates and food types, we estimated the percent cover of algae, coral, and other sessile invertebrates on each of the six substrates commonly targeted by parrotfishes (dead coral, coral pavement, boulder, rubble, ledge, and sand) in 0.5 m x 0.5 m photoquadrats. Photographs were taken at 2.5 m intervals on 30 m transects, with a total of 10 haphazardly placed transects sampled at each site. Each photoquadrat was divided into sixteen 12 cm x 12 cm sections which were individually photographed, and percent cover was estimated from 9 stratified random points per section (N = 144 point per quadrat). proprietary -gov.noaa.nodc:0157611_Not Applicable Benthic Images from Towed-Diver Surveys in the Main Hawaiian Islands to Assess the Mass Coral Bleaching Event from 2015-11-03 to 2015-11-18 (NCEI Accession 0157611) NOAA_NCEI STAC Catalog 2015-11-03 2015-11-18 -157.9472292, 19.748537, -155.829342, 21.3030689 https://cmr.earthdata.nasa.gov/search/concepts/C2089376905-NOAA_NCEI.umm_json A team from the Pacific Islands Fisheries Science Center (PIFSC), Coral Reef Ecosystem Program (CREP) deployed on a two-week research cruise in November 2015 to evaluate the impacts of the 2015 mass coral bleaching event in the Main Hawaiian Islands via towed-diver surveys. Areas surveyed included south Oahu, west Maui, Lanaâi, and west Hawaii island. Over the course of 10 survey days, the team surveyed approximately 90 km of 15-m wide transects at depths ranging from 2 to 10 m. Data provided in this dataset include benthic images that were collected during the towed-diver surveys from a camera that was mounted to the towboard. A downward-facing DSLR camera with strobes collected these photographic quadrat data by capturing an image of the benthos at 15-second intervals during the surveys. Two additional datasets were collected during the surveys and are documented separately. Towed divers recorded visual estimates of percentage of live coral that was pale and bleached, as well as presence/absence data of condition by generic composition. Oceanographic data was collected continuously throughout each survey with a suite of sensors mounted to the towboard recording conductivity, temperature, depth, flourometry (chlorophyll-a), turbidity and dissolved oxygen. proprietary -gov.noaa.nodc:0159386_Not Applicable Airborne eXpendable BathyThermographs (AXBT) data from Ocean Surveys in the Gulf of Mexico during Hurricane Lili 2002-10-02 to 2002-10-04 (NCEI Accession 0159386) NOAA_NCEI STAC Catalog 2002-10-02 2002-10-04 -88.672, 22.203, -84.062, 26.433 https://cmr.earthdata.nasa.gov/search/concepts/C2089377618-NOAA_NCEI.umm_json Airborne eXpendable BathyThermographs (AXBT) data from deployments during field operations to study Hurricane Lili. The data were used in model simulations for Uhlhorn and Shay (2013). This dataset contains water temperature and depth data for this cruise. proprietary -gov.noaa.nodc:0159419_Not Applicable ADCP, CTD, MIDAS, and cruise track data collected from R/V Pelican in Galveston and Trinity Bay, Texas and the Gulf of Mexico from 2013-10-17 to 2013-10-20 (NCEI Accession 0159419) NOAA_NCEI STAC Catalog 2013-10-17 2013-10-20 -94.9828, 26.16133, -88, 29.69641 https://cmr.earthdata.nasa.gov/search/concepts/C2089377667-NOAA_NCEI.umm_json Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, October 17-20 2013, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE14-10b was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data. proprietary -gov.noaa.nodc:0159850_Not Applicable Burrowing behavior of penaeid shrimps in the Gulf of Mexico from 1984-10-01 to 1985-12-06 (NCEI Accession 0159850) NOAA_NCEI STAC Catalog 1984-10-01 1985-12-06 -94.815127, 29.275417, -94.815127, 29.275417 https://cmr.earthdata.nasa.gov/search/concepts/C2089377792-NOAA_NCEI.umm_json This data set contains hourly visual observations of burrowing behavior in penaeid shrimp. proprietary -gov.noaa.nodc:0161311_Not Applicable A Comprehensive Inventory of Alabama Coastal Zone Wetland Habitats (Swamps, Marshes, Submersed Grassbeds) from 1980 to 1982 (NCEI Accession 0161311) NOAA_NCEI STAC Catalog 1979-01-01 1982-12-31 -88.431, 30.2129, -87.328, 31.0701 https://cmr.earthdata.nasa.gov/search/concepts/C2089378452-NOAA_NCEI.umm_json Digitized maps of Mobile Bay and other coastal areas of Alabama, showing habitat types and species compositions of the vegetation in three broad categories of wetland: swamps, marshes, and submersed grassbeds. All areas in the Alabama Coastal Zone of less than 10 feet elevation above sea level, up to the fork of the Tombigbee and Alabama Rivers, were included in the inventory. Habitat boundary delineations were based on aerial photographs from 1979 and 1980, with transects by boat or foot for field verification in 1980-1982. Dataset includes habitat type classifications based on species compositions, and identifications of dominant species at each location. proprietary -gov.noaa.nodc:0161523_Not Applicable Biological, chemical, physical and time series data collected from station WQB04 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2010-10-23 to 2016-12-31 (NCEI Accession 0161523) NOAA_NCEI STAC Catalog 2010-10-23 2016-12-31 -155.082, 19.7341, -155.082, 19.7341 https://cmr.earthdata.nasa.gov/search/concepts/C2089378474-NOAA_NCEI.umm_json NCEI Accession 0161523 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB04: PacIOOS Water Quality Buoy 04 (WQB-04): Hilo Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB04 is located in Hilo Bay on the east side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary -gov.noaa.nodc:0162518_Not Applicable ADCP, CTD, and MIDAS data collected from Ewing and Sackett Gulf Deep Banks, Gulf of Mexico on the R/V Pelican in Gulf of Mexico from 2012-11-15 to 2012-11-17 (NCEI Accession 0162518) NOAA_NCEI STAC Catalog 2012-11-15 2012-11-17 -91.20748, 27.49168, -89, 29.0029 https://cmr.earthdata.nasa.gov/search/concepts/C2089380274-NOAA_NCEI.umm_json Sampling of in situ seawater, macroalgae, macrocrustaceans and associated fauna (cruise GoMRI-II, November 15-17 2012, stns 1-18, data available for all) aboard the R/V Pelican cruise id PE13-14 was targeted to repeat sampling of previously studied hard banks and adjacent deep waters west of the mouth of the Mississippi River and extending east to offshore Alabama, an area encompassing roughly 27°58'N to 29°26'N and 87°34'W to 91°01'W. Submitted metadata are ADCP, CTD, Marks and Cruise Track Data. proprietary -gov.noaa.nodc:0162828_Not Applicable Benthic cover derived from analysis of benthic images collected at coral reef sites in Batangas, Philippines from 2015-05-23 to 2015-06-03 (NCEI Accession 0162828) NOAA_NCEI STAC Catalog 2015-05-23 2015-06-03 120.872, 13.6586, 120.895, 13.7281 https://cmr.earthdata.nasa.gov/search/concepts/C2089380438-NOAA_NCEI.umm_json The benthic cover data described here result from benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in 2015 along transects at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) over time. Benthic habitat photographs were quantitatively analyzed using a web-based annotation tool called CoralNet (Beijbom et al. 2016). Images were analyzed to produce three functional group levels of benthic cover: Tier 1 (e.g., hard coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Hard Coral = massive, branching, foliose, encrusting, etc.; Macroalgae = upright macroalgae, encrusting macroalgae, bluegreen macroalgae, and Halimeda, etc.), and Tier 3 (e.g., Hard Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). These benthic cover data for the Philippines provide an estimate of the benthic community composition at each climate survey site, and give context to the results from the other climate survey components (archived separately). proprietary -gov.noaa.nodc:0162829_Not Applicable Assessing cryptic reef diversity of colonizing marine invertebrates using Autonomous Reef Monitoring Structures (ARMS) deployed at coral reef sites in Batangas, Philippines from 2012-03-12 to 2015-05-31 (NCEI Accession 0162829) NOAA_NCEI STAC Catalog 2012-03-12 2015-05-31 120.871943, 13.658594, 120.895127, 13.728054 https://cmr.earthdata.nasa.gov/search/concepts/C2089380450-NOAA_NCEI.umm_json Autonomous Reef Monitoring Structures (ARMS) are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time. The data described here were collected by CREP from ARMS moored at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from March 2012 to June 2015, and three ARMS units were deployed by SCUBA divers at each survey site. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 µm, and 100 µm. The 500 µm and 100 µm fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies. The DNA sequencing data are not included in this archival package. proprietary -gov.noaa.nodc:0162830_Not Applicable Benthic images collected at coral reef sites in Batangas, Philippines from 2012-03-13 to 2012-03-15 and from 2015-05-24 to 2015-06-03 (NCEI Accession 0162830) NOAA_NCEI STAC Catalog 2012-03-13 2015-06-03 120.872, 13.6586, 120.895, 13.7281 https://cmr.earthdata.nasa.gov/search/concepts/C2089380458-NOAA_NCEI.umm_json Photographs of the seafloor were collected during benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in 2012 and 2015 along transects at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) over time. The imagery from 2015 has been quantitatively analyzed using image analysis software to derive an estimate of percent benthic cover (archived separately). proprietary -gov.noaa.nodc:0162831_Not Applicable Calcification rates of crustose coralline algae (CCA) derived from Calcification Accretion Units (CAUs) deployed at coral reef sites in Batangas, Philippines in 2012 and recovered in 2015 (NCEI Accession 0162831) NOAA_NCEI STAC Catalog 2012-03-13 2015-06-03 120.872, 13.6586, 120.895, 13.7281 https://cmr.earthdata.nasa.gov/search/concepts/C2089380467-NOAA_NCEI.umm_json Laboratory experiments reveal calcification rates of crustose coralline algae (CCA) are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. Calcification accretion units, or CAUs, are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. CAUs, constructed in-house by CREP, are composed of two 10 x 10 cm flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos by SCUBA divers using stainless steel threaded rods. Deployed on the seafloor for a period of time, calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over time. By measuring the change in weight of the CAUs, the reef carbonate accretion rate can be calculated for that time period. The calcification rate data described here were collected by CREP from CAUs moored at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in the Philippines, in accordance with protocols developed by Price et al. (2012). Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from March 2012 to June 2015, and five CAUs were deployed at each survey site. In conjunction with benthic community composition data (archived separately), these data serve as a baseline for detecting changes associated with changing seawater chemistry due to ocean acidification within coral reef environments. proprietary -gov.noaa.nodc:0163192_Not Applicable A Comparison of the foraging ecology and bioenergetics of the early life-stages of two sympatric hammerhead sharks from 1998-07-12 to 2005-07-27 (NCEI Accession 0163192) NOAA_NCEI STAC Catalog 1998-07-12 2005-07-27 -86.2279, 27.4432, -80.1996, 30.7692 https://cmr.earthdata.nasa.gov/search/concepts/C2089380703-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains basic biological information on bonnethead and scalloped hammerhead sharks with specific (by stomach and prey item) diet information for these two species. Data were collected by the NMFS Southeast Fisheries Science Center; Panama City, FL Laboratory in the Northeast Gulf of Mexico and the Atlantic Ocean off the coast of Florida from 1998 to 2005. Data are in comma separated value (CSV) format and include length, sex, and number of prey items. proprietary -gov.noaa.nodc:0163212_Not Applicable Acoustic Travel Time and Hydrostatic Pressure in Sermilik Fjord in Southeastern Greenland from 2011-08-23 to 2016-08-11 (NCEI Accession 0163212) NOAA_NCEI STAC Catalog 2011-08-23 2016-08-11 -37.8998, 65.5268, -37.6336, 66.2449 https://cmr.earthdata.nasa.gov/search/concepts/C2089380760-NOAA_NCEI.umm_json These data records are time series of (1) round trip surface to bottom acoustic travel time, (2) bottom pressure and (3) bottom temperature (with the latter internal to the instrument). The first goal in collecting these data was to develop and test non-traditional methods to measure the time-varying â¨heat content and vertical temperature profiles in high-latitude seas, shelves, and fjords using pressure-sensor-equipped inverted echo sounders (PIESs). The second goal was to use PIESs to measure icebergs and sea ice. We developed these methods with data collected in Sermilik Fjord in southeastern Greenland from a 1-year pilot deployment with 1 PIES (deployed mid fjord from 2011 to 2012) and data collected in a full deployment with 3 PIESs (deployed on the shelf by the fjord mouth, mid-fjord and in the upper fjord from 2013-2015/2016). The data format is NetCDF with CF-1.6 conventions. proprietary -gov.noaa.nodc:0163750_Not Applicable Biological, chemical and other data collected from station Humboldt Bay Pier by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2012-12-13 to 2018-03-07 (NCEI Accession 0163750) NOAA_NCEI STAC Catalog 2012-12-13 2018-03-07 -124.19652, 40.7775, -124.19652, 40.7775 https://cmr.earthdata.nasa.gov/search/concepts/C2089376545-NOAA_NCEI.umm_json NCEI Accession 0163750 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Humboldt Bay Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0163764_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - Link Port (IRL-LP) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-01 (NCEI Accession 0163764) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-01 -80.34311, 27.53483, -80.34311, 27.53483 https://cmr.earthdata.nasa.gov/search/concepts/C2089376573-NOAA_NCEI.umm_json NCEI Accession 0163764 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Link Port (IRL-LP) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0164194_Not Applicable Biogeochemical and microbiological variables measured by CTD and Niskin bottles from the Hermano Gines in the Caribbean Sea for the CARIACO Ocean Time-Series Program from 1995-11-13 to 2015-11-14 (NCEI Accession 0164194) NOAA_NCEI STAC Catalog 1995-11-13 2015-11-14 -65.587, 10.45, -64.54, 10.716 https://cmr.earthdata.nasa.gov/search/concepts/C2089377236-NOAA_NCEI.umm_json The goal of this project was to examine the interrelationship between microbial activity and water column geochemistry in the worldâs largest, truly marine anoxic system, the Cariaco Basin. This project focused on microbial cycling of carbon, sulfur, and nitrogen occurring at depths where waters transition from oxic to anoxic to sulfidic. Over the 21 year program, the Stony Brook team typically staged cruises semi-annually during upwelling (Mar-May) and non- upwelling (Oct-Nov) periods. These 24-hour cruises were usually within a week of the routine monthly cruises staged by the Fundacion La Salle and University of South Florida team. Most cruises occupied only the CARIACO Ocean Time-Series station. On cruises 108 to 132, additional stations in the western basin and on the sill to the north of the Cariaco station were also sampled. Locations are given in the database. Data provided in a single MS Excel spreadsheet. proprietary -gov.noaa.nodc:0165016_Not Applicable Benthic Surveys in Vatia, American Samoa: comprehensive assessment of coral demography (adult and juvenile corals) from belt transect surveys between 2015-11-02 and 2015-11-12 (NCEI Accession 0165016) NOAA_NCEI STAC Catalog 2015-11-02 2015-11-12 -170.674, -14.2501, -170.667, -14.2432 https://cmr.earthdata.nasa.gov/search/concepts/C2089377923-NOAA_NCEI.umm_json Jurisdictional managers have expressed concerns that nutrients from the village of Vatia, Tutuila, American Samoa, are having an adverse effect on the adjacent coral reef ecosystem. Excess nutrient loads promote increases in algal growth that can have deleterious effects on corals, such as benthic algae outcompeting and overgrowing corals. Nitrogen and phosphorus can also directly impact corals by lowering fertilization success, and reducing both photosynthesis and calcification rates. Land-based contributions of nutrients come from a variety of sources; in Vatia the most likely sources are poor wastewater management from piggeries and septic systems. NOAA scientists conducted benthic surveys to establish a baseline against which to compare changes in the algal and coral assemblages in response to nutrient fluxes. The data described here were collected via belt transect surveys of coral demography (adult and juvenile corals) by the NOAA Coral Reef Ecosystem Program (CREP) according to protocols established by the NOAA National Coral Reef Monitoring Program (NCRMP). In 2015 data were collected at 18 stratified randomly selected sites in Vatia Bay. These data include: 1) an assessment of coral colony density and size-class distribution for the selected monitoring sites; 2) an assessment of coral recruitment at the monitoring sites; and 3) an evaluation of coral colony condition, including mortality, disease, bleaching, and evidence of sediment stress. These data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Additionally, photoquadrat benthic images were collected and analyzed for benthic cover composition (documented and archived separately). A brief report documenting the 2015 surveys conducted in Vatia and Faga'alu in Tutuila, American Samoa by the NOAA Coral Reef Ecosystem Program is in progress: Baseline Assessment of Coral Reef Community Structure and Demographics in Vatia and Fagaâalu Bays, American Samoa. proprietary -gov.noaa.nodc:0166378_Not Applicable Benthic images collected at coral reef sites in Timor-Leste from 2012-10-15 to 2014-10-09 (NCEI Accession 0166378) NOAA_NCEI STAC Catalog 2012-10-15 2014-10-09 124, -9.5, 127.5, -8.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089378377-NOAA_NCEI.umm_json Photographs of the seafloor were collected during benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in hard bottom shallow water (< 15 m) habitats in Timor-Leste. Photographs were collected along transects at fixed climate survey sites in October 2012 and September-October 2014 (10 sites and 8 sites, respectively), and during reef fish surveys surveys at 150 sites that were selected using a stratified random sampling design in June 2013. Climate sites were established by CREP to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. The reef fish surveys were conducted to generate baseline data on the nearshore coral reef fish assemblages and associated benthic communities around Timor-Leste's north coast and Atauro Island. The photographs can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The imagery from 2013 and 2014 has been quantitatively analyzed using image analysis software to derive an estimate of percent benthic cover. The benthic cover data, and the associated reef fish survey data and parameters measured to establish ecological baselines for climate change are archived separately. proprietary -gov.noaa.nodc:0167532_Not Applicable Bathymetry and acoustic backscatter data collected in Long Island Sound for the Phase III Long Island Sound Seafloor Mapping Project 2015 (NCEI Accession 0167532) NOAA_NCEI STAC Catalog 2015-09-23 2015-10-18 -73.610512, 40.91869, -73.448063, 41.032022 https://cmr.earthdata.nasa.gov/search/concepts/C2089378776-NOAA_NCEI.umm_json This dataset contains multibeam bathymetry, uncertainty, and backscatter GeoTiffs with 1x1 meter cell size represent water depth and acoustic intensity of the seafloor from the Phase III Long Island Sound Benthic Habitat Priority Areas of Interest in the Long Island Sound. These datasets were surveyed by NOAA Ship Nancy Foster R-352 in 2015 using 400 khz Reson 7125 multibeam sonars in coordination with the NOAA Biogeography Branch and the Integrated Ocean and Coastal Mapping Branch. The multibeam was corrected, calibrated, and integrated into a seamless 32-bit raster using CARIS and ArcGIS. Backscatter data was collected and mosaicked into a raster using Fledermaus Geocoder Toolbox, ArcGIS 10.4, and PCI Geomatica 2016 software at the Biogeography Branch by NOAA contractors. proprietary -gov.noaa.nodc:0167946_Not Applicable Bathymetry and acoustic backscatter collected in Long Island Sound for the Phase I Long Island Sound Seafloor Mapping Project 2014 (NCEI Accession 0167946) NOAA_NCEI STAC Catalog 2012-11-12 2014-04-21 -73.1979, 40.96307, -72.951, 41.15855 https://cmr.earthdata.nasa.gov/search/concepts/C2089378909-NOAA_NCEI.umm_json This dataset contains an integrated GeoTiff with 1x1 meter cell size representing the 2014 Long Island Sound Benthic Habitat Priority Area of Interest between Brigeport, CT and Port Jefferson, NY. This integrated bathymetric raster is a mosaic of surveys from NOAA Ship Thomas Jefferson (S-222) and its two inshore launch vessels, NOAA Ship Rude (S-590), as well as surveys conducted by the Stony Brook University R/V Pritchard in coordination with the NOAA Biogeography Branch and the Office of Coastal Services between in the year 2012. Bathymetry data was collected using multibeam sonars and integrated into a seamless 32 bit raster using ArcGIS 10.1 raster calculator by the Biogeography Branch by a NOAA contractor. proprietary -gov.noaa.nodc:0168620_Not Applicable Benthic percent cover derived from analysis of benthic images collected at coral reef sites in Timor-Leste in 2013 and 2014 (NCEI Accession 0168620) NOAA_NCEI STAC Catalog 2013-06-04 2014-10-09 124, -9.5, 127.5, -8.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089379015-NOAA_NCEI.umm_json The benthic cover data described here result from benthic photo-quadrat surveys conducted by the NOAA Coral Reef Ecosystem Program (CREP) in hard bottom shallow water (< 15 m) habitats in Timor-Leste during reef fish surveys surveys at 150 sites that were selected using a stratified random sampling design in June 2013, and along transects at fixed climate survey sites in September-October 2014 (10 sites and 8 sites, respectively). Climate sites were established by CREP to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. The reef fish surveys were conducted to generate baseline data on the nearshore coral reef fish assemblages and associated benthic communities around Timor-Leste's north coast and Atauro Island. Percent benthic cover for each site is estimated from a photo-transect (30 photographs, taken at 1-m intervals, 10+ points analyzed per photograph using Coral Point Count with Extensions). NA values represent situations where images were either not gathered or not analyzed. These benthic cover data for Timor-Leste provide an estimate of the benthic community composition at each survey site, and give context to the results from the other survey components. The benthic images, and the associated reef fish survey data and parameters measured to establish ecological baselines for climate change are documented separately. proprietary -gov.noaa.nodc:0168912_Not Applicable Belt transect surveys of coral populations and disease assessments in Hawaii, Maui, and Oahu from 2010-03-08 to 2011-11-08 (NCEI Accession 0168912) NOAA_NCEI STAC Catalog 2010-03-08 2011-11-08 -157.826, 19.3692, -155.849, 21.4769 https://cmr.earthdata.nasa.gov/search/concepts/C2089379097-NOAA_NCEI.umm_json Coral belt transect surveys, focused at quantifying the relative abundance, density, and size-class distribution of the anthozoan and hydrozoan corals, as well as the condition and health state of the coral populations were conducted around the islands of Maui, Hawaii, and Oahu by the NOAA Coral Reef Ecosystem Program and the Hawaii Division of Aquatic Resources (DAR) from March 8, 2010 to November 8, 2011. The surveys were conducted along two pre-selected transect lines. For coral observations the transect length was 12 m long and the transect width was 1 m wide (0.5 m on each side of the transect line). For coral condition and health observations, the transect length was between 12.5 and 25 m long and the transect width was 1 m, 2 m or 4 m wide (0.5 m, 1.0 m, or 2.0 m on each side of the transect line). The surveyed area was 24 m^2 per site for the coral observations, and ranged from to 25 m^2 to 200 m^2 per site for the disease observations. Within each transect 1-m segments were surveyed, whereby in each segment all coral colonies whose center fell within 0.5 m of either side of the transect line were identified to the lowest taxonomic level possible (genus or species) and colony size visually estimated and binned by its maximum diameter in one of 7 size classes: 0-5 cm, 5-10 cm, 10-20 cm, 20-40 cm, 40-80 cm, 80-160 cm, or greater than 160 cm. When a coral colony exhibited signs of disease or compromised health, additional information was separately recorded. Within each of the two transects, all diseased coral colonies whose center fell within 0.5â2 m on each side of each transect line were carefully examined, measured (length and width of the colony in centimeters, when survey time allowed), identified to the lowest taxonomic level possible, and assigned to one of several types of afflictions, including coral and algal diseases, bleaching, infections, infestations, discolorations, predation, pigmentation responses, skeletal growth anomalies, and tissue loss. Severity of the affliction (mild, moderate, marked, severe, acute) was also recorded for a subset of bleaching observations only. Photographic documentation was also captured (archived and documented separately). Raw survey data includes species presence, colony counts per taxon, colony size (binned sizes for coral observations, colony width and length for a subset of disease observations), affliction observed, and severity of condition (for observations of bleached corals only). proprietary -gov.noaa.nodc:0168913_Not Applicable Assessment of coral reef communities in Hawaii, Maui, and Oahu of the Main Hawaiian Islands from 2010-03-08 to 2011-11-08 using the Line-point Intercept (LPI) method (NCEI Accession 0168913) NOAA_NCEI STAC Catalog 2010-03-08 2011-11-08 -157.826, 19.3692, -155.849, 21.4769 https://cmr.earthdata.nasa.gov/search/concepts/C2089379105-NOAA_NCEI.umm_json This data package contains coral reef community composition data gathered during Line-Point-Intercept (LPI) surveys around the islands of Maui, Hawaii, and Oahu of the main Hawaiian Islands from March 8, 2010 to November 8, 2011 as part of a joint project with the NOAA Coral Reef Ecosystem Division (CRED) and the State of Hawaii Division of Aquatic Resources (DAR). The line-point-intercept (LPI) method (Hill and Wilkinson 2004) is used to assess the percentage of cover for live corals and other benthic elements. The surveys were conducted by a SCUBA diver swimming along two pre-selected 25-m transect lines, during which the benthic element falling directly beneath the transect line was recorded at 25- or 50-cm intervals for 100 or 50 total points/observations per transect, respectively. Benthic elements were assigned to one of ten benthic categories: live (scleractinian) corals, octocorals, dead corals, coralline algae, macroalgae, turf algae, cyanophyes, zoanthids, other sessile macro-invertebrates, and sand. Benthic organisms were identified to the lowest taxonomic level possible (corals, macroalgae, and zoanthids to genus or species). Turf algae included pavement, rock, rubble, and turf algae observations. proprietary -gov.noaa.nodc:0169338_Not Applicable Assessing cryptic reef diversity of colonizing marine invertebrates using autonomous reef monitoring structures (ARMS) deployed at coral reef sites in Timor-Leste from 2012-10-15 to 2014-10-09 (NCEI Accession 0169338) NOAA_NCEI STAC Catalog 2012-10-15 2014-10-09 125.49912, -8.85321, 125.01319, -8.22438 https://cmr.earthdata.nasa.gov/search/concepts/C2089379299-NOAA_NCEI.umm_json The data described here, including photographs, genetic sequences, and specimen information, were collected by the NOAA Coral Reef Ecosystem Program (CREP) from Autonomous Reef Monitoring Structures, or ARMS, moored for two years at fixed climate survey sites located on hard bottom shallow water (< 15 m) habitats in Timor-Leste. Climate sites were established in Timor-Leste in October 2012 to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. Three ARMS units were typically deployed by SCUBA divers at each survey site. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms, scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 µm, and 100 µm. The 500 µm and 100 µm fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies, photographed, and identified to the lowest taxonomic identification possible. The plate photographs, sequences generated from the DNA metabarcoding of the scrapings and the 500- and 100-µm fractions, specimen photographs, and specimen identifications are included in the ARMS dataset. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. ARMS are used by CREP to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time. proprietary -gov.noaa.nodc:0169370_Not Applicable Baited remote underwater video station (BRUVS) surveys of fish in the Hawaiian Archipelago from 2012-09-01 to 2014-09-27 (NCEI Accession 0169370) NOAA_NCEI STAC Catalog 2012-09-01 2014-09-27 -177.479, 20.5736, -156.056, 28.2661 https://cmr.earthdata.nasa.gov/search/concepts/C2089379327-NOAA_NCEI.umm_json Supported by the NOAA Coral Reef Ecosystem Program (CREP), the data provided in this data setâincluding fish species, lengths, counts, and benthic coverâwere generated from the analysis of video footage from baited underwater video station (BRUVS) surveys conducted during NOAA Pacific Islands Fisheries Science Center (PIFSC) missions in the Main Hawaiian Islands in September 2012 and November 2013, and the Northwestern Hawaiian Islands in May and September 2014. Each BRUVS uses high-definition video cameras mounted 0.7 m apart on a base bar that is inwardly converged at 8°, set up as a stereo-video system. The video images from the cameras are subsequently analyzed to identify fish species and length. The use of bait attracts a wide diversity of fish species into the field of view of the cameras, but CREP is also experimenting with unbaited deployments. proprietary -gov.noaa.nodc:0169725_Not Applicable Benthic cover derived from photo transects in Faga'alu, American Samoa from 2015-10-29 to 2015-11-11 (NCEI Accession 0169725) NOAA_NCEI STAC Catalog 2015-10-29 2015-11-11 -170.681, -14.2948, -170.674, -14.287 https://cmr.earthdata.nasa.gov/search/concepts/C2089379628-NOAA_NCEI.umm_json The benthic cover data described herein were generated by the NOAA Coral Reef Ecosystem Program (CREP) from the quantitative analysis of photoquadrat benthic images using image analysis software, whereby random points are projected on each image and the benthic elements falling directly underneath each point are identified. The images were collected at sites in Faga'alu Bay in 2015 during belt transect surveys of coral demography. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The benthic images and coral demography data are described and archived separately. proprietary -gov.noaa.nodc:0169726_Not Applicable Benthic cover derived from photo transects in Vatia, American Samoa from 2015-11-02 to 2015-11-12 (NCEI Accession 0169726) NOAA_NCEI STAC Catalog 2015-11-02 2015-11-12 -170.674, -14.2501, -170.667, -14.2432 https://cmr.earthdata.nasa.gov/search/concepts/C2089379733-NOAA_NCEI.umm_json The benthic cover data described here were generated from the quantitative analysis of photoquadrat benthic images using image analysis software, whereby random points are projected on each image and the benthic elements falling directly underneath each point are identified. The images were collected at 18 stratified randomly selected sites in Vatia Bay in 2015 during belt transect surveys of coral demography by the NOAA Coral Reef Ecosystem Program (CREP). The benthic cover data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The benthic images and coral demography data are described and archived separately. proprietary -gov.noaa.nodc:0169728_Not Applicable Benthic cover derived from line-point intercept (LPI) surveys in Faga'alu, American Samoa from 2012-08-14 to 2012-08-16 (NCEI Accession 0169728) NOAA_NCEI STAC Catalog 2012-08-14 2012-08-16 -170.681, -14.2933, -170.679, -14.2889 https://cmr.earthdata.nasa.gov/search/concepts/C2089379935-NOAA_NCEI.umm_json The data described here were collected in Faga'alu, American Samoa in August 2012 via line-point intercept (LPI) surveys by the NOAA Coral Reef Ecosystem Program (CREP). At each survey site, a SCUBA diver quantitatively documented the benthic composition at 20-cm intervals along two 25-m transects for a total of 125 data points per transect. All living benthic elements (e.g., coral, algae, and other sessile invertebrates) were identified to the lowest taxonomic level possible. Raw survey data consist of counts of benthic elements, including but not limited to coral, carbonate pavement, sand, rubble, macroalgae, crustose coralline algae, turf algae, as well as other sessile invertebrates along the two transects. The data allows for the assessment and monitoring of community structure and composition, and provide the basis for computing quantitative estimates of benthic cover (%) at higher taxonomic levels like functional group (coral, macroalgae, turf algae) or on a finer taxonomic resolution such as genus level. These data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Additionally, coral demographic surveys were conducted in 2013 and 2015 and coral surveys in 2012, photoquadrat benthic images were collected in 2012 and 2015, and the 2015 images were analyzed for benthic cover composition (all documented and archived separately). proprietary -gov.noaa.nodc:0170031_Not Applicable Calcification rates of crustose coralline algae (CCA) derived from calcification accretion units (CAUs) deployed at coral reef sites in Timor-Leste from 2012-10-15 to 2014-10-09 (NCEI Accession 0170031) NOAA_NCEI STAC Catalog 2012-10-15 2014-10-09 125.013, -8.85329, 127.312, -8.22441 https://cmr.earthdata.nasa.gov/search/concepts/C2089380114-NOAA_NCEI.umm_json The calcification rate data described here were collected by the NOAA Coral Reef Ecosystem Program (CREP) from calcification accretion units, or CAUs, moored for two years at fixed climate survey sites and located on hard bottom shallow water (< 15 m) habitats in Timor-Leste, in accordance with protocols developed by Price et al. (2012). Five CAUs were deployed at each survey site. Climate sites were established in Timore-Leste by CREP in October 2012 to establish ecological baselines for climate change by measuring multiple features of the coral reef environment (in addition to the data described herein) over time. CAUs, constructed in-house by CREP, are composed of two 10 x 10 cm flat, square, gray PVC plates, stacked 1 cm apart, and are attached to the benthos by SCUBA divers using stainless steel threaded rods. Deployed on the seafloor for a period of time, calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these plates and accrete/calcify carbonate skeletons over time. By measuring the change in weight of the CAUs, the reef carbonate accretion rate can be calculated for that time period, measured in grams per centimeter per year. Laboratory experiments reveal calcification rates of crustose coralline algae (CCA) are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater chemistry. CAUs are used by CREP to assess the current effects of changes in seawater carbonate chemistry on calcification and accretion rates of calcareous and fleshy algae. These calcification rate data for Timor-Leste, along with other data collected at the climate survey sites (water temperature and chemistry, invertebrate biodiversity, and benthic cover, all archived separately), serve as a baseline for detecting changes associated with changing seawater chemistry and can be used to help scientists assess and understand how Timor-Leste's coral reefs are responding to ocean acidification. proprietary -gov.noaa.nodc:0170454_Not Applicable Bottom water temperature from temperature sensors taken from the fishing vessel Hera in the Georges Bank from 2016-06-01 to 2016-06-15 (NCEI Accession 0170454) NOAA_NCEI STAC Catalog 2016-06-01 2016-06-15 -67.4916, 41.5133, -67.3353, 42.0898 https://cmr.earthdata.nasa.gov/search/concepts/C2089380382-NOAA_NCEI.umm_json Mean bottom temperature taken off a commercial fishing vessel used during a scientific trip. Data was collected using a Tidbit v2 Temperature Data Logger from Onset Computers. The sensor was placed on the trawl doors of a demersal bottom trawl. Bottom temperature was recorded once per minute throughout the fishing tow. Tows averaged 75 minutes. Bottom temperature was then aggregated by collected the mean temperature per tow. The provided data file includes the tow number, end of tow time, location (lat and long), depth (fathoms) and average bottom temperature (C). Data are in csv format. proprietary -gov.noaa.nodc:0171311_Not Applicable Biological, chemical and other data collected from station Indian Island by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2016-04-05 to 2017-03-01 (NCEI Accession 0171311) NOAA_NCEI STAC Catalog 2016-04-05 2017-03-01 -124.15754, 40.81503, -124.15754, 40.81503 https://cmr.earthdata.nasa.gov/search/concepts/C2089377245-NOAA_NCEI.umm_json NCEI Accession 0171311 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Indian Island in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171312_Not Applicable Biological, chemical and other data collected from station Monterey Bay Commercial Wharf by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2015-05-05 to 2018-01-27 (NCEI Accession 0171312) NOAA_NCEI STAC Catalog 2015-05-05 2018-01-27 -121.88935, 36.60513, -121.88935, 36.60513 https://cmr.earthdata.nasa.gov/search/concepts/C2089377254-NOAA_NCEI.umm_json NCEI Accession 0171312 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named Monterey Bay Commercial Wharf in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171313_Not Applicable Biological, chemical and other data collected from station Romberg Tiburon Center Pier by Romberg Tiburon Center SFSU/CeNCOOS and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2002-10-14 to 2019-12-12 (NCEI Accession 0171313) NOAA_NCEI STAC Catalog 2002-10-14 2019-12-12 -122.4467, 37.8915, -122.4467, 37.8915 https://cmr.earthdata.nasa.gov/search/concepts/C2089377270-NOAA_NCEI.umm_json NCEI Accession 0171313 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Romberg Tiburon Center SFSU/CeNCOOS collected the data from their in-situ moored station named Romberg Tiburon Center Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Romberg Tiburon Center SFSU/CeNCOOS and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171314_Not Applicable Biological, chemical, and other data collected from station Morro Bay by California Polytechnic State Univeristy, San Luis Obispo, and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2009-06-02 to 2021-06-14 (NCEI Accession 0171314) NOAA_NCEI STAC Catalog 2009-06-02 2021-06-14 -120.8589, 35.37085, -120.8589, 35.37085 https://cmr.earthdata.nasa.gov/search/concepts/C2089377284-NOAA_NCEI.umm_json NCEI Accession 0171314 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). California Polytechnic State Univeristy, San Luis Obispo, collected the data from their in-situ moored station named Morro Bay in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from California Polytechnic State Univeristy, San Luis Obispo, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171316_Not Applicable Biological, physical, and time series data collected from station Cal Poly Pier San Luis Obispo by California Polytechnic State Univeristy, San Luis Obispo, and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the North Pacific Ocean and Northeast Pacific Ocean from 2015-06-02 to 2021-06-09 (NCEI Accession 0171316) NOAA_NCEI STAC Catalog 2015-06-02 2021-06-09 -120.74062, 35.17013, -120.74062, 35.17013 https://cmr.earthdata.nasa.gov/search/concepts/C2089377313-NOAA_NCEI.umm_json NCEI Accession 0171316 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). California Polytechnic State Univeristy, San Luis Obispo, collected the data from their in-situ moored station named Cal Poly Pier San Luis Obispo in the North Pacific Ocean and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from California Polytechnic State Univeristy, San Luis Obispo, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171318_Not Applicable Biological, chemical, and other data collected from station Trinidad Head, California, by Humboldt State University/CeNCOOS and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the North Pacific Ocean and Northeast Pacific Ocean from 2009-01-01 to 2021-06-13 (NCEI Accession 0171318) NOAA_NCEI STAC Catalog 2009-01-01 2021-06-13 -124.14703, 41.055, -124.14703, 41.055 https://cmr.earthdata.nasa.gov/search/concepts/C2089377331-NOAA_NCEI.umm_json NCEI Accession 0171318 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University/CeNCOOS collected the data from their in-situ moored station named Trinidad Head, California, in the North Pacific Ocean and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University/CeNCOOS and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171319_Not Applicable Biological, chemical and other data collected from station Carquinez at the California Maritime campus by San Francisco State University and The California Maritime Academy and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2008-02-21 to 2019-12-14 (NCEI Accession 0171319) NOAA_NCEI STAC Catalog 2008-02-21 2019-12-14 -122.2302, 38.0657, -122.2302, 38.0657 https://cmr.earthdata.nasa.gov/search/concepts/C2089377341-NOAA_NCEI.umm_json NCEI Accession 0171319 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). San Francisco State University and The California Maritime Academy collected the data from their in-situ moored station named Carquinez at the California Maritime campus in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from San Francisco State University and The California Maritime Academy and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171320_Not Applicable Biological, physical, and time series data collected from station Bodega Marine Laboratory seawater intake by Bodega Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean from 2009-02-22 to 2021-06-13 (NCEI Accession 0171320) NOAA_NCEI STAC Catalog 2009-02-22 2021-06-13 -123.0709, 38.31652, -123.0709, 38.31652 https://cmr.earthdata.nasa.gov/search/concepts/C2089377351-NOAA_NCEI.umm_json NCEI Accession 0171320 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bodega Marine Laboratory collected the data from their in-situ moored station named Bodega Marine Laboratory seawater intake in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Bodega Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171321_Not Applicable Biological, physical, and time series data collected from station Fort Point Pier by Bodega Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2009-03-01 to 2021-06-13 (NCEI Accession 0171321) NOAA_NCEI STAC Catalog 2009-03-01 2021-06-13 -122.4662, 37.80663, -122.4662, 37.80663 https://cmr.earthdata.nasa.gov/search/concepts/C2089377363-NOAA_NCEI.umm_json NCEI Accession 0171321 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bodega Marine Laboratory collected the data from their in-situ moored station named Fort Point Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Bodega Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171322_Not Applicable Chemical, physical and time series data collected from station burkolator at Hog Island Oyster Company in Tomales Bay by Bodega Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean from 2014-05-31 to 2019-04-12 (NCEI Accession 0171322) NOAA_NCEI STAC Catalog 2014-05-31 2019-04-12 -122.8939, 38.162, -122.8939, 38.162 https://cmr.earthdata.nasa.gov/search/concepts/C2089377372-NOAA_NCEI.umm_json NCEI Accession 0171322 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bodega Marine Laboratory collected the data from their in-situ moored station named burkolator at Hog Island Oyster Company in Tomales Bay in the Greater Farallones National Marine Sanctuary and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Bodega Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171323_Not Applicable Biological, chemical and other data collected from station Santa Cruz municiple wharf by University of California, Santa Cruz, and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Monterey Bay National Marine Sanctuary and Northeast Pacific Ocean from 2011-11-01 to 2019-12-07 (NCEI Accession 0171323) NOAA_NCEI STAC Catalog 2011-11-01 2019-12-07 -122.0203, 36.9603, -122.0203, 36.9603 https://cmr.earthdata.nasa.gov/search/concepts/C2089377382-NOAA_NCEI.umm_json NCEI Accession 0171323 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of California, Santa Cruz, collected the data from their in-situ moored station named Santa Cruz municiple wharf in the Monterey Bay National Marine Sanctuary and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from University of California, Santa Cruz, and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171324_Not Applicable Chemical, physical, and time series data collected from station seawater input for Moss Landing Marine Laboratory by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Monterey Bay National Marine Sanctuary, North Pacific Ocean, and Northeast Pacific Ocean from 2010-09-03 to 2021-06-14 (NCEI Accession 0171324) NOAA_NCEI STAC Catalog 2010-09-03 2021-06-14 -121.7915, 36.8025, -121.7915, 36.8025 https://cmr.earthdata.nasa.gov/search/concepts/C2089377397-NOAA_NCEI.umm_json NCEI Accession 0171324 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named seawater input for Moss Landing Marine Laboratory in the Monterey Bay National Marine Sanctuary, North Pacific Ocean, and Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171325_Not Applicable Biological, chemical and other data collected from station 2nd Avenue Pier by Long Bay Observation System and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2016-02-19 to 2020-01-06 (NCEI Accession 0171325) NOAA_NCEI STAC Catalog 2016-02-19 2020-01-06 -78.88415, 33.68279, -78.88415, 33.68279 https://cmr.earthdata.nasa.gov/search/concepts/C2089377410-NOAA_NCEI.umm_json NCEI Accession 0171325 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Long Bay Observation System collected the data from their in-situ moored station named 2nd Avenue Pier in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Long Bay Observation System and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171326_Not Applicable Biological, chemical and other data collected from station Apache Pier by Long Bay Observation System and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2016-02-19 to 2020-01-07 (NCEI Accession 0171326) NOAA_NCEI STAC Catalog 2016-02-19 2020-01-07 -78.7798, 33.7615, -78.7798, 33.7615 https://cmr.earthdata.nasa.gov/search/concepts/C2089377421-NOAA_NCEI.umm_json NCEI Accession 0171326 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Long Bay Observation System collected the data from their in-situ moored station named Apache Pier in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Long Bay Observation System and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171327_Not Applicable Biological, chemical and other data collected from station Cherry Grove Pier by Long Bay Observation System and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2016-02-19 to 2019-12-30 (NCEI Accession 0171327) NOAA_NCEI STAC Catalog 2016-02-19 2019-12-30 -78.63202, 33.82768, -78.63202, 33.82768 https://cmr.earthdata.nasa.gov/search/concepts/C2089377432-NOAA_NCEI.umm_json NCEI Accession 0171327 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Long Bay Observation System collected the data from their in-situ moored station named Cherry Grove Pier in the North Atlantic Ocean. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Long Bay Observation System and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171328_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - Fort Pierce (IRL-FP) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-09 (NCEI Accession 0171328) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-09 -80.32661, 27.47555, -80.32661, 27.47555 https://cmr.earthdata.nasa.gov/search/concepts/C2089377444-NOAA_NCEI.umm_json NCEI Accession 0171328 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Fort Pierce (IRL-FP) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171329_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - Vero Beach (IRL-VB) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-11 (NCEI Accession 0171329) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-11 -80.35526, 27.59012, -80.35526, 27.59012 https://cmr.earthdata.nasa.gov/search/concepts/C2089377456-NOAA_NCEI.umm_json NCEI Accession 0171329 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Vero Beach (IRL-VB) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171330_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - Sebastian (IRL-SB) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-01 (NCEI Accession 0171330) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-01 -80.47082, 27.83909, -80.47082, 27.83909 https://cmr.earthdata.nasa.gov/search/concepts/C2089377467-NOAA_NCEI.umm_json NCEI Accession 0171330 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Sebastian (IRL-SB) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171331_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - St. Lucie Estuary (IRL-SLE) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-22 (NCEI Accession 0171331) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-22 -80.17184, 27.16495, -80.17184, 27.16495 https://cmr.earthdata.nasa.gov/search/concepts/C2089377477-NOAA_NCEI.umm_json NCEI Accession 0171331 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - St. Lucie Estuary (IRL-SLE) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171332_Not Applicable Biological, chemical and other data collected from station Indian River Lagoon - Jensen Beach (IRL-JB) by Florida Atlantic University and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida from 2015-10-07 to 2020-06-18 (NCEI Accession 0171332) NOAA_NCEI STAC Catalog 2015-10-07 2020-06-18 -80.20233, 27.22439, -80.20233, 27.22439 https://cmr.earthdata.nasa.gov/search/concepts/C2089377488-NOAA_NCEI.umm_json NCEI Accession 0171332 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ moored station named Indian River Lagoon - Jensen Beach (IRL-JB) in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171345_Not Applicable Chemical, meteorological and other data collected from station Pilot's Cove, Apalachicola Bay, by Florida Department of Environmental Protection and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and Gulf of Mexico from 2015-11-09 to 2020-03-09 (NCEI Accession 0171345) NOAA_NCEI STAC Catalog 2015-11-09 2020-03-09 -85.0277, 29.60139, -85.0277, 29.60139 https://cmr.earthdata.nasa.gov/search/concepts/C2089377631-NOAA_NCEI.umm_json NCEI Accession 0171345 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Department of Environmental Protection collected the data from their in-situ moored station named Pilot's Cove, Apalachicola Bay, in the Coastal Waters of Florida and Gulf of Mexico. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Department of Environmental Protection and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0171346_Not Applicable Chemical, meteorological and other data collected from station Dry Bar, Apalachicola Bay, by Florida Department of Environmental Protection and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and Gulf of Mexico from 2015-12-01 to 2018-10-10 (NCEI Accession 0171346) NOAA_NCEI STAC Catalog 2015-12-01 2018-10-10 -85.05807, 29.67431, -85.05807, 29.67431 https://cmr.earthdata.nasa.gov/search/concepts/C2089377641-NOAA_NCEI.umm_json NCEI Accession 0171346 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Department of Environmental Protection collected the data from their in-situ moored station named Dry Bar, Apalachicola Bay, in the Coastal Waters of Florida and Gulf of Mexico. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Department of Environmental Protection and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0172043_Not Applicable ADCP, CTD, and continuous data from the Multiple Instrument Data Acquisition System (MIDAS) collected in the Southeast of the Mississippi River Delta aboard the R/V Pelican from 2012-11-28 to 2012-12-19 (NCEI Accession 0172043) NOAA_NCEI STAC Catalog 2012-11-28 2012-12-19 -94.0863, 25.7961, -87.2228, 28.9733 https://cmr.earthdata.nasa.gov/search/concepts/C2089377986-NOAA_NCEI.umm_json This dataset contains shipboard Acoustic Doppler Current Profiles (ADCP) data from a 75khz profiler, vertical profiles of measurements made from a CTD/Rosette system and continuous data from the Multiple Instrument Data Acquisition System (MIDAS). These ancillary data gives additional information about the physical state of the ocean during the Gulf of Mexico Integrated Spill Response Consortium (GISR) G03 cruise aboard R/V Pelican held from November 28 to December 20, 2012. proprietary -gov.noaa.nodc:0172377_Not Applicable Abundance and biomass of parrotfishes (Labridae, Scarinae) in St.Croix, U.S. Virgin Islands 2015 to 2016 (NCEI Accession 0172377) NOAA_NCEI STAC Catalog 2015-07-21 2016-08-05 -64.9199, 17.63764, -64.47889, 17.82709 https://cmr.earthdata.nasa.gov/search/concepts/C2089378141-NOAA_NCEI.umm_json We collected data on parrotfish abundance, biomass, size structure, and species composition at several sites on the N shore of St. Croix during July and August 2015 and 2016. Surveys were conducted using a method that allowed divers to rapidly survey large areas and quantify habitat assocations of different species. Researchers conducted 20-30 min timed swims towing a float with a GPS receiver, which allowed for the calculation of distance traveled during a swim and therefore the total area sampled. During the timed swim survey, the diver estimated and recorded the size to the nearest cm of all parrotfishes that were at least 10 cm in length that were encountered in a 5-m-wide swath. Because these swims often crossed multiple habitats, the diver recorded the habitat each minute. For each site, the total area of each habitat sampled was then calculated in order to determine habitat- and site-specific densities of each parrotfish species. proprietary -gov.noaa.nodc:0172588_Not Applicable Biological, chemical, and other data collected from station Humboldt Bay Pier by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2012-12-13 to 2021-06-09 (NCEI Accession 0172588) NOAA_NCEI STAC Catalog 2012-12-13 2021-06-09 -124.19652, 40.7775, -124.19652, 40.7775 https://cmr.earthdata.nasa.gov/search/concepts/C2089378189-NOAA_NCEI.umm_json NCEI Accession 0172588 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Humboldt Bay Pier in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0172612_Not Applicable Biological, chemical and other data collected from station Monterey Bay Commercial Wharf by Moss Landing Marine Laboratory and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2015-05-05 to 2020-01-03 (NCEI Accession 0172612) NOAA_NCEI STAC Catalog 2015-05-05 2020-01-03 -121.88935, 36.60513, -121.88935, 36.60513 https://cmr.earthdata.nasa.gov/search/concepts/C2089378278-NOAA_NCEI.umm_json NCEI Accession 0172612 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Moss Landing Marine Laboratory collected the data from their in-situ moored station named Monterey Bay Commercial Wharf in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Moss Landing Marine Laboratory and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0172613_Not Applicable Biological, chemical and other data collected from station Indian Island by Humboldt State University and assembled by Central and Northern California Coastal Ocean Observing System (CeNCOOS) in the Northeast Pacific Ocean from 2016-04-05 to 2019-10-28 (NCEI Accession 0172613) NOAA_NCEI STAC Catalog 2016-04-05 2019-10-28 -124.15754, 40.81503, -124.15754, 40.81503 https://cmr.earthdata.nasa.gov/search/concepts/C2089378289-NOAA_NCEI.umm_json NCEI Accession 0172613 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Humboldt State University collected the data from their in-situ moored station named Indian Island in the Northeast Pacific Ocean. Central and Northern California Coastal Ocean Observing System (CeNCOOS), which assembles data from Humboldt State University and other sub-regional coastal and ocean observing systems of the Central and Northern California United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this accession when new files are available. proprietary -gov.noaa.nodc:0173246_Not Applicable Benthic Fauna and Hydrography at Four Sites in the Mobile-Tensaw River Delta, Alabama (1981-1982) (NCEI Accession 0173246) NOAA_NCEI STAC Catalog 1981-11-17 1982-09-29 -88.004, 30.411, -87.562, 31.055 https://cmr.earthdata.nasa.gov/search/concepts/C2089378543-NOAA_NCEI.umm_json Bimonthly surveys of benthic fauna were conducted at four sites in the Mobile-Tensaw River Delta from November 1981 to September 1982. Two sites were at the upper reaches of the river delta, and two were at the mouth. Fauna were enumerated and identified to lowest taxon possible. Hydrographic data were also collected, including temperature, conductivity, and dissolved oxygen. proprietary -gov.noaa.nodc:0173316_Not Applicable Carbon dioxide, hydrographic and chemical data collected from profile discrete samples during the R/V Nathaniel B. Palmer 2015 OOISO; NBP15_11, SOCCOM cruise (EXPOCODE 320620151206) in the South Pacific Ocean from 2015-12-06 to 2016-01-04 (NCEI Accession 0173316) NOAA_NCEI STAC Catalog 2015-12-06 2016-01-04 -89.72, -54.6, -80.11, -52.93 https://cmr.earthdata.nasa.gov/search/concepts/C2089378635-NOAA_NCEI.umm_json This NCEI Accession includes profile discrete measurements of CTD temperature, CTD salinity, CTD oxygen, nutrients, total alkalinity and pH on Total scale obtained during the R/V Nathaniel B. Palmer 2015 OOISO; NBP15_11, SOCCOM cruise (EXPOCODE 320620151206) in the South Pacific Ocean from 2015-12-06 to 2016-01-02. proprietary -gov.noaa.nodc:0175745_Not Applicable Acoustic travel time and bottom pressure data from inverted echo sounders as part of the Southwest Atlantic Meridional Overturning Circulation project (SAM) from 2011-07-07 to 2016-10-29 (NCEI Accession 0175745) NOAA_NCEI STAC Catalog 2011-07-07 2016-10-29 -51.5, -34.503, -44.5, -34.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089380684-NOAA_NCEI.umm_json "This dataset contains round trip acoustic travel time and abmient bottom pressure from bottom-mounted instruments spaced zonally along 34.5S in the SW Atlantic east of Uruguay July 2011 to October 2016. The data were collected for the Southwest Atlantic meridional overturning circulation (""SAM"") project by the NOAA-Atlantic Oceanographic and Meteorological Laboratory. Both the processed/quality-controlled and the raw data files are available. Format is text." proprietary -gov.noaa.nodc:0175783_Not Applicable Agulhas Current transport derived from satellite altimetry observations in Indian Ocean from 1992-10-14 to 2016-12-28 (NCEI Accession 0175783) NOAA_NCEI STAC Catalog 1992-10-14 2016-12-28 27, -40, 30, -34 https://cmr.earthdata.nasa.gov/search/concepts/C2089380711-NOAA_NCEI.umm_json The Agulhas Current is the western boundary current closing the upper-limb of the Indian Ocean subtropical gyre, and is largely linked with the transfer of warm water from the Indian Ocean to the South Atlantic subtropical gyre. This interbasin water exchange takes place mostly through mesoscale processes that occur when the Agulhas Current retroflects south of Africa between 15°E and 25°E. Estimates of the Agulhas Current are carried out by NOAA/AOML using satellite altimetry as the main dataset, and hydrographic observations. For more information, please visit: http://www.aoml.noaa.gov/phod/indexes/index.php proprietary -gov.noaa.nodc:0175786_Not Applicable Abundance and Distribution of Commercially Important Estuarine Dependent Species Populations within the Gulf of Mexico from 1986-04-01 to 2017-06-27 (NCEI Accession 0175786) NOAA_NCEI STAC Catalog 1986-04-01 2017-06-27 -89.85889, 29.8917, -87.6955, 30.68067 https://cmr.earthdata.nasa.gov/search/concepts/C2089380737-NOAA_NCEI.umm_json This dataset contains records of Gulf of Mexico (GOM) blue crab (Callinectes sapidus), white shrimp (Litopenaeus setiferus), brown shrimp (Farfantepenaeus aztecus), and fishes which can be used to quantify their population abundances and distributions. The data set contains existing data as a baseline and supplemental data from continued sampling. It contains records of early life stage blue crab, white shrimp, brown shrimp, and fishes (measurements and counts) from beach seine and trawl samples across the north GOM in the central Gulf States that were collected using standardized sampling methods. Data also include habitat assessments such as descriptions, georeferencing information, and abiotic factors (DO, salinity, temperature). proprietary -gov.noaa.nodc:0176496_Not Applicable Biological Baseline Studies of Mobile Bay (MESC-CAB 1980-1981): Hydrography, Sediments, Benthic Fauna, Pelagic Fauna, Phytoplankton, and Zooplankton (NCEI Accession 0176496) NOAA_NCEI STAC Catalog 1980-04-03 1981-08-26 -88.17333, 30.23833, -87.85167, 30.61333 https://cmr.earthdata.nasa.gov/search/concepts/C2089376767-NOAA_NCEI.umm_json Data from a monthly survey of Mobile Bay between April 1980 and August 1981. Extant data from the MESC Data Management System include sediment particle size distribution, discrete hydrography, identification and enumeration of benthic fauna, and identification and enumeration of water column biota. proprietary -gov.noaa.nodc:0185741_Not Applicable Carbonate Chemistry Dynamics on Southeast Florida coral reefs from 2014-05-27 to 2015-09-03 (NCEI Accession 0185741) NOAA_NCEI STAC Catalog 2014-05-27 2015-09-03 -80.132778, 25.6519, -80.076975, 26.1636 https://cmr.earthdata.nasa.gov/search/concepts/C2089379082-NOAA_NCEI.umm_json These data are from the article âSeasonal carbonate chemistry dynamics on southeast Florida coral reefs: localized acidification hotspots from navigational inletsâ published in Frontiers in Marine Science. The data in this package were collected from inlets and reefs along the coast of Southeast Florida. Water was collected bi-monthly from four reefs (Oakland Ridge, Barracuda, Pillars, and Emerald) and three closely-associated inlets (Port Everglades, Bakers Haulover, and Port of Miami). Water samples were collected at these locations either at the surface (~1m depth) or immediately above the benthos measured using a rosette sampler (ECO 55, Seabird). Temperature was recorded at each depth using a CTD (SBE 19V2, Seabird). Turbidity (NTU) was measured at time of water collection. Once collected, water samples were transferred to borosilicate glass bottles, samples were fixed using 200 µL of HgCl2 and sealed using Apiezon grease and a glass stopper. Salinity was measured using a densitometer (DMA 5000M, Anton Paar), while total alkalinity (TA) and dissolved inorganic carbon (DIC) were determined using Apollo SciTech instruments (AS-ALK2 and AS-C3, respectively). All values were measured in duplicate and corrected using certified reference materials following recommendations in Dickson et al. (2007). Aragonite saturation state (ΩArag.), Calcite saturation state (ΩCa), pH (Total scale), and the partial pressure of CO2 (pCO2) were calculated with CO2SYS (Lewis and Wallace, 1998) using the dissociation constants of Mehrbach et al. (1973) as refit by Dickson and Millero (1987) and Dickson (1990). Water samples were reserved for nutrient analyzed at time of collection to determine Total Kjeldahl Nitrogen, Total Phosphorous, and fluorescence of Chlorophyll-a. This research was supported through NOAAâs Coral Reef Conservation Program. proprietary -gov.noaa.nodc:0185742_Not Applicable Climatology for NOAA Coral Reef Watch (CRW) Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1 for 1985-01-01 to 2012-12-31 (NCEI Accession 0185742) NOAA_NCEI STAC Catalog 1985-01-01 2012-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089379091-NOAA_NCEI.umm_json This package contains a set of 12 monthly mean (MM) climatologies, one for each calendar month, and the maximum monthly mean (MMM) climatology. Each climatology has global coverage at 0.05-degree (5km) spatial resolution. The climatologies were derived from NOAA Coral Reef Watch's (CRW) CoralTemp Version 1.0 product and are based on the 1985-2012 time period of the CoralTemp data. They are used in deriving CRW's Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1. MMs are used to derive the SST Anomaly product, and the MMM is used to derive CRW's Coral Bleaching HotSpot, Degree Heating Week, and Bleaching Alert Area products. proprietary -gov.noaa.nodc:0185753_Not Applicable Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Laurentian in Lake Huron, Great Lakes from 2006-09-01 to 2012-12-31 (NCEI Accession 0185753) NOAA_NCEI STAC Catalog 2006-09-01 2012-12-31 -84.5, 43.2, -79.8, 46.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089379102-NOAA_NCEI.umm_json Raw data from the benthic macroinvertebrate surveys conducted in Saginaw Bay in 2006-2009, and in Lake Huron, including Georgian Bay and North Channel, in 2007 and 2012. These basic benthic survey data provide number of each taxon in each replicate sample (abundance), density, and biomass. proprietary -gov.noaa.nodc:0186561_Not Applicable 2003 Marine Fisheries Initiative (MARFIN) Gulf of Mexico and South Atlantic angler survey (NCEI Accession 0186561) NOAA_NCEI STAC Catalog 2003-01-01 2003-12-31 -98, 25, -80, 31 https://cmr.earthdata.nasa.gov/search/concepts/C2089380124-NOAA_NCEI.umm_json This Archival Information Package (AIP) contains information, angler experiences, and preferences for recreational fishing in the Gulf of Mexico and South Atlantic. Data were collected by the NMFS Southeast Fisheries Science Center; Miami, FL. Data are in comma separated value (CSV) format and include recreational angler information such as age, gender, income, and target fish. proprietary -gov.noaa.nodc:0191401_Not Applicable Biogeochemical and microbiological measurements in the Cariaco Basin, a truly marine anoxic system in the southeastern Caribbean Sea, from 1995-11-13 to 2015-11-14 by the CARIACO Ocean Time Series Program (formerly known as CArbon Retention In A Colored Ocean) aboard the B/O Hermano Gines (NCEI Accession 0191401) NOAA_NCEI STAC Catalog 1995-11-13 2015-11-14 -64.66, 10.5, -64.66, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089377738-NOAA_NCEI.umm_json Biogeochemical and microbiological variables were measured by Stony Brook University participants (see Author List) in the CARIACO Ocean Time-Series Program in order to study the microbial cycling of carbon, sulfur, and nitrogen occurring at depths where waters transition from oxic to anoxic to sulfidic. Samples were collected by Nikson bottles from 1995-11-13 to 2015-11-14 in the Cariaco Basin (southeastern Caribbean Sea off northeastern Venezuelan coast) aboard the B/O Hermano Gines, operated by the Fundacion La Salle, Venezuela. proprietary -gov.noaa.nodc:0194300_Not Applicable ADCP, CTD, water and sediment chemistry, and underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24 (NCEI Accession 0194300) NOAA_NCEI STAC Catalog 2012-04-11 2012-04-24 -90.5895, 27.2111, -87.42629, 30.35717 https://cmr.earthdata.nasa.gov/search/concepts/C2089378330-NOAA_NCEI.umm_json This dataset contains ADCP, CTD, water and sediment chemistry, and other underway sensor data collected aboard R/V Endeavor cruise EN505 in the Gulf of Mexico from 2012-04-11 to 2012-04-24. The CTD profiles were done at 4 locations using Sea-Bird SBE 911plus from 2012-04-11 to 2012-04-14 and include seawater conductivity, temperature, pressure, salinity, density, oxygen concentration, sound velocity, dissolved oxygen, beam attenuation, light transmission, fluorescence, surface irradiance, and depth parameters. The current velocity data was measured by a hull-mounted mounted Acoustic Doppler Current Profiler (ADCP) and other underway sensor data was measured with a Sea-Bird SBE 21 (tsg), Sea-Bird SBE 45 (tsg) and underway sensors/navigational instruments. All data records include sampling time (UTC), position (Latitude, Longitude) and water depth. In addition, the dataset also includes the water column and sediment chemistry data and the measurements include the concentration of dissolved nutrients, dissolved gases, total particulate nitrogen (TPN), total particulate carbon (TPN), particulate organic carbon (POC), and particulate inorganic carbon acquired from 8 CTD casts and 6 multiple corer drops. The objective of this cruise was to study the impact of the Deepwater Horizon (DWH) blowout on the water column and benthic communities of the Gulf of Mexico and compare these impacts to naturally occurring oil and gas seeps. These data are also available at Rolling Deck to Repository (R2R) under cruise https://doi.org/10.7284/902570. proprietary -gov.noaa.nodc:0204167_Not Applicable Cetacean digital photography and aerial observer data collected by an unmanned aerial vehicle and manned aerial vehicle in the Beaufort Sea for the Arctic Aerial Calibration Experiments (ACEs) from 2015-08-26 to 2015-09-07 (NCEI Accession 0204167) NOAA_NCEI STAC Catalog 2015-08-26 2015-09-07 -159.3, 71, -153.1, 72 https://cmr.earthdata.nasa.gov/search/concepts/C2089379246-NOAA_NCEI.umm_json This dataset includes two comma separated files containing data and metadata from three cetacean observation methods from two platforms, the manned Turbo Commander aircraft and the unmanned ScanEagle. The ACEs' imagery described here was collected and analyzed in order to conduct a 3-way comparison of data and derived statistics from the following: Observers in the manned aircraft; Digital photographs from cameras mounted to the manned aircraft; Digital photographs from cameras mounted to the Unmanned Aerial Vehicle (UAV). The Arctic Aerial Calibration Experiments (ACEs) study was designed to evaluate the ability of UAS technology (i.e., airframe, payloads, sensors, and software) to detect cetaceans, identify individuals to species, estimate group size, identify calves, and estimate density in arctic waters, relative to conventional aerial surveys conducted by human observers in fixed wing aircraft and to photographic strip transect data collected from the manned aircraft. proprietary -gov.noaa.nodc:0204646_Not Applicable Benthic cover from automated annotation of benthic images collected at coral reef sites in the Pacific Remote Island Areas and American Samoa from 2018-06-08 to 2018-08-11 (NCEI Accession 0204646) NOAA_NCEI STAC Catalog 2018-06-08 2018-08-11 -176.626077, -14.558022, -159.971695, 6.451465 https://cmr.earthdata.nasa.gov/search/concepts/C2089379357-NOAA_NCEI.umm_json "The coral reef benthic community data described here result from the automated annotation (classification) of benthic images collected during photoquadrat surveys conducted by the NOAA Pacific Islands Fisheries Science Center (PIFSC), Ecosystem Sciences Division (ESD, formerly the Coral Reef Ecosystem Division) as part of NOAA's ongoing National Coral Reef Monitoring Program (NCRMP). SCUBA divers conducted benthic photoquadrat surveys in coral reef habitats according to protocols established by ESD and NCRMP during the ESD-led NCRMP mission to the islands and atolls of the Pacific Remote Island Areas (PRIA) and American Samoa from June 8 to August 11, 2018. Still photographs were collected with a high-resolution digital camera mounted on a pole to document the benthic community composition at predetermined points along transects at stratified random sites surveyed only once as part of Rapid Ecological Assessment (REA) surveys for corals and fish (Ayotte et al. 2015; Swanson et al. 2018) and permanent sites established by ESD and resurveyed every ~3 years for climate change monitoring. Overall, 30 photoquadrat images were collected at each survey site. The benthic habitat images were quantitatively analyzed using the web-based, machine-learning, image annotation tool, CoralNet (https://coralnet.ucsd.edu; Beijbom et al. 2015; Williams et al. 2019). Ten points were randomly overlaid on each image and the machine-learning algorithm ""robot"" identified the organism or type of substrate beneath, with 300 annotations (points) generated per site. Benthic elements falling under each point were identified to functional group (Tier 1: hard coral, soft coral, sessile invertebrate, macroalgae, crustose coralline algae, and turf algae) for coral, algae, invertebrates, and other taxa following Lozada-Misa et al. (2017). These benthic data can ultimately be used to produce estimates of community composition, relative abundance (percentage of benthic cover), and frequency of occurrence." proprietary -gov.noaa.nodc:0205786_Not Applicable Assessment of heat stress exposure in the wider Caribbean coral reefs through the regional delineation of degree heating week data from 1985-01-01 to 2017-12-31 (NCEI Accession 0205786) NOAA_NCEI STAC Catalog 1985-01-01 2017-12-31 -97, 8.35, -59.2, 32.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089380033-NOAA_NCEI.umm_json "This data package presents a three-decade (1985-2017) assessment of heat stress exposure in the wider Caribbean coral reefs at the ecoregional and local scales. The main heat stress indicator used was the Degree Heating Weeks (DHW) calculated from daily Sea Surface Temperature ""CoralTemp"" data from CRW-NOAA available from 1985 to the present and from the maximum monthly mean (MMM) version 3.1 at 5 km of the CRW-NOAA program. Different metrics were calculated based on daily DHW and are available in this dataset: a) the maximum value of DHW per pixel for the entire time series b) the frequency of the annual maximum values of DHW ⥠4 °C- weeks (a predictor of coral ""bleaching risk"") per pixel c) the frequency of the annual maximum values of DHW ⥠8 °C- weeks (a predictor of bleach-induced mortality or ""mortality risk"") per pixel d) the year in which the maximum of DHW occurred e) the trend of the annual maximum values of DHW per pixel. Based on the spatiotemporal annual maximum DHW, a new regionalization of heat stress was performed by cluster analysis with the K-means algorithm through the unsupervised classification, this new regionalization delimits the Caribbean in 8 Heat Stress Regions (HSR). We summarized spatiotemporal daily data to describe the temporal patterns at an ecoregional scale by calculating the descriptive statistics of the regional DHW on a given day. This dataset represents a new baseline and regionalization of heat stress in the wider Caribbean coral reefs that will enhance conservation and planning efforts underway." proprietary -gov.noaa.nodc:0206155_Not Applicable 2019 Summer Hypoxia Survey of Alabama Shelf CTD Data (2019-06-04 to 2019-08-02) (NCEI Accession 0206155) NOAA_NCEI STAC Catalog 2019-06-04 2019-08-02 -88.418, 29.4782, -88.004, 30.2166 https://cmr.earthdata.nasa.gov/search/concepts/C2089380106-NOAA_NCEI.umm_json Along the Fisheries Oceanography in Coastal Alabama (FOCAL) Transect on the Alabama shelf, a CTD survey was conducted using Seabird SBE 25 Sealogger CTD between 06/04/2019 and 08/02/2019. Data collected measured depth (m), salinity (PSU), temperature (ITS-90, deg C), oxygen (% Saturation), oxygen (mg/L), pH (pH), specific conductance (µS/cm), beam attenuation (1/m), beam transmission (%), density (kg/m3), conductivity (µS/cm), PAR (µmol m-1 s-1), fluorescence (mg/m3), and fluorescence (mg/m3). Data was collected on 2019-06-04, 2019-06-28, 2019-07-02, 2019-07-05, 2019-07-09, 2019-07-16, 2019-07-19, 2019-07-30, and 2019-08-02 during the summer of 2019. proprietary -gov.noaa.nodc:0207181_Not Applicable Ammonia (NH3) emissions characterization from agricultural soil sources from the NH3_STAT statistical model from 1990-01-01 to 2019-01-01 (NCEI Accession 0207181) NOAA_NCEI STAC Catalog 1990-01-01 2019-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089380670-NOAA_NCEI.umm_json This NCEI accession contains statistical model (NH3_STAT) data. Global ammonia (NH3) emissions into the atmosphere are projected to increase in the coming years with the increased use of synthetic nitrogen fertilizers and cultivation of nitrogen-fixing crops. A statistical model (NH3_STAT) is developed for characterizing atmospheric NH3 emissions from agricultural soil sources, and compared to the performance of other global and regional NH3 models (e.g., EDGAR, MASAGE, MIX and U.S. EPA). The statistical model was developed by expressing a multiple linear regression equation between NH3 emission and the physicochemical variables. The model was evaluated for 2012 NH3 emissions. The results indicate that, in comparison to other data sets, the model provides a lower global NH3 estimate by 57%, (NH3_STAT: 13.9 Tg N yr-1; EDGAR: 33.0 Tg N yr-1). We also performed a region-based analysis (U.S., India, and China) using the NH3_STAT model. For the U.S., our model produces an estimate that is 143% higher in comparison to EPA. Meanwhile, the NH3_STAT model estimate for India shows NH3 emissions between -0.8 and 1.4 times lower when compared to other data sets. A lower estimate is also seen for China, where the model estimates NH3 emissions 0.4-5 times lower than other datasets. The difference in the global estimates is attributed to the lower estimates in major agricultural countries like China and India. The statistical model captures the spatial distribution of global NH3 emissions by utilizing a simplified approach compared to other readily available datasets. Moreover, the NH3_STAT model provides an opportunity to predict future NH3 emissions in a changing world. proprietary -gov.noaa.nodc:0208019_Not Applicable Carbonate chemistry data at the Aransas Ship Channel from 2018-03-08 to 2019-08-22 (NCEI Accession 0208019) NOAA_NCEI STAC Catalog 2018-03-08 2019-08-22 -97.050278, 27.838056, -97.050278, 27.838056 https://cmr.earthdata.nasa.gov/search/concepts/C2089380855-NOAA_NCEI.umm_json This dataset includes both hydrographic (salinity, temperature, dissolved oxygen) and carbonate chemistry data collected at the Aransas Ship Channel (Port Aransas, TX) under the funding provided by the National Academy of Sciences Gulf Research Program (Grant# 2000009312) during the period of 03/08/2018-08/22/2019. proprietary -gov.noaa.nodc:0208388_Not Applicable Biological, chemical, physical and time series data collected from station WQB-04 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2010-10-23 to 2020-12-31 (NCEI Accession 0208388) NOAA_NCEI STAC Catalog 2010-10-23 2020-12-31 -155.082, 19.7341, -155.082, 19.7341 https://cmr.earthdata.nasa.gov/search/concepts/C2089376817-NOAA_NCEI.umm_json NCEI Accession 0208388 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB-04: PacIOOS Water Quality Buoy 04: Hilo Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-04 is located in Hilo Bay on the east side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary -gov.noaa.nodc:0209056_Not Applicable Bottom Temperatures from ship mounted temperature probes collected in in North Atlantic from 2015-01-16 to 2019-02-10 (NCEI Accession 0209056) NOAA_NCEI STAC Catalog 2015-01-10 2020-02-10 -76.34258, 35.98645, -66.42055, 44.58673 https://cmr.earthdata.nasa.gov/search/concepts/C2089377982-NOAA_NCEI.umm_json This data set contains bottom temperature data collected by thermistors mounted on lobster boats in the North Atlantic and Stellwagen Bank. The accession consists of one .csv file contains the following variables - the location the temperature was recorded( site), the latitude (degrees N), longitude (degrees E), depth (m) and sea water temperature (degrees C) of each record. This data was collected as part of the Environmental Monitors on Lobster Traps (eMOLT) project - a non-profit collaboration of industry, science and academics devoted to the monitoring of the physical environment of the Gulf of Maine and the Southern New England Shelf. proprietary -gov.noaa.nodc:0209071_Not Applicable ADCP velocity, echo intensity, and compass heading from two near-bottom moorings in the south equatorial Atlantic Ocean from 2009-12-01 to 2010-03-23 (NCEI Accession 0209071) NOAA_NCEI STAC Catalog 2009-12-01 2010-03-23 11.2067, -5.8778, 11.2067, -5.8778 https://cmr.earthdata.nasa.gov/search/concepts/C2089378065-NOAA_NCEI.umm_json This dataset contains ADCP velocity, echo intensity, and compass heading from two near-bottom moorings in the south equatorial Atlantic Ocean in the Congo submarine canyon during ~3 month period from 2009-12-01 to 2010-03-23. Two ADCPs with acoustic frequencies of 300 kHz and 75 kHz were deployed on separate moorings placed in the channel axis 700 m apart and at ~2000 m water depth. They acquired data over a range of ~80 m above the seafloor (300 kHz) and 220 m above the seafloor (75 kHz). Data are in netcdf. proprietary -gov.noaa.nodc:0209115_Not Applicable Aragonite Saturation State in Deep Sea Coral Habitats collected from NOAA Ship Nancy Foster in Gulf of Mexico from 2017-08-14 to 2017-08-30 (NCEI Accession 0209115) NOAA_NCEI STAC Catalog 2017-08-14 2017-08-30 -84.90713, 25.66118, -80.02228, 29.18645 https://cmr.earthdata.nasa.gov/search/concepts/C2089378161-NOAA_NCEI.umm_json The dataset contains 17 depth profiles from 20-1000 m depth on the West Florida Shelf. Parameters include aragonite saturation state, total alkalinity, DIC, temperature and salinity. The data were collected using a CTD rosette aboard a NOAA-led research expedition in August 2017 entitled âSoutheast Deep Coral Initiative: Exploring Deep-Sea Corals Ecosystems of the Southeast USâ. The NOAA-led survey explored deep-sea coral habitat along West Florida shelf, using the remotely operated vehicle (ROV) Odysseus aboard NOAA Ship Nancy Foster. The cruise report for the expedition is hosted online here: https://doi.org/10.7289/V5/TM-NOS-NCCOS-244 (Wagner et al 2018). proprietary -gov.noaa.nodc:0209162_Not Applicable Biological, chemical, physical and time series data collected from station WQB-05 by University of Hawai'i at Hilo and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2018-03-10 to 2020-12-31 (NCEI Accession 0209162) NOAA_NCEI STAC Catalog 2018-03-10 2020-12-31 -155.8285, 20.02415, -155.8285, 20.02415 https://cmr.earthdata.nasa.gov/search/concepts/C2089378336-NOAA_NCEI.umm_json NCEI Accession 0209162 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo collected the data from their in-situ moored station named WQB-05: PacIOOS Water Quality Buoy 05: Pelekane Bay, Big Island, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-05 is located in Pelekane Bay near Kawaihae Harbor on the west side of the Big Island. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary -gov.noaa.nodc:0209222_Not Applicable Abundance, biomass, and density of benthic macroinvertebrates collected from R/V Lake Guardian in Lake Michigan, Great Lakes from 2015-07-20 to 2015-07-29 (NCEI Accession 0209222) NOAA_NCEI STAC Catalog 2015-07-20 2015-07-29 -88.1, 41.6, -84.75, 46.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089378673-NOAA_NCEI.umm_json Raw data from the benthic macroinvertebrate lake wide surveys conducted in Lake Michigan in 2015. These basic benthic survey data provide the number of each taxon in each replicate sample (abundance), density, and biomass. Similar lake wide surveys were conducted to assess the status of benthic taxa beginning in 1994/1995 and repeated every five years through 2015. proprietary -gov.noaa.nodc:0209226_Not Applicable Acropora cervicornis outplanting scores in the Florida Reef Tract from 2006-01-01 to 2099-12-31 (NCEI Accession 0209226) NOAA_NCEI STAC Catalog 2006-01-01 2099-12-31 -82.9771, 24.4437, -80.0646, 26.3438 https://cmr.earthdata.nasa.gov/search/concepts/C2089378705-NOAA_NCEI.umm_json To maximize long term (>10yr) survival of nursery raised Acropora cervicornis corals, a map based tool was created that ranks locations in the Florida Acropora Critical Habitat based on climate vulnerability. Climate vulnerability is defined both in terms of exposure to future heat stress and the coral's sensitivity as resilience. Suitable sites are determined by a number of factors, suitable sites must be within the Acropora critical habitat and within the depth range 5-15m, with either hard bottom or coral present. Those possible locations are ranked based on projected climate change impacts and a resilience metric based on seven different indicators: coral cover, macroalgae cover, bleaching resistance, coral diversity, coral disease, herbivore biomass, and temperature variability. The data is presented as a Google Earth tool (zipped), maps, gridded netCDF files and are accompanied by a guidance document and a .csv file ranking all locations. The Google Earth tool contains five major layers: depth, turbidity, resilience, year of annual severe bleaching, and outplanting score. Bleaching projections included here use climate model data from 2006-2099. proprietary -gov.noaa.nodc:0209247_Not Applicable Benthic cover derived from structure from motion images collected during marine debris surveys at coral reef sites entangled with derelict fishing nets at Pearl and Hermes Atoll in the Northwestern Hawaiian Islands from 2018-09-24 to 2018-10-03 (NCEI Accession 0209247) NOAA_NCEI STAC Catalog 2018-09-24 2018-10-03 -175.8211335, 27.8274571, -175.7880926, 27.8940486 https://cmr.earthdata.nasa.gov/search/concepts/C2089378869-NOAA_NCEI.umm_json The benthic cover and fishing-net related data described in this dataset are derived from the GIS analysis of benthic orthophotos. The source imagery was collected using a Structure from Motion (SfM) approach during in-water marine debris swim surveys conducted by snorkelers in search of derelict fishing nets. Surveys were conducted by the NOAA Fisheries, Ecosystem Sciences Division (ESD) from September 24 to October 3, 2018 at Pearl and Hermes Atoll during an ESD-led marine debris mission to the Northwestern Hawaiian Islands (NWHI) aboard NOAA Ship Oscar Elton Sette. The lagoon at Pearl and Hermes was surveyed equally across the spatial gradient, from locations where derelict fishing nets are common to locations where derelict fishing nets have never been observed. During the 2018 mission, only a subset of marine debris surveys resulted in a SfM survey. Fishing nets were located during swim surveys and selected for SfM if the net was interacting with coral or hard substrate, the depth of the net was within ~1â4 m of the surface, and the area of the net fit within the 9 sq. meter SFM survey plot. During a SFM survey, a permanent 3 x 3 m plot was established around the center of the fishing net, and the net was photographed using a back and forth swim pattern (âbeforeâ photos) for later processing using a SfM approach. The net was then removed, the volume of net removed was estimated and recorded, and the same area was photographed again in the same way (âafterâ photos). A nearby (>50 m distant) paired control site was also photographed using the same method (âcontrolâ photos). The photographs were processed using Agisoft Metashape software to generate orthomosaic images that were analyzed in ArcGIS for benthic cover using a random point approach. The number of points at net-impacted sites were constrained to the net coverage area and were scaled to the net area to ensure an equal point density among replicate net-impact sites. The same number of points were randomly assigned to the 3 à 3 m paired control site. Each point was classified into one of seven benthic categories: turf algae, macroalgae, sand, bare substrate, Porites compressa, sponge, or crustose coralline algae (CCA). The annotated points for each site were converted to percent cover for each benthic category. Fishing net size (sq m) and degree of fouling were also calculated from the orthophotos. Analyses were conducted to compare the benthic composition of net sites to control sites and to determine if fouling or net size contributed to these differences. proprietary -gov.noaa.nodc:0209357_Not Applicable A Toolbox for secondary quality control on ocean chemistry and hydrographic data (NCEI Accession 0209357) NOAA_NCEI STAC Catalog 2000-01-01 2020-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089379328-NOAA_NCEI.umm_json This NCEA Accession contains MatLab files for a Toolbox for secondary quality control (2nd QC) on ocean chemistry and hydrographic data. High quality, reference measurements of chemical and physical properties of seawater are of great importance for a wide research community, including the need to validate models and attempts to quantify spatial and temporal variability. Whereas data precision has been improved by technological advances, the data accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the use of crossover analysis. This method and how it has been implemented in this toolbox is described in detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible bias in the measurements that can, hopefully, be remedied during the expedition, but also for possible post-cruise adjustment of data to be consistent with previous measurements in the region. proprietary -gov.noaa.nodc:0210577_Not Applicable Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from 2014-07-15 to 2018-11-11 (NCEI Accession 0210577) NOAA_NCEI STAC Catalog 2014-07-15 2018-11-11 -162, 11, -50, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2089380393-NOAA_NCEI.umm_json Air-Launched Autonomous Micro Observer (ALAMO) profiling float data from the World Ocean. ALAMO profiling floats measure temperature, salinity, and pressure and were developed to be air deployed in previously difficult locations, including tropical cyclones and around sea ice. Data files in NetCDF. proprietary -gov.noaa.nodc:0210808_Not Applicable Assessment of coral reef fish and benthic communities in the West Hawaii Habitat Focus Area from 2015-10-13 to 2015-10-23 (NCEI Accession 0210808) NOAA_NCEI STAC Catalog 2015-10-13 2015-10-23 -156.048008, 19.568405, -155.828939, 20.059629 https://cmr.earthdata.nasa.gov/search/concepts/C2089380539-NOAA_NCEI.umm_json This archive package contains data on species composition, density, size, and abundance for coral reef fish as well as coral counts, benthic cover, and macroalga cover in the West Hawaii Habitat Focus Area along the Kona coast of the island of Hawaii. Data provided in this collection were gathered as part of the NOAA Habitat Blueprint initiative with support from the Coral Reef Conservation Program. Data were collected primarily by The Nature Conservancy Hawaii. Data were collected in 2015 using the Belt Transect method. This is the first year in a series of monitoring efforts which have taken place in subsequent years to evaluate the resilience of coral reefs in the Focus Area. This dataset serves as a baseline as it was collected during the 2015 coral bleaching event. The dataset accompanies the NOAA technical report Maynard et al. 2016. proprietary -gov.noaa.nodc:0213517_Not Applicable Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution for 2019-09-18 (NCEI Accession 0213517) NOAA_NCEI STAC Catalog 2019-09-18 2019-09-18 26.375, 38.75, 42.375, 48.8125 https://cmr.earthdata.nasa.gov/search/concepts/C2089376602-NOAA_NCEI.umm_json CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea. proprietary -gov.noaa.nodc:0218215_Not Applicable Circulation, temperature, and water surface elevation from Finite Volume Community Ocean Model (FVCOM) simulations of Lake Superior, Great Lakes region from 2010-01-01 to 2012-12-31 to study the 2010 coastal upwelling event (NCEI Accession 0218215) NOAA_NCEI STAC Catalog 2010-01-01 2012-12-31 -92.08, 46.44, -84.38, 48.79 https://cmr.earthdata.nasa.gov/search/concepts/C2089376983-NOAA_NCEI.umm_json "This dataset contains a three-dimensional (3-D), coupled ice-ocean Finite Volume Community Ocean Model (FVCOM) hydrodynamic simulations of circulation, temperature, and water surface elevation of Lake Superior for the years 2010-2012. The model was validated with temperature observations at National Oceanic and Atmospheric Administration (NOAA) buoys and mooring data from 2010. The upwelling event observed in satellite imagery and at a mooring station was reproduced by the model, in August 2010 along the northwestern coast. FVCOM version 3.1.6 was used for these simulations including custom modifications for wind-wave mixing (Hu and Wang, 2010) and centered-difference time integration. Ice simulations used the unstructured-grid, community ice code (UG-CICE) that was included with FVCOM version 3.1.6 (Chen et al. 2011; Gao et al. 2011). North American Regional Reanalysis (NARR) 32 km data (Mesinger et al. 2006) was used as atmospheric boundary conditions which included heat flux components (i.e., ""heating_on=T"" in the namelist). To convert the NARR forcings to the FVCOM unstructured grid, the interpolation scheme built in to FVCOM (WRF2FVCOM) was used. Details for these simulations can be found in the namelist file ""narr_0913_run.nml"" included in this data archive." proprietary -gov.noaa.nodc:0220639_Not Applicable Barium isotopes collected from world-wide oceans from 1970 to 2006 and analyzed at WHOI (NCEI Accession 0220639) NOAA_NCEI STAC Catalog 1970-01-01 2006-01-01 -178.073, -76.449, 174.4, 48 https://cmr.earthdata.nasa.gov/search/concepts/C2089377693-NOAA_NCEI.umm_json Barium isotope data from marine barites deposited throughout the world wide oceans. Samples include cold seep, hydrothermal and pelagic barites. Samples were collected from 1970 to 2006, and analyses were conducted in the NIRVANA lab at WHOI between 2016 and 2019. Data are in spreadsheet format. proprietary -gov.noaa.nodc:0221188_Not Applicable 3-dimensional current velocity and other parameters taken by ADCP from the offshore supply ship Gerry Bordelon in Gulf of Mexico on 2017-09-24 (NCEI Accession 0221188) NOAA_NCEI STAC Catalog 2017-09-24 2017-09-24 -88.974, 28.932, -88.965, 28.944 https://cmr.earthdata.nasa.gov/search/concepts/C2089377874-NOAA_NCEI.umm_json The data consist of four ADCP surveys in the Mississippi Canyon Block 20 region of the Gulf of Mexico. ADCP2_D20170924_SW and ADCP3_D20170924_SW were run to the southwest of ADCP2_D20170929_NE and ADCP3_D20170929_NE. ADCP2 surveys were run from 01:20 to 01:36 UTC on September, 24 2017. ADCP3 surveys were run from 04:84 - 09:21 UTC on September, 24 2017. Sea state was up during ADCP3 surveys. Data are in NetCDF. proprietary -gov.noaa.nodc:0225446_Not Applicable Assessment of coral reef benthic communities and reef fish survey data from locations in the Commonwealth of Northern Marianas Islands from 2014-10-01 to 2018-09-30 (NCEI Accession 0225446) NOAA_NCEI STAC Catalog 2014-10-01 2018-09-30 145.131154, 14.1136578, 145.8147431, 16.7162927 https://cmr.earthdata.nasa.gov/search/concepts/C2089379287-NOAA_NCEI.umm_json Overview Currently, the LTMMP has 52 long-term monitoring sites across Saipan, Tinian, and Rota that are surveyed on a rotating biennial basis. Three main habitat types are covered: Fore reef, reef flat (lagoon), and seagrass beds (lagoon). Most sites have been selected based on their association with management concerns (runoff, sewage outfalls, urban development, etc.) and/or management actions (watershed restorations efforts, marine protected areas, etc.) and include impacted sites and relatively non-impacted reference sites. In general, monitoring surveys are conducted using standard and proven ecological field survey methods. All surveys are conducted along 3-5, 50 m transect lines laid out along the depth contour (~9m depth) on the fore reef, or along consistent habitat in the lagoon (back reef and seagrass). While benthic cover analysis provides the foundation of the CNMI monitoring program, the current protocol uses several survey types per site to provide ecological depth beyond percent cover. Fore Reef Photos are taken every meter along each transect line using a 0.25m2 quadrat frame, for a total of 250 photos at each site. In the office, the computer program CPCe is used to place five random points on each photo and the biota or substrate type under each point is identified. Organisms are identified to the genus level. This analysis provides benthic percent cover and community diversity. Twelve, 3 minute, 5 m radius stationary point counts (SPC) are conducted at each site to evaluate fish assemblages. Each SPC is systematically positioned throughout the length of a site (250 m). The species and size (fork length) of all food fishes within the 5 meter radius are recorded. This provides relative diversity, abundances, species compositions, size class distribution, and biomass of the fish community. Sixteen 0.25m2 quadrats are haphazardly tossed along the length of the site and every coral colony within the quadrats is identified to the species level and measured. This method provides relative diversity, abundances, species composition, and size class of the coral community. Within these same quadrats, all algae species present are identified to the species level to provide a measure of algae community composition and species richness. Finally, non-coral macro-invertebrates including sea cucumbers, urchins, crown-of-thorns starfish, giant clams, among others, are identified and counted within 1 m of each side of the transect lines (i.e. 5, 2mx50m belt transects). This provides invertebrate abundances, species composition, and diversity. Saipan Lagoon Saipan Lagoon habitats that are monitored include Halodule uninervis beds, staghorn Acropora thickets, and mixed coral back reefs. At lagoon sites, benthic cover is quantified using a 0.25 m2 string quadrat with six intersections, placed every meter along the transect line. The biota or substrate under each intersection is recorded to the genus level, in situ. Additionally, 10, 1 m2 quads are haphazardly placed across the length of the site (250 m) and all seagrass, algae, coral, and macro-invertebrates are identified to the species level and recorded. This method captures the relative diversity, abundance, and species compositions of lagoon communities. Finally, non-coral macro-invertebrate abundances and diversity are quantified as described above for reef slope sites. proprietary -gov.noaa.nodc:0225545_Not Applicable Bulk density and pore water, sediment texture and composition data from sediment cores collected aboard R/V Weatherbird II cruises WB-0812 and WB-0813 in the northern Gulf of Mexico from 2012-08-14 to 2013-08-21 (NCEI Accession 0225545) NOAA_NCEI STAC Catalog 2012-08-14 2013-08-21 -88.86673, 28.97363, -86.33833, 29.73833 https://cmr.earthdata.nasa.gov/search/concepts/C2089379450-NOAA_NCEI.umm_json This dataset contains the bulk density and pore water, sediment texture and composition data from sediment cores collected aboard R/V Weatherbird II cruises WB-0812 and WB-0813 in the northern Gulf of Mexico (nGoM) from 2012-08-14 to 2013-08-21. These data were generated for selected core sub-samples at 2mm sampling intervals for âsurficial unitâ and 5mm sampling resolution intervals to the base of cores. For the bulk density and pore water data, sediment cores were collected on board the R/V Weatherbird II cruise WB-0812 in the nGoM from 2012-08-14 to 2012-08-16. It reports measurement of sediment sample wet weight (g), dry weight (g) and percent pore water. Bulk density is the dry weight per sampling volume expressed as g/cm3. Whereas, sediment texture and composition data were collected aboard R/V Weatherbird II cruise WB-0813 in the nGoM from 2013-08-20 to 2013-08-21. Sediment texture values were expressed as percent gravel, sand, silt, and clay. Percent of mud can be calculated by combining percent silt and clay. Sediment composition was expressed as percent total organic matter (TOM) measured by loss on ignition (LOI), percent carbonate content measured by acid leaching, and the percent insoluble residue (IR), which was likely dominated by terrigenous clastic (land-derived) sediment sources. proprietary -gov.noaa.nodc:0225979_Not Applicable Biological, chemical, physical and time series data collected from station WQBAW by University of Hawai'i at Hilo and University of Hawai'i at MÄnoa and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2008-06-06 to 2016-12-06 (NCEI Accession 0225979) NOAA_NCEI STAC Catalog 2008-06-06 2016-12-06 -157.848, 21.2799, -157.848, 21.2799 https://cmr.earthdata.nasa.gov/search/concepts/C2089379551-NOAA_NCEI.umm_json NCEI Accession 0225979 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo and University of Hawai'i at MÄnoa collected the data from their in-situ moored station named WQBAW: PacIOOS Water Quality Buoy AW (WQB-AW): Ala Wai, Oahu, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and University of Hawai'i at MÄnoa and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-AW is located at the exit of the Ala Wai Canal, near Magic Island. Continuous sampling of this outflow area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary -gov.noaa.nodc:0226059_Not Applicable Biological, chemical, physical and time series data collected from station WQBKN by University of Hawai'i at Hilo and University of Hawai'i at MÃÂnoa and assembled by Pacific Islands Ocean Observing System (PacIOOS) in the North Pacific Ocean from 2008-08-07 to 2017-01-04 (NCEI Accession 0226059) NOAA_NCEI STAC Catalog 2008-08-07 2017-01-04 -157.865, 21.2887, -157.865, 21.2887 https://cmr.earthdata.nasa.gov/search/concepts/C2089380013-NOAA_NCEI.umm_json NCEI Accession 0226059 contains biological, chemical, physical and time series data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Hawai'i at Hilo and University of Hawai'i at MÃÂnoa collected the data from their in-situ moored station named WQBKN: PacIOOS Water Quality Buoy KN (WQB-KN): Kilo Nalu, Oahu, Hawaii, in the North Pacific Ocean. PacIOOS, which assembles data from University of Hawai'i at Hilo and University of Hawai'i at MÃÂnoa and other sub-regional coastal and ocean observing systems of the U. S. Pacific Islands, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to the accession the data collected during the previous month. The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points. WQB-KN is located at the Kilo Nalu Nearshore Reef Observatory, near Kakaako Waterfront Park and Kewalo Basin off of Ala Moana Boulevard in Honolulu. Continuous sampling of this area provides a record of baseline conditions of the chemical and biological environment for comparison when there are pollution events such as storm runoff or a sewage spill. proprietary -gov.noaa.nodc:0226205_Not Applicable ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30 (NCEI Accession 0226205) NOAA_NCEI STAC Catalog 2020-03-28 2020-03-30 -88.576242, 27.591893, -82.438911, 30.342877 https://cmr.earthdata.nasa.gov/search/concepts/C2089380082-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Gordon Gunter in the Coastal Waters of Florida, Coastal Waters of Mississippi, and Gulf of Mexico from 2020-03-28 to 2020-03-30. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary -gov.noaa.nodc:0231662_Not Applicable ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15 (NCEI Accession 0231662) NOAA_NCEI STAC Catalog 2019-07-15 2019-07-15 -124.355093, 44.282964, -124.054485, 44.625023 https://cmr.earthdata.nasa.gov/search/concepts/C2089380691-NOAA_NCEI.umm_json This dataset includes ADCP data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean and Yaquina Bay on 2019-07-15. These data include CURRENT SPEED - EAST/WEST COMPONENT (U) and CURRENT SPEED - NORTH/SOUTH COMPONENT (V). The instruments used to collect these data include ADCP and GPS. The NOAA Office of Marine and Aviation Operations (OMAO) submitted these data to NCEI. proprietary -gov.noaa.nodc:0232256_Not Applicable American Samoa Territorial Monitoring Program: Assessment of coral reef benthic and fish communities in American Samoa from 2005-03-10 to 2017-04-21 (NCEI Accession 0232256) NOAA_NCEI STAC Catalog 2005-03-10 2017-04-21 -170.563628, -14.364332, -170.812132, -14.252747 https://cmr.earthdata.nasa.gov/search/concepts/C2089380473-NOAA_NCEI.umm_json The data described here result from coral reef assessments of reef slopes (10m depth) at permanent sites around Tutuila, American Samoa as part of the ongoing American Samoa Coral Reef Monitoring Program (ASCRMP). These surveys were conducted by members of the American Samoa Coral Reef Advisory Group between 2005 and 2017. The data was collected via SCUBA surveys and reports on coral, benthic and fish composition and derived metrics (e.g., benthic cover, coral diversity, fish diversity, fish biomass). proprietary -gov.noaa.nodc:0234331_Not Applicable Benthic foraminiferal assemblages, stable isotopes, and short-lived radioisotope measurements from sediment cores collected during the multiple cruises in the northwestern margin of Cuba and Gulf of Mexico from 2010-06-13 to 2017-07-19. (NCEI Accession 0234331) NOAA_NCEI STAC Catalog 2010-06-13 2017-07-19 -97.566, 18.631433, -82.339283, 29.701667 https://cmr.earthdata.nasa.gov/search/concepts/C2089380844-NOAA_NCEI.umm_json This dataset contains a compilation of seafloor surface benthic foraminifera assemblages, baseline stable carbon and oxygen isotope measurements from benthic foraminifera, and short-lived radioisotope measurements from sediment cores collected on multiple cruises and field sampling throughout the Gulf of Mexico and the northwestern margin of Cuba from 2010-06-13 to 2017-07-19. Stable isotope measurements were performed on Cibicidoides spp. The dataset includes the sediment core information such as location, date, and depth; benthic foraminiferal stable carbon and oxygen isotopes; and the total density and diversity calculations using Fisherâs Alpha and Shannon indices from the surface-most sub-sample from each core (typically 0-2 mm). For short-lived radioisotope measurements, samples were analyzed by gamma spectrometry with High-Purity Germanium (HPGe) gamma-ray detectors (Canberra Coaxial Planar configuration) for total 210Pb (46.5 keV), 214Pb (295 keV and 351 keV), and 214Bi (609 keV) activities. The mean activity of the 214Pb (295 keV), 214Pb (351 keV), and 214Bi (609 keV) was used as a proxy for 226Ra activity and therefore the supported 210Pb that is produced in situ. The reported excess 210Pb (210Pbxs) is the difference of the total 210Pb and the supported 210Pb. proprietary -gov.noaa.nodc:0237816_Not Applicable Assessing cryptic reef diversity of colonizing marine invertebrates using Autonomous Reef Monitoring Structures (ARMS) deployed at coral reef sites in Kimbe Bay, Papua New Guinea from 2009-09-01 to 2012-09-12 (NCEI Accession 0237816) NOAA_NCEI STAC Catalog 2009-09-01 2012-09-12 150.126428, -5.308874, 150.131315, -5.28353 https://cmr.earthdata.nasa.gov/search/concepts/C2089381360-NOAA_NCEI.umm_json Autonomous Reef Monitoring Structures (ARMS) are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity across the Pacific. Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time. The data described here were collected by CREP from ARMS units moored at fixed climate survey sites located in Kimbe Bay, Papua New Guinea. Climate sites were established by CREP to assess multiple features of the coral reef environment (in addition to the data described herein) from September 2009 to September 2012, and three ARMS units were deployed by SCUBA divers at each survey site. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. Each ARMS unit, constructed in-house by CREP, consisted of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm, which was affixed to the reef. Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for DNA processing. Recruited motile organisms were sieved into 3 size fractions: 2 mm, 500 µm, and 100 µm. The 500 µm and 100 µm fractions were bulked and also preserved in 95% ethanol for DNA processing. The 2 mm fraction was sorted into morphospecies. This dataset includes information on the species counted and identified in the 2 mm fraction. proprietary -gov.noaa.nodc:0238156_Not Applicable Benthic and pelagic invertebrate stable carbon and nitrogen isotope data, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the Norseman II, from 2015-08-12 to 2015-09-03 (NCEI Accession 0238156) NOAA_NCEI STAC Catalog 2015-08-12 2015-09-03 -168.9543, 67.783, -159.6922, 72.494 https://cmr.earthdata.nasa.gov/search/concepts/C2089381446-NOAA_NCEI.umm_json This dataset contains benthic and pelagic invertebrate stable carbon and nitrogen isotope data collected in the Chukchi Sea, U.S. Arctic during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains a comma separated values (csv) files exported from Microsoft Excel. These data were generated from samples collected with trawls, grabs, and plankton nets during the research cruise. The data in the file named AMBON2015_Stable Isotopes_Database_final.csv describe the carbon and nitrogen stable isotope values of invertebrate samples with and without various chemical treatments to eliminate carbonates and lipids. Full location and taxonomic information is given for each sample. proprietary -gov.noaa.nodc:0239040_Not Applicable Benthic and pelagic invertebrate stable carbon and nitrogen isotope data, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the Norseman II, from 2017-08-06 to 2017-08-21 (NCEI Accession 0239040) NOAA_NCEI STAC Catalog 2017-08-06 2017-08-21 -168.9543, 67.668, -159.6922, 72.496 https://cmr.earthdata.nasa.gov/search/concepts/C2089382463-NOAA_NCEI.umm_json This dataset contains benthic and pelagic invertebrate stable carbon and nitrogen isotope data collected in the Chukchi Sea, U.S. Arctic during the 6 August 2017 - 21 August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise aboard the vessel Norseman II. The dataset contains a comma separated values (csv) files exported from Microsoft Excel. These data were generated from samples collected with trawls, grabs, and plankton nets during the research cruise. The data in the file named AMBON2017_Stable Isotopes_Database_final.csv describe the carbon and nitrogen stable isotope values of invertebrate samples with and without various chemical treatments to eliminate carbonates and lipids. Full location and taxonomic information is given for each sample. proprietary -gov.noaa.nodc:6800230_Not Applicable Cloud amount/frequency, NITRATE and other data from GREEN SEAS, PIERCE and other platforms from 1960-05-01 to 1967-03-01 (NCEI Accession 6800230) NOAA_NCEI STAC Catalog 1960-05-01 1967-03-01 -86.1, -7, 5, 28.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089381262-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:6900225_Not Applicable Cloud amount/frequency, NITRATE and other data from GOA from 1968-09-19 to 1968-11-17 (NCEI Accession 6900225) NOAA_NCEI STAC Catalog 1968-09-19 1968-11-17 9, -17, 13.5, -4.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089382177-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:6901098_Not Applicable Cloud amount/frequency, NITRATE and other data from PANULIRUS and PANULIRUS II from 1966-10-18 to 1969-11-06 (NCEI Accession 6901098) NOAA_NCEI STAC Catalog 1966-10-18 1969-11-06 -64.5, 32.1, -64.5, 32.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089381131-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7000052_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Prince William Sound (Gulf of Alaska) from 1986-12-15 to 1986-12-18 (NCEI Accession 7000052) NOAA_NCEI STAC Catalog 1986-12-15 1986-12-18 -150, 59, -149, 60.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089381217-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7000422_Not Applicable AIR PRESSURE and Other Data from GOSNOLD From NW Atlantic (limit-40 W) from 1969-10-28 to 1969-10-29 (NCEI Accession 7000422) NOAA_NCEI STAC Catalog 1969-10-28 1969-10-29 -72, 39, -71, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089383028-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7000981_Not Applicable A summary of seawater chemistry analysis of stations in North Atlantic Ocean from 1970-06-20 to 1970-07-03 (NCEI Accession 7000981) NOAA_NCEI STAC Catalog 1970-06-01 1970-07-01 -29.33, 50.01, -14.2, 55.56 https://cmr.earthdata.nasa.gov/search/concepts/C2089381614-NOAA_NCEI.umm_json Seawater chemistry data were collected using bottle from the USNS KANE in the North Atlantic Ocean. Data were collected from 20 July 1970 to 03 July 1970. The seawater chemistry data includes reactive phosphate, reactive silicate, and nitrate. proprietary -gov.noaa.nodc:7001081_Not Applicable Characteristics of Sediments in the James River Estuary, Virginia, 1968 (NCEI Accession 7001081) NOAA_NCEI STAC Catalog 1966-04-01 1967-08-30 -77, 36.7, -76.15, 37.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089382141-NOAA_NCEI.umm_json This report presents data on the physical and chemical characteristics of bottom sediments in the James River estuary, Virgina. The data were generated as part of a comprehensive study of sedimentation in which the initial objective was to broadly define the distribution of sediment properties. proprietary -gov.noaa.nodc:7100000_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, JAMES COOK and other platforms from 1964-08-24 to 1971-11-17 (NCEI Accession 7100000) NOAA_NCEI STAC Catalog 1964-08-24 1971-11-17 -155.5, -66.7, 175.2, 50.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089383124-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7100048_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms From NE Pacific (limit-180) from 1969-08-01 to 1969-08-31 (NCEI Accession 7100048) NOAA_NCEI STAC Catalog 1969-08-01 1969-08-31 -85, 7, -75, 12 https://cmr.earthdata.nasa.gov/search/concepts/C2089383261-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7100165_Not Applicable Chemical, physical, and other data collected using bottle casts from the North Pacific Ocean as a part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1951-01-06 to 1960-10-31 (NCEI Accession 7100165) NOAA_NCEI STAC Catalog 1951-01-06 1960-10-31 -140, 20, -120, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089383936-NOAA_NCEI.umm_json Chemical, physical, and other data were collected using bottle casts in the North Pacific Ocean from January 6, 1951 to October 31, 1960. Data were submitted by Scripps Institution of Oceanography as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:7100603_Not Applicable Chemical, physical, and other data collected using bottle, BT, current meter, MBT, meteorological sensors, and secchi disk casts in the North Pacific Ocean as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1968-01-01 to 1968-12-04 (NCEI Accession 7100603) NOAA_NCEI STAC Catalog 1968-01-01 1968-12-04 -122.9, 36.6, -121.9, 37 https://cmr.earthdata.nasa.gov/search/concepts/C2089381029-NOAA_NCEI.umm_json Chemical, physical, and other data were collected using bottle, BT, current meter, MBT, meteorological sensors, and secchi disk casts from January 1, 1968 to December 4, 1968. Data were submitted by Stanford University; Hopkins Marine Station as part of the California Cooperative Fisheries Investigation (CALCOFI) project. Data were processed by NODC to the NODC standard F004 water physics and chemistry format. Full F004 Format descriptions are available from the NODC homepage at www.nodc.noaa.gov/. The F004 format contains data from measurements and analysis of physical and chemical characteristics of the water column. Chemical parameters that may be recorded are salinity, pH and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity and current velocity (east-west and north-south components). Cruise and station information may include environmental conditions of the study site at the time of observation. Data are very sparse prior to 1951. proprietary -gov.noaa.nodc:7200096_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1968-02-23 to 1971-11-16 (NCEI Accession 7200096) NOAA_NCEI STAC Catalog 1968-02-23 1971-11-16 -86.4, 11, -61.1, 37.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089383889-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7200319_Not Applicable Cloud amount/frequency, NITRATE and other data from BELLOWS from 1972-02-02 to 1972-02-10 (NCEI Accession 7200319) NOAA_NCEI STAC Catalog 1972-02-02 1972-02-10 -85.4, 27.2, -82.8, 29.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089384562-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7200320_Not Applicable AIR PRESSURE and Other Data from UNKNOWN PLATFORMS and Other Platforms from 1955-03-01 to 1970-08-13 (NCEI Accession 7200320) NOAA_NCEI STAC Catalog 1955-03-01 1970-08-13 -71.9, 29.4, 8.8, 65.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089384570-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7200698_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1971-12-31 to 1972-05-06 (NCEI Accession 7200698) NOAA_NCEI STAC Catalog 1971-12-31 1972-05-06 -81.3, 17, -66.5, 37.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089381211-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7201127_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1972-06-25 to 1972-06-27 (NCEI Accession 7201127) NOAA_NCEI STAC Catalog 1972-06-25 1972-06-27 -76.7, 34, -75.8, 34.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089381653-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7201380_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1971-07-19 to 1972-11-04 (NCEI Accession 7201380) NOAA_NCEI STAC Catalog 1971-07-19 1972-11-04 -80.7, 30.4, -72.7, 38.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089382013-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7201418_Not Applicable Cloud amount/frequency, NITRATE and other data from PANULIRUS and PANULIRUS II from 1970-01-06 to 1972-11-03 (NCEI Accession 7201418) NOAA_NCEI STAC Catalog 1970-01-06 1972-11-03 -64.9, 31.5, -64.5, 32.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089382040-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7300167_Not Applicable Cloud amount/frequency, NITRATE and other data from ALEJANDRO DE HUMBOLDT and NOAA Ship DAVID STARR JORDAN in the Gulf of California from 1971-04-27 to 1971-05-09 (NCEI Accession 7300167) NOAA_NCEI STAC Catalog 1971-04-27 1971-05-09 -115.9, 22.8, -108, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089382675-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7300282_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms from 1968-07-01 to 1970-12-31 (NCEI Accession 7300282) NOAA_NCEI STAC Catalog 1968-07-01 1970-12-31 113.9, -46.6, 179.8, -0.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089383549-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7301085_Not Applicable Cloud amount/frequency, NITRATE and other data from BELLOWS from 1973-08-10 to 1973-08-15 (NCEI Accession 7301085) NOAA_NCEI STAC Catalog 1973-08-10 1973-08-15 -89.6, 27, -83, 29.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089381369-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7301177_Not Applicable Cloud amount/frequency, NITRATE and other data from GAUSS, METEOR and other platforms in the North Atlantic Ocean from 1959-11-18 to 1972-03-14 (NCEI Accession 7301177) NOAA_NCEI STAC Catalog 1959-11-18 1972-03-14 -85, 0, 35.9, 71.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089381441-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400073_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, USCGC ROCKAWAY and other platforms from 1969-05-01 to 1969-07-29 (NCEI Accession 7400073) NOAA_NCEI STAC Catalog 1969-05-01 1969-07-29 -59.8, 7.4, -52.6, 17.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089381593-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400204_Not Applicable BENTHIC SPECIES and Other Data from A. E. VERRILL From North American Coastline-North from 1965-09-01 to 1970-12-31 (NCEI Accession 7400204) NOAA_NCEI STAC Catalog 1965-09-01 1970-12-31 -74, 40, -70, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2089381884-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400205_Not Applicable BENTHIC SPECIES and Other Data from UNKNOWN From North American Coastline-North for 1990-10-10 (NCEI Accession 7400205) NOAA_NCEI STAC Catalog 1990-10-10 1990-10-10 -74, 40, -70, 43 https://cmr.earthdata.nasa.gov/search/concepts/C2089381900-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400384_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from MULTIPLE SHIPS and Other Platforms From North Atlantic Ocean and Others from 1971-12-01 to 1973-04-01 (NCEI Accession 7400384) NOAA_NCEI STAC Catalog 1971-12-01 1973-04-01 -150, 20, -10, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2089382439-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400462_Not Applicable Cloud amount/frequency, NITRATE and other data from GILLISS and COLUMBUS ISELIN in the Gulf of Mexico from 1973-02-02 to 1973-03-11 (NCEI Accession 7400462) NOAA_NCEI STAC Catalog 1973-02-02 1973-03-11 -85.5, 25.4, -81.8, 26.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089382608-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400657_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER in the NW Pacific from 1973-09-07 to 1973-09-20 (NCEI Accession 7400657) NOAA_NCEI STAC Catalog 1973-09-07 1973-09-20 -130, 46.2, -124.2, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2089382926-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7400752_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER in the North Pacific Ocean from 1972-07-24 to 1972-09-27 (NCEI Accession 7400752) NOAA_NCEI STAC Catalog 1972-07-24 1972-09-27 -131.1, 45.8, -124.1, 48.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089383150-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7500181_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER in the NW Atlantic from 1971-07-01 to 1971-09-19 (NCEI Accession 7500181) NOAA_NCEI STAC Catalog 1971-07-01 1971-09-19 -76, 11.7, -62.9, 20.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089383542-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7500532_Not Applicable Chemical, physical, and other data from CTD casts from the YAQUINA as part of the International Decade of Ocean Exploration / Coastal Upwelling Ecosystems Analysis (IDOE/CUEA) from 1972-06-20 to 1973-08-24 (NCEI Accession 7500532) NOAA_NCEI STAC Catalog 1972-06-20 1973-08-24 -125.5, 44.480556, -123.966667, 45.744444 https://cmr.earthdata.nasa.gov/search/concepts/C2089381200-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from CTD casts from the YAQUINA from 20 June 1972 to 24 August 1973. Data were collected by the University of Washington (UW) as part of the International Decade of Ocean Exploration / Coastal Upwelling Ecosystems Analysis (IDOE/CUEA) from 08 July 1977 to 29 July 1977. Data were processed by NODC to the NODC standard F022 High-Resolution CTD/STD Output Format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f022.html. The F022 format contains high-resolution data collected using CTD (conductivity-temperature-depth) and STD (salinity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity, and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t), and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. A text record is available for comments. proprietary -gov.noaa.nodc:7500625_Not Applicable Cloud amount/frequency, NITRATE and other data from KOMET, UNKNOWN PLATFORMS and other platforms from 1972-05-14 to 1974-08-09 (NCEI Accession 7500625) NOAA_NCEI STAC Catalog 1972-05-14 1974-08-09 -3.7, 52, 25.5, 65.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089381540-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7600645_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship ALBATROSS IV from 1975-07-22 to 1975-08-04 (NCEI Accession 7600645) NOAA_NCEI STAC Catalog 1975-07-22 1975-08-04 -73, 36.6, -70.9, 41.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089384428-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7600769_Not Applicable Cloud amount/frequency, NITRATE and other data from GAUSS from 1960-05-30 to 1960-06-17 (NCEI Accession 7600769) NOAA_NCEI STAC Catalog 1960-05-30 1960-06-17 -12.8, 62.3, -8.1, 64.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089384555-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7601177_Not Applicable Cloud amount/frequency, NITRATE and other data from MURRE II in the NE Pacific from 1975-06-20 to 1976-03-29 (NCEI Accession 7601177) NOAA_NCEI STAC Catalog 1975-06-20 1976-03-29 -135.7, 58, -134.2, 58.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089384847-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7601212_Not Applicable BENTHIC SPECIES and Other Data from KANA KEOKI From Gulf of Mexico from 1974-10-26 to 1974-12-21 (NCEI Accession 7601212) NOAA_NCEI STAC Catalog 1974-10-26 1974-12-21 -100, 17, -81, 31.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089384895-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7601237_Not Applicable Chemical and physical data from thermistor, fluorometer, and bottle casts in the Patuxent River from 1972-10-15 to 1972-10-19 (NCEI Accession 7601237) NOAA_NCEI STAC Catalog 1972-10-15 1972-10-19 -76.7, 38, -76.7, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2089384911-NOAA_NCEI.umm_json "The Patuxent River estuary was investigated over a 25-hour tidal cycle from October 17-18, 1972, during the Patuxent River Cooperative Study (conducted by the University of Maryland). These data were collected as part of a joint investigation by the University of Maryland's Center for Environmental and Estuarine Studies (Chesapeake Biological Lab) and the Institute for Fluid Dynamics and Applied Mathematics (College Park, Maryland). The resulting chemical, physical, and biological data were assembled into a format that could be utilized by investigators, collectively titled the Patuxent River Data Bank. The Patuxent River Data Bank was submitted to NODC on a 9-track, 1600 BPI tape in EBCDIC and contains headers and one data file. Heat concentration (in kilocalories/liter) and instantaneous flux magnitude (in megacalories/square meter/second) were recorded over the tidal cycle. Other data associated with this study are filed under NODC Reference #'s L01574 and L01576; all data are in the Level-A directory under L01574.001. Data associated with marine chemistry include: Dissolved organic carbon (milligrams/liter), Particulate carbon (milligrams/liter), salts (grams/liter), Dissolved oxygen (milligrams/liter), and total particulates (milligrams/liter). Instantaneous flux magnitudes for carbon were measured in grams/liter; for salts, in kilograms/liter; for oxygen, in milligrams/liter; and for total particulates, milligrams/liter. Parameters associated with primary productivity (L505) include: Nitrate +Nitrite conc., Ammonia Nitrogen conc., Total Kjeldahl Nitrogen, Organic Phosphate conc., Total Hydrolyzable Phosphate, Active Chlorophyll-a, and Total Chlorophyll. Nutrients were measured in milligrams/liter; chlorophyll concentrations were measured in micrograms/liter. Instantaneous flux magnitudes were measured in milligrams/square meter/second. Additional data collected during this investigation are filed under NODC Reference #'s L01575 and one tape of Patuxent River Estuary Hydro data ""OLD STUFF""" proprietary -gov.noaa.nodc:7601613_Not Applicable AIR PRESSURE and Other Data from TIDE STATIONS From North American Coastline-North and Others from 1972-01-01 to 1974-06-30 (NCEI Accession 7601613) NOAA_NCEI STAC Catalog 1972-01-01 1974-06-30 -77, 37, -76, 39 https://cmr.earthdata.nasa.gov/search/concepts/C2089384776-NOAA_NCEI.umm_json This entry contains tidal information for Chesapeake Bay. Data was submitted by Saul Berkman, NOS Tides Branch, Oceanographic Division. These data are in NODC format. These data were collected roughly 37-39 degrees N, 75 degrees W (stations were in Baltimore, Bayport VA, Cambridge MD, Cheathem Annex VA, Chesapeake City, MD, Gaskins Point, VA, Hampton Roads, VA, Kiptopeke Beach VA, Lower Marlboro, MD, Old Pt Comfort VA, Portsmouth VA, Solomons MD, Taylor Island MD, Washington DC, and Windmill Point VA. The data are in half-hourly units and includes latitude, longitude, date, time, and tidal height. The documentation describes the record format. Tide heights are referred to North American Datum (NAD) 1929. proprietary -gov.noaa.nodc:7601642_Not Applicable Bacteria, taxonomic code, and other data collected from G.W. PIERCE in North Atlantic Ocean from sediment sampler; 1976-02-20 to 1976-03-23 (NCEI Accession 7601642) NOAA_NCEI STAC Catalog 1976-02-20 1976-03-23 -75.3, 37.1, -71.9, 39.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089384806-NOAA_NCEI.umm_json Bacteria, taxonomic code, and other data were collected using sediment sampler and other instruments in the North Atlantic Ocean from G.W. PIERCE. Data were collected from 20 February 1976 to 23 March 1976 by Virginia Institute of Marine Science in Gloucester Point with support from the Ocean Continental Shelf - Mid Atlantic (OCS-Mid Atlantic) project. proprietary -gov.noaa.nodc:7601772_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship OREGON II in the NW Atlantic from 1976-02-20 to 1976-02-25 (NCEI Accession 7601772) NOAA_NCEI STAC Catalog 1976-02-20 1976-02-25 -74.4, 36.8, -72.6, 38.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089384997-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7617993_Not Applicable Cloud amount/frequency, NITRATE and other data from CAPRICORNE from 1974-07-25 to 1974-08-10 (NCEI Accession 7617993) NOAA_NCEI STAC Catalog 1974-07-25 1974-08-10 -10.3, -2.2, -3.9, 4.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385626-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7617994_Not Applicable Cloud amount/frequency, NITRATE and other data from ONVERSAAGD from 1974-06-29 to 1974-07-11 (NCEI Accession 7617994) NOAA_NCEI STAC Catalog 1974-06-29 1974-07-11 -54.3, 14.8, -53.6, 16 https://cmr.earthdata.nasa.gov/search/concepts/C2089385636-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7617995_Not Applicable Cloud amount/frequency, NITRATE and other data from A. V. HUMBOLDT from 1974-07-28 to 1974-08-17 (NCEI Accession 7617995) NOAA_NCEI STAC Catalog 1974-07-28 1974-08-17 -25, -1.5, -23.4, 1.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385645-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700058_Not Applicable AIR PRESSURE and Other Data from YELCHO From Drake Passage from 1976-02-27 to 1976-04-08 (NCEI Accession 7700058) NOAA_NCEI STAC Catalog 1976-02-27 1976-04-08 -70, -90, -50, -70 https://cmr.earthdata.nasa.gov/search/concepts/C2089385730-NOAA_NCEI.umm_json Surface Data was collected aboard the YELCHO. Data collected was part of the First Dynamic Response And Kinematic Experiment (FDRAKE) conducted in 1976, along the Drake passage. Data consists of surface temperature, salinity, and silicate. The data was submitted by the Department of Oceanography, Texas A&M University College Station, Texas. Data are in form of computer printout (13 pages), there are no tapes. The experiment was conducted in two separate legs. The first leg was conducted between February 27-March 13, 1976 and the second leg of the experiment was conducted between March 22-April 8, 1976. proprietary -gov.noaa.nodc:7700179_Not Applicable AIR PRESSURE and Other Data from MULTIPLE SHIPS and Other Platforms From Labrador Sea from 1919-09-29 to 1976-04-26 (NCEI Accession 7700179) NOAA_NCEI STAC Catalog 1919-09-29 1976-04-26 -60, 44, 48, 80.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385848-NOAA_NCEI.umm_json This is German Surface Physical & Chemical Data submitted by Deutsches Hydrographische Institut. This data was collected in the Labrador Sea from January 6, 1974 to August 16, 1974. There is no documentation or description of the source code format. proprietary -gov.noaa.nodc:7700437_Not Applicable Cloud amount/frequency, NITRATE and other data from CHAIN from 1973-03-11 to 1973-07-06 (NCEI Accession 7700437) NOAA_NCEI STAC Catalog 1973-03-11 1973-07-06 -72.6, 26.3, -66.8, 33.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386094-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700455_Not Applicable BENTHIC SPECIES and Other Data from GILLISS and Other Platforms from 1975-10-27 to 1976-08-27 (NCEI Accession 7700455) NOAA_NCEI STAC Catalog 1975-10-27 1976-08-27 -75.3, 37.1, -71.9, 39.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386131-NOAA_NCEI.umm_json Data was submitted by Dr. Gerald L. Engel. This study was organized to collect data on Parasite Type and Location. Parasite (both ecto- and endo-), and site of infection were looked into. SST, wave, turbidity, gear type (trawl), species, parasite (both ecto- and endo-), and site of infection (i.e. data on parasite type and location) data were collected. The documentation describes instruments employed for sampling, units, and a detailed description of the record format. These studies were part of the Mid-Atlantic Outer Continental Shelf Studies (OCS). These data were collected by the Virginia Institute of Marine Science (VIMS). Special codes employed by VIMS to describe parasite types and location were included as hardcopy. The original information submitted on tape has been converted into the current NODC storage format. proprietary -gov.noaa.nodc:7700456_Not Applicable BENTHIC SPECIES and Other Data from GILLISS and Other Platforms from 1976-06-14 to 1976-09-02 (NCEI Accession 7700456) NOAA_NCEI STAC Catalog 1976-06-14 1976-09-02 -75.3, 37.5, -71.9, 39.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386139-NOAA_NCEI.umm_json "Data submitted by Dr. Gerald L. Engel. The data was collected between June 1976 and September 1976. This study was organized to collect Histopathology and Benthic data. SST, wave, turbidity, gear type (trawl v.s dredge), benthic species counts and weights were collected. These data are ""megabenthic"" species. The documentation describes instruments employed for sampling, units, and a detailed description of the record format. The original data on tape has been converted to current NODC storage format. These studies were part of the Mid-Atlantic Outer Continental Shelf Studies (OCS). These data were collected by the Virginia Institute of Marine Science (VIMS)." proprietary -gov.noaa.nodc:7700466_Not Applicable Chemical analysis of sediment samples from the mid-Atlantic Outer Continental Shelf (OCS) collected by the CAPE HENLOPEN and Other Platforms from 1975-10-27 to 1976-08-27 (NCEI Accession 7700466) NOAA_NCEI STAC Catalog 1975-10-27 1976-08-27 -75.070556, 37.736389, -72.445, 39.498611 https://cmr.earthdata.nasa.gov/search/concepts/C2089386170-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700472_Not Applicable BENTHIC SPECIES and Other Data from GILLISS and Other Platforms From NW Atlantic (limit-40 W) and Others from 1975-10-27 to 1976-09-02 (NCEI Accession 7700472) NOAA_NCEI STAC Catalog 1975-10-27 1976-09-02 -80, 30, -70, 50 https://cmr.earthdata.nasa.gov/search/concepts/C2089386177-NOAA_NCEI.umm_json Microbenthic data was collected by the Virginia Institute of Marine Science (VIMS) as part of the BLM/OCS Mid (NE) Atlantic program. The data were collected from the R/V W. PIERCE from February to March 1976. The data was collected to study the Benthic organisms. Benthic species were counted and benthic taxa were identified. These data were submitted by Dr. Gerald L. Engel. The measurements included station depth; surface and sediment temperature in degrees centigrade; wind speed and direction; wave/swell height and direction; instrumentation; penetration depth; gear type; sediment core dimensions (width and penetration depth in centimeters); depth of sediment corer penetration; cloud cover and turbidity. The documentation includes a detailed record format. Data were originally filed in a VIMS format tape has been converted into current NODC data storage format. proprietary -gov.noaa.nodc:7700484_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from G. W. PIERCE from 1976-02-19 to 1976-03-23 (NCEI Accession 7700484) NOAA_NCEI STAC Catalog 1976-02-19 1976-03-23 -75.309444, 37.093611, -71.951944, 39.888889 https://cmr.earthdata.nasa.gov/search/concepts/C2089386211-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700489_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER from 1975-08-29 to 1976-08-31 (NCEI Accession 7700489) NOAA_NCEI STAC Catalog 1975-08-29 1976-08-31 -151.3, 5.4, -125, 18 https://cmr.earthdata.nasa.gov/search/concepts/C2089386221-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700523_Not Applicable Cloud amount/frequency, NITRATE and other data from PANULIRUS II from 1976-04-06 to 1977-02-23 (NCEI Accession 7700523) NOAA_NCEI STAC Catalog 1976-04-06 1977-02-23 -64.5, 32.1, -64.5, 32.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386230-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700525_Not Applicable Chemical, physical, and other data from bottle and CTD casts from the KNORR and MELVILLE as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS) from 1972-07-18 to 1974-06-10 (NCEI Accession 7700525) NOAA_NCEI STAC Catalog 1972-07-18 1974-06-10 -5, -60, -140, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089386247-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from bottle and CTD casts from the KNORR and MELVILLE from 18 July 1972 to 10 June 1974. Data were collected by the Scripps Institution of Oceanography (SIO) as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS). Physical parameters include depth, temperature, salinity, and pressure. Chemical parameters include concentrations of oxygen, phosphate, nitrate, nitrite, and silicate. Analog data are availabe for this accession by contacting NODC user services. proprietary -gov.noaa.nodc:7700776_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship OCEANOGRAPHER from 1976-10-27 to 1976-11-14 (NCEI Accession 7700776) NOAA_NCEI STAC Catalog 1976-10-27 1976-11-14 -151.3, 7.9, -137, 12.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386621-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700822_Not Applicable Cloud amount/frequency, NITRATE and other data from BLUE FIN in the NW Atlantic from 1976-07-14 to 1976-08-18 (NCEI Accession 7700822) NOAA_NCEI STAC Catalog 1976-07-14 1976-08-18 -77.8, 33.2, -76.2, 34.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089386660-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7700882_Not Applicable Cloud amount/frequency, NITRATE and other data from LE NOROIT, LA PERLE and other platforms from 1972-05-02 to 1973-10-03 (NCEI Accession 7700882) NOAA_NCEI STAC Catalog 1972-05-02 1973-10-03 -17.5, 29, -2.5, 65.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386829-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7800148_Not Applicable Cloud amount/frequency, NITRATE and other data from EASTWARD from 1976-05-11 to 1976-05-21 (NCEI Accession 7800148) NOAA_NCEI STAC Catalog 1976-05-11 1976-05-21 -71.3, 39.2, -65.5, 42.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387019-NOAA_NCEI.umm_json Water Depth and other data collected by Woods Hole Oceanographic Institution from EASTWARD cruise from May 11-21, 1976. The high resolution Conductivity, Temperature and Depth (CTD) measurements are stored in NODC format file F022. More information regarding this file format can be obtained from the URL: http://www.nodc.noaa.gov/General/NODC-Archive/f022.html proprietary -gov.noaa.nodc:7800207_Not Applicable Bacteriology data from moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean during the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project, 1976-11-05 to 1977-08-16 (NCEI Accession 7800207) NOAA_NCEI STAC Catalog 1976-11-05 1977-08-16 -75.3, 37.1, -70.6, 39.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387045-NOAA_NCEI.umm_json Bacteriology data were collected using moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean from November 5, 1976 to August 16, 1977. Data were submitted by Virginia Institute of Marine Science - Gloucester Point as part of the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project. Data has been been processed by NODC to the standard NODC F009- Bacteriology formats. Full format descriptions are available from NODC homepage at https://intra.nodc.noaa.gov/Information/Teams/apd_info/md_improvement _project2004/MULDARS_FGDCs/F009.txt The F009 format is designed to support bacteriological studies of the water column and ocean bottom. Information on environmental conditions, physical measurements of the water and sediment, and denisty of heterotrophic, hydrocarbonclastic, and halophilic bacteria are presented. The format contains five data record types, each 80 characters in length, sorted by station ad sequence numbers. The first nine columns for all records are to be used for file name (columns 1-3) and file identifier (columns 4-9). The file identifier, to be assigned by the orginator, is an unique originator id for each data submission. After submission, the NODCreassigns to this field an unique NODC indentifier for internal use. proprietary -gov.noaa.nodc:7800886_Not Applicable Benthic organisms and marine toxic substances and pollutants collected using net and sediment samplers from NOAA Ship MT. MITCHELL and other platforms from 1974-05-22 to 1974-05-27 (NCEI Accession 7800886) NOAA_NCEI STAC Catalog 1974-05-22 1974-05-27 -73.6, 38.6, -70, 39.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387712-NOAA_NCEI.umm_json Benthic organisms and marine toxic substances and pollutants were collected using sediment sampler and net casts in the coastal waters of the East coast of US. Data were submitted by Dr. J.C. Ayres of the Marine Fisheries Service in Highlands. Data were collected from 22 May 1974 to 27 May 1974. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:7900006_Not Applicable Chemical data from moored current meter, bottle casts, and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-06-23 to 1978-06-30 (NCEI Accession 7900006) NOAA_NCEI STAC Catalog 1978-06-23 1978-06-30 -93.7, 29, -91.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089387769-NOAA_NCEI.umm_json Chemical data were collected using moored current meter, bottle casts, and other instruments in the Gulf of Mexico from June 18, 1978 to June 24, 1981. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Current Meter Data, and F144 Marine Toxic Substances formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:7900247_Not Applicable Bacteriology, wind wave spectra, and benthic organism data from moored buoy casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-02-01 to 1979-05-03 (NCEI Accession 7900247) NOAA_NCEI STAC Catalog 1978-02-01 1979-05-03 -95.3, 28.7, -91.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089384809-NOAA_NCEI.umm_json "Bacteriology, wind wave spectra, and benthic organism data were collected using moored buoy casts and other instruments in the Gulf of Mexico from February 1, 1978 to May 3, 1979. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the standard NODC F009- Bacteriology, F132- Benthic Organisms, and F191- Wind Wave Spectra formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F009 format is designed to support bacteriological studies of the water column and ocean bottom. Information on environmental conditions, physical measurements of the water and sediment, and denisty of heterotrophic, hydrocarbonclastic, and halophilic bacteria are presented. The format contains five data record types, each 80 characters in length, sorted by station ad sequence numbers. The first nine columns for all records are to be used for file name (columns 1-3) and file identifier (columns 4-9). The file identifier, to be assigned by the orginator, is an unique originator id for each data submission. After submission, the NODCreassigns to this field an unique NODC indentifier for internal use. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. ""Self-documenting files containing, [datatypes]."" The F191 format is used to report meteorological data and ocean wave spectra data from NDBO. The format contains seven data record types to: 1) Identify the buoy for position, duration, rate of sampling and heading. 2) Identify the meteorological parameters (temperature, pressure, weather, solar radiation, and surface waves). 3) Report time series frequency, density and resolution of waves. Each record is 120 characters in length, sorted by station and record type. The first nine columns for all records are to be used for file type (columns 1-3) and file identifier (column 4-9). The file identifier, to be assigned by the originator, is an unique originator id for each data submission. After submission, the NODC reassigns to this field an unique NODC identifier for internal use." proprietary -gov.noaa.nodc:7900280_Not Applicable Chemical data from moored current meter, bottle casts, and other instruments in the Coastal Waters of New Jersey as part of the Mesa New York Bight (MESA - NYB) project, 1978-05-18 to 1978-10-19 (NCEI Accession 7900280) NOAA_NCEI STAC Catalog 1978-05-18 1978-10-19 -73.8, 40.4, -73.5, 40.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089384961-NOAA_NCEI.umm_json Chemical data were collected using moored current meter, bottle casts, and other instruments in the Coastal Waters of New Jersey from May 18, 1978 to October 19, 1978. Data were submitted by Nassau County Department of Health; Bureau of Water Surveillance as part of the Mesa New York Bight (MESA - NYB) project. Data has been been processed by NODC to the NODC standard F004- Current Meter Data, and F144 Marine Toxic Substances formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:7900304_Not Applicable Benthic organisms and marine toxic substances and pollutants collected using sediment sampler and net casts from the GUS III and EXCELLENCE in the Gulf of Mexico from 1978-05-24 to 1979-02-26 (NCEI Accession 7900304) NOAA_NCEI STAC Catalog 1978-05-24 1979-02-26 -95.3, 28.7, -91.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385226-NOAA_NCEI.umm_json Benthic organisms and marine toxic substances and pollutants were collected using sediment sampler and net casts in the Gulf of Mexico. Data were submitted by Texas A&M University and Energy Resources Co. Inc.s. with support from the Brine Disposal project. Data were collected from the GUS III and EXCELLENCE from 24 May 1978 to 26 February 1979. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:7900310_Not Applicable BIRDS from THOMAS G. THOMPSON from 1978-04-09 to 1978-04-28 (NCEI Accession 7900310) NOAA_NCEI STAC Catalog 1978-04-09 1978-04-28 -169.5, 54.3, -154.7, 57.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089385623-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:7900332_Not Applicable Benthic organisms collected using sediment sampler and net casts from the GUS III and EXCELLENCE in the Gulf of Mexico from 1978-05-22 to 1979-04-20 (NCEI Accession 7900332) NOAA_NCEI STAC Catalog 1978-05-22 1979-04-20 -95.3, 28.8, -95.3, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089385740-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler and net casts in the Gulf of Mexico. Data were submitted by Texas A&M University with support from the Brine Disposal project. Data were collected from the GUS III and EXCELLENCE from 22 May 1978 to 20 April 1979. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8000002_Not Applicable Chemical, zooplankton, and marine toxic substances data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-06-02 to 1979-06-02 (NCEI Accession 8000002) NOAA_NCEI STAC Catalog 1978-06-02 1979-06-02 -93.6, 29, -91.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385810-NOAA_NCEI.umm_json Chemical, zooplankton, and marine toxic substances data were collected using moored current meter casts and other instruments in the Gulf of Mexico from June 2, 1978 to June 2, 1979. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the standard NODC F004- Water Physics and Chemistry, F124- Zooplankton, and F144- Marine Toxic Substances formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:8000013_Not Applicable Benthic organisms data collected using sediment sampler and net casts from NOAA Ship DELAWARE II and other platforms in the New York Blight from 1957-06-19 to 1978-07-20 (NCEI Accession 8000013) NOAA_NCEI STAC Catalog 1957-06-19 1978-07-20 -75.5, 36.9, -69.2, 41.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385843-NOAA_NCEI.umm_json Benthic organisms data were collected using sediment sampler and net casts from NOAA Ship DELAWARE II and other platforms in the New York Blight from 19 June 1957 to 20 July 1978. Data were submitted by the Virginia Institute of Marine Science with support from the MESA - New York Blight project.Data were processed by NODC to the NODC standard F132 Benthic Organism format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f132.html. An analog file for this accession is available from NODC user services. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8000075_Not Applicable Cloud amount/frequency, NITRATE and other data from ACONA from 1977-10-30 to 1979-08-24 (NCEI Accession 8000075) NOAA_NCEI STAC Catalog 1977-10-30 1979-08-24 -167.1, 52.8, -130.4, 61.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386065-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000132_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER from 1979-08-18 to 1979-08-24 (NCEI Accession 8000132) NOAA_NCEI STAC Catalog 1979-08-18 1979-08-24 -125.9, 47.6, -123.4, 48.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386100-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000236_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship FERREL from 1978-06-26 to 1979-06-03 (NCEI Accession 8000236) NOAA_NCEI STAC Catalog 1978-06-26 1979-06-03 -93.6, 29, -91.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089386298-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000344_Not Applicable Cloud amount/frequency, NITRATE and other data from ACONA from 1979-09-19 to 1979-12-12 (NCEI Accession 8000344) NOAA_NCEI STAC Catalog 1979-09-19 1979-12-12 -167.1, 51, -146.7, 61.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386688-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000417_Not Applicable Chemical, physical, and other data from bottle and CTD casts from the MELVILLE from the Indian Ocean as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS) from 1977-12-04 to 1978-04-24 (NCEI Accession 8000417) NOAA_NCEI STAC Catalog 1977-12-04 1978-04-24 8.1, -37.8, 79.9, 37.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089386989-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from bottle and CTD casts in the Indian from the MELVILLE from 04 December 1977 to 24 April 1978. Data were collected by the Scripps Institution of Oceanography (SIO) as part of the International Decade of Ocean Exploration / Geochemical Ocean Study (IDOE/GEOSECS). Physical parameters include depth, temperature, salinity, pH, and pressure. Chemical parameters include concentrations of carbon dioxide, oxygen, phosphate, nitrate, nitrite, and silicate. Analog data are available for this accession by contacting NODC user services. proprietary -gov.noaa.nodc:8000424_Not Applicable Cloud amount/frequency, NITRATE and other data from G. W. PIERCE, COLUMBUS ISELIN and PAN PACIFIC in the Mid-Atlantic Bight from 1979-03-14 to 1979-11-02 (NCEI Accession 8000424) NOAA_NCEI STAC Catalog 1979-03-14 1979-11-02 -81.3, 29, -76.9, 33.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387004-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000502_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1979-04-26 to 1979-11-19 (NCEI Accession 8000502) NOAA_NCEI STAC Catalog 1979-04-26 1979-11-19 -95.5, 28.8, -95.3, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387372-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 26 April 1979 to 19 November 1979. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8000503_Not Applicable BOTTOM TYPE and Other Data from EXCELLENCE from 1979-04-24 to 1980-04-21 (NCEI Accession 8000503) NOAA_NCEI STAC Catalog 1979-04-24 1980-04-21 -95.3, 28.7, -95.2, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387387-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000523_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1979-07-30 to 1979-12-16 (NCEI Accession 8000523) NOAA_NCEI STAC Catalog 1979-07-30 1979-12-16 -95.3, 28.7, -95.2, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387444-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 30 July 1979 to 16 December 1979. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8000543_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-06-17 to 1980-07-02 (NCEI Accession 8000543) NOAA_NCEI STAC Catalog 1980-06-17 1980-07-02 -167, 54.2, -152.9, 58.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387491-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000544_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-06-11 to 1980-06-13 (NCEI Accession 8000544) NOAA_NCEI STAC Catalog 1980-06-11 1980-06-13 -149.7, 59.5, -149.2, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089387501-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000581_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-07-06 to 1980-07-25 (NCEI Accession 8000581) NOAA_NCEI STAC Catalog 1980-07-06 1980-07-25 -175.1, 52, -149.4, 60.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387587-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8000602_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico for 1980-01-28 (NCEI Accession 8000602) NOAA_NCEI STAC Catalog 1980-01-28 1980-01-28 -95.3, 28.8, -95.3, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387695-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 28 January 1980 to 28 January 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8000603_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico for 1979-12-19 (NCEI Accession 8000603) NOAA_NCEI STAC Catalog 1979-12-19 1979-12-19 -95.3, 28.8, -95.3, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387700-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 19 December 1979 to 19 December 1979. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100023_Not Applicable Cloud amount/frequency, NITRATE and other data from ACONA from 1979-07-29 to 1979-07-30 (NCEI Accession 8100023) NOAA_NCEI STAC Catalog 1979-07-29 1979-07-30 -146.9, 60.9, -146.2, 61.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387808-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100223_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-01-18 to 1980-11-04 (NCEI Accession 8100223) NOAA_NCEI STAC Catalog 1980-01-18 1980-11-04 -95.3, 28.7, -95.2, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089384733-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 18 January 1980 to 04 November 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100224_Not Applicable Benthic organisms collected using sediment sampler from the SW RESEARCHER in the Gulf of Mexico from 1977-09-22 to 1977-12-16 (NCEI Accession 8100224) NOAA_NCEI STAC Catalog 1977-09-22 1977-12-16 -94.2, 29.5, -93.2, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089384742-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the SW RESEARCHER in the Gulf of Mexico from 22 September 1977 to 16 December 1977. Data were submitted by the Science Application, INC. with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100360_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1969-08-20 to 1969-09-17 (NCEI Accession 8100360) NOAA_NCEI STAC Catalog 1969-08-20 1969-09-17 -129.2, 39.5, -123.9, 48.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089384780-NOAA_NCEI.umm_json Conductivity, temperature and Depth probe was used to collect data from NOAA Ship DAVID STARR JORDAN. The data were collected from NE Pacific (limit-180) over one month duration from August 20, 1969 to September 17, 1969 by National Marine Fisheries Service, La Jolla, CA. proprietary -gov.noaa.nodc:8100361_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1971-07-01 to 1971-07-12 (NCEI Accession 8100361) NOAA_NCEI STAC Catalog 1971-07-01 1971-07-12 -135.3, 32.4, -128.9, 41.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089384792-NOAA_NCEI.umm_json Conductivity, temperature and Depth probe was used to collect data from NOAA Ship DAVID STARR JORDAN. The data were collected from NE Pacific (limit-180) over 12 days duration from July 1-12 1971 by National Marine Fisheries Service, La Jolla, CA. The data is stored in High-Resolution CTD Data (F022). The following URL provides more information regarding the F022 format. http://www.nodc.noaa.gov/General/NODC-Archive/f022.html proprietary -gov.noaa.nodc:8100362_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship TOWNSEND CROMWELL in the NE Pacific from 1972-06-04 to 1972-06-24 (NCEI Accession 8100362) NOAA_NCEI STAC Catalog 1972-06-04 1972-06-24 -140.2, 30.9, -134.8, 40.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089384804-NOAA_NCEI.umm_json Conductivity, temperature and Depth probe was used to collect data from NOAA Ship TOWNSEND CROMWELL. The data were collected from NE Pacific (limit-180) over 20 days duration from June 4-24, 1972 by National Marine Fisheries Service, La Jolla, CA. The data is stored in High-Resolution CTD Data (F022). The following URL provides more information regarding the F022 format. http://www.nodc.noaa.gov/General/NODC-Archive/f022.html proprietary -gov.noaa.nodc:8100436_Not Applicable Chemical, meteorological and other data from bottle casts and other instruments from the ARGOS, Arni Fridriksson and other platforms in the Barents Sea, North Sea and other locations from 1969-04-21 to 1979-07-12 (NCEI Accession 8100436) NOAA_NCEI STAC Catalog 1969-04-21 1979-07-12 -57.6, 53.7, 37.3, 76.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089384930-NOAA_NCEI.umm_json This accession contains oceanographic data collected from bottle casts and other instruments. Data were collected from the ARGOS, Arni Fridriksson and other platforms in the Barents Sea, North Sea and other locations. Data are in the Oceanographic Station Data (SD2) format which includes meteorological, chemical and physical parameters. Data were collected from 1969-04-21 to 1979-07-12. proprietary -gov.noaa.nodc:8100438_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1973-06-11 to 1973-07-04 (NCEI Accession 8100438) NOAA_NCEI STAC Catalog 1973-06-11 1973-07-04 -140.1, 30.5, -125.9, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2089384951-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100456_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-05-22 to 1980-07-25 (NCEI Accession 8100456) NOAA_NCEI STAC Catalog 1980-05-22 1980-07-25 -95.3, 28.7, -95.2, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089384992-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 22 May 1980 to 25 July 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100458_Not Applicable CHLOROPHYLL A - INTEGRATED, CARBON ASSIMILATION - INTEGRATED and other data from SW RESEARCHER from 1977-10-21 to 1978-10-19 (NCEI Accession 8100458) NOAA_NCEI STAC Catalog 1977-10-21 1978-10-19 -94.6, 29.5, -93.2, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385012-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100471_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-03-31 to 1980-07-02 (NCEI Accession 8100471) NOAA_NCEI STAC Catalog 1980-03-31 1980-07-02 -95.3, 28.8, -95.3, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089385072-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 31 March 1980 to 02 July 1980. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100491_Not Applicable Benthic organisms collected using sediment sampler from the SW RESEARCHER and other platforms in the Gulf of Mexico from 1978-02-03 to 1978-10-19 (NCEI Accession 8100491) NOAA_NCEI STAC Catalog 1978-02-03 1978-10-19 -95.3, 28.7, -93.2, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385537-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the SW RESEARCHER in the Gulf of Mexico from 03 February 1978 to 19 October 1978. Data were submitted by the Science Application, INC. with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100494_Not Applicable BIRDS from ALPHA HELIX and Other Platforms from 1980-05-21 to 1980-10-25 (NCEI Accession 8100494) NOAA_NCEI STAC Catalog 1980-05-21 1980-10-25 -169.6, 54.2, -161.2, 57.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089385612-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100495_Not Applicable BIRDS from THOMAS G. THOMPSON from 1980-04-06 to 1980-04-23 (NCEI Accession 8100495) NOAA_NCEI STAC Catalog 1980-04-06 1980-04-23 -167.8, 54, -162.7, 57.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385622-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100496_Not Applicable BIRDS from THOMAS G. THOMPSON from 1980-04-28 to 1980-08-19 (NCEI Accession 8100496) NOAA_NCEI STAC Catalog 1980-04-28 1980-08-19 -169.7, 54.8, -163, 58.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385633-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100497_Not Applicable BIRDS from THOMAS G. THOMPSON from 1980-03-21 to 1980-04-03 (NCEI Accession 8100497) NOAA_NCEI STAC Catalog 1980-03-21 1980-04-03 -168, 54.1, -163.7, 57.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089385643-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100503_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1980-08-12 to 1980-12-11 (NCEI Accession 8100503) NOAA_NCEI STAC Catalog 1980-08-12 1980-12-11 -168.4, 53.6, -146, 61.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089385682-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100566_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE in the Gulf of Mexico from 1980-10-23 to 1981-02-18 (NCEI Accession 8100566) NOAA_NCEI STAC Catalog 1980-10-23 1981-02-18 -95.3, 28.7, -95.2, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089385909-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE in the Gulf of Mexico from 23 October 1980 to 18 February 1981. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8100606_Not Applicable Cloud amount/frequency, NITRATE and other data from JEAN A. from 1980-06-17 to 1980-06-21 (NCEI Accession 8100606) NOAA_NCEI STAC Catalog 1980-06-17 1980-06-21 -66, 17.7, -65.5, 18.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386017-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100613_Not Applicable BIRDS from ACONA and Other Platforms from 1979-04-07 to 1979-06-17 (NCEI Accession 8100613) NOAA_NCEI STAC Catalog 1979-04-07 1979-06-17 -169.9, 54, -133.1, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089386072-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100667_Not Applicable BIRDS from ALPHA HELIX and Other Platforms from 1981-01-03 to 1981-07-03 (NCEI Accession 8100667) NOAA_NCEI STAC Catalog 1981-01-03 1981-07-03 -178.8, 53.9, -136.2, 64.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089386265-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8100711_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship TOWNSEND CROMWELL from 1975-06-20 to 1975-07-03 (NCEI Accession 8100711) NOAA_NCEI STAC Catalog 1975-06-20 1975-07-03 -150.9, 24.1, -125.2, 48.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386391-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from NOAA Ship TOWNSEND CROMWELL (cruise # 65) and other platforms. The data was collected over a period spanning from June 20, 1975 to July 3, 1975. Data was submitted by National Marine Fisheries Service, La Jolla, CA. The high resolution CTD data is available in the F022 format of NODC. Following URL http://www.nodc.noaa.gov/General/NODC-Archive/f022.html provides more information on the data format. proprietary -gov.noaa.nodc:8100731_Not Applicable Chemical, phytoplankton, zooplankton, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1980-04-17 to 1981-07-17 (NCEI Accession 8100731) NOAA_NCEI STAC Catalog 1980-04-17 1981-07-17 -95.3, 28.7, -93.3, 30.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386454-NOAA_NCEI.umm_json Current direction, chemical, phytoplankton, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from April 17, 1980 to July 17, 1981. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F069- Marine Chemistry, and F124- Zooplankton formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. proprietary -gov.noaa.nodc:8200012_Not Applicable Chemical, benthic organisms, zooplankton, marine toxic substances, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1979-08-30 to 1981-09-21 (NCEI Accession 8200012) NOAA_NCEI STAC Catalog 1979-08-30 1981-09-21 -95.4, 28.6, -93.3, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089386543-NOAA_NCEI.umm_json "Chemical, marine toxic substances, benthic organisms, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from August 30, 1979 to September 21, 1981. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F069- Marine Chemistry, F123- Fish Shellfish Resources, F124- Zooplankton, F132- Benthic Organisms, and F144- Marine Toxic Substances formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. "" Self-documenting files cotnaining [datatypes].""" proprietary -gov.noaa.nodc:8200015_Not Applicable BIRDS from ALPHA HELIX and Other Platforms from 1981-05-31 to 1981-07-21 (NCEI Accession 8200015) NOAA_NCEI STAC Catalog 1981-05-31 1981-07-21 -170.1, 54.3, -160.7, 67.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089386561-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200045_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1981-07-23 to 1981-11-16 (NCEI Accession 8200045) NOAA_NCEI STAC Catalog 1981-07-23 1981-11-16 -175, 48, -147.8, 71.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089386713-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200064_Not Applicable Chemical, phytoplankton, zooplankton, benthic organisms, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1981-02-12 to 1982-01-05 (NCEI Accession 8200064) NOAA_NCEI STAC Catalog 1981-02-12 1982-01-05 -95.3, 28.6, -93.3, 30.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386898-NOAA_NCEI.umm_json Chemical, phytoplankton, benthic organisms, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from February 12, 1981 to January 5, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F123- Fish Shellfish Resources, F124- Zooplankton, and F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8200069_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1981-11-17 to 1981-11-24 (NCEI Accession 8200069) NOAA_NCEI STAC Catalog 1981-11-17 1981-11-24 -149.7, 59.1, -144.4, 60.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386931-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200079_Not Applicable Cloud amount/frequency, NITRATE and other data from DISCOVERY from 1979-05-16 to 1979-06-30 (NCEI Accession 8200079) NOAA_NCEI STAC Catalog 1979-05-16 1979-06-30 40, -4.2, 53.1, 9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386971-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200103_Not Applicable Benthic organism and marine toxic substances and pollutants collected using net and sediment sampler casts from NOAA Ship RESEARCHER in Gulf of Mexico from 1979-07-23 to 1980-12-13 (NCEI Accession 8200103) NOAA_NCEI STAC Catalog 1979-07-23 1980-12-13 -97.5, 2.7, -90.7, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089387076-NOAA_NCEI.umm_json Benthic organism and marine toxic substances and pollutants were collected using net, sediment sampler, and other instruments from NOAA Ship RESEARCHER and other platforms in the Gulf of Mexico. Data were submitted by the Energy Resources Co., INC. with support from IXTOC project. Data were collected from 23 July 1979 to 13 December 1980. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:8200176_Not Applicable BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1981-06-01 to 1982-01-01 (NCEI Accession 8200176) NOAA_NCEI STAC Catalog 1981-06-01 1982-01-01 -93.1, 28.4, -92, 29.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387342-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200181_Not Applicable BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1981-01-01 to 1981-02-01 (NCEI Accession 8200181) NOAA_NCEI STAC Catalog 1981-01-01 1981-02-01 -93.1, 28.4, -92, 29.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387379-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200183_Not Applicable Chemical, zooplankton, phytoplankton, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1981-02-17 to 1982-05-27 (NCEI Accession 8200183) NOAA_NCEI STAC Catalog 1980-02-17 1982-05-27 -93.9, 29.4, -93.3, 30.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387386-NOAA_NCEI.umm_json Chemical, phytoplankton, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from February 17, 1980 to May 27, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F069- Marine Chemistry, F123- Fish Shellfish Resource, and F124- Zooplankton formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. proprietary -gov.noaa.nodc:8200219_Not Applicable BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1981-01-01 to 1982-01-01 (NCEI Accession 8200219) NOAA_NCEI STAC Catalog 1981-01-01 1982-01-01 -93.1, 28.4, -92, 29.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387551-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200236_Not Applicable Cloud amount/frequency, NITRATE and other data from KAKADIAMAA, HARKNESS and other platforms from 1980-01-16 to 1982-10-30 (NCEI Accession 8200236) NOAA_NCEI STAC Catalog 1980-01-16 1982-10-30 -162.4, 4.6, 0.9, 56.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387645-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8200245_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX and REDOUBT from 1982-06-02 to 1982-09-25 (NCEI Accession 8200245) NOAA_NCEI STAC Catalog 1982-06-02 1982-09-25 -168, 53.6, -130.4, 61 https://cmr.earthdata.nasa.gov/search/concepts/C2089387668-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300017_Not Applicable BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1982-01-01 to 1982-06-01 (NCEI Accession 8300017) NOAA_NCEI STAC Catalog 1982-01-01 1982-06-01 -93.1, 28.4, -92, 29.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387730-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300037_Not Applicable Chemical, physical, phytoplankton weight, and other data collected using meteorological sensors, plankton net, secchi disk, CTD, and bottle casts from the G.W. PIERCE as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1971-06-19 to 1980-09-14 (NCEI Accession 8300037) NOAA_NCEI STAC Catalog 1971-06-19 1980-09-14 -60, -80, 20, 20 https://cmr.earthdata.nasa.gov/search/concepts/C2089387823-NOAA_NCEI.umm_json Chemical, physical, phytoplankton weight, and other data were collected from the G.W. PIERCE from June 19, 1971 to September 14, 1980. Data were collected using meteorological sensors, plankton net, secchi disk, and bottle casts from the South Atlantic Ocean. Data were submitted by Skidaway Institute of Oceanography (SKIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:8300043_Not Applicable Cloud amount/frequency, NITRATE and other data from KNORR, ALPHA HELIX and REDOUBT from 1977-06-02 to 1982-10-25 (NCEI Accession 8300043) NOAA_NCEI STAC Catalog 1977-06-02 1982-10-25 -179.9, 32.6, -32, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2089387866-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300062_Not Applicable BIRDS from ALPHA HELIX from 1982-09-30 to 1982-10-15 (NCEI Accession 8300062) NOAA_NCEI STAC Catalog 1982-09-30 1982-10-15 -179.8, 56.8, -167.3, 69.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388087-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300075_Not Applicable Chemical, zooplankton, phytoplankton, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1982-09-07 to 1982-11-30 (NCEI Accession 8300075) NOAA_NCEI STAC Catalog 1982-09-07 1982-11-30 -93.9, 29.5, -93.3, 30.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388307-NOAA_NCEI.umm_json Chemical, phytoplankton, zooplankton, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from September 7, 1982 to November 11, 1982. Data were submitted by Texas A&M University as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F028- Phytoplankton, F069- Marine Chemistry, F123- Fish Shellfish Resource, and F124- Zooplankton formats. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F069 format is used for data from chemical analyses of seawater samples. Cruise information, position, date, and time is reported for each station along with sample depth, temperature, salinity, and density (sigma-t). Chemical and biochemical parameters that may be reported include: dissolved oxygen, nitrate, nitrite, ammonia, inorganic phosphate, and silicate; dissolved organic carbon, particulate organic carbon, and particulate organic nitrogen; and apparent oxygen utilization, percent oxygen saturation, adenosine triphosphate, total phaeophytin, total chlorophyll, total suspended matter, total recoverable petroleum hydrocarbons, and total resolved light hydrocarbons. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F124 format is used for data from sampling and analysis of marine zooplankton. Information on zooplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: cruise information, position, date, and time of sampling; bottom depth, sampling depths, temperature, and salinity; gear type, volume of water filtered, total dry and wet weight, and other data for total haul; and data for subsamples by species. Data on zooplankton catch by species may include subsample size, zooplankton concentration, life history code, and numbers of adults, juveniles, eggs, and larvae. Estimated density of holoplankton and meroplankton and data on ichthyoplankton may also be reported. A text record is available for comments. Note: there are two options for reporting subsample counts of individuals at different life history stages. If life history codes are used, only number of adults should be reported on that record. Additional separate records should then be used to report number of juveniles and so on. Alternatively, life history codes may not be used and number of adults, juveniles, and so entered in the proper fields of a single record. proprietary -gov.noaa.nodc:8300082_Not Applicable Benthic organisms collected using sediment sampler from the CAPT. BRADY J in the Gulf of Mexico from (NCEI Accession 8300082) NOAA_NCEI STAC Catalog 1982-05-03 1982-10-13 -93.5, 29.7, -93.3, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089388365-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the CAPT. BRADY J and CAJUN SPECIAL in the Gulf of Mexico from 03 May 1982 to 13 October 1982. Data were submitted by the Mcneese State University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8300103_Not Applicable Bathythermograph (XBT) data from US Navy ships of opportunity and other platforms: 06 June 1974 to 12 November 1974 (NCEI Accession 8300103) NOAA_NCEI STAC Catalog 1974-06-06 1980-11-12 100, -40.3, 50, 76.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388464-NOAA_NCEI.umm_json Temperature profile data were collected using XBT casts from the AFRICAN COMET and other platforms in the Pacific Ocean, Indian Ocean, Atlantic Ocean, and more locations. Data were collected from 06 June 1974 to 12 November 1980. Data were collected by the US Navy; Ships of Opportunity and Farrell Lines with support from the Gulf of Mexico NOAA/NMFS Ships of Opportunity (SOOP) project. proprietary -gov.noaa.nodc:8300104_Not Applicable Cloud amount/frequency, NITRATE and other data from COLUMBUS ISELIN from 1979-03-03 to 1981-11-06 (NCEI Accession 8300104) NOAA_NCEI STAC Catalog 1979-03-03 1981-11-06 -79, -2.3, 53.4, 28.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388477-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300131_Not Applicable Cloud amount/frequency, NITRATE and other data from MITO MARU, NANAO-MARU and other platforms from 1963-11-27 to 1982-06-05 (NCEI Accession 8300131) NOAA_NCEI STAC Catalog 1963-11-27 1982-06-05 -14.2, -68.4, 179.7, 67.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089388608-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300138_Not Applicable BAROMETRIC PRESSURE and Other Data from FIXED PLATFORM from 1982-09-01 to 1982-12-01 (NCEI Accession 8300138) NOAA_NCEI STAC Catalog 1982-09-01 1982-12-01 -96.2, -29.5, -91, 29.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089388636-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300152_Not Applicable Chemical and bathythermograph data from moored current meter casts and other instruments from NOAA Ship Researcher and other platforms in the Gulf of Mexico with support from the Brine Disposal project, 1981-05-19 to 1983-04-12 (NCEI Accession 8300152) NOAA_NCEI STAC Catalog 1981-05-19 1983-04-12 -93.6, 25.1, -72.9, 30.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388703-NOAA_NCEI.umm_json "Chemical and bathythermograph data were collected using moored current meter casts and other instruments from NOAA Ship RESEARCHER and CAPT. BRADY J in the Gulf of Mexico from May 19, 1981 to April 12, 1983. Data were submitted by RAYTHEON CO. as part of the Brine Disposal project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry format and Universal Bathythermograph Output (UBT) format. Full format descriptions are available from NODC homepage at http://www.noaa.nodc.gov. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The UBT file format is used for temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Standard XBTs can obtain profiles at depths of about 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Cruise information, position, date, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Unlike the MBT data file, in which temperature values are recorded at uniform 5m intervals, the XBT Data File contains temperature values at non-uniform depths. These depths are at a minimum number of points (""inflection points"") required to record the temperature curve to an acceptable degree of accuracy. On output, however, the user may request temperature values either at inflection points or interpolated to uniform depth increments." proprietary -gov.noaa.nodc:8300168_Not Applicable BIRDS from ALPHA HELIX from 1982-07-26 to 1982-08-08 (NCEI Accession 8300168) NOAA_NCEI STAC Catalog 1982-07-26 1982-08-08 -169.5, 54.7, -162.9, 57.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089384655-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8300195_Not Applicable Chemical, physical, phytoplankton biomass, and other data were collected using plankton net as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1971-06-19 to 1977-06-15 (NCEI Accession 8300195) NOAA_NCEI STAC Catalog 1971-06-19 1977-06-15 -130, 30, -120, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089384727-NOAA_NCEI.umm_json Chlorophyll A and Phaeophytin A data collected by various ships in Monterey Bay, California. The data were collected from June 19, 1971 to June 15, 1977 as part of California Cooperative Fisheries Investigations (CALCOFI) project. The original data were recorded in ASCII and submitted on an unlabeled 9-track 1600 BPI magnetic tape. The documentation includes a record format description and title pages of technical reports associated with this investigation. Principal Investigator was Dr. Mary Silver. The study was carried out by University of California at Santa Cruz, Monterey Bay, California. proprietary -gov.noaa.nodc:8400043_Not Applicable Benthic organisms collected using sediment sampler from the EXCELLENCE and other platforms in the Gulf of Mexico from 1981-12-09 to 1985-08-26 (NCEI Accession 8400043) NOAA_NCEI STAC Catalog 1980-12-09 1985-08-26 -95.3, 28.7, -93.3, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089384920-NOAA_NCEI.umm_json Benthic organisms were collected using sediment sampler casts from the EXCELLENCE and other platforms in the Gulf of Mexico from 09 December 1981 to 26 August 1985. Data were submitted by the Texas A&M University with support from the Brine Disposal project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8400101_Not Applicable Cloud amount/frequency, NITRATE and other data from ACANIA in the NE Pacific from 1982-03-08 to 1982-08-14 (NCEI Accession 8400101) NOAA_NCEI STAC Catalog 1982-03-08 1982-08-14 -127.3, 36, -123, 40.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385609-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8400119_Not Applicable Chemical, benthic organisms, and other data from moored current meter casts and other instruments in the Gulf of Mexico during the Gulf of Mexico North Continental Slope Study (MNCSS) project, 1983-11-11 to 1984-11-13 (NCEI Accession 8400119) NOAA_NCEI STAC Catalog 1983-11-11 1984-11-13 -90.3, 26.9, -89.5, 28.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089385714-NOAA_NCEI.umm_json Chemical, benthic organisms, and other data were collected using moored current meter casts and other instruments in the Gulf of Mexico from November 11, 1983 to November 13, 1984. Data were submitted by Alaska Research Assosicates, INC. as part of the Gulf of Mexico North Continental Slope Study (MNCSS) project. Data has been been processed by NODC to the NODC standard F004- Water Physics and Chemistry, F123 Fish Shellfish Resource, and F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F004 format is used for data from measurements and analyses of physical and chemical characteristics of the water column. Among chemical parameters that may be recorded are salinity, PH, and concentration of oxygen, ammonia, nitrate, phosphate, chlorophyll, and suspended solids. Physical parameters that may be recorded include temperature, density (sigma-t), transmissivity, and current velocity (east-west and north-south components). Cruise and station information, including environmental conditions of the study site at the time of observations, is also included. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comments. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8400121_Not Applicable Ancillary hydrographic data from the Coastal Ocean Dynamics Experiments from 1981-04-20 to 1982-08-19 (NCEI Accession 8400121) NOAA_NCEI STAC Catalog 1981-04-20 1982-08-19 -126.7, 38, -123.2, 39.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385734-NOAA_NCEI.umm_json Temperature profile and pressure data were collected using CTD from the R.V. WECOMA in the coastal waters of California from 20 April 1981 to 19 August 1982. Data were submitted by Oregon State University with support from the Coastal Ocean Dynamics Experiments. proprietary -gov.noaa.nodc:8400151_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1984-05-07 to 1984-06-09 (NCEI Accession 8400151) NOAA_NCEI STAC Catalog 1984-05-07 1984-06-09 -150.3, 58, -147.8, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089385819-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8400184_Not Applicable BATHYTHERMOGRAPH (XBT) from multiple German platforms from 19730101 to 19831231 (NCEI Accession 8400184) NOAA_NCEI STAC Catalog 1973-01-01 1983-12-31 -62.116667, -27.7, 19.983333, 68.45 https://cmr.earthdata.nasa.gov/search/concepts/C2089385948-NOAA_NCEI.umm_json Ocean Station Data and Bathythermograph (XBT) data were collected from Helgoland Biological Stations using multiple German ships (ANTON DOHRN, GAUSS, FRIEDRICH HEINCKE, WALTHER HERWIG, METEOR, POSEIDON and SOLEA). The data was collected between January 1, 1973 to December 31, 1983 by Helgoland Biological Stations, Deutsches Hydrographische Institut, and Deutsches Ozeanographisches Datenzentrum. proprietary -gov.noaa.nodc:8400196_Not Applicable Bathythermograph (XBT) data from US Navy Ships of Opportunity in the Northeast Atlantic Ocean: 19800530 to 19800611 (NCEI Accession 8400196) NOAA_NCEI STAC Catalog 1980-05-30 1980-06-11 -14.1, 35.9, -7.6, 45.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386021-NOAA_NCEI.umm_json Temperature profile data were collected using XBT casts in the Northeast Atlantic Ocean from 30 May 1980 to 11 June 1980. Data were collected by the US Navy; Ships of Opportunity with support from the Gulf of Mexico NOAA/NMFS Ships of Opportunity (SOOP) project. proprietary -gov.noaa.nodc:8400200_Not Applicable Benthic organisms and phytoplankton collected using net and sediment sampler casts from the CAPT. BRADY J and other platforms in Gulf of Mexico from 1982-10-10 to 1983-11-30 (NCEI Accession 8400200) NOAA_NCEI STAC Catalog 1982-10-10 1983-11-30 -95.3, 28.7, -93.3, 30 https://cmr.earthdata.nasa.gov/search/concepts/C2089386032-NOAA_NCEI.umm_json Benthic organisms and phytoplankton were collected using sediment sampler and net casts in the Gulf of Mexico. Data were submitted by Texas A&M University with support from the Brine Disposal project. Data were collected from the CAPT. BRADY J and other platforms from 10 October 1982 to 30 November 1983. Data has been been processed by NODC to the NODC standard F028- Phytoplankton F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F028 format is used for data from the sampling and analysis of marine phytoplankton. Information on phytoplankton abundance, distribution, and productivity derived from these data support studies of marine populations and ecosystems. Data reported may include: position, date, and time of sampling; bottom depth and sampling depths; volume of water filtered; and concentration of cells, carbon concentration, wet and dry weight, and counts for each species reported. Comments may be relayed in a text record. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8400235_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX, REDOUBT and AMAK from 1982-12-01 to 1984-07-12 (NCEI Accession 8400235) NOAA_NCEI STAC Catalog 1982-12-01 1984-07-12 -172.9, 55, -130.4, 65.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386195-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8400238_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1984-05-17 to 1984-09-27 (NCEI Accession 8400238) NOAA_NCEI STAC Catalog 1984-05-17 1984-09-27 -167.1, 53.6, -147.8, 60.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386224-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500003_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1983-10-14 to 1984-11-03 (NCEI Accession 8500003) NOAA_NCEI STAC Catalog 1983-10-14 1984-11-03 -149.7, 55, -130.4, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089386294-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500006_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship FERREL from 1982-04-13 to 1982-11-02 (NCEI Accession 8500006) NOAA_NCEI STAC Catalog 1982-04-13 1982-11-02 -77, 36.9, -75, 38.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386311-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500025_Not Applicable Cloud amount/frequency, NITRATE and other data from ACONA from 1978-07-14 to 1979-06-12 (NCEI Accession 8500025) NOAA_NCEI STAC Catalog 1978-07-14 1979-06-12 -166.6, 53.8, -146.2, 61.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386413-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500048_Not Applicable Cloud amount/frequency, NITRATE and other data from ASTERIAS in the North American Coastline-North from 1982-07-29 to 1983-05-06 (NCEI Accession 8500048) NOAA_NCEI STAC Catalog 1982-07-29 1983-05-06 -71.1, 41.3, -70.4, 41.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386514-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500058_Not Applicable BAROMETRIC PRESSURE and Other Data from VENTURE and Other Platforms from 1980-10-27 to 1982-02-15 (NCEI Accession 8500058) NOAA_NCEI STAC Catalog 1980-10-27 1982-02-15 -84.3, 24.8, -82.2, 26.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386560-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500067_Not Applicable Cloud amount/frequency, NITRATE and other data from AIRCRAFT, USS DE STEIGUER (AGOR 12) and ACANIA in the NE Pacific from 1983-02-10 to 1984-08-10 (NCEI Accession 8500067) NOAA_NCEI STAC Catalog 1983-02-10 1984-08-10 -128.1, 34.5, -121.9, 42.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386619-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500069_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX from 1985-03-26 to 1985-03-28 (NCEI Accession 8500069) NOAA_NCEI STAC Catalog 1985-03-26 1985-03-28 -149.7, 59.5, -148.8, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089386628-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500070_Not Applicable BIRDS from ALPHA HELIX from 1982-07-13 to 1983-08-15 (NCEI Accession 8500070) NOAA_NCEI STAC Catalog 1982-07-13 1983-08-15 -177, 53.2, -166.1, 63.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386642-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500125_Not Applicable Benthic organism collected using sediment sampler, BT, and bottle casts from the EASTWARD and other platforms in Georges' Bank from 1981-07-10 to 1983-06-08 (NCEI Accession 8500125) NOAA_NCEI STAC Catalog 1981-07-10 1984-06-08 -71, 40.4, -66.8, 42 https://cmr.earthdata.nasa.gov/search/concepts/C2089386960-NOAA_NCEI.umm_json Benthic organism were collected using sediment sampler, BT, and bottle casts from the EASTWARD and other platforms in the Georges' Bank from 10 July 1981 to 08 June 1984. Data were submitted by the Battelle Marine Research Laboratory in New England with support from Ocean Continental Shelf - Georges' Bank project. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8500126_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship FERREL and BLISH from 1983-06-21 to 1983-11-19 (NCEI Accession 8500126) NOAA_NCEI STAC Catalog 1983-06-21 1983-11-19 -76.7, 36.5, -75.5, 39.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089386969-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500127_Not Applicable Cloud amount/frequency, NITRATE and other data from ARGO, UNDAUNTED and other platforms from 1967-01-25 to 1968-04-18 (NCEI Accession 8500127) NOAA_NCEI STAC Catalog 1967-01-25 1968-04-18 -126.2, -20.1, -75.7, 28.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089386979-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500176_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea - NW Coast of Alaska from 1985-07-04 to 1985-07-23 (NCEI Accession 8500176) NOAA_NCEI STAC Catalog 1985-07-04 1985-07-23 -172.3, 61, -165.4, 68.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089387162-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500179_Not Applicable Benthic organism data from the South Texas Outer Continental Shelf (STOCS) and the Mississippi, Alabama, and Florida (MAFLA) Outer Continental Shelf studies from 1974-05-16 to 1978-02-20 (NCEI Accession 8500179) NOAA_NCEI STAC Catalog 1974-05-16 1978-02-20 -97.3, 25.6, -82.2, 30.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387195-NOAA_NCEI.umm_json Benthic organisms data were collected using sediment sampler and net casts BELLOWS and other platforms in the Gulf of Mexico from 16 May 1974 to 20 February 1978. Data were collected and submitted by Dr. William Sackett of Texas University with support from the Outer Continental Shelf project. The data are from field sampling or surveys of bottom dwelling marine organisms in F132 format. The data provide information on species counts and species wet weight from samples collected by point sampling (grab or core) or by tow (dredge or trawl). Three operational kinds of data include: Epifauna, Infauna, and Meiofauna benthic organisms data that roughly correspond to the different sampling methods and collecting institutions that were part of this study. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Number of individual organisms or total weight of all organisms in the sample is reported for each taxonomic category identified by the researchers (often to Genus and Species taxonomic resolution). proprietary -gov.noaa.nodc:8500219_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship McARTHUR and ACANIA in the NE Pacific and Coastal Waters of California from 1985-05-20 to 1985-06-24 (NCEI Accession 8500219) NOAA_NCEI STAC Catalog 1985-05-20 1985-06-24 -130.8, 36.8, -122.1, 48.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089387365-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500224_Not Applicable Cloud amount/frequency, NITRATE and other data from ATLANTIS II in the North Atlantic Ocean from 1981-08-12 to 1981-09-06 (NCEI Accession 8500224) NOAA_NCEI STAC Catalog 1981-08-12 1981-09-06 -80.1, 24.4, -13.3, 27.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387401-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500250_Not Applicable Cloud amount/frequency, NITRATE and other data from AIRCRAFT, USS DE STEIGUER (AGOR 12) and other platforms in the NE Pacific from 1984-10-09 to 1985-09-05 (NCEI Accession 8500250) NOAA_NCEI STAC Catalog 1984-10-09 1985-09-05 -130.5, 36, -122.1, 48.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387535-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500253_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1985-08-29 to 1985-10-04 (NCEI Accession 8500253) NOAA_NCEI STAC Catalog 1985-08-29 1985-10-04 -173.5, 62.1, -163.7, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2089387566-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500266_Not Applicable Cloud amount/frequency, NITRATE and other data from OCEANUS in the North American Coastline-North from 1983-10-19 to 1983-10-24 (NCEI Accession 8500266) NOAA_NCEI STAC Catalog 1983-10-19 1983-10-24 -71, 39.7, -67.7, 40.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387611-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8500277_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1985-07-26 to 1985-08-22 (NCEI Accession 8500277) NOAA_NCEI STAC Catalog 1985-07-26 1985-08-22 -174.1, 60.2, -166.5, 65.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387663-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600027_Not Applicable Benthic organisms collected using net casts and other instruments from the R/V VENTURE in the Gulf of Mexico from 1980-10-27 and 29 April 1984 (NCEI Accession 8600027) NOAA_NCEI STAC Catalog 1980-10-27 1984-04-29 -84.3, 24.8, -82.2, 26.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387889-NOAA_NCEI.umm_json Benthic organisms were collected using net, sediment sampler casts, and other instruments from the R/V VENTURE in the Gulf of Mexico from 27 October 1980 to 29 April 1984. Data were submitted by the Woodward - Cycle Consultant with support from the S.W. Florida Shelf project. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:8600033_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship McARTHUR and ONAR in the Puget Sound from 1979-08-07 to 1985-07-02 (NCEI Accession 8600033) NOAA_NCEI STAC Catalog 1979-08-07 1985-07-02 -123, 47.2, -122.3, 48.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387990-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600044_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship McARTHUR in the Puget Sound from 1983-11-30 to 1984-04-05 (NCEI Accession 8600044) NOAA_NCEI STAC Catalog 1983-11-30 1984-04-05 -123, 47.1, -122.3, 48.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089388251-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600047_Not Applicable Cloud amount/frequency, NITRATE and other data from OCEANUS in the NW Atlantic from 1982-11-13 to 1982-11-15 (NCEI Accession 8600047) NOAA_NCEI STAC Catalog 1982-11-13 1982-11-15 -68.6, 40, -67.4, 40.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089388292-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600051_Not Applicable Chemical and other data collected using bottle casts from the KNORR as part of the International Decade of Ocean Exploration / from Geochemical Ocean Section Study (IDOE/GEOSECS) project, from 1972-07-12 to 1978-04-24 (NCEI Accession 8600051) NOAA_NCEI STAC Catalog 1972-07-21 1978-04-24 -80, -80, 120, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2089388304-NOAA_NCEI.umm_json This data file contains trace chemicals reported in a format similar to SD2. These data were collected by Scripps Institute of Oceanography (SIO) from July 12, 1972 to April 24, 1978 in the Atlantic, Pacific and Indian Oceans as part of the International Decade of Ocean Exploration / Geochemical Ocean Section Study (IDOE/GEOSECS) Program. The data parameters measured were: barium, total organic carbon, deuterium, radium-226, lead-210, polonium, tritium, helium, neon, strontium-90, and cesium-137. proprietary -gov.noaa.nodc:8600114_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1974-05-29 to 1974-06-05 (NCEI Accession 8600114) NOAA_NCEI STAC Catalog 1974-05-29 1974-06-05 -137.5, 30.5, -117.5, 32.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089388619-NOAA_NCEI.umm_json High resolution CTD data was collected from NOAA Ship DAVID STARR JORDAN cruise 86 and other platforms. The data was collected by National Marine Fisheries Service, La Jolla from May 29 to June 5, 1974 from NE Pacific (limit-180). The data is available in F022 file format of NODC. More information regarding this file format can be obtained from the URL: http://www.nodc.noaa.gov/General/NODC-Archive/f022.html proprietary -gov.noaa.nodc:8600134_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE from 1984-06-17 to 1985-07-14 (NCEI Accession 8600134) NOAA_NCEI STAC Catalog 1984-06-17 1985-07-14 -70.3, 41.7, -65.4, 44.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089388698-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600156_Not Applicable Cloud amount/frequency, NITRATE and other data from MELVILLE and THOMAS WASHINGTON in the Philippine Sea and SE Atlantic from 1976-05-06 to 1978-12-18 (NCEI Accession 8600156) NOAA_NCEI STAC Catalog 1976-05-06 1978-12-18 -60.8, -52, 148.9, 32.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388834-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600163_Not Applicable Cloud amount/frequency, NITRATE and other data from MATSUSHIMA, MITO MARU and other platforms in the NW Pacific from 1973-01-05 to 1985-06-06 (NCEI Accession 8600163) NOAA_NCEI STAC Catalog 1973-01-05 1985-06-06 120.8, -1.4, 161.4, 45.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089388857-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600200_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1984-10-26 to 1986-03-18 (NCEI Accession 8600200) NOAA_NCEI STAC Catalog 1984-10-26 1986-03-18 -150.2, 59.1, -148.6, 60.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089384906-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600204_Not Applicable Cloud amount/frequency, NITRATE and other data from METEOR in the Southern Oceans from 1980-11-19 to 1981-03-07 (NCEI Accession 8600204) NOAA_NCEI STAC Catalog 1980-11-19 1981-03-07 45, -66.2, 64.2, -48.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089384915-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600219_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1986-05-28 to 1986-06-04 (NCEI Accession 8600219) NOAA_NCEI STAC Catalog 1986-05-28 1986-06-04 -169.9, 62.6, -165.4, 65 https://cmr.earthdata.nasa.gov/search/concepts/C2089385010-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600246_Not Applicable BENTHIC SPECIES and Other Data from UNKNOWN and Other Platforms From NW Atlantic (limit-40 W) from 1983-11-10 to 1986-07-30 (NCEI Accession 8600246) NOAA_NCEI STAC Catalog 1983-11-10 1986-07-30 -80.1, 19.1, -71.4, 41.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089385693-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600248_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1986-05-11 to 1986-05-17 (NCEI Accession 8600248) NOAA_NCEI STAC Catalog 1986-05-11 1986-05-17 -150.2, 56.1, -145.7, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089385710-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600312_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1986-07-04 to 1986-07-25 (NCEI Accession 8600312) NOAA_NCEI STAC Catalog 1986-07-04 1986-07-25 -172.3, 62.1, -162, 69.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089386073-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600335_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea - NW Coast of Alaska from 1986-08-25 to 1986-09-08 (NCEI Accession 8600335) NOAA_NCEI STAC Catalog 1986-08-25 1986-09-08 -172.3, 62.2, -164, 68.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386237-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8600343_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Bering Sea and Others from 1986-09-17 to 1986-09-25 (NCEI Accession 8600343) NOAA_NCEI STAC Catalog 1986-09-17 1986-09-25 -172.855, 64.846667, -168.666667, 66.496667 https://cmr.earthdata.nasa.gov/search/concepts/C2089386264-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700011_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1986-11-05 to 1986-11-14 (NCEI Accession 8700011) NOAA_NCEI STAC Catalog 1986-11-05 1986-11-14 -155.7, 54.9, -148.2, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089386696-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700017_Not Applicable Cloud amount/frequency, NITRATE and other data from AIRCRAFT, USS DE STEIGUER (AGOR 12) and other platforms in the North Pacific Ocean from 1985-10-31 to 1986-08-05 (NCEI Accession 8700017) NOAA_NCEI STAC Catalog 1985-10-31 1986-08-05 -127.5, 34.9, -122, 40.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386706-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700050_Not Applicable Cloud amount/frequency, NITRATE and other data from MELVILLE in the SW Atlantic from 1986-01-24 to 1986-02-19 (NCEI Accession 8700050) NOAA_NCEI STAC Catalog 1986-01-24 1986-02-19 -57.7, -52.8, -24.7, -47.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386954-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700052_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1986-12-15 to 1986-12-19 (NCEI Accession 8700052) NOAA_NCEI STAC Catalog 1986-12-15 1986-12-19 -149.5, 59.7, -146.8, 61 https://cmr.earthdata.nasa.gov/search/concepts/C2089386970-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700084_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea - Coastal Waters of Western Alaska from 1986-08-03 to 1986-08-22 (NCEI Accession 8700084) NOAA_NCEI STAC Catalog 1986-08-03 1986-08-22 -174.1, 60.2, -168, 65.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387090-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700115_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1987-02-17 to 1987-03-03 (NCEI Accession 8700115) NOAA_NCEI STAC Catalog 1987-02-17 1987-03-03 -155.7, 54.4, -147.9, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089387232-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700145_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1987-03-17 to 1987-03-18 (NCEI Accession 8700145) NOAA_NCEI STAC Catalog 1987-03-17 1987-03-18 -149.7, 59.8, -149.4, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089387327-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700198_Not Applicable Cloud amount/frequency, NITRATE and other data from KNORR and ENDEAVOR from 1985-03-19 to 1985-11-29 (NCEI Accession 8700198) NOAA_NCEI STAC Catalog 1985-03-19 1985-11-29 -59.4, 9.7, -53.6, 14.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089387648-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700199_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR from 1986-10-04 to 1986-10-13 (NCEI Accession 8700199) NOAA_NCEI STAC Catalog 1986-10-04 1986-10-13 -29.9, 21.9, -21.8, 32.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387659-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8700332_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from FIXED PLATFORM and Other Platforms From Coastal Waters of California from 1975-07-01 to 1978-09-30 (NCEI Accession 8700332) NOAA_NCEI STAC Catalog 1975-07-01 1978-09-30 -130, 30, -110, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089388500-NOAA_NCEI.umm_json These data are part of the Southern California OCS Baseline Study funded by BLM and submitted by Science Applications, Inc. Coastal areas along southern California were sampled. Following is a list of purpose for which the study was conducted, the period when the data was collected and the type of data collected. Sampling was done from July 1, 1975 to November 6, 1977 to obtain depth, temperature and salinity profiles. During the same time period data was collected to measure the amounts of particulate organic carbon (poc), dissolved organic carbon (doc), and ATP. Analysis was done for intertidal hydrocarbon (hc) concentrations from July 1, 1975 to June 30, 1978. Fractions analyzed include aliphatic and aromatics, pristane and phytane, iso-n and branched hydrocarbons, odd/even preference, and the hexane, benzene and methane fractions. Analysis was done for benthic hydrocarbon (hc) concentrations from July 1, 1975 to November 6, 1977. Fractions analyzed include aliphatic and aromatics, pristane and phytane, iso-n and branched hydrocarbons, odd/even preference, and the hexane, benzene and methane fractions. Sampling was done to assess the trace metal concentrations from July 1, 1975 to November 6, 1978. Benthic fauna, sediments and the water column were analyzed for Ba, Cd, Cr, Cu, Fe, Ni, Pb, V, Zn and Al concentrations. Sampling was done to assess the trace metal concentrations from July 1, 1975 to November 6, 1978. Intertidal rocky and sandy fauna, and sediments were analyzed for Ba, Cd, Cr, Cu, Fe, Ni, Pb, V, Zn and Al concentrations. Benthic coastal sediments along southern California were sampled from July 1, 1975 to November 6, 1977. The analysis includes sediment age, grain size, total organic carbon (toc), total inorganic carbon (tic), total carbon (tc), calcium carbonate content and mineral composition, as well as a description of the field conditions during sampling. Identical analysis was conducted on samples collected during July 1, 1975 to June 30, 1978. Intertidal coastal sediments along southern California were sampled from July 1, 1975 to June 30, 1978. The analysis includes sediment age, grain size, total organic carbon (toc), total inorganic carbon (tic), total carbon (tc), calcium carbonate content and mineral composition, as well as a description of the field conditions during sampling. Coastal areas along southern california were sampled from July 1, 1976 to June 30, 1978 and the composition of the benthic microfauna and benthic macrofauna was analyzed. Coastal areas along southern California were sampled from July 1, 1975 to June 30, 1978. Data includes files describing the biotic/abiotic mussel community and a species dictionary as well as a description of the field conditions. Rocky coastal beaches along southern California were sampled from July 1, 1975 to June 30, 1978 and the composition of the intertidal rocky fauna was analyzed. Included in these data is a file on rocky intertidal fauna succession and a description of the field conditions. Sandy coastal beaches along southern california were sampled from uly 1, 1975 to June 30, 1978 and the composition of the sandy intertidal fauna was analyzed. proprietary -gov.noaa.nodc:8700358_Not Applicable BENTHIC SPECIES and Other Data from FIXED STATIONS From North Atlantic Ocean and Others from 1983-05-01 to 1986-07-31 (NCEI Accession 8700358) NOAA_NCEI STAC Catalog 1983-05-01 1986-07-31 -77.4, 32, 56, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2089388624-NOAA_NCEI.umm_json The three files contain trace metal data from North, Central and South Atlantic observed in bottom sediment samples along the East Coast Continental Slope and Rise region. Samples were collected from a large number of surveys from May 1983 to July 1986. These data were collected by National Marine Fisheries Service, Woods Hole for the US East Coast Continental Rise/Slope region. The documentation includes the field variables (including region, box core number, location, and type of metal recorded) and a listing of cruises. proprietary -gov.noaa.nodc:8800093_Not Applicable Cloud amount/frequency, NITRATE and other data from OCEANUS in the SE Atlantic from 1983-03-11 to 1983-04-01 (NCEI Accession 8800093) NOAA_NCEI STAC Catalog 1983-03-11 1983-04-01 -37, -18.7, 13, -11.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089385615-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800096_Not Applicable Cloud amount/frequency, NITRATE and other data from CAPE HATTERAS from 1984-04-14 to 1988-07-03 (NCEI Accession 8800096) NOAA_NCEI STAC Catalog 1984-04-14 1988-07-03 -81.7, 15.2, -62, 44.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385641-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800101_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1988-03-04 to 1988-03-05 (NCEI Accession 8800101) NOAA_NCEI STAC Catalog 1988-03-04 1988-03-05 -149.7, 59.8, -149.6, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089385668-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800103_Not Applicable Cloud amount/frequency, NITRATE and other data from HELICOPTER in the Chukchi Sea from 1986-10-03 to 1987-04-28 (NCEI Accession 8800103) NOAA_NCEI STAC Catalog 1986-10-03 1987-04-28 -156.1, 69.8, -140.9, 72.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089385688-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800123_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1988-04-04 to 1988-04-18 (NCEI Accession 8800123) NOAA_NCEI STAC Catalog 1988-04-04 1988-04-18 -159.2, 51.6, -144.9, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089385833-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800135_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DELAWARE II in the NW Atlantic and North Atlantic Ocean from 1986-11-05 to 1988-01-30 (NCEI Accession 8800135) NOAA_NCEI STAC Catalog 1986-11-05 1988-01-30 -75.8, 35.2, -65.8, 44.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089385921-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800192_Not Applicable Benthic organisms and marine toxic substances and pollutants data collected using net casts and other instruments from the GYRE and other platforms in NW Atlantic Ocean from 1983-11-11 to 1986-07-30 (NCEI Accession 8800192) NOAA_NCEI STAC Catalog 1983-11-11 1986-07-30 -77.2, 31.6, -66.2, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2089386138-NOAA_NCEI.umm_json Benthic organisms and marine toxic substances and pollutants were collected using net casts, sediment sampler, and other instruments from the GYRE and other platforms in NW Atlantic Ocean. Data were collected from 11 November 1983 to 30 July 1986. Data were submitted by Battelle Marine Research Laboratory in New England with support from the New England Shelf and Slope Program. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms and F144- Marine Toxic Substances and Pollutants formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments. proprietary -gov.noaa.nodc:8800194_Not Applicable Cloud amount/frequency, NITRATE and other data from EVERGREEN in the NW Atlantic from 1987-05-05 to 1987-05-20 (NCEI Accession 8800194) NOAA_NCEI STAC Catalog 1987-05-05 1987-05-20 -49.2, 43, -47.1, 44.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386166-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800210_Not Applicable Cloud amount/frequency, NITRATE and other data from KNORR and OCEANUS in the NW Atlantic from 1977-06-11 to 1977-08-21 (NCEI Accession 8800210) NOAA_NCEI STAC Catalog 1977-06-11 1977-08-21 -76.7, 26.1, -40.3, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386244-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800218_Not Applicable Cloud amount/frequency, NITRATE and other data from OCEANUS in the NW Atlantic from 1978-09-28 to 1979-07-31 (NCEI Accession 8800218) NOAA_NCEI STAC Catalog 1978-09-28 1979-07-31 -69.8, 30.5, -11.5, 43.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386262-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800236_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms from 1987-07-21 to 1988-05-15 (NCEI Accession 8800236) NOAA_NCEI STAC Catalog 1987-07-21 1988-05-15 -173.3675, 0, -145.003056, 69.566667 https://cmr.earthdata.nasa.gov/search/concepts/C2089386331-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8800279_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1988-09-14 to 1988-09-29 (NCEI Accession 8800279) NOAA_NCEI STAC Catalog 1988-09-14 1988-09-29 -159.2, 50, -144.9, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089386512-NOAA_NCEI.umm_json The University of Alaska, Institute of Marine Science is responsible for this data collected aboard the R/V Alpha Helix on cruise number HX118 between September 14, 1988 to September 29, 1988 by Dr. T.C. Royer of the Institute of Marine Science. There was a total of 77 stations in the Gulf of Alaska. The station numbers are: 1-77. Field correction for this cruise was taken from Alpha Helix cruise HX118. Field correction for the STD data was derived by comparing single bottle samples to recorded values from the STD sensors. The field correction is based on 9 samples from a total of 11 stations. The CTD data is stored in F022 format in the current NODC storage system. proprietary -gov.noaa.nodc:8800308_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Maine from 1981-06-01 to 1983-06-15 (NCEI Accession 8800308) NOAA_NCEI STAC Catalog 1981-06-01 1983-06-15 -70.2, 41, -66.3, 44.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386609-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900002_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1988-11-29 to 1988-12-12 (NCEI Accession 8900002) NOAA_NCEI STAC Catalog 1988-11-29 1988-12-12 -155.7, 54.5, -144.8, 60.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386693-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900036_Not Applicable BAROMETRIC PRESSURE and Other Data from CHARLES DARWIN and Other Platforms from 1977-05-03 to 1986-10-08 (NCEI Accession 8900036) NOAA_NCEI STAC Catalog 1977-05-03 1986-10-08 -27.2, 18, -3.2, 54.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386842-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900105_Not Applicable Cloud amount/frequency, NITRATE and other data from MELVILLE in the SW Atlantic from 1981-01-24 to 1981-03-04 (NCEI Accession 8900105) NOAA_NCEI STAC Catalog 1981-01-24 1981-03-04 -55, -61.1, -33.5, -54.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387022-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900114_Not Applicable Cloud amount/frequency, NITRATE and other data from KNORR in the NE Atlantic and NW Atlantic from 1982-12-02 to 1983-02-18 (NCEI Accession 8900114) NOAA_NCEI STAC Catalog 1982-12-02 1983-02-18 -66.1, -8.7, -17.4, 27.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387087-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900116_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1988-06-05 to 1988-10-17 (NCEI Accession 8900116) NOAA_NCEI STAC Catalog 1988-06-05 1988-10-17 -169.9, 59.8, -149.4, 70 https://cmr.earthdata.nasa.gov/search/concepts/C2089387097-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900139_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1989-04-06 to 1989-04-11 (NCEI Accession 8900139) NOAA_NCEI STAC Catalog 1989-04-06 1989-04-11 -149.5, 59.5, -146, 61.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387220-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900192_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Prince William Sound (Gulf of Alaska) from 1989-05-05 to 1989-05-11 (NCEI Accession 8900192) NOAA_NCEI STAC Catalog 1989-05-05 1989-05-11 -159.149722, 4.266667, -144.989722, 61.516667 https://cmr.earthdata.nasa.gov/search/concepts/C2089387509-NOAA_NCEI.umm_json The University of Alaska, Institute of Marine Science is responsible for this data collected aboard the R/V Alpha Helix on cruise number HX123 between May 5, 1989 to May 11, 1989 by Dr. R.T. Cooney of the Institute of Marine Science. There was a total of 51 stations in the Prince William sound area. The station numbers are: 2-52. These data were collected for the Exxon Oil Spill Monitoring Program. Funding was provided by the State of Alaska. This data was submitted to NODC earlier. This data set represents a resubmission due to fact that the earlier version had the wrong offsets applied. Field correction for the STD data was derived by comparing single bottle samples to recorded values from the STD sensors. The field correction is based on 15 samples from a total of 16 stations. The field corrections are: 3000 m CTD temperature mean (Nansen-STD) is 0.00536 and 3000 m CTD salinity mean (Nansen-STD) is -0.04131. proprietary -gov.noaa.nodc:8900206_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NW Atlantic from 1985-04-11 to 1985-04-28 (NCEI Accession 8900206) NOAA_NCEI STAC Catalog 1985-04-11 1985-04-28 -65.7, 16.5, -62.9, 42.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387570-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900235_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1989-06-20 to 1989-08-16 (NCEI Accession 8900235) NOAA_NCEI STAC Catalog 1989-06-20 1989-08-16 -89.4, 28, -87.6, 29.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387719-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900240_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1989-07-09 to 1989-07-30 (NCEI Accession 8900240) NOAA_NCEI STAC Catalog 1989-07-09 1989-07-30 -172.2, 54, -163.4, 68.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387737-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900269_Not Applicable Cloud amount/frequency, NITRATE and other data from KNORR in the Black Sea from 1988-04-21 to 1988-07-27 (NCEI Accession 8900269) NOAA_NCEI STAC Catalog 1988-04-21 1988-07-27 28.9, 40.6, 41.4, 43.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387892-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900273_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship MT. MITCHELL in the NW Atlantic from 1989-02-15 to 1989-02-22 (NCEI Accession 8900273) NOAA_NCEI STAC Catalog 1989-02-15 1989-02-22 -74.7, 36.7, -74.1, 37 https://cmr.earthdata.nasa.gov/search/concepts/C2089387902-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900277_Not Applicable Cloud amount/frequency, NITRATE and other data from FIXED PLATFORM, FIVE FATHOM BANK L/S and DAVIDSON in the Puget Sound from 1985-03-25 to 1987-09-10 (NCEI Accession 8900277) NOAA_NCEI STAC Catalog 1985-03-25 1987-09-10 -122.8, 47.2, -122.3, 48.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387912-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900284_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1989-09-02 to 1989-09-23 (NCEI Accession 8900284) NOAA_NCEI STAC Catalog 1989-09-02 1989-09-23 -172.2, 54.1, -166.3, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388019-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:8900299_Not Applicable Benthic organisms data collected using sediment sampler casts from NOAA Ship OCEANOGRAPHER in the Chukchi Sea from 1986-09-06 to 1987-10-05 (NCEI Accession 8900299) NOAA_NCEI STAC Catalog 1986-09-06 1987-10-05 -169, 62.4, -162, 68.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089388275-NOAA_NCEI.umm_json Benthic organisms data were collected using sediment sampler casts from NOAA Ship OCEANOGRAPHER in the Chukchi Sea from 06 September 1986 to 05 October 1987. Data were submitted by the University of Alaska - Fairbanks, Institute of Marine Science. Data has been been processed by NODC to the NODC standard F132- Benthic Organisms formats. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F132 format contains data from field sampling or surveys of bottom dwelling marine organisms. The data provide information on species abundance, distribution, and biomass; they may have been collected by point sampling (grab or core), by tow (dredge, trawl or net), by photographic surveys, or by other methods. Cruise information such as vessel, start and end dates, investigator, and institution/agency; station numbers, positions and times; and equipment and methods are reported for each survey. Environmental data reported at each sampling site may include meteorological and sea surface conditions; surface and bottom temperature, salinity and dissolved oxygen; and sediment characteristics. Number of individual organisms and total weight of organisms is reported for each species. A text record is available for comments. proprietary -gov.noaa.nodc:9000025_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1989-11-11 to 1989-11-18 (NCEI Accession 9000025) NOAA_NCEI STAC Catalog 1989-11-11 1989-11-18 -97.1, 25.3, -93.6, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388382-NOAA_NCEI.umm_json The data were collected by Texas A&M University, College Station under a program sponsored by grant MMS # 14-35-0001-30501 to Dr. Douglas C. Biggs. The physical profile data were collected in Gulf of Mexico from Ship Gyre between November 11-18, 1989. Originator's data were submitted by Dr. David Murphy in tapes that have been processed by NODC. The data is available in F022-CTD Hi resolution, C116 Bathythermograph XBT and C100 Ocean-Station Data format. proprietary -gov.noaa.nodc:9000038_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1989-08-19 to 1989-11-10 (NCEI Accession 9000038) NOAA_NCEI STAC Catalog 1989-08-19 1989-11-10 -89.6, 27.9, -87.8, 29.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388443-NOAA_NCEI.umm_json The high resolution Conductivity, Temperature and Depth (CTD) data were collected by NOAA Ship WHITING from NW Atlantic (limit-40 W). The data was collected over a three month period spanning from August 19, 1989 to November 10, 1989 by National Ocean Service (NOS) Rockville, MD. proprietary -gov.noaa.nodc:9000045_Not Applicable Cloud amount/frequency, NITRATE and other data from CHARLES DARWIN in the Arabian Sea and Indian Ocean from 1986-12-20 to 1987-08-14 (NCEI Accession 9000045) NOAA_NCEI STAC Catalog 1986-12-20 1987-08-14 40, -4.1, 64.7, 23.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089388475-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) data with oxygen was collected off of Indian Ocean and Arabian Sea using Charles Darwin ship as part of Monsoon And Sea-Air Interaction (MASAI) project conducted between December 1986 and August 1987. The data was submitted by Dr. Donald B. Olson of Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami, FL. The originator's data has been processed by NODC and is available in C100 Ocean Station Data format and F-022 hi resolution CTD data. proprietary -gov.noaa.nodc:9000080_Not Applicable Cloud amount/frequency, NITRATE and other data from A. V. HUMBOLDT from 1971-04-13 to 1971-06-12 (NCEI Accession 9000080) NOAA_NCEI STAC Catalog 1971-04-13 1971-06-12 -20, 11, -15.2, 26.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089388593-NOAA_NCEI.umm_json The water depth and other data available in this accession was scanned from a publication. The data was submitted by Deutsche Akademe der Wissenschaften zu Berlin. The data was collected from ship A. V. Humboldt between April 13 to June 12, 1971. proprietary -gov.noaa.nodc:9000100_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DELAWARE II, NOAA Ship ALBATROSS IV and other platforms in the NW Atlantic from 1986-06-19 to 1989-12-15 (NCEI Accession 9000100) NOAA_NCEI STAC Catalog 1986-06-19 1989-12-15 -74.1, 36.7, -65.4, 43.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089388676-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD); and other data were collected from eleven cruises conducted using four different ships from NW Atlantic (limit-40 W). The data was collected by National Marine Fisheries Service, Woods Hole, MA over a three year period spanning from June 19, 1986 to December 15, 1989. Originator's data submitted in a tape by Dr. David Mountain has been processed by NODC and is currently available in F022 file format of NODC. proprietary -gov.noaa.nodc:9000114_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1990-02-27 to 1990-04-06 (NCEI Accession 9000114) NOAA_NCEI STAC Catalog 1990-02-27 1990-04-06 -74.7, 36.3, -73, 37.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388708-NOAA_NCEI.umm_json The data in this accession was collected using a SEACAT Conductivity and Temperature recorder to measure Conductivity, Temperature and Depth (CTD) using NOAA Ship Whiting to collect data from NW Atlantic (limit-40 W). The data was collected over two month period spanning from February 27, 1990 to April 6, 1990 by National Ocean Service, Norfolk, VA. Originator's data submitted in a diskette has been processed and is available in F022-CTD Hi resolution file format of NODC. proprietary -gov.noaa.nodc:9000119_Not Applicable Cloud amount/frequency, NITRATE and other data from CHARLES DARWIN from 1987-11-13 to 1987-12-16 (NCEI Accession 9000119) NOAA_NCEI STAC Catalog 1987-11-13 1987-12-16 30.3, -34.2, 114.8, -28 https://cmr.earthdata.nasa.gov/search/concepts/C2089388728-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected. R/V Charles Darwin was used to collect data. The data consisting of 111 casts was collected over one month period spanning from November 13, 1987 to December 16, 1987. Data was submitted by Dr. John Toole of Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. proprietary -gov.noaa.nodc:9000120_Not Applicable Cloud amount/frequency, NITRATE and other data from OCEANUS in the NW Atlantic from 1983-06-15 to 1983-07-11 (NCEI Accession 9000120) NOAA_NCEI STAC Catalog 1983-06-15 1983-07-11 -71.6, 34, -54, 44.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388737-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected. R/V Oceanus was used to collect data. The data was collected from 76 stations over one month period spanning from June 15, 1983 to July 11, 1983 in NW Atlantic (limit-40 W). Data was submitted by Dr. Nelson Hogg of Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA in a tape. The originator's data has been processed by NODC and is currently available in F022-CTD Hi resolution file format. proprietary -gov.noaa.nodc:9000136_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NE Atlantic from 1986-05-03 to 1986-05-18 (NCEI Accession 9000136) NOAA_NCEI STAC Catalog 1986-05-03 1986-05-18 -33.2, 28.6, -27.6, 34 https://cmr.earthdata.nasa.gov/search/concepts/C2089388798-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected using R/V Endeavor from NE Atlantic (limit-40 W). The data was collected over a 15 day period spanning from May 3 to May 18, 1986 by Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. Data was submitted by Dr. Terry Joyce. The data has been processed and is available in F022-CTD Hi resolution file format of NODC. proprietary -gov.noaa.nodc:9000151_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the North American Coastline-North from 1990-04-20 to 1990-06-28 (NCEI Accession 9000151) NOAA_NCEI STAC Catalog 1990-04-20 1990-06-28 -76, 36.3, -74.3, 37.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089388853-NOAA_NCEI.umm_json "The Conductivity, Temperature and Depth (CTD) and other data were collected using SEACAT recorders from North American Coast line. NOAA Ship Whiting was used to collect data. The data was collected over a three month period spanning from April 20, 1990 to June 28, 1990 by National Ocean Service, Norfolk, VA. Data was submitted in one diskette of ""SEACAT"" CTD data. The data has been processed and is currently available in F022 CTD high resolution file format of NODC." proprietary -gov.noaa.nodc:9000162_Not Applicable Cloud amount/frequency, NITRATE and other data from KOMET, UNKNOWN PLATFORMS and other platforms in the NE Atlantic from 1936-06-30 to 1976-01-27 (NCEI Accession 9000162) NOAA_NCEI STAC Catalog 1936-06-30 1976-01-27 -71.5, -65, 52.5, 80.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388865-NOAA_NCEI.umm_json Data collected by German Vessels between 1936 and 1974 was received from the German Data Center (DOD). The data include temperature and salinity data collected by German ships in the North-East Atlantic. Associated station and bathythermograph data has been processed by NODC. Station Data is available in C100 Ocean Station Data File format. Bathythermograph data is available in C116 XBT and C128 MBT file formats. Anton Dohrn cruise data was collected between January 8 and January 27, 1976. The data is stored in file L01196.001. Meteor cruise data was collected between August 27 and Sptember 21, 1974. The data is stored in file L01197.001. proprietary -gov.noaa.nodc:9000179_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship MT. MITCHELL in the Gulf of Mexico and NW Atlantic from 1989-05-03 to 1989-11-19 (NCEI Accession 9000179) NOAA_NCEI STAC Catalog 1989-05-03 1989-11-19 -91.1, 25.9, -74.7, 35.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388889-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected using NOAA Ship Mt. Mitchell from NW Atlantic (limit-40 W) and Gulf of Mexico. The data containing 22 casts was collected over a six month period spanning from May 3, 1989 to November 19, 1989 using the SEACAT CTD recorder by WHOI. Data was submitted by National Ocean Service (NOS), Rockville, MD in five diskettes. The data has been processed by NODC and is available in F022-CTD Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000180_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DELAWARE II and NOAA Ship ALBATROSS IV in the NW Atlantic from 1981-09-23 to 1982-09-27 (NCEI Accession 9000180) NOAA_NCEI STAC Catalog 1981-09-23 1982-09-27 -74.9, 36.8, -62.7, 43.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089388894-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Warm Core Rings project. One year data consisting of five cruises was collected from NW Atlantic (limit-40 W) using NOAA Ship Delaware II and NOAA Ship Albatross IV. The data was collected over a period spanning from September 23, 1981 to September 27, 1982. Data was submitted by National Marine Fisheries Service (NMFS), Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000225_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1990-07-11 to 1990-07-23 (NCEI Accession 9000225) NOAA_NCEI STAC Catalog 1990-07-11 1990-07-23 -94.7, 27.2, -88.7, 29.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089384890-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from Gulf of Mexico. R/V Gyre was used to collect data by Texas A&M University, College Station, TX. The data was collected over two week period between July 11-23, 1990. Data was submitted by Dr. Davis Murphy. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000233_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DAVID STARR JORDAN in the NE Pacific from 1986-08-05 to 1988-11-30 (NCEI Accession 9000233) NOAA_NCEI STAC Catalog 1986-08-05 1988-11-30 -127.4, -5.1, -77.8, 26.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089384924-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Marine Mammal Cruises. Two year data consisting of 381 casts was collected from NE Pacific (limit-180) using NOAA Ship DAVID STARR JORDAN. The data was collected over a period spanning from August 5, 1986-November 30, 1988. Data was submitted by Mr. David Behringer of Atlantic Oceanographic Meterological Laboratory, Miami, FL. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000234_Not Applicable Cloud amount/frequency, NITRATE and other data from DISCOVERY in the South Atlantic Ocean from 1987-04-22 to 1987-05-05 (NCEI Accession 9000234) NOAA_NCEI STAC Catalog 1987-04-22 1987-05-05 2, -31.8, 14.9, -26.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089384932-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and Ocean Station data were collected from Lamont-Doherty Earth Observatory, Palisades, NY. Data was collected from South Atlantic Ocean using Ship Discovery . The data was collected over a period spanning from April 22, 1987 to May 5, 1987. Data was submitted by Dr. Arnold L. Gordon. Data has been processed and is available in F022-CTD-Hi Resolution and C100-Ocean-Station-Data file format respectively of NODC. proprietary -gov.noaa.nodc:9000248_Not Applicable Cloud amount/frequency, NITRATE and other data from NOROIT and THALASSA from 1982-04-09 to 1987-04-24 (NCEI Accession 9000248) NOAA_NCEI STAC Catalog 1982-04-09 1987-04-24 -15.1, 45.9, -2.1, 47.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089384973-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of EDYLOC project over five years using Ships Noroit and Thalassa. The data was collected over a period spanning from April, 1982 to April, 1987 during cruises Soldet Legs 1-7. Data was collected by Lamont-Doherty Earth Observatory, Palisades, NY and was submitted by Dr. Gilles Reverdin in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000275_Not Applicable Cloud amount/frequency, NITRATE and other data from MARION DUFRESNE in the NE Atlantic from 1987-01-14 to 1987-02-13 (NCEI Accession 9000275) NOAA_NCEI STAC Catalog 1987-01-14 1987-02-13 18.2, -67, 84.1, -37.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385005-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected over one month period from NE Atlantic (limit-40 W) using Ship Marion Dufresne during cruise 53. The data was collected over a period spanning from January 14, 1987 to February 13, 1987. Data was submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000276_Not Applicable Cloud amount/frequency, NITRATE and other data from MARION DUFRESNE in the NE Atlantic from 1985-04-03 to 1986-05-01 (NCEI Accession 9000276) NOAA_NCEI STAC Catalog 1985-04-03 1986-05-01 39.2, -23.1, 64.3, 12.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385014-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected over one year period from NE Atlantic (limit-40 W) using Ship Marion Dufresne during cruises 44 and 49. The data was collected over a period spanning from April 3, 1985 to May 1, 1986. Data was submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9000277_Not Applicable Cloud amount/frequency, NITRATE and other data from LE SUROIT and LE NOROIT in the NE Atlantic from 1981-10-20 to 1983-09-05 (NCEI Accession 9000277) NOAA_NCEI STAC Catalog 1981-10-20 1983-09-05 -49, 23.9, 6.9, 48.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385024-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected over two year period from NE Atlantic (limit-40 W) using Ships Le Noroit and Le Suroit. The data was collected over a period spanning from October 20, 1981 to September 5, 1983. Data was submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory in two tapes. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100003_Not Applicable Cloud amount/frequency, NITRATE and other data from LE SUROIT, LE NOROIT and other platforms in the NW Atlantic from 1979-05-25 to 1980-05-24 (NCEI Accession 9100003) NOAA_NCEI STAC Catalog 1979-05-25 1980-05-24 -15.9, -2.5, 62.5, 48.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385215-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from NW Atlantic (limit-40 W) by French using four different Ships JEAN CHARCOT, LE NOROIT, LE SUROIT and MARION DUFRESNE. The data were collected over a period spanning from May 25, 1979 to May 24, 1980. Data were submitted by Dr. Gilles Reverdin of Lamont-Doherty Earth Observatory, Palisades, NY in a tape. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100016_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the Gulf of Mexico from 1990-07-27 to 1990-11-20 (NCEI Accession 9100016) NOAA_NCEI STAC Catalog 1990-07-27 1990-11-20 -93.6, 27.5, -87.6, 29.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385616-NOAA_NCEI.umm_json "The Conductivity, Temperature and Depth (CTD) and other physical profile data were collected using SeaCAT sensors. The CAT in SeaCAT stands for ""Continuous Anode Technology"". Six months data were collected from Gulf of Mexico using NOAA Ship WHITING. The data were collected over a period spanning from July 27, 1990 to November 20, 1990 from 16 stations. Data were submitted by National Ocean Service, Norfolk, VA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC." proprietary -gov.noaa.nodc:9100017_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from MULTIPLE SHIPS From Caribbean Sea and Others from 1979-02-05 to 1989-05-03 (NCEI Accession 9100017) NOAA_NCEI STAC Catalog 1979-02-05 1989-05-03 -98, 8, -60, 32 https://cmr.earthdata.nasa.gov/search/concepts/C2089385627-NOAA_NCEI.umm_json The accession contains Chemical Abstracts Society (CAS) parameter codes and Other Data from MULTIPLE SHIPS From Caribbean Sea and Gulf of Mexico from February 5, 1979 to May 3, 1989. Floppy disks containing all the Caribbean Oil Pollution (CARIPOL) Database were submitted by J. Price of NOS. The data were originally held and quality controlled by Dr. Atwood at NOAA/AOML. The data are divided into three groupings: Beach Tar, Floating Tar and Dissolved Tar. The Beach Tar data (ref. no. L01174 02/05/79-05/03/89, 25 STATIONS, 26,413 RECORDS) was submitted by 21 different countries around the caribbean (different institutions and ships). The Dissolved Tar data (ref. no. L01175 11/29/79-11/13/88, 11 STATIONS, 7,209 RECORDS) was submitted by 11 countries, The Floating Tar data (ref. no. L01176 10/29/80-11/27/88, 9 STATIONS, 3,250 RECORDS ) by 9 countries. A description of the parameter names can be found in file structur.doc. The data are in the vax under DUA2:[LEVELA] L01174. The data was offline on May 4, 2005 when this abstract was last edited. Data should be in F144 format. NOTE: Please check the actual file format when the data is online. proprietary -gov.noaa.nodc:9100025_Not Applicable Cloud amount/frequency, ANIMALS - INDIVIDUAL and other data from AIRCRAFT in the Chukchi Sea from 1987-09-01 to 1988-10-16 (NCEI Accession 9100025) NOAA_NCEI STAC Catalog 1987-09-01 1988-10-16 -168.8, 64.8, -140.1, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2089385674-NOAA_NCEI.umm_json The aerial surveys of Whales data in this accession were collected from aircraft by Don Llungblad over the Chukchi Sea between September 1987 and October 1988 by Sea World Research Institute, San Diego, CA. The data were submitted by Ms. Karen M. McClune in a tape. The data have been processed and are available in F127-Marine-Animal-Sightings file format of NODC. proprietary -gov.noaa.nodc:9100026_Not Applicable Cloud amount/frequency, ANIMALS - INDIVIDUAL and other data from AIRCRAFT in the Bering Sea from 1987-09-02 to 1988-10-20 (NCEI Accession 9100026) NOAA_NCEI STAC Catalog 1987-09-02 1988-10-20 -154, 69.6, -139.9, 72.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385684-NOAA_NCEI.umm_json The aerial surveys of Whales data in this accession were collected from aircraft by Steve Tracey over the Bering Sea between September 1987 and October 1988 by Sea World Research Institute, San Diego, CA. The data were submitted by Ms. Karen M. McClune in a tape. The data have been processed and are available in F127-Marine-Animal-Sightings file format of NODC. proprietary -gov.noaa.nodc:9100027_Not Applicable CHLOROPHYLL A - INTEGRATED, CARBON ASSIMILATION - INTEGRATED and other data from THOMAS G. THOMPSON in the Bering Sea from 1978-04-10 to 1980-08-15 (NCEI Accession 9100027) NOAA_NCEI STAC Catalog 1978-04-10 1980-08-15 -169.9, 50, 160, 65 https://cmr.earthdata.nasa.gov/search/concepts/C2089385692-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD), Primary production and underway data were collected as part of Processes and Resources of the Bering Sea Shelf (PROBES) Project. Ship THOMAS G. THOMPSON was used to collect data from Bering Sea. The data was collected over a period spanning from April 10, 1978 to August 15, 1980 by Pacific Marine Environmental Laboratory (PMEL) Seattle, WA. Three tapes containing data files L01200 = TAPE FILES 1 - 5; L01201 = TAPE FILE 6; and A01361 W13748 were submitted. Temperature, Chlorophyll-A, PO4-P, NO3-N, NO2-N, AND SIO3-SI were measured for primary production. The data has been copied into the current NODC data storage system. proprietary -gov.noaa.nodc:9100028_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1990-10-01 to 1990-10-16 (NCEI Accession 9100028) NOAA_NCEI STAC Catalog 1990-10-01 1990-10-16 -96.9, 24.4, -84, 28.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385705-NOAA_NCEI.umm_json The Ocean Station Data; the Water Depth and Temperature Data; and the Conductivity, Temperature and Depth (CTD) was collected from ship GYRE in the Gulf of Mexico by Texas A&M University, College Staion, Texas over a two week period between October 1 and October 16, 1990. The originator's data was submitted in two diskettes by Mr David J. Voegele. The data has been converted and is now available on line in C100 Ocean Station Data, C116 bathythermograph (XBT) and F022-CTD-Hi Res file format of NODC. proprietary -gov.noaa.nodc:9100039_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the Gulf of Maine from 1989-05-18 to 1989-06-11 (NCEI Accession 9100039) NOAA_NCEI STAC Catalog 1989-05-18 1989-06-11 -70, 41, -68.1, 42.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385766-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) data were collected as part of Southern Coastal Plains Expedition (SCOPE) project. One month data was collected from Gulf of Maine using ship Endeavor. The data was collected over a period spanning from May 18, 1989 to June 11, 1989. Data was submitted on a floppy disk containing 199 CTD files by Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100040_Not Applicable Cloud amount/frequency, NITRATE and other data from COLUMBUS ISELIN in the NW Atlantic from 1989-08-04 to 1989-08-13 (NCEI Accession 9100040) NOAA_NCEI STAC Catalog 1989-08-04 1989-08-13 -51, -0.1, -46.5, 4.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089385773-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) data were collected as part of Amazon Shelf Sediment Study (AMASSEDS) project. Data was collected from NW Atlantic (limit-40 W) using ship COLUMBUS ISELIN. The data was collected over a 10 day period between August 4 to August 13, 1989. Data was submitted on a floppy disk containing 86 CTD files by Dr. Richard Limeburner, Woods Hole Oceanographic Institution (WHOI), Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100042_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Gulf of Alaska from 1990-09-11 to 1990-12-16 (NCEI Accession 9100042) NOAA_NCEI STAC Catalog 1990-09-11 1990-12-16 -149.5, 58.2, -147.6, 60.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089385781-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) data were collected from Gulf of Alaska using Ship ALPHA HELIX during three cruises HX14-HX145. The data was collected over a period spanning from September 11, 1990 to December 16, 1990. Data on a tape containing 148 station ovservations was submitted by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100078_Not Applicable Cloud amount/frequency, NITRATE and other data from CAPRICORNE and MARION DUFRESNE in the NE Atlantic from 1982-07-06 to 1987-10-30 (NCEI Accession 9100078) NOAA_NCEI STAC Catalog 1982-07-06 1987-10-30 -42.7, -65.1, 84.1, 33.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089385950-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Seasonal Equatorial Atlantic (SEQUAL) project. Data was collected from NE Atlantic (limit-40 W) using ships CAPRICORNE and MARION DUFRESNE. The data was collected over a period spanning from July 6, 1982 to October 30 1987. Replacement for damaged tape containing French CTD data was submitted by Dr. Gilles Reverdin, Lamont-Doherty Earth Observatory, Palisades, NY. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100079_Not Applicable Cloud amount/frequency, NITRATE and other data from COLUMBUS ISELIN in the NW Atlantic from 1990-11-22 to 1990-12-01 (NCEI Accession 9100079) NOAA_NCEI STAC Catalog 1990-11-22 1990-12-01 -46.1, 1.9, -43.9, 9 https://cmr.earthdata.nasa.gov/search/concepts/C2089385958-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Office of Naval Research (ONR). CTD Data was collected from NW Atlantic (limit-40 W). Replacement data is provided for data collected using Ship CONRAD between May and June 1988. New data was collected using ship COLUMBUS ISELIN over a period spanning from November 22, 1990 to December 1, 1990. Data was submitted by Dr. Eli Katz, Lamont-Doherty Earth Observatory, Palisades, NY. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100080_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship MT. MITCHELL from 1990-04-17 to 1990-11-29 (NCEI Accession 9100080) NOAA_NCEI STAC Catalog 1990-04-17 1990-11-29 -92.7, 26.1, -73.7, 37.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089385968-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected during sixteen casts using NOAA Ship MT. MITCHELL. The data was collected over a period spanning from April 17, 1990 to November 29, 1990. Data was submitted by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100081_Not Applicable Cloud amount/frequency, NITRATE and other data from MELVILLE and WESTWIND in the Southern Oceans from 1983-11-09 to 1983-12-02 (NCEI Accession 9100081) NOAA_NCEI STAC Catalog 1983-11-09 1983-12-02 -40.6, -62.8, -36.3, -57.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385978-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Antarctic Marine Ecosystem Analysis at the Ice Edge Zone (AMERIEZ) project. Data was collected from Southern Oceans (> 60 degrees South) using Ships WESTWIND and MELVILLE. The data was collected over a period spanning from November 9, 1983 to December 2, 1983. Data was submitted by Dr. Robin D. Muench, Science Applications, Inc., Bellevue, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100092_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1991-03-02 to 1991-03-09 (NCEI Accession 9100092) NOAA_NCEI STAC Catalog 1991-03-02 1991-03-09 -95, 23, -92.7, 28.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386035-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and Bathythermograph (XBT) data were collected as part of Texas Institutions Gulf Ecosystem Research (TIGER) program. One week data was collected from Gulf of Mexico using Ship GYRE. The data was collected over a period spanning from March 2, 1991 to March 9, 1991. Data was collected as part ofstudy supported by grant MMS # 14-35-0001-30501 to Dr. Douglas C. Biggs and was submitted by Dr. Edward Webb of Texas A&M University, College Station, TX. Data has been processed and is available in F022-CTD-Hi Resolution and C116-Bathythermograph-XBT file format of NODC. proprietary -gov.noaa.nodc:9100094_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from EVERGREEN From NE Atlantic (limit-40 W) from 1986-05-01 to 1986-05-19 (NCEI Accession 9100094) NOAA_NCEI STAC Catalog 1986-05-01 1986-05-19 -33.2, 28.7, -27.7, 34 https://cmr.earthdata.nasa.gov/search/concepts/C2089386058-NOAA_NCEI.umm_json The data set in this accession contains 100 stations of hydrographic data collected in the northeast Atlantic, south of the Azores, aboard R/V ENDEAVOR, cruise #143. Date of the data are May 1-19, 1987. Two dissolved chlorofluorocarbons CCL3F (Freon 11) and CCL2F2 (Freon 12) were obtained at a number of stations along the cruise track. Data format: the first three columns are CTD pressures (dbar), depth (meters) and CTD temperatures (Deg C) at which each water sample was collected. These columns are followed by the water sample salinity (o/oo), dissolved oxygen (ml/l), calculated variable potential temperature (Deg C), Freon 11 (pmol/kg) and Freon 12 (pmol/kg). Missing values are indicated with -9.000. The data provided by Dr. T. Joyce, Woods Hole Oceanographic Institution. proprietary -gov.noaa.nodc:9100113_Not Applicable Cloud amount/frequency, NITRATE and other data from MOANA WAVE in the TOGA Area - Pacific from 1989-02-09 to 1989-05-10 (NCEI Accession 9100113) NOAA_NCEI STAC Catalog 1989-02-09 1989-05-10 -179.7, 7.9, -85.7, 9.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089386146-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data was collected from TOGA Area - Pacific (30 N to 30 S) R/V MOANA WAVE. The data was collected over a period spanning from February 9, 1989 to May 10, 1989. Data was submitted by Harry Bryden of Woods Hole Oceanographic Institution, Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100116_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NW Atlantic from 1988-03-22 to 1988-03-31 (NCEI Accession 9100116) NOAA_NCEI STAC Catalog 1988-03-22 1988-03-31 -68.4, 36.2, -54.6, 41.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386163-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from twenty six stations in NW Atlantic (limit-40 W) using Ship ENDEAVOR. The data was collected over a one week period spanning March 22 to March 31, 1988. Data was submitted by Dr. Mindy Hall of Woods Hole Oceanographic Institution, Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100131_Not Applicable Cloud amount/frequency, NITRATE and other data from LITTLE DIPPER from 1991-03-28 to 1991-06-18 (NCEI Accession 9100131) NOAA_NCEI STAC Catalog 1991-03-28 1991-06-18 -149.5, 59.8, -149.3, 60.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386198-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other time series data were collected from Resurrection Bay Area using R/V LITTLE DIPPER. The data was collected over a period spanning from March 28, 1991 to June 18, 1991. Data was submitted by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100152_Not Applicable Cloud amount/frequency, NITRATE and other data from J. W. POWELL and GYRE in the Gulf of Mexico from 1991-06-10 to 1991-06-18 (NCEI Accession 9100152) NOAA_NCEI STAC Catalog 1991-06-10 1991-06-18 -97, 26.9, -94.8, 29 https://cmr.earthdata.nasa.gov/search/concepts/C2089386266-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD); and bottle data were collected as part of Texas Institutions Gulf Ecosystem Research (TIGER) program in June 1991 under a grant MMS # 14-35-0001-30501 to Dr. Douglas C. Biggs. Ships GYRE and J. W. POWELL were used to collect data from Gulf of Mexico. The data was collected over a period spanning from June 6-18, 1991. Data was submitted by Mr. David J. Voegele of Texas A&M University, College Station, TX. Data has been processed and is currently available in C100-Ocean-Station-Data and F022-CTD-Hi-Resolution file formats of NODC. proprietary -gov.noaa.nodc:9100175_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the Straits of Florida from 1990-06-03 to 1990-06-16 (NCEI Accession 9100175) NOAA_NCEI STAC Catalog 1990-06-03 1990-06-16 -79.9, 27, -79.1, 27 https://cmr.earthdata.nasa.gov/search/concepts/C2089386329-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Woods Hole Oceanographic Institution Exchange format. The data was collected from Florida Straits using Ship ENDEAVOR. The data was collected over a period spanning from June 3, 1990 to June 16, 1990. Data was submitted by Dr. Michael C. Gregg, University of Washington, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100200_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from FIXED STATIONS From New York Bight and Others from 1968-06-10 to 1990-12-06 (NCEI Accession 9100200) NOAA_NCEI STAC Catalog 1968-06-10 1990-12-06 -74, 40, -73, 41 https://cmr.earthdata.nasa.gov/search/concepts/C2089386392-NOAA_NCEI.umm_json The accession contains New York City Department Harbor Survey Data from years 1968 to 1990. Station data was collected as part of the NYC Department of Environmental Protection's Harbor Survey at the Hudson River along Manhatten, New York Bight, Long Island Sound. Parameters measured were salinity, dissolved oxygen, total coliform counts/ml, and fecal coliform counts/100 ml were recorded as 80-column ASCII files (SAS file format); each line in the file represents sampling data from a single site per day. Data was submitted on a diskette. A hardcopy of a README file which interprets the file format and a map of the study site is included in the documentation. Principal Investigator was Dr. Alan I. Stubin of Institute: NYC DEP (Marine Science Branch, Ward's Island). proprietary -gov.noaa.nodc:9100203_Not Applicable Cloud amount/frequency, NITRATE and other data from OCEANUS in the TOGA Area - Atlantic from 1989-03-01 to 1989-03-19 (NCEI Accession 9100203) NOAA_NCEI STAC Catalog 1989-03-01 1989-03-19 -51.4, 5.1, -17.6, 12.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089386399-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in TOGA Area, Atlantic as part of Trans-Atlantic Section 8 (TAS-8) study. Eighteen days data was collected from Ship OCEANUS. The data was collected over a period spanning from March 1, 1989 to March 19, 1989. Data was submitted in a tape by Kristen M. Sanborn of Scripps Institution of Oceanography, La Jolla, CA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9100241_Not Applicable Cloud amount/frequency, NITRATE and other data from KNORR, ENDEAVOR and OCEANUS in the Greenland Sea from 1988-09-11 to 1991-03-22 (NCEI Accession 9100241) NOAA_NCEI STAC Catalog 1988-09-11 1991-03-22 -68.7, 21.9, 11.1, 85 https://cmr.earthdata.nasa.gov/search/concepts/C2089386536-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD), Bathythermograph (XBT) and Sound Velocity data (XSV) were collected from fifty seven stations in Greenland Sea using ships KNORR, ENDEAVOR, and OCEANUS as part of Moving Ship Tomography Project. The data was collected over a period spanning from September 11, 1988 to March 22, 1991 by The Applied Physics Laboratory. Data containing 495 files in one tape were submitted by Kate Bader, University of Washington, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution and C125-Bathythermograph-XBT-Selected Depths file format of NODC. Original data were submitted on a 1600 BPI magnetic tape in ASCII. Sound velocity was measured in meters/second. File L01403 contains data from 24 stations with 1,381 records collected between 09/11/88 - 10/04/88. File L01404 contains data from 33 stations with 1,919 records collected between 08/04/89 - 08/12/89. proprietary -gov.noaa.nodc:9200007_Not Applicable Cloud amount/frequency, NITRATE and other data from MELVILLE and KNORR from 1987-11-24 to 1989-04-12 (NCEI Accession 9200007) NOAA_NCEI STAC Catalog 1987-11-24 1989-04-12 -60.8, -54, 15.4, 5.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386550-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected as part of Distribution/Abundance of Marine Mammals in Gulf of Mexico (GULFCETI) project. Data was collected from Ships KNORR and MELVILLE. The data was collected over a period spanning from November 24, 1987 and April 12, 1989. Data for South Atlantic Ventilation Experiment (SAVE) legs 1-5 and HYDROS leg 4 was submitted in five tapes by Kristen M. Sanborn of Scripps Institution of Oceanography, La Jolla, CA. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9200030_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship MILLER FREEMAN in the NE Pacific from 1991-04-02 to 1991-10-05 (NCEI Accession 9200030) NOAA_NCEI STAC Catalog 1991-04-02 1991-10-05 -158.6, 50.1, -150.8, 61.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386644-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Fisheries-Oceanography Cooperative Investigations (FOCI) project. Data was collected from NOAA Ship MILLER FREEMAN. The data was collected over a period spanning from April 2, 1991 and October 5, 1991. Tape containing 287 castes of CTD was submitted by Ms. Leslie Lawrence of Pacific Marine Environmental Laboratory (PMEL), Seattle, WA. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9200034_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship DISCOVERER, NOAA Ship WHITING and NOAA Ship MT. MITCHELL in the Gulf of Mexico and NE Pacific from 1991-05-27 to 1991-09-05 (NCEI Accession 9200034) NOAA_NCEI STAC Catalog 1991-05-27 1991-09-05 -96.1, 18.8, -55.3, 29 https://cmr.earthdata.nasa.gov/search/concepts/C2089386682-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other SEACAT data were collected from Gulf of Mexico, NE Pacific (limit-180). Data was collected from NOAA Ship DISCOVERER, NOAA Ship MT. MITCHELL, and NOAA Ship WHITING. The data containing 7 casts was collected over a period spanning from May 27, 1991 and September 5, 1991. Data was submitted in three diskettes by National Ocean Service, Rockville, MD. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9200039_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Coastal Waters of S. Alaska from 1991-07-24 to 1991-11-14 (NCEI Accession 9200039) NOAA_NCEI STAC Catalog 1991-07-24 1991-11-14 -160.6, 21.7, -146.3, 60.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386697-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Coastal Waters of S. Alaska. Data was collected in five cruises from Ship ALPHA HELIX. The data was collected over a period spanning from July 24, 1991 and November 14, 1991. Data was submitted in a tape from cruises L09-L011 and HX159-160 by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. This data set contains high-resolution data collected using CTD (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9200079_Not Applicable Cloud amount/frequency, NITRATE and other data from NEW HORIZON in the NE Pacific from 1989-08-19 to 1989-09-01 (NCEI Accession 9200079) NOAA_NCEI STAC Catalog 1989-08-19 1989-09-01 -128.7, 31, -118.1, 33.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386848-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Fieberling Seamount project. Data was collected from Ship NEW HORIZON. The data was collected over a period spanning from August 19, 1989 and September 1, 1989. Data was submitted in three diskettes by Dr. Gunnar Roden, University of Washington, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9200117_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship RAINIER in the North Pacific Ocean and Gulf of Alaska from 1992-03-18 to 1992-05-14 (NCEI Accession 9200117) NOAA_NCEI STAC Catalog 1992-03-18 1992-05-14 -137, 57, -135, 59 https://cmr.earthdata.nasa.gov/search/concepts/C2089386961-NOAA_NCEI.umm_json Pressure, Temperature, and Salinity (CTD) data, plus sound velocity (cm/sec) data collected during hydrographic surveys conducted by the Pacific Environmental Laboratory (NOAA/PMEL) from NOAA Ship RAINIER between March 18, 1992 and May 14, 1992. Data were collected in the North Pacific Ocean, Gulf of Alaska with a SEACAT STD. Originator's Data was submitted as variable length ASCII files on two diskettes. Files contain header information, including cruise number, ship location and data parameters. Principal Investigator was Lt. John Griffin, Institute: NOAA/PMEL. CTD data were processed and are archived as NODC file type F022. proprietary -gov.noaa.nodc:9300097_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Chukchi Sea from 1992-09-21 to 1992-10-04 (NCEI Accession 9300097) NOAA_NCEI STAC Catalog 1992-09-21 1992-10-04 -177.4, 65.7, -158.8, 71.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387579-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Chukchi Sea. Data was collected from Ship ALPHA HELIX. The data was collected over a period spanning from September 21, 1992 and October 4, 1992. Data from 107 casts was submitted in one diskette by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9300107_Not Applicable Cloud amount/frequency, NITRATE and other data from ENDEAVOR in the NW Atlantic from 1990-06-24 to 1990-07-07 (NCEI Accession 9300107) NOAA_NCEI STAC Catalog 1990-06-24 1990-07-07 -76.8, 32, -70.5, 39.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387607-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from Ship ENDEAVOR cruise 214. The data was collected over a period spanning from June 24, 1990 to July 7, 1990. Data was submitted in a tape by Dr. Robert Pickart, Woods Hole Oceanographic Institution, Woods Hole, MA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9300130_Not Applicable Cloud amount/frequency, NITRATE and other data from GYRE in the Gulf of Mexico from 1993-06-02 to 1993-06-24 (NCEI Accession 9300130) NOAA_NCEI STAC Catalog 1993-06-02 1993-06-24 -92.2, 24.9, -83, 28 https://cmr.earthdata.nasa.gov/search/concepts/C2089387693-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and bathythermograph (XBT) data were collected in Gulf of Mexico as part of Texas Institutions Gulf Ecosystem Research (TIGER) and LATEX project funded by grant no MMS # 14-35-0001-30501. Data was collected from Ship GYRE. The data was collected over a period spanning from June 2, 1993 and June 24, 1993. Data was submitted by Mark Garner, Texas A&M University, College Station, TX. Data has been processed and is available in F022-CTD-Hi Resolution and C116 Bathythermograph file format of NODC. Objective of LATEX A was to observe currents and waves, water properties (such as temperature, salinity and nutrients), and air-sea interaction over the Texas- Louisiana shelf, with the aim of providing data adequate to describe and better understand the circulation and transport of water, nutrients and other properties over that shelf. proprietary -gov.noaa.nodc:9300144_Not Applicable BAROMETRIC PRESSURE and Other Data from CAPE HENLOPEN and Other Platforms From NW Atlantic (limit-40 W) and Others from 1992-08-13 to 1993-06-05 (NCEI Accession 9300144) NOAA_NCEI STAC Catalog 1992-08-13 1993-06-05 -97.5, 21.3, -74.7, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387725-NOAA_NCEI.umm_json The water depth and temperature data were collected in Coastal Waters of Gulf of Mexico, NW Atlantic (limit-40 W) as part of Louisiana-Texas (LATEX part C) Gulf of Mexico Eddy Circulation Study from CAPE HENLOPEN, and DRIFTING PLATFORM between August 13, 1992 and June 5, 1993. The originator's CTD and ARGOS tracked drifting buoy data containing 2,821 records were submitted by Dr. Thomas Berger, Science Applications, Inc. Raleigh NC. The study was supported by grant no MMS 14-35-0001-30633. LATEX is a three-part, $16.2 million federal initiative funded by the U.S. Minerals Management Service (MMS) of the Department of the Interior. The study was conducted to aid MMS in reducing risks associated with oil and gas operations on the continental shelf along the Texas and Louisiana coasts from the mouth of the Mississippi River to the Rio Grande. Begun in September 1991, it was the largest physical oceanography program ever undertaken in the Gulf. The program consists of three major parts: LATEX A, B, and C, conducted by the Texas A&M University System (TAMUS), Louisiana State University (LSU), and Science Applications International Corp. (SAIC), respectively. LATEX C was carried out by researchers at SAIC and the University of Colorado. Loop Current eddies, slope eddies, and squirts and jets within the Gulf of Mexico were located and tracked by air-deployed temperature profiling instruments and drifting buoys. Using these data, scientists assessed the impact of these Gulf-wide, circulation features on shelf circulation and identified the processes that interact with the shelf. The data is currently available in F022-CTD-Hi-Resolution and F156-Drifting-Buoy file formats of NODC. proprietary -gov.noaa.nodc:9300147_Not Applicable Chlorophyll-a profiles collected by various vessels in the Atlantic Ocean and adjoining seas from 03/02/1961 to 10/21/1992 (NCEI Accession 9300147) NOAA_NCEI STAC Catalog 1961-03-02 1992-10-21 -92.039, -9.628, 17.4, 82.017 https://cmr.earthdata.nasa.gov/search/concepts/C2089387743-NOAA_NCEI.umm_json Chlorophyll-a profiles were collected in the Atlantic Ocean and adjoining seas from March 2, 1961 to October 21, 1992. The data were collected by multiple institutions as part of the North Atlantic Chlorophyll Profile Data Set. This work was supported by funding from the European Space Agency and the Canadian Department of Fisheries and Oceans. The README.pdf file in the about/ directory contains information about the file format and data originators. proprietary -gov.noaa.nodc:9300152_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship RAINIER in the NE Pacific from 1993-03-23 to 1993-07-31 (NCEI Accession 9300152) NOAA_NCEI STAC Catalog 1993-03-23 1993-07-31 -157.3, 56.7, -133.6, 57.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387756-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180). Data was collected from NOAA Ship RAINIER. The data was collected over a period spanning from March 23, 1993 to July 31, 1993. Data was submitted in a diskette by Capt. Russell Arnold, Pacific Marine Environmental Laboratory, Seattle, WA. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9300161_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea and Others from 1992-07-24 to 1992-10-27 (NCEI Accession 9300161) NOAA_NCEI STAC Catalog 1992-07-24 1992-10-27 -170.4, 53.6, -149.4, 71.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387773-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska, Chukchi Sea, and NW Pacific (limit-180). Data was collected from cruises HX 163, HX 165 and HX 167 of Ship ALPHA HELIX. The data was collected over a period spanning from July 24, 1992 to october 27, 1992. Data was submitted in one exabyte cassette by Dr. Thomas C. Royer, Institute of Marine Science, University of Alaska, Fairbanks, AK. proprietary -gov.noaa.nodc:9300187_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the Gulf of Mexico from 1992-04-02 to 1992-07-14 (NCEI Accession 9300187) NOAA_NCEI STAC Catalog 1992-04-02 1992-07-14 -92.9, 27.4, -91.8, 27.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387862-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Mexico by SEACATs deployed in the area. Data was collected from NOAA Ship WHITING during 7 casts. The data was collected over a period spanning from April 2, 1992 to July 14, 1992. Data was submitted in one diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9300196_Not Applicable Algal Species and other data collected from photographs in Southeast Atlantic Ocean from 1991-06-11 to 1993-03-22 (NCEI Accession 9300196) NOAA_NCEI STAC Catalog 1991-06-11 1993-03-22 -88, 17, -85, 22 https://cmr.earthdata.nasa.gov/search/concepts/C2089387904-NOAA_NCEI.umm_json Algal species and other data were collected using photographs from swimmers/divers in Southeast Atlantic Ocean. Data were collected from 11 June 1991 to 22 March 1993 by the Coral Cay Conservation. proprietary -gov.noaa.nodc:9300199_Not Applicable Benthic and tissue toxin data from stations in U.S. coastal waters from 1984-01-01 to 1989-12-31 (NCEI Accession 9300199) NOAA_NCEI STAC Catalog 1984-01-01 1989-12-31 -123, 25, -67, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2089387915-NOAA_NCEI.umm_json The accession contains Benthic and Tissue toxin data from stations in U.S. coastal waters (Coastal Waters of Western U.S. and North American Coastline-North) collected under the National Status and Trends (NS&T) program from 1984-1989. NS&T program for marine environmental quality was designed to define the geographic distribution of contaminant concentrations in tissues of marine organisms and sediments, and documenting biological responses to contamination. Samples have been collected under the original Benthic Surveillance Project (sediment and tissue samples from benthic fish) since 1984. Samples have been collected under the Mussel Watch Project (sediment and bivalves) since 1986. Both programs involved collecting samples from fixed sites on both Atlantic and Pacific coasts. Sites were selected so as not to be in close proximity to a major contamination source, as the programs objective was to quantify contamination over general areas. Chemical data from sediments collected during the benthic surveillance project, 1984-1986, is contained in a single delimited ASCII file (bssed.txt). Additional contaminated sediment data from the mussel watch program, 1986-1989, is contained in a single delimited ASCII file (mwsed.txt). These data do not include tissue analysis for contaminants. Chemicals and related parameters measured in sediments include: DDT. Since 1986, NOAA'S NS&T Program has included a component called the mussel watch project that has annually collected and chemically analyzed mussels and oysters from 177 sites at coastal and estuarine sites. Tissue samples from these mollusks have been analyzed to establish temporal trends of contaminant accumulation. Contaminants analyzed during this project include: polyaromatic hydrocarbons, polychlorinated biphenyls, chlorinated pesticides (such as ddt and its metabolites), aluminum, iron, manganese, silicon, other trace elements, and lipids. Tissue contaminant data from the mussel watch project, years 1986-1989, is contained in a single wordperfect 4.2 file, mollto90.txt. a second file, tbt_90.txt, lists the sum of concentrations of tributyl tin and its breakdown products (dibutyl tin and monobutyl tin) found in bivalve tissue samples. Tributylin (tbt) was previously used as an antifouling agent in paints, but its use on vessels under 75 feet was banned in 1988. A third file, mwsiteyr.txt, lists collection sites. proprietary -gov.noaa.nodc:9400001_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING in the NW Atlantic from 1993-08-29 to 1993-11-21 (NCEI Accession 9400001) NOAA_NCEI STAC Catalog 1993-08-29 1993-11-21 -71.3, 41.4, -70.3, 41.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387925-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) SEACAT data was collected in NW Atlantic (limit-40 W). Data was collected during 17 casts from NOAA Ship WHITING. The data was collected over a period spanning from August 29, 1993 to November 21, 1993. Data was submitted in a diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400010_Not Applicable BAROMETRIC PRESSURE and Other Data from SEAWARD EXPLORER From NW Atlantic (limit-40 W) from 1993-02-06 to 1993-08-28 (NCEI Accession 9400010) NOAA_NCEI STAC Catalog 1993-02-06 1993-08-28 -75.9, 34.5, -73.7, 36.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089388069-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W) as part of Physical Oceanography Field Program offshore North Carolina supported by grant MMS #14-35-0001-30599. Data was collected from Ship SEAWARD EXPLORER cruises SE9301, SE9303, and SE9309. The data was collected over a period spanning from February 6, 1993 and August 28, 1993. Data from 146 stations containing 7,614 records was submitted on a tape by Dr. Thomas Berger, Science Applications, Inc., Raleigh NC. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9400013_Not Applicable Cloud amount/frequency, NITRATE and other data from NOAA Ship WHITING from 1993-04-25 to 1993-07-13 (NCEI Accession 9400013) NOAA_NCEI STAC Catalog 1993-04-25 1993-07-13 -74.9, 38.7, -74.6, 38.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089388221-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from NOAA Ship WHITING cruises 93115-194. The data was collected over a period spanning from April 25, 1993 to July 13, 1993. Data was submitted in a diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9400015_Not Applicable Cloud amount/frequency, NITRATE and other data from MOANA WAVE in the NE Pacific from 1990-08-06 to 1990-12-13 (NCEI Accession 9400015) NOAA_NCEI STAC Catalog 1990-08-06 1990-12-13 -158, 1.1, -126.2, 20.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089388228-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180). Data was collected from Ship MOANA WAVE cruises MW9010 & MW9012. The data was collected over a period spanning from August 6, 1990 and December 13, 1990. Data was submitted via File transfer protocol by Dr. Pierre Flament, University of Hawaii at Manoa, Honolulu, HI. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. proprietary -gov.noaa.nodc:9400017_Not Applicable BAROMETRIC PRESSURE and Other Data from GYRE From Gulf of Mexico from 1993-10-28 to 1993-11-03 (NCEI Accession 9400017) NOAA_NCEI STAC Catalog 1993-10-28 1993-11-03 -95.5, 26.4, -94.6, 28.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089388245-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD); and Transmissivity and Fluorescence data were collected in Gulf of Mexico as part of Texas Institutions Gulf Ecosystem Research (TIGER) project. Data was collected from Ship GYRE cruise 93G12. The data from 15 casts containing 11,448 records was collected over a period spanning from October 28, 1993 and November 3, 1993. Data was submitted in one diskette by Mr. P.V. Pittman, Texas A&M University, College Station, TX. proprietary -gov.noaa.nodc:9400026_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea from 1993-06-12 to 1993-07-01 (NCEI Accession 9400026) NOAA_NCEI STAC Catalog 1993-06-12 1993-07-01 -179.2, 24.9, -160, 67.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089388305-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea. Data was collected from Ship ALPHA HELIX cruise HX 171. The data was collected over a period spanning from June 12, 1993 and July 1, 1993. Data from 81 stations was submitted in a diskette by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400033_Not Applicable Bahia Las Minas, Panama Oil Spill Assessment, 1986-1991 (NCEI Accession 9400033) NOAA_NCEI STAC Catalog 1986-05-01 1991-10-31 -80, 9.2, -79, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089388341-NOAA_NCEI.umm_json In April 1986 a major oil spill from a ruptured storage tank at a local refinery just east of the Caribbean entrance to the Panama Canal polluted an area of coral reefs, mangrove forests, and grassbeds along the Caribbean coast of the Republic of Panama. The area affected included a biological reserve of the Smithsonian Tropical Research Institute (STRI) where baseline biological and environmental data had beencollected for the previous 15 years. Shortly after the spill, a grant to study the effects of the spill was received from the Minerals Management Service of the United States Department of the Interior. Data was then collected from May of 1986 to October of 1991 by the Smithsonian Tropical Research Institute under Minerals Management Service contracts 14-12-0001-30355 and 14-12-0001-30393. These data are filed under NCEI Accession #9400033. Results of the study were published as a technical report of the MMS (Keller and Jackson, 1993.) The project was divided into 8 subprojects to study the chemistry of the oil and 7 different environments affected by the spill, which included seagrass, coral, and mangrove communities. The study continued in part for an additional year under another grant, but that data is not included here, nor is data collected before the spill or data collected by the STRI ESP program. proprietary -gov.noaa.nodc:9400036_Not Applicable Cloud amount/frequency, NITRATE and other data from ALPHA HELIX in the Bering Sea and Chukchi Sea from 1993-09-09 to 1993-10-10 (NCEI Accession 9400036) NOAA_NCEI STAC Catalog 1993-09-09 1993-10-10 177.8, 59.8, -149.4, 74.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089388351-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea and Chukchi Sea. Data was collected from Ship ALPHA HELIX. The data was collected over a period spanning from September 9, 1993 to October 10, 1993. Data was submitted in a diskette by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400051_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From North Pacific Ocean and Others from 1993-10-16 to 1993-11-03 (NCEI Accession 9400051) NOAA_NCEI STAC Catalog 1993-10-16 1993-11-03 174.3, 51, -149.4, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089388457-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea and North Pacific Ocean. Data was collected from Ship ALPHA HELIX cruise HX-175. The data was collected over a period spanning from October 16, 1993 to November 3, 1993. Data was submitted in a cassette by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400052_Not Applicable Chemical, physical, zooplankton abundance, and other data collected using fluorometer, laboratory analysis, visual analysis, and zooplankton net casts from multiple ships from the Coastal Waters of California and North Pacific Ocean as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1951-01-01 to 1993-08-28 (NCEI Accession 9400052) NOAA_NCEI STAC Catalog 1951-01-01 1993-08-28 -118.4, 25.7, -117.5, 33 https://cmr.earthdata.nasa.gov/search/concepts/C2089388462-NOAA_NCEI.umm_json Chemical, physical, zooplankton abundance, and other data were collected using fluorometer, laboratory analysis, visual analysis, and zooplankton net casts from multiple ships from the Coastal Waters of California and North Pacific Ocean from January 1, 1951 to August 28, 1993. Data were submitted by Scripps Institution of Oceanography as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:9400056_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship RAINIER From Coastal Waters of California from 1994-03-30 to 1994-04-20 (NCEI Accession 9400056) NOAA_NCEI STAC Catalog 1994-03-30 1994-04-20 -124.5, 35.4, -121, 40.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089388480-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Coastal Waters of California. Data was collected from NOAA Ship RAINIER. The data was collected over a period spanning from March 31, 1994 and April 22, 1994. Data from 3 CTD casts containing 170 records was submitted on one diskette by Capt. Russell Arnold, National Ocean Service, Seattle, WA in WHOI exchange format. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400062_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea and Others from 1993-07-09 to 1993-08-07 (NCEI Accession 9400062) NOAA_NCEI STAC Catalog 1993-07-09 1993-08-07 176, 51.5, -178.8, 53 https://cmr.earthdata.nasa.gov/search/concepts/C2089388512-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea, Chukchi Sea. Data was collected from Ship ALPHA HELIX cruise Aleutian Birds HX-172 funded by National Science Foundation Division of Polar Programs . The data was collected over a period spanning from July 9, 1993 and August 7, 1993. Data was submitted in a cassette by Dr. Chirk Chu of Institute of Marine Science, University of Alaska, Fairbanks, AK. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400085_Not Applicable Bottle data collected by R/V Rapuhia from 1991-02-21 to 1991-03-11 (NCEI Accession 9400085) NOAA_NCEI STAC Catalog 1991-02-21 1991-03-11 176.7, -35.7, -167.9, -32.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388621-NOAA_NCEI.umm_json Bottle data set collected on the R/V Rapuhia, a New Zealand ship which is run by New Zealand Oceanography Institute (NZOI). Data were collected from 21 February 1991 to 11 March 1991 as part of WHOI's moored current meter array experiment. proprietary -gov.noaa.nodc:9400110_Not Applicable BAROMETRIC PRESSURE and Other Data from LITTLE DIPPER From Gulf of Alaska from 1992-05-21 to 1994-05-25 (NCEI Accession 9400110) NOAA_NCEI STAC Catalog 1992-05-21 1994-05-25 -149.5, 59.8, -149.4, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089388731-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska. Data was collected from Ship LITTLE DIPPER. The data was collected over a period spanning from May 21, 1992 to May 25, 1994. Oceanographic time series CTD data in 33 files was submitted in a diskette by Dr. Thomas C. Royer, Institute of Marine Science, University of Alaska, Fairbanks, AK. proprietary -gov.noaa.nodc:9400124_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship WHITING From NW Atlantic (limit-40 W) from 1994-05-20 to 1994-06-23 (NCEI Accession 9400124) NOAA_NCEI STAC Catalog 1994-05-20 1994-06-23 -71.4, 41.5, -70.4, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388795-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from NOAA Ship WHITING. The data was collected over a period spanning from May 20, 1994 and June 23, 1994. Data from 9 casts containing 270 records in WHOI/NODC Exchange format was submitted in one diskette by National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400134_Not Applicable Chemical, physical, and other data collected using fluorometer, laboratory analysis, and visual analysis from multiple ships as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1973-03-08 to 1993-08-26 (NCEI Accession 9400134) NOAA_NCEI STAC Catalog 1973-03-08 1993-08-26 -130, 20, -105, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2089388852-NOAA_NCEI.umm_json Ammonmium, nitrite, nitrate, chlorophyll a, temperature, pressure, and other data were collected from multiple ships from March 8, 1973 to August 26, 1993. Data were collected using fluorometer, laboratory analysis, and visual analysis in the Coastal Waters of California. Data were collected by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:9400141_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship WHITING From NW Atlantic (limit-40 W) from 1994-05-25 to 1994-07-23 (NCEI Accession 9400141) NOAA_NCEI STAC Catalog 1994-05-25 1994-07-23 -70.6, 41.5, -70.4, 41.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388887-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from NOAA Ship WHITING. The data was collected over a period spanning from May 25, 1994 to July 23, 1994. Data from 10 CTD casts containing 234 recrods was submitted in a floppy diskette by Ms. Ruby Becker of National Ocean Service, Rockville, MD. Data has been processed and is available in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400142_Not Applicable BAROMETRIC PRESSURE and Other Data from UNKNOWN and Other Platforms From Indian Ocean from 1991-07-01 to 1994-02-22 (NCEI Accession 9400142) NOAA_NCEI STAC Catalog 1991-07-01 1994-02-22 115, -9.5, 133.7, 1.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089388890-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in the Indian Ocean. Data were collected from Ship BARUNA JAYA I. The data were collected over a period spanning from July 1, 1991 and February 22, 1994. Data from 140 CTD casts containing 112,303 records were submitted on eight diskettes by two visitors from the Agency for the Assessment and Application of Technology, Indonesia to Ocean Climate Laboratory. Data was processed into NODC F022 High-Resolution CTD file format. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9400150_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship DAVID STARR JORDAN and Other Platforms From Coastal Waters of California from 1987-04-10 to 1994-05-23 (NCEI Accession 9400150) NOAA_NCEI STAC Catalog 1987-04-10 1994-05-23 -126.8, 28.1, -121.8, 38.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089384888-NOAA_NCEI.umm_json Conductivity, Temperature and Depth (CTD) and other data were collected in Coastal Waters of California by NOAA Ship DAVID STARR JORDAN. Data were collected over a period from April 10, 1987 to May 23, 1994. CTD Data from 3,380 casts was received from Kenny Baltz of National Marine Fisheries Service, Tiburon, CA via Norm Hall by NODC. proprietary -gov.noaa.nodc:9400159_Not Applicable BAROMETRIC PRESSURE and Other Data from XIANG YANG HONG 09 and Other Platforms (NCEI Accession 9400159) NOAA_NCEI STAC Catalog 108.616667, -2.683833, 159.990667, 39.916667 https://cmr.earthdata.nasa.gov/search/concepts/C2089384925-NOAA_NCEI.umm_json The depth, temperature, salinity, and oxygen data in this accession were provided by the Chinese National Oceanographic Data Center during 4th meeting of US/PRC Joint Coordination Panel for Data and Information Cooperation as part of World Ocean Circulation Experiment. Data were collected between November 1992 and December 1993 using ships XIANG YANG HONG 09, SHI YAN 3, and XIANG YANG HONG 05. The CTD data were submitted on two tapes and four diskettes. proprietary -gov.noaa.nodc:9400164_Not Applicable Carbon dioxide, temperature, and salinity collected from surface underway survey from 1986-05 to 1989-04 (NCEI Accession 9400164) NOAA_NCEI STAC Catalog 1986-05-23 1989-04-20 90, -61.063, -90.615, 56 https://cmr.earthdata.nasa.gov/search/concepts/C2089384964-NOAA_NCEI.umm_json "This accession contains chemical and physical profile data containing measuremnts of depth, salinity and temperature collected between May 1986 and April 1989. Data were submitted on a diskette containing 12 files by Dr. Richard Feely of Pacific Marine Environmental Laboratory, Seattle, WA. Files were received by NODC via Ocean Climate Laboratory. Refer to publication ""Murphy, et al, NOAA Tech. Memo ERL PMEL-101"" for more details." proprietary -gov.noaa.nodc:9400167_Not Applicable BAROMETRIC PRESSURE and Other Data from 1972-10-29 to 1992-07-26 (NCEI Accession 9400167) NOAA_NCEI STAC Catalog 1972-10-29 1992-07-26 -1.2, -60, 0, 78.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089384990-NOAA_NCEI.umm_json Conductivity, Temperature and Depth (CTD) and other data were collected over two decades from October 29, 1972 to July 26, 1992. Data files were assembled by Mr. Russ Burgett of Woods Hole Oceanographic Institution, Woods Hole, MA. 77 files of data containing 4,757 profiles were received by NODC via File Transfer Protocol. proprietary -gov.noaa.nodc:9400203_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship RAINIER from 1994-05-16 to 1994-11-04 (NCEI Accession 9400203) NOAA_NCEI STAC Catalog 1994-05-16 1994-11-04 -157.8, 55, -147.1, 61.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089385654-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Cook Inlet, Prince William Sound from NOAA Ship RAINIER. The data was collected over a period spanning from May 16, 1994 to November 4, 1994. Data from 11 CTD casts was submitted on a diskette by Capt. Russell Arnold of National Ocean Service, Seattle WA. proprietary -gov.noaa.nodc:9400205_Not Applicable BAROMETRIC PRESSURE and Other Data from ODEN from 1991-01-01 to 1991-12-31 (NCEI Accession 9400205) NOAA_NCEI STAC Catalog 1991-01-01 1991-12-31 -14.855, 81.15, 169.685, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089385673-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9400206_Not Applicable Cloud amount/frequency, NITRATE and other data from ELTANIN from 1969-12-22 to 1970-01-25 (NCEI Accession 9400206) NOAA_NCEI STAC Catalog 1969-12-22 1970-01-25 129.8, -64.5, 135.9, -35 https://cmr.earthdata.nasa.gov/search/concepts/C2089385681-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9400223_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship WHITING From NW Atlantic (limit-40 W) from 1994-10-12 to 1994-11-12 (NCEI Accession 9400223) NOAA_NCEI STAC Catalog 1994-10-12 1994-11-12 -81, 31, -81, 31 https://cmr.earthdata.nasa.gov/search/concepts/C2089385743-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NW Atlantic (limit-40 W). Data was collected from NOAA Ship WHITING. The data was collected over a period spanning from October 12, 1994 to November 12, 1994. One diskette of data from 14 casts was submitted by National Ocean Service, Rockville, MD. proprietary -gov.noaa.nodc:9400225_Not Applicable ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From Gulf of Maine from 1985-01-01 to 1992-12-31 (NCEI Accession 9400225) NOAA_NCEI STAC Catalog 1985-01-01 1992-12-31 -70.9, 42, -65.7, 45 https://cmr.earthdata.nasa.gov/search/concepts/C2089385762-NOAA_NCEI.umm_json The accession contains binary raster images from landsat thematic mapper collected in Gulf of Maine between 1982 to 1985. A suite of Regional Satellite Products from Edward Bright, Martin-Marietta Energy Systems at Oak Ridge National Laboratory was submitted. Each data set is about megabyte. proprietary -gov.noaa.nodc:9500029_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Bering Sea from 1994-05-03 to 1994-06-08 (NCEI Accession 9500029) NOAA_NCEI STAC Catalog 1994-05-03 1994-06-08 -180, 53.9, -149.3, 64.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089385960-NOAA_NCEI.umm_json "The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea as part of Inner SHelf Transfer and recycling (ISHTAR) and ""St. Lawrence Island Polynya"" project. Data was collected from Ship ALPHA HELIX cruise HX-177. The data was collected over a period spanning from May 3, 1994 and June 8, 1994. Dr. Jackie Grebmeir, Univ. of Tenn., Knoxville was Principal Investigator funde by NSF Grant OPP-9000694. Data from 105 stations was received by NODC via Dr. Chirk Chu, University of Alaska, Institute of Marine Science, Fairbanks, AK. Data is in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals." proprietary -gov.noaa.nodc:9500030_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Bering Sea and Others from 1994-09-10 to 1994-10-10 (NCEI Accession 9500030) NOAA_NCEI STAC Catalog 1994-09-10 1994-10-10 -174.6, 59.8, -149.4, 71.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089385969-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Bering Sea and Chukchi Sea. Data was collected from Ship ALPHA HELIX. The data was collected over a period spanning from September 10, 1994 to October 10, 1994. One CTD data set from 61 stations was submitted via FTP by Dr. Thomas Weingartner, Institute of Marine Science, University of Alaska, Fairbanks. AK. Data has been replaced on May 22, 2000 by accession 000148. The new accession was submitted by Mr. S. Stillwaugh NODC NW Liaison Officer. proprietary -gov.noaa.nodc:9500031_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms From Bering Sea and Others from 1994-06-27 to 1995-01-06 (NCEI Accession 9500031) NOAA_NCEI STAC Catalog 1994-06-27 1995-01-06 -165.1, 54, -130, 62 https://cmr.earthdata.nasa.gov/search/concepts/C2089385979-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska and Bering Sea as part of Inner SHelf Transfer and recycling (ISHTAR) project. Data was collected from Ships ALPHA HELIX and LITTLE DIPPER. The data was collected over a period spanning from June 27, 1994 to January 6, 1995. 7 sets of CTD data collected from seabird from 13 stations was received by NODC from Dr. C. Peter McRoy of University of Alaska, Institute of Marine Science, Fairbanks, AK via FTP. Data is in F022-CTD-Hi Resolution file format of NODC. F022 High-resolution CTD data is collected from high resolution (conductivity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1 m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t) and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. proprietary -gov.noaa.nodc:9500032_Not Applicable BAROMETRIC PRESSURE and Other Data from NEW HORIZON and Other Platforms From NE Pacific (limit-180) from 1993-10-02 to 1994-04-12 (NCEI Accession 9500032) NOAA_NCEI STAC Catalog 1993-10-02 1994-04-12 -126.000333, 44.6485, -124.177167, 47.284 https://cmr.earthdata.nasa.gov/search/concepts/C2089385990-NOAA_NCEI.umm_json "The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of ""Search for direct evidence of sulpher quenching of biomass...etc."" project funded by NSF grant OCE 9203292. Data was collected from Ships NEW HORIZON, POINT SUR and WECOMA. The data was collected over a period spanning from October 2, 1993 to April 12, 1994. CTD data from 12 stations was submitted in three diskettes by Dr. Frederick Prahl of Oregon State University, Corvallis, OR." proprietary -gov.noaa.nodc:9500048_Not Applicable Chemical, physical, and other data collected using fluorometer, laboratory analysis, visual analysis, and bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1992-01-28 to 1994-10-14 (NCEI Accession 9500048) NOAA_NCEI STAC Catalog 1992-01-28 1994-10-14 -132.983333, 31.733333, -120, 43.216667 https://cmr.earthdata.nasa.gov/search/concepts/C2089386077-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 28, 1992 to October 14, 1994. Data were collected using fluorometer, laboratory analysis, visual analysis, and bottle casts in the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:9500053_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA LAUNCHES and Other Platforms From Gulf of Alaska from 1993-06-22 to 1993-08-25 (NCEI Accession 9500053) NOAA_NCEI STAC Catalog 1993-06-22 1993-08-25 -153.6, 59.3, -150.8, 61.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386114-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Gulf of Alaska. Data was collected from NOAA LAUNCHES. The data was collected over a period spanning from June 22, 1993 to August 25, 1993. Data was submitted by Dr. Douglas Segar of University of Alaska, Anchorage, AK. This accession contains files with hydrocarbon, trace metal, and grain size analyses for the U.S. MMS report (OCS Study MMS 95-0009) Current Water Quality in Cook Inlet, Study. There are 9 Lotus 123 WK3 files, 1 Lotus 123 WK1 file, and 1 Lotus Freelance graphics file. Freelance File: MMSRPT.DRW Figure 12. Grain-size composition by station in Cook Inlet. Lotus Files: CHPHSEDR.WK1 Table 44. Chemical and statistical results for sediment replicate samples. Table 70. Chemical and physical results for sediment replicate samples. DSSMTLS.WK3 Table 34. Concentration of total metals in suspended solids. MTLWATC1.WK3 Table 28. Cruise 1 total metal concentrations for water. MTLWATC2.WK3 Table 29. Cruise 2 total metal concentrations for water. PAHSED2.WK3 Table 43. Summary of PAH concentrations for sediment replicates. SEDSHC.WK3 Table 41. Summary of saturated hydrocarbon concentrations for sediment replicates. SEDMTLS.WK3 Table 45. Summary of total metals in sediments. SSMTLS.WK3 Table 33. Summary of total metals in suspended solids. WATSHCC1.WK3 Table 24. Cruise 1 saturated hydrocarbon concentrations for water. WATSHCC2.WK3 Table 25. Cruise 2 saturated hydrocarbon concentrations for water. proprietary -gov.noaa.nodc:9500075_Not Applicable CARBON DIOXIDE - PARTIAL PRESSURE (pCO2) - SEA and Other Data from MULTIPLE SHIPS From TOGA Area - Pacific (30 N to 30 S) from 1989-01-01 to 1989-12-31 (NCEI Accession 9500075) NOAA_NCEI STAC Catalog 1989-01-01 1989-12-31 -159, 22.7, -157.9, 22.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386263-NOAA_NCEI.umm_json "Sea/air gas ratios data was collected in TOGA Area - Pacific (30 N to 30 S) between January 1, 1989 and December 31, 1989 during cruises conducted using ships WECOMA, KILA and MOANA WAVE as part of the Hawaii Ocean Time-Series (HOTS) project, to fulfill the requirements of the World Ocean Circulation Experiment (WOCE). Oxygen / Argon ratios; Oxygen / Nitrogen ratio and Oxygen-18 isotope / at depth vs. air were measured by University of Washington, Seattle, WA. Data was reported in Emerson, Quay, et al., ""O2, Ar, N2 and 222Rn in Surface Waters of the Subarctic Ocean: Net Biological O2 Production"", Global Biogeochemical Cycles, vol 5, pp49-69." proprietary -gov.noaa.nodc:9500100_Not Applicable BAROMETRIC PRESSURE and Other Data from WECOMA and Other Platforms From NE Pacific (limit-180) from 1993-06-07 to 1993-09-20 (NCEI Accession 9500100) NOAA_NCEI STAC Catalog 1993-06-07 1993-09-20 -129, 36, -122, 40 https://cmr.earthdata.nasa.gov/search/concepts/C2089386407-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in NE Pacific (limit-180) as part of Eastern Boundary Currents Accelerated Research Initiative. Data was collected from Ship WECOMA cruises # W9306A and W9308B. The data was collected over a period spanning from June 7, 1993 to September 20, 1993. Conventional CTD data from 100 casts and 165 segments (stations) of towed SEASOAR CTD data was submitted by Dr. Adrianna Huyer, Oregon State University, Corvallis OR. Four files of data and two Data Documentation Form files were received by NODC. proprietary -gov.noaa.nodc:9500145_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX and Other Platforms From Bering Sea from 1985-01-01 to 1995-01-06 (NCEI Accession 9500145) NOAA_NCEI STAC Catalog 1985-01-01 1995-01-06 -149.466667, 59.845, -149.358167, 60.025 https://cmr.earthdata.nasa.gov/search/concepts/C2089386649-NOAA_NCEI.umm_json The accession contains Conductivity, Temperature and Depth (CTD); Chlorophyll; and Nutrient data collected in Bering Sea as part of Inner Shelf Transfer and Recycling (ISHTAR) program collected from 1985-1995 using multiple ships. The compressed tar file ishtar.tar.Z contained ASCII files of the ISHTAR research project headed by Dr. C.P. McRoy of the Institute of Marine Science, University of Alaska Fairbanks. There are two types of files: 1. Chlorophyll (20), and 2. Nutrient (19). They are differentiated by filenames. Chlorophyll data files end in chl.dat and Nutrient data files end in nut.dat. The prefixes are cruise names. Good format information is provided with the data files. proprietary -gov.noaa.nodc:9500149_Not Applicable ALACE subsurface drifter data in South Pacific, for March 1995 (NCEI Accession 9500149) NOAA_NCEI STAC Catalog 1995-03-01 1995-03-22 -155.26, -70.46, 10.48, 35.12 https://cmr.earthdata.nasa.gov/search/concepts/C2089386671-NOAA_NCEI.umm_json The ALACE (Autonomous LAgrangian Circulation Explorer) is a subsurface drifter, periodically rising to the surface to relay data to ARGOS. Instrument location is then obtained from ARGOS. An ALACE profiler collects data on ascent and relays a compressed data set to ARGOS. The amount of time spent at its neutrally-buoyant depth, and then at the surface, is variable, dependent upon the deployment site and the main scientific objective of the ALACE. Profiling ALACEs generally complete a cycle every 8-10 days, spending 24 hours at the surface transmitting to ARGOS. proprietary -gov.noaa.nodc:9500152_Not Applicable BAROMETRIC PRESSURE and Other Data from AURORA AUSTRALIS and Other Platforms from 1991-01-06 to 1992-03-06 (NCEI Accession 9500152) NOAA_NCEI STAC Catalog 1991-01-06 1992-03-06 67.5, -69.5, 135.4, -50.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386699-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from Ship AURORA AUSTRALIS. The data was collected over a period spanning from January 6, 1991 and March 6, 1992. Data from 343 casts containing 185,102 records was submitted via File Transfer Protocol by Ms. Edwina Tanner, Antarctic Cooperative Research Centre, University of Tasmania, Australia. proprietary -gov.noaa.nodc:9500160_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea from 1995-08-24 to 1995-09-01 (NCEI Accession 9500160) NOAA_NCEI STAC Catalog 1995-08-24 1995-09-01 163.988167, 66.665667, -168.998, 71.312667 https://cmr.earthdata.nasa.gov/search/concepts/C2089386823-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected from 73 stations in Chukchi Sea and East Siberian Sea area. The station numbers are 1-6, 8-30, 32-74, 76. Data was collected from Ship ALPHA HELIX cruise HX189. The data was collected BY Dr. J. Grebmeier of the University of Tennessee over a period spanning from August 24, 1995 to September 1, 1995. This project was funded by Office of Naval Research under grant no: NAVY N00014-94-1-1042Grebmeier. Data in NODC file format F022 was submitted by Dr. Chirk Chu, Institute of Marine Science, University of Alaska, Fairbanks. proprietary -gov.noaa.nodc:9600001_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX From Chukchi Sea from 1995-09-10 to 1995-10-08 (NCEI Accession 9600001) NOAA_NCEI STAC Catalog 1995-09-10 1995-10-08 160, 52, -156, 71 https://cmr.earthdata.nasa.gov/search/concepts/C2089386837-NOAA_NCEI.umm_json The Conductivity, Temperature and Depth (CTD) and other data were collected in Chukchi Sea as part of Office of Naval Research project. Data was collected from Ship ALPHA HELIX cruise HX-190. The data was collected over a period spanning from September 11, 1995 to October 8, 1995. Data was collected from 209 CTD stations by Institute of Marine Science, University of Alaska, Fairbanks, AK and was submitted by Dr Thomas Weingartner via File transfer Protocol in F022 file format of NODC. proprietary -gov.noaa.nodc:9600025_Not Applicable AIR PRESSURE and Other Data from SHI YAN 3 From Antarctic and Others from 1992-11-09 to 1993-02-24 (NCEI Accession 9600025) NOAA_NCEI STAC Catalog 1992-11-09 1993-02-24 158, -2, 158, -2 https://cmr.earthdata.nasa.gov/search/concepts/C2089386973-NOAA_NCEI.umm_json The accession contains Surface Wave data and Sea Surface Temperature (SST) data collected as part of Tropical Ocean Global Atmosphere (TOGA) and Coupled Ocean-Atmosphere Response Experiment (COARE) International Project by a remote measuring buoy. The data was collected in Southern Oceans (> 60 degrees South), TOGA Area - Pacific (30 N to 30 S) from ship SHI YAN 3 between November 9, 1992 and February 24, 1993. Data was submitted by Chen Junchang of South China Sea Institute of Oceanology, Chinese Academy of Sciences. The data was made available by TOGA COARE International Project Office (TCIPO) via FTP. During the TOGA COARE Intensive Observing Period (IOP), the PRC R/V Shiyan #3 was stationed at 2 14'S, 158E for the three legs of data collection. Good format description accompanies the data. proprietary -gov.noaa.nodc:9600039_Not Applicable Bacterial production, primary production, phytoplankton, zooplankton, biological analysis of fish, and massive fish length data from the EVRIKA and other platforms in the Antarctic from 23 February 1980 to 09 December 1988 (NCEI Accession 9600039) NOAA_NCEI STAC Catalog 1980-02-23 1988-12-09 -62.76, -63.98, -31.83, -50 https://cmr.earthdata.nasa.gov/search/concepts/C2089387013-NOAA_NCEI.umm_json Bacterial production, primary production, phytoplankton, zooplankton, biological analysis of fish, and massive fish length data were collected from the EVRIKA and other platforms in the Antarctic. Data were collected by the Atlantic Research Institute of Fishing Economy and Ocean from 23 February 1980 to 09 December 1988. proprietary -gov.noaa.nodc:9600065_Not Applicable BAROMETRIC PRESSURE and Other Data from THOMAS G. THOMPSON and Other Platforms From TOGA Area - Pacific (30 N to 30 S) from 1992-10-13 to 1992-12-13 (NCEI Accession 9600065) NOAA_NCEI STAC Catalog 1992-10-13 1992-12-13 -149.389635, -17.193678, -134.31313, 12.067383 https://cmr.earthdata.nasa.gov/search/concepts/C2089387122-NOAA_NCEI.umm_json The data in this accession was collected as part of Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) in TOGA Area - Pacific (30 N to 30 S) using Ship THOMAS G. THOMPSON. CTD Data were collected by University of Washington, Seattle, WA between October 13, 1992 and December 13, 1992. Five Files of CTD data were submitted by Dr. Wilford Gardner. Good documentation accompanies this data. proprietary -gov.noaa.nodc:9600140_Not Applicable BAROMETRIC PRESSURE and Other Data from NOAA Ship ALBATROSS IV and Other Platforms From NW Atlantic (limit-40 W) from 1995-02-11 to 1995-07-20 (NCEI Accession 9600140) NOAA_NCEI STAC Catalog 1995-02-11 1995-07-20 -69.237, 40.413, -65.647, 42.335 https://cmr.earthdata.nasa.gov/search/concepts/C2089387550-NOAA_NCEI.umm_json Hydrochemical, hydrophysical, and other data were collected from the ENDEAVOR and NOAA Ship ALBATROSS IV from February 11, 1995 to July 20, 1995. Data were submitted by Dr. David Mountain from the US DOC; NOAA; NATIONAL MARINE FISHERIES SERVICE - WOODS HOLE. These data were collected using meteorological sensors, secchi disks, transmissometers, bottle casts, and CTD casts in the Northwest Atlantic Ocean. proprietary -gov.noaa.nodc:9600151_Not Applicable ABSORPTION, SCATTERING, ATTENUATION COEFFICIENTS and Other Data from SATELLITE From World-Wide Distribution from 1992-11-01 to 1993-02-28 (NCEI Accession 9600151) NOAA_NCEI STAC Catalog 1992-11-01 1993-02-28 140, -10, 180, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2089387603-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9700022_Not Applicable Chemical and temperature profile data from CTD casts in the East China Sea, Sea of Japan, and North Pacific Ocean (NCEI Accession 9700022) NOAA_NCEI STAC Catalog 123.066667, 3, 147.033333, 45.583333 https://cmr.earthdata.nasa.gov/search/concepts/C2089387774-NOAA_NCEI.umm_json Chemical and temperature profile data were collected from CTD casts in the East China Sea, Sea of Japan, and North Pacific Ocean. Data were submitted by the Japan Meteorological Agency (JMA). proprietary -gov.noaa.nodc:9700025_Not Applicable Chemical, physical, and other data collected using fluorometer, laboratory analysis, visual analysis, and bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1994-01-21 to 1996-04-30 (NCEI Accession 9700025) NOAA_NCEI STAC Catalog 1994-01-21 1996-04-30 -124.3, 29.9, -117.3, 35.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089387805-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 21, 1994 to April 30, 1996. Data were collected using fluorometer, laboratory analysis, visual analysis, and bottle casts in the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:9700040_Not Applicable Chemical, physical, and other data collected using bottle casts from NOAA Ship DAVID STARR JORDAN and NEW HORIZON as part of the California Cooperative Fisheries Investigation (CALCOFI) project, from 1995-01-04 to 1996-05-03 (NCEI Accession 9700040) NOAA_NCEI STAC Catalog 1995-01-04 1996-05-03 -124.326667, 30.16, -117.303333, 35.09 https://cmr.earthdata.nasa.gov/search/concepts/C2089387897-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN and NEW HORIZON from January 4, 1995 to May 3, 1996. Data were collected using bottle casts from the Northeast Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:9700063_Not Applicable AIR PRESSURE and Other Data from NOODIN From Great Lakes from 1995-06-20 to 1996-11-14 (NCEI Accession 9700063) NOAA_NCEI STAC Catalog 1995-06-20 1996-11-14 -91.7, 47, -91.7, 47 https://cmr.earthdata.nasa.gov/search/concepts/C2089388236-NOAA_NCEI.umm_json Conductivity, temperature, depth, pressure, transmissivity, and fluorsecence were collected from the NOODIN from June 20, 1995 to October 26, 1995 and May 30, 1996 to November 14, 1996. Data were submitted by Dr. Elise A. Ralph from the University of Minnesota; Large Lakes Observatory. These data were collected using transmissometer, fluorometer, and CTD casts in the Two Harbors, MN to Port Wing, WI on the Lake Superior. proprietary -gov.noaa.nodc:9700115_Not Applicable Chemical and temperature profile data from bottle and CTD casts in the Pacific Ocean as part of the Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) project, from 1992-03-19 to 1992-10-21 (NCEI Accession 9700115) NOAA_NCEI STAC Catalog 1992-03-19 1992-10-21 -145.489, -12, -134.9117, 12.0317 https://cmr.earthdata.nasa.gov/search/concepts/C2089388395-NOAA_NCEI.umm_json Chemical and temperature profile data were collected using bottle and CTD casts from the THOMAS THOMPSON in the Pacific Ocean from March 19, 1992 to October 21, 1992. Data were collected three different universities and a institution; Oregon State University, University of Washington, Woods Hole Oceanographic Institution, and University of Maryland; Horn Point Environmental Laboratory as part of the Joint Global Ocean Flux Study/Equatorial Pacific Basin Study (JGOFS/EQPAC) project. proprietary -gov.noaa.nodc:9700116_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From TOGA Area - Pacific (30 N to 30 S) from 1992-03-19 to 1992-10-21 (NCEI Accession 9700116) NOAA_NCEI STAC Catalog 1992-03-19 1992-10-21 -145, -12, -140, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2089388417-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9700205_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1992-02-02 to 1992-10-21 (NCEI Accession 9700205) NOAA_NCEI STAC Catalog 1992-02-02 1992-10-21 -146.293, -12.864, -104.392, 2.999 https://cmr.earthdata.nasa.gov/search/concepts/C2089388823-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9700207_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-04 to 1992-09-12 (NCEI Accession 9700207) NOAA_NCEI STAC Catalog 1992-02-04 1992-09-12 -140.865, -12.1793, -134.7875, 12.0317 https://cmr.earthdata.nasa.gov/search/concepts/C2089388838-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9700208_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-08 to 1992-09-14 (NCEI Accession 9700208) NOAA_NCEI STAC Catalog 1992-02-08 1992-09-14 -140.9418, -12.035, -134.953, 8.9933 https://cmr.earthdata.nasa.gov/search/concepts/C2089388854-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9700210_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1992-02-04 to 1992-09-10 (NCEI Accession 9700210) NOAA_NCEI STAC Catalog 1992-02-04 1992-09-10 -140.0498, -12.0082, -134.9867, 12.0133 https://cmr.earthdata.nasa.gov/search/concepts/C2089388862-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9700238_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1995-11-13 to 1995-11-14 (NCEI Accession 9700238) NOAA_NCEI STAC Catalog 1995-11-13 1995-11-14 -64.66, 10.5, -64.66, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089385008-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800027_Not Applicable BAROMETRIC PRESSURE and Other Data from LITTLE DIPPER from 1995-03-01 to 1998-02-06 (NCEI Accession 9800027) NOAA_NCEI STAC Catalog 1995-03-01 1998-02-06 -149.5, 59.8, -149.4, 60 https://cmr.earthdata.nasa.gov/search/concepts/C2089385859-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800037_Not Applicable Chemical, temperature, pressure, and salinity data from bottle and CTD casts in the Arabian Sea as part of the Joint Global Ocean Flux Study / Arabian Sea Process Studies (JGOFS/Arabian) project, from 1995-07-17 to 1995-09-15 (NCEI Accession 9800037) NOAA_NCEI STAC Catalog 1995-07-17 1995-09-15 57.2998, 9.9113, 68.751, 22.527 https://cmr.earthdata.nasa.gov/search/concepts/C2089385946-NOAA_NCEI.umm_json Chemical, temperature, pressure, and salinity data were collected using bottle and CTD casts from the R/V Thomas G. Thompson in the Arabian Sea. Data were collected from July 17, 1995 to September 15, 1995. Data were collected by four different institution; Old Dominion University, Bermuda Biological Station for Research, Virginia Institute of Marine Science, and Woods Hole Oceanographic Institution as part of the Joint Global Ocean Flux Study / Arabian Sea Process Studies (JGOFS/Arabian) project. proprietary -gov.noaa.nodc:9800052_Not Applicable BENTHIC SPECIES and Other Data from UNKNOWN and Other Platforms from 1989-01-01 to 1997-12-31 (NCEI Accession 9800052) NOAA_NCEI STAC Catalog 1989-01-01 1997-12-31 -123.6, 47.1, -122.4, 49 https://cmr.earthdata.nasa.gov/search/concepts/C2089386070-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800085_Not Applicable AIR PRESSURE and Other Data from THOMAS G. THOMPSON from 1995-01-09 to 1995-12-28 (NCEI Accession 9800085) NOAA_NCEI STAC Catalog 1995-01-09 1995-12-28 56.5, 9.9, 68.8, 24.1 https://cmr.earthdata.nasa.gov/search/concepts/C2089386309-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800092_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from USS CHAUMONT from 1995-01-09 to 1995-12-26 (NCEI Accession 9800092) NOAA_NCEI STAC Catalog 1995-01-09 1995-12-26 57.3, 9.3, 68.8, 22.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386381-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800095_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON from 1995-01-08 to 1995-09-12 (NCEI Accession 9800095) NOAA_NCEI STAC Catalog 1995-01-08 1995-09-12 57.3, 10, 68.8, 22.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089386411-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800118_Not Applicable Chemical, physical, and other data collected using bottle casts from NOAA Ship DAVID STARR JORDAN, ROGER REVILLE, and NEW HORIZON as part of the California Cooperative Fisheries Investigation from 1996-08-07 to 1997-04-19 (NCEI Accession 9800118) NOAA_NCEI STAC Catalog 1996-08-07 1997-04-19 -124.3, 29.8, -117.3, 35.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386498-NOAA_NCEI.umm_json Chemical, physical, and other data were collected from NOAA Ship DAVID STARR JORDAN, ROGER REVILLE, and NEW HORIZON from August 7, 1996 to April 19, 1997. Data were collected using bottle casts in the Pacific Ocean. Data were submitted by Scripps Institution of Oceanography (SIO) as part of the California Cooperative Fisheries Investigation (CALCOFI) project. proprietary -gov.noaa.nodc:9800119_Not Applicable BAROMETRIC PRESSURE and Other Data from ALPHA HELIX from 1997-10-10 to 1998-05-14 (NCEI Accession 9800119) NOAA_NCEI STAC Catalog 1997-10-10 1998-05-14 -149.5, 57.8, -147.1, 60.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089386507-NOAA_NCEI.umm_json Hydrophysical, hydrochemical, and other data were collected from CTD casts in the Gulf of Alaska from the R/V Alpha Helix from 10 October 1997 to 14 May 1998. Data were collected as part of GLOBal oceans ECosystems Dynamics Research (GLOBEC) project. Data include profiles of temperature, salinity, sigma-theta, deltas, oxygen concentration, and fluorescence. proprietary -gov.noaa.nodc:9800123_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1988-11-27 to 1998-07-22 (NCEI Accession 9800123) NOAA_NCEI STAC Catalog 1988-11-27 1998-07-22 -124.1, 44.8, -124.1, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089386555-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9800129_Not Applicable Chemical, zooplankton, and phytoplankton data from CTD and other instruments in the Mississippi River and Gulf of Mexico as part of the Nutrient Enhanced Coastal Ocean Productivity (NECOP) project, from 1985-07-15 to 1993-05-12 (NCEI Accession 9800129) NOAA_NCEI STAC Catalog 1985-07-15 1993-05-12 -90.28, 28.52, -89.41, 29.7 https://cmr.earthdata.nasa.gov/search/concepts/C2089386593-NOAA_NCEI.umm_json Chemical, zooplankton, and phytoplankton data were collected using bottle, CTD, fluorometer, oxygen meter, GPS, plankton trap, and sediment sampler from NOAA Ship MALCOLM BALDRIGE and NOAA Ship RESEARCHER. Data were collected from the Mississippi River and Gulf of Mexico from July 15, 1985 to May 12, 1993. Data were submitted by Dr. Nancy Rabalais from the Louisiana Universities Marine Consortium as part of the Nutrient Enhanced Coastal Ocean Productivity (NECOP) project. proprietary -gov.noaa.nodc:9800160_Not Applicable Chemical data collected from THOMAS G. THOMPSON using CTD and bottle casts in Arabian Sea from 1995-03-07 to 1995-08-15 (NCEI Accession 9800160) NOAA_NCEI STAC Catalog 1995-03-07 1995-08-15 57, 9, 68, 22 https://cmr.earthdata.nasa.gov/search/concepts/C2089386883-NOAA_NCEI.umm_json Chemical data were collected using CTD and bottle casts in the Arabian Sea from THOMAS G. THOMPSON. Data were collected from 07 March 1995 to 15 August 1995 by Lamont-Doherty Earth Observatory with support from the U.S. Joint Global Ocean Flux Study / Arabian Sea Process Studies (JOGFS/Arabian Sea) project. proprietary -gov.noaa.nodc:9800161_Not Applicable Chemical data collected from THOMAS G. THOMPSON using CTD and bottle casts in Arabian Sea from 1995-01-08 to 1995-11-26 (NCEI Accession 9800161) NOAA_NCEI STAC Catalog 1995-01-08 1995-11-26 56, 9, 68, 23 https://cmr.earthdata.nasa.gov/search/concepts/C2089386911-NOAA_NCEI.umm_json Chemical data were collected using CTD and bottle casts in the Arabian Sea from THOMAS G. THOMPSON. Data were collected from 08 January 1995 to 26 November 1995 by Harvard University with support from the U.S. Joint Global Ocean Flux Study / Arabian Sea Process Studies (JOGFS/Arabian Sea) project. proprietary -gov.noaa.nodc:9800197_Not Applicable Algal species and other data collected using photographs in the southern coast of the island of Ofu from 1992-09-08 to 1992-09-11 (NCEI Accession 9800197) NOAA_NCEI STAC Catalog 1992-09-08 1992-09-11 -169.7, -14.2, -169.7, -14.2 https://cmr.earthdata.nasa.gov/search/concepts/C2089387161-NOAA_NCEI.umm_json The US Congress has authorized the Department of the Interior to enter into a lease agreement with the Governor of American Samoa to establish the National Park of American Samoa. This park would include a nearshore reef along the southern coast of the island of Ofu. This fringing reef on Ofu provides a natural lagoon habitat which is uncommon in American Samoa. This area supports a local subsistence fishery and provides excellent opportunities for diving and snorkeling. A survey of the nearshore reefs in the area of the proposed national park at Ofu was conducted between 7-12 September, 1992. The goals of the survey were to: 1) collect baseline data on the current status of the reefs and reef resources in the area, 2) to establish long-term monitoring stations to enable documentation of the health of the reef communities through time, and 3) to contribute information to a comprehensive coastal resource survey of Tutuila and the Manua Islands. The overall purpose of the work was to design and implement the biotic component of a reef monitoring program for the areas within and adjacent to the proposed national park site. proprietary -gov.noaa.nodc:9800199_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1996-07-09 to 1997-07-09 (NCEI Accession 9800199) NOAA_NCEI STAC Catalog 1996-07-09 1997-07-09 -64.7, 10.5, -64.7, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387176-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900010_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From Arabian Sea from 1995-03-18 to 1997-08-13 (NCEI Accession 9900010) NOAA_NCEI STAC Catalog 1995-03-18 1997-08-13 56.5, 10, 68.8, 24.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387251-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900014_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from THOMAS G. THOMPSON From Arabian Sea from 1995-01-09 to 1995-09-12 (NCEI Accession 9900014) NOAA_NCEI STAC Catalog 1995-01-09 1995-09-12 57.3, 10, 68.8, 22.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089387273-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900015_Not Applicable CARBON DIOXIDE - PARTIAL PRESSURE (pCO2) - SEA and Other Data from NOAA Ship DISCOVERER and Other Platforms from 1987-05-19 to 1994-01-07 (NCEI Accession 9900015) NOAA_NCEI STAC Catalog 1987-05-19 1994-01-07 -179.9, -70.3, 179.9, 54.9 https://cmr.earthdata.nasa.gov/search/concepts/C2089387289-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900022_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM and Other Platforms from 1998-08-01 to 1998-12-31 (NCEI Accession 9900022) NOAA_NCEI STAC Catalog 1998-08-01 1998-12-31 -124.1, 44.6, -124, 44.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089387361-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900054_Not Applicable Algal species and other data collected using photographs in the South Pacific Ocean from 1992-01-02 to 1992-12-31 (NCEI Accession 9900054) NOAA_NCEI STAC Catalog 1992-01-02 1992-12-31 -170.8, -14.4, -170.6, -14.3 https://cmr.earthdata.nasa.gov/search/concepts/C2089387610-NOAA_NCEI.umm_json Data from a 1992 survey of the American Samoa coral reef ecosystem was received from Dr. Barry Smith of the University of Guam. The digital files replace a paper report submitted to NODC in Fall 1998. This study was part of the American Samoa Coastal Resources Inventory (ASCRI), partly funded by Sea Grant. His component of the study focuses on a systematic inventory of conspicuous marine macro-invertebrates observations. proprietary -gov.noaa.nodc:9900094_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-01-01 to 1999-04-29 (NCEI Accession 9900094) NOAA_NCEI STAC Catalog 1999-01-01 1999-04-29 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089387865-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900119_Not Applicable AIR PRESSURE and Other Data from FIXED PLATFORM from 1999-05-01 to 1999-06-30 (NCEI Accession 9900119) NOAA_NCEI STAC Catalog 1999-05-01 1999-06-30 -124, 44.6, -124, 44.6 https://cmr.earthdata.nasa.gov/search/concepts/C2089388259-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900158_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from OCEANUS and Other Platforms from 1993-03-12 to 1993-03-23 (NCEI Accession 9900158) NOAA_NCEI STAC Catalog 1993-03-12 1993-03-23 -67.2, 31.7, -64.1, 36.8 https://cmr.earthdata.nasa.gov/search/concepts/C2089388472-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900159_Not Applicable 1999 Field Season CTD, chlorophyll A and transmissivity data from the CRETM and LMER Projects in the Columbia River and Frasier River estuaries, 19990616 to 19990718 (NCEI Accession 9900159) NOAA_NCEI STAC Catalog 1999-06-16 1999-07-18 -124, 45, -122, 49.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388479-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900164_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from NATHANIEL B. PALMER from 1996-10-08 to 1997-05-05 (NCEI Accession 9900164) NOAA_NCEI STAC Catalog 1996-10-08 1997-05-05 168.9, -78, -175.9, -74 https://cmr.earthdata.nasa.gov/search/concepts/C2089388517-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900202_Not Applicable BACTERIA - BACTERIAL DENSITY and Other Data from HERMANO GINES from 1995-11-13 to 1997-11-14 (NCEI Accession 9900202) NOAA_NCEI STAC Catalog 1995-11-13 1997-11-14 -64.7, 10.5, -64.7, 10.5 https://cmr.earthdata.nasa.gov/search/concepts/C2089388797-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:9900218_Not Applicable CAS (CHEMICAL ABSTRACTS SOCIETY) PARAMETER CODES and Other Data from NATHANIEL B. PALMER from 1996-10-18 to 1997-02-08 (NCEI Accession 9900218) NOAA_NCEI STAC Catalog 1996-10-18 1997-02-08 169, -78, -176, -76.4 https://cmr.earthdata.nasa.gov/search/concepts/C2089388860-NOAA_NCEI.umm_json Not provided proprietary -gov.noaa.nodc:AVHRR_Pathfinder-NODC-v5.0_v5.1-climatologies_Not Applicable AVHRR Pathfinder version 5.0 and 5.1 global 4km sea surface temperature (SST) daily, 5-day, and monthly harmonic climatologies for 1982-2008 NOAA_NCEI STAC Catalog 1982-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2089385724-NOAA_NCEI.umm_json This dataset contains global, 4km daily, 5-day, and monthly sea surface temperature climatologies derived from harmonic analysis of the AVHRR Pathfinder Version 5.0 and 5.1 sea surface temperature time series data for 1982-2008. The daily climatology is available as 366 separate files, each representing one day in a climatological year. The 5-day climatology is available as 73 separate files, each representing a 'pentad,' or 5-day period, in a climatological year. The monthly climatology is available as 12 separate files, each representing one month in a climatological year. The files are in netCDF-4 and fully comply with the GHRSST Data Specification 2.0 for Level 4 products. In addition to climatological sea surface temperature, each file contains standard deviation, sea ice concentration, sea ice concentration error, and land mask information. This accession also includes 'classic', or mean, daily, 5-day, and monthly sea surface temperature climatologies derived from the same Pathfinder time series data. These climatologies were used to gap-fill the harmonic climatologies, and provided the standard deviation information. In some ice-dominated high-latitude areas, the harmonic climatology is poorly constrained due to uneven distribution throughout the year of the valid measurements. For example, at 67.5S, 73W near the Antarctic coast, temperatures estimated in the harmonic climatology reach almost 40C. In these regions, the classic, averaged climatological values may be more reliable. proprietary -gov.noaa.nodc:BCO-DMO_Not Applicable Biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research managed and submitted by the Biological and Chemical Oceanography Data Management Office (BCO-DMO) NOAA_NCEI STAC Catalog 1993-05-22 2006-12-02 -172.99, -78.652, 113.3667, 76.1552 https://cmr.earthdata.nasa.gov/search/concepts/C2089385799-NOAA_NCEI.umm_json This data set is a collection of biological, chemical, physical, biogeochemical, ecological, environmental and other data collected from around the world during historical and contemporary periods of biological and chemical oceanographic exploration and research provided by the Biological and Chemical Oceanography Data Management Office (BCO-DMO). The BCO-DMO was created to serve Principal Investigators (PIs) funded by the National Science Foundation (NSF) Biological and Chemical Oceanography Sections as a location where marine biogeochemical and ecological data and information developed in the course of scientific research can easily be disseminated, protected, and stored for short and intermediate time-frames. The main objective of the BCO-DMO is to support the scientific community through improved accessibility to ocean science data. The BCO-DMO manages existing and new data sets from individual scientific investigators and collaborative groups of investigators, and makes these available via a web portal. proprietary gov.noaa.nodc:GHRSST-ABI_G17-STAR-L2P_2.71 GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset (GDS version 2) GHRSSTCWIC STAC Catalog 2019-10-16 -135, -59, -15, 59 https://cmr.earthdata.nasa.gov/search/concepts/C2213638053-GHRSSTCWIC.umm_json GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L2P/GOES17/STAR/nav. The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is also available. proprietary gov.noaa.nodc:GHRSST-ABI_G17-STAR-L3C_2.71 GHRSST NOAA/STAR GOES-17 ABI L3C America Region SST v2.71 dataset (GDS version 2) GHRSSTCWIC STAC Catalog 2019-10-16 -135, -59, -15, 59 https://cmr.earthdata.nasa.gov/search/concepts/C2213636950-GHRSSTCWIC.umm_json The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010). proprietary gov.noaa.nodc:GHRSST-AHI_H08-STAR-L2P_2.70 GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset (GDS version 2) GHRSSTCWIC STAC Catalog 2019-10-16 80, -59, -160, 59 https://cmr.earthdata.nasa.gov/search/concepts/C2213637913-GHRSSTCWIC.umm_json Himawari-8 (H08) was launched on 7 October 2014 into its nominal position at 140.7-deg E, and declared operational on 7 July 2015. The Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, and 12.3 um) are suitable for SST. Accurate sensor calibration, image navigation and (co)registration, high spectral fidelity, and sophisticated pre-processing (geo-rectification, radiance equalization, and mapping) offer vastly enhanced capabilities for SST retrievals, over the heritage GOES-I/P and MTSAT-2 Imagers. From altitude 35,800km, H08/AHI maps SST in a Full Disk (FD) area from 80E-160W and 60S-60N, with spatial resolution 2km at nadir to 15km at view zenith angle 67-deg, with a 10-min temporal sampling. The AHI L2P (swath) SST product is derived at the native sensor resolution using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system. ACSPO processes every 10-min FD data, identifies good quality ocean pixels (Petrenko et al., 2010) and derives SST using the four-band (8.4, 10.3, 11.2 and 12.3um) Non-Linear SST (NLSST) regression algorithm (Petrenko et al., 2014), trained against in situ SSTs from drifting and tropical mooring buoys in the NOAA iQuam system (Xu and Ignatov, 2014). The 10-min data are subsequently collated in time, to produce 1-hr L2P product, with improved coverage, and reduced cloud leakages and image noise. The collated L2P reports SSTs and brightness temperatures (BTs) in clear-sky water pixels (defined as ocean, sea, lake or river), and fill values elsewhere. All pixels with valid SSTs are recommended for use. ACSPO files also include sun-sensor geometry, l2p_flags (day/night, land, ice, twilight, and glint flags), and NCEP wind speed. The L2P is reported in NetCDF4 GHRSST Data Specification version 2 (GDS2) format, 24 granules per day, with a total data volume 0.6GB/day. Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L2P/H08/STAR/nav. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). The H08 AHI SSTs and BTs are continuously validated against in situ data in SQUAM (Dash et al, 2010), and RTM simulation in MICROS (Liang and Ignatov, 2011). A reduced size (0.2GB/day), 0.02-deg equal-angle gridded ACSPO L3C product is also available. proprietary @@ -13997,17 +11943,280 @@ gov.noaa.nodc:GHRSST-VIIRS_NPP-JPL-L2P_2016.2 GHRSST Level 2P Global Sea Surface gov.noaa.nodc:GHRSST-VIIRS_NPP-NAVO-L2P_3.0 GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS version 2) GHRSSTCWIC STAC Catalog 2013-06-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2213644303-GHRSSTCWIC.umm_json A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth. The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS, AVHRR and SeaWiFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades. It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates. Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications. proprietary gov.noaa.nodc:GHRSST-VIIRS_SST_NPP_NAR-OSISAF-L3C_1 GHRSST Level 3C North Atlantic Regional (NAR) subskin Sea Surface Temperature from SNPP/VIIRS produced by OSI SAF (GDS version 2) GHRSSTCWIC STAC Catalog 2014-11-04 2020-11-19 -76.02, 13.59, 72.97, 78.24 https://cmr.earthdata.nasa.gov/search/concepts/C2213644305-GHRSSTCWIC.umm_json A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the North Atlantic Region (NAR) based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR and SNPP/VIIRS. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. NAR SNPP/VIIRS level 0 data are acquired through direct readout and converted into l1b at CMS. SST is retrieved from the AVHRR and VIIRS infrared channels using a multispectral algorithm. This product is delivered as four six hourly collated files per day on a regular 2km grid. The product format is compliant with the GHRSST Data Specification (GDS) version 2. proprietary gov.noaa.nodc:GHRSST-WindSat-REMSS-L3U_7.0.1a GHRSST Level 3U Global Subskin Sea Surface Temperature version7.0.1a from the WindSat Polarimetric Radiometer on the Coriolis satellite (GDS version 2) GHRSSTCWIC STAC Catalog 2017-07-30 2020-10-19 -179.99, -39.06, 180, 39.01 https://cmr.earthdata.nasa.gov/search/concepts/C2213644790-GHRSSTCWIC.umm_json "The WindSat Polarimetric Radiometer, launched on January 6, 2003 aboard the Department of Defense Coriolis satellite, was designed to measure the ocean surface wind vector from space. It developed by the Naval Research Laboratory (NRL) Remote Sensing Division and the Naval Center for Space Technology for the U.S. Navy and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Integrated Program Office (IPO). In addition to wind speed and direction, the instrument can also measure sea surface temperature, soil moisture, ice and snow characteristics, water vapor, cloud liquid water, and rain rate. Unlike previous radiometers, the WindSat sensor takes observations during both the forward and aft looking scans. This makes the WindSat geometry of the earth view swath quite different and significantly more complicated to work with than the other passive microwave sensors. The Remote Sensing Systems (RSS, or REMSS) WindSat products are the only dataset available that uses both the fore and aft look directions. By using both directions, a wider swath and more complicated swath geometry is obtained. RSS providers of these SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project, performs a detailed processing of WindSat instrument data in two stages. The first stage produces a near-real-time (NRT) product (identified by ""rt"" within the file name) which is made as available as soon as possible. This is generally within 3 hours of when the data are recorded. Although suitable for many timely uses the NRT products are not intended to be archive quality. ""Final"" data (currently identified by ""v7.0.1a"" within the file name) are processed when RSS receives the atmospheric mode NCEP FNL analysis. The NCEP wind directions are particularly useful for retrieving more accurate SSTs and wind speeds. The final ""v7.0.1a"" products will continue to accumulate new swaths (half orbits) until the maps are full, generally within 7 days. The version with letter ""a"" refers to the file in compliance with GHRSST format." proprietary -gov.noaa.nodc:HIMB-CRAMP_Not Applicable Benthic data, fish surveys and still images from Hawaii Coral Reef Assessment and Monitoring Program (CRAMP) starting 1999-01-05 to present NOAA_NCEI STAC Catalog 1999-01-05 2015-08-05 -178.369427, 19.0425, -154.81, 28.427823 https://cmr.earthdata.nasa.gov/search/concepts/C2089392293-NOAA_NCEI.umm_json This collection consists of Hawaii Coral Reef Assessment and Monitoring Program (CRAMP) surveys and include quantitative estimates of substrate type, rugosity, species type, and percent coverage. Digital still images from transects are also included. The data sets consist of image files (JPEG) of digital still photographs and spreadsheets (XLS with exported redundant CSV copies). CRAMP was created during 1997-98 by leading coral reef researchers, managers and educators in Hawaii. The initial task was to develop a statewide network consisting of over 30 long-term coral reef monitoring sites and an associated database. Upon completion of the monitoring network the focus was expanded to include rapid quantitative assessments and habitat mapping on a statewide spatial scale. Today the emphasis is on using these tools to understand the ecology of Hawaiian coral reefs in relation to other geographic areas. CRAMP study sites, including all areas of concern designated by the State of Hawaii Division of Aquatic Resources (DAR), were selected from throughout the State of Hawaii based on information provided by a wide spectrum of managers, scientists, and educators. These sites represent a full range of reef habitats subjected to various degrees of anthropogenic influences ranging from severely impacted to relatively pristine sites held in conservation status. The West Hawaii Aquarium Project has augmented CRAMP with surveys of fish at CRAMP sites on the west side of the Island of Hawaii. The purpose is to understand the ecology of Hawaiian coral reefs in relation to other geographic areas and to monitor change at each given site. The CRAMP experimental design allows detection of changes that can be attributed to various factors such as: overuse (over-fishing, anchor damage, aquarium trade collection, etc.), sedimentation, nutrient loading, catastrophic natural events (storm wave impact, lava flows), coastal construction, urbanization, global warming (bleaching), introduced species, algal invasions, and fish and invertebrate diseases. proprietary gpcc_precip_monthly_xdeg_995_1 ISLSCP II Global Precipitation Climatology Centre (GPCC) Monthly Precipitation ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784898435-ORNL_CLOUD.umm_json The Global Precipitation Climatology Centre (GPCC), which is operated by the Deutscher Wetterdienst (National Meteorological Service of Germany), is a component of the Global Precipitation Climatology Project (GPCP) with the main emphasis on the treatment of the global in-situ observations. The GPCC simultaneously contributes to the Global Climate Observing System (GCOS) and other international research and climate monitoring projects. This rain gauge-only data set was acquired from GPCC and resampled to 0.5 degree grid boxes for use in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II. The GPCC collects precipitation data which are locally observed at rain gauge stations and distributed as CLIMAT and SYNOP reports via the Global Telecommunication System of the World Weather Watch (GTS) of the World Meteorological Organization (WMO). The Centre acquires additional monthly precipitation data from meteorological and hydrological networks which are operated by national services. proprietary gpcp_precip_monthly_xdeg_1003_1 ISLSCP II Global Precipitation Climatology Project Version 2, Monthly Precipitation ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785267282-ORNL_CLOUD.umm_json The Global Precipitation Climatology Project (GPCP) Version 2 data set includes global, monthly precipitation rates and associated random errors (RMSE), and a monthly precipitation climatology derived as an average from all GPCP data sets from January 1979 to December 1999. The data are derived from measured gauge data and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set: the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data re-gridded to a 1 degree spatial resolution by the ISLSCP II staff.and merged with satellite estimates of rainfall. This is a portion of the version 2 GPCP data sets and covers the ISLSCP II period from 1986 to 1995. There are six data files included with this data set: the original precipitation rates, errors and climatology at 2.5 degrees spatial resolution, and the same data re-gridded to a 1 degree spatial resolution by the ISLSCP II staff. proprietary gpcp_precip_pentad_xdeg_1002_1 ISLSCP II Global Precipitation Climatology Project Version 1, Pentad Precipitation ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784899581-ORNL_CLOUD.umm_json The Global Precipitation Climatology Project (GPCP) pentad version 1 precipitation data set includes global precipitation rates for 5-day, or pentad, periods. The data sets are derived from measured rain gauge data and merged with satellite estimates of rainfall. This is a portion of the version 1 GPCP pentad data set and covers the ISLSCP II period from 1986 to 1995. The original precipitation rates at 2.5 degrees were re-gridded to a 1 degree spatial resolution by the ISLSCP II staff. proprietary +gpm2dc3vp_1 GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) C3VP V1 GHRC_DAAC STAC Catalog 2006-12-02 2007-04-09 -79.7906, 44.2232, -79.7706, 44.2432 https://cmr.earthdata.nasa.gov/search/concepts/C1995569530-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) C3VP dataset consists of snowfall data collected by the Two-Dimensional Video Disdrometer (2DVD) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The 2DVD measures precipitation characteristics such as size, shape, and velocity. During C3VP, there was one 2DVD instrument deployed at the Meteorological Service of Canada (MSC) operated Centre for Atmospheric Research Experiments (CARE) facility in Ontario, Canada. The data include diameter, volume, and fall speed information for individual snowflakes. The dataset files are available in ASCII text format from December 2, 2006 through April 9, 2007. proprietary +gpm2dgcpex_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) GCPEX V1 GHRC_DAAC STAC Catalog 2011-10-27 2012-02-27 -79.93, 44.1765, -79.64, 44.6862 https://cmr.earthdata.nasa.gov/search/concepts/C1979122157-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) GCPEX dataset was collected by the Two-Dimensional Video Disdrometer (2DVD) data, which was collected during the GPM Cold-season Precipitation Experiment (GCPEx) held in Ontario, Canada. GCPeX occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow.Collected from six sites, the data contains daily ascii files with information on individual snowflakes and hydrometeors, and binary files preprocessed from raw camera data. Overall data dates range from 27 October 2011 through 27 February 2012 depending on the specific site. proprietary +gpm2dhymex_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) HYMEX V1 GHRC_DAAC STAC Catalog 2012-09-12 2012-11-13 4.0975, 41.8936, 12.4938, 44.1372 https://cmr.earthdata.nasa.gov/search/concepts/C1979122485-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) HyMeX data was collected during the HYdrological cycle in Mediterranean EXperiment (HyMeX), which provided data on raindrop size and precipitation drop size distribution. The 2DVD measured the size of raindrops and also recorded two side view optical images of each raindrop. Used for in situ measurements of precipitation drop size distribution, this instrument recorded orthogonal image projections of raindrops as they crossed its sensing area and provided velocity and shape of individual raindrops.The HyMeX 2DVD data were collected in France and Italy from September 12, 2012 to November 12, 2012. The data are in ASCII format. proprietary +gpm2difld_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) IFLOODS V1 GHRC_DAAC STAC Catalog 2013-04-03 2013-06-18 -92.4636, 41.6407, -91.5417, 42.2388 https://cmr.earthdata.nasa.gov/search/concepts/C1979122689-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) IFloodS dataset was collected during the GPM Ground Validation Iowa Flood Studies (IFLoodS) field campaign in central-northeastern Iowa in 2013. This campaign aimed to improve satellite precipitation measurements for flood prediction by using ground measurements to improve satellite retrieval algorithms. The Two-Dimensional Video Disdrometer (2DVD), developed by Joanneum Research (Graz, Austria), measures raindrop characteristics such as size distribution, shape, and velocity. The 2DVD IFloodS data was collected from 6 sites from April 3, 2013 to June 18, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the 2DVD instruments were installed and calibrated prior to the start, allowing for the wider period of record. The dataset contains daily ASCII files that include measurements for various precipitation parameters. proprietary +gpm2diphx_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) IPHEX V1 GHRC_DAAC STAC Catalog 2014-04-23 2014-06-17 -83.0948, 35.2266, -82.0565, 35.5858 https://cmr.earthdata.nasa.gov/search/concepts/C1979123144-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) IPHEx dataset was collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. Collected from five sites, the data contains daily ASCII files with information on individual hydrometeors including the number of hydrometeors, raindrop size distribution, and particle concentration. Overall data dates range from April 23, 2014 through June 17, 2014; exact dates may vary per site. proprietary +gpm2dlpvex_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) LPVEX V1 GHRC_DAAC STAC Catalog 2010-09-15 2010-10-20 24.9749, 60.1045, 25.6247, 60.4846 https://cmr.earthdata.nasa.gov/search/concepts/C1979123518-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) LPVEx dataset was collected during the Light Precipitation Evaluation Experiment (LPVEx), which took place in September and October 2010 in the Gulf of Finland. The experiment aimed to characterize the ability of CloudSat, the Global Precipitation Mission (GPM) Dual-frequency Precipitation Radar (DPR), and existing/planned passive microwave (PMW) sensors, such as the GPM microwave imager (GMI), to detect light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm. proprietary +gpm2dmc3e_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) MC3E V1 GHRC_DAAC STAC Catalog 2011-04-21 2011-06-06 -97.5323, 36.5784, -97.4447, 36.6334 https://cmr.earthdata.nasa.gov/search/concepts/C1979123780-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which provides data on raindrop size and precipitation drop size distribution. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. proprietary +gpm2dnsstc_1 GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) NSSTC V1 GHRC_DAAC STAC Catalog 2009-11-20 2011-10-13 -86.6419, 34.7233, -86.6419, 34.7233 https://cmr.earthdata.nasa.gov/search/concepts/C1979124928-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) NSSTC dataset was collected by the Two-Dimensional Video Disdrometer (2DVD), which uses two high speed line scan cameras which provide continuous measurements of size distribution, shape and fall velocities of all precipitation particles and types. This 2DVD is the third generation 2D video disdrometer designed by Joanneum Research of Graz, Austria. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC) in Hunstville, AL. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns. proprietary +gpm2dvdolyx_1 GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-10-31 2016-01-17 -123.993, 47.36, -123.812, 47.514 https://cmr.earthdata.nasa.gov/search/concepts/C1979125379-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) OLYMPEX dataset contains information on individual hydrometeors including their size distribution, terminal fall speed, and total concentration collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Two-Dimensional Video Disdrometer (2DVD) data were collected from four sites during the campaign. The dataset files are available from October 31, 2015 through January 17, 2016 (though the exact dates may vary per site) in ASCII-tsv format. proprietary +gpm2dwff2_2 GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) WFF V2 GHRC_DAAC STAC Catalog 2013-07-24 2015-10-05 -75.4781, 37.9289, -75.4572, 37.9442 https://cmr.earthdata.nasa.gov/search/concepts/C1979125920-GHRC_DAAC.umm_json The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) WFF data were collected during the Global Precipitation Mission (GPM) Ground Validation (GV) campaign at the NASA Wallops Flight Facility (WFF) in Wallops Island, Virginia. These data consist of the size, equivalent diameter, fall speed, oblateness, cross-sectional area of raindrops, particle concentration, total number of drops, total drop concentration, liquid water content, rain rate, reflectivity, and rain event characteristics. The data are in ASCII format and available from July 24, 2013 through October 5, 2015. proprietary +gpmadmirgcpex_1 GPM GROUND VALIDATION ADVANCED MICROWAVE RADIOMETER RAIN IDENTIFICATION (ADMIRARI) GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-14 2012-02-29 -79.82, 44.18, -79.73, 44.29 https://cmr.earthdata.nasa.gov/search/concepts/C1979126099-GHRC_DAAC.umm_json The GPM Ground Validation Advanced Microwave Radiometer Rain Identification (ADMIRARI) GCPEx dataset measures brightness temperature at three frequencies (10.7, 21.0 and 36.5 GHz) and at two polarized planes (H & V). The ADMIRIRI retrieval typically provides rain/cloud liquid water path (LWP) and integrated water vapor, and for low water content cases it provides the total LWP and integrated water vapor. The ADMIRARI is a scanning radiometer like its auxiliary active instruments, which include a Micro Rain Radar (MRR) and a cloud lidar, which provide reflectivity profiles and cloud base altitude at the same scanning angle as the ADMIRIRI. This data was collected during the GPM Cold-season Precipitation Experiment (GCPEx) located in Ontario, Canada, January 14, 2012 through February 29, 2012. Reference: http://www2.meteo.uni-bonn.de/admirari. proprietary +gpmahdmetolyx_1 GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-13 2016-01-17 -123.48, 48.37, -123.46, 48.39 https://cmr.earthdata.nasa.gov/search/concepts/C1980046643-GHRC_DAAC.umm_json The GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX dataset consists of precipitation rate, reflectivity, pressure, temperature, relative humidity, wind speed, and wind direction data which were measured by the MET station instruments operated by the Environment and Climate Change Canada (ECCC) and located in Albert Head, B.C., Canada. The MET station was comprised of a Vaisala FD12P Visibility Sensor, an OTT Parsivel2 Present Weather Sensor, an OTT Pluvio2 Precipitation Gauge, and a Vaisala WXT520 Weather Transmitter. The MET Station was also co-located with a CAX-1 radar to compare measurements from the MET station with the radar scans. These MET Station data files are available from November 13, 2015 through January 17, 2016 in ASCII-CSV and XML formats, with daily browse images of precipitation rate plots in PNG format. proprietary +gpmampriphx2_2 GPM GROUND VALIDATION ADVANCED MICROWAVE PRECIPITATION RADIOMETER (AMPR) IPHEX V2 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-14 -87.1608, 29.957, -71.1657, 39.0117 https://cmr.earthdata.nasa.gov/search/concepts/C1979126358-GHRC_DAAC.umm_json The GPM Ground Validation Advanced Microwave Precipitation Radiometer (AMPR) IPHEx dataset was acquired by the AMPR instrument flown aboard the high altitude ER-2 aircraft during the IPHEx field campaign in North Carolina from May 1, 2014 through June 14, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. These files include the Level 2B calibrated and georeferenced brightness temperature for the four AMPR-observed frequencies (10, 19, 37, 85 GHz). These data are archived in a netCDF-4 format that contains the calibrated brightness temperatures in addition to ER-2 aircraft navigation and instrument scene georectification variables. Corresponding browse imagery are also available in JPG format. A set of Python software has been developed for reading, plotting, and providing some additional analysis capabilities. proprietary +gpmamprmc3e_1 GPM GROUND VALIDATION ADVANCED MICROWAVE PRECIPITATION RADIOMETER (AMPR) MC3E V1 GHRC_DAAC STAC Catalog 2011-04-25 2011-06-01 -105.64, 27.8598, -91.3954, 42.4929 https://cmr.earthdata.nasa.gov/search/concepts/C1979126507-GHRC_DAAC.umm_json The GPM Ground Validation Advanced Microwave Precipitaiton Radiometer (AMPR) MC3E dataset was collected by the Advanced Microwave Precipitation Radiometer (AMPR) instrument, which played a key role in the Midlatitude Continental Convective Clouds Experiment (MC3E). The AMPR remotely sensed passive microwave signatures of geophysical parameters from an airborne platform. The instrument is a low noise system which provided multi-frequency microwave imagery with high spatial and temporal resolution. AMPR data were collected at a combination of four microwave frequencies (10.7, 19.35, 37.1, and 85.5 GHz) with two orientations each (Vpol-to-Hpol and Hpol-to-Vpol), which were complimentary to current aircraft and satellite instrumentation. These frequencies are best suited to the study of rain systems, but were also useful to studies of other atmospheric, oceanic, and land surface processes. proprietary +gpmamprolyx_1 GPM Ground Validation Advanced Microwave Precipitation Radiometer (AMPR) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-09 2015-12-15 -130.947, 33.7591, -117.287, 50.0166 https://cmr.earthdata.nasa.gov/search/concepts/C1979126614-GHRC_DAAC.umm_json The GPM Ground Validation Advanced Microwave Precipitation Radiometer (AMPR) OLYMPEX dataset was collected by the AMPR instrument flown on the high altitude ER-2 research aircraft from November 9 - December 15, 2015, during the Olympic Mountains Experiment (OLYMPEX) field campaign conducted at Washington State’s Olympic Peninsula. AMPR is an airborne passive microwave radiometer from which cloud, precipitation, water vapor, wind speed and wind direction can be obtained using advanced algorithms with the 10.7, 19.35, 37.1, and 85.5 GHz microwave frequency brightness temperatures measured by AMPR. The primary goal of OLYMPEX was to validate rain and snow measurements in midlatitude frontal systems moving from ocean to coast to mountains. AMPR data at the Global Hydrology Resource Center (GHRC) DAAC include netCDF format data files of brightness temperature and PNG browse files of Quality Control Flags and Brightness Temperatures. proprietary +gpmapr2gcpex_1 GPM GROUND VALIDATION AIRBORNE SECOND GENERATION PRECIPITATION RADAR (APR-2) GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-19 2012-02-25 -83.9978, 41.1551, -69.9619, 45.8472 https://cmr.earthdata.nasa.gov/search/concepts/C1979126739-GHRC_DAAC.umm_json The GPM Ground Validation Airborne Second Generation Precipitation Radar (APR-2) GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The Second Generation Airborne Precipitation Radar (APR-2) is a dual-frequency (13 GHz and 35 GHz), Doppler, dual-polarization radar system. It has a downward looking antenna that performs cross track scans, covering a swath that is +/- 25 degrees to each side of the aircraft path. Additional features include: simultaneous dual-frequency, matched beam operation at 13.4 and 35.6 GHz (same as GPM Dual-Frequency Precipitation Radar), simultaneous measurement of both like- and cross-polarized signals at both frequencies, Doppler operation, and real-time pulse compression (calibrated reflectivity data can be produced for large areas in the field during flight, if necessary). The APR-2 flew aboard the NASA DC-8 for the GPM Cold-season Precipitation Experiment (GCPEx) from 11 January to 25 February, 2012. proprietary +gpmapr3olyx2_2 GPM Ground Validation Airborne Precipitation Radar 3rd Generation (APR-3) OLYMPEX V2 GHRC_DAAC STAC Catalog 2015-11-12 2015-12-19 -129.14, 46.1711, -122.026, 49.4321 https://cmr.earthdata.nasa.gov/search/concepts/C1979127310-GHRC_DAAC.umm_json The GPM Ground Validation Airborne Precipitation Radar 3rd Generation (APR-3) OLYMPEX V2 dataset was collected from November 12, 2015 to December 19, 2015 during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. This dataset is version -2 (V2) of the APR-3, an enhanced and upgraded instrument derived from the APR-2 used in previous field campaigns. APR-3 has the addition of W-band measurement capability, and scans cross-track from +/- 25° to the right and left of nadir. Ku-band, Ka-band, and W-band frequency Doppler measurements are made by APR-3 from the DC-8 aircraft at 10 km altitude during OLYMPEX. The APR-3 dataset files are in HDF-5 format with JPG format browse images. This dataset contains radar reflectivity, Doppler velocity for all bands, linear depolarization ratio at Ku-band, and normalized radar cross section measurements at Ka and Ku-bands. proprietary +gpmapuicepop_1 GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP V1 GHRC_DAAC STAC Catalog 2015-10-13 2018-07-01 128.378, 37.3779, 129.124, 38.2509 https://cmr.earthdata.nasa.gov/search/concepts/C1979127770-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) ICE POP dataset was collected during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE POP) field campaign in South Korea. The two major objectives of ICE POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurements mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format from October 31, 2015 through July 1, 2018. It should be noted that this dataset extends prior to the field campaign. proprietary +gpmapuolyx_1 GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-01-10 2016-01-31 -124.369, 47.2025, -123.478, 48.3871 https://cmr.earthdata.nasa.gov/search/concepts/C1979128148-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX dataset was collected during the OLYMPEX field campaign held at Washington's Olympic Peninsula during the intense observation period of November 2015 to the end of January 2016. The dataset consists of data collected by 16 APUs. The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. This APU dataset provides precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration. Data are available in ASCII format. proprietary +gpmapuwff_1 GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) V1 GHRC_DAAC STAC Catalog 2013-05-08 2014-10-08 -75.5812, 37.8294, -75.3562, 38.0442 https://cmr.earthdata.nasa.gov/search/concepts/C1979128844-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) Wallops Flight Facility (WFF) dataset consists of precipitation data including precipitation amount, precipitation rate, reflectivity in Rayleigh regime, liquid water content, drop diameter, and drop concentration obtained from six Autonomous Parsivel Units (APUs) positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). The APU is an optical laser-disdrometer based on single particle extinction that measures particle size and fall velocity. It consists of the Parsivel2 developed by OTT in Germany and supporting hardware developed by University of Alabama. Data are available in ASCII format for the period of May 6, 2013 through October 9, 2014. proprietary +gpmarsifld_1 GPM Ground Validation USDA ARS Soil Moisture IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-16 2013-06-04 -93.5991, 42.3183, -93.2108, 42.5546 https://cmr.earthdata.nasa.gov/search/concepts/C1979128995-GHRC_DAAC.umm_json The GPM Ground Validation United States Department of Agriculture (USDA) Agricultural Research Service (ARS) Soil Moisture IFloodS dataset was collected during the Iowa Flood Studies (IFloodS) ground measurement campaign from April 17, 2013 to June 4, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. A total of 15 stations were deployed near the South Fork River in North Central Iowa. The soil moisture probes measure hourly instantaneous measurements of the real dielectric permittivity, soil temperature, bulk electrical conductivity, and volumetric soil moisture. This dataset also consists of precipitation amount, air temperature, relative humidity, vapor pressure, wind speed, wind direction, and solar radiation measurements. The data files are available in ASCII-csv and Excel file formats. proprietary +gpmasinaiphx_1 GPM GROUND VALIDATION TOTAL SKY IMAGER IPHEX V1 GHRC_DAAC STAC Catalog 2014-05-06 2014-06-15 -83.18, 35.48, -83.04, 35.56 https://cmr.earthdata.nasa.gov/search/concepts/C1980067507-GHRC_DAAC.umm_json The GPM Ground Validation Total Sky Imager IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 9, 2014 through June 14, 2014. The dataset includes data from the total sky imager instrument which is part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. It is an automatic, full-color sky imager system providing real-time, full color digital images of daytime sky conditions. Data files are available in the JPEG image format. proprietary +gpmasoolyx_1 GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX V1 GHRC_DAAC STAC Catalog 2014-09-04 2016-03-30 -124.185, 47.493, -123.129, 48.0909 https://cmr.earthdata.nasa.gov/search/concepts/C1979129209-GHRC_DAAC.umm_json The GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX dataset consists of snow depth, bare earth surface, land surface classification and a Red, Green, Blue (RGB) composite image, provided at 3 m spatial resolution during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by a Riegl Q1560 scanning LiDAR and an ITRES CASI-1500 imaging spectrometer , both part of the NASA Airborne Snow Observatory (ASO), during two separate periods, February 8-9, 2016 and March 29-30, 2016. A previous September 2014 flight was used to obtain no-snow measurements used for deriving snow depth. The data are provided in GeoTIFF format. proprietary +gpmavapsolyx_1 GPM Ground Validation Advanced Vertical Atmospheric Profiling System (AVAPS) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-12 2015-12-19 -128.876, 46.2982, -124.564, 48.202 https://cmr.earthdata.nasa.gov/search/concepts/C1979129320-GHRC_DAAC.umm_json The GPM Ground Validation Advanced Vertical Atmospheric Profiling System (AVAPS) OLYMPEX dataset contains dropsonde vertical profiles of atmospheric pressure, air temperature, dew point temperature, relative humidity, wind direction and magnitude, and sensor location obtained during the Olympic Mountains Experiment (OLYMPEX). The AVAPS dropsondes were released during specific NASA DC-8 aircraft flights between November 12, 2015 and December 19, 2015. A total of 53 standard research dropsondes were launched in the Pacific ocean off the coast of Washington state collecting atmospheric profile observations. The AVAPS datasets are available in ASCII-eol text format. proprietary +gpmcax1cfolyx_1 GPM Ground Validation CAX1 Radar CFradial format OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-14 2016-04-01 -124.376, 47.4888, -122.58, 49.2854 https://cmr.earthdata.nasa.gov/search/concepts/C1981360835-GHRC_DAAC.umm_json The GPM Ground Validation CAX1 Radar CFradial format OLYMPEX dataset consists of radar parameters, such as Radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and Signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada to support the OLYMPEX field campaign. These data are available in Cfradial netCDF-4 format from November 14, 2015 through April 1, 2016. proprietary +gpmcax1odolyx_1 GPM Ground Validation CAX1 Radar ODIM format OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-14 2016-04-01 -124.376, 47.4888, -122.58, 49.2854 https://cmr.earthdata.nasa.gov/search/concepts/C1983295899-GHRC_DAAC.umm_json The GPM Ground Validation CAX1 Radar ODIM format OLYMPEX dataset consists of radar parameters, such as Radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, Differential phase, Differential phase shift, Correlation coefficient, and Signal Quality Index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. These data are available in ODIM HDF-5 format, and have corresponding browse imagery in PNG format, from November 14, 2015 through April 1, 2016. proprietary +gpmcax1rbolyx_1 GPM Ground Validation CAX1 Radar RB5 format OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-13 2016-04-20 -124.376, 47.4888, -122.58, 49.2854 https://cmr.earthdata.nasa.gov/search/concepts/C1984725037-GHRC_DAAC.umm_json The GPM Ground Validation CAX1 Radar RB5 format OLYMPEX dataset consists of radar parameters, such as radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada (ECCC) to support the OLYMPEX field campaign. These data are available in RB5 binary and PNG formats from November 13, 2015 to April 20, 2016. proprietary +gpmceilgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) VAISALA CEILOMETER GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-03-01 -79.5, 43.5, -78.5, 44.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979129516-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) VAISALA Ceilometer GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Huronia, Canada from January 15, 2012 through March 1, 2012. The GPM Cold-season Precipitation Experiment (GCPEx) occurred in Ontario, Canada during the winter season of 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The CT25K ceilometer uses pulsed diode laser LIDAR technology to derive backscatter profiles, cloud heights and vertical visibilities. It is also able to detect 3 cloud layers simultaneously. proprietary +gpmceiliphx_1 GPM GROUND VALIDATION VAISALA CEILOMETER IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-06 2014-06-16 -83.18, 35.48, -83.04, 35.56 https://cmr.earthdata.nasa.gov/search/concepts/C1979129865-GHRC_DAAC.umm_json The GPM Ground Validation Vaisala Ceilometer IPHEx dataset consists of vertical profiles of attenuated backscatter and cloud base and boundary layer height data gathered during the Global Precipitation Mission (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region during an intense study period from May 1 through June 15, 2014. This dataset includes data from the Vaisala Ceilometer CL51 which is part of the NASA Goddard Space Flight Center (GSFC) Aerosol-Cloud-Humidity Interactions Exploring and Validating Enterprise (ACHIEVE) ground-based mobile laboratory. It measures vertical profiles of aerosol backscatter and performs a retrieval of cloud base detection and boundary layer structure. The data files are available from May 6 through June 16, 2014 in netCDF-3 format. proprietary +gpmchillmc3e_1 GPM GROUND VALIDATION CHILL RADAR MC3E V1 GHRC_DAAC STAC Catalog 2011-05-24 2011-05-24 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979130465-GHRC_DAAC.umm_json The GPM Ground Validation CHILL Radar MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which was held in Oklahoma were collected while the NASA ER-2 aircraft conducted a series of four legs along the 090 and 120 degree CHILL azimuths on May 24, 2011. Dual linear polarization variables as well as Doppler velocity, radial velocity, and normalized coherent power are contained in this dataset. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER-2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CSU-CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CSU-CHILL. The single polarization CSU-Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. The Pawnee radar data are available as a seperate dataset. proprietary +gpmcilpvex_1 GPM GROUND VALIDATION CLOUD SPECTROMETER AND IMPACTOR (CIP) LPVEX V1 GHRC_DAAC STAC Catalog 2010-08-06 2010-10-20 25.04, 60.06, 25.37, 61.36 https://cmr.earthdata.nasa.gov/search/concepts/C1979130601-GHRC_DAAC.umm_json The GPM Ground Validation Cloud Spectrometer and Impactor (CIP) LPVEx dataset provides particle size spectra for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment. Data was collected by the Cloud spectrometer and impactor (CIP) and 2D-S (2-dimensional stereo probe) aboard the University of Wyoming King Air flown in Finland during the Light Precipitation Validation Experiment (LPVEx) from August to October 2010. Lat, lon, altitude, pressure, and temperature are provided with the total concentration of particles with diameter greater than 100 microns. proprietary +gpmcitvidiphx_1 GPM GROUND VALIDATION CITATION VIDEOS IPHEX V1 GHRC_DAAC STAC Catalog 2014-06-06 2014-06-08 -83.1, 35.23, -78, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979130750-GHRC_DAAC.umm_json The GPM Ground Validation Citation Videos IPHEx dataset was collected during the Global Precipitation Measurement (GPM) mission Integrated Precipitation and Hydrology Experiment (IPHEx) in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. These videos show flights on June 6, 2014 and June 8, 2014. The dataset contains MP4 digital video files and videos have been sped up 12.5 times the original speed and are broken into smaller files of about 3.5 minutes each (covering 45 minutes of actual flight time). proprietary +gpmcmgcpex2_2 GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS GCPEX V2 GHRC_DAAC STAC Catalog 2012-01-19 2012-02-24 -80.3847, 43.4595, -78.7659, 46.3615 https://cmr.earthdata.nasa.gov/search/concepts/C1979131261-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Cloud Microphysics GCPEx dataset includes instrument measurements of cloud microphysics, state of atmosphere parameters. bulk aerosols, three-dimensional winds, and turbulence. These measurements were taken by the University of North Dakota's (UND) Cessna Citation aircraft, an in situ platform used during the GCPEx campaign. The GPM Ground Validation UND Citation Cloud Microphysics GCPEx data are stored as a separate file for each flight, including both a primary file containing direct and derived parameters, and raw data for each cloud instrument aboard the Citation. This dataset contains measurements collected across 12 data missions from January 19, 2012 through February 24, 2012. Navigation files for this dataset were updated July 2015. proprietary +gpmcmiphx_1 GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS IPHEx V1 GHRC_DAAC STAC Catalog 2014-03-06 2014-06-13 -83.1, 35.23, -82.06, 35.59 https://cmr.earthdata.nasa.gov/search/concepts/C1979131539-GHRC_DAAC.umm_json The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the IPHEx campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The data are stored as a separate file for each flight, with a primary (*.iphex_ file containing both direct and derived parameters. Raw data files for each cloud instrument are also archived for investigators who wish to use their own processing software. Citation flight navigation data is also included in this dataset. proprietary +gpmcmmc3e_1 GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E V1 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-02 -99.1654, 34.3247, -95.2302, 40.944 https://cmr.earthdata.nasa.gov/search/concepts/C1979132182-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Cloud Microphysics MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the MC3E campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The Citation flew 15 data missions, which totaled 42.6 flight hours. The data are stored as a separate file for each flight. Raw data files for each cloud instrument are also archived to allow investigators to use their own processing software. Particle size spectra for the imaging probes were processed by NCAR and are archived and distributed as a separate dataset (Particle probes). proprietary +gpmcmolyx_1 GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-12 2015-12-19 -126.129, 46.2209, -97.1811, 48.3535 https://cmr.earthdata.nasa.gov/search/concepts/C1979132803-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Cloud Microphysics OLYMPEX dataset includes measurements of cloud microphysics, state of the atmosphere parameters, three-dimensional winds, and turbulence. These measurements were taken during the OLYMPEX campaign by the University of North Dakota’s (UND) Cessna Citation II aircraft over a series of 20 flights totaling roughly 60 flight hours. The UND Citation Cloud Microphysics data are stored as separate files for each flight, with a primary (*.olympex) file containing both direct and derived parameters. Raw data files for each instrument are also archived for investigators who wish to use their own processing software. Data are available from flights that occurred from November 12, 2015 through December 19, 2015 in ASCII, ASCII-csv, and binary formats, while browse images are available in PNG format. proprietary +gpmcmorphnifld_1 GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IFLOODS GHRC_DAAC STAC Catalog 2013-04-01 2013-06-30 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1980101480-GHRC_DAAC.umm_json The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IFloodS dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC). The Iowa Flood Studies (IFloodS) campaign was a ground measurement campaign that took place in eastern Iowa from May 1 to June 15, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. Data has been selected for the Iowa Flood Studies (IFloodS) field campaign which took place from April 1, 2013 to June 30, 2013. The dataset includes both the near real-time raw data and bias corrected data from NOAA in binary and netCDF format. proprietary +gpmcmorphniphx_1 GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IPHEX GHRC_DAAC STAC Catalog 2014-05-01 2014-06-14 -179.964, -59.9636, 179.964, 59.9636 https://cmr.earthdata.nasa.gov/search/concepts/C1979134074-GHRC_DAAC.umm_json The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IPHEx dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC) during the Global Precipitation Mission (GPM) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. CMORPH data has been selected from May 1, 2014 through June 14, 2014, during the IPHEx field campaign. These data files are available in raw binary and netCDF-4 file format. proprietary +gpmcosmirgcpex_1 GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) GCPEX GHRC_DAAC STAC Catalog 2012-01-19 2012-02-24 -80.916, 42.609, -67.597, 47.016 https://cmr.earthdata.nasa.gov/search/concepts/C1979138096-GHRC_DAAC.umm_json The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (COSMIR) GCPEx dataset used the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR), which was utilized for the GPM Cold-season Precipitation Experiment (GCPEx) as an airborne high-frequency simulator of the GPM Microwave Imager (GMI), which was launched in 2014. The CoSMIR was modified with a new scan mode to acquire both conical and cross-track scan data simultaneously in a given flight satisfying the requirements of the Precipitation Measurement Mission (PMM) algorithm development team. The dataset provides well-calibrated radiometric data from 9 channels between 50-183 GHz with the accuracy on the order of +-1K. All channels besides the 89 and 165.5 GHz are horizontally polarized. proprietary +gpmcosmiriphx_1 GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) IPHEx GHRC_DAAC STAC Catalog 2014-05-07 2014-06-14 -117.35, 30.182, -74.611, 36.85 https://cmr.earthdata.nasa.gov/search/concepts/C1979138337-GHRC_DAAC.umm_json The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) IPHEx dataset consists of brightness temperatures from 9 channels as measured by the CoSMIR instrument onboard the NASA ER-2 aircraft during the Global Precipitation Mission (GPM) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31 ±1, 183.31±3, and 183.31±7 GHz. Data files are available from May 7, 2014 through June 14, 2014 in ASCII format, with browse images available in the postscript format. proprietary +gpmcosmirmc3e_1 GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) MC3E GHRC_DAAC STAC Catalog 2011-04-25 2011-05-29 -105.269, 27.957, -91.542, 42.37 https://cmr.earthdata.nasa.gov/search/concepts/C1979138507-GHRC_DAAC.umm_json The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (COSMIR) MC3E dataset used the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR), which was utilized during the Midlatitude Continental Convective Clouds Experiment (MC3E) served as an airborne high-frequency simulator of the GPM Microwave Imager (GMI), which launched in 2014. The CoSMIR was modified with a new scan mode to acquire both conical and cross-track scan data simultaneously in a given flight satisfying the requirements of the Precipitation Measurement Mission (PMM) algorithm development team. The dataset provides well-calibrated radiometric data from 9 channels between 50-183 GHz with the accuracy on the order of +-1K. All channels besides the 89 and 165.5 GHz are horizontally polarized. proprietary +gpmcosmirolyx_1 GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) OLYMPEX GHRC_DAAC STAC Catalog 2015-11-05 2015-12-19 -129.622, 29.9313, -117.697, 49.7371 https://cmr.earthdata.nasa.gov/search/concepts/C1979138680-GHRC_DAAC.umm_json The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) OLYMPEX dataset consists of brightness temperatures from 9 channels as measured by CoSMIR when flown on the NASA DC-8 aircraft during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. CoSMIR is a conical and cross-track scanning radiometer with frequencies centered at 50.3, 52.8, 89.0, 165.5, 183.31+/-1, 183.31+/-3, and 183.31+/-7 GHz. Data files are available from November 5, 2015 thru December 19, 2015 in HDF-5 format, with browse imagery files in PNG format containing brightness temperature time series plots. proprietary +gpmcplolyx_1 GPM Ground Validation Cloud Physics LiDAR (CPL) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-09 2015-12-15 -130.045, 34.1575, -117.774, 49.6338 https://cmr.earthdata.nasa.gov/search/concepts/C1979139803-GHRC_DAAC.umm_json The GPM Ground Validation Cloud Physics Lidar (CPL) OLYMPEX dataset consists of extinction profiles, layer optical depth, layer lidar ratio, and aircraft parameter measurements measured by the CPL flown on the NASA ER-2 aircraft during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. The CPL instrument is a multi-wavelength backscatter lidar that provides multi-wavelength measurements of cirrus and aerosols with high temporal and spatial. Data files are available from November 9, 2015 through December 15, 2015 in HDF-5 format with layer information in ASCII text files. Browse imagery files in GIF format contain optical depth and flight path images. proprietary +gpmcrsiphx_1 GPM GROUND VALIDATION CLOUD RADAR SYSTEM (CRS) IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-03 2014-06-12 -83.09, 34.5, -81, 46.7 https://cmr.earthdata.nasa.gov/search/concepts/C1979140485-GHRC_DAAC.umm_json The GPM Ground Validation Cloud Radar System (CRS) IPHEx data were collected in support of the Global Precipitation Measurement (GPM) mission Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina, with an intense study period occurring from May 1, 2014 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The ER-2 aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments, including the CRS, onboard the aircraft acted as a proxy for GPM satellite instruments. The CRS provided high-resolution profiles of reflectivity and Doppler velocity in clouds at aircraft nadir along the flight track. The CRS data are available from May 3, 2014 through June 12, 2014 and files for this dataset are available in netCDF-3 format. proprietary +gpmcrsolyx_1 GPM Ground Validation Cloud Radar System (CRS) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-10 2015-12-10 -129.328, 34.1576, -117.774, 49.634 https://cmr.earthdata.nasa.gov/search/concepts/C1979140648-GHRC_DAAC.umm_json The GPM Ground Validation Cloud Radar System (CRS) OLYMPEX dataset provides radar reflectivity and Doppler velocity data collected during the Olympic Mountain Experiment (OLYMPEX). This dataset is used to estimate cloud droplet distribution for the storms monitored during the field campaign. The CRS instrument is a 94GHz W-band Doppler radar with a 3mm wavelength. CRS can be deployed as both an airborne instrument onboard NASA’s high-altitude science aircraft, the Earth Resource 2 (ER-2), as well as a ground based radar system. Only the airborne mode was used during OLYMPEX. In addition to reflectivity and Doppler velocity, the data files include aircraft flight information. The CRS was flown on 10 different days between November 10, 2015 and December 10, 2015. Each data file contains one hour of flight measurements during flight in UTC time. Files for this dataset are in netCDF-3 format and readily accessible without the need of specialized software. proprietary +gpmcxsiolyx_1 GPM Ground Validation CXSI Radar Imagery OLYMPEX GHRC_DAAC STAC Catalog 2015-11-10 2015-12-31 -124.476, 48.4119, -123.118, 49.3183 https://cmr.earthdata.nasa.gov/search/concepts/C1980116575-GHRC_DAAC.umm_json The GPM Ground Validation CXSI Radar Imagery OLYMPEX dataset contains radar reflectivity and precipitation rate images obtained from Environment and Climate Change Canada (ECCC)’s weather radar network during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX), which was conducted to validate rain and snow measurements in mid latitude frontal systems as they move from ocean to coast to mountains and to determine how remotely sensed measurements of precipitation by GPM can be applied to a range of hydrologic, weather forecasting, and climate data. These data are available as GIF images for November 19, 2015 through December 31, 2015. proprietary +gpmd3rgcpex_1 GPM GROUND VALIDATION DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) GCPEX GHRC_DAAC STAC Catalog 2012-01-03 2012-02-29 -80.0512, 43.9631, -79.5122, 44.5021 https://cmr.earthdata.nasa.gov/search/concepts/C1980126207-GHRC_DAAC.umm_json The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) GCPEx and IFloodS data sets contain radar reflectivity and doppler velocity measurements. The D3R was developed by a government-industry-academic consortium with funding from NASA's Global Precipitation Measurement (GPM) Project. It operates at the ku (13.91 GHz ± 25 MHz) and ku (35.56 GHz ± 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) GCPEx dataset is available in netCDF format. Browse images are also available in .png format. proprietary +gpmd3ricepop_1 GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) ICE POP GHRC_DAAC STAC Catalog 2017-11-01 2018-03-17 128.36, 37.3181, 129.078, 38.0367 https://cmr.earthdata.nasa.gov/search/concepts/C1983445363-GHRC_DAAC.umm_json The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) ICE POP dataset includes reflectivity, differential reflectivity, copolar correlation coefficient, differential propagation phase, radial velocity, and spectrum width data collected by the Dual-frequency Dual-polarized Doppler Radar (D3R) during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. The D3R was developed by a government-industry-academic consortium with funding from NASA's GPM Project. It operates at the ku (13.91 GHz ± 25 MHz) and ka (35.56 GHz ± 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The D3R dataset files are available from November 1, 2017 through March 17, 2018 in netCDF-4 format. proprietary +gpmd3rifld_1 GPM GROUND VALIDATION DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) IFLOODS GHRC_DAAC STAC Catalog 2013-05-09 2013-06-13 -92.9, 42, -90.1, 42.5 https://cmr.earthdata.nasa.gov/search/concepts/C1981441257-GHRC_DAAC.umm_json The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) IFloodS dataset contains radar reflectivity and doppler velocity measurements from the Iowa Flood Studies (IFloodS) campaign. This campaign aimed to improve satellite precipitation measurements for flood prediction by using ground measurements to improve satellite retrieval algorithms. The D3R was developed by a government-industry-academic consortium with funding from NASA's Global Precipitation Measurement (GPM) Project. It operates at the ku (13.91 GHz ± 25 MHz) and ka (35.56 GHz ± 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The D3R IFloodS dataset is available from May 9, 2013 through June 13, 2013 in netCDF-3 format with corresponding browse imagery available in PNG format. proprietary +gpmd3riphx_1 GPM GROUND VALIDATION DUAL-FREQUENCY DUAL-POLARIZED DOPPLER RADAR (D3R) IPHEX GHRC_DAAC STAC Catalog 2014-05-01 2014-06-15 -81.9632, 35.1959, -81.9631, 35.1959 https://cmr.earthdata.nasa.gov/search/concepts/C1981506869-GHRC_DAAC.umm_json The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) IPHEx data set contains radar reflectivity and doppler velocity measurements. The D3R was developed by a government-industry-academic consortium with funding from NASA's Global Precipitation Measurement (GPM) Project. It operates at the ku (13.91 GHz ± 25 MHz) and ku (35.56 GHz ± 25 MHz) frequencies covering a fixed range from 450 m to 39.75 km. The instrument's data are available in netCDF-4 format with browse imagery available in PNG format. proprietary +gpmd3rolyx_1 GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) OLYMPEX GHRC_DAAC STAC Catalog 2015-11-08 2016-01-15 -124.211, 47.2772, -124.211, 47.2773 https://cmr.earthdata.nasa.gov/search/concepts/C2748694717-GHRC_DAAC.umm_json The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) OLYMPEX dataset contains radar reflectivity, velocity, differential reflectivity, differential phase, spectrum width, and co-polar correlation products collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Dual-frequency Dual-polarized Doppler Radar (D3R) was developed by a government-industry-academic consortium with funding from NASA’s GPM mission and was used in several ground validation projects. D3R operates at the Ku-band (13.91 GHz ± 25 MHz) and Ka-band (35.56 GHz ± 25 MHz) frequencies, similar to the frequencies used for the GPM satellite instruments, and covers a fixed range from 450 m to 40 km. For OLYMPEX, the D3R was co-located with the NASA S-band Dual Polarimetric (NPOL) Doppler Radar at a coastal Washington state location on the Olympic Peninsula. Due to blockage caused by NPOL, the D3R measurement area is limited to a 220 degree to 120 degree sector. The GPM GV D3R OLYMPEX dataset files are available from November 8, 2015 through January 15, 2016 in netCDF-4 format along with browse imagery of reflectivity in PNG format. proprietary +gpmdowolyx2_2 GPM Ground Validation Doppler on Wheels (DOW) OLYMPEX GHRC_DAAC STAC Catalog 2015-11-06 2016-01-15 -124.408, 46.9499, -123.331, 48.0271 https://cmr.earthdata.nasa.gov/search/concepts/C1980430683-GHRC_DAAC.umm_json The GPM Ground Validation Doppler on Wheels (DOW) OLYMPEX V2 dataset was obtained by a dual-polarization and dual-frequency X-band mobile radar operated by the Center for Severe Weather Research (CSWR) during the Olympic Mountain Experiment (OLYMPEX) campaign. The DOW was deployed in the Chehalis Valley for the OLYMPEX field campaign with the goal of obtaining radar reflectivity and Doppler velocity observations in order to better understand the orographic enhancement of precipitation during frontal passages over mountain ranges. The DOW radar uses two 250 kW transmitters with a measurement range of roughly 60 km. These data are available in CFradial netCDF-4 format from November 6, 2015 through January 15, 2016. proprietary +gpmepfl_1 GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland GHRC_DAAC STAC Catalog 2008-11-26 2010-09-29 6.56273, 46.5176, 6.57258, 46.5219 https://cmr.earthdata.nasa.gov/search/concepts/C1980443814-GHRC_DAAC.umm_json The GPM Ground Validation NASA EPFL-LTE Parsivel DSD Data Lausanne, Switzerland dataset consists of a network of 16 Parsivel disdrometers deployed on the Ecole Polytechnique Federale de Lausanne (EPFL) campus in Lausanne, Switzerland for about 16 months from March 2009 to July 2010. The distribution of the disdrometers was to cover a typical operational radar pixel (about 1x1 km2). Since all the stations were not deployed at the same time, additional data are available from November 2008 to September 2010. The dataset also consists of a list of precipitation events that occurred throughout the study period. There are two types of data, raw data and filtered volumic drop size distribution data. These data are in ASCII (.dat, .txt) format that are compressed into .gz files. proprietary +gpmer2navmc3e_1 GPM GROUND VALIDATION NASA ER-2 NAVIGATION DATA MC3E GHRC_DAAC STAC Catalog 2011-04-22 2011-06-03 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979140850-GHRC_DAAC.umm_json The GPM Ground Validation NASA ER-2 Navigation Data MC3E dataset contains information recorded by an on board navigation recorder (NavRec). In addition to typical navigation data (e.g. date, time, lat/lon and altitude) it contains outside meteorological parameters such as wind speed, wind direction, and temperature. These ASCII text files were recorded every second for the length of the flight. The Flight Summaries and Flight Track Imagery dataset which includes sonde maps, radar animation, and 5-minute KICT track snapshots is distributed with this dataset. proprietary +gpmexradiphx_1 GPM GROUND VALIDATION ER-2 X-BAND RADAR (EXRAD) IPHEX V1 GHRC_DAAC STAC Catalog 2014-05-03 2014-06-12 -86.5619, 26.7991, -71.9384, 36.5498 https://cmr.earthdata.nasa.gov/search/concepts/C1979141020-GHRC_DAAC.umm_json The GPM Ground Validation ER-2 X-band Radar (EXRAD) IPHEx dataset was collected in support of the Global Precipitation Measurement (GPM) mission Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina, with an intense study period occurring from May 1, 2014 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. EXRAD is a single-frequency X-band Doppler radar that measures reflectivity and Doppler velocity. The science instruments, including the EXRAD, onboard the NASA ER-2 aircraft acted as a proxy for GPM satellite instruments. This dataset is available in netCDF-3 file format. proprietary +gpmfltsummc3e_1 GPM GROUND VALIDATION FLIGHT SUMMARIES AND FLIGHT TRACKS IMAGERY MC3E V1 GHRC_DAAC STAC Catalog 2011-04-25 2011-06-02 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979141270-GHRC_DAAC.umm_json The GPM Ground Validation Flight Summaries and Flight Tracks Imagery MC3E dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides processed summaries from the University of North Dakota including sonde maps, a radar animation, parameter versus time charts, radar track graphs, and a summary including aircraft and instrument operational times. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The Flight Tracks imagery includes one animation for May 11, 2011 and the KICT 5 minute snapshots from the Real Time Mission Monitor (RTMM). This dataset is distributed with the MC3E ER-2 Navigation and the Citation Navigation datasets. proprietary +gpmgaugewff_1 GPM Ground Validation Met One Rain Gauge Pairs Wallops Flight Facility (WFF) V1 GHRC_DAAC STAC Catalog 2012-04-10 2018-10-01 -75.879, 37.4531, -75.3188, 38.3699 https://cmr.earthdata.nasa.gov/search/concepts/C1980463538-GHRC_DAAC.umm_json The GPM Ground Validation Met One Rain Gauge Pairs Wallops Flight Facility (WFF) dataset contains rain rate data from 4 rain gauge networks located in Virginia and Maryland near the Wallops Flight Facility (WFF): Nassawadox, Pocomoke, HalfDeg and Wallops Flight Facility (WFF) Assorted Gauges. These data were collected in support of the Global Precipitation Mission (GPM) Ground Validation (GV) campaign. The Met One Rain Gauge Pairs are tipping bucket precipitation gauges which collect precipitation amounts and calculate rain rates. The dataset contains 3 products: formatted gauge tips (GAG), interpolated one-minute rain rates for a year (GMIN), and interpolated one-minute rain rates for a month (2A56). Data are available in ASCII format for the period of April 10, 2012 through October 1, 2018. proprietary +gpmgoes13gcpexB_1 GPM GROUND VALIDATION GOES 13 VISIBLE AND INFRARED IMAGES GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-01 2012-03-14 -120, -90, -20, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1981574739-GHRC_DAAC.umm_json The GPM Ground Validation GOES 13 Visible and Infrared Images GCPEx dataset was produced and archived in near real time at the Global Hydrology Resource Center throughout the GPM Cold-Season Precipitation Experiment (GCPEx). These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between January 1, 2012 and March 13, 2012 at 15 minute intervals. The GPM Ground Validation GOES-13 Visible and Infrared Images dataset files are available in PNG format and contain images over the MC3E campaign area. proprietary +gpmgoes13iphxB_1 GPM Ground Validation GOES 13 Visible and Infrared Images IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-16 -165, -90, 15, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1980470811-GHRC_DAAC.umm_json The GPM Ground Validation GOES 13 Visible and Infrared Images IPHEx dataset contains visible and infrared images in 3 sizes (FULL, CONUS, and EXT) from the GOES 13 Imager obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign that took place in the southeast region of the United States. This collection of GOES 13 images are available at 30 minute (EXT and CONUS) and 3 hour (FULL) intervals for dates between May 1, 2014 and June 16, 2014. The GPM Ground Validation GOES 13 IPHEx data files are in PNG format. proprietary +gpmgoes13mc3eB_1 GPM GROUND VALIDATION GOES 13 VISIBLE AND INFRARED IMAGES MC3E V1 GHRC_DAAC STAC Catalog 2011-05-06 2011-07-01 -120, -90, -20, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1981650432-GHRC_DAAC.umm_json The GPM Ground Validation GOES 13 Visible and Infrared Images MC3E dataset was produced and archived in near real time at the Global Hydrology Research Center throughout the GPM Midlatitude Continental Convective Clouds Experiment (MC3E). These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between May 6, 2011 and June 30, 2011 at 15 minute intervals. The GPM Ground Validation GOES-13 Visible and Infrared Images dataset files are available in PNG format and contain images over the MC3E campaign area. proprietary +gpmgoes14iphxB_1 GPM Ground Validation GOES 14 Visible and Infrared Images IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-08 2014-05-24 -125.395, -10.7964, 14.3952, 49.8525 https://cmr.earthdata.nasa.gov/search/concepts/C1981725006-GHRC_DAAC.umm_json The GPM Ground Validation GOES 14 Visible and Infrared Images IPHEx dataset contains visible and infrared images from the GOES 14 Imager collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in the southeast region of the United States. The GPM Ground Validation GOES 14 IPHEx dataset files are available in PNG format at 1 minute intervals, for all dates between May 8, 2014 and May 24, 2014. proprietary +gpmgoes15olyxB_1 GPM Ground Validation GOES 15 Visible and Infrared Images OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-05 2016-05-01 -132, 23, -62, 53 https://cmr.earthdata.nasa.gov/search/concepts/C1981807112-GHRC_DAAC.umm_json The GPM Ground Validation GOES 15 Visible and Infrared Images OLYMPEX dataset contains visible and infrared images from the GOES 15 Imager during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. The GOES 15 images are available for all dates between November 5, 2015 and May 1, 2016 at 15 minute intervals. The GPM Ground Validation GOES 15 OLYMPEX dataset files are available in PNG format. proprietary +gpmgprof2014ifld_3 GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS V3 GHRC_DAAC STAC Catalog 2013-03-31 2013-07-02 -123.83, 32.0518, -59.9776, 51.9073 https://cmr.earthdata.nasa.gov/search/concepts/C1979562074-GHRC_DAAC.umm_json "The GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS dataset consists of precipitation data derived from microwave radiometers and sounders located on multiple satellites, including the Defense Meteorological Satellite Program (DMSP) F16-18, the Global Change Observation Mission – Water ""Shizuku"" (GCOM-W1), the European Space Agency's (ESA’s) Meteorological Operational satellite programme (MetOp) series, and NOAA's Polar Operational Environmental Satellites (POES) series. The data have been consistently processed for the Iowa Flood Studies (IFloodS) field campaign conducted in eastern Iowa during spring 2013. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The GPROF 2014 data files are available from March 31 to July 2, 2013 in HDF-5 format." proprietary +gpmgsmapjifld_1 GPM Ground Validation Global Satellite Mapping of Precipitation (GSMaP) IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-22 2013-06-30 -179.95, -59.95, 179.95, 59.95 https://cmr.earthdata.nasa.gov/search/concepts/C1979566372-GHRC_DAAC.umm_json The GPM Ground Validation Global Satellite Mapping of Precipitation (GSMaP) IFloodS dataset consists of rainfall rate estimates from the GSMaP project. The GSMaP global rain rate maps are derived by a collection of algorithms that utilize microwave (MW) radiometer data and geostationary Infrared (IR) data. The GSMaP Precipitation data product is provided on a 0.1 degree spatial resolution every hour and was made available for use during the Global Precipitation Measurement (GPM) Ground Validation Iowa Flood Studies (IFloodS) field campaign. These data are available in netCDF-4 and binary formats from April 22, 2013 through June 30, 2013. The near real-time GSMaP data can be obtained from the JAXA GSMaP web page. proprietary +gpmheifld_1 GPM Ground Validation Hydro-Estimator IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-24 2013-06-30 -96.982, 39.016, -87.029, 45.998 https://cmr.earthdata.nasa.gov/search/concepts/C1979572853-GHRC_DAAC.umm_json The GPM Ground Validation Hydro-Estimator IFloodS dataset contains rainfall rate estimates derived using NOAA’s Geostationary Operational Environmental Satellites (GOES) infrared (IR) brightness temperature data by researchers at the NOAA Center of Satellite Applications and Research’s (STAR) using the Hydro-Estimator (H-E) algorithm. Rainfall rate estimates are produced every 15 minutes throughout the continental United States, but for this dataset, have been subset to the Iowa region for the Iowa Flood Studies (IFloodS) field campaign in support of Global Precipitation Measurement (GPM) ground validation. These data are available in netCDF-3 format and consist of rain rate values from April 25, 2013 through June 30, 2013. proprietary +gpmheiphx_1 GPM Ground Validation Hydro-Estimator IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-16 -91.736, 27.897, -71.793, 42.921 https://cmr.earthdata.nasa.gov/search/concepts/C1979596455-GHRC_DAAC.umm_json The GPM Ground Validation Hydro-Estimator IPHEx dataset contains rainfall rate estimates derived using NOAA’s Geostationary Operational Environmental Satellites (GOES) infrared (IR) brightness temperature data by researchers at the NOAA Center of Satellite Applications and Research’s (STAR) using the Hydro-Estimator (H-E) algorithm. Rainfall rate estimates are produced every 15 minutes throughout the continental United States, but for this dataset, have been subset to the North Carolina region for the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in support of Global Precipitation Measurement (GPM) ground validation. These data are available in netCDF-4 format and consists of rain rate values from May 1, 2014 through June 16, 2014. proprietary +gpmhiwrapiphx_1 GPM GROUND VALIDATION HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) IPHEX V1 GHRC_DAAC STAC Catalog 2014-05-03 2014-06-12 -86.5619, 26.7992, -71.9384, 36.6426 https://cmr.earthdata.nasa.gov/search/concepts/C1979602587-GHRC_DAAC.umm_json The GPM Ground Validation High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IPHEx dataset was collected during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The NASA ER-2 aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments, including the HIWRAP, onboard the aircraft acted as a proxy for GPM satellite instruments. HIWRAP is a Doppler radar that combines conical scan mode measurements at two different frequency bands (Ka- and Ku-band) and two different incidence angles (30 and 40 degrees). Twenty-one ER-2 flights occurred from May 1, 2014 through June 14, 2014. The HIWRAP dataset includes netCDF-4 files containing radar reflectivity and Doppler velocity profiles along with aircraft altitude and other navigation information. proprietary +gpmhiwrapmc3e_1 GPM GROUND VALIDATION HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) MC3E V1 GHRC_DAAC STAC Catalog 2011-04-25 2011-05-29 -104.972, 28.1943, -91.8186, 41.8754 https://cmr.earthdata.nasa.gov/search/concepts/C1979605470-GHRC_DAAC.umm_json The GPM Ground Validation High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) MC3E dataset was collected by the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ka- and Ku-band) conical scan system, configured with a nadir viewing antenna on the high-altitude (20 km) NASA ER-2 aircraft. It provides calibrated reflectivity and unfolded Doppler velocity. The GPM Ground Validation High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) MC3E dataset consists of netCDF (.nc) files and images (.gif). Measurements included within the data files are merged pulse and chirp radar reflectivity profiles at 13.9 and 33.7 GHz. proprietary +gpmhiwrapolyx_1a GPM Ground Validation High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) OLYMPEX V1a GHRC_DAAC STAC Catalog 2015-11-10 2015-12-12 -130.045, 34.1576, -117.774, 48.8322 https://cmr.earthdata.nasa.gov/search/concepts/C1979605662-GHRC_DAAC.umm_json The GPM Ground Validation High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) OLYMPEX dataset consists of Doppler velocity and reflectivity profiles collected by the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) onboard the NASA ER-2 high-altitude research aircraft during the Global Precipitation Measurement mission (GPM) Ground Validation Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. HIWRAP is a Doppler radar that combines conical scan mode measurements at two different frequency bands (Ka- and Ku-band) and two different incidence angles (30 and 40 degrees) to obtain profiles of wind and rain. These Level 1B HIWRAP data files are available from November 10 through December 12, 2015 in netCDF-3 format. proprietary +gpmikalpvex_1 GPM Ground Validation C-band Ikaalinen (IKA) Radar LPVEx V1 GHRC_DAAC STAC Catalog 2010-10-19 2010-10-19 18.33, 59.522, 27.83, 64.012 https://cmr.earthdata.nasa.gov/search/concepts/C1995569684-GHRC_DAAC.umm_json The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Ikaalinen (IKA) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Ikaalinen C-Band Radar data files are available in RAW and UF format for October 19, 2010. proprietary +gpmjwlpvex_1 GPM Ground Validation Joss-Waldvogel Disdrometer (JW) LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-10 2010-11-09 25.072, 60.475, 25.092, 60.495 https://cmr.earthdata.nasa.gov/search/concepts/C1979606207-GHRC_DAAC.umm_json The GPM Ground Validation Joss-Waldvogel Disdrometer (JW) LPVEx dataset consists of precipitation drop size distribution (DSD) data collected by the Joss-Waldvogel (JW) disdrometer during the GPM Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The JW disdrometer dataset files are available in ASCII text format from September 10 through November 9, 2010. proprietary +gpmjwnsstc_1 GPM GROUND VALIDATION JOSS-WALDVOGEL DISDROMETER (JW) NSSTC V1 GHRC_DAAC STAC Catalog 2010-07-05 2011-03-30 -86.64, 34.71, -86.63, 34.72 https://cmr.earthdata.nasa.gov/search/concepts/C1979607107-GHRC_DAAC.umm_json The GPM Ground Validation Joss-Waldvogel Disdrometer (JW) NSSTC dataset was collected by the Joss-Waldvogel (JW) disdrometer, which is an impact-type electromechanical counter designed to measure drop size distribution (DSD). This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC), Huntsville, AL. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns. proprietary +gpmkapxgcpex_1 GPM GROUND VALIDATION KAPX NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-09 2012-03-12 -90.55, 40.77, -78.89, 49.04 https://cmr.earthdata.nasa.gov/search/concepts/C1980479829-GHRC_DAAC.umm_json The GPM Ground Validation KAPX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. This data set were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx datasets include data files and browse image files. These data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkarx2ifld_1 GPM GROUND VALIDATION NEXRAD LEVEL II KARX IFLOODS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -96.92, 39.68, -85.47, 47.96 https://cmr.earthdata.nasa.gov/search/concepts/C1980499098-GHRC_DAAC.umm_json The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format. proprietary +gpmkarx3ifld_1 GPM Ground Validation NEXRAD Level III KARX IFloodS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -91.6401, 43.3739, -90.7419, 44.2721 https://cmr.earthdata.nasa.gov/search/concepts/C1980520923-GHRC_DAAC.umm_json The GPM Ground Validation NEXRAD Level III KARX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format. proprietary +gpmkatx2olyx_1 GPM Ground Validation KATX NEXRAD OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-09-22 2016-05-01 -123.197, 48.7357, -121.813, 49.653 https://cmr.earthdata.nasa.gov/search/concepts/C1980575432-GHRC_DAAC.umm_json The GPM Ground Validation KATX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 22 September 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkboxgcpex_1 GPM GROUND VALIDATION KBOX NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-02-06 2012-03-12 -76.69, 37.82, -65.58, 46.09 https://cmr.earthdata.nasa.gov/search/concepts/C1980683462-GHRC_DAAC.umm_json The GPM Ground Validation KBOX NEXRAD GCPEx dataset was collected during February 6, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkbufgcpex_1 GPM GROUND VALIDATION KBUF NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-09 2012-03-12 -84.38, 38.81, -73.09, 47.09 https://cmr.earthdata.nasa.gov/search/concepts/C1980698247-GHRC_DAAC.umm_json The GPM Ground Validation KBUF NEXRAD GCPEx dataset was collected during February 6, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkcae2iphx_1 GPM Ground Validation KCAE NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-12 -83.2165, 31.8504, -79.0201, 36.0468 https://cmr.earthdata.nasa.gov/search/concepts/C1980727098-GHRC_DAAC.umm_json The GPM Ground Validation KCAE NEXRAD IPHEx datasets contain data from the KCAE NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkcbwgcpex_1 GPM GROUND VALIDATION KCBW NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-09 2012-03-12 -73.75, 41.9, -61.86, 50.18 https://cmr.earthdata.nasa.gov/search/concepts/C1980747974-GHRC_DAAC.umm_json The GPM Ground Validation KCBW NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkcradgcpex_1 GPM GROUND VALIDATION DUAL POLARIZED C-BAND DOPPLER RADAR KING CITY GCPEX GHRC_DAAC STAC Catalog 2012-01-15 2012-03-04 -88, 34.5, -68, 46.7 https://cmr.earthdata.nasa.gov/search/concepts/C1980774909-GHRC_DAAC.umm_json The GPM Ground Validation Dual Polarized C-Band Doppler Radar King City GCPEx dataset has special Range Height Indicator (RHI) and sector scans of several dual polarization parameters, such as temperature and reflectivity, measured by the C-Band radar during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada. Additionally, specially configured Centre for Atmospheric Research Experiments (CARE)-centric composites were also generated. Standard King City Radar (WKR) Interactive Radar Information System (IRIS) volume and Plan Position Indicator (PPI) scans, along with corresponding standard PPI imagery, are also included. Data was collected from January 15, 2012 through March 3, 2012. proprietary +gpmkcxxgcpex_1 GPM GROUND VALIDATION KCXX NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-09 2012-03-12 -78.96, 40.37, -67.38, 48.65 https://cmr.earthdata.nasa.gov/search/concepts/C1980799755-GHRC_DAAC.umm_json The GPM Ground Validation KCXX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkdmx2ifld_1 GPM GROUND VALIDATION NEXRAD LEVEL II KDMX IFLOODS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -99.26, 37.59, -88.18, 45.87 https://cmr.earthdata.nasa.gov/search/concepts/C1980823116-GHRC_DAAC.umm_json The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format. proprietary +gpmkdmx3ifld_1 GPM Ground Validation NEXRAD Level III KDMX IFloodS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -94.1719, 41.282, -93.2737, 42.1802 https://cmr.earthdata.nasa.gov/search/concepts/C1980844236-GHRC_DAAC.umm_json The GPM Ground Validation NEXRAD Level III KDMX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format. proprietary +gpmkdvn2ifld_1 GPM GROUND VALIDATION NEXRAD LEVEL II KDVN IFLOODS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -96.1, 37.47, -85.06, 45.75 https://cmr.earthdata.nasa.gov/search/concepts/C1980884933-GHRC_DAAC.umm_json The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format. proprietary +gpmkdvn3ifld_1 GPM Ground Validation NEXRAD Level III KDVN IFloodS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -91.0439, 41.1643, -90.1457, 42.0625 https://cmr.earthdata.nasa.gov/search/concepts/C1980906311-GHRC_DAAC.umm_json The GPM Ground Validation NEXRAD Level III KDVN IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format. proprietary +gpmkerlpvex_1 GPM Ground Validation C-band Kerava (KER) Radar LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-01 2011-01-31 20.565, 58.142, 29.663, 62.634 https://cmr.earthdata.nasa.gov/search/concepts/C1995569709-GHRC_DAAC.umm_json The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Kerava (KER) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Kerava C-Band Radar data files are available in RAW and UF format from September 21 through October 20, 2010. proprietary +gpmkgldmc3e_1 GPM GROUND VALIDATION KGLD NEXRAD MC3E V1 GHRC_DAAC STAC Catalog 2011-05-18 2011-05-18 -107.04, 35.23, -96.36, 43.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979607582-GHRC_DAAC.umm_json The GPM Ground Validation KGLD NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma; however, this dataset contains data from May 18, 2011 to June 6, 2011. MC3E was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. Radar sites include KGLD, KICT, KINX, KTLX, KTWX, KVNX. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as tarred binary files. proprietary +gpmkgsp2iphx_1 GPM Ground Validation KGSP NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-12 -84.3182, 32.7685, -80.1218, 36.9649 https://cmr.earthdata.nasa.gov/search/concepts/C1981871025-GHRC_DAAC.umm_json The GPM Ground Validation KGSP NEXRAD IPHEx dataset contain data from the KGSP NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkgyxgcpex_1 GPM GROUND VALIDATION KGYX NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-09 2012-03-12 -75.98, 39.75, -64.52, 48.03 https://cmr.earthdata.nasa.gov/search/concepts/C1981898387-GHRC_DAAC.umm_json The GPM Ground Validation KGYX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkhtx2iphx_1 GPM Ground Validation KHTX NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-16 -88.1815, 32.8323, -83.9851, 37.0288 https://cmr.earthdata.nasa.gov/search/concepts/C1981921928-GHRC_DAAC.umm_json The GPM Ground Validation KHTX NEXRAD IPHEx datasets contain data from the KHTX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 16, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkictmc3e_1 GPM GROUND VALIDATION KICT NEXRAD MC3E V1 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -102.663, 33.5181, -92.2231, 41.7919 https://cmr.earthdata.nasa.gov/search/concepts/C1979607865-GHRC_DAAC.umm_json The GPM Ground Validaiton KICT NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files. proprietary +gpmkinxmc3e_1 GPM GROUND VALIDATION KINX NEXRAD MC3E V1 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -100.685, 32.0381, -90.445, 40.3119 https://cmr.earthdata.nasa.gov/search/concepts/C1979615259-GHRC_DAAC.umm_json The GPM Ground Validation KINX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files. proprietary +gpmklgx2olyx_1 GPM Ground Validation KLGX NEXRAD OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-09-22 2016-05-01 -124.784, 46.6742, -123.45, 47.5825 https://cmr.earthdata.nasa.gov/search/concepts/C1981979131-GHRC_DAAC.umm_json The GPM Ground Validation KLGX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 22 September 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkltx2iphx_1 GPM Ground Validation KLTX NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-12 -80.5271, 31.8912, -76.3307, 36.0877 https://cmr.earthdata.nasa.gov/search/concepts/C1982527995-GHRC_DAAC.umm_json The GPM Ground Validation KLTX NEXRAD IPHEx dataset contain data from the KLTX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkmhx2iphx_1 GPM Ground Validation KMHX NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-10 -78.9743, 32.6779, -74.7779, 36.8743 https://cmr.earthdata.nasa.gov/search/concepts/C1982549160-GHRC_DAAC.umm_json The GPM Ground Validation KMHX NEXRAD IPHEx dataset contain data from the KMHX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkmpx2ifld_1 GPM GROUND VALIDATION NEXRAD LEVEL II KMPX IFLOODS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -99.4, 40.71, -87.74, 48.99 https://cmr.earthdata.nasa.gov/search/concepts/C1982568561-GHRC_DAAC.umm_json The GPM Ground Validation Next Generation Weather Radar (NEXRAD) Level II IFloodS datasets were collected from four sites (see Table 1) from March 29, 2013 to June 18, 2013 for the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign in central-northeastern Iowa. Officially, the IFloodS campaign ran from May 1 to June 15, 2013 but the NEXRAD data was collected prior to the start, allowing for the wider period of record. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and select overseas locations. The resulting data includes the base data (Level-II) and the derived products (Level-III). These Level-II datasets include three meteorological base data quantities: reflectivity, mean radial velocity, and spectrum width. The GPM Ground Validation NEXRAD Level II IFloodS data files are in a custom binary format; the visualization and decoding of the data requires specialized software. Browse imagery is available in PNG file format. proprietary +gpmkmpx3ifld_1 GPM Ground Validation NEXRAD Level III KMPX IFloodS GHRC_DAAC STAC Catalog 2013-03-29 2013-06-18 -94.0144, 44.3998, -93.1162, 45.298 https://cmr.earthdata.nasa.gov/search/concepts/C1982587652-GHRC_DAAC.umm_json The GPM Ground Validation NEXRAD Level III KMPX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format. proprietary +gpmkmrx2iphx_1 GPM Ground Validation KMRX NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-12 -85.4999, 34.0704, -81.3035, 38.2668 https://cmr.earthdata.nasa.gov/search/concepts/C1982636929-GHRC_DAAC.umm_json The GPM Ground Validation KMRX NEXRAD IPHEx dataset contain data from the KMRX NEXt Generation Weather RADar system (NEXRAD) instrument in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkorlpvex_1 GPM Ground Validation C-band Korpo (KOR) Radar LPVEx V1 GHRC_DAAC STAC Catalog 2010-10-19 2010-10-19 17.136, 57.884, 26.157, 62.373 https://cmr.earthdata.nasa.gov/search/concepts/C1995569738-GHRC_DAAC.umm_json The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Korpo (KOR) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Korpo C-Band Radar data files are available in RAW and UF format for October 19, 2010. proprietary +gpmkrax2iphx_1 GPM Ground Validation KRAX NEXRAD IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-12 -80.5879, 33.5673, -76.3915, 37.7638 https://cmr.earthdata.nasa.gov/search/concepts/C1982656022-GHRC_DAAC.umm_json The GPM Ground Validation KRAX NEXRAD IPHEx dataset contain data from the KRAX NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmkrtx2olyx_1 GPM Ground Validation KRTX NEXRAD OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-03 2016-05-01 -123.62, 45.2604, -122.322, 46.1723 https://cmr.earthdata.nasa.gov/search/concepts/C1982676252-GHRC_DAAC.umm_json The GPM Ground Validation KRTX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 03 November 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere. proprietary +gpmktlxmc3e_1 GPM GROUND VALIDATION KTLX NEXRAD MC3E V1 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -102.344, 31.1961, -92.2114, 39.47 https://cmr.earthdata.nasa.gov/search/concepts/C1979617112-GHRC_DAAC.umm_json The GPM Ground Validation KTLX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files. proprietary +gpmktwxmc3e_1 GPM GROUND VALIDATION KTWX NEXRAD MC3E V1 GHRC_DAAC STAC Catalog 2011-06-01 2011-06-01 -101.55, 34.86, -90.9161, 43.1339 https://cmr.earthdata.nasa.gov/search/concepts/C1979618378-GHRC_DAAC.umm_json The GPM Ground Validation KTWX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E) which took place in central Oklahoma. The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files. proprietary +gpmktyxgcpex_1 GPM GROUND VALIDATION KTYX NEXRAD GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-09 2012-03-12 -81.39, 39.62, -69.96, 47.89 https://cmr.earthdata.nasa.gov/search/concepts/C1982757348-GHRC_DAAC.umm_json The GPM Ground Validation KTYX NEXRAD GCPEx dataset was collected during January 9, 2012 to March 12, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected toward achieving the overarching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD GCPEx data files are available as level 2 binary files and level 3 compressed binary files. proprietary +gpmkumlpvex_1 GPM Ground Validation C-band Kumpula (KUM) Radar LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-01 2011-01-31 15.914, 55.722, 34.012, 64.687 https://cmr.earthdata.nasa.gov/search/concepts/C1995569868-GHRC_DAAC.umm_json The GPM Ground Validation C-Band Radar LPVEx datasets include radar reflectivity data from the Kumpula (KUM) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Kumpula C-band Radar data files are available in RAW and UF format, with browse imagery in PNG format from September 01, 2010 through January 31, 2011. proprietary +gpmkvnxmc3e_1 GPM GROUND VALIDATION KVNX NEXRAD MC3E V1 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -103.286, 32.6042, -92.9706, 40.8778 https://cmr.earthdata.nasa.gov/search/concepts/C1979618519-GHRC_DAAC.umm_json The GPM Ground Validation KVNX NEXRAD MC3E dataset was collected from April 22, 2011 to June 6, 2011 for the Midlatitude Continental Convective Clouds Experiment (MC3E). The overarching goal of MC3E was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Next Generation Weather Radar system (NEXRAD) is comprised of 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) sites throughout the United States and select overseas locations. The GPM Ground Validation NEXRAD MC3E data files are available as compressed binary files. proprietary +gpmlidargcpex_1 GPM GROUND VALIDATION AEROSOL AND WATER VAPOR LIDAR QUICKLOOKS GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-18 2012-03-03 -79.79, 44.22, -79.77, 44.24 https://cmr.earthdata.nasa.gov/search/concepts/C1979619825-GHRC_DAAC.umm_json The GPM Ground Validation Aerosol and Water Vapor Lidar Quicklooks GCPEx dataset contains imagery generated from the GPM Cold-season Precipitation Experiment (GCPEx) campaign during January - March 2012 in Canada. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The system is configured to run semi-autonomously and shuts down automatically for the duration of rain events. This dataset is comprised of measurements from two Lidar systems: the Semi Autonomous Tropospheric Aerosol Lidar and the Tropospheric Water Vapor Lidar. proprietary +gpmlipiphx_1 GPM Ground Validation Lightning Instrument Package (LIP) IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-14 -121.853, 26.7991, -71.6108, 36.6427 https://cmr.earthdata.nasa.gov/search/concepts/C1995570101-GHRC_DAAC.umm_json The GPM Ground Validation Lightning Instrument Package (LIP) IPHEx dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown aboard a NASA ER-2 high-altitude aircraft during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. These data files are available in ASCII format and browse imagery in PNG format from May 1, 2014 through June 14, 2014. proprietary +gpmmascolyx_1 GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-10 2015-12-13 -129.184, 39.1659, -119.73, 49.4608 https://cmr.earthdata.nasa.gov/search/concepts/C1979620173-GHRC_DAAC.umm_json The GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX dataset consists of microwave radiance measurements collected during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by the MASC aboard the NASA DC-8 aircraft, for dates between November 10, 2016 and December 13, 2016. The data are provided in HDF-EOS5 format. proprietary +gpmmastmetlpvex_1 GPM Ground Validation Kumpula Mast Meteorological Data LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-16 2010-10-21 24.9517, 60.1925, 24.9717, 60.2125 https://cmr.earthdata.nasa.gov/search/concepts/C1979620314-GHRC_DAAC.umm_json The GPM Ground Validation Kumpula Mast Meteorological Data LPVEx dataset is comprised of temperature, radiation, and wind measurements collected by the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) Kumpula Mast in Helsinki, Finland. This occurred during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological dataset files are available from September 17 through October 21, 2010 in ASCII text format. proprietary +gpmmettecgcpex_1 GPM GROUND VALIDATION METEOROLOGICAL TOWER ENVIRONMENT CANADA GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-03-01 -79.93, 44.18, -79.64, 44.69 https://cmr.earthdata.nasa.gov/search/concepts/C1979620588-GHRC_DAAC.umm_json The GPM Ground Validation Meteorological Tower Environment Canada GCPEx dataset provides temperature, relative humidity, 10 m winds, pressure and solar radiation data collected by a suite of standard meteorological instruments attached to a 10 m met tower. The GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data was gathered over the Ontario region of Canada in 2012 from January 15th through March 1st. Browse images are available online. The observation station was assembled by Automated Transportable Meteorological Observation Station (ATMOS). proprietary +gpmmisrepgcpex_1 GPM GROUND VALIDATION MISSION REPORTS GCPEX V1 GHRC_DAAC STAC Catalog 2011-09-06 2012-05-11 -80.7563, 42.7243, -67.7583, 46.9027 https://cmr.earthdata.nasa.gov/search/concepts/C1979621014-GHRC_DAAC.umm_json The GPM Ground Validation Mission Reports GCPEx dataset consists of various reports filed by the scientists during the GPM Cold-season Precipitation Experiment (GCPEx) campaign which took place from January 15 - February 29, 2012 in Ontario, Canada; however, this dataset spans from September 4, 2011 to May 11, 2012. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinating model simulations of precipitating snow. Report categories include the Mission Scientist, Mission Manager, Instrument Scientists, Weather Forecasts and Plan of Day. Many reports have additional information attached. proprietary +gpmmisrepifld_1 GPM GROUND VALIDATION CAMPAIGN REPORTS IFLOODS V1 GHRC_DAAC STAC Catalog 2013-03-22 2014-04-25 -92.3, 37.47, -91.54, 48.99 https://cmr.earthdata.nasa.gov/search/concepts/C1979622469-GHRC_DAAC.umm_json The GPM Ground Validation Campaign Reports IFloodS dataset consists of various reports filed by the scientists during the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment, which took place from April to mid-June 2013 in Iowa. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. Included in this dataset are Mission Scientist, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments. proprietary +gpmmisrepiphx_1 GPM GROUND VALIDATION CAMPAIGN REPORTS IPHEx V1 GHRC_DAAC STAC Catalog 2014-03-06 2014-06-16 -83.09, 35.08, -81, 36.02 https://cmr.earthdata.nasa.gov/search/concepts/C1979623084-GHRC_DAAC.umm_json The Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) campaign was centered in the Southern Appalachians and spanned into the Piedmont and Coastal Plain regions of North Carolina. The campaign sought to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The GPM Ground Validation Mission Reports IPHEx dataset contains reports from the intense campaign period which occurred during May 1, 2014 to June 13, 2014. This dataset consists of various reports filed by the scientists during the campaign. This dataset includes flight reports, weather forecasts, GPM flight forecasts, instrument reports, mission science reports, and plan-of-day reports. Many reports have additional information included as attachments. proprietary +gpmmisrepmc3e_1 GPM GROUND VALIDATION CAMPAIGN REPORTS MC3E V1 GHRC_DAAC STAC Catalog 2011-01-27 2011-06-03 -105.64, 27.957, -91.3954, 48.5123 https://cmr.earthdata.nasa.gov/search/concepts/C1979624154-GHRC_DAAC.umm_json The GPM Ground Validation Campaign Reports MC3E dataset consists of various reports filed by the scientists during the Midlatitude Continental Convective Clouds Experiment (MC3E) campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Several of the reports are from the planning, test flights, and preparation. Included in this dataset are Mission Scientist, Mission Manager, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments. proprietary +gpmmisrepolyx_1 GPM Ground Validation Campaign Reports OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-10-23 2016-01-22 -130.045, 34.6142, -117.881, 49.634 https://cmr.earthdata.nasa.gov/search/concepts/C1979624676-GHRC_DAAC.umm_json The GPM Ground Validation Campaign Reports OLYMPEX dataset consists of flight reports, weather forecasts, instrument reports, scientist summaries, and plan-of-day reports collected during the Global Precipitation Measurement (GPM) Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the GPM. These campaign reports were collected during the intense operating period which occurred during November 2015 to February 2016. The various campaign reports are available in PDF, JPG, PNG, and Microsoft Powerpoint and Word formats, some of which are located within tarred data files. proprietary +gpmmrms_1 GPM Ground Validation Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product V1 GHRC_DAAC STAC Catalog 2014-03-02 2018-10-30 -130, 20, -60, 55 https://cmr.earthdata.nasa.gov/search/concepts/C1980955793-GHRC_DAAC.umm_json The GPM Ground Validation Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product dataset contains precipitation rate and type estimates, quality control products, and precipitation corrective factors products. These data products were created using the NOAA MRMS System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RAP) model analysis fields, and gauge data. It should be noted that these data products are not standard MRMS. Significant post-processing is applied to MRMS to generate products specifically adapted to satellite purposes and needs over North America. These data are available from March 2, 2014 through October 30, 2018 in ASCII format. proprietary +gpmmrrdukeiphx_1 GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx GHRC_DAAC STAC Catalog 2014-05-01 2014-06-15 -83.0743, 35.5843, -82.5814, 35.8894 https://cmr.earthdata.nasa.gov/search/concepts/C1979626644-GHRC_DAAC.umm_json The GPM Ground Validation Duke Micro Rain Radar (MRR) IPHEx dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 1, 2014 through June 15, 2014. The dataset contains measured and derived data from three MRR instruments placed in separate locations within the study region. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. Data files are available in ASCII data format. proprietary +gpmmrrecgcpex2_2 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MICRO RAIN RADAR (MRR) GCPEX GHRC_DAAC STAC Catalog 2012-01-01 2012-03-14 -81, 43.5, -78, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979627039-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Micro Rain Radar (MRR) GCPEx V2 dataset was collected from the Micro Rain Radar (MRR) during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada during the winter season 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Operating at 24 GHz the MRR, a vertically pointing Doppler radar, retrieved quantitative rain rates, drop size distributions, radar reflectivity, and fall velocities on vertical profiles up to several kilometers above the unit. The MRR used during GCPEX is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/). Version 2 of this dataset became active on April 30, 2015. proprietary +gpmmrrhymex_1 GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA HYMEX V1 GHRC_DAAC STAC Catalog 2012-09-07 2012-11-12 4.06, 41.8, 12.5, 44.2 https://cmr.earthdata.nasa.gov/search/concepts/C1979627522-GHRC_DAAC.umm_json The GPM Ground Validation NASA Micro Rain Radar (MRR) HyMeX is a vertically pointing Doppler radar that obtained measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor during the HYdrological cycle in Mediterranean EXperiment (HyMeX) campaign. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global change. Furthermore, this campaign aimed to improve observational and modelling systems, better predict extreme events, simulate the long-term water-cycle, and provide guidelines for adaptation measures. Special Observation Period 1 (SOP1), which was from September 5 to November 6, 2012, was dedicated to heavy precipitation and flash-flooding. More information about HyMeX is available at http://www.hymex.org/. proprietary +gpmmrricepop_1 GPM Ground Validation Micro Rain Radar (MRR) ICE POP V1 GHRC_DAAC STAC Catalog 2017-11-01 2018-03-01 128.717, 37.6754, 128.808, 37.74 https://cmr.earthdata.nasa.gov/search/concepts/C1979627999-GHRC_DAAC.umm_json The GPM Ground Validation Micro Rain Radar (MRR) ICE POP dataset was collected during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This dataset consists of precipitation data collected by two MRR instruments from November 1, 2017 to March 1, 2018. These data are available in netCDF-3 and ASCII text formats. proprietary +gpmmrrlpvex_1 GPM Ground Validation Micro Rain Radar (MRR) LPVEx V1 GHRC_DAAC STAC Catalog 2010-05-19 2011-03-30 21.3281, 59.3778, 25.6294, 60.4864 https://cmr.earthdata.nasa.gov/search/concepts/C1979628511-GHRC_DAAC.umm_json The GPM Ground Validation Micro Rain Radar (MRR) LPVEx dataset was collected during the Global Precipitation Measurement (GPM) mission Ground Validation Light Precipitation Validation Experiment (LPVEx) field campaign. The LPVEx field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high altitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. The dataset contains measured and derived data from MRR instruments placed at four remote sites (Jarvenpaa, Emasalo, Harmaja, and the research vessel Aranda). Data files are available in ASCII data format. proprietary +gpmmrrnaachiphx_1 GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA ACHIEVE IPHEX V1 GHRC_DAAC STAC Catalog 2014-05-06 2014-06-15 -83.176, 35.482, -83.044, 35.562 https://cmr.earthdata.nasa.gov/search/concepts/C1979629744-GHRC_DAAC.umm_json The GPM Ground Validation Micro Rain Radar (MRR) NASA ACHIEVE IPHEx dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 1, 2014 through June 15, 2014. The dataset includes data from the MRR instrument, which is part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM–CW) radar that measures Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation. Data files are available in ASCII 'ave' data format. proprietary +gpmmrrnagcpex2_2 GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) GCPEX GHRC_DAAC STAC Catalog 2011-10-24 2012-03-13 -79.7814, 44.1806, -79.7175, 44.2336 https://cmr.earthdata.nasa.gov/search/concepts/C1979629962-GHRC_DAAC.umm_json The GPM Ground Validation NASA Micro Rain Radar (MRR) GCPEx dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the GPM Cold-season Precipitation Experiment (GCPEx), which took place in Canada during Winter 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz, and it is the second generation of the instrument manufactured by METEK (http://metek.de/product/mrr-2/). NASA MRR data was collected from late October 2011 through March 2013. Version 2 of the dataset became active on 13-May-2015. proprietary +gpmmrrnaifld_1 GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IFLOODS V1 GHRC_DAAC STAC Catalog 2013-04-11 2013-06-16 -92.5, 41.8, -91.8, 42.3 https://cmr.earthdata.nasa.gov/search/concepts/C1979630589-GHRC_DAAC.umm_json The GPM Ground Validation Micro Rain Radar (MRR) NASA IFloodS dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provided measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor during the Iowa Flood Study (IFloodS), which took place in eastern Iowa during the spring of 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. A total of four MRRs were deployed, each adjacent to a two-dimensional video disdrometer (2DVD). Each MRR-2DVD site had one or more Autonomous Parsivel2 Unit (APU) with tipping bucket rain gauges either collocated or within 4-8 km away. The dataset covers the period of April 11, 2013 through June 16, 2013, but each MRR deployed may not contain data during the entirety of this period. proprietary +gpmmrrnaiphx_1 GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IPHEX V1 GHRC_DAAC STAC Catalog 2014-04-22 2014-10-17 -83.1, 35.22, -83.05, 35.52 https://cmr.earthdata.nasa.gov/search/concepts/C1979631125-GHRC_DAAC.umm_json The GPM Ground Validation NASA Micro Rain Radar (MRR) is a vertically pointing Doppler radar which provided measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx), which took place in western North Carolina during the spring of 2014. A total of four MRRs were deployed, some co-located with other instruments and some were moved to different locations during the campaign. The dataset covers the period of April 22, 2014 through June 16, 2014, but each MRR deployed may not contain data during the entirety of this period. Two MRRs remained deployed through October 17, 2014 and data from these are also included in this dataset. proprietary +gpmmrrnamc3e_1 GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) MC3E GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -97.4872, 36.605, -97.4869, 36.6058 https://cmr.earthdata.nasa.gov/search/concepts/C1979632108-GHRC_DAAC.umm_json The GPM Ground Validation NASA Micro Rain Radar (MRR) MC3E dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in Oklahoma during the Spring of 2011. The MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz, and is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/). proprietary +gpmmrrolyx_1 GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX V1 GHRC_DAAC STAC Catalog 2014-10-30 2016-05-22 -123.993, 47.3599, -123.499, 47.9704 https://cmr.earthdata.nasa.gov/search/concepts/C1979632302-GHRC_DAAC.umm_json The GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX dataset was gathered during the Global Precipitation Measurement (GPM) Ground Validation OLYMPEX field campaign held at Washington’s Olympic Peninsula from October 31, 2014 through May 22, 2016. The dataset contains measured and derived data from MRR instruments placed in four separate locations within the study region. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived. Data files are available in ASCII data format. proprietary +gpmmwrdukeiphx_1 GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx GHRC_DAAC STAC Catalog 2014-05-01 2014-06-15 -83.0948, 35.5199, -82.6604, 35.8046 https://cmr.earthdata.nasa.gov/search/concepts/C1979634924-GHRC_DAAC.umm_json The GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx dataset consists of data collected by the MWR, which is a sensitive microwave radiometer that detects the microwave radiances at two frequencies: 23.8 and 31.4 GHz. The measurements are are used to determine the presence of vapor and liquid water molecules in the atmosphere along with other derived parameters. These data were obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) field experiment, which was held in North Carolina with the goal to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These data are available for May 1, 2014 through June 15, 2014 and are in netCDF-3 format. proprietary +gpmnavcitgcpex2_2 GPM GROUND VALIDATION UND CITATION NAVIGATION DATA GCPEX V2 GHRC_DAAC STAC Catalog 2012-01-19 2012-02-24 -80.549, 43.4595, -78.7659, 46.3966 https://cmr.earthdata.nasa.gov/search/concepts/C1979635204-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Navigation Data GCPEx V2 dataset was collected by the Cessna Citation II Research, which was aircraft, owned, and operated by the University of North Dakota (UND), participated in the GPM Cold-season Precipitation Experiment (GCPEx) by serving as an in situ microphysics sampling platform. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement Data User Guide of the overarching goal of GCPEx, which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The GCPEx navigation data set collected wind speed amongst several other parameters. It would also be beneficial to list the other parameters it collected. proprietary +gpmnavcitiphx_1 GPM GROUND VALIDATION UND CITATION NAVIGATION DATA IPHEx V1 GHRC_DAAC STAC Catalog 2014-03-06 2014-06-13 -81, 43.5, -78, 46.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979635316-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Navigation Data IPHEx dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during March 6, 2014 through June 13, 2014 for the Global Precipitation Measurement Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The Cessna Citation II Research aircraft, owned and operated by the University of North Dakota (UND), participated in the IPHEx field campaign by serving as an in situ microphysics sampling platform. This navigation dataset consists of final processed files containing records that include flight time, aircraft location (latitude, longitude, and altitude), air temperature, wind speed, and other relevant aircraft parameters in ASCII format. proprietary +gpmnavcitmc3e_1 GPM GROUND VALIDATION UND CITATION NAVIGATION DATA MC3E V1 GHRC_DAAC STAC Catalog 2011-04-01 2011-06-02 -99.4669, 34.3247, -95.2302, 48.5123 https://cmr.earthdata.nasa.gov/search/concepts/C1979635449-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Navigation Data MC3E dataset was collected by the Cessna Citation II Research aircraft owned and operated by the University of North Dakota (UND) participated in the Midlatitude Continental Convective Clouds Experiment (MC3E) supplying navigation data and also carrying cloud microphysics instruments. This navigation dataset consists of files (.txt) from UND containing records with flight time (UT seconds from midnight) and aircraft latitude, longitude and altitude. The dataset also contains the IWG1 data collected during the mission. Data was collected from April 1, 2011 through June 2, 2011. proprietary +gpmnavcitolyx_1 GPM Ground Validation UND Citation Navigation Data OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-11-12 2015-12-19 -126.129, 46.2209, -122.134, 48.2994 https://cmr.earthdata.nasa.gov/search/concepts/C1979636604-GHRC_DAAC.umm_json The GPM Ground Validation UND Citation Navigation Data OLYMPEX dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during November 12, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) GPM Ground Validation field campaign. This navigation dataset consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements in ASCII format. proprietary +gpmnavdc8gcpex_1 GPM GROUND VALIDATION DC-8 NAVIGATION AND HOUSEKEEPING DATA GCPEX GHRC_DAAC STAC Catalog 2012-01-11 2020-02-06 -124.985, 31.5641, -67.7583, 46.9027 https://cmr.earthdata.nasa.gov/search/concepts/C1979637107-GHRC_DAAC.umm_json The GPM Ground Validation DC-8 Navigation and Housekeeping Data GCPEx dataset, which is composed of two types of files. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. National Suborbital Education and Research Center (NSERC) of the University of North Dakota (UND) provided geo-located housekeeping data containing attributes, such as altitude, pressure, air speed, and wind speed. The NASA DC-8 Navigation data in comma delimited IWG1 format were collected and utilized in-flight during the GCPEx mission and retrieved from the Real-Time Mission Monitor. Both file types are available for most of the dataset dates, however please note that there are a few dates where only the IWG1 formatted data is available. proprietary +gpmnavdc8olyx_1 GPM Ground Validation Navigation Data DC-8 OLYMPEX GHRC_DAAC STAC Catalog 2015-11-05 2015-12-19 -129.061, 30.3686, -117.797, 49.3344 https://cmr.earthdata.nasa.gov/search/concepts/C1979637324-GHRC_DAAC.umm_json The GPM Ground Validation NASA DC-8 Navigation Data OLYMPEX dataset supplies navigation data collected by the NASA DC-8 aircraft for flights that occurred during November 5, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) GPM Ground Validation field campaign. This navigation dataset consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements in ASCII-IWG1 and XML data formats. proprietary +gpmnaver2iphx_1 GPM Ground Validation NASA ER-2 Navigation Data IPHEx GHRC_DAAC STAC Catalog 2014-05-04 2014-06-13 -86.562, 30.3944, -71.6108, 36.6427 https://cmr.earthdata.nasa.gov/search/concepts/C1979637631-GHRC_DAAC.umm_json The GPM Ground Validation NASA ER-2 Navigation Data IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina. The ER-2 Aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments onboard the aircraft acted as a proxy for GPM satellite instruments. Twenty-one ER-2 flights occurred during May 1, 2014 through June 14, 2014. The dataset consists of navigation data, as well as meteorological parameters collected by an on-board navigation recorder every second of the flight. The data are available in ASCII and XML formats. proprietary +gpmnaver2olyx_1 GPM Ground Validation NASA ER-2 Navigation Data OLYMPEX GHRC_DAAC STAC Catalog 2015-11-09 2015-12-15 -130.045, 34.1577, -117.775, 49.634 https://cmr.earthdata.nasa.gov/search/concepts/C1979637800-GHRC_DAAC.umm_json The GPM Ground Validation NASA ER-2 Navigation Data OLYMPEX dataset supplies navigation data collected by the NASA ER-2 aircraft for flights that occurred during November 9, 2015 through December 15, 2015 for one of the GPM Ground Validation field campaigns called the Olympic Mountains Experiment (OLYMPEX). This navigation dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements in ASCII, ASCII-IWG1, and XML data file formats. proprietary +gpmncamdc8gcpex_1 GPM GROUND VALIDATION DC-8 CAMERA NADIR GCPEX GHRC_DAAC STAC Catalog 2012-02-20 2012-02-20 -80.4001, 43.4044, -67.495, 47.0861 https://cmr.earthdata.nasa.gov/search/concepts/C1979637994-GHRC_DAAC.umm_json The GPM Ground Validation DC-8 Camera Nadir GCPEx dataset contains geo-located, visible-wavelength imagery of the ground obtained from the nadir camera aboard the NASA DC-8 in Canada during the Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The data is available only for February 20, 2012, a clear-air flight day. DC-8 Camera nadir data may be useful for determining snow cover and lake ice cover for emissivity studies. The dataset also includes, for convenience and reproducibility, aircraft navigation information and ground temperatures to aid in emissivity retrievals. proprietary +gpmnmqifld_1 GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IFloodS GHRC_DAAC STAC Catalog 2013-04-01 2013-06-30 -130, 20, -60, 55 https://cmr.earthdata.nasa.gov/search/concepts/C1982783702-GHRC_DAAC.umm_json The GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IFloodS dataset contains quality control products, real time rain rate estimates, hourly precipitation rate estimates, and three-dimensional reflectivity products. These data products are also referred to as Multi-Radar Multi-Sensor Precipitation Reanalysis for Satellite Validation (MRMS) product and were created using the NOAA NMQ System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RUC) model analysis fields, and Hydrometeorological Automated Data Systems (HADS) gauge data. The files provided in this dataset are from the NMQ system output obtained during the GPM Iowa Flood Studies (IFloodS) field campaign that occurred throughout Iowa. These data are available in ASCII, netCDF-4, and binary formats for the dates between April 1, 2013 through June 30, 2013. proprietary +gpmnmqiphx_1 GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IPHEx GHRC_DAAC STAC Catalog 2014-04-30 2014-06-16 -87.1, 32.7, -78.695, 38.705 https://cmr.earthdata.nasa.gov/search/concepts/C1980963390-GHRC_DAAC.umm_json The GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IPHEx dataset consists of six different data products: precipitation rate, hourly rainfall accumulation, daily rainfall accumulation, hybrid scan reflectivity, three-dimensional reflectivity, and vertically integrated liquid content estimates. These data products were created using the NOAA NMQ System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RUC) model analysis fields, and Hydrometeorological Automated Data Systems (HADS) gauge data. The files provided in this dataset are from system output during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign that occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. These data are available in ASCII and netCDF-4 formats for dates between April 30, 2014 through June 16, 2014. proprietary +gpmnoxpiphx_1 GPM Ground Validation NOAA X-band Polarimetric Radar (NOXP) IPHEx GHRC_DAAC STAC Catalog 2014-04-21 2014-06-15 -83.9083, 34.5671, -81.9141, 36.5613 https://cmr.earthdata.nasa.gov/search/concepts/C1982808837-GHRC_DAAC.umm_json The GPM Ground Validation NOAA X-band dual-Polarimetric radar (NOXP) IPHEx dataset consists of differential reflectivity, differential phase shift, co-polar cross correlation, radial Doppler velocity, spectrum width, signal index, melting layer index, reflectivity, drop size distribution, and rainfall rate observations, as well as other radar parameters, collected by NOXP mobile radar during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. The IPHEx field campaign occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The NOXP radar, operated by the NOAA National Severe Storm Laboratory (NSSL), was positioned in the Pigeon River basin of the Great Smoky Mountains of North Carolina. NOXP data are available in netCDF-3 format for dates between April 21, 2014 through June 15, 2014. The dataset includes weather condition photos taken at the NOXP radar site in JPG format. proprietary +gpmnpolifld2_2 GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR IFLOODS GHRC_DAAC STAC Catalog 2013-04-30 2013-06-16 -92.5128, 42.2656, -92.5056, 42.2708 https://cmr.earthdata.nasa.gov/search/concepts/C1979638123-GHRC_DAAC.umm_json The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IFloodS dataset was collected from April 30 to June 16, 2013 near Traer, Iowa as part of the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) campaign. Officially the IFloodS campaign ran from May 1 to June 15 but the NPOL Doppler radar was installed and calibrated prior to the start, allowing for the wider period of record. The NPOL radar, developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected and operated nearly continuously during the IFloodS field campaign. It takes accurate volumetric measurements of precipitation including rainfall rate, particle size distributions, water content and precipitation type. The NPOL Doppler Radar IFloodS data is available in Universal Format (UF) with browse images available in PNG file format. proprietary +gpmnpoliphx_1 GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IPHEx GHRC_DAAC STAC Catalog 2014-04-27 2014-06-16 -81.9631, 35.1958, -81.9631, 35.1958 https://cmr.earthdata.nasa.gov/search/concepts/C1979638428-GHRC_DAAC.umm_json The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IPHEx dataset was collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign conducted in South Carolina from April 27, 2014 through June 16, 2014. The NPOL Doppler Radar scanned in high-resolution Plan Position Indicator (PPI), Range-Height Indicator (RHI), and PPI Sector (PPS) scan modes and provided measurements of precipitation in liquid, mixed, and ice phases. Data files are available in tarred universal format (UF) files, and browse images are available in compressed PNG files. proprietary +gpmnpolmc3e_1 GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR MC3E GHRC_DAAC STAC Catalog 2011-04-11 2011-06-03 -99, 35, -95.5, 38 https://cmr.earthdata.nasa.gov/search/concepts/C1979638913-GHRC_DAAC.umm_json The GPM Ground Validation NASA S-band Dual Polarimetric (NPOL) Doppler Radar MC3E dataset was collected by the NASA NPOL radar, which was developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected data nearly continuously during the Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. NPOL scanned in high resolution Range Height Indicator (RHI) mode (every 40 sec) and provided measurements of precipitation in liquid, mixed and ice phase. The scanning strategy emphasized vertical structure sampling via RHI and narrow sector-volume data collections. Additional files were processed from the UF files using the Colorado State University (CSU) Hydrometeor Identification Algorithm (HID) providing classification of hydrometeors (e.g. rain, drizzle, hail, ice crystals, wet or dry snow, graupel density). Data was collected from April 11, 2011 through June 3, 2011. proprietary +gpmnpololyx2_2 GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar OLYMPEX GHRC_DAAC STAC Catalog 2015-11-05 2016-01-15 -126.275, 45.9605, -122.256, 48.6684 https://cmr.earthdata.nasa.gov/search/concepts/C1979639066-GHRC_DAAC.umm_json The GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar OLYMPEX V2 dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL radar during the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. NPOL,developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric Doppler research radar that was placed near the ocean on the Olympic Peninsula. Data files are available from November 5, 2015 thru January 15, 2016 in Universal Format (UF), with browse imagery files in PNG format containing corrected radar reflectivity, differential reflectivity, specific differential phase, differential phase, co-polar correlation, and Doppler velocity images. proprietary +gpmnpolwff_1 GPM Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar Wallops Flight Facility (WFF) GHRC_DAAC STAC Catalog 2013-12-06 2017-04-28 -77.1056, 36.8989, -73.6272, 39.6219 https://cmr.earthdata.nasa.gov/search/concepts/C1979639203-GHRC_DAAC.umm_json The GPM Ground Validation NASA S-Band Dual-Polarimetric (NPOL) Doppler Radar Wallops Flight Facility (WFF) dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL doppler radar positioned at the Wallops Flight Facility (WFF) in support of the Global Precipitation Mission (GPM). NPOL was developed by scientists at WFF and is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric Doppler research radar that was placed near Newark, Maryland between GPM GV missions. Data files are available from December 6, 2013 thru April 28, 2017 in Universal Format (UF), with browse files in PNG format containing images of corrected radar reflectivity, differential reflectivity, specific differential phase, co-polar correlation, and Doppler velocity images. Data are tarred into daily collections of files and zipped for storage and quick download. proprietary +gpmnrlrtifld_1 GPM Ground Validation Naval Research Laboratory (NRL) Near-Real Time Rain Rates IFloodS GHRC_DAAC STAC Catalog 2013-04-23 2013-06-30 -179.875, -59.875, 179.875, 59.875 https://cmr.earthdata.nasa.gov/search/concepts/C1979639569-GHRC_DAAC.umm_json The GPM Ground Validation Naval Research Laboratory (NRL) Near-Real Time Rain Rates IFloodS data product was created for the GPM Iowa Flood Studies (IFloodS) field campaign from April 23, 2013 through June 30, 2013. The IFloodS field campaign was a ground measurement campaign that took place in eastern Iowa. The goals of the campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This NRL real time rain rates data product was produced using the Probability Matching Method with rain gauge, Defense Meteorological Satellite Program (DMSP) F15 Special Sensor Microwave - Imager (SSM/I), and DMSP F16 Special Sensor Microwave - Imager/Sounder (SSMIS) data. This data product includes rain rate estimates and files are available in netCDF-4 and binary formats, as well as corresponding browse imagery in JPG format. proprietary +gpmodmlpvex_1 GPM Ground Validation Optical Disdrometer (ODM) LPVEx GHRC_DAAC STAC Catalog 2010-09-15 2010-09-26 21.3281, 59.3778, 25.5378, 60.2792 https://cmr.earthdata.nasa.gov/search/concepts/C1995569990-GHRC_DAAC.umm_json The GPM Ground Validation Optical Disdrometer (ODM) LPVEx dataset consists of precipitation particle size distribution data collected by the Eigenbrodt Optical Disdrometer (ODM) deployed onboard the RV Aranda research vessel. ODM was specifically designed to measure precipitation on ship-based platforms that experience high and variable winds. ODM’s ability to maintain the optimal orientation with respect to the wind allows it to obtain more accurate precipitation measurements in this type of environment. The ODM data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The overarching goals of LPVEx were to detect and understand the process of light rainfall formation at high latitudes and to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The ODM dataset files are available in ASCII text format from September 15 through September 26, 2010. proprietary +gpmopasscgcpex_1 GPM GROUND VALIDATION CARE SATELLITE OVERPASS IMAGES GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-02-28 -87, 41, -73, 47.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979643006-GHRC_DAAC.umm_json The GPM Ground Validation CARE Satellite Overpass GCPEx Images are the satellite overpass images for the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada, January 15, 2012 through February 28, 2012. GCPEx addressed limitations in the GPM snowfall retrieval algorithm through the collection of microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The satellite tracks include the DMSP satellite numbers 15, 16, 17, 18, and 19. A list of starting overpass times per satellite and day is included. proprietary +gpmopassolyx_4 GPM Ground Validation Composite Satellite Overpasses OLYMPEX GHRC_DAAC STAC Catalog 2015-11-01 2016-05-01 -157.22, 37.3591, -88.4232, 57.4634 https://cmr.earthdata.nasa.gov/search/concepts/C1979643229-GHRC_DAAC.umm_json The GPM Ground Validation Composite Satellite Overpasses OLYMPEX dataset provides brightness temperature, precipitation, and total column water vapor estimates from multiple satellite overpasses including DMSP F16-19, GCOM-W1, GPM, MetOp, NOAA, and NPP for the OLYMPEX field campaign. The OLYMPEX field campaign took place between November, 2015, and January, 2016, with additional ground sampling continuing through February, on the Olympic Peninsula in the Pacific Northwest of the United States. This field campaign provides ground-based validation support of the findings resulting from the Global Precipitation Measurement (GPM) Core Observatory satellite. Data files are available from November 1, 2015 thru May 1, 2016 in HDF-5 format. proprietary +gpmoumesmc3e_1 GPM GROUND VALIDATION OKLAHOMA CLIMATOLOGICAL SURVEY MESONET MC3E GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -103, 33.28, -94, 37 https://cmr.earthdata.nasa.gov/search/concepts/C1982849730-GHRC_DAAC.umm_json The GPM Ground Validation Oklahoma Climatological Survey Mesonet MC3E data were collected during the Midlatitude Continental Convective Clouds Experiment (MC3E) in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Collected by a network of weather stations, this dataset is composed of 15 minute and 5 minute files with one file per site per day in mts format. Data can be read as ASCII text. Multiple parameters found in this dataset include relative humidity, air temperature, wind speed and direction, precipitation and calibrated soil moisture. More information on the contents and data format can be found at http://www.mesonet.org/index.php/site/about/mdf_mts_files. proprietary +gpmpadukeiphx_1 GPM Ground Validation Duke Parsivel IPHEx GHRC_DAAC STAC Catalog 2014-05-01 2014-06-30 -83.5904, 35.0833, -82.2711, 35.8858 https://cmr.earthdata.nasa.gov/search/concepts/C1979656586-GHRC_DAAC.umm_json The GPM Ground Validation Duke Parsivel IPHEx dataset were collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign which was held in the Southern Appalachian region, including the Piedmont and Coastal Plain regions, of North Carolina. OTT laser-based Parsivel instruments operated from May 1, 2014 through June 30, 2014. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The parsivel data are available in ASCII-csv format for each of the parsivel locations and contain precipitation intensity and drop parameters. proprietary +gpmpagcpex_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) GCPEX V1 GHRC_DAAC STAC Catalog 2011-10-26 2012-03-10 -79.9279, 44.1765, -79.6403, 44.6862 https://cmr.earthdata.nasa.gov/search/concepts/C1979657178-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The APU dataset for GCPEx provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, counts and distribution. The GCPEx APU data was collected from several sites in Canada during the Winter 2011-2012 period. proprietary +gpmpahymex_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) HYMEX V1 GHRC_DAAC STAC Catalog 2012-09-07 2012-11-07 3.88472, 41.7827, 14.2142, 44.0961 https://cmr.earthdata.nasa.gov/search/concepts/C1979658097-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) HyMeX dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global changeThe APU dataset for HyMeX provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, snowflake counts, and snowflake distribution. The HyMeX APU data were collected in Italy and France from September to November 2012. proprietary +gpmpaifld_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) IFLOODS V1 GHRC_DAAC STAC Catalog 2013-03-16 2013-06-17 -92.4637, 41.6406, -91.5416, 42.2388 https://cmr.earthdata.nasa.gov/search/concepts/C1979658622-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) IFloodS dataset collected data from several sites in eastern Iowa during the spring of 2013. The APU dataset for the Iowa Flood Studies (IFloodS) Field Experiment provides precipitation data including precipitation drop size, counts, and distribution. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The APU is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. proprietary +gpmpaiphx_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) IPHEx V1 GHRC_DAAC STAC Catalog 2013-10-28 2014-06-19 -83.4973, 35.0833, -81.8332, 36.0144 https://cmr.earthdata.nasa.gov/search/concepts/C1979660071-GHRC_DAAC.umm_json The GPM Ground Validation NASA Autonomous Parsivel Unit (APU) IPHEx dataset was acquired by multiple parsivel instruments during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx), which took place in western North Carolina. IPHEx sought to characterize warm season orographic precipitation regimes, and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The APU, an optical disdrometer based on single particle extinction, measures particle size, and fall velocity. ASCII encoded data files contain information on the drop size distribution and integral precipitation parameters such as precipitation rate, reflectivity, and mass-weighted mean diameter. proprietary +gpmpal_1 GPM Ground Validation Passive Aquatic Listener (PAL) GHRC_DAAC STAC Catalog 2010-10-18 2021-07-28 -179.999, -18.928, 179.999, 53.335 https://cmr.earthdata.nasa.gov/search/concepts/C2683417176-GHRC_DAAC.umm_json The GPM Ground Validation Passive Aquatic Listener (PAL) dataset contains underwater hydrophone data at a one-minute time step with a typical 5 km diameter footprint when deployed or drifting at 1 km depth. Areal rain rate and wind speed estimates are mutually exclusive, meaning that time periods that are unambiguously identified as rain are used to estimate rain rate, and wind speed is only estimated in the absence of rain. The data are available in netCDF-4 format and include time, interpolated geolocation data, the rain rate or wind speed estimates for each time, and location pair. PALs are deployed irregularly on Argo ocean profiling floats and moorings, typically as part of field campaigns. As such, the number of PALs collecting data is inconsistent in time and space. The entire dataset covers the period from October 18, 2010, through July 28, 2021. proprietary +gpmpalpvex_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) LPVEX V1 GHRC_DAAC STAC Catalog 2010-09-15 2011-01-12 21.5013, 59.3335, 27.4909, 60.4864 https://cmr.earthdata.nasa.gov/search/concepts/C1979661779-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) LPVEx dataset provides rainfall data for the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment collected at four sites in Finland: Harmaja, Emasalo, Jarvenpaa, and the Gulf of Finland (Aranda) during the Light Precipitation Validation Experiment (LPVEx), which took place during September and October of 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. proprietary +gpmpamc3e_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) MC3E V1 GHRC_DAAC STAC Catalog 2011-04-15 2011-06-06 -97.5522, 36.5641, -97.4262, 36.638 https://cmr.earthdata.nasa.gov/search/concepts/C1979662455-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) MC3E dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The APU dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides precipitation data including raindrop size, precipitation drop size, precipitation rate and amount. The Midlatitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms. proprietary +gpmpanoaamc3e_1 GPM GROUND VALIDATION NOAA PARSIVEL MC3E GHRC_DAAC STAC Catalog 2011-04-05 2011-06-06 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979663392-GHRC_DAAC.umm_json The GPM Ground Validation NOAA Parsivel MC3E dataset was collected in central Oklahoma during the Midlatitude Continental Convective Clouds Experiment (MC3E) from April 5, 2011 through June 6, 2011. The NOAA Parsivel dataset includes processed data consisting of either moment data (e.g., reflectivity and rain rate estimates) or raindrop number concentration estimates; the data provided a reference reflectivity to calibrate the S-band profiler during the experiment. The moment data includes 1-minute resolution estimates of rain rate, reflectivity, and other parameters related to the health of the Parsivel instrument. The raindrop number concentration data are also at 1-minute resolution and are the result of converting the observed raindrop passing the sensor into the number of raindrops expected in a unit volume per diameter interval. Both the moment data and the number concentration data were saved in daily files in ASCII format. Daily images were also generated from the Parsivel observations and contain the 1-minute reflectivity, rain rate, and number concentration N(D); browse images are saved in TIF format. proprietary +gpmpansstc_1 GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) NSSTC V1 GHRC_DAAC STAC Catalog 2010-06-08 2011-03-30 -86.64, 34.71, -86.63, 34.72 https://cmr.earthdata.nasa.gov/search/concepts/C1979663924-GHRC_DAAC.umm_json The GPM Ground Validation Autonomous Parsivel Unit (APU) NSSTC dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. This dataset provides rainfall data for the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center (NSSTC) in Huntsville, Alabama. The validation effort will entail numerous GPM-specific and joint-agency/international external field campaigns, using state of the art cloud and precipitation observational infrastructure. Surface rainfall will be measured by very dense rain gauge and disdrometer networks at various field campaign sites. There may be occasional gaps in the data when the instrument is not resident at the NSSTC and is sent to participate in field campaigns. proprietary +gpmparawifld_1 GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-01 2013-05-24 -92.2749, 41.3826, -91.323, 42.142 https://cmr.earthdata.nasa.gov/search/concepts/C1979666077-GHRC_DAAC.umm_json The GPM Ground Validation Raw Autonomous Parsivel Unit (APU) IFloodS dataset was collected by 14 Autonomous Parsivel Unit (APU) sites in eastern Iowa during the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) field campaign. The campaign aimed to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. APU is an optical disdrometer system that measures precipitation particle size and fall velocity. This dataset consists of APU-calculated parameters and unfiltered drop spectrum data. The dataset files are available in ASCII text format from April 1 through May 24, 2013. Officially, the IFloodS campaign ran from May 1 to June 15, 2013, but the APUs were installed and had begun collecting data prior to the start of the campaign. proprietary +gpmparprbgcpex_1 GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES GCPEX GHRC_DAAC STAC Catalog 2012-01-19 2012-02-24 -80.549, 43.4595, -78.7659, 46.3966 https://cmr.earthdata.nasa.gov/search/concepts/C1979667328-GHRC_DAAC.umm_json The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx data was collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada during the winter season of 2011 through 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected January 16, 2012 through February 25, 2012. A related cloud microphysics dataset, GPM Ground Validation UND Citation Cloud Microphysics GCPEx is also available. proprietary +gpmparprbiphx_1 GPM Ground Validation NCAR Particle Probes IPHEx GHRC_DAAC STAC Catalog 2014-05-09 2014-06-12 -84.934, 30.3971, -75.3234, 36.4839 https://cmr.earthdata.nasa.gov/search/concepts/C1979667535-GHRC_DAAC.umm_json The GPM Ground Validation NCAR Particle Probes IPHEx dataset consists of Ice Water Content (IWC), particle number concentration normalized by bin width, and total particle number concentration data that were collected from three particle probes onboard the University of North Dakota (UND) Citation II aircraft during the Global Precipitation Mission (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx). These instruments include the PMS Two-Dimensional Cloud probe (2D-C), the SPEC Two-Dimensional Stereo probe (2D-S), and the SPEC High Volume Precipitation Spectrometer version 3 (HVPS-3). The IPHEx campaign took place in North Carolina with the goal of evaluating the accuracy of satellite precipitation measurements and using the collected data for hydrology models in the region. The campaign’s intense study period occurred from May 1 through June 15, 2014. All instruments are two-dimensional optical array probes which record images of particles that travel through the sampling area. The data files are available from May 9 through June 12, 2014 in ASCII format using the NASA Ames format specification. Browse images of instrument array 5-sec measurements are available in PNG format. proprietary +gpmparprbmc3e_1 GPM GROUND VALIDATION NCAR CLOUD MICROPHYSICS PARTICLE PROBES MC3E GHRC_DAAC STAC Catalog 2011-04-22 2011-06-02 -98.5, 35.5, -96.5, 37.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979667818-GHRC_DAAC.umm_json The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was collected during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterization and space-based rainfall retrieval algorithms over land that had never before been available. The GPM Ground Validation NCAR Cloud Microphysics Particle Probes MC3E dataset was obtained from three instruments carried aboard the University of North Dakota (UND) Cessna Citation aircraft. These probes, the 2D-C, Cloud Imaging Probe (CIP) and High Volume Precipitation Spectrometer (HVPS-3), collected particle size distributions and particle images which were processed by the National Center for Atmospheric Research (NCAR). Data were collected April 22, 2011 through June 2, 2011. proprietary +gpmparprbolyx_1 GPM Ground Validation NCAR Particle Probes OLYMPEX GHRC_DAAC STAC Catalog 2015-11-12 2015-12-20 -126.129, 46.2209, -97.1811, 48.3535 https://cmr.earthdata.nasa.gov/search/concepts/C1979667997-GHRC_DAAC.umm_json The GPM Ground Validation NCAR Particle Probes OLYMPEX dataset consists of ice water content, particle concentration normalized by bin width, and total particle concentration collected from three instruments flown on the University of North Dakota (UND) Citation aircraft during selected dates in November and December 2015. The PMS Two-Dimensional Cloud probe (2D-C), the SPEC Two-dimensional Stereo probe (2D-S), and two SPEC High Volume Precipitation Spectrometer 3 (HVPS-3) instruments were used in the Global Precipitation Mission (GPM) Olympic Mountains Experiment (OLYMPEX) campaign. All instruments are two-dimensional optical array probes which record images of particles that travel through the sampling area. Data files are available in ASCII format, and browse images are available in PNG format. proprietary +gpmpawneemc3e_1 GPM GROUND VALIDATION PAWNEE RADAR MC3E GHRC_DAAC STAC Catalog 2011-05-24 2011-05-24 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979668711-GHRC_DAAC.umm_json The GPM Ground Validation Pawnee Radar MC3E dataset was collected by the Pawnee radar data for the Midlatitude Continental Convective Clouds Experiment (MC3E) held in Oklahoma were collected on May 24, 2011 to support the CHILL radar and the NASA ER-2 instrumentation data. The Pawnee is a single polarization (V polarization) Doppler radar. During the ER2 flight, the Pawnee conducted a wide azimuth opening PPI sector volume scan oriented towards the east designed to provide general 3D coverage of the ER2 flight area. When the ER2 reported starting a course reversal, the CHILL and Pawnee radars attempted to start sector scans at the same time to support dual Doppler wind analyses. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CHILL. The single polarization Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. CHILL and Pawnee radar data are available as separate datasets. proprietary +gpmpersucifld_1 GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS GHRC_DAAC STAC Catalog 2013-04-01 2013-07-01 -96.84, 39.36, -87.16, 45.24 https://cmr.earthdata.nasa.gov/search/concepts/C1979668994-GHRC_DAAC.umm_json The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013. proprietary +gpmpipicepop_1 GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP V1 GHRC_DAAC STAC Catalog 2017-06-18 2018-12-30 128.7, 37.6652, 128.806, 37.7382 https://cmr.earthdata.nasa.gov/search/concepts/C1979681288-GHRC_DAAC.umm_json The GPM Ground Validation Precipitation Imaging Package (PIP) ICE POP dataset includes precipitation measurements and video images collected by the Precipitation Imaging Package (PIP) during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to the Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. Data values obtained using PIP measurements include particle size distributions, fall velocity distributions, precipitation density estimates, and precipitation rates. The dataset files are available from June 18, 2017 through December 30, 2018 as generic data files (.dat) in ASCII-CSV format with browse imagery and video available in PNG and AVI format. proprietary +gpmplgcpex_1 GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE GCPEX GHRC_DAAC STAC Catalog 2011-12-08 2012-02-29 -79.93, 44.17, -79.64, 44.69 https://cmr.earthdata.nasa.gov/search/concepts/C1979683115-GHRC_DAAC.umm_json The GPM Ground Validation Pluvio Precipitation Gauge GCPEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity for liquid, solid, and mixed precipitation collected during the GPM Cold-season Precipitation Experiment (GCPEx). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. GCPEx took place in Ontario, Canada uring the winter season of December 2011 through February 2012 where data was collected at five sites: CARE, Huronia, Steamshow, Skydive and Morton. proprietary +gpmpllpvex_1 GPM GROUND VALIDATION PLUVIO PRECIPITATION GAUGE LPVEX GHRC_DAAC STAC Catalog 2010-09-15 2011-01-13 24.04, 60.12, 25.37, 60.29 https://cmr.earthdata.nasa.gov/search/concepts/C1979683525-GHRC_DAAC.umm_json The GPM Ground Validation Pluvio Precipitation Gauge LPVEx dataset contains both one minute measurements and a cumulative record of the accumulation and intensity of liquid, solid, and mixed precipitation. This dataset was collected during the Light Precipitation Experiment (LPVEx) which was part of the Global Precipitation Measurement (GPM) Misson Ground Validation Experiment which took place in Finland from September 2010 to October 2010. The experiment leveraged in situ microphysical property measurements, coordinated remote sensing observations, and cloud resolving model simulations of high latitude precipitation systems to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms. The campaign will use these measurements to better understand the process of light rainfall formation at high latitudes and augment the currently limited database of light rainfall microphysical properties that form the critical assumptions at the root of satellite retrieval algorithm. Data were collected at three sites: Harmaja, Emasalo, and Jarvenpaa. proprietary +gpmplolyx_1 GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX GHRC_DAAC STAC Catalog 2015-10-31 2016-01-31 -123.867, 47.3898, -123.581, 47.68 https://cmr.earthdata.nasa.gov/search/concepts/C1979684276-GHRC_DAAC.umm_json The GPM Ground Validation Pluvio Precipitation Gauges OLYMPEX dataset contains one-minute precipitation rate and precipitation accumulation measurements, as well as start and end times of precipitation events, that were collected during the Olympic Mountain Experiment (OLYMPEX) field campaign on the Olympic Peninsula in the Pacific Northwest of the United States. A Pluvio 400 weighing bucket gauge created by OTT Hydromet in Kempten, Germany was used to collect data at three different sites: Neilton Point (apu04), Wynoochee Trailer (apu10), and Upper Quinault Enchanted Valley (apu30). Data were collected from October 31, 2015 through January 31, 2016, but exact dates vary by site. Data files are available in ASCII-tsv format. proprietary +gpmpmastmetlpvex_1 GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx GHRC_DAAC STAC Catalog 2010-09-16 2010-10-22 24.9533, 60.1947, 24.9733, 60.2147 https://cmr.earthdata.nasa.gov/search/concepts/C1979684512-GHRC_DAAC.umm_json The GPM Ground Validation Physicum Building Mast Meteorological Data LPVEx dataset consists of meteorological data (temperature, pressure, wind, precipitation, and radiation) collected from the Station for Measuring Ecosystem-Atmosphere Relations III (SMEAR III) at the University of Helsinki’s Physicum building rooftop weather station in Helsinki, Finland. These data were collected during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign that took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. These meteorological data files are available from September 16 through October 22, 2010 in ASCII-CSV and ASCII text formats. proprietary +gpmpossgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PRECIPITATION OCCURRENCE SENSOR SYSTEM (POSS) GCPEX GHRC_DAAC STAC Catalog 2012-01-15 2012-03-01 -79.93, 44.18, -79.64, 44.23 https://cmr.earthdata.nasa.gov/search/concepts/C1979685182-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Precipitation Occurrence Sensor System (POSS) GCPEx dataset is comprised of data gathered during the GPM Cold-season Precipitation Experiment (GCPEx), which took place in Ontario, Canada, January 15 - March 1, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The POSS is a bi-static X-band Doppler radar designed by Environment Canada. The POSS measures a signal whose frequency is proportional to the particle Doppler velocity and whose amplitude is proportional to the particle scattering cross-section. Its measurements can be used to provide information regarding precipitation occurrence, type, rate, and raindrop size distribution. proprietary +gpmposslpvex_1 GPM Ground Validation Precipitation Occurrence Sensor System (POSS) LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-17 2011-04-20 25.0822, 60.2038, 25.6248, 60.4847 https://cmr.earthdata.nasa.gov/search/concepts/C1979685546-GHRC_DAAC.umm_json The GPM Ground Validation Precipitation Occurrence Sensor System (POSS) LPVEx dataset consists of precipitation and radar parameter estimates for both liquid and solid precipitation. Measurements were collected by the Precipitation Occurrence Sensor System (POSS) during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The POSS dataset files are available from September 18, 2010 through April 20, 2011 for two POSS sites: Emasalo and Jarvenpaa. The data files are in CSV format with browse imagery in PNG format. proprietary +gpmprecipmgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) MANUAL PRECIPITATION MEASUREMENTS GCPEX GHRC_DAAC STAC Catalog 2012-01-18 2012-03-28 -79.8, 44.2, -79.7, 44.3 https://cmr.earthdata.nasa.gov/search/concepts/C1979685952-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Manual Precipitation Measurements GCPEx dataset was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada with data collections from January 18 - March 28, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Precipitation amount, weight, snow water equivalent and present weather condition were recorded using a Tretyakov gauge inside a double fence intercomparison reference (DFIR) shield. proprietary +gpmprecipolyx_1 GPM Ground Validation Daily Precipitation OLYMPEX GHRC_DAAC STAC Catalog 2015-10-01 2016-04-30 -124.734, 46.2031, -122.391, 48.4844 https://cmr.earthdata.nasa.gov/search/concepts/C1979686100-GHRC_DAAC.umm_json The GPM Ground Validation Daily Precipitation Olympic Mountain Experiment (OLYMPEX) dataset consists of a single netCDF-4 data file containing estimates of daily precipitation, both rainfall and snowfall amounts, on a 1/32 degree spatial resolution grid covering the extent of the OLYMPEX field campaign region in the Olympic Mountains of the state of Washington. This data product was created for the GPM Ground Validation OLYMPEX field campaign. These VIC precipitation estimates are based on NOAA WSR-88D radar and rain gauge data incorporated in NOAA’s National Severe Storms Laboratory (NSSL) local gauge bias-corrected radar quantitative precipitation estimation (QPE) model (product Q3GC) and the Mountain Mapper QPE model (product Q3MM). The VIC hydrology model was used to invert the snow water equivalent (SWE) values to derive precipitation through adjustment of the precipitation-weighting factor on a grid cell by grid cell basis. The VIC precipitation data are available from October 1, 2015 through April 30, 2016. proprietary +gpmpvigcpex_1 GPM GROUND VALIDATION PRECIPITATION VIDEO IMAGER (PVI) GCPEX V1 GHRC_DAAC STAC Catalog 2011-11-04 2012-03-10 -79.93, 44.18, -79.72, 44.69 https://cmr.earthdata.nasa.gov/search/concepts/C1979686308-GHRC_DAAC.umm_json The GPM Ground Validation Precipitation Video Imager (PVI) GCPEx dataset collected precipitation particle images and drop size distribution data from November 2011 through March 2012during the GPM Cold-season Precipitation Experiment (GCPEx). Data files in an Excel format contain the average, minimum, and logarithmic drop size distribution bin sizes and number of particles. Browse images are available online. The PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility. proprietary +gpmpvilpvex_1 GPM Ground Validation Precipitation Video Imager (PVI) LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-17 2011-05-11 104.99, 39.99, 105.01, 40.01 https://cmr.earthdata.nasa.gov/search/concepts/C1979687446-GHRC_DAAC.umm_json The GPM Ground Validation Precipitation Video Imager (PVI) LPVEx dataset consists of precipitation particle images and drop size distribution (DSD) data collected by the Precipitation Video Imager (PVI) during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility. Data files are available from September 17, 2010 through May 11, 2011 in Excel format and contain the average, minimum, and logarithmic DSD bin sizes and number of particles per unit time. Browse images are available in BMP and JPG formats. proprietary +gpmraddpgcpex_1 GPM GROUND VALIDATION DUAL POLARIZATION RADIOMETER GCPEX GHRC_DAAC STAC Catalog 2011-11-23 2012-03-01 -79.92, 44.11, -79.6, 44.35 https://cmr.earthdata.nasa.gov/search/concepts/C1979693621-GHRC_DAAC.umm_json The GPM Ground Validation Dual Polarization Radiometer GCPEx dataset includes brightness temperature measurements at frequencies 90 GHz (not polarized) and 150 GHz (HV-polarized) for the GPM Cold-season Precipitation Experiment (GCPEx) which occurred in Ontario, Canada. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. This dual polarization radiometer (DPR) is sensitive to particle orientation since it observes the brightness temperature difference between the vertical and horizontal polarization channels at 150 GHz, and it is especially important for the retrievals of particle shape and orientation with polarization observations. DPR also has a high sensitivity to the supercooled liquid water in clouds due to the high-frequency window channels. Even though the netCDF data has regular scans, the browse images are only shown at 30 and 150 degrees. Ancillary data was also captured for the internal calibration of the instrument. proprietary +gpmradioiphx_1 GPM Ground Validation UNCA Upper Air Radiosonde IPHEx V1 GHRC_DAAC STAC Catalog 2014-04-29 2014-06-12 -82.5944, 35.1665, -81.4548, 36.5301 https://cmr.earthdata.nasa.gov/search/concepts/C1979694031-GHRC_DAAC.umm_json The GPM Ground Validation UNCA Upper Air Radiosonde IPHEx dataset was collected from April 29, 2014 through June 12, 2014 during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina. The goal of IPHEx was to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These radiosonde data files include pressure, geometric height, temperature, relative humidity, dew point temperature, wind direction, and wind speed measurements at various levels of the troposphere. The data are available in ASCII-tsv format files, and browse imagery are available as Portable Network Graphics (PNG) format files. proprietary +gpmradmecgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) RADIOMETER GCPEX V1 GHRC_DAAC STAC Catalog 2012-02-14 2012-03-01 -79.7806, 44.2332, -79.7806, 44.2332 https://cmr.earthdata.nasa.gov/search/concepts/C1979694410-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Radiometer GCPEx dataset contains retrievals of temperature, water vapor, relative humidity, liquid water profiles and surface parameters acquired by a passive microwave radiometer during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada, February 14, 2012 through March 1, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. proprietary +gpmradpmgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX GHRC_DAAC STAC Catalog 2011-12-05 2012-03-03 -79.7906, 44.2232, -79.7706, 44.2432 https://cmr.earthdata.nasa.gov/search/concepts/C1979695109-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe. proprietary +gpmradsecgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) RADIOSONDE GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-17 2012-02-29 -79.85, 43.38, -78, 44.96 https://cmr.earthdata.nasa.gov/search/concepts/C1979695305-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Radiosonde GCPEx dataset provides measurements of pressure, temperature, humidity, and winds collected by Vaisala RS92 Radiosondes during the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE site in Ontario, Canada, January 17, 2012 through February 29, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. proprietary +gpmrefifld_1 GPM Ground Validation Reference Rainfall Data Product IFloodS V1 GHRC_DAAC STAC Catalog 2013-05-01 2013-06-16 -94.4625, 40.7292, -89.8996, 44.2128 https://cmr.earthdata.nasa.gov/search/concepts/C1979695522-GHRC_DAAC.umm_json The GPM Ground Validation Reference Rainfall Data Product IFloodS dataset contains hourly rainfall accumulation estimates over central and northeastern Iowa for the period of 1 May to 16 June, 2013. This product is created by combining ground-based radar estimates collected for the Iowa Flood Studies (IFloodS) campaign. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The data are available in gzipped ASCII files. proprietary +gpmrefpreiphx_1 GPM Ground Validation Reference Precipitation IPHEx V1 GHRC_DAAC STAC Catalog 2007-12-31 2017-12-31 -83.6, 35, -82.6, 36 https://cmr.earthdata.nasa.gov/search/concepts/C1982863420-GHRC_DAAC.umm_json The GPM Ground Validation Reference Precipitation IPHEx dataset consists of 10 years (December 31, 2007-December 31, 2017) of hourly rainfall intensity at 1 km2 resolution over the core region of the Integrated Precipitation and Hydrology Experiment (IPHEx), that is centered in the Pigeon River Basin in North Carolina. The goal of the IPHEx field campaign was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. Data files are available in ASCII format. proprietary +gpmrfcmpifld_1 GPM Ground Validation Iowa Flood Center (IFC) NEXRAD Composite IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-15 2013-06-30 -97.1542, 40.1333, -89.9036, 44.5337 https://cmr.earthdata.nasa.gov/search/concepts/C1982957832-GHRC_DAAC.umm_json The GPM Ground Validation Iowa Flood Center (IFC) NEXRAD Composite IFloodS dataset contains rain rate estimates derived using NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign, in support of Global Precipitation Measurement (GPM) ground validation. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered in the vicinity of the IFloodS field campaign which took place in Iowa and surrounding areas during April 19, 2013 through June 30, 2013. This NEXRAD Composite data product is available in netCDF-4 or ASCII format with associated reflectivity browse imagery available in GIF format. proprietary +gpmrgachiphx_1 GPM Ground Validation Rain Gauges NASA ACHIEVE IPHEx V1 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-15 -83.1, 35.51, -83.08, 35.52 https://cmr.earthdata.nasa.gov/search/concepts/C1979697152-GHRC_DAAC.umm_json The GPM Ground Validation Rain Gauges NASA ACHIEVE IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina from May 9, 2014 through June 14, 2014. This dataset includes data from the Optical Scientific Optical Rain Gauge instrument and Novalynx Tipping Bucket Rain Gauge instrument which are both part of the NASA Goddard Space Flight Center (GSFC) ACHIEVE ground-based mobile laboratory. The optical rain gauge obtains high sensitivity optical measurements for precipitation rate and quantity, as well as measures 24-hour cumulative precipitation, precipitation rate, and temperature. The tipping bucket rain gauge is a standard tipping bucket rain gauge that measures 24-hour cumulative precipitation. Data files are available in netCDF-3 format. proprietary +gpmrgdukeiphx_1 GPM Ground Validation Duke Rain Gauges IPHEx GHRC_DAAC STAC Catalog 2014-05-01 2014-06-15 -83.3713, 35.3683, -82.271, 35.8876 https://cmr.earthdata.nasa.gov/search/concepts/C1979697430-GHRC_DAAC.umm_json The GPM Ground Validation Duke Rain Gauge data were collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign which was held in the Southern Appalachian region, including the Piedmont and Coastal Plain regions of North Carolina. TB3 Model Tipping Bucket rain gauges collected precipitation data from May 1, 2014 through June 15, 2014. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. The rain gauge data are available in ASCII-csv (comma separated) format for each of the rain gauge locations. proprietary +gpmrgifcifld_1 GPM Ground Validation Iowa Flood Center (IFC) Rain Gauges IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-28 2013-05-20 -91.6459, 41.8548, -91.6348, 41.8599 https://cmr.earthdata.nasa.gov/search/concepts/C1979697680-GHRC_DAAC.umm_json The GPM Ground Validation Iowa Flood Center (IFC) Rain Gauges IFloodS dataset was collected during the Iowa Flood Studies (IFloodS) field campaign from April 28, 2013 through May 20, 2013 near Shueyville City, Iowa. Four observation sites (15442, 15443, 15444, and 22390), each consisting of three tipping bucket rain gauges that collected 5-minute accumulations of precipitation data. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Specifically, this meant collecting detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. These IFC Rain Gauge data are available in ASCII format, with corresponding browse images available in PNG format. proprietary +gpmrgnaifld2_2 GPM GROUND VALIDATION MET ONE RAIN GAUGE PAIRS IFLOODS V2 GHRC_DAAC STAC Catalog 2013-04-06 2013-12-27 -93.5207, 41.8471, -91.1898, 43.3706 https://cmr.earthdata.nasa.gov/search/concepts/C1979699547-GHRC_DAAC.umm_json The GPM Ground Validation Met One Rain Gauge Pairs IFloodS V2 data measures the amount of fallen precipitation collected by a Model 380 tipping bucket rain gauge made by Met One Instruments, Inc. The gauge has a 30.5 cm diameter catchment funnel. Precipitation is collected to a resolution of 0.254 mm of liquid water for each bucket tip. These gauges measure rainfall over a 1 second interval. This data set has two types of files, the 1 second rainfall data and a 1-minute cubic-spline interpolated rain rate produced using the method described in Wang, 2008. There are two rain gauges located on each station (A or B), each with their own set of data files. Data were collected from April 2013 through December 2013 as part of the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment. More detailed information about the Met One Model 380 Precipitation Gauge is available at http://www.metone.com/docs/370_380_precipitation_gauge.pdf proprietary +gpmrgnaiphx2_2 GPM GROUND VALIDATION MET ONE RAIN GAUGE PAIRS IPHEX V2 GHRC_DAAC STAC Catalog 2013-09-11 2014-10-30 -83.5908, 35.083, -82.5649, 35.8857 https://cmr.earthdata.nasa.gov/search/concepts/C1979700275-GHRC_DAAC.umm_json The GPM Ground Validation Met One Rain Gauge IPHEx V2 data were collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) using Met One Model 380 tipping bucket precipitation gauges from September 11, 2013 to October 30, 2014 in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The dataset contains two ASCII files per rain gauge with two rain gauges on a station platform. The gag dataset is quality-controlled reformatted precipitation recorded in millimeters at a temporal resolution of 1 minute and the gmin dataset contains cubic spline interpolated rain rates in millimeters per hour at 1 minute resolution. proprietary +gpmrgnamc3e2_2 GPM GROUND VALIDATION RAIN GAUGE PAIRS MC3E V2 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-06 -97.5515, 36.5644, -97.4261, 36.6381 https://cmr.earthdata.nasa.gov/search/concepts/C1979700643-GHRC_DAAC.umm_json The GPM Ground Validation Rain Gauge Pairs MC3E V2 data measures the amount of fallen precipitation collected by tipping bucket rain gauges made by Met One Instruments, Inc. and Campbell Scientific Corp. Precipitation from each is collected to a resolution of 0.254 mm of liquid water for each bucket tip. These gauges record the rainfall at a 1-minute resolution. This data set has two types of files, the recorded rainfall value (mm) and a cubic-spline interpolated rain rate (mm/hr) produced using the method described in Wang, 2008. There are two rain gauges located on each station (A or B), each with their own set of data files. Data were collected from April 2011 through June 2011 as part of the GPM Ground Validation Mid-latitude Continental Convective Cloud Experiment (MC3E). Detailed information about the Met One Model 380 Precipitation Gauge is available at http://www.metone.com/docs/370_380_precipitation_gauge.pdf. Details about the Campbell Scientific rain gauge is found at https://s.campbellsci.com/documents/us/product-brochures/b_385.pdf. proprietary +gpmrgnaolyx_1 GPM Ground Validation Met One Rain Gauge Pairs OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-01-01 2016-06-20 -124.369, 46.4478, -122.631, 48.0795 https://cmr.earthdata.nasa.gov/search/concepts/C1979701018-GHRC_DAAC.umm_json The GPM Ground Validation Met One Rain Gauge Pairs OLYMPEX dataset contains precipitation amount and precipitation rate data collected during the Global Precipitation Measurement mission (GPM) Ground Validation (GV) Olympic Mountains Experiment (OLYMPEX). The OLYMPEX field campaign took place between November 2015 and January 2016, with additional ground sampling continuing through February 2016, on the Olympic Peninsula in the Pacific Northwest of the United States. The purpose of the campaign was to provide ground-validation data for the measurements taken by instrumentation aboard the GPM Core Observatory satellite. The Met One Rain Gauge Pairs are tipping bucket precipitation gauges which collect precipitation amounts and calculate precipitation rates. This dataset contains two ASCII-tsv files per rain gauge and two rain gauges are located on each station platform. The Met One Rain Gauge Pairs OLYMPEX dataset files are available from January 1, 2015 through June 20, 2016 in ASCII-tsv format. proprietary +gpmrgsaiphx_1 GPM Ground Validation Southern Appalachian Rain Gauge IPHEx V1 GHRC_DAAC STAC Catalog 2008-01-03 2014-12-31 -83.3713, 35.3683, -81.232, 35.8876 https://cmr.earthdata.nasa.gov/search/concepts/C2014483499-GHRC_DAAC.umm_json The GPM Ground Validation Southern Appalachian Rain Gauge IPHEx dataset was collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign consisting of 45 observation sites. The main goal of IPHEx were to characterize warm season orographic precipitation regimes and hydrologic processes in regions of complex terrain, to contribute to the development, evaluation, and improvement of remote sensing precipitation algorithms in support of the GPM mission. These data are available in ASCII-csv format from January 3, 2008 thru December 31, 2014. Data collection began in 2008 due to the entire network being funded by the NASA Precipitation Measurement Missions (PMM) to make these observations of orographic precipitation in preparation for the IPHEx field campaign. proprietary +gpmsatpaifld_1 GPM Ground Validation Satellite Overpasses IFloodS V1 GHRC_DAAC STAC Catalog 2013-04-01 2013-06-30 -98.12, 38.41, -85.86, 47.39 https://cmr.earthdata.nasa.gov/search/concepts/C1979701486-GHRC_DAAC.umm_json The GPM Ground Validation Satellite Overpasses IFloodS dataset contains plots of satellite overpass paths centered over eastern Iowa during the Global Precipitation Measurement (GPM) mission Iowa Flood Studies (IFloodS) field campaign. The campaign aimed to collect detailed measurements of precipitation at the Earth’s surface while simultaneously collecting data from satellites passing overhead. This dataset consists of paths for Earth observation satellites operating during the campaign: NASA’s AQUA, TERRA, and CloudSat satellites; NOAA’s NOAA-15, NOAA-16, NOAA-17, NOAA-18, and Suomi NPP satellites; Europe’s MetOp-A and MetOp-B satellites, and DMSP’s F-15, F-16, F-17, and F-18 satellites. The satellite overpasses are provided as PNG plot images and as KML files with which the paths can be imported and viewed in Google Earth. proprietary +gpmsbdminmc3e_1 GPM GROUND VALIDATION NOAA S-BAND PROFILER MINUTE DATA MC3E GHRC_DAAC STAC Catalog 2011-04-16 2011-06-07 -97.49, 36.61, -97.49, 36.61 https://cmr.earthdata.nasa.gov/search/concepts/C1979702104-GHRC_DAAC.umm_json The GPM Ground Validation NOAA S-Band Profiler Minute Data MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma from April-June 2011. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band 2.8 GHz profiler measured the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. After calibration, the instrument provided an unattenuated reflectivity estimate through the precipitation. Spectra and moment files are included in netCDF format. proprietary +gpmsbdorgmc3e_1 GPM GROUND VALIDATION NOAA S-BAND PROFILER ORIGINAL DWELL DATA MC3E GHRC_DAAC STAC Catalog 2011-04-16 2011-06-07 -97.49, 36.61, -97.49, 36.61 https://cmr.earthdata.nasa.gov/search/concepts/C1979704337-GHRC_DAAC.umm_json The GPM Ground Validation NOAA S-Band Profiler Original Dwell Data MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma from April 16, 2011 to June 7, 2011. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band profiler operated at 2.8 GHz, pointed vertically, and measured the backscattered power from raindrops and ice particles as precipitating cloud systems passed overhead. The S-band operated in two modes: precipitation mode and attenuated mode. The precipitation mode was the normal or full-power mode, and the attenuated mode was the low-power mode. The profiler alternated between modes collecting either 7 or 9 consecutive precipitation mode profiles separated by 1 attenuated mode profile. Both modes processed radar pulses collected during a 7-second dwell before calculating the Doppler velocity spectra at each radar range gate that were separated by 60-meters in the vertical. The attenuated and precipitation mode data are available in moment, pop spectra (uncalibrated raw spectra) and calibrated spectra hourly files. The S-band spectra were calibrated against the surface disdrometer to determine a radar calibration constant. Calibrated spectra were constructed for each profile and are expressed as reflectivity spectral density. After calibration, the instrument provides a reflectivity estimate through the precipitation. Data is in hourly files in the netCDF format. proprietary +gpmsbdrwncmc3e_1 GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA NETCDF FORMAT MC3E GHRC_DAAC STAC Catalog 2011-04-08 2011-06-07 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979713613-GHRC_DAAC.umm_json The GPM Ground Validation NOAA S-Band Profiler Raw Data NetCDF Format MC3E dataset was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets. proprietary +gpmsbdrwspcmc3e_1 GPM GROUND VALIDATION NOAA S-BAND PROFILER RAW DATA SPC FORMAT MC3E GHRC_DAAC STAC Catalog 2011-04-08 2011-06-07 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979716838-GHRC_DAAC.umm_json The GPM Ground Validation NOAA S-Band Profiler Raw Data SPC Format MC3E dataset is the S-band Profiler Raw dataset was saved in Vaisala SPC format. The numeric values in both formats are exactly the same. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The S-band Profiler Raw dataset in the proprietary Vaisala SPC format was gathered during the Midlatitude Continental Convective Clouds Experiment (MC3E) in Oklahoma April 8, 2011 to June 7, 2011 and consists of uncalibrated Doppler velocity spectra data in units of relative power return. The S-band 2.8 GHz profiler points vertically and measures the backscattered power from raindrops and ice particles as precipitating cloud systems pass overhead. The profiler processes radar pulses during a 7-second dwell before calculating and saving uncalibrated Doppler velocity spectra at each range gate that were separated by 60-meters vertically. Data collected during each hour are saved in two files. All precipitation mode profiles are saved in one hourly data file and all attenuated mode profiles are saved in another hourly data file. Calibrated data can be obtained from the S-band Original Dwell and Minute datasets. Specialized read software may be purchased from Vaisala. proprietary +gpmscampriphx_1 GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) IPHEx V1 GHRC_DAAC STAC Catalog 2014-04-30 2014-06-16 -91.741, 27.897, -71.798, 42.921 https://cmr.earthdata.nasa.gov/search/concepts/C1979717298-GHRC_DAAC.umm_json The GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) IPHEx dataset contains rainfall rate measurements derived using the SCaMPR algorithm to combine GOES infrared (IR) data and derived parameters as inputs. The SCaMPR algorithm is calibrated using microwave rainfall estimates from the Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Sounding Unit (AMSU). This dataset contains the values for the time period of the IPHEx campaign from April 30, 2015 to June 17, 2015. The IPHEx campaign was designed to characterize warm season orographic precipitation regimes and determine the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These data are available in netCDF-4 format, while browse images are available in GIF format. proprietary +gpmseafluxicepop_1 GPM Ground Validation SEA FLUX ICE POP V1 GHRC_DAAC STAC Catalog 2017-09-01 2018-04-30 98.5, 8.5, 177.5, 54.25 https://cmr.earthdata.nasa.gov/search/concepts/C1995570197-GHRC_DAAC.umm_json The GPM Ground Validation SEA FLUX ICE POP dataset includes estimates of ocean surface latent and sensible heat fluxes, 10m wind speed, 10m air temperature, 10m air humidity, and skin sea surface temperature in support of the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The two major objectives of ICE-POP were to study severe winter weather events in regions of complex terrain and improve the short-term forecasting of such events. These data contributed to the Global Precipitation Measurement mission Ground Validation (GPM GV) campaign efforts to improve satellite estimates of orographic winter precipitation. This data file is available in netCDF-4 format from September 1, 2017 through April 30, 2018. proprietary +gpmsgifcifld_1 GPM Ground Validation Iowa Flood Center (IFC) Stream Flow IFloodS V1 GHRC_DAAC STAC Catalog 2013-03-31 2013-06-30 -95.7045, 40.7275, -90.4685, 43.3423 https://cmr.earthdata.nasa.gov/search/concepts/C1979722410-GHRC_DAAC.umm_json The GPM Ground Validation Iowa Flood Center (IFC) Stream Flow IFloodS dataset was obtained from the IFC during the Iowa Flood Studies (IFloodS) field campaign that extended from March 31, 2013 through June 30, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. The IFC monitors stage levels using sensors attached to the side of bridges throughout Iowa. The sensor data are downloaded from the Iowa Flood Information System (IFIS) as support data for the IFloodS campaign. The IFC Stream Flow data were collected in real-time and provide measurements at 15 minute intervals. These IFC Stream Flow IFloodS data are available in XML format. proprietary +gpmsgusgsifld_1 GPM Ground Validation USGS Stream Flow IFloodS V1 GHRC_DAAC STAC Catalog 2008-07-24 2013-07-01 -96.5619, 40.6017, -90.1904, 43.4697 https://cmr.earthdata.nasa.gov/search/concepts/C1979723016-GHRC_DAAC.umm_json The GPM Ground Validation USGS Stream Flow IFloodS dataset was obtained from USGS during the Iowa Flood Studies (IFloodS) field campaign that extended from March 30, 2013 through June 30, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. The USGS monitors streamflow using gauges on streams and rivers throughout the U.S. For the IFloodS field campaign, streamflow data from about 200 gauges in the Iowa IFloodS study area were downloaded from the USGS web site as support data for the campaign. The USGS streamflow data were collected in real-time and provide measurements at 15-60 minute intervals. These USGS Stream Flow data are available in XML format. proprietary +gpmsimorbc3vp_1 GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS C3VP V1 GHRC_DAAC STAC Catalog 2007-01-20 2007-01-23 25, 34, 23, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1979727317-GHRC_DAAC.umm_json The GPM Ground Validation Satellite Simulated Orbits C3VP dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006. proprietary +gpmsimorblpvex_1 GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS LPVEX V1 GHRC_DAAC STAC Catalog 2010-09-21 2010-10-21 23, 34, 25, 75 https://cmr.earthdata.nasa.gov/search/concepts/C1979728494-GHRC_DAAC.umm_json The GPM Ground Validation Satellite Simulated Orbits LPVEx dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006. proprietary +gpmsimorbmc3e_1 GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS MC3E V1 GHRC_DAAC STAC Catalog 2011-04-25 2011-05-21 -121, 28, -91, 43 https://cmr.earthdata.nasa.gov/search/concepts/C1979728927-GHRC_DAAC.umm_json The GPM Ground Validation Satellite Simulated Orbits MC3E dataset is available in the Orbital database , which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006. proprietary +gpmsimorbtwpice_1 GPM GROUND VALIDATION SATELLITE SIMULATED ORBITS TWP-ICE V1 GHRC_DAAC STAC Catalog 2006-01-23 2006-02-06 125, -25, 140, -10 https://cmr.earthdata.nasa.gov/search/concepts/C1979729803-GHRC_DAAC.umm_json The GPM Ground Validation Satellite Simulated Orbits TWP-ICE dataset is available in the Orbital database, which takes account for the atmospheric profiles, the cloud/rain profiles, and the detailed surface/terrain information from the Cloud-Resolving Model (CRM) database. Unique geometry and antenna gain patterns of each sensor (GMI imager, GMI sounder, DPR Ku, DPR Ka_MA, DPR Ka_HS) are considered. The Orbital database consists of satellite orbit parameters, geolocation of Field of View and satellite location, and simulated Level 1B/Level 2-like parameters in satellite orbital grid. Orbital data covers a portion of sampling right over the Cloud-resolving model (CRM) domain. All orbital data format is NetCDF3, and it contains dimensions, parameter descriptions, and parameter units. Each project's data is distributed as a separate dataset. MC3E occurred in Oklahoma, USA in 2011; LPVEX took place in Finland in 2010; C3VP experiment was held in Canada in 2007 and TWP-ICE took place in Australia in 2006. proprietary +gpmsmdukeiphx_1 GPM Ground Validation Duke Soil Moisture IPHEx GHRC_DAAC STAC Catalog 2014-02-27 2014-10-17 -83.5905, 35.3731, -81.1315, 36.5193 https://cmr.earthdata.nasa.gov/search/concepts/C1979730515-GHRC_DAAC.umm_json The GPM Ground Validation Duke Soil Moisture dataset consists of a collection of various data obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) which occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina from February 27, 2014 through October 17, 2014. The various instruments used included Theta Probes, Infrared Thermometers, 200-A Soil Core Samplers, a Global Positioning System (GPS), Soil Thermometers with Scanning L-band Active Passive (SLAP) flight concurrent survey data, and CS6161 Water Reflectometers. Data are available in a variety of formats based on instrument, including shapefiles, Excel files, Word document files, and ASCII formats. Browse images of site locations and data are available in JPG format. proprietary +gpmsnowgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) SNOW SURVEYS GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-05 2012-02-27 -79.92, 44.18, -79.64, 44.68 https://cmr.earthdata.nasa.gov/search/concepts/C1979731306-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada Snow Surveys GCPEx dataset was manually collected during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada, January 20, 2012 through February 27, 2012 across four sites (CARE, Steamshow, Huronia Airport, and Skydive-Jump). GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Snow depth, water equivalent and density transects were surveyed weekly at each of the GCPEx sites in order to provide baseline information on the distribution of snow on the ground. Pairs of bulk density and snow water equivalent measurements were made every 25 m along the same transect using an ESC-30 (30 cm2 cross sectional area) snow corer. Snow depth measurements were made every 50 cm along a 100 m transect using a GPS equipped snow depth probe. proprietary +gpmsnowolyx_1 GPM Ground Validation Snow Depth Monitoring System OLYMPEX V1 GHRC_DAAC STAC Catalog 2014-09-05 2016-07-26 -123.707, 47.5008, -123.033, 47.8224 https://cmr.earthdata.nasa.gov/search/concepts/C1979732987-GHRC_DAAC.umm_json The GPM Ground Validation Snow Depth Monitoring System OLYMPEX dataset consists of snow depth, temperature, and relative humidity measurements which were collected using snow depth poles, time lapse cameras, temperature/relative humidity sensors, and manual snow surveys. This dataset was collected during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. The analyzed data files are available in netCDF-3 data format. The dataset includes the individual camera photos of snow poles taken hourly during the field campaign, provided as JPG images. There are up to 3 cameras/poles per study site location. In addition, a Microsoft Excel data file contains results of a manual snow survey taken on the specific days of the Airborne Snow Observatory OLYMPEX overflights. In total, measurements contained in this dataset extend from September 5, 2014 through August 20, 2016, but the primary field campaign data were collected during the fall 2015 to spring 2016 time period. proprietary +gpmsogcpex_1 GPM GROUND VALIDATION COMPOSITE SATELLITE OVERPASSES GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-17 2012-02-29 -88.7, 37.9, -70.9, 50.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979733201-GHRC_DAAC.umm_json The GPM Ground Validation Composite Satellite Overpasses GCPEx dataset provides satellite overpasses from the Special Sensor Microwave Imager/Sounder (SSMIS) satellites (F-16, 17, 18) during the GPM Cold-season Precipitation Experiment (GCPEx) which took place in Ontario, Canada, January 17, 2012 through February 29, 2012. The radiometric data was matched up with other datasets necessary to carry out land surface emissivity studies. These other datasets include the NEXRAD National Mosaic and Multi-Sensor QPE (NMQ) radar mosaic for knowledge of rain structure and intensity at the time of the overpass, as well as the previous accumulated precipitation prior to the satellite overpass time, the NOAA Interactive Multisensor Snow and Ice Mapping System (IMS) snow mapping system (to identify surface snow or ice cover), and the NASA/GMAO Modern-Era Retrospective Analysis for Research (MERRA) land and atmospheric reanalysis (for background land and atmospheric state needed for microwave radiative transfer calculations). The identified SSMIS satellite overpasses passed within 700-km of the central field site. proprietary +gpmsomc3e_1 GPM GROUND VALIDATION COMPOSITE SATELLITE OVERPASSES MC3E V1 GHRC_DAAC STAC Catalog 2011-04-22 2011-06-05 -115.49, 13.59, -72.65, 56.29 https://cmr.earthdata.nasa.gov/search/concepts/C1979734889-GHRC_DAAC.umm_json The GPM Ground Validation Composite Satellite Overpasses MC3E dataset provides satellite overpasses from the AQUA satellite during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma April 22 - June 5, 2011. The radiometric data was matched up with other datasets necessary to carry out land surface emissivity studies. These other datasets include the NEXRAD National Mosaic and Multi-Sensor QPE (NMQ) radar mosaic for knowledge of rain structure and intensity at the time of the overpass, as well as the previous accumulated precipitation prior to the satellite overpass time, the NOAA Interactive Multisensor Snow and Ice Mapping System (IMS) snow mapping system (to identify surface snow or ice cover), and the NASA/GMAO Modern-Era Retrospective Analysis for Research (MERRA) land and atmospheric reanalysis (for background land and atmospheric state needed for microwave radiative transfer calculations). The AQUA satellite overpasses included in this dataset passed within 700-km of the central field site. proprietary +gpmsondelpvex_1 GPM Ground Validation Upper Air Radiosonde LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-15 2011-01-28 24.877, 58.8, 26.96, 61.01 https://cmr.earthdata.nasa.gov/search/concepts/C1979814144-GHRC_DAAC.umm_json The GPM Ground Validation Radiosonde LPVEx dataset consists of sounding data collected as part of the Global Precipitation Measurement (GPM) mission Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high altitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Vaisala RS92 radiosonde was used to produce vertical profiles of atmospheric temperature, pressure, humidity, and winds. The radiosondes were launched from two locations: Kumpula and Vantaa. The Upper Air Radiosonde LPVEx dataset consists of TSV data files and PNG browse image files. proprietary +gpmsondeolyx_1 GPM Ground Validation Upper Air Radiosonde OLYMPEX V1 GHRC_DAAC STAC Catalog 2015-10-28 2016-01-16 -128.88, 43.5473, -120.439, 50.68 https://cmr.earthdata.nasa.gov/search/concepts/C1979814484-GHRC_DAAC.umm_json The GPM Ground Validation Upper Air Radiosonde OLYMPEX dataset was collected from October 28, 2015 through January 16, 2016 during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. Radiosondes were released from 5 locations: 3 in US - KSLE, KUIL, and NPOL site; and 2 in Canada - ECCC instrument site and CYZT. A total of 651 radiosondes were launched and collected during OLYMPEX from these sites. In addition, Level 4 dropsonde data were reprocessed to match the Level-4 data format and content of the radiosonde files and is also provided here. The dropsondes were released from the NASA DC-8 aircraft during specific flights in December 2015 and are published as the AVAPS dataset. This Upper Air Radiosonde dataset contains Level 0 through Level 4 data containing dew point temperature, pressure, air temperature, relative humidity, horizontal wind speed, vertical wind speed, wind direction, rise or drop rate, and geopotential height measurements. The data files are available in ASCII, ASCII-EOL, and netCDF-3 formats, as well as Skew-T and time series plots in PNG format. The lower level datasets (Level 0 raw data through Level 2 data) are only available upon request from the NASA GHRC DAAC. proprietary +gpmsslpvex_1 GPM GROUND VALIDATION SPECIAL SENSOR MICROWAVE IMAGER/SOUNDER (SSMI/S) LPVEX V1 GHRC_DAAC STAC Catalog 2010-09-01 2011-03-31 -30.79, 27.89, 172.28, 89.56 https://cmr.earthdata.nasa.gov/search/concepts/C1979814673-GHRC_DAAC.umm_json The GPM Ground Validation Special Sensor Microwave Imager/Sounder (SSMI/S) LPVEx dataset contains brightness temperature data processed from the NOAA CLASS QC temperature data records for the Light Precipitation Validation Experiment (LVPEX), part of the Global Precipitation Measurement project. The mission was to detect and characterize light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.Only data with swaths within the area of interest are included. The temporal range of the data includes the LPVEx campaign period (September 1, 2010) and extends through the end of March 31, 2011. proprietary +gpmsurmetc3vp_1 GPM Ground Validation Surface Meteorological Station C3VP V1 GHRC_DAAC STAC Catalog 2005-11-01 2007-03-31 -79.87, 44.13, -79.67, 44.33 https://cmr.earthdata.nasa.gov/search/concepts/C2003136676-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Surface Meteorological Station C3VP dataset consists of meteorological data collected at the Environment Canada (EC) climate station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV EC Surface Meteorological Station C3VP data include surface temperature and precipitation data available from November 1, 2005 through March 31, 2007 in Microsoft Excel format. proprietary +gpmsurmetmc3e_1 GPM GROUND VALIDATION NOAA SURFACE METEOROLOGICAL STATION MC3E GHRC_DAAC STAC Catalog 2011-04-05 2011-06-07 -97.49, 36.61, -97.49, 36.61 https://cmr.earthdata.nasa.gov/search/concepts/C1979815678-GHRC_DAAC.umm_json The GPM Ground Validation NOAA Surface Meteorological Station MC3E dataset was collected at the NOAA Southern Great Plains Facility for the Midlatitude Continental Convective Clouds Experiment (MC3E) and includes measurements of wind speed, wind direction, temperature, humidity and precipitation. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The instruments gathering this data were respectively a propeller wind monitor located 10 meters above the ground, a temperature and humidity sensor at the ground, and a tipping rain gauge at the ground. These data were collected from April 5, 2011 to June 7, 2011. proprietary +gpmtfmifld_1 GPM Ground Validation Global Flood Monitoring System (GFMS) Flood Maps IFloodS V1 GHRC_DAAC STAC Catalog 2013-03-26 2013-06-30 -179.875, -49.875, 179.875, 49.875 https://cmr.earthdata.nasa.gov/search/concepts/C1979816569-GHRC_DAAC.umm_json The GPM Ground Validation Global Flood Monitoring System (GFMS) Flood Maps IFloodS dataset contains global flood estimates on a 0.25 degree spatial resolution every 3 hours, from March 26, 2013 through June 30, 2013. These data are provided in support of the Iowa Flood Studies (IFloodS) experiment conducted in eastern Iowa. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The data are available in netCDF-4 and ASCII formats. Flood map and rain graph files are available in KMZ, JPG, and GIF formats. proprietary +gpmtmpaifld_7 GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IFloodS V7 GHRC_DAAC STAC Catalog 2013-04-01 2013-06-30 -179.875, -59.875, 179.875, 59.875 https://cmr.earthdata.nasa.gov/search/concepts/C1979823036-GHRC_DAAC.umm_json The GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IFloodS dataset is a subset of the TMPA 3B42RT gridded precipitation real-time product selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) held in Iowa during April 1, 2013 to June 30, 2013. The goals of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. TMPA is a calibration-based sequential scheme for combining microwave (MW) and infrared (IR) precipitation estimates from multiple satellites, as well as surface precipitation gauge analyses where feasible, to produce precipitation estimates at fine scales: 3-hourly, 0.25 degree maps. The TMPA IFloodS product is available in netCDF-4 and binary formats, as well as 3-hour rainfall browse images in JPG format. proprietary +gpmtmpaiphx_7 GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IPHEx V7 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-16 -180, -60, 180, 60 https://cmr.earthdata.nasa.gov/search/concepts/C1979825245-GHRC_DAAC.umm_json This GPM Ground Validation TRMM Multi-satellite Precipitation Analysis (TMPA) IPHEx dataset is a subset of the TMPA 3B42RT gridded precipitation product selected for the time period of the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) held in North Carolina during May 1, 2014 to June 15, 2014. The goal of IPHEx was to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. This dataset contains 3-hourly, 0.25 degree maps of precipitation derived using microwave (MW), infra-red (IR), surface precipitation gauge measurements, and other rain products that include the TRMM Precipitation Radar (PR) data. The IPHEx TMPA product is available in netCDF-4 and binary formats. proprietary +gpmtpshpgcpex_1 GPM GROUND VALIDATION TOTAL PRECIPITATION SENSOR (HOTPLATE) GCPEX V1 GHRC_DAAC STAC Catalog 2011-11-07 2012-02-21 -79.78, 44.2, -79.64, 44.3 https://cmr.earthdata.nasa.gov/search/concepts/C1979827156-GHRC_DAAC.umm_json The GPM Ground Validation Total Precipitation Sensor (HotPlate) GCPEx dataset provides a measure of the liquid precipitation rate and accumulation for snow. Additional data includes measurements of temperature, wind speed, relative humidity, pressure, and solar and infrared radiation flux. These data were gathered during the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE and SkyDive sites in Ontario, Canada during November 7, 2011 - February 21, 2012. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. proprietary +gpmtrm2A25iphx_7 GPM Ground Validation TRMM 2A25 NRT Precipitation Radar IPHEx V7 GHRC_DAAC STAC Catalog 2014-05-01 2014-06-16 -92.739, 25.8391, -70.8148, 36.2271 https://cmr.earthdata.nasa.gov/search/concepts/C1979827468-GHRC_DAAC.umm_json The GPM Ground Validation TRMM 2A25 NRT Precipitation Radar IPHEx data are estimates of instantaneous three-dimensional distribution of rain from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The TRMM 2A25 (NRT) orbital precipitation radar data from NASA GES DISC have been extracted for the southeast US region for May 1 to June 16, 2014 during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. This data product contains the average rainfall rate between two predefined altitudes derived from each radar beam position. Other output data include parameters of Z-R relationships (R=aZb), integrated rain rate of each beam, range bin numbers of rain layer boundaries, and many intermediate parameters. Data files are available in HDF-4 format, while corresponding browse images are also available in PNG format. proprietary +gpmuhfnoaamc3e_1 GPM GROUND VALIDATION NOAA UHF 449 PROFILER MC3E GHRC_DAAC STAC Catalog 2011-04-08 2011-06-07 -97.491, 36.599, -97.489, 36.601 https://cmr.earthdata.nasa.gov/search/concepts/C1979827921-GHRC_DAAC.umm_json The GPM Ground Validation NOAA UHF 449 Profiler MC3E dataset was collected during the NASA supported Midlatitude Continental Convective Clouds Experiment (MC3E). The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Ultra High Frequency 449 MHz profiler was one of three NOAA deployed instruments which also included a Parsivel and a 2.8 GHz profiler (S-Band). The 449 MHz profiler raw data files provide estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. Used together with the S-band profiler, vertical profiles of raindrop size distributions can be retrieved. The raw 449MGx profiler data consists of uncalibrated Doppler velocity spectra data in units of relative power return. proprietary +gpmvanlpvex_1 GPM Ground Validation C-band Vantaa (VAN) Radar LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-16 2011-01-31 24.896, 60.322, 24.916, 60.342 https://cmr.earthdata.nasa.gov/search/concepts/C1995570271-GHRC_DAAC.umm_json The GPM Ground Validation C-Band Radar datasets include radar reflectivity data from the Vantaa (VAN) dual-polarimetric C-Band Doppler radar in Finland during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This radar, along with four others, provided reflectivity measurements for light precipitation systems during LPVEx. This field campaign took place around the Gulf of Finland, aiming to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The Vantaa C-Band Radar data files are available in RAW and UF format, with browse imagery in PNG format from September 16, 2010 through January 31, 2011. proprietary +gpmvertixgcpex_1 GPM GROUND VALIDATION MCGILL VERTICAL POINTING X-BAND (VERTIX) RADAR GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-02-29 -79.7906, 44.2232, -79.7706, 44.2432 https://cmr.earthdata.nasa.gov/search/concepts/C1979830182-GHRC_DAAC.umm_json The GPM Ground Validation McGill Vertical Pointing X-Band (VertiX) Radar GCPEx dataset consists of radar reflectivity and Doppler velocity data collected by the Vertically Pointing X-band (VertiX) radar during the Global Precipitation Measurement (GPM) mission Cold-season Precipitation Experiment (GCPEx) field campaign in Ontario, Canada during the 2011-2012 winter season. VertiX can detect all precipitation targets and some ice clouds, as well as measure the Doppler velocity of precipitation targets. These measurements contributed to the overarching goal of GCPEx to collect various snowfall data for the improvement of GPM satellite winter precipitation estimates. These data files are available from January 15 through February 29, 2012 in netCDF-3 format with browse imagery available in GIF format. proprietary +gpmvisecc3vp_1 GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P C3VP V1 GHRC_DAAC STAC Catalog 2006-10-04 2007-03-31 -79.791, 44.222, -79.772, 44.242 https://cmr.earthdata.nasa.gov/search/concepts/C1995871445-GHRC_DAAC.umm_json The GPM Ground Validation (GV) Environment Canada (EC) Visibility Sensor FD12P C3VP dataset consists of visibility and precipitation data collected at the Environment Canada Canadian Climate station at the Centre for Atmospheric Research Experiments (CARE) site during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV Visibility Sensor FD12P C3VP data are available from October 4, 2006 through March 31, 2007 in a Microsoft Excel comma-separated variable spreadsheet. proprietary +gpmvisecgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) VISIBILITY SENSOR FD12P AND PRESENT WEATHER DETECTOR GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-03-01 -79.93, 44.49, -79.73, 44.69 https://cmr.earthdata.nasa.gov/search/concepts/C1979830481-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P and Present Weather Detector GCPEx dataset contains data collected from January 15 through March 1, 2012 in Huronia, Canada for the GPM Cold-season Precipitation Experiment (GCPEx). This dataset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The FD12P combines the functions of a forward scatter visibility meter and a present weather detector. It also measures the intensity and the amount of both liquid and solid precipitation. proprietary +gpmvn_1 GPM Ground Validation Validation Network (VN) V1 GHRC_DAAC STAC Catalog 2014-03-09 2021-07-31 -169.499, -31.818, 169.948, 65.634 https://cmr.earthdata.nasa.gov/search/concepts/C1995579435-GHRC_DAAC.umm_json The GPM Ground Validation Validation Network (VN) dataset contains reflectivity, hydrometeor identification, rain rate, correlation coefficient, and quality control variables and estimates. This data product was created using the Validation Network (VN), which performs a direct match-up of the Global Precipitation Mission (GPM)’s space-based Dual-frequency Precipitation Radar (DPR) and Microwave Imager (GMI) data with ground radar data from NOAA Weather Surveillance Radar-1988 Doppler (WSR-88D) radars. These data are available from March 9, 2014 through July 31, 2021 in netCDF-3 format, though it should be noted that this dataset will be updated periodically. proprietary +gpmwacrc3vp_1 GPM Ground Validation NASA W-band Aircraft Cloud Radar (WACR) C3VP GHRC_DAAC STAC Catalog 2006-10-30 2007-03-02 -79.7829, 44.2306, -79.7828, 44.2308 https://cmr.earthdata.nasa.gov/search/concepts/C1995871494-GHRC_DAAC.umm_json The GPM Ground Validation NASA W-band Airborne Cloud Radar (WACR) C3VP dataset consists of calibrated co- and cross-polarized radar reflectivity at 94 GHz during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The WACR is used for cloud sensing and microphysics. During C3VP, the WACR was deployed as a surface-based, zenith-pointing instrument in the Cloud Radar Trailer at the Centre for Atmospheric Research Experiments (CARE) facility in Ontario, Canada. The data include radar reflectivities in zenith-pointing orientation at the CARE facility. The dataset files are available in netCDF format from October 30, 2006 through March 2, 2007. proprietary +gpmwbandgcpex_1 GPM GROUND VALIDATION MCGILL W-BAND RADAR GCPEX V1 GHRC_DAAC STAC Catalog 2012-02-01 2012-02-29 -79.781, 44.2328, -79.7802, 44.2336 https://cmr.earthdata.nasa.gov/search/concepts/C1979831134-GHRC_DAAC.umm_json The GPM Ground Validation McGill W-Band Radar GCPEx dataset was collected from February 1, 2012 to February 29, 2012 at the CARE site in Ontario, Canada as a part of the GPM Cold-season Precipitation Experiment (GCPEx). This datset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The W-Band radar is a single antenna, 94-GHz pulsed Doppler, vertical pointing radar system. Data products from the W-Band radar include radar reflectivity, Doppler moments, and Doppler spectra of variable lengths. The W-Band radar is primarily used to research various cloud properties. The GPM Ground Validation McGill W-Band Radar GCPEx dataset is available in netCDF format. proprietary +gpmwbandiphx_1 GPM GROUND VALIDATION ACHIEVE W-BAND CLOUD RADAR IPHEX V1 GHRC_DAAC STAC Catalog 2014-05-09 2014-06-14 -83.0947, 35.5198, -83.0947, 35.5198 https://cmr.earthdata.nasa.gov/search/concepts/C1979831259-GHRC_DAAC.umm_json The GPM Ground Validation ACHIEVE W-band Cloud Radar IPHEx dataset consists of cloud and light precipitation radar observations gathered during the Global Precipitation Measurement (GPM) mission Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) Intensive Observing Period (IOP) in North Carolina from May 1 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The dataset includes data from the ProSensing 95 GHz W-band cloud radar, which is part of the NASA Goddard Space Flight Center (GSFC) Aerosol, Cloud, Humidity, Interactions Exploring and Validating Enterprise (ACHIEVE) ground-based mobile laboratory. The W-band cloud radar is a scanning 95 GHz dual-polarization (horizontal transmission and co- and cross-polar receiving) Doppler radar used for observing liquid and ice clouds and light precipitation. The instrument measures co- and cross-polar reflectivity, radial velocity, Doppler spectrum width, and signal-to-noise ratio. Linear depolarization ratio was derived from the measured parameters. During the IPHEx campaign, the W-Band radar was used exclusively in vertical-pointing mode. The dataset files are available from May 9 through June 14, 2014 in netCDF-3 data format. proprietary +gpmwcrlpvex_2 GPM GROUND VALIDATION WYOMING CLOUD RADAR (WCR) LPVEX V2 GHRC_DAAC STAC Catalog 2010-09-16 2010-10-20 19.8372, 59.631, 26.5131, 61.5401 https://cmr.earthdata.nasa.gov/search/concepts/C1979831481-GHRC_DAAC.umm_json The GPM Ground Validation Wyoming Cloud Radar (WCR) LPVEx V2 dataset includes reflectivity and Doppler velocity measurements obtained by the Wyoming Cloud Radar (WCR) flown on board the University of Wyoming King Air (UWKA) aircraft, as well as aircraft navigation parameters. These data were collected as part of the Light Precipitation Validation Experiment (LPVEx) in September and October of 2010 around the Gulf of Finland. The dataset was collected to aid in achieving the overarching goals of LPVEx, to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms and to detect and understand the process of light rainfall formation at high latitudes. Data files are available in netCDF-3 format from September 16 through October 20, 2010 along with browse imagery in PDF and PNG format. proprietary +gpmwebecgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) WEB CAMERA IMAGES GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-03-01 -79.93, 44.18, -79.64, 44.69 https://cmr.earthdata.nasa.gov/search/concepts/C1983018567-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Web Camera Images GCPEx were taken at 5 site locations in Ontario, Canada during the GPM Cold-season Precipitation Experiment (GCPEx), which occurred January 15 through March 1, 2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Mounted as a fixed outdoor camera, the AXIS P1343-E network camera had day/night functionality with an automatically controlled IR filter, adapting to both daylight and dark lighting conditions. These images provided visual records throughout the day of the weather conditions at each site. proprietary +gpmwkacmlpvex_1 GPM GROUND VALIDATION WYOMING KING AIR CLOUD MICROPHYSICS LPVEX V1 GHRC_DAAC STAC Catalog 2010-09-11 2010-10-20 19.8372, 59.6884, 26.5131, 61.5401 https://cmr.earthdata.nasa.gov/search/concepts/C1979831801-GHRC_DAAC.umm_json The GPM Ground Validation Wyoming King Air Cloud Microphysics LPVEx dataset includes, in addition to aircraft parameters, many scientific parameters, such as static pressure, dew point temperature, relative humidity, mixing ratio, liquid water content, and droplet concentration. These data were collected as part of the Light Precipitation Evaluation Experiment (LPVEx) from September 11, 2010 to October 20, 2010 in the Gulf of Finland. The dataset was collected to aid in achieving the overarching goals of LPVEx, to conduct a comprehensive evaluation of precipitation algorithms for current and future satellite platforms and to detect and understand the process of light rainfall formation at high latitudes. It should be noted that multiple instruments were carried aboard the University of Wyoming King Air (UWKA) including the Cloud Microphysics instrument and the Wyoming Cloud Radar (WCR) instrument. Data files are in netCDF-3 format. proprietary +gpmwpecgcpex_1 GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) WIND PROFILER GCPEX V1 GHRC_DAAC STAC Catalog 2012-01-15 2012-03-01 -79.8, 44.1, -79.6, 44.3 https://cmr.earthdata.nasa.gov/search/concepts/C1979832749-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Wind Profiler GCPEx dataset provides post-processed consensus winds and daily quick look plots from the Vaisala Wind Profiler LAP 3000. The daily plots depict wind information, such as wind speed and wind direction, from the profiler and from the Global Environmental Multiscale (GEM) model data. The LAP 3000 is a pulsed Doppler radar that operates in clean air. The Wind profiler data was collected January 15, 2012 through March 1, 2012 for the GPM Cold-season Precipitation Experiment (GCPEx) at the CARE site in Ontario, Canada. This dataset was collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. proprietary +gpmwrflpvex_1 GPM Ground Validation Weather Research and Forecasting (WRF) Model LPVEx V1 GHRC_DAAC STAC Catalog 2010-09-20 2010-10-20 20.806, 58.264, 28.314, 61.88 https://cmr.earthdata.nasa.gov/search/concepts/C1979833249-GHRC_DAAC.umm_json The GPM Ground Validation Weather Research and Forecasting (WRF) Images LPVEx includes model data simulated by the Weather Research and Forecasting (WRF) model for the GPM Ground Validation Light Precipitation Validation Experiment (LPVEx). This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The WRF model provided simulations of the precipitation events that were observed during the campaign. The LPVEx WRF dataset files are available from September 20 through October 20, 2010 in netCDF-3 format. proprietary +gpmwrfmc3e_1 GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E V1 GHRC_DAAC STAC Catalog 2011-04-19 2011-06-06 -115, 25, -80, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1979735447-GHRC_DAAC.umm_json The GPM Ground Validation Weather Research and Forecasting (WRF) Images MC3E dataset consists of browse only images showing radar reflectivity, radar echo top, convective available potential energy (CAPE), temperature, geopotential height, wind speed, relative humidity, rain water, snow, cloud water, cloud ice, and graupel. These data were simulated by the Weather Research and Forecasting (WRF) for the period of the GPM Ground Validation Mid-latitude Continental Convective Cloud Experiment (MC3E) field campaign. The overarching goal of the MC3E field campaign was to provide the most complete characterization of convective cloud systems, precipitation, and the environment ever obtained and to provide new constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land. Browse imagery files in PNG and GIF formats are available for April 19, 2011 through June 6, 2011. proprietary +gpmxetc3vp_1 GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP V1 GHRC_DAAC STAC Catalog 2006-10-04 2007-03-31 -79.79, 44.22, -79.77, 44.24 https://cmr.earthdata.nasa.gov/search/concepts/C1998274501-GHRC_DAAC.umm_json The GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP dataset consists of surface meteorological data collected at the Environment Canada (EC) XET station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The XET C3VP dataset file includes temperature, pressure, wind speed and direction, relative humidity, solar radiation, grass temperature, soil temperature, snow depth, sunshine, and precipitation measurements from October 4, 2006 through March 31, 2007 in ASCII-csv format. proprietary +gpmxpolifld_1 GPM GROUND VALIDATION IOWA X-BAND POLARIMETRIC MOBILE DOPPLER WEATHER RADARS IFLOODS V1 GHRC_DAAC STAC Catalog 2013-04-30 2013-06-16 -92.3511, 41.5293, -90.9114, 43.5375 https://cmr.earthdata.nasa.gov/search/concepts/C1983632696-GHRC_DAAC.umm_json The GPM Ground Validation Iowa X-band Polarimetric Mobile Doppler Weather Radars IFloodS dataset was gathered during the IFloodS campaign from April to June 2013 throughout central and northeastern Iowa. The Iowa Flood Studies (IFloodS) was a ground measurement campaign that took place throughout Iowa from May 1 to June 15, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Four X-band Polarimetric (XPOL) Mobile Doppler Weather Radars were used to collected high-resolution observations of precipitation. The data consists of reflectivity, Doppler velocity, spectrum width, differential reflectivity, differential phase, copolar correlation coefficient, and sound-to-noise ratios. These data are available in netCDF, and browse image files are available in .png format. proprietary gppdi_npp_gridded_xdeg_1023_1 ISLSCP II Global Primary Production Data Initiative Gridded NPP Data ORNL_CLOUD STAC Catalog 1970-01-01 1998-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785304728-ORNL_CLOUD.umm_json Net Primary Production (NPP) is an important component of the carbon cycle and, among the pools and fluxes that make up the cycle, it is one of the steps that are most accessible to field measurement. Direct measurement of NPP is not practical for large areas and so models are generally used to study the carbon cycle at a global scale. This data set contains 2 *.zip files for above ground and total NPP data. proprietary gppdi_npp_point_1033_1 ISLSCP II GPPDI, Net Primary Productivity (NPP) Class B Point Data ORNL_CLOUD STAC Catalog 1932-01-01 1999-12-31 156.7, 45.7, 176.6, 75.55 https://cmr.earthdata.nasa.gov/search/concepts/C2785314336-ORNL_CLOUD.umm_json The Global Primary Production Data Initiative (GPPDI) was set up as a Focus 1 activity of the IGBP Data and Information System, a coordinated international program to improve worldwide estimates of terrestrial net primary productivity (NPP) for parameterization, calibration, and validation of NPP models at various scales.The GPPDI data collection contains documented field measurements of NPP for global terrestrial sites compiled from published literature and other extant data sources. The point measurements of NPP were categorized as either Class A, representing intensively studied or well-documented study sites (e.g., with site-specific climate, soils information, etc.), Class B, representing more numerous extensive sites with less documentation and site-specific information available, or Class C, representing regional collections of half-degree latitude-longitude grid cells. This data set in the ISLSCP II collection represents the GPPDI Class B NPP data. The Class B NPP data file contains biomass dynamics, climate, and site-characteristics data georeferenced to each site. There is one ASCII data file with this data set. proprietary gps-derived-data-of-swe-hs-and-lwc-and-corresponding-validation-data_1.0 GPS-derived data of SWE, HS and LWC and corresponding validation data ENVIDAT STAC Catalog 2018-01-01 2018-01-01 9.8093963, 46.8295131, 9.8093963, 46.8295131 https://cmr.earthdata.nasa.gov/search/concepts/C2789815057-ENVIDAT.umm_json This data set includes GPS-derived snow water equivalent (SWE), snow depth (HS) and liquid water content (LWC) data for three entire snow-covered seasons (2015-2016, 2016-2017, 2017-2018) at the study plot Weissfluhjoch 2540 m a.s.l. (Davos, Switzerland). The procedure to derive these snow properties is described in Koch et al. (2019). The novel approach is based on a combination of GPS signal attenuation and time delay. The dataset also includes corresponding validation data for SWE and HS measured at Weissfluhjoch, and some additional meteorological data used for interpretation of the snow cover evolution. Please refer to the Read-me file for further details on the data. These data are the basis of the following publication: > Koch, F., Henkel, P., Appel, F., Schmid, L., Bach, H., Lamm, M., Prasch, M., Schweizer, J., and Mauser, W., 2019. Retrieval of snow water equivalent, liquid water content and snow height of dry and wet snow by combining GPS signal attenuation and time delay. Water Resources Research, 55(5), 4465-4487. https://doi.org/10.1029/2018WR024431 proprietary grassland-use-intensity-maps-for-switzerland_1.0 Grassland-use intensity maps for Switzerland ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082226-ENVIDAT.umm_json A rule-based algorithm [(Schwieder et al., 2022)](https://doi.org/10.1016/j.rse.2021.112795) was used to produce annual maps for 2018–2021 of grassland-management events, i.e. mowing and/or grazing, for Switzerland using Sentinel-2 and Landsat 8 satellite time series. All satellite images were processed with the [FORCE](https://force-eo.readthedocs.io) framework. The resulting maps provide information on the number and timing of grassland-management events at a spatial resolution of 10 m × 10 m for the whole of Switzerland. For the final maps, permanent grasslands were masked using a variety of land-use layers, according to [Huber et al. (2022)](https://doi.org/10.1002/rse2.298) but replacing the crop mask with the agricultural-use data from the cantons. We assessed the detection of management events based on independent reference data, which we acquired from daily time series of publicly available webcams that are widely distributed across Switzerland. We further tested the ecological relevance of the generated intensity measures in relation to nationwide biodiversity data (see [Weber et al., 2023](https://doi.org/10.1002/rse2.372)). The webcam-based reference data used for verification was subsequently added on 14.02.2024. proprietary gravity_wilkes_1964_1 Gravity Survey Results, Wilkes Ice Cap, 1964-65 AU_AADC STAC Catalog 1964-01-01 1966-01-01 110, -68, 115, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214308605-AU_AADC.umm_json The results of a gravity survey done on Wilkes Ice Cap. No information in the papers on how it was done, dates, etc - just the numbers. Even year is unsure (could be 1964 or 1965 season). These documents have been archived at the Australian Antarctic Division. proprietary green-infrastructure-in-european-strategic-spatial-plans-of-urban_1.0 Green infrastructure in strategic spatial plans: Evidence from European urban regions ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -17.4023437, 33.5917433, 34.6289063, 68.4698482 https://cmr.earthdata.nasa.gov/search/concepts/C2789815116-ENVIDAT.umm_json "The present dataset is part of the published scientific paper Grădinaru, S. R., & Hersperger, A. M. (2019). Green infrastructure in strategic spatial plans: Evidence from European urban regions. Urban forestry & urban greening, 40, 17-28. The goal of this research was to conduct a comparative analysis of the integration of green infrastructure concept in strategic spatial plans of European Urban regions. Specifically, the paper has the following objectivs: 1) which principles of GI planning are followed in strategic plans of urban regions? 2) can we identify different approaches to GI integration into strategic planning?. The study focues on a sample consisting of 14 case studies spanning 11 countries. We retrieved the strategic plans from the websites of the planning authorities. The list of the reviewed planning documents can be found in Appendix A of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. The planning documents were read in order to address the protocol items. The answer to the protocol items in each of the first two categories (items 1–11) was documented as text, while the answer for the third category, namely items addressing the planning principles (items 12–36), was coded according to Table 1 of the article. As a result, we provide the folowing outputs: • GI_Dataset_1_Items_1-12.xlsx – available on request o Results of the coding on general aspects regarding the strategic plans of urban regions as well as extracts from each plan to justify the coding option – this data was derived from the coding procedure coresponding to items from 1 to 12 of the protocol. The data was discussed qualitativly in the research paper. • GI_Dataset_2_Items_12-36.csv – freely available o Results of the coding on principles of GI planning followed in strategic plans of urban regions– this data was derived from the coding procedure coresponding to items from 12 to 36 of the protocol. The data served as input for the classifications performed through hierarchical cluster analysis. This data is a detailed version of Appendix C in the paper." proprietary -grinstedSBB-ECM-VIDEO_Not provided 2km long Surface Conductivity Profile and video recording, Scharffenbergbotnen SCIOPS STAC Catalog 1970-01-01 -11.042684, -74.57969, 11.11278, -74.566 https://cmr.earthdata.nasa.gov/search/concepts/C1214586809-SCIOPS.umm_json Location: Scharffenbergbotnen blue ice area, Heimefrontfjella Electrical Conductivity profile of the surface blue ice (stretching ~2.5km from near the ice fall). At the same time a video recording of the surface ice was made. Positions of the records can be tied together with DGPS. proprietary +gripapr2_1 GRIP AIRBORNE SECOND GENERATION PRECIPITATION RADAR (APR-2) V1 GHRC_DAAC STAC Catalog 2010-08-17 2010-09-22 -97.9192, 11.9008, -56.0457, 34.847 https://cmr.earthdata.nasa.gov/search/concepts/C1979833483-GHRC_DAAC.umm_json The GRIP Airborne Second Generation Precipitation Radar (APR-2) dataset was collected from the Second Generation Airborne Precipitation Radar (APR-2), which is a dual-frequency (13 GHz and 35 GHz), Doppler, dual-polarization radar system. It has a downward looking antenna that performs cross track scans. Additional features include: simultaneous dual-frequency, matched beam operation at 13.4 and 35.6 GHz (same as GPM Dual-Frequency Precipitation Radar), simultaneous measurement of both like- and cross-polarized signals at both frequencies, Doppler operation, and real-time pulse compression (calibrated reflectivity data can be produced for large areas in the field during flight, if necessary). The APR-2 flew on the NASA DC-8 for the Genesis and Rapid Intensification Processes (GRIP) experiment and collected data between Aug 17, 2010 - Sep 22, 2010 and are in HDF-4 format. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. proprietary +gripcaps_1 GRIP CLOUD MICROPHYSICS V1 GHRC_DAAC STAC Catalog 2010-08-13 2010-09-25 -100, 0, -71.5, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1979834641-GHRC_DAAC.umm_json The GRIP Cloud Microphysics dataset was collected during the GRIP campaign from three probes: the Cloud, Aerosol, and Precipitation Spectrometer (CAPS), the Precipitation Imaging Probe (PIP), and the Cloud Droplet Probe (CDP). All are manufactured by Droplet Measurement Technologies in Boulder, CO. The CAPS is a combination of two probes, the Cloud Imaging Probe-Greyscale (CIP-G), and the Cloud and Aerosol Spectrometer (CAS). Images of particles are recorded by the CIP-G and PIP, while the CAS probe measures particle size distribution from 0.55 to 52.5 microns and the CDP measures ice amount. Some ice/liquid water content are derived from the particle size distribution. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. Data was collected 13 Aug 2010 through 25 Sep 2010. proprietary +gripdawn_1 GRIP DOPPLER AEROSOL WIND LIDAR (DAWN) V1 GHRC_DAAC STAC Catalog 2010-08-24 2010-09-22 -97.8173, 11.9999, -55.3185, 34.752 https://cmr.earthdata.nasa.gov/search/concepts/C1979834812-GHRC_DAAC.umm_json The GRIP Doppler Aerosol WiNd Lidar (DAWN) Dataset was collected by the Doppler Aerosol WiNd (DAWN), a pulsed lidar, which operated aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). Data values include Line-of-Sight (LOS) Winds, calculated vertical profiles of horizontal wind velocity, frequency-domain signal energy and time versus latitude and longitude. Instrument details can be found in the dataset documentation. Data was gathered during August 24, 2010 thru September 22, 2010 over the Atlantic Ocean. proprietary +gripdropdc83_3 GRIP DC-8 DROPSONDE V3 GHRC_DAAC STAC Catalog 2010-08-17 2010-09-22 -96.7127, 12.0041, -55.3201, 34.7358 https://cmr.earthdata.nasa.gov/search/concepts/C1979835081-GHRC_DAAC.umm_json The GRIP DC-8 Dropsonde V3 dataset consists of atmospheric pressure, dry-bulb temperature, dew point temperature, relative humidity, wind direction, wind speed, and fall rate measurements taken during 16 research flights during the Genesis and Rapid Intensification Processes (GRIP) campaign from August 17, 2010 to September 22, 2010. The GRIP campaign was conducted to better understand how tropical storms form and how these storms develop into major hurricanes. The DC-8 Airborne Vertical Atmospheric Profiling System (AVAPS) deploys integrated, highly accurate, GPS-located atmospheric profiling dropsondes to measure and record current atmospheric conditions in a vertical column below the aircraft. The dropsondes are ejected from a tube in the underside of the DC-8 aircraft. As the dropsonde descends to the surface via a parachute, it continuously measures and transmits data to the aircraft using a 400 MHz meteorological band telemetry link. Pressure, temperature and relative humidity, as well as GPS-based wind data were collected from 328 dropsondes. These Dropsonde data are in ASCII-csv file format. proprietary +gripflt_1 GRIP FLIGHT TRACKS AND ANIMATIONS V1 GHRC_DAAC STAC Catalog 2010-08-13 2010-09-25 -100, 0, -71.5, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1979836293-GHRC_DAAC.umm_json The GRIP Flight Tracks and Animations dataset includes both KML files and animation files. The KML files use Google Earth to show the flight tracks on a map. The animations vary by type. Created by the Real-time Mission Monitor (RTMM) software, the .avi files show the flight track versus time superimposed over the GOES Infrared (IR) data from August 13, 2010 to September 25, 2010. The National SubOrbital Education and Research Center provided a file in two formats (.mov, .mp4) viewing hurricane Earl from the NASA DC-8 aircraft. Also a NBC newscast informs the public of the GRIP's goals during the campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). proprietary +gripghis_1 GRIP NOAA GLOBAL HAWK IN-FLIGHT TURBULENCE SENSOR (GHIS) V1 GHRC_DAAC STAC Catalog 2010-08-15 2010-09-24 -124.4, 12.0902, -71.4565, 37.068 https://cmr.earthdata.nasa.gov/search/concepts/C1979836585-GHRC_DAAC.umm_json The GRIP NOAA Global Hawk In-Flight Turbulence Sensor (GHIS) dataset was collected by the NOAA Global Hawk In-flight Turbulence Sensor (GHIS) instrument, which measures acceleration at the location of the instrument. Two accelerometers (2g and 5g full scale) are used on each of two measurement axes. The GHIS accelerometers are from the Model 1221 family manufactured by Silicon Designs, Inc. with a frequency response of 400-600Hz. The data system samples each sensor output at 1000 Hz and processes these data to produce mean, maximum, and root-mean square (RMS) values at 10 Hz. The processed data are then broadcast on the Global Hawk internet and brought to the ground via Status and User User Datagram Protocol (UDP) packets. GHIS operated on the Global Hawk for the Genesis and Rapid Intensification Processes (GRIP) experiment and collected data between Aug 15, 2010 - Sep 23, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). proprietary +gripgoes11B_1 GRIP GOES 11 VISIBLE AND INFRARED IMAGES V1 GHRC_DAAC STAC Catalog 2010-08-15 2010-10-01 -100, 0, 0, 45 https://cmr.earthdata.nasa.gov/search/concepts/C1979836735-GHRC_DAAC.umm_json The GRIP GOES 11 Visible and Infrared Images dataset was produced and archived in near real-time at the Global Hydrology Resource Center throughout the Genesis and Rapid Intensification Processes (GRIP) campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The GOES I-M Imager is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the Earth. These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-11 images are available for all dates between August 15 and September 30, 2010 at 15 minute intervals throughout this time period. proprietary +gripgoes13B_1 GRIP GOES 13 VISIBLE AND INFRARED IMAGES V1 GHRC_DAAC STAC Catalog 2010-08-15 2010-09-30 -129, 0, 0, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1983100289-GHRC_DAAC.umm_json The GRIP GOES 13 Visible and Infrared Images dataset was produced and archived in near real time at the Global Hydrology Resource Center throughout the Genesis and Rapid Intensification Processes (GRIP) campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The GOES I-M Imager is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the Earth. These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between August 15 and September 30, 2010 at 15 minute intervals throughout this time period. proprietary +gripgoesot_1 GRIP GOES 13 OVERSHOOTING TOP V1 GHRC_DAAC STAC Catalog 2010-08-07 2010-10-01 -118.039, 1.2498, -37.9341, 43.9066 https://cmr.earthdata.nasa.gov/search/concepts/C1979847172-GHRC_DAAC.umm_json The GRIP GOES 13 Overshooting Top dataset was produced during the GRIP Field Experiment for use with the Real Time Mission Monitor (RTMM) tool. The major goal was to better understand how tropical storms form and develop into major hurricanes. The magnitude of each overshooting top is the difference between the 'anvil' temperature and the 'overshooting top' temperature. These magnitudess are represented as a color coded display using Google Earth, a virtual globe, map and geographical information program. proprietary +griphamsr_1 GRIP HIGH-ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1 GHRC_DAAC STAC Catalog 2010-08-28 2010-09-24 -125.227, 11.37, -70.69, 36.647 https://cmr.earthdata.nasa.gov/search/concepts/C1979852766-GHRC_DAAC.umm_json The GRIP High-Altitude MMIC Sounding Radiometer (HAMSR) dataset was collectd by the High Altitude monolithic microwave integrated Circuit (MMIC) Sounding Radiometer (HAMSR) is a microwave atmospheric sounder developed by JPL under the NASA Instrument Incubator Program. The new HAMSR with 183GHz LNA receiver reduces noise to less than a 0.1K level improving observations of small-scale water vapor. HAMSR has 25 spectral channels which are split into 3 bands: an 8-channel band centered 53-GHz, used to infer the 3-D distribution of temperature; a 10-channel band centered at 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered at 183 GHz, used to measure water vapor (humidity) and cloud liquid water content in the atmosphere. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the life cycle of hurricanes. proprietary +griphirad1_1 GRIP HURRICANE IMAGING RADIOMETER (HIRAD) V1 GHRC_DAAC STAC Catalog 2010-09-01 2010-09-16 -95.5915, 18.2751, -71.0313, 30.1404 https://cmr.earthdata.nasa.gov/search/concepts/C1979853044-GHRC_DAAC.umm_json The GRIP Hurricane Imaging Radiometer (HIRAD) V1 dataset contains measurements of brightness temperature taken at 4, 5, 6 and 6.6 GHz, as well as MERRA 2 m wind speed data and JPL MUR Sea Surface Temperature data. The data is provided in netCDF format. The data were collected during the Genesis and Rapid Intensification Processes (GRIP) experiment from September 1, 2010 through September 16, 2010 for storms EARL and KARL. Rain rate and wind speed files may be obtained from the V0 HIRAD dataset. The major goal was to better understandhow tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned AirborneSystem (UAS), configuredwith a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.HIRAD is a hurricane imaging, single-polarization passive C-band radiometer with both cross-track and along-track resolution that measures strong ocean surface winds through heavy rain from an aircraft or space-based platform. Its swath width is approximately 60 degrees in either direction. proprietary +griphirad_0 GRIP HURRICANE IMAGING RADIOMETER (HIRAD) V0 GHRC_DAAC STAC Catalog 2010-09-01 2010-09-16 -95.2, 18.5, -71.5, 28.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979852887-GHRC_DAAC.umm_json The GRIP Hurricane Imaging Radiometer (HIRAD) dataset was collected by the HIRAD instrument, which is a hurricane imaging, single-polarization passive C-band radiometer with both cross-track and along-track resolution that measures strong ocean surface winds through heavy rain from an aircraft or space-based platform. Its swath width is approximately 60 degrees in either direction. V0 data contains brightness temperature measurements taken at a 5 GHz frequency. Rain rate and wind speed files for Hurricane Earl have been added to the collection. HIRAD data was collected for storms Earl and Karl during the Genesis and Rapid Intensification Processes (GRIP) experiment from September 1, 2010 through September 16, 2010. The major goal was to better understandhow tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned AirborneSystem (UAS), configuredwith a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. proprietary +griphiwrap_1 GRIP HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1 GHRC_DAAC STAC Catalog 2010-09-16 2010-09-24 -96.0111, 12.0907, -77.1902, 26.4101 https://cmr.earthdata.nasa.gov/search/concepts/C1979853297-GHRC_DAAC.umm_json The GRIP High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) dataset was collected by the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ka- and Ku-band) conical scan system, configured with a nadir viewing antenna on the Global Hawk aircraft. The HIWRAP instrument provides calibrated reflectivity and unfolded Doppler velocity. These dual-frequency radar measurements have frequencies similar to that of the GPM. These data are from the Genesis and Rapid Intensification Processes (GRIP) experiment from September 16, 2010 through September 24, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. HIWRAP flew on the Global Hawk aircraft mainly over the Gulf of Mexico. proprietary +griplarge_1 GRIP LANGLEY AEROSOL RESEARCH GROUP EXPERIMENT (LARGE) V1 GHRC_DAAC STAC Catalog 2010-08-24 2010-09-22 -97.83, 12, -55.3183, 34.7517 https://cmr.earthdata.nasa.gov/search/concepts/C1979855136-GHRC_DAAC.umm_json The GRIP Langley Aerosol Research Group Experiment (LARGE) dataset was collected by the Langley Aerosol Research Group Experiment (LARGE), which measures ultrafine aerosol number density, total and non-volatile aerosol number density, dry aerosol size distribution, total and submicron aerosol absorption coefficients, total and submicron aerosol scattering coefficients, and total scattering and hemispheric backscattering coefficients. Instruments used during LARGE derived aerosol size statistics (mode, number and mass mean diameters, etc.), aerosol surface area and mass loading, aerosol extinction, single scattering albedo, and angstrom coefficients. This dataset was collected during the Genesis and Rapid Intensification Processes (GRIP) experiment, which a NASA Earth science field experiment. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. The GRIP LARGE dataset collected data over the Gulf of Mexico from August 6, 2010 to September 22, 2010. proprietary +griplase_1 GRIP LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1 GHRC_DAAC STAC Catalog 2010-08-13 2010-09-25 -117.083, 12, -55.3183, 34.7533 https://cmr.earthdata.nasa.gov/search/concepts/C1979855347-GHRC_DAAC.umm_json The GRIP Lidar Atmospheric Sensing Experiment (LASE) dataset was collected by NASA's Lidar Atmospheric Sensing Experiment (LASE) system, which is an airborne Differential Absorption Lidar (DIAL) system used to measure water vapor, aerosols, and clouds throughout the troposphere. LASE is onboard the NASA DC-8 aircraft and probes the atmosphere using lasers to transmit light in the 815-nm absorption band of water vapor. Pulses of laser light are fired vertically below the aircraft. A small fraction of the transmitted laser light is reflected from the atmosphere back to the aircraft and collected with a telescope receiver. The received light indicates the amount of water vapor along the path of the laser beam. LASE operated in the Genesis and Rapid Intensification Processes (GRIP) experiment with data spanning between August 13, 2010 through September 25, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. proprietary +griplip_1 GRIP LIGHTNING INSTRUMENT PACKAGE (LIP) V1 GHRC_DAAC STAC Catalog 2010-08-28 2010-09-24 -124.4, 12.09, -71.457, 35.997 https://cmr.earthdata.nasa.gov/search/concepts/C1979855527-GHRC_DAAC.umm_json The GRIP Lightning Instrument Package (LIP) dataset was collected by the Lightning Instrument Package (LIP), which consists of 6 rotating vane type electric field mill sensors along with a central computer to record and monitor the instruments. The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). During the GRIP campaign the LIP instrument package flew aboard the Global Hawk aircraft. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. proprietary +gripmisrep_1 GRIP CAMPAIGN REPORTS V1 GHRC_DAAC STAC Catalog 2010-07-28 2010-09-30 -100, 0, -71.5, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1979855677-GHRC_DAAC.umm_json The GRIP Campaign Reports dataset consists of various reports filed by scientists during the GRIP campaign which took place 8/15/2010 - 9/30/2010; however, several of the reports are from the planning and test flights. Reports included in this dataset contain information for the Tri Agency Mission Scientists; DC-8, Global Hawk, and WB-57 Platform Scientists; DC-8, Global Hawk, and WB-57 Flight Reports and WB-57 Flight Summary; GRIP Telecons; and TropicalGRIP Forecasts. The Tri Agency Mission Scientists reports, GRIP telecons and Forecast reports were primarily filed daily, while the Platform and Flight reports exist primarily for flight days. proprietary +gripmms_1 GRIP DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1 GHRC_DAAC STAC Catalog 2010-08-10 2010-09-25 -118.433, 11.991, -55.322, 34.754 https://cmr.earthdata.nasa.gov/search/concepts/C1979856245-GHRC_DAAC.umm_json The GRIP DC-8 Meteorological measurement System (MMS) dataset was collected by the Meteorological Measurement System (MMS), which provides high-resolution, accurate meteorological parameters (pressure, temperature, turbulence index, and the 3-dimensional wind vector). The MMS hardware consists of 3 major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. In addition to making the in flight measurements, a major and necessary step is the post mission systematic calibration and data processing. The primary data set consists of 1 Hz meteorological data (P, T, 3D winds). The secondary data set at 20 Hz includes the meteorological data and additional parameters such as Potential-Temperature; True-Air-Speed; aircraft GPS position, velocities, attitudes, acceleration and air flow data (angle-of-attack, sideslip) from August 10, 2010 through September 25, 2010. The Genesis and Rapid Intensification Processes (GRIP) experiment was a NASA Earth science field experiment. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. proprietary +gripmsg_1 GRIP METEOSAT SECOND GENERATION (MSG) IMAGE DATA V1 GHRC_DAAC STAC Catalog 2010-08-15 2010-09-30 -70, -70, 70, 70 https://cmr.earthdata.nasa.gov/search/concepts/C1983148163-GHRC_DAAC.umm_json The GRIP Meteosat Second Generation (MSG) Image Data was collected during the Genesis and Rapid Intensification Processes (GRIP) experiment from August 15, 2010 to September 30, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. Infrared and visible radiances, and water vapor were measured. Meteosat Second Generation (MSG) consists of a series of four geostationary meteorological satellites, along with ground-based infrastructure, that will operate consecutively until 2020. The MSG system is established under cooperation between The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and the European Space Agency (ESA) to ensure the continuity of meteorological observations from geostationary orbit. The MSG satellites carry an impressive pair of instruments, the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels and provide image data which is core to operational forecasting needs, and the Geostationary Earth Radiation Budget (GERB) instrument supporting climate studies. proprietary +gripnavdc8_1 GRIP DC-8 NAVIGATION AND HOUSEKEEPING DATA V1 GHRC_DAAC STAC Catalog 2010-08-10 2010-09-22 -118.43, 11.9998, -55.3183, 34.7533 https://cmr.earthdata.nasa.gov/search/concepts/C1979856855-GHRC_DAAC.umm_json The GRIP DC-8 Navigation and Housekeeping Data contains aircraft navigational data obtained during the GRIP campaign (15 Aug 2010 - 30 Sep 2010). The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA DC-8 is outfitted with a navigational recording system which in combination with the Research Environment for Vehicle-Embedded Analysis on Linux (REVEAL) provides detailed flight parameters such as airspeed, altitude, roll/pitch/yaw angles, ground speed, flight level wind speed, temperature and many others. The REVEAL system is a configurable embedded system for facilitating integration of instrument payloads with vehicle systems and communication links. REVEAL systems currently serve as onboard data acquisition, processing, and recording systems. proprietary +gripnavgh_1 GRIP GLOBAL HAWK NAVIGATION AND HOUSEKEEPING DATA V1 GHRC_DAAC STAC Catalog 2010-08-15 2010-09-24 -124.4, 12.0902, -71.4565, 37.068 https://cmr.earthdata.nasa.gov/search/concepts/C1979859823-GHRC_DAAC.umm_json The GRIP Global Hawk Navigation and Housekeeping data was collected from August 15, 2010 to September 24, 2010 during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The Global Hawk is an unmanned Airborne System configured with in situ and remote sensing instruments, including the Lightning Imaging Package (LIP), High Altitude Wind and Rain Profiler (HIWRAP), and High Altitude MMIC Sounding Radiometer (HAMSR). Data was collected for 7 dates and is in the IWGADTS IWG1 format. The dataset also includes XML files containing metadata documenting the parameters and their format collected during each day's flight. proprietary +gripnavwb57_1 GRIP WB-57 NAVIGATION AND HOUSEKEEPING DATA V1 GHRC_DAAC STAC Catalog 2010-08-27 2010-09-17 -96.3391, 17.2358, -71.5164, 30.6829 https://cmr.earthdata.nasa.gov/search/concepts/C1979859991-GHRC_DAAC.umm_json The GRIP WB-57 Navigation and Housekeeping data was collected on flight days occuring between July 13 , 2010 to September 17, 2010 during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA WB-57 is a weather research aircraft capable of operating for extended periods of time (~6.5 hours) from sea level to altitudes well over 60,000 feet (12 miles high). Both data in IWG1 format and error logs are part of this dataset. proprietary +gripradio_1 GRIP BARBADOS/CAPE VERDE RADIOSONDE V1 GHRC_DAAC STAC Catalog 2010-08-14 2010-09-24 -59.6251, 13.1, -24.8671, 16.8644 https://cmr.earthdata.nasa.gov/search/concepts/C1979860117-GHRC_DAAC.umm_json The GRIP Barbados/Cape Verde radiosonde data set consists of generally two soundings per day (06Z and 12Z) launched from Barbados, and one sounding per day (12Z) launched from Cape Verde during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. These radiosondes measure the profile of atmospheric pressure, temperature, humidity, wind speed and direction, from the ground to an altitude of up to 40 km (in general, the sondes reached at least a pressure of 100 milibars). The launch program began on August 14, 2010 and ended September 24, 2010. The sondes used were type DFM-06, built by GRAW Radiosondes, Nuremberg Germany. Most ascents were done with TOTEX 200-g latex balloons using the DMF-06 sondes. A few launches were made using TOTEX 800-g Balloons with the DFM-97 package (connected with ECC ozonesonde). On some days launch times were changed, and multiple launches were made from Barbados on September 9, 10 and 21. The data were retrieved using a GRAWMET GS-E ground station. The sample rate of the data was 4 seconds for the Barbados data and 2 seconds for the Cape Verde data. proprietary +gripstorm_1 GRIP Hurricane and Tropical Storm Forecasts V1 GHRC_DAAC STAC Catalog 2010-08-12 2010-11-14 -178.5, 0.8, 0, 87.6 https://cmr.earthdata.nasa.gov/search/concepts/C1979860341-GHRC_DAAC.umm_json The GRIP Hurricane and Tropical Storm Forecasts dataset consists of tropical cyclone model forecast tracks archived during the NASA Genesis and Rapid Intensification Processes (GRIP) field campaign. GRIP was one of three hurricane field campaigns conducted during the 2010 Atlantic/Pacific hurricane season. This tri-agency effort included NASA GRIP, the NSF Pre-Depression Investigation of Cloud-systems in the Tropics (PREDICT) and the NOAA Intensity Forecasting Experiment 2010 (IFEX10). The hurricane and tropical storm forecasts data files are available from August 12 through November 14, 2010 in ASCII text format with browse files in KML format, viewable in Google Earth. The ASCII text files contain 5-day model “consensus” forecasts and the KML browse files contain model forecasts ranging from 5-days to 10-days. proprietary groundwater-time-series-studibach-rinderer-et-al-2019-wrr_1.0 Groundwater time series Studibach (Rinderer et al., 2019, WRR) ENVIDAT STAC Catalog 2019-01-01 2019-01-01 8.7220859, 47.0382382, 8.7220859, 47.0382382 https://cmr.earthdata.nasa.gov/search/concepts/C2789815127-ENVIDAT.umm_json Groundwater time series between 2010 and 2014 of the distributed monitoring system in the Studibach (C7), Alptal, Switzerland. Data published in Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R proprietary gtopo30_hydro_1k_Not provided GTOPO30 Hydro 1K USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567910-USGS_LTA.umm_json HYDRO1k is a geographic database developed to provide comprehensive and consistent global coverage of topographically derived data sets, including streams, drainage basins and ancillary layers derived from the USGS' 30 arc-second digital elevation model of the world (GTOPO30). HYDRO1k provides a suite of geo-referenced data sets, both raster and vector, which will be of value for all users who need to organize, evaluate, or process hydrologic information on a continental scale. proprietary gtree_1.0 G-TREE: Global Treeline Range Expansion Experiment Davos, Switzerland ENVIDAT STAC Catalog 2018-01-01 2018-01-01 9.86624, 46.771906, 9.86624, 46.771906 https://cmr.earthdata.nasa.gov/search/concepts/C2789815146-ENVIDAT.umm_json # Background information Climate change-induced range expansion of treeline populations depends on their successful recruitment, which requires dispersal of viable seeds followed by successful establishment of individual propagules. The Global Treeline Range Expansion Experiment (G-TREE) is a global initiative involving researchers from Europe, North America, Australia and New Zealand (Brown et al., 2013). At 15 alpine and Arctic treeline sites worldwide the mechanisms determining the elevational and latitudinal distribution of tree populations are studied using a standardized experimental approach. In summer 2013, a multifactorial seedling recruitment experiment has been established at the Stillberg ecological treeline research site. The aim of this experiment, is to quantify the effect of multiple abiotic and biotic drivers on emergence, survival, and growth of *Larix decidua* and *Picea abies* seedlings in replicated plots along an elevation gradient with three sites below (1930 m a.s.l.), at (2090 m a.s.l.), and above treeline (2410 m a.s.l.; Frei et al., 2018). All plots have been surveyed annually to count seedlings and to measure their total height. Additional environmental factors, such as soil temperature, have been recorded. # Experimental design The Stillberg research area is located in the Eastern Swiss Alps near Davos, Switzerland. The site has been used for several long-term monitoring as well as experimental studies for the last four decades. Our G-TREE experiment consists of a lowest site located in a subalpine Larch-Spruce forest (*Larici-Picetum*) dominated by *Larix decidua* and *Picea abies* (1930 m a.s.l.), a transition zone site dominated by alpine shrubs (2100 m a.s.l.), and an uppermost site in an alpine meadow with some dwarf shrubs (2390 m a.s.l.). The three experimental sites were set up following the standard protocol of the global G-TREE initiative (Brown et al., 2013). In a split-plot design, 20 plots (224 cm × 45 cm) were established at each site, which were randomly assigned to the 2 × 2 treatment combinations of the main factors seeding and scarification (i.e. seeding and scarification, seeding only, scarification only, and full control), resulting in five replications per main treatment combination. Each plot was divided into 16 split-plots (22.5 cm × 28 cm), to which treatment combinations of four additional two-level factors species (larch and spruce), provenance (low- and high-elevation), herbivore exclosure (with and without exclosure), and seeding year (2013, 2014) were randomly assigned, which resulted in a total of 960 split-plots (Details see Frei et al. 2018). # Data description All plots have been surveyed annually to count seedlings and to measure their total height. Seedling height was assessed with a hand ruler as the total length from the original emerging point to the apical meristem (Details see Frei et al. 2018). Additionally, soil temperature at each site, has been continuously recorded since 2013. Here, we present data from eight years (2013–2021). proprietary @@ -14046,6 +12255,10 @@ h9rgtb94_230_1 BOREAS 1994 HYD-09 Tipping Bucket Rain Data ORNL_CLOUD STAC Catal h9rgtb95_232_1 BOREAS 1995 HYD-09 Tipping Bucket Rain Data ORNL_CLOUD STAC Catalog 1995-01-01 1995-12-31 -105.14, 53.9, -98.34, 55.93 https://cmr.earthdata.nasa.gov/search/concepts/C2807610223-ORNL_CLOUD.umm_json Contains the Tipping Bucket rain gauge data that was collected by the HYD09 group at various locations. proprietary h9rgtb96_234_1 BOREAS 1996 HYD-09 Tipping Bucket Rain Data ORNL_CLOUD STAC Catalog 1996-01-01 1996-12-31 -105.14, 53.9, -98.34, 55.94 https://cmr.earthdata.nasa.gov/search/concepts/C2807611306-ORNL_CLOUD.umm_json Contains the Tipping Bucket rain gauge data that was collected by the HYD09 group at various locations. proprietary habitat-map-of-switzerland_1.0 The Habitat Map of Switzerland v1 ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815160-ENVIDAT.umm_json Lebensraumkarte der Schweiz/La carte des milieux naturels de Suisse The FOEN funded project ‘Developing a Habitat Map of Switzerland’ conducted at the WSL, has produced a map of Swiss habitats according to the TypoCH classification (Delarze et al. 2015) wall-to-wall across the whole of Switzerland, to at least the classification’s 2nd level of detail (where possible to the 3rd level of detail). The implementation of the Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Habitats are mapped through a variety of approaches that can be grouped as either: 1: Derived from the existing Swiss-wide high quality landcover mapping from Swisstopo’s Topographical Landscape Model (TLM), 2: Modelled within the project using Random Forest or Ensemble Modelling techniques to model the spatial distribution of individual habitat types, 3: Combining existing species distribution models to determine habitat types, or 4: Classification with relatively simple rule-sets based on auxiliary spatial datasets, i.e. vegetation height models, the digital terrain model, the normalised difference vegetation index (NDVI) derived from aerial imagery and/or time-series of growing season Sentinel-2 satellite imagery. Further detail on the methodology can be found within the README document. proprietary +hamsrcpex_1 High Altitude MMIC Sounding Radiometer (HAMSR) CPEX V1 GHRC_DAAC STAC Catalog 2017-05-24 2017-07-16 -99.95, 5.05, -45.05, 39.95 https://cmr.earthdata.nasa.gov/search/concepts/C2624567100-GHRC_DAAC.umm_json The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. Data are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary +hamsrcpexaw_1 High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-AW V1 GHRC_DAAC STAC Catalog 2021-08-17 2021-09-04 -118.078, 11.768, -45.122, 34.613 https://cmr.earthdata.nasa.gov/search/concepts/C2257989308-GHRC_DAAC.umm_json The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-AW dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available from August 17, 2021 through September 4, 2021 in netCDF-3 format, with associated browse files in PNG format. proprietary +hamsrcpexcv_1 High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-CV GHRC_DAAC STAC Catalog 2022-09-06 2022-09-30 -40.6360016, 1.848, 3.9360001, 79.5830002 https://cmr.earthdata.nasa.gov/search/concepts/C2704126285-GHRC_DAAC.umm_json The High Altitude MMIC Sounding Radiometer (HAMSR) CPEX-CV dataset includes measurements gathered by the HAMSR instrument during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign will be based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. Data are available from September 6-30, 2022 in netCDF-4 format. proprietary +hamsrepoch_1 High Altitude MMIC Sounding Radiometer (HAMSR) EPOCH V1 GHRC_DAAC STAC Catalog 2017-08-09 2017-08-31 -125.321, 16.116, -83.077, 36.473 https://cmr.earthdata.nasa.gov/search/concepts/C2204630442-GHRC_DAAC.umm_json The High Altitude MMIC Sounding Radiometer (HAMSR) EPOCH dataset includes measurements gathered by the HAMSR instrument during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. HAMSR has 25 spectral channels which are split into 3 bands to provide measurements that can be used to infer the 3 dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available from August 9, 2017 through August 31, 2017 in netCDF-3 format. proprietary handheld_haze_708_1 SAFARI 2000 Atmospheric Aerosol Measurements, Hand-held Hazemeters, Zambia ORNL_CLOUD STAC Catalog 2000-06-01 2000-09-30 21.55, -18.7, 34.45, -7.69 https://cmr.earthdata.nasa.gov/search/concepts/C2788378273-ORNL_CLOUD.umm_json In conjunction with the AERONET (AErosol RObotic NETwork) participation in SAFARI 2000, the USDA Forest Service deployed handheld hazemeters in western Zambia from mid-June to late September 2000. Thirty-eight hazemeters were deployed within a 900 km x 900 km region in western Zambia to verify and study the aerosol properties in MODIS data. The handheld measurements were compared with satellite measurements. The hazemeter data were used to examine the effects of inhomogeneous atmosphere on MODIS aerosol product validation and to investigate the dependency of MODIS aerosol measurements on look angle and ground vegetation. proprietary hcmm_Not provided Heat Capacity Mapping Mission (HCMM) USGS_LTA STAC Catalog 1978-04-01 1980-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567859-USGS_LTA.umm_json The mission was the first of a series of NASA Applications Explorer Missions and is also known as AEM-A. Day/night coverage over a given area occurred at intervals ranging from 12 to 36 hours with a 16 day repeat cycle. The satellite was operational from April 1978 to September 1980. The initial orbit of 620 km was lowered to 540 km in February of 1980. Coverage includes parts of the United States, Canada, Europe, Africa, and Australia. The source data was transmitted to seven ground stations and stored on binary magnetic tape. The source data on tape is no longer readable and the only remaining set of HCMM data is on black and white film. Since the data could be of historical value for global change research, the images have been scanned at 1000 dpi (25 micron) making the data accessible to the scientific community. The collection includes approximately 47,000 scenes with a Hotine Oblique Mercator projection. The Heat Capacity Mapping Mission Radiometer operated with two channels. The first detected visible to near infrared (0.5 – 1.1 micrometers) radiation and the second detected thermal infrared (10.5 – 12.5 micrometers) radiation. HCMM nomenclature refers to the visible to near infrared channel as Vis and the thermal infrared channel as IR. The scenes are designated as Day-Vis, Day-IR or Night-IR. A HCMM scene has a width of 715 km with a resolution of 500 meters for the visible channel and 600 meters for the thermal channel. proprietary hcmm_digital_source_Not provided Heat Capacity Mapping Mission Digital Source USGS_LTA STAC Catalog 1978-04-01 1980-11-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567920-USGS_LTA.umm_json The HCMM Digital Source dataset includes approximately 2400 scenes of recovered digital data with a resolution of 100 dpi. The original scenes are 715 km wide and vary in length from 715 to 3,000 km. The file size is 3-13 MB depending on the length of the scene and is stored in a TIFF format. The source data was transmitted to seven ground stations and stored on binary magnetic tape. The source data on tape is no longer readable and the only remaining set of HCMM data is on black and white film. proprietary @@ -14079,6 +12292,8 @@ historic_cropland_xdeg_966_1 ISLSCP II Historical Croplands Cover, 1700-1992 ORN historic_landcover_xdeg_967_1 ISLSCP II Historical Land Cover and Land Use, 1700-1990 ORNL_CLOUD STAC Catalog 1700-01-01 1990-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784888644-ORNL_CLOUD.umm_json The Historical Land Cover and Land Use data set was developed to provide the global change community with historical land use estimates. The data set describes historical land use changes over a 300-year historical period (1700-1990).Testing against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate and biogeochemical systems, these models should aim to simulate the land use dynamics for long periods, i.e., spanning decades to centuries. Developing such models requires an understanding of past and current trends and is therefore strongly data dependent. For this purpose, a historical database of the global environment has been developed: HYDE. Historical statistical inventories on agricultural land (census data, tax records, land surveys, etc) and different spatial analysis techniques were used to create a geographically-explicit data set of land use change, with a regular time interval. The data set can be used to test integrated models of global change. Continental-scale historical data were used for that period. proprietary historical_croplands_675_1 LBA Regional Historical Croplands, 5-min, 1900-1992 (Ramankutty and Foley) ORNL_CLOUD STAC Catalog 1900-01-01 1992-12-31 -80, -18, -35, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2777324668-ORNL_CLOUD.umm_json This data set is a subset of a global croplands data set (Ramankutty and Foley 1999a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The data are in ASCII GRID format at 5-min resolution.Navin Ramankutty and Jonathan Foley, of the Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin, developed a global, spatially explicit data set of reconstructed historical croplands from 1700 to 1992. The method for historical reconstruction used a simple algorithm that linked contemporary satellite data and historical cropland inventory data. A spatially explicit croplands data set for 1992 was first derived by calibrating a satellite-derived land cover classification data set against cropland inventory data for 1992. This derived data set was then used within a simple land cover change model, along with historical cropland inventory data, to derive spatially explicit maps of historical croplands. The global data set was restricted to a representation of permanent croplands (i.e., excluding shifting cultivation), which follows the Food and Agriculture Organization (FAO) definition of arable lands and permanent crops. Data values represent fraction of grid cell in croplands.Data for the LBA study area are available for the years 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, and 1992. Although the global croplands data set contains data representing croplands since 1700, essentially no croplands were in the LBA study area until 1900. Data from previous years were excluded at the suggestion of the data originator.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/historical_croplands/comp/uwcrop_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html. proprietary history-of-wetlands-in-switzerland-since-1850_1.0 History of wetlands in Switzerland since 1850 ENVIDAT STAC Catalog 2019-01-01 2019-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815260-ENVIDAT.umm_json "Naturally, large parts of the Swiss Plateau are characterised by wetlands and meandering rivers. That this is no longer the case today is the result of centuries of efforts to obtain dry land. But how did this process take place? What were the relevant actors and what were their motivations? And what can be said about the ecological consequences of this development? In a research project on the history of wetlands in Switzerland since 1700, we conducted (a) a historical analysis of the development of land use in wetlands and the actors involved, (b) a historical-cartographic reconstruction of wetland extent since 1850 and (c) an evaluation of ecological effects of changes in wetlands on various organisms groups. The series of GIS layers on wetland history stem from the second part of the project. The area reconstruction is based on digitized and homogenized signatures from national map series, as they have been available since about 1850. Details about the digitalization process and the homogenization procedures applied (""Rekonstruktionen"") are included in Stuber & Bürgi 2019. __Book Citation:__ > Stuber M, Bürgi M (2019) Vom «eroberten Land» zum Renaturierungsprojekt. Geschichte der Feuchtgebiete in der Schweiz seit 1700. ""Bristol Schriftenreihe"", Band 59. Haupt Verlag, Bern, Stuttgart, Wien. 262 Seiten." proprietary +hiwat_1 High-Impact Weather Assessment Toolkit (HIWAT) GHRC_DAAC STAC Catalog 2017-04-02 60.562, 10.632, 111.438, 45.951 https://cmr.earthdata.nasa.gov/search/concepts/C2756158683-GHRC_DAAC.umm_json The High Impact Weather Assessment Toolkit (HIWAT) uses a mesoscale numerical weather prediction model and the Global Precipitation Measurement (GPM) constellation of satellites. The toolkit includes a suite of ensemble model forecasts to constrain uncertainties and provide a probabilistic forecast for improved decision-making. The toolkit provides outlooks for lightning strikes, high-impact winds, high rainfall rates, hail damage, and other weather events. The toolkit provides a 54-hour probabilistic forecast over Nepal and Bangladesh along with parts of northeast India (i.e., the Hindu Kush Himalayan region). HIWAT will also support threat assessments, such as thunderstorm intensity, using GPM and impact assessments using Landsat/MODIS land imagery to identify damage scars. The dataset files are available from April 2, 2017, through October 2, 2022, in netCDF-3 format. proprietary +hiwrapimpacts_1 High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IMPACTS GHRC_DAAC STAC Catalog 2020-01-25 2023-02-28 -95.46, 31.073, -64.894, 48.658 https://cmr.earthdata.nasa.gov/search/concepts/C1995871767-GHRC_DAAC.umm_json The High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IMPACTS dataset consists of Equivalent reflectivity factor, Doppler velocity, Doppler velocity spectrum width, Linear Depolarization Ratio (LDR), Ocean normalized radar cross-section, Co-polarization signal-to-noise mask estimates collected by the HIWRAP onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. These data are available from January 25, 2020, through February 28, 2023, in HDF-5 format. proprietary holme_bay_1_10000_gibbney_1 Holme Bay 1:10000 Gibbney Island Mapping AU_AADC STAC Catalog 1998-12-08 2001-09-05 61.58, -68.17, 64.07, -67.37 https://cmr.earthdata.nasa.gov/search/concepts/C1214311142-AU_AADC.umm_json This is the metadata record for the Holme Bay 1:10000 Gibbney Island Mapping (DQI 332) mapped in March 2001 by Hydro Tasmania. proprietary holme_bay_1_10000_rookery_1 Holme Bay 1:10000 Rookery Islands Mapping AU_AADC STAC Catalog 1998-12-08 2001-09-05 61.58, -68.17, 64.07, -67.37 https://cmr.earthdata.nasa.gov/search/concepts/C1214311160-AU_AADC.umm_json This is the metadata record for the Holme Bay 1:10000 Rookery Islands Mapping (DQI 320) mapped early in 1999 by Hydro Tasmania. proprietary holme_bay_1_10000_wigg_1 Holme Bay 1:10000 Wigg Island Mapping AU_AADC STAC Catalog 1998-12-08 2001-09-05 61.58, -68.17, 64.07, -67.37 https://cmr.earthdata.nasa.gov/search/concepts/C1214311143-AU_AADC.umm_json This is the metadata record for the Holme Bay 1:10000 Wigg Island Mapping (DQI 333) mapped in March 2001 by Hydro Tasmania. proprietary @@ -14087,6 +12302,21 @@ holme_bay_dem_1 Digital Elevation Model of Holme Bay, Antarctica AU_AADC STAC Ca holme_bay_gis_1 Holme Bay 1:25,000 gis dataset AU_AADC STAC Catalog 1998-12-08 2001-09-05 61.58, -68.17, 64.07, -67.37 https://cmr.earthdata.nasa.gov/search/concepts/C1214313549-AU_AADC.umm_json The Holme Bay geographical infromation system (GIS) dataset includes the following features: spot heights, geology (erratics only) contours with a 5m contour interval, ice, crevasse fields, hillocks, melt lakes, moraines, rock, snow, cliffs, drift tails, flowlines, glaciers, grounding lines, ridge lines, streams, penguins, masts, lakes and refuges. The data ranges from Low Tongue to Paterson Islands along the Mawson Coast. Data was captured in March 2001, photogrammetically from aerial photography. The aerial photography was captured in March - April 1996 from films ANTC1024, ANTC1025, ANTC1026, ANTC1029, ANTC1031, ANTC1032, ANTC1034 proprietary holme_penguin_gis_1 Holme Bay penguin colonies digitised from 1992-3 Linhof aerial photography AU_AADC STAC Catalog 1992-12-09 1993-01-01 62.61, -67.67, 62.79, -67.53 https://cmr.earthdata.nasa.gov/search/concepts/C1214311122-AU_AADC.umm_json Aerial photography (Linhof) of penguin colonies was acquired over the Holme Bay (Eric Woehler). The penguin colonies were traced, then digitised (John Cox), and saved as DXF-files. Using the ArcView extension 'Register and Transform' (Tom Velthuis), The DXF-files were brought into a GIS and transformed to the appropriate islands. Data conforms to SCAR Feature Catalogue which can be searched (refer to link below). proprietary how-do-stability-corrections-perform-in-the-stable-boundary-layer-over-snow_1.0 How do stability corrections perform in the stable boundary layer over snow? ENVIDAT STAC Catalog 2017-01-01 2017-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815275-ENVIDAT.umm_json We used five different atmospheric turbulence datasets from four test sites, with these sites showing differences in their topographical characteristics. We chose one typical alpine test site with high topographical complexity (Weissfluhjoch, Davos, Switzerland) and three test sites consisting of one glacier site (Plaine Morte, Crans-Montana, Switzerland) and two polar sites (Greenland and Antarctica) representing a quasi-ideal site with homogeneous surface and quasi infinite fetch in all directions. The turbulent sensible heat flux was calculated using the eddy-covariance method. Note that the sonic temperature fluctuations have been converted into virtual temperature fluctuations. Three-dimensional wind velocity and air temperature were processed using a linear detrending (Rannik and Vesala, 1999) and a planar fit approach (Massmann and Lee, 2002) to rotate the coordinate system. Air temperature, relative humidity and air pressure from weather stations were used to calculate air properties, which are required for the data processing. The weather stations are located in the immediate vicinity of the turbulence tower and are affected by the same air masses. Turbulence data were averaged to 30-min intervals, whilst changing to a 15-min time interval marginally affects the heat fluxes at the Weissfluhjoch test site (Mott et al., 2011). Note that we define a negative sensible heat flux as being directed towards the snow surface and a positive sensible heat flux as being directed upwards. The selected datasets and corresponding test sites are briefly introduced below: Weissfluhjoch 2007 (WFJ07): A vertical set-up of two three-dimensional ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) was used at the traditional field site Weissfluhjoch (2540 m asl.) to measure three-dimensional wind velocity and air temperature at a frequency of 20 Hz. The sensors were mounted 3 m and 5 m above the ground and provided reliable data for 50 days between 11 February 2007 and 24 April 2007. Further information on the field campaign can be found in Stössel et al. (2010) and Mott et al. (2011). Weissfluhjoch 2011-13 (WFJ11): Three-dimensional wind velocity and air temperature were recorded at 5 m above the ground at a frequency of 10 Hz with a three-dimensional ultrasonic anemometer (CSAT3). The analysis was conducted for data obtained between February and March in the years 2011-13. Plaine Morte 2007 (PM07): Two three-dimensional ultrasonic anemometers (CSAT3) were installed on a horizontal boom facing opposite directions (west-north-west vs. east-south-east) at 3.75 m above the ground to measure air temperature and three-dimensional wind velocity at 20 Hz. The data were collected at the almost flat field site on the Plaine Morte glacier (2750 m asl.) near Crans-Montana, Switzerland from February to April 2007. High quality meteorological data were additionally recorded and used to force the model. A detailed description about the set-up at the Plaine Morte glacier can be found in Huwald et al. (2009) and Bou-Zeid et al. (2010). Greenland 2000 (GR00): High-frequency three-dimensional ultrasonic anemometer measurements (CSAT3) were recorded at 50 Hz at the Summit Camp (72.3 °N, 38.8 °W, 3208 m asl.) located on the northern dome of the Greenland ice sheet. Data were collected at 1 m and 2 m above the snow surface during summer in 2000 and 2001. Additionally, meteorological measurements were obtained for the post processing and used to force the model. More information about the field campaign can be found in Cullen et al. (2007, 2014). Antarctica 2000 (AA00): A set-up of three vertical three-dimensional ultrasonic anemometers (DA-600, Kaijo Denki) were installed at Mizuho Station (70°42' S, 44°20' E, 2230 m asl.) in Eastern Antarctica at 0.2, 1 and 25 m and recorded turbulence data at a frequency of 100 Hz from October to November 2000. Longwave and shortwave radiation, relative humidity, air and snow surface temperature were additionally measured and used to force the model. More information about the field campaign can be found in Nishimura and Nemoto (2005). proprietary +hs3avaps2_2 HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK ADVANCED VERTICAL ATMOSPHERIC PROFILING SYSTEM (AVAPS) DROPSONDE SYSTEM V2 GHRC_DAAC STAC Catalog 2012-09-07 2014-09-30 -97.5988, 7.9001, -19.0779, 47.1646 https://cmr.earthdata.nasa.gov/search/concepts/C1979860836-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Global Hawk Advanced Vertical Atmospheric Profiling System (AVAPS) Dropsonde System dataset was collected by the Advanced Vertical Atmospheric Profiling System (AVAPS), built by the National Center for Atmospheric Research (NCAR), which served as the dropsonde system for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. AVAPS dropsondes provide in-situ, high-vertical resolution measurements of atmospheric variables including pressure, temperature, humidity, geographic location, and winds, providing a vertical profile of the atmospheric conditions. The raw instrument measurement precision is as follows: pressure +-1.0 hPa, temperature +-0.2 degrees C, wind +-1 ms-1, and humidity +-7 percent. The measured information was transmitted via Iridium or Ku-Band satellite to the ground station where the Global Telecommunications System (GTS) performed additional processing for research and operational purposes. proprietary +hs3cimssbt_1 Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Brightness Temperature V1 GHRC_DAAC STAC Catalog 2014-08-14 2014-10-03 -180, 12, -60, 52 https://cmr.earthdata.nasa.gov/search/concepts/C1983208537-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Brightness Temperature dataset contains infrared images of brightness temperature from the 15th Geostationary Operational Environmental Satellite (GOES-15) and the 10th Meteorological Satellite (METEOSAT-10) during the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The images are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in PNG format. proprietary +hs3cimsscth_1 Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cloud Top Height V1 GHRC_DAAC STAC Catalog 2014-08-14 2014-10-03 -180, 12, -60, 52 https://cmr.earthdata.nasa.gov/search/concepts/C1983220658-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cloud Top Height dataset contains could top height images obtained from infrared observations of the 15th Geostationary Operational Environmental Satellite (GOES-15) and the 10th Meteorological Satellite (METEOSAT-10) using the Algorithm Working Group (AWG) Cloud Height Algorithm (ACHA) for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The images are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in PNG format. proprietary +hs3cimsstot_1 Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops V1 GHRC_DAAC STAC Catalog 2014-08-14 2014-10-03 -180, 12, -60, 52 https://cmr.earthdata.nasa.gov/search/concepts/C1983233595-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops dataset contains browse only data showing tropical overshooting tops derived from METEOSAT and GOES satellites for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in KML format. proprietary +hs3cpl_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK CLOUD PHYSICS LIDAR (CPL) V1 GHRC_DAAC STAC Catalog 2012-09-07 2014-09-30 -118.552, 7.55657, -19.4239, 48.1787 https://cmr.earthdata.nasa.gov/search/concepts/C1979862427-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Global Hawk Cloud Physics Lidar (CPL) dataset includes measurements gathered by the CPL instrument during the HS3 campaign which took place during the hurricane seasons of 2011 through 2014 in the Atlantic Ocean basin region. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. The CPL instrument returns information on the radiative and optical properties of cirrus clouds and aerosols at a high temporal and spatial resolution. CPL uses the 355, 532, and 1064 nm channels and has a small field of view, which eliminates multiple scattering; it offers 30 m vertical resolution and 200 m horizontal resolution. The CPL instrument measures the total (aerosol plus Rayleigh) attenuated backscatter as a function of altitude at each wavelength. Data is available in netCDF/CF format, from 2012 - 2014. proprietary +hs3fltrep_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) FLIGHT REPORTS V1 GHRC_DAAC STAC Catalog 2011-09-01 2014-11-20 -174.843, 7.55657, -19.4239, 51.5268 https://cmr.earthdata.nasa.gov/search/concepts/C1979863005-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Flight Reports provide information about flights flown by the WB-57 and Global Hawk aircrafts during the Hurricane and Severe Storms Sentinel (HS3) campaign from 2012 to 2014. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. Both aircraft are capable of extended operations ranging from 6.5 hours up to 24 hours. Together they can carry large payloads and support altitudes ranging from sea-level to altitudes in excess of 60,000 feet. The large payloads bring a new capability to the science community for measuring, monitoring and observing remote locations of Earth not feasible or practical with piloted aircraft, most other robotic or remotely operated aircraft, or space satellites. The HS3 Flight Reports include information regarding flight number, flight time (beginning and end), location of the flight (flight segments), flight purpose, and comments regarding the flight and mission. In addition, some reports include corresponding satellite imagery, maps of flight tracks and dropsonde locations, and plotted instrument retrievals. proprietary +hs3gmaodustaot_1 Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery V1 GHRC_DAAC STAC Catalog 2014-08-11 2014-10-05 -111, -10, 0, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1979863757-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery dataset consists of browse only imagery showing dust aerosol optical thickness and wind speed/direction from the Goddard Earth Observing System Model, version 5 (GEOS-5). These data are used to see how the Saharan Air Layer (SAL) affects hurricane development during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environmental and storm-scale internal processes, addressing the controversial role of the SAL in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 11, 2014 and October 5, 2014 at 3-hour intervals in PNG format. proprietary +hs3hamsr_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1 GHRC_DAAC STAC Catalog 2011-09-09 2013-09-26 -175.713, 9.239, -54.876, 51.942 https://cmr.earthdata.nasa.gov/search/concepts/C1979868314-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Global Hawk High Altitude MMIC Sounding Radiometer (HAMSR) dataset includes measurements gathered by the HAMSR instrument during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HAMSR has 25 spectral channels which are split into 3 bands: an 8-channel band centered 53-GHz, used to infer the 3-D distribution of temperature; a 10-channel band centered at 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered at 183 GHz, used to measure water vapor (humidity) and cloud liquid water content in the atmosphere. This dataset also contains measurements that can be used to infer the 3-dimensional distribution of temperature, water vapor, and cloud liquid water profiles in the atmosphere, even in the presence of clouds. HAMSR is mounted in payload zone 3 near the nose of the Global Hawk NASA aircraft. Data is available in netCDF/CF format. proprietary +hs3hirad_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) HURRICANE IMAGING RADIOMETER (HIRAD) V1 GHRC_DAAC STAC Catalog 2012-11-05 2014-10-17 -175.343, 12.3911, -55.0826, 52.0268 https://cmr.earthdata.nasa.gov/search/concepts/C1979868580-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Hurricane Imaging Radiometer (HIRAD) was collected by the Hurricane Imaging Radiometer (HIRAD), which was a multi-band passive microwave radiometer operating between 4-6.6 GHz. It used a novel interferometric aperture synthesis technique to produce high resolution wide swath observations without any mechanical scanning of the antenna. The instrument was designed to measure ocean surface wind speed in tropical storms and hurricanes. Developed in collaboration between scientists and engineers at National Aeronautics and Space Administration Marshall Space Flight Center (NASA MSFC), the University of Central Florida, and the University of Michigan, the instrument was first flown on a NASA high altitude aircraft in the Genesis and Rapid Intensification Processes (GRIP) Experiment in 2010 and was then flown for the Hurricane and Severe Storm Sentinel (HS3) in 2012-2014. proprietary +hs3hiwrap_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) HIGH-ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1 GHRC_DAAC STAC Catalog 2013-09-15 2014-10-17 -96.6094, 21.0197, -65.0064, 31.613 https://cmr.earthdata.nasa.gov/search/concepts/C1979869732-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain dataset was collected from the High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ku- and Ka-band, or approximately 14 and 35 GHz), dual-beam (30 degree and 40 degree incidence angle), conically scanning radar that has been designed for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HIWRAP uses solid state transmitters along with a novel pulse compression scheme that results in a system that is considerably more compact and requires less power than typical radars used for precipitation and wind measurements. By conically scanning at 10-20 rpm, its beams sweeped below the Global Hawk collecting Doppler velocity/reflectivity profiles. The unique HIWRAP sampling and phase correction strategy implemented (frequency diversity Doppler processing technique). HIWRAP's dual-wavelength operation enables it to map full tropospheric winds from cloud and precipitation volume backscatter measurements, derive information about precipitation drop-size distributions, and estimate the ocean surface winds using scatterometry techniques. Winds will be retrieved using a gridding approach similar to well-established ground-based multi-Doppler radar wind analyses. More information can be found at http://har.gsfc.nasa.gov/index.php?section proprietary +hs3navgh_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK NAVIGATION V1 GHRC_DAAC STAC Catalog 2012-09-06 2014-09-30 -174.843, 7.55657, -19.4239, 51.5268 https://cmr.earthdata.nasa.gov/search/concepts/C1979869982-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Global Hawk Navigation dataset consists of the real-time navigation and housekeeping data that was acquired from various instruments aboard the Global Hawk including the LN-100G IMU navigation system and the Global Hawk flight computer during the HS3 campaign. The goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes, and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. This dataset was broadcast on the Global Hawk aircraft network by the NASDAT (NASA Airborne Science Data Acquisition and Transmission unit) as 1 Hz Universal Datagram Protocol (UDP) packets. These UDP packets were generated in IWG1 format, a type of ASCII format supported by all NASA and NCAR aircraft. proprietary +hs3nrltrop_1 Hurricane and Severe Storm Sentinel (HS3) Naval Research Laboratory (NRL) Tropics Satellite Data V1 GHRC_DAAC STAC Catalog 2013-07-23 2014-09-30 -113.5, 2.2, -9, 53.9 https://cmr.earthdata.nasa.gov/search/concepts/C1983244465-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Naval Research Laboratory (NRL) Tropics Satellite Data contains browse only data files, including brightness temperature, rain rate, and Red, Green, Blue (RGB) composite imagery, for the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environmental and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. These browse only data files are available for dates between April 22, 2013 and September 30, 2014 in JPG format. proprietary +hs3ships_1 Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity V1 GHRC_DAAC STAC Catalog 2014-03-18 2014-09-30 -179.11, 7.19, -14.99, 44.51 https://cmr.earthdata.nasa.gov/search/concepts/C1979870260-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity dataset was obtained from March 18, 2014 through September 30, 2014 during the Hurricane and Severe Storm Sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The SHIPS model provides tropical storm intensity forecasts for the Atlantic Ocean and the eastern and central North Pacific Ocean storms and invest areas. SHIPS uses GOES infrared imagery as input to the systems. These SHIPS data are available in ASCII format. proprietary +hs3shis_1 Hurricane and Severe Storm Sentinel (HS3) Scanning High-Resolution Interferometer Sounder (S-HIS) V1 GHRC_DAAC STAC Catalog 2011-09-01 2014-09-30 -154.611, 7.55205, -19.2257, 50.0961 https://cmr.earthdata.nasa.gov/search/concepts/C1979871558-GHRC_DAAC.umm_json The Hurricane and Severe Storm Sentinel (HS3) Scanning High-Resolution Interferometer Sounder (S-HIS) measures emitted thermal radiances that are used to obtain temperature and water vapor profiles of the Earth's atmosphere in clear-sky conditions. Due to the S-HIS scanning capability, the instrument provides 2 km resolution (at nadir) across a 40 km wide ground swath when flown at an altitude of 20 km onboard the NASA Global Hawk unmanned aircraft. S-HIS data were collected during the 5-week HS3 field campaign study periods in the 2012 to 2014 Atlantic hurricane seasons. proprietary +hs3wwlln_1 HURRICANE AND SEVERE STORM SENTINEL (HS3) WORLD WIDE LIGHTNING LOCATION NETWORK (WWLLN) STORMS V1 GHRC_DAAC STAC Catalog 2012-08-28 2014-10-20 -116.595, 12.9, -15.001, 68.994 https://cmr.earthdata.nasa.gov/search/concepts/C1979872496-GHRC_DAAC.umm_json The World Wide Lightning Location Network (WWLLN) is a global, ground-based lightning sensor network operated by the University of Washington in Seattle. This network monitors and maps global lightning activity. WWLLN has generated quality controlled global lightning data for storms studied during the 2012-2014 Hurricane and Severe Storm Sentinel (HS3) campaign to track and analyze lightning activity. proprietary husky_sat_1 Husky Massif Satellite Image Map 1:100000 AU_AADC STAC Catalog 1992-07-01 1992-07-31 64.83, -72.23, 68.29, -70.77 https://cmr.earthdata.nasa.gov/search/concepts/C1214311161-AU_AADC.umm_json Satellite image map of Husky Massif, Mac. Robertson Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1992. The map is at a scale of 1:100000, and was produced from Landsat TM scenes (WRS 131-110, 129-110, 129-111). It is projected on a Transverse Mercator projection, and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary hydraulic-resistance-of-pores-in-porous-media-using-dns-of-laminar-flow_1.0 Hydraulic resistance of pores in porous media using DNS of laminar flow ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.5274506, 47.3806378, 8.5274506, 47.3806378 https://cmr.earthdata.nasa.gov/search/concepts/C2789815300-ENVIDAT.umm_json "Included are three direct numerical simulations results of Stokes flow in three heterogeneous porous media obtained with OpenFoam simulations. In addition we include three data files that contain point-based extracted pores based on the post-processing as reported in the submitted paper ""Local hydraulic resistance in heterogeneous porous media"" in GRL." proprietary hydro-ch2018-evolution-of-stream-and-lake-water-temperature-under-climate-change_1.0 Hydro-CH2018 Evolution of stream and lake water temperature under climate change ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815311-ENVIDAT.umm_json This report presents past observations and projects the future development of water temperature in Swiss lakes and rivers. Projections are made until the end of the 21st century using the CH2018 climate scenarios. Besides climate change effects on temperature, we also discuss effects on discharge for rivers, and effects on the thermal structure, and specifically the seasonal mixing regime and ice cover of lakes. proprietary @@ -14109,6 +12339,7 @@ icecore_borehole_orientation_1970s_1 Glaciology borehole orientations for ice co icecube_microct_snow_grainsize_1.0 IceCube_microCT_Snow_grainsize ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -38.4592, 46.8123672, 9.8472047, 72.5796 https://cmr.earthdata.nasa.gov/search/concepts/C2789815197-ENVIDAT.umm_json The specific surface area (SSA) of different snow types were measured with the IceCube instrument and the Scanco Medical microCT 40. In addition, the snow particles created during the preparation of IceCube samples were counted. The difference in SSA between these instruments is explained by the formation of the surface particles. A numerical simulation using TARTES simulation support the observations. proprietary ikonos_Not provided IKONOS-2 USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567858-USGS_LTA.umm_json Since its launch in September 1999, GeoEye's IKONOS satellite has provided a reliable stream of image data since January 2000, which has become the standard for commercial high-resolution satellite data products. With an altitude of 681 km and a revisit time of approximately 3 days, IKONOS produces one-meter panchromatic and four-meter multispectral imagery that can be combined to accommodate a wide range of high-resolution imagery applications. proprietary illgraben-debris-flow-characteristics-2019-2022_1.0 Illgraben debris-flow characteristics 2019-2022 ENVIDAT STAC Catalog 2023-01-01 2023-01-01 7.5961876, 46.2675443, 7.6363564, 46.310011 https://cmr.earthdata.nasa.gov/search/concepts/C3226082518-ENVIDAT.umm_json List of key debris flow variables from the WSL Illgraben monitoring station (2019-2022) such as occurrence date and time, peak flow depth, peak flow velocity, total volume and bulk density. This table contains values based on our current analysis methods. The list will be updated annually after each debris flow season, and as our methods continue to improve, individual values may change slightly in the future. proprietary +imergcpex_1 Integrated Multi-satellitE Retrievals for GPM (IMERG) CPEX V1 GHRC_DAAC STAC Catalog 2017-05-24 2017-07-16 -99.95, 5.05, -45.05, 39.95 https://cmr.earthdata.nasa.gov/search/concepts/C2647820404-GHRC_DAAC.umm_json The Integrated Multi-satellitE Retrievals for GPM (IMERG) CPEX dataset includes measurements gathered by IMERG during the Convective Processes Experiment (CPEX) field campaign. IMERG combines precipitation estimates from multiple passive microwave (PMW) sensors available in a 30-minute analysis time. These estimates are retrieved using the Goddard Profiling (GPROF) algorithm that converts PMW brightness temperatures to a precipitation estimate. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. IMERG combines information from the GPM satellite constellation to estimate precipitation over the majority of the Earth's surface. Data are available from May 24, 2017 through July 16, 2017 in netCDF-3 format. proprietary imis-measuring-network_1.0 IMIS measuring network ENVIDAT STAC Catalog 2023-01-01 2023-01-01 6.120228, 45.971755, 10.449316, 47.170837 https://cmr.earthdata.nasa.gov/search/concepts/C3226082559-ENVIDAT.umm_json The Intercantonal Measurement and Information System (IMIS) consists of nearly 200 automatic measuring stations. They are distributed throughout the Swiss Alps and the Jura region and, in most cases, are situated above the tree line, most frequently between 2000 and 3000 m. The stations record the conditions around the clock, in general every 30 minutes. Most IMIS stations are located in the vicinity of starting zones of potentially destructive avalanches, and provide essential information to local safety officers for public safety in settlements and on the roads. They are also used for snow-hydrological and research purposes and by the avalanche warning service of the SLF. This dataset comprises data from IMIS snow and wind stations. The snow and wind stations are usually situated close to each other and measure the key weather data required for assessing the avalanche danger. ## IMIS snow stations Snow stations are located on wind-protected flat terrain. The snowpack model SNOWPACK calculates the layers and properties of the snowpack throughout the winter for each of the IMIS snow stations. The following variables are measured or simulated in the standard programme of IMIS snow stations and are available in this dataset: - Snow depth - 24-hour new snow (SNOWPACK simulation) - Air and surface temperature - Wind speed and direction - Relative humidity - Reflected shortwave radiation - Ground temperature - Snow temperature 25 cm, 50 cm and 100 cm above the ground ## IMIS wind stations Wind stations are generally situated at higher altitudes on exposed summits or ridges. The following variables are measured in the standard programme of IMIS wind stations and are available in this dataset: - Wind speed and direction - Air temperature - Relative humidity __When using the data, please consider and adhere to the associated [Terms of Use](https://www.slf.ch/en/services-and-products/slf-data-service/)__. __To download live data use our [API](https://measurement-api.slf.ch)__. __To download data older than 7 days use our [File Download](https://measurement-data.slf.ch)__. proprietary impact-des-extremes-sur-les-scieries_1.0 Impact des événements météorologiques extrêmes sur l'économie forestière suisse: le point de vue des scieries ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815270-ENVIDAT.umm_json "Extreme events impact on the Swiss forest economy: the sawmill perspective Supplementary Information This survey aimed at answering three main questions: (i) What are the Swiss sawmills challenges and actions taken after a large storm/windthrow?, (ii) How do these challenges and actions vary across sawmill size and location?, and (iii) is adaptation from the sawmills to extreme events possible, with regards to wood type, products and required infrastructure? Informations supplémentaires Cette enquête visait à répondre à trois questions principales : (i) Quels sont les défis et les mesures prises par les scieries suisses après une grosse tempête ou un coup de vent ? (ii) Comment ces défis et ces mesures varient-ils selon la taille et l'emplacement de la scierie ? et (iii) l'adaptation des scieries aux événements extrêmes est-elle possible, en ce qui concerne le type de bois, les produits et l'infrastructure requise ? Ziel dieser Umfrage war die Beantwortung von drei Hauptfragen: (i) Welche s sind die Herausforderungen und Massnahmen der Schweizer Sägewerke nach einem grossen Sturm/Windwurf?, (ii) Wie unterscheiden sich diese Herausforderungen und Massnahmen je nach Grösse und Standort des Sägewerks? und (iii) Ist eine Anpassung der Sägewerke an Extremereignisse möglich, in Bezug auf Holzart, Produkte und erforderliche Infrastruktur?" proprietary impact-of-non-native-tree-species-in-europe-on-soil-properties-and-biodiversity_1.0 Impact of non-native tree species in Europe on soil properties and biodiversity: a review ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -10.7226562, 31.8028926, 45.8789063, 67.1358294 https://cmr.earthdata.nasa.gov/search/concepts/C3226082578-ENVIDAT.umm_json Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows. proprietary @@ -14122,28 +12353,58 @@ induced-rockfall-dataset-chant-sura_1.0 Induced Rockfall Dataset #2 (Chant Sura inishell-2-0-4_2.0.4 Inishell-2.0.4 ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815121-ENVIDAT.umm_json This is the source code of the Inishell-2.0.4 flexible Graphical User Interface. It is configured through an XML file for applications that themselves need to be configured via ini-files. It allows to set constraints regarding the sections, keys and values that may be present in the ini-files that are produced by the end user. It is released under the GPL-v3 or later license. Precompiled binaries are available at https://models.slf.ch/p/inishell-ng/downloads/ while the development takes place at https://code.wsl.ch/snow-models/inishell (gitlab forge). proprietary input-data-for-break-point-detection-of-swiss-snow-depth-time-series_1.0 Input data for break point detection of Swiss snow depth time series ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815138-ENVIDAT.umm_json Data set consists of monthly mean values for snow depth and days with snow on the ground intended for the use of break detection with ACMANT, Climatol and HOMER. List and coordinates of stations used as well as metadata and break detection results from all three methods is included. ## Columns Monthly means for each hydrological year: Nov, Dec, Jan, Feb, Mar, Apr with May to Oct set to zero proprietary input-data-for-impact-assessment-of-homogenised-snow-series_1.0 Input data for impact assessment of homogenised snow series ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082287-ENVIDAT.umm_json # Input data for the following research article: Impact assessment of homogenised snow depth series on trends The data consists of separate output files from the following homogenisation methods: * Climatol * HOMER * interpQM The variable is seasonal mean snow depth (HSavg) plot.data is an additional data frame containing trends of HSavg (station, method, value, pvalue, altitude) proprietary -insects_subsaharanAfrica_Not provided A Checklist of the Insects of Subsaharan Africa SCIOPS STAC Catalog 2000-01-01 13.68, -35.9, 33.98, -21.27 https://cmr.earthdata.nasa.gov/search/concepts/C1214611706-SCIOPS.umm_json "One of the most basic needs for inventorying, exploiting and monitoring the changes in the insect diversity of Africa is a complete list of species which are already know to occur in Africa. Surprisingly, such a basic list does not exist, despite some 250 years of formal scientific description of life on earth. The International Centre of Insect Physiology and Ecology (ICIPE), along with the National Museum of Natural History, is therefore sponsoring the production of the list, which will provide a reliable platform of 'standard' names for species on which many other projects depend. This list, or authority file, will greatly enhance communication both among scientists and between scientists and users of scientific data. The African list will also be a major contribution toward the proposed list of world species (e.g. the Global Biodiversity Information Facility (GBIF) and Species 2000 initiative of DIVERSITAS). A demonstration database is provided for the species of the orders Odonata (dragonflies and damselflies), Ephemeroptera (mayflies), Plecoptera (stoneflies), Megaloptera (alderflies), Hemiptera-Heteroptera (true bugs), Homoptera (cicadas, leafhoppers, planthoppers, scales, and others), and Trichoptera (caddisflies). Invitation to collaboration: Compilation of the checklist is being coordinated by Nearctica (formerly Entomological Information Specialists), because of their experience with Nomina Insecta Nearctica. We are attempting to collaborate with known specialists as contributors and reviewers, but we welcome additional suggestions of collaborators. Inquires can be directed to Scott Miller (miller.scott@nmnh.si.edu). Information was obtained from ""http://entomology.si.edu/""." proprietary intercomparison-of-photogrammetric-platforms_1.0 Photogrammetric snow depth maps from satellite-, airplane-, UAS and terrestrial platforms from the Davos region (Switzerland) ENVIDAT STAC Catalog 2020-01-01 2020-01-01 9.7544861, 46.6485877, 10.0428772, 46.844319 https://cmr.earthdata.nasa.gov/search/concepts/C2789815195-ENVIDAT.umm_json "This data set contains the produced snow depth maps as well as the reference data set (manual and snow pole measurements) from our paper ""Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping"". __Abstract.__ Snow depth has traditionally been estimated based on point measurements collected either manually or at automated weather stations. Point measurements, though, do not represent the high spatial variability of snow depths present in alpine terrain. Photogrammetric mapping techniques have progressed in recent years and are capable of accurately mapping snow depth in a spatially continuous manner, over larger areas, and at various spatial resolutions. However, the strengths and weaknesses associated with specific platforms and photogrammetric techniques, as well as the accuracy of the photogrammetric performance on snow surfaces have not yet been sufficiently investigated. Therefore, industry-standard photogrammetric platforms, including high-resolution satellites (Pléiades), airplane (Ultracam Eagle M3), Unmanned Aerial System (eBee+ with S.O.D.A. camera) and terrestrial (single lens reflex camera, Canon EOS 750D), were tested for snow depth mapping in the alpine Dischma valley (Switzerland) in spring 2018. Imagery was acquired with airborne and space-borne platforms over the entire valley, while Unmanned Aerial Systems (UAS) and terrestrial photogrammetric imagery was acquired over a subset of the valley. For independent validation of the photogrammetric products, snow depth was measured by probing, as well as using remote observations of fixed snow poles. When comparing snow depth maps with manual and snow pole measurements the root mean square error (RMSE) values and the normalized median deviation (NMAD) values were 0.52 m and 0.47 m respectively for the satellite snow depth map, 0.17 m and 0.17 m for the airplane snow depth map, 0.16 m and 0.11 m for the UAS snow depth map. The area covered by the terrestrial snow depth map only intersected with 4 manual measurements and did not generate statistically relevant measurements. When using the UAS snow depth map as a reference surface, the RMSE and NMAD values were 0.44 m and 0.38 m for the satellite snow depth map, 0.12 m and 0.11 m for the airplane snow depth map, 0.21 and 0.19 m for the terrestrial snow depth map. When compared to the airplane dataset over a large part of the Dischma valley (40 km2), the snow depth map from the satellite yielded a RMSE value of 0.92 m and a NMAD value of 0.65 m. This study provides comparative measurements between photogrammetric platforms to evaluate their specific advantages and disadvantages for operational, spatially continuous snow depth mapping in alpine terrain over both small and large geographic areas." proprietary interview-guide-and-transcripts_1.0 Interview guide and transcripts (CONCUR Aim 2 on Governance) ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815227-ENVIDAT.umm_json This dataset is composed of an interview guide used to conduct 43 in-depth, qualitative, and in-person interviews with planning experts, academics and practitioners, in 14 European urban regions and the corresponding interview transcripts (verbatim). These interviews were conducted in the selected urban regions between March and September 2016. They were first digitally recorded and later thoroughly transcribed. proprietary intratrait_1.0 intratrait ENVIDAT STAC Catalog 2022-01-01 2022-01-01 6.02, -46.64, 178.52, 53.46 https://cmr.earthdata.nasa.gov/search/concepts/C3226082491-ENVIDAT.umm_json This data set was used to test whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries (Switzerland, Australia, New Zealand, China) in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species’ height ratio, its height relative to its nearest neighbour. The following traits and parameters were measured and are available in this data set: As an indication of plant stature, we measured vegetative and generative height, where vegetative height was distance from soil to highest vegetative leaf and generative height was distance to the highest point on the reproductive shoot. As a measure of reproductive investment, we noted the presence of flowers on the randomly chosen individuals (see below). As a measure of individual and genet basal area, we measured individual plant and patch diameters, in two dimensions (along the largest diameter and perpendicular to it). In clonal plant species, plant diameter was equivalent to an individual rosette, whereas patch diameter referred to the whole genet and could represent the size of a tuft, tussock or cushion. For genera with more singular growth forms (e.g., some Gentiana species) plant and patch diameter were the same. The two diameter measurements were made at right angles, allowing estimates of patch and plant areas to be calculated as an ellipse (i.e., area = 0.5 a 0.5 b Π). All traits were measured on ten randomly selected individuals per site. Flower count data was considered in a binary fashion on a per individual basis (because for some species individuals only produce one flower when flowering) so that the presence or absence of flower(s) was a nominal value between 0 and 10 for each species at each site. We then collected at least three leaves (up to 30 for small and light leaves) from each of the first three individuals selected from each species for determination of leaf dry matter content (LDMC) and specific leaf area (SLA). For calculations of LDMC and SLA, fresh leaves were scanned on a flatbed scanner to determine leaf area. Leaves were then weighed on a balance to a precision of +/- 0.001g, prior to being air dried and reweighed with a balance to a precision of +/- 0.0001g. LDMC was calculated by dividing dry leaf mass by fresh leaf mass. SLA was calculated by dividing leaf area by dry leaf mass. Additionally, within an area of 10 cm diameter around the target individual, we determined the tallest neighbouring species and measured its vegetative and generative height, and estimated the percent cover of the target species, other vegetation, rock, and bare soil. For more details see Rixen et al. 2022, Journal of Ecology. proprietary inventaire-forestier-national-suisse-2009-2017_1.0 Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017 ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815279-ENVIDAT.umm_json Swiss National Forest Inventory. Results of the fourth survey 2009–2017. The collection of data for the fourth National Forest Inventory (NFI) was carried out from 2009 to 2017, on average eight years after the third survey. The findings about state and development of Swiss forests are described and explained in detail. The report is structured according to the European criteria and indicators for sustainable forest management, namely: forest resources, health and vitality, wood production, biological diversity, protection forest and social economy. Finally, conclusions about sustainability are drawn based on the NFI findings. Keywords: forest area, growing stock, increment, yield, forest structure, forest condition, timber production, biodiversity, protection forest, recreation, sustainability, results National Forest Inventory, Switzerland Inventaire forestier national suisse. Résultats du quatrième inventaire 2009-2017. Les relevés du quatrième inventaire forestier national suisse (IFN) ont eu lieu entre 2009 et 2017, en moyenne huit ans après le troisième inventaire. Les résultats sur l’état et l’évolution de la forêt suisse sont présentés et expliqués en détail. Le rapport est structuré thématiquement selon les critères et indicateurs européens pour la gestion durable des forêts : ressources forestières, santé et vitalité, production de bois, diversité biologique, forêt protectrice et socio-économie. L’ouvrage s’achève par un bilan de la durabilité basé sur les résultats de l’IFN. Mots-clés : surface forestière, volume de bois, accroissement, exploitation, structure de la forêt, état de la forêt, production de bois, biodiversité, forêt protectrice, récréation, durabilité, résultats de l’inventaire forestier national, Suisse Content license: All rights reserved. Copyright © 2020 by WSL, Birmensdorf. proprietary islscp2_soils_1deg_1004_1 ISLSCP II Global Gridded Soil Characteristics ORNL_CLOUD STAC Catalog 1995-01-01 1996-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785271209-ORNL_CLOUD.umm_json This data set provides gridded data for selected soil parameters derived from data and methods developed by the Global Soil Data Task, an international collaborative project with the objective of making accurate and appropriate data relating to soil properties accessible to the global change research community. The task was coordinated by the International Geosphere-Biosphere Programme (IGBP-DIS). The data in this data set were produced by the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) staff from data obtained from the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov/). See the related data sets section below. Two-dimensional gridded maps of selected soil parameters, including soil texture, at a 1.0 by 1.0 degree spatial resolution and for two soil depths are provided. All data layers have been adjusted to match the ISLSCP II land/water mask. There are 36 data files with this data set. proprietary isotope-lab_1.0 Stable Isotope Research Lab WSL ENVIDAT STAC Catalog 2019-01-01 2019-01-01 8.45634, 47.360992, 8.45634, 47.360992 https://cmr.earthdata.nasa.gov/search/concepts/C2789815291-ENVIDAT.umm_json "![alt text](https://www.envidat.ch/dataset/6480bbef-06bf-4da8-8502-96f4def23358/resource/0a9d712c-38ad-4f55-842e-36b21a7e1b97/download/isotopelab_wsl.jpg ""Isotope Laboratory WSL"") The lab uses stable isotope ratios of the light elements hydrogen, carbon, nitrogen and oxygen as a universal tool for studying physical, chemical and biological processes in forests and other ecosystems. Due to natural isotope fractionations, environmental changes leave unique fingerprints in organic matter, like tree-rings. It is, therefore, possible to detect the influence of ongoing climate changes on plant physiology. By applying isotopically labelled substrate, matter fluxes through plants and soil can be traced and better understood. The facility has isotope-Ratio mass-spectrometers and dedicated periphery for the analysis of organic matter, gas samples and water samples. With HPLC and GC we apply compound-specific isotope ratio analysis of sugars and organic acids. Additional isotope mass-spectrometers are operated by the Zentrallabor WSL." proprietary +isslis_v2_fin_2 Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data V2 GHRC_DAAC STAC Catalog 2017-03-01 2023-11-16 -180, -55, 180, 55 https://cmr.earthdata.nasa.gov/search/concepts/C2303212754-GHRC_DAAC.umm_json The Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data dataset was collected by the LIS instrument mounted on the ISS and are used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions. This dataset consists of quality controlled science data. This data collection can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. The data are available in both HDF-4 and netCDF-4 formats, with corresponding browse images in GIF format. proprietary +isslisg_v2_fin_2 Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Backgrounds V2 GHRC_DAAC STAC Catalog 2017-03-01 2023-11-16 -180, -55, 180, 55 https://cmr.earthdata.nasa.gov/search/concepts/C2303219035-GHRC_DAAC.umm_json The Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Backgrounds dataset was collected by the LIS instrument mounted on the ISS and are used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions. This dataset consists of quality controlled science data. This data collection can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. The data are available in both HDF-4 and netCDF-4 formats. proprietary jetty_sat_1 Jetty Peninsula Satellite Image Map 1:500 000 AU_AADC STAC Catalog 1991-09-01 1991-09-30 65, -72, 73, -70 https://cmr.earthdata.nasa.gov/search/concepts/C1214313527-AU_AADC.umm_json Satellite image map of Jetty Peninsula, Mac. Robertson Land, Antarctica. This map is part (d) of a series of four north Prince Charles Mountains maps. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1991. The map is at a scale of 1:500000, and was produced from Landsat TM and Landsat MSS scenes. It is projected on a Lambert Conformal Conic projection, and shows traverses/routes/foot tracks, glaciers/ice shelves, and stations/bases. The map has only geographical co-ordinates. proprietary jfetzer-phosphatase-leaching_1.0 Phosphatase leaching ENVIDAT STAC Catalog 2020-01-01 2020-01-01 7.8588858, 49.9488636, 13.7036124, 53.3024328 https://cmr.earthdata.nasa.gov/search/concepts/C2789815303-ENVIDAT.umm_json Data on phosphomonoesterase activity in forest topsoil leachates and soil extracts as well as P forms in the leachate. Leachate samples were taken in Feb./Mar. and July 2019 with zero-tension lysimeters at two sites in Germany of contrasting phosphorus availability from the litter, the Oe/Oa, and the A horizon in beech forest. Soil samples were taken in July 2019. For methods see publication. proprietary jornada_albedo_667_1 PROVE Surface albedo of Jornada Experimental Range, New Mexico, 1997 ORNL_CLOUD STAC Catalog 1997-05-22 1997-05-27 -106.75, 32.5, -106.75, 32.5 https://cmr.earthdata.nasa.gov/search/concepts/C2804796522-ORNL_CLOUD.umm_json The objective of this study was to determine the spatial variations in field measurements of broadband albedo as related to the ground cover and under a range of solar conditions during the Prototype Validation Exercise (PROVE) at the Jornada Experimental Range in New Mexico on May 20-30, 1997. proprietary jornada_canopy_brf_668_1 PROVE Vegetation Reflectance of Jornada Experimental Range, New Mexico, 1997 ORNL_CLOUD STAC Catalog 1997-05-23 1997-05-28 -106.75, 32.5, -106.75, 32.5 https://cmr.earthdata.nasa.gov/search/concepts/C2804797176-ORNL_CLOUD.umm_json Directional reflected radiation was measured over plots representing selected canopy components (shrubs and individual plants, bare sand, and background) at the Jornada Experiment Range site near Las Cruces, New Mexico, during the Prototype Validation Experiment (PROVE) in May 1997. proprietary jornada_landcover_lai_665_1 PROVE Land Cover and Leaf Area of Jornada Experimental Range, New Mexico, 1997 ORNL_CLOUD STAC Catalog 1997-05-13 1997-05-31 -106.75, 32.5, -106.75, 32.5 https://cmr.earthdata.nasa.gov/search/concepts/C2804794793-ORNL_CLOUD.umm_json Field measurement of shrubland ecological properties is important for both site monitoring and validation of remote-sensing information. During the PROVE exercise on May 20-30, 1997, we calculated plot-level plant area index, leaf area index, total fractional cover, and green fractional cover. proprietary jornada_mquals_666_1 PROVE MQUALS Reflectance at Jornada Experimental Range, New Mexico, 1997 ORNL_CLOUD STAC Catalog 1997-05-23 1997-05-25 -106.75, 32.5, -106.75, 32.5 https://cmr.earthdata.nasa.gov/search/concepts/C2804795305-ORNL_CLOUD.umm_json This study utilized low flying, aircraft-based radiometers for optical characterization of top-of-the-canopy reflectance at Jornada Experimental Range in New Mexico during the Prototype Validation Experiment (PROVE) in May 1997. The objective was to examine the usefulness of low-flying aircraft for Moderate Resolution Imaging Spectroradiometer (MODIS) validation of land products. proprietary -joughin_0631973_Not provided Airborne Radar-Derived Accumulation Rates over Pine Island and Thwaites Glaciers SCIOPS STAC Catalog 1980-01-01 2009-12-31 -124.8, -80.8, -86.7, -73.9 https://cmr.earthdata.nasa.gov/search/concepts/C1214600138-SCIOPS.umm_json "This data set includes radar-derived annual accumulation rates over Thwaites Glacier between 1980 and 2009 and a gridded climatology (1985-2009) of snow accumulation over Pine Island and Thwaites Glaciers. The snow radar data were collected between 2009 and 2011 as part of NASA's Operation IceBridge Mission and are available at the NSIDC under ""IceBridge Snow Radar L1B Geolocated Radar Echo Strength Profiles""." proprietary +kakqimpacts_1 KAKQ NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -82.1814, 32.8531, -71.8333, 41.115 https://cmr.earthdata.nasa.gov/search/concepts/C1995580744-GHRC_DAAC.umm_json The KAKQ NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary kalahari_aot_h2o_vapor_719_1 SAFARI 2000 AOT and Column Water Vapor, Kalahari Transect, Wet Season 2000 ORNL_CLOUD STAC Catalog 2000-03-03 2000-03-18 21.72, -24.17, 25.5, -18.65 https://cmr.earthdata.nasa.gov/search/concepts/C2788397022-ORNL_CLOUD.umm_json The data presented here include the aerosol optical thickness (AOT) and column water vapor measurements taken at sites along the Kalahari Transect using a Microtops sunphotometer. Data were collected every 30 minutes at 4 sites that were visited during the SAFARI 2000 Kalahari Wet Season Campaign between March 3, 2000, and March 18, 2000. AOT values are provided at 340-, 440-, 675-, 870-, and 936-nm wavelengths. An estimate of the Angstrom Coefficient is also provided to allow the estimation of AOT at other wavelengths. The purpose of this data collection was primarily for documentation of the conditions at each site and to aid in the correction of remote sensing data, for validation of Earth Observation System (EOS) products such as MODIS and MISR aerosol products, and for modeling of canopy productivity. proprietary kalahari_co2_heat_flux_765_1 SAFARI 2000 Kalahari Transect CO2, Water Vapor, and Heat Flux, Wet Season 2000 ORNL_CLOUD STAC Catalog 2000-03-01 2000-03-19 21.71, -24.16, 23.59, -15.44 https://cmr.earthdata.nasa.gov/search/concepts/C2789074715-ORNL_CLOUD.umm_json Short-term measurements of carbon dioxide, water, and energy fluxes were collected at four locations along a mean annual precipitation gradient in southern Africa during the SAFARI 2000 wet (growing) season campaign of 2000. The purpose of this research was to determine how observed vegetation-atmosphere exchange properties are functionally related to long-term climatic conditions. proprietary +kbgmimpacts_1 KBGM NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -81.5637, 38.0698, -70.4058, 46.3296 https://cmr.earthdata.nasa.gov/search/concepts/C1976723062-GHRC_DAAC.umm_json The KBGM NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kboximpacts_1 KBOX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -76.6945, 37.8256, -65.5792, 46.086 https://cmr.earthdata.nasa.gov/search/concepts/C1995581487-GHRC_DAAC.umm_json The KBOX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kbufimpacts_1 KBUF NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -84.3844, 38.8183, -73.0894, 47.0794 https://cmr.earthdata.nasa.gov/search/concepts/C1995581917-GHRC_DAAC.umm_json The KBUF NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kccximpacts_1 KCCX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -83.4731, 36.7933, -72.5346, 45.053 https://cmr.earthdata.nasa.gov/search/concepts/C1995582220-GHRC_DAAC.umm_json The KCCX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kcleimpacts_1 KCLE NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -87.3705, 37.2833, -76.3492, 45.5434 https://cmr.earthdata.nasa.gov/search/concepts/C2020894988-GHRC_DAAC.umm_json The KCLE NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kcxximpacts_1 KCXX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -78.9629, 40.3809, -67.3702, 48.6411 https://cmr.earthdata.nasa.gov/search/concepts/C2020895772-GHRC_DAAC.umm_json The KCXX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kdiximpacts_1 KDIX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -79.81, 35.8109, -69.0103, 44.0825 https://cmr.earthdata.nasa.gov/search/concepts/C2020896896-GHRC_DAAC.umm_json The KDIX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kdoximpacts_1 KDOX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -80.7442, 34.6956, -70.136, 42.9556 https://cmr.earthdata.nasa.gov/search/concepts/C2020897888-GHRC_DAAC.umm_json The KDOX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kdtximpacts_1 KDTX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -89.0956, 38.5699, -77.8477, 46.8301 https://cmr.earthdata.nasa.gov/search/concepts/C2020898934-GHRC_DAAC.umm_json The KDTX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kdvnimpacts_1 KDVN NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -96.109, 37.482, -85.053, 45.742 https://cmr.earthdata.nasa.gov/search/concepts/C2025219690-GHRC_DAAC.umm_json The KDVN NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kenximpacts_1 KENX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -79.677, 38.457, -68.451, 46.716 https://cmr.earthdata.nasa.gov/search/concepts/C2025220226-GHRC_DAAC.umm_json The KENX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary kerg_ant_bathy_1 Bathymetric Grid for the region 60E to 90E, 48S to 70S AU_AADC STAC Catalog 1985-01-01 2007-05-01 60, -70, 90, -48.45 https://cmr.earthdata.nasa.gov/search/concepts/C1214311162-AU_AADC.umm_json This dataset is a bathymetric grid of the region 60E to 90E and 48.45S to 70S, created in a geographic coordinate system based on a WGS84 horizontal datum. The grid has a cell size of 0.005 degrees. Most of the work involved creating a bathymetric grid of the region 60E to 90E and 55S to 70S which was generated from the latest available multibeam swath bathymetry, fisheries' surveys and satellite altimetry data. A report outlining the development of this grid is available for download (see the related url below). This grid was then merged with the bathymetric grid described by the metadata record 'Bathymetric Grid of Heard Island - Kerguelen Plateau Region (2005)', which covers the region 68E to 80E and 48S to 56S. Hence the final grid has two 'No data' areas between 48.45S to 55S: 60E to 68E and 80E to 90E. The final grid is available for download as a geotiff and ArcInfo ascii file and contours derived from the grid are available for download as a shapefile (see the related urls below). proprietary +kfcximpacts_1 KFCX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -85.449, 32.895, -75.099, 41.154 https://cmr.earthdata.nasa.gov/search/concepts/C2025222404-GHRC_DAAC.umm_json The KFCX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kgrbimpacts_1 KGRB NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -93.906, 40.369, -82.316, 48.629 https://cmr.earthdata.nasa.gov/search/concepts/C2025222762-GHRC_DAAC.umm_json The KGRB NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kgrrimpacts_1 KGRR NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -91.187, 38.764, -79.903, 47.024 https://cmr.earthdata.nasa.gov/search/concepts/C2025223549-GHRC_DAAC.umm_json The KGRR NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kgyximpacts_1 KGYX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -75.9914, 39.7616, -64.5211, 48.021 https://cmr.earthdata.nasa.gov/search/concepts/C2030430631-GHRC_DAAC.umm_json The KGYX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kilnimpacts_1 KILN NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -89.1706, 35.2906, -78.4723, 43.5504 https://cmr.earthdata.nasa.gov/search/concepts/C2030432039-GHRC_DAAC.umm_json The KILN NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kilximpacts_1 KILX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -94.7433, 36.0206, -83.9303, 44.2804 https://cmr.earthdata.nasa.gov/search/concepts/C2030434636-GHRC_DAAC.umm_json The KILX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kindimpacts_1 KIND NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -91.6517, 35.5776, -80.9086, 43.8414 https://cmr.earthdata.nasa.gov/search/concepts/C2030436692-GHRC_DAAC.umm_json The KIND NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary kinetic-experiments-on-the-oxidation-of-bromide-by-ozone-from-289-245-k_1.0 Kinetic experiments on the oxidation of bromide by ozone from 289-245 K. ENVIDAT STAC Catalog 2019-01-01 2019-01-01 8.2040405, 47.5223016, 8.2610321, 47.5371377 https://cmr.earthdata.nasa.gov/search/concepts/C2789815314-ENVIDAT.umm_json The reaction of ozone with bromide in polar regions results in the formation of reactive bromide species with impacts on ozone budget and the oxidative capacity of the lower atmosphere. Here, we present a data investigating the temperature dependence of bromide oxidation by ozone using a coated wall flow tube reactor coated with an aqueous mixture of citric acid and sodium bromide, a proxy for sea salt aerosol in snow or the free troposphere. Thus study shows the effect of of organic species at relatively mild temperatures between the freezing point and eutectic temperature as typical for Earth's cryosphere. proprietary +kiwximpacts_1 KIWX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -91.2062, 37.2284, -80.1938, 45.4887 https://cmr.earthdata.nasa.gov/search/concepts/C2030440758-GHRC_DAAC.umm_json The KIWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kjklimpacts_1 KJKL NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -88.527, 33.461, -78.099, 41.721 https://cmr.earthdata.nasa.gov/search/concepts/C2012922051-GHRC_DAAC.umm_json The KJKL NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +klotimpacts_1 KLOT NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -93.612, 37.474, -82.557, 45.735 https://cmr.earthdata.nasa.gov/search/concepts/C2012927437-GHRC_DAAC.umm_json The KLOT NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +klwximpacts_1 KLWX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -82.803, 34.846, -72.172, 43.106 https://cmr.earthdata.nasa.gov/search/concepts/C2012931540-GHRC_DAAC.umm_json The KLWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kmhximpacts_1 KMHX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -81.907, 30.646, -71.846, 38.906 https://cmr.earthdata.nasa.gov/search/concepts/C2012947380-GHRC_DAAC.umm_json The KMHX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kmkximpacts_1 KMKX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -94.199, 38.838, -82.902, 47.098 https://cmr.earthdata.nasa.gov/search/concepts/C2012934799-GHRC_DAAC.umm_json The KMKX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary knp_fire_maps_756_1 SAFARI 2000 Historical Fire Maps, Kruger National Park, 1992-2001 ORNL_CLOUD STAC Catalog 1992-05-11 2001-03-31 30.89, -25.53, 32.03, -22.33 https://cmr.earthdata.nasa.gov/search/concepts/C2789033440-ORNL_CLOUD.umm_json Kruger National Park (KNP) was established in 1898 to protect wildlife on nearly 2 million hectares of the South African Lowveld. Savanna fires are common in the South African Lowveld during the dry season. The two primary sources of fire ignition, historically and currently, are human activity and lightning. This data set contains a record of all fires observed in the Kruger National Park for each of the 10 fire years from 1992 to 2001. The data were compiled from various sources, including old fire records in hardcopy and vector form, as well as satellite imagery. proprietary knp_fire_residue_751_1 SAFARI 2000 Reflectance of Fire Residue, Kruger National Park, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-14 2000-08-14 21.83, -25.75, 22.33, -24.16 https://cmr.earthdata.nasa.gov/search/concepts/C2789022996-ORNL_CLOUD.umm_json The goal of this study was to understand the change in reflectance caused by the action of fire and the heterogeneity of fire effects (i.e., the fraction of the observation that burned and the combustion completeness of that observation). A spectral mixture model and field and satellite observations were used to compare changes in Landsat reflectance associated with fire and combustion completeness derived from field measurements at prescribed fire sites in South Africa and to substantiate and illustrate the model findings. The data are stored in a single ASCII file in comma-separate-value format (.csv). proprietary knp_met_761_1 SAFARI 2000 Meteorological Tower Measurements, Kruger National Park, 2000-2002 ORNL_CLOUD STAC Catalog 2000-02-15 2002-12-31 31.5, -25.02, 31.5, -25.02 https://cmr.earthdata.nasa.gov/search/concepts/C2789041646-ORNL_CLOUD.umm_json An eddy covariance system mounted on a tower near the Skukuza Camp in Kruger National Park, South Africa, has been operating continuously since early 2000. Meteorological measurements started in February 2000, and the first flux measurements were made in April 2000. The site is unique in that the micrometeorological instruments are positioned on a tower located between two distinct savanna types, a broad-leafed Combretum savanna and a fine-leafed Acacia savanna. Measurements on the main eddy covariance tower include net ecosystem exchange of CO2, water, and energy, and measurements of a range of meteorological variables with 30-minute averaging period. proprietary +kokximpacts_1 KOKX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -78.3285, 36.7356, -67.3994, 44.9961 https://cmr.earthdata.nasa.gov/search/concepts/C2020260938-GHRC_DAAC.umm_json The KOKX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kpbzimpacts_1 KPBZ NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -85.6552, 36.4018, -74.7808, 44.6616 https://cmr.earthdata.nasa.gov/search/concepts/C2020261956-GHRC_DAAC.umm_json The KPBZ NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kraximpacts_1 KRAX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -83.577, 31.5343, -73.4025, 39.7968 https://cmr.earthdata.nasa.gov/search/concepts/C2020262679-GHRC_DAAC.umm_json The KRAX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary krill_risk_maps_1 Code, data and results used to fit growth rates of Antarctic krill under experimental CO2 manipulation AU_AADC STAC Catalog 2009-01-01 2012-12-31 -180, -80, 180, -40 https://cmr.earthdata.nasa.gov/search/concepts/C1214313529-AU_AADC.umm_json The embryonic development of Antarctic krill (Euphausia superba) is sensitive to elevated seawater CO2 levels. This data set provides the experimental data and WinBUGS code used to estimate hatch rates under experimental CO2 manipulation, as described by Kawaguchi et al. (2013). Kawaguchi S, Ishida A, King R, Raymond B, Waller N, Constable A, Nicol S, Wakita M, Ishimatsu A (2013) Risk maps for Antarctic krill under projected Southern Ocean acidification. Nature Climate Change (in press) Circumpolar pCO2 projection. To estimate oceanic pCO2 under the future CO2 elevated condition, we computed oceanic pCO2 using a three-dimensional ocean carbon cycle model developed for the Ocean Carbon-Cycle Model Intercomparison Project (2,3) and the projected atmospheric CO2 concentrations. The model used, referred to as the Institute for Global Change Research model in the Ocean Carbon-Cycle Model Intercomparison Project, was developed on the basis of that used in ref. 4 for the study of vertical fluxes of particulate organic matter and calcite. It is an offline carbon cycle model using physical variables such as advection and diffusion that are given by the general circulation model. The model was forced by the following four atmospheric CO2 emission scenarios and their extensions to year 2300. RCP8.5: high emission without any specific climate mitigation target; RCP6.0: medium-high emission; RCP 4.5: medium-low emission; and RCP 3.0-PD: low emission (1). Simulated perturbations in dissolved inorganic carbon relative to 1994 (the Global Ocean Data Analysis Project (GLODAP) reference year) were added to the modern dissolved inorganic carbon data in the GLODAP dataset (5). To estimate oceanic pCO2, temperature and salinity from the World Ocean Atlas data set (6) and alkalinity from the GLODAP data set were assumed to be constant. Marine ecosystems of the Southern Ocean are particularly vulnerable to ocean acidification. Antarctic krill (Euphausia superba; hereafter krill) is the key pelagic species of the region and its largest fishery resource. There is therefore concern about the combined effects of climate change, ocean acidification and an expanding fishery on krill and ultimately, their dependent predators—whales, seals and penguins. However, little is known about the sensitivity of krill to ocean acidification. Juvenile and adult krill are already exposed to variable seawater carbonate chemistry because they occupy a range of habitats and migrate both vertically and horizontally on a daily and seasonal basis. Moreover, krill eggs sink from the surface to hatch at 700–1,000m, where the carbon dioxide partial pressure (pCO2 ) in sea water is already greater than it is in the atmosphere. Krill eggs sink passively and so cannot avoid these conditions. Here we describe the sensitivity of krill egg hatch rates to increased CO2, and present a circumpolar risk map of krill hatching success under projected pCO2 levels. We find that important krill habitats of the Weddell Sea and the Haakon VII Sea to the east are likely to become high-risk areas for krill recruitment within a century. Furthermore, unless CO2 emissions are mitigated, the Southern Ocean krill population could collapse by 2300 with dire consequences for the entire ecosystem. The risk_maps folder contains the modelled risk maps for each of the climate change scenarios (i.e. Figure 4 in the main paper, and Figure S2 in the supplementary information). These are in ESRI gridded ASCII format, on a longitude-latitude grid with 1-degree resolution. Refs: 1. Meinshausen, M. et al. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change 109, 213-241 (2011). 2. Orr, J. C. et al. Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms. Nature 437, 681-686 (2005). 3. Cao, L. et al. The role of ocean transport in the uptake of anthropogenic CO2. Biogeosciences 6, 375-390 (2009). 4. Yamanaka, Y. and Tajika, E. The role of the vertical fluxes of particulate organic matter and calcite in the oceanic carbon cycle: Studies using an ocean biogeochemical general circulation model. Glob. Biogeochem. Cycles 10, 361-382 (1996). 5. Key, R. M. et al. A global ocean carbon climatology: Results from Global Data Analysis Project (GLODAP). Glob. Biogeochem. Cycles 18, GB4031 (2004). 6. Conkright, M. E. et al. World Ocean Atlas 2001: Objective Analyses, Data Statistics, and Figures CD-ROM Documentation (National Oceanographic Data Center, 2002). proprietary +krlximpacts_1 KRLX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -86.9891, 34.1811, -76.4563, 42.4412 https://cmr.earthdata.nasa.gov/search/concepts/C2020263812-GHRC_DAAC.umm_json The KRLX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kscmill_1 KSC ADVANCED GROUND BASED FIELD MILL V1 GHRC_DAAC STAC Catalog 1997-08-01 2012-11-22 -80.99, 28, -80, 28.99 https://cmr.earthdata.nasa.gov/search/concepts/C1979872892-GHRC_DAAC.umm_json The Advanced Ground Based Field Mill (AGBFM) network consists of 34 (31 operational) field mills located at Kennedy Space Center (KSC), Florida. The field mills measure the electrostatic vertical field. This system can measure electrostatic fields in the range of 4 V/m to 32 kV/m at 10 Hz resolution (digitized at 50 Hz). Individual lightning events can be detected within approximately 50 nautical miles of KSC proper. proprietary kt_canopy_structure_768_1 SAFARI 2000 Canopy Structural Measurements, Kalahari Transect, Wet Season 2001 ORNL_CLOUD STAC Catalog 2001-02-28 2001-03-08 21.83, -25.75, 22.33, -24.16 https://cmr.earthdata.nasa.gov/search/concepts/C2789077526-ORNL_CLOUD.umm_json This data set contains leaf area index (LAI), leaf inclination angle, and canopy dimension data from study sites along the Kalahari Transect in southwest Botswana. The data were collected during the 2001 wet season field campaign of the SAFARI 2000 at a total of seven plots of 200 x 150 meter dimensions: two plots each at Tshane and Mabuasehube and three plots at Tsabong. The data set consists of measurements of leaf angle for plot dominant woody species, LAI calculated from overstory and understory photosynthetically active radiation (PAR) measurements, and canopy dimension data (i.e., crown height, crown width, and height to crown) for grass and woody vegetation for use in the parameterization of plant canopy reflectance models. The data files are stored as ASCII table files, in comma-separated-value (.csv) format, with column headers. Photographs (.jpg) are provided of each plot to provide an idea of site conditions. The photographs can be viewed on the S2K Photo Gallery pages. proprietary kt_gps_photos_769_1 SAFARI 2000 Landscape Photographs of Kalahari Transect, Mongu, Skukuza Sites ORNL_CLOUD STAC Catalog 2000-03-01 2000-09-11 21.7, -25.02, 31.48, -15.42 https://cmr.earthdata.nasa.gov/search/concepts/C2789080946-ORNL_CLOUD.umm_json This data set contains Global Positioning System (GPS) imprinted landscape photographs at 100-m intervals along the Large Grid Transects at Kalahari Transect sites in Botswana and at measurement sites in Kataba Forest, Mongu, Zambia, and in the vicinity of the Skukuza flux tower site in Kruger National Park, South Africa. The Kalahari sites visited were Pandamatenga, Maun, Okwa Valley, and Tshane. There are about 30 pictures per site. In a related study, vegetation cover and composition were measured at various locations along the Kalahari Transect and trends in major vegetative cover, including species types and richness, were recorded (Ringrose and Matheson, 2004). The photographs are intended to aid in the interpretation of other data sets, and can be used to suggest canopy height, gap fraction, grass, soil, and sky conditions. The photographs are provided as JPEG images. proprietary kt_lai_770_1 SAFARI 2000 LAI Measurements at Kalahari Transect Sites, Wet Season 2000 ORNL_CLOUD STAC Catalog 2000-03-04 2000-03-16 21.71, -24.13, 25.49, -18.66 https://cmr.earthdata.nasa.gov/search/concepts/C2789085993-ORNL_CLOUD.umm_json The Boston University team collected several data sets along the Kalahari Transect during the SAFARI 2000 wet season field campaign from March 3rd to March 18th, 2000, to support the validation of the MODIS LAI/FPAR algorithm. Ground measurements of LAI, FPAR, leaf hemispherical reflectance, leaf hemispherical transmittance, and canopy transmittance were made using a LAI-2000 plant canopy analyzer, an AccuPAR ceptometer, a LiCor 1800-12S External Integrating Sphere (LI-1800) portable spectroradiometer, and an ASD handheld spectroradiometer. LAI data are provided in this data set. LAI was intensively measured at 4 different sites in Botswana -- Pandamatenga, Maun, Okwa River, and Tshane (from north to south) -- where vegetation types range from moist closed woodlands to arid sparsely-shrub-covered grasslands. proprietary @@ -14155,6 +12416,8 @@ kt_par_794_1 SAFARI 2000 PAR Measurements, Kalahari Transect, Botswana, Wet Seas kt_stem_map_775_1 SAFARI 2000 Stem and Canopy Characterization, Kalahari Transect, 1995-2000 ORNL_CLOUD STAC Catalog 1995-02-01 2000-03-16 19.17, -27.75, 25.5, -14.42 https://cmr.earthdata.nasa.gov/search/concepts/C2789098245-ORNL_CLOUD.umm_json This data set provides species distribution, basal area, height, and crown cover of woody stems at 10 sites along the Kalahari Transect where a large gradient in both the mean and variation of annual rainfall results in dramatic changes in vegetation structure. Some of the data were collected during earlier Kalahari Transect projects in 1995 and 1997 at Vastrap, South Africa; Sandveld and Sachinga, Namibia; and Maziba, Senanga, and Lukulu, Zambia. The rest of the data were collected at Mongu, Zambia; and Pandamatenga, Maun, and Tshane, Botswana during the February-March 2000 wet season field campaign of SAFARI 2000. Stem maps were generated at each site using a variable-width belt-transect approach. Tree location, species, diameter, height, and major and minor axis of crown dimensions were measured for each individual taller than 1.5 meters. For multi-stemmed individuals, the diameter of each stem was recorded separately. Canopy area was calculated to be an ellipse defined by the two major axes of measurement. Canopy height was estimated using a clinometer. Biomass was calculated following Goodman (1990) as modified by Dowty (1999).There are two ASCII data files, in comma-delimited format. The stem map file contains records of living, dead, and cut stem allometry, canopy geometry, and biomass at the SAFARI sites. The species list file provides plant family, genus, and species names, numerical codes that correspond to the stem map file, and species common names in English and AFRICAANS. proprietary kt_veg_inventory_776_1 SAFARI 2000 Vegetation Cover Characteristics, Kalahari Transect, Wet Season 2000 ORNL_CLOUD STAC Catalog 2000-03-03 2000-03-14 21.71, -24.13, 25.49, -18.66 https://cmr.earthdata.nasa.gov/search/concepts/C2789099661-ORNL_CLOUD.umm_json Vegetation cover and composition, including species types and richness assessments, were measured at four locations along the Kalahari Transect in Botswana (Pandamatenga, Maun, Okwa River, and Tshane) during the SAFARI 2000 wet season field campaign. The sites visited showed interesting degrees of variability despite the apparent homogeneity of the Kalahari sands and predominantly semi-arid savanna shrub-woodlands vegetation cover (Ringrose et al., 2003).At each site, twelve individual locations were chosen by random stratified techniques within a 30-km radius at each location, based on differences in topography, soils, and known disturbance, to help determine local variability (Huennecke et al., 2001). Data collection methods were identical at each location (Ringrose et al., 1996; 1998): (1) identification and enumeration of all species along 3 x 90-m transects, spaced 45-m apart; (2) visual estimation (tape measure and pacing) of canopy diameter along each transect; and (3) visual estimation of percent live and dead herbaceous cover, litter, and bare soil using 3 x 50 m2 quadrats spaced at 30-m intervals along each transect. In addition, vegetation components were calculated for each site comprising woody vegetation cover, green herbaceous cover in terms of grass and forbs, dead herbaceous cover, plant litter, and bare soil. Species richness was calculated as the actual number of species per three transects (270 m2) at each site (Kent and Coker, 1996).The data set consists of two data files (ASCII tables) in comma-delimited format (.csv) with descriptive header records. proprietary kt_woody_veg_777_1 SAFARI 2000 Woody Vegetation Characteristics of Kalahari and Skukuza Sites ORNL_CLOUD STAC Catalog 2000-02-29 2000-06-25 21.71, -31.5, 25.5, -15.44 https://cmr.earthdata.nasa.gov/search/concepts/C2789101524-ORNL_CLOUD.umm_json This data set contains species composition, basal area, height, and crown cover of all woody plants at six sites along the Kalahari Transect visited in February-March of 2000 as part of SAFARI 2000. Similar measurements on woody and herbaceous vegetation at the Skukuza Flux Tower site in Kruger National Park, South Africa, were made in June of 2000. Leaf area index was derived from measurements made using PAR sensors at each site.Sampling protocol was the same at each site, with a slight variation at Skukuza. A grid of 42 points, 6 rows of 7 columns, each 50 m apart, was laid down in an area 300 m x 350 m for the Kalahari Transect sites. At Skukuza, the grid was 7x7, or 350 m x 350 m, centered on the tower site, yielding 49 points. At each grid point, all woody plants within a circular plot of a fixed radius were identified and measured. Stem circumference was measured on all stems and basal area per stem was derived. Basal area for the circular plots, per species, was calculated and extrapolated to hectares. Tree and stem densities were determined from the number of trees and stems in subplots and extrapolated to hectares. Woody plant height and canopy cover were determined, and aboveground woody biomass and peak leaf area index were estimated. The files are in comma-delimited ASCII format, with the first line listing the data set, author, and date, followed by the data records. proprietary +ktyximpacts_1 KTYX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -81.4022, 39.6256, -69.9573, 47.8857 https://cmr.earthdata.nasa.gov/search/concepts/C2020264637-GHRC_DAAC.umm_json The KTYX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +kvwximpacts_1 KVWX NEXRAD IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-03-01 -92.9872, 34.1302, -82.4619, 42.3903 https://cmr.earthdata.nasa.gov/search/concepts/C2020265507-GHRC_DAAC.umm_json The KVWX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. These Level II datasets contain meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary l-band-davos-laret_1.0 L-Band Radiometry of Alpine Seasonal Snow Cover: 4 Years at the Davos-Laret Remote Sensing Field Laboratory ENVIDAT STAC Catalog 2022-01-01 2022-01-01 9.8748744, 46.8475483, 9.8748744, 46.8475483 https://cmr.earthdata.nasa.gov/search/concepts/C2789815292-ENVIDAT.umm_json "Dataset from the publication ""L-Band Radiometry of Alpine Seasonal Snow Cover: 4 Years at the Davos-Laret Remote Sensing Field Laboratory"", under review in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. volume and issue TBD. Dataset specifics are described in the publication." proprietary labchemistrymetamorphism_1.0 Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.2224941, 47.5363844, 8.2224941, 47.5363844 https://cmr.earthdata.nasa.gov/search/concepts/C2789815065-ENVIDAT.umm_json Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions. proprietary labes_1.0 LABES 2 Indicators of the Swiss Landscape Monitoring Program ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082114-ENVIDAT.umm_json The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception. This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES. proprietary @@ -14219,6 +12482,7 @@ lba_ghcn_702_1 LBA Regional Global Historical Climatology Network, V. 1, 1832-19 lba_gisswetlands_688_1 LBA Regional Wetlands Data Set, 1-Degree (Matthews and Fung) ORNL_CLOUD STAC Catalog 1971-01-01 1982-01-01 -85, -25, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2804820458-ORNL_CLOUD.umm_json This data set is a subset of a global database compiled by Matthews and Fung (1987) on the distribution and environmental characteristics of natural wetlands. The global database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. proprietary lba_isric_wise_701_1 LBA Regional Derived Soil Properties, 0.5-Deg (ISRIC-WISE) ORNL_CLOUD STAC Catalog 1950-01-01 1995-12-31 -85, -25, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2777329835-ORNL_CLOUD.umm_json The data set consists of a subset of the ISRIC-WISE global data set of derived soil properties for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 to 30 degrees W, latitude 25 degrees S to 10 degrees N). More information about LBA and links to other LBA project sites can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html. proprietary lba_tree_cover-1km_686_1 LBA Regional Tree Cover from AVHRR, 1-km, 1992-1993 (DeFries et al.) ORNL_CLOUD STAC Catalog 1992-01-01 1993-12-31 -85, -25, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C2804819697-ORNL_CLOUD.umm_json This data set is a subset of the 1-km global tree cover data set (DeFries et al. 1999) developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data are in ASCII GRID format. proprietary +ldarraw_1 LIGHTNING DETECTION AND RANGING (LDAR) RAW DATA V1 GHRC_DAAC STAC Catalog 1997-02-28 2008-06-11 -83, 26, -78, 31 https://cmr.earthdata.nasa.gov/search/concepts/C1979878937-GHRC_DAAC.umm_json Lightning Detection and Ranging (LDAR) Raw data consists of level 1 lightning data collected from February 25, 1997 through June 11, 2008. The LDR system is located at the Kennedy Space Center. The center latitude and longitude of the LDAR network is 28.5387 and -80.6428. All x, y, and z values represent distance (in meters) from this location. LDAR is a volumetric lightning mapping system providing near real-time location of lightning in support of Space Shuttle operations. These data are in ASCII format. proprietary leaf_voc_emissions_763_1 SAFARI 2000 Leaf-Level VOC Emissions, Maun, Botswana, Wet Season 2001 ORNL_CLOUD STAC Catalog 2001-02-03 2001-02-16 23.55, -19.9, 23.55, -19.9 https://cmr.earthdata.nasa.gov/search/concepts/C2789045395-ORNL_CLOUD.umm_json Biogenic volatile organic compounds (VOCs) comprise a significant proportion of trace gases in the atmospheric environment and play an important role in the formation of secondary air pollutants. Emissions of monoterpenes from vegetation were studied at adjacent sites in Botswana as part of the SAFARI 2000 (Southern African Regional Science Initiative). Using a LI-COR leaf cuvette, VOC emissions were measured from the dominant tree species (Colophospermum mopane) and other vegetation near Maun, Botswana. proprietary leafchem_421_1 Leaf Chemistry, 1992-1993 (ACCP) ORNL_CLOUD STAC Catalog 1992-06-18 1993-05-27 -121.76, 29.7, -68.74, 45.22 https://cmr.earthdata.nasa.gov/search/concepts/C2776830164-ORNL_CLOUD.umm_json Carbon and nitrogen concentrations of fresh forest foliage were determined. Results were used to calibrate Visible/NIR reflectance for estimation of canopy carbon and nitrogen. proprietary leafspec_424_1 Visible and Near-Infrared Leaf Reflectance Spectra, 1992-1993 (ACCP) ORNL_CLOUD STAC Catalog 1992-06-18 1993-05-27 -122.05, 37.4, -68.74, 45.22 https://cmr.earthdata.nasa.gov/search/concepts/C2776851335-ORNL_CLOUD.umm_json Visible/NIR reflectance spectra data for both fresh and dry leaf samples were collected to determine the relationship of foliar chemical concentrations with reflectance. proprietary @@ -14236,8 +12500,26 @@ lidar_6 Lidar Studies of Atmospheric Structure, Dynamics and Climatology AU_AADC lidar_forest_myotis-myotis_1.0 LiDAR metrics predict suitable forest foraging areas of endangered Mouse-eared bats (Myotis myotis) ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815310-ENVIDAT.umm_json Habitat shift caused by human impact on vegetation structure poses a great threat to species which are special- ized on unique habitats. Single layered beech forests, the main foraging habitat of Greater Mouse-eared Bats (My- otis myotis), are threatened by recent changes in forest structure. After this species suffered considerable popula- tion losses until the 1970s, their roosts in buildings are strictly protected. However, some populations are still de- clining. Thus, the spatial identification of suitable foraging habitat would be essential to ensure conservation pol- icy. The aim of this study was (a) to verify the relevance of forest structural variables for the activity of M. myotis and (b) to evaluate the potential of LiDAR (Light Detection and Ranging) in predicting suitable foraging habitat of the species. We systematically sampled bat activity in forests close to 18 maternity roosts in Switzerland and applied a generalized linear mixed model (GLMM) to fit the activity data to forest structure variables recorded in the field and derived from LiDAR. We found that suitable forest foraging habitat is defined by single layered for- est, dense canopy, no shrub layer and a free flight space. Most importantly, this key foraging habitat can be well predicted by airborne LiDAR data. This allows for the first time to create nationwide prediction maps of potential foraging habitats of this species to inform conservation management. This method has a special significance for endangered species with large spatial use, whose key resources are hard to identify and widely distributed across the landscape. proprietary lima_Not provided Landsat Image Mosaic of Antarctica (LIMA) USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567805-USGS_LTA.umm_json A team of scientists from the U.S. Geological Survey, the British Antarctic Survey, and the National Aeronautics and Space Administration, with funding from the National Science Foundation, created LIMA in support of the International Polar Year (IPY; 2007–08). proprietary linked-discharge-bedload-transport-and-bedrock-erosion-data-set_1.0 Linked water discharge, bedload transport and bedrock erosion data set in 1minute resolution ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.70875, 47.0449764, 8.70875, 47.0449764 https://cmr.earthdata.nasa.gov/search/concepts/C2789815360-ENVIDAT.umm_json This data set includes synchronized and independently measured water discharge, bedload transport and at-a-point bedrock erosion data in 1 minute resolution and over more than 1.5 years from the Erlenbach stream hydrological observatory, a small (first-order) catchment in the pre-alpine valley Alptal in central Switzerland. These measurements are of high accuracy, which have been assessed in Beer, A.R. et al. 2015. Earth Surf. Proc., 40, 530-541. doi: 10.1002/esp.3652. For the artificial bedrock (a slab of weak concrete, fixed flush with the streambed) 6 additional consecutive spatial elevation data sets of 1 mm resolution have been surveyed that allow the local continuous erosion measurements to be extended to the patch scale. This unique data set has been used to validate and calibrate bedrock erosion models for the process to intermediate scales of time (and space), whose performance then was assessed over extended time (up to bicentennial floods), based on available longer data sets of linked discharge and bedload transport (see related datasets). proprietary +lipimpacts_2 Lightning Instrument Package (LIP) IMPACTS V2 GHRC_DAAC STAC Catalog 2020-01-15 2022-02-28 -118.28, 31.07, -64.89, 47.7 https://cmr.earthdata.nasa.gov/search/concepts/C2008982738-GHRC_DAAC.umm_json The Lightning Instrument Package (LIP) IMPACTS dataset consists of electrical field measurements of lightning and navigation data collected by the Lightning Instrument Package (LIP) flown onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast (2020-2023). IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The V2 LIP IMPACTS data have been further filtered to remove field mill offsets that were identified in the prior V1 data. These data are available from January 15 through February 28, 2022 in ASCII format. proprietary +lislipG_4 Lightning Imaging Sensor (LIS) on TRMM Backgrounds V4 GHRC_DAAC STAC Catalog 1998-01-01 2015-04-08 -180, -40, 180, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1995583255-GHRC_DAAC.umm_json The Lightning Imaging Sensor (LIS) Backgrounds was collected by the LIS instrument on the Tropical Rainfall Measuring Mission (TRMM) satellite used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions. This data can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. These data are available in both HDF-4 and netCDF-4 formats. proprietary +lislip_4 Lightning Imaging Sensor (LIS) on TRMM Science Data V4 GHRC_DAAC STAC Catalog 1998-01-01 2015-04-08 -180, -40, 180, 40 https://cmr.earthdata.nasa.gov/search/concepts/C1983762329-GHRC_DAAC.umm_json The Lightning Imaging Sensor (LIS) Science Data was collected by the LIS instrument on the Tropical Rainfall Measuring Mission (TRMM) satellite used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions. This data can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. These data are available in both HDF-4 and netCDF-4 formats, with corresponding browse images in GIF format. proprietary +lisvhrac_1 LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING ANNUAL CLIMATOLOGY (VHRAC) V1 GHRC_DAAC STAC Catalog 1998-01-01 2013-12-31 -180, -38, 180, 38 https://cmr.earthdata.nasa.gov/search/concepts/C1979882997-GHRC_DAAC.umm_json The LIS 0.1 Degree Very High Resolution Gridded Lightning Annual Climatology (VHRAC) dataset consists of gridded annual climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust. proprietary +lisvhrdc_1 LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING DIURNAL CLIMATOLOGY (VHRDC) V1 GHRC_DAAC STAC Catalog 1998-01-01 2013-12-31 -180, -38, 180, 38 https://cmr.earthdata.nasa.gov/search/concepts/C1979883116-GHRC_DAAC.umm_json The LIS 0.1 Degree Very High Resolution Gridded Lightning Diurnal Climatology (VHRDC) dataset consists of gridded diurnal climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust. proprietary +lisvhrfc_1 LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING FULL CLIMATOLOGY (VHRFC) V1 GHRC_DAAC STAC Catalog 1998-01-01 2013-12-31 -180, -38, 180, 38 https://cmr.earthdata.nasa.gov/search/concepts/C1979883245-GHRC_DAAC.umm_json The LIS 0.1 Degree Very High Resolution Gridded Lightning Full Climatology (VHRFC) dataset consists of gridded full climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust. proprietary +lisvhrmc_1 LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING MONTHLY CLIMATOLOGY (VHRMC) V1 GHRC_DAAC STAC Catalog 1998-01-01 2013-12-31 -180, -38, 180, 38 https://cmr.earthdata.nasa.gov/search/concepts/C1979883359-GHRC_DAAC.umm_json The LIS 0.1 Degree Very High Resolution Gridded Lightning Monthly Climatology (VHRMC) dataset consists of gridded monthly climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust. proprietary +lisvhrsc_1 LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING SEASONAL CLIMATOLOGY (VHRSC) V1 GHRC_DAAC STAC Catalog 1998-01-01 2013-12-31 -180, -38, 180, 38 https://cmr.earthdata.nasa.gov/search/concepts/C1979883491-GHRC_DAAC.umm_json The LIS 0.1 Degree Very High Resolution Gridded Lightning Seasonal Climatology (VHRSC) dataset consists of gridded seasonal climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust. proprietary literature-data-of-sound-speed-in-snow_1.0 Literature data of sound speed in snow ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815412-ENVIDAT.umm_json This dataset contains literature data for snow density and frequency dependency of speed of sound waves in snow. The data were either available as tabular data in the original publications or were digitized from plots contained in the original publications. The data were originally collected and used for first figure in Capelli et al. (2016) . proprietary litter_decomp_651_1 Effects of Elevated Carbon Dioxide on Litter Chemistry and Decomposition ORNL_CLOUD STAC Catalog 1993-01-01 2000-11-21 -180, -47.31, 179.41, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2761762163-ORNL_CLOUD.umm_json The results of published and unpublished experiments investigating the impacts of elevated carbon dioxide on the chemistry (nitrogen and lignin concentration) of leaf litter and the decomposition of plant tissues are assembled in a format appropriate for statistical meta-analysis of the effect of carbon dioxide. proprietary +lohrac_2.3.2015 LIS/OTD 0.5 Degree High Resolution Annual Climatology (HRAC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -179.75, -89.75, 179.75, 89.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863067-GHRC_DAAC.umm_json The LIS/OTD 0.5 Degree High Resolution Annual Climatology (HRAC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRAC dataset includes annual flash rate climatology data on a 0.5 degree grid in HDF and netCDF-4 format. proprietary +lohrfc_2.3.2015 LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -179.75, -89.75, 179.75, 89.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863244-GHRC_DAAC.umm_json The LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite.The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRFC dataset include flash rate climatology data including raw and scaled flash on a 0.5 degree grid in HDF and netCDF-4 format. proprietary +lohrmc_2.3.2015 LIS/OTD 0.5 Degree High Resolution Monthly Climatology (HRMC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -179.75, -89.75, 179.75, 89.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863290-GHRC_DAAC.umm_json The LIS/OTD 0.5 Degree High Resolution Monthly Climatology (HRMC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The HRMC dataset include monthly flash rate climatology and flash rate seasonal climatology data on a 0.5 degree grid in HDF and netCDF-4 format. proprietary +lolrac_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Annual Climatology (LRAC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863391-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Annual Climatology (LRAC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRAC dataset include annual flash rate climatology data including raw and scaled flashes on a 2.5 degree grid in HDF and netCDF-4 format. proprietary +lolracts_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Annual Climatology Time Series (LRACTS) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2015-04-08 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863430-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Annual Climatology Time Series (LRACTS) consists of gridded climatologies of total lightning flash rates seen by the spaceborne Optical Transient Detector (OTD) and Lightning Imaging Sensor (LIS). The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRACTS dataset include annual flash rate time series data in MP4 format. proprietary +lolradc_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Annual Diurnal Climatology (LRADC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863553-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Annual Dirunal Climatology (LRADC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRADC dataset include flash rate climatology data including scaled flash counts on a 2.5 degree grid in HDF and netCDF-4 format. proprietary +lolrdc_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Diurnal Climatology (LRDC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995863733-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Diurnal Climatology (LRDC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRDC dataset include diurnal flash rate climatology data including raw and scaled flashes on a 2.5 degree grid in HDF and netCDF-4 format. proprietary +lolrfc_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Full Climatology (LRFC) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2014-12-31 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995864215-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Full Climatology (LRFC) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRFC dataset include flash rate climatology data including raw and scaled flashes on a 2.5 degree grid in HDF and netCDF-4 format. proprietary +lolrmts_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2015-04-08 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995865015-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Monthly Climatology Time Series (LRMTS) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRMTS dataset include monthly flash rate time series data in MP4 format. proprietary +lolrts_2.3.2015 LIS/OTD 2.5 Degree Low Resolution Time Series (LRTS) V2.3.2015 GHRC_DAAC STAC Catalog 1995-05-04 2015-04-08 -178.75, -88.75, 178.75, 88.75 https://cmr.earthdata.nasa.gov/search/concepts/C1995865470-GHRC_DAAC.umm_json The LIS/OTD 2.5 Degree Low Resolution Time Series (LRTS) contains a variety of gridded climatologies of total lightning flash rates obtained from two lightning detection sensors - the spaceborne Optical Transient Detector (OTD) on Orbview-1 and the Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The long LIS (equatorward of about 38 degree) record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The LRTS dataset include flash rate time series data in MP4 format. proprietary long-term-recovery-of-above-and-belowground-interactions-in-restored-grasslands_1.0 Long-term recovery of above-and belowground interactions in restored grasslands ENVIDAT STAC Catalog 2021-01-01 2021-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815634-ENVIDAT.umm_json This dataset contains all data, on which the following publication below is based. __Paper Citation:__ _Resch, M.C., Schütz, M., Ochoa-Hueso, R., Buchmann, N., Frey, B., Graf, U., van der Putten, W.H., Zimmermann, S., Risch, A.C. (in review). Long-term recovery of above- and belowground interactions in restored grassland after topsoil removal and seed addition. Journal of Applied Ecology_ __Please cite this paper together with the citation for the datafile.__ Study area and experimental design The study was conducted in and around two nature reserves, Eigental and Altläufe der Glatt, which were located approximately 5 km apart (47°27´ to 47°29´ N, 8°37´ to 8°32´ E, 417 to 572 m a.s.l., Canton of Zurich, Switzerland; Figure S1 and S2, Table S1). Mean annual temperature and precipitation are 9.8 ± 0.6 °C and 990 ± 168 mm (Kloten climate station 1988-2018; MeteoSchweiz, 2019). TFor this study, we used a space-for-time approach based on eight restoration sites that were between 3 and 32 years old. We measured recovery and restoration success by comparing the restored grasslands with intensively managed and semi-natural grasslands. Using a space-for-time approach requires high similarities in historical properties of the site, such as soil conditions and management regimes, to assure that temporal processes are appropriately represented by spatial patterns (Walker et al., 2010). This was the case in our study. The restored sites had similar soil conditions (i.e., soil type, structure, water availability) as the targeted semi-natural grasslands, while they shared the same agricultural legacy with intensively managed grasslands, i.e., biomass harvest and fertilization (manure and/or slurry) three to five times a year as well as tillage. We randomly established three 5 m x 5 m (25-m2) plots for plant identification and three 2 m x 2 m (4-m2) subplots for soil biotic and abiotic data collection at least 2 m away from the 25-m2 plots in each restoration site. Sites of similar age were grouped into four age classes: Y.4 (3 & 4 years after restoration), Y.18 (17 & 19 years), Y.24 (23 & 25 years), and Y.30 (27 & 32 years). Six intensively managed (Initial) and six semi-natural grassland (Target) sites complemented the experimental set-up, for a total of 36 plots. All plots were sampled under similar conditions, i.e., day of the year, air temperature, soil moisture, and time since last rain event, in June/July 2017 (intensively managed and semi-natural plots) and 2018 (restored plots). Collection of plants and selected soil biota data Plant species cover (in %) was visually estimated in each 25-m2 plot in mid-June (Braun-Blanquet, 1964; nomenclature: Lauber & Wagner, 1996). We calculated Shannon diversity and assessed plant community structure. We included soil microbial (fungi, procaryotes) and nematodes in our study as they represent the majority of soil biotic diversity and abundance (Bardgett & van der Putten, 2014), cover various trophic levels of the soil food web (Bongers & Ferris, 1999), and play key roles in soil functioning and ecosystem processes (Bardgett & van der Putten, 2014). In particular, soil nematodes were found to be well suited belowground indicators to evaluate recovery/development after restoration (e.g. Frouz, et al. 2008; Kardol et al., 2009; Resch et al., 2019). We randomly collected ten soil cores (2.2 cm diameter x 12 cm depths; sampler from Giddings Machine Company, Windsor, USA) in the 4-m2 subplots to assess soil nematode and microbial (fungal, prokaryotic) diversities and community structures. For soil nematodes, eight of the soil cores were combined and gently homogenized, placed in coolers and stored at 4 °C and transported to the laboratory (Netherlands Institute of Ecology, NIOO, Wageningen, Netherlands) within three days after collection. Free-living nematodes were extracted from 200 g of fresh soil using Oostenbrink elutriators (Oostenbrink, 1960). After extraction, each sample was divided into three subsamples, two for molecular identification and one to determine nematode abundance (see Resch et al., 2019). For the molecular work, two subsamples were stored in 70% ethanol (final volume 10 mL each) and transported to the laboratory at the Swiss Federal Research Institute WSL (Birmensdorf, Switzerland). Each subsample was reduced to roughly 200 μL by centrifugation and removal of the supernatant. The remaining ethanol was vaporized (65 °C for 3 h). Thereafter, 180 μL ATL buffer solution (Qiagen, Hilden, Germany) was immediately added and samples were stored at 4 °C until further processing. From these samples, nematode metagenomic DNA was extracted using the DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) according to the manufacturer`s protocol, except for the incubation step which was run at 56 °C for 4 h. PCR amplification of the V6-V8 region of the eukaryotic small-subunit (18S) was performed with 7.5 μL of genomic DNA template (ca. 1 ng/μL) in 25 μL reactions containing 5 μL PCR reaction buffer, 2.5 mM MgCL2, 0.2 mM dNTPs, 0.8 μM of each primer (NemF: Sapkota & Nicolaisen, 2015; 18Sr2b: Porazinska et al., 2009), 0.5 μL BSA, and 0.25 μL GoTaq G2 Hot Start Polymerase (Promega Corporation, Madison, USA). Amplification was using an initial DNA denaturation step of 95 °C for 2 min, followed by 35 cycles at 94 °C for 40 sec, 58 °C for 40 sec, 72 °C for 1 min, and a final elongation step at 72 °C for 10 min. Filtering, dereplication, sample inference, chimera identification, and merging of paired-end reads was implemented using the DADA2 pipeline (v.1.12; Callahan et al., 2016) to finally assign amplicon sequence variants (ASVs) as taxonomic units. We combined and homogenized the remaining two soil cores to assess soil microbes, placed them in coolers (4 °C) and transported them to the laboratory at WSL. Metagenomic DNA was extracted from 8 g sieved soil (2 mm) using the DNAeasy PowerMax Soil Kit (Qiagen, Hilden, Germany) according to the manufacturer´s protocol. PCR amplification of the V3-V4 region of the small-subunit (16S) of prokaryotes (i.e., bacteria and archaea) and the ribosomal internal transcribed spacer region (ITS2) of fungi was performed with 1 ng of template DNA using PCR primers and conditions as previously described (Frey et al., 2016). PCRs were run in triplicates, pooled and sent to the Genome Quebec Innovation Centre (Montreal, QC, Canada) for barcoding using the Fluidigm Access Array technology (Fluidigm) and paired-end sequencing on the Illumina MiSeq v3 platform (Illumina Inc., San Diego, USA). Quality filtering, clustering into operational taxonomic units (OTUs, 97% similarity cutoffs) and taxonomic assignment were performed as previously described (Resch et al., 2021).Taxonomic classification of nematode, prokaryotic and fungal sequences was conducted querying against the most recent versions of PR2 (v.4.11.1; Guillou et al., 2013), SILVA (v.132; Quast et al., 2013), and UNITE (v.8; Nilsson et al., 2019) reference sequence databases. Taxonomic assignment cutoffs were set to confidence rankings ≥ 0.8 (below ranked as unclassified). Prokaryotic OTUs assigned to mitochondria or chloroplasts as well as OTUs or ASVs assigned to other than Fungi or Nematoda were manually removed prior to data analysis. The three datasets were filtered to discard singletons and doubletons. Taxonomic abundance matrices were rarefied to the lowest number of sequences per community to achieve parity of the total number of reads between samples (Prokaryotes: 10,929 reads; Fungi: 18,337 reads; Nematodes: 6,662 reads). We calculated Shannon diversity and assessed community structures for soil nematodes, prokaryotes and fungi based on their relative abundances of ASV or OTU at the taxon level. Collection of soil physical and chemical properties We randomly collected one undisturbed soil core (5 cm diameter, 12 cm depth) per 4-m2 subplot using a steel cylinder that fit into the soil corer. The cylinders were capped to avoid disturbance during transport and used to measure field capacity, rock content and fine earth density as previously described (Resch et al., 2021). We randomly collected another three soil cores (5 cm diameter, 12 cm depths) in each 4-m2 subplot to determine soil chemical properties. The cores were pooled, dried at 60 °C for 48 h and passed through a 2 mm sieve. We measured soil pH (CaCl2) on dried samples, total nitrogen (N) and organic carbon (C) concentration on dried and fine-ground samples (≤ 0.5 mm; for details see Resch et al., 2021). We calculated total N and organic C pools after correcting its concentration for soil depth, rock content and fine earth density. proprietary long_tryne_bathy_1 Interpolated bathymetry of Long and Tryne Fjords, Vestfold Hills, Antarctica AU_AADC STAC Catalog 2000-07-01 2000-11-15 78, -68.5833, 78.5833, -68.4 https://cmr.earthdata.nasa.gov/search/concepts/C1214311181-AU_AADC.umm_json This GIS dataset is the result of the interpolation of bathymetry from depth measurements made in Long and Tryne Fjords in the Vestfold Hills, Antarctica (see Entry: VH_bathy_99). The Topogrid command within the ArcInfo GIS software, version 8.0.2, was used to do the interpolation. Coastline and spot height (heights above sea level) data, extracted from the Australian Antarctic Data Centre's Vestfold Hills topographic GIS dataset (see Entry: vest_hills_gis), was also used as input data to optimise the interpolation close to the coastline. See related URLs for a map showing the interpolated bathymetry. proprietary longterm-hydrological-observatory-alptal-central-switzerland_2.0 Longterm hydrological observatory Alptal (central Switzerland) ENVIDAT STAC Catalog 2018-01-01 2018-01-01 8.7052166, 47.0466744, 8.7052166, 47.0466744 https://cmr.earthdata.nasa.gov/search/concepts/C2789815465-ENVIDAT.umm_json This data set includes 54 years of hydrometeorological measurements from small (first-order) catchments in the pre-alpine valley Alptal. Here we provide daily mean values; values in sub-daily resolution can be provided on demand. Runoff has been measured at the outlet of three small (first-order) catchments of approximately 1 km2 area: Erlenbach (two independent runoff measurements), Vogelbach and Lümpenenbach. The catchments are similar with regard to geology (Flysch) and soil conditions (clay soils), but differ in forest coverage (20 to 60%). A detailed description of the catchments can be found at https://www.wsl.ch/alptal . Runoff in these small catchments is typically very dynamic and can temporally carry large amounts of sediment and large wood. Thus, the accuracy of the measurements at very large flow is limited. Meteorological variables have been measured on a meadow (Erlenhöhe) located in the Erlenbach catchment at 1220 m a.s.l. using a standard meteorological station (incl. ventilated air temperature and heated rain gauges). In addition, precipitation has also been recorded at two other locations (in the Vogelbach and Lümpenenbach catchments). Snow measurements have been conducted weekly to monthly since 1968 at more than 15 locations (30-m transects) representing different altitudes, aspects and land uses (meadow, forest). In addition, snow depth has been recorded continuously since 2003 at Erlenhöhe, and for this location we also include a simulation of snow depth and SWE (using the numerical models COUP and DeltaSnow) that assimilates the manual weekly snow-course measurements. Details on these snow measurements can be found in Stähli, M. and Gustafsson, D. 2006. Hydrol. Proc., 20, 411-428. doi: 10.1002/hyp.6058. Further information on the methods and sensors can be found at https://www.wsl.ch/alptal . A first version of this data set (for the period 1968-2017) was uploaded in June 2018 at the occasion of the 50-year anniversary. This original data set was updated in February 2021 (with data from 2018 and 2019), and this data set was used for a longterm trend analysis, submitted for publication in a special issue of Hydrological Processes. A second update of the data set (with data from 2020 to 2022) was uploaded in March 2023. proprietary @@ -14315,6 +12597,7 @@ marine-fish-occurrences-of-tropical-america_1.0 marine fish occurrences of Tropi marine_mammal_obs_1 Marine Mammal Observations by Greenpeace AU_AADC STAC Catalog 1998-12-28 2000-01-24 55.42, -68.59, 179.4, -33.1 https://cmr.earthdata.nasa.gov/search/concepts/C1214313611-AU_AADC.umm_json Dataset of marine mammal observations made in the Southern Ocean from late 1998 to early 2000. Further information about the data are included in a word document in the download. The data are held in excel spreadsheets. The word document mentioned above lists the column headings for the excel spreadsheets. The fields in this dataset are: date time species Number of animals Distance Bearing Heading Initial Cue Behaviour Latitude Longitude Effort status Notes Wind speed Wind direction Actual wind speed Actual wind direction Sea State Cloud cover Visibility Boat speed Boat course Speed made good Course made good Temperature Wave Height Weather Depth Swell height More notes proprietary marsii94_407_1 BOREAS/AES MARS-II 15-minute Surface Meteorological Data: 1994 ORNL_CLOUD STAC Catalog 1994-05-24 1994-09-20 -108.43, 51.08, -97.55, 59.56 https://cmr.earthdata.nasa.gov/search/concepts/C2808090209-ORNL_CLOUD.umm_json Contains 15 minute surface meteorology data collected during the 1994 field campaigns by the Atmospheric Environment Service Meteorological Automatic Reporting System II autostations. proprietary mas_lv2_561_1 BOREAS Level-2 MAS Surface Reflectance and Temperature Images in BSQ Format ORNL_CLOUD STAC Catalog 1994-07-21 1994-08-08 -106.32, 53.42, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2813525557-ORNL_CLOUD.umm_json MAS images, along with other remotely sensed data, were collected to provide spatially extensive information over the primary study areas. This information includes biophysical parameter maps such as surface reflectance and temperature. Collection of the MAS images occurred over the study areas during the 1994 field campaigns. proprietary +masccpex_1 Microwave Atmospheric Sounder on Cubesat (MASC) CPEX V1 GHRC_DAAC STAC Catalog 2017-05-27 2017-06-21 -94.4072, 16.541, -69.04, 29.0499 https://cmr.earthdata.nasa.gov/search/concepts/C2658475027-GHRC_DAAC.umm_json The Microwave Atmospheric Sounder on Cubesat (MASC) CPEX dataset contains products obtained from the MASC instrument onboard the DC-8 aircraft. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 27, 2017 through June 21, 2017 and are available in HDF-5 format. proprietary maslv1b_560_1 BOREAS Level-1B MAS Imagery: At-Sensor Radiance, Relative X and Y Coordinates ORNL_CLOUD STAC Catalog 1994-07-21 1994-08-08 -106.32, 53.42, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2808093599-ORNL_CLOUD.umm_json MAS images, along with the other remotely sensed data, were collected to provide spatially extensive information over the primary study areas. This information includes detailed land cover and biophysical parameter maps such as fPAR (fraction of Photosynthetically Active Radiation) and LAI (Leaf Area Index). proprietary mass_of_merchantable_branches_of_live_trees-47_1.0 Mass of merchantable branches of live trees ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815616-ENVIDAT.umm_json Dry weight (mass) of branches with a diameter of at least 7 cm from living trees and shrubs starting at 12cm dbh. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary mass_of_needles_or_leaves_of_live_trees-49_1.0 Mass of needles or leaves of live trees ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816104-ENVIDAT.umm_json Dry weight (mass) of the needles and leaves of the living trees and shrubs starting at 12 cm dbh. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary @@ -14335,7 +12618,6 @@ mcdonald_dem_may2012_1 A Digital Elevation Model of McDonald Island derived from mean-insect-occupancy-1970-2020_1.0 Mean insect occupancy 1970–2020 ENVIDAT STAC Catalog 2022-01-01 2022-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082591-ENVIDAT.umm_json This dataset contains all data, on which the following publication below is based. **Paper Citation**: Neff, F., Korner-Nievergelt, F., Rey, E., Albrecht, M., Bollmann, K., Cahenzli, F., Chittaro, Y., Gossner, M. M., Martínez-Núñez, C., Meier, E. S., Monnerat, C., Moretti, M., Roth, T., Herzog, F., Knop, E. 2022. Different roles of concurring climate and regional land-use changes in past 40 years' insect trends. Nature Communications, DOI: [10.1038/s41467-022-35223-3](https://doi.org/10.1038/s41467-022-35223-3) Please cite this paper together with the citation for the datafile. Please also refer to this publication for details on the methods. ## Summary Mean annual occupancy estimates for 390 insect species (215 butterflies [Papilionoidea, incl. Zygaenidae moths], 103 grasshoppers [Orthoptera], 72 dragonflies [Odonata]) for nine bioclimatic zones in Switzerland. Covers the years 1970-2020 (for butterflies) and 1980-2020 (for grasshoppers and dragonflies). Mean occupancy denotes the average number of 1 km x 1 km squares in a zone occupied by the focal species. Occupancy estimates stem from occupancy-detection models run with species records data hosted and curated by [info fauna](http://www.infofauna.ch). Data on the level of single MCMC iterations of model fitting are included (4000 sampling iterations). The nine bioclimatic zones were defined based on biogeographic regions and two elevation classes (square above or below 1000 m. asl) proprietary medical_bibliography_1 A bibliography of polar medicine related articles AU_AADC STAC Catalog 1947-01-01 2007-06-06 60, -90, 160, -42 https://cmr.earthdata.nasa.gov/search/concepts/C1214311212-AU_AADC.umm_json This bibliography contains a list of publications in medical sciences from Australian National Antarctic Research Expeditions (ANARE) and the Australian Antarctic Program (AAP) from 1947-2007. The bibliography also contains publications related to Australian involvement in the International Biomedical Expedition to the Antarctic (IBEA), 1980-1981. Currently (as at 2007-06-06) the bibliography stands at 285 references, but is updated annually. The publications are divided into the following areas: Clinical medicine Clinical medicine - case reports Telemedicine Dentistry Diving Epidemiology Polar human research - general Physiology Immunology Photobiology Microbiology Psychology and behavioural studies Nutrition Theses Popular articles Miscellaneous IBEA Posters The fields in this dataset are: Author Title Journal Year proprietary mega-plots_1.0 Towards comparable species richness estimates across plot-based inventories - data ENVIDAT STAC Catalog 2022-01-01 2022-01-01 -14.0625, 33.1375512, 42.1875, 72.1818036 https://cmr.earthdata.nasa.gov/search/concepts/C2789816317-ENVIDAT.umm_json "The data file refers to the data used in Portier et al. ""Plot size matters: towards comparable species richness estimates across plot-based inventories"" (2022) *Ecology and Evolution*. This paper describes a methodoligical framework developed to allow meaningful species richness comparisons across plot-based inventories using different plot sizes. To this end, National Forest Inventory data from Switzerland, Slovakia, Norway and Spain were used. NFI plots were aggregated into mega-plots of larger sizes to build rarefaction curves. The data stored here correspond to the mega-plot level data used in the analyses, including for each country the size of the mega-plots in square meters (A), the corresponding species richness (SR) as well as all enrionmental heterogeneity measures described in the corresponding paper. Mega-plots of country-specific downscaled datasets are also provided. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). Contact details for data requests from all NFIs can be found in the ENFIN website (http://enfin.info/)." proprietary -mendocino_mathison_peak_nff_sr_Not provided Airborne laser swath mapping (ALSM) data of the San Andreas fault SCIOPS STAC Catalog 2003-02-05 2003-02-11 -123.81387, 39.31092, -123.720085, 39.333496 https://cmr.earthdata.nasa.gov/search/concepts/C1214614580-SCIOPS.umm_json "This airborne laser swath mapping (ALSM) data of the San Andreas fault zone in northern California was acquired by TerraPoint, LLC under contract to the National Aeronautics and Space Administration in collaboration with the United States Geological Survey. The data were acquired by means of LIght Detection And Ranging (LIDAR) using a discrete-return, scanning laser altimeter capable of acquiring up to 4 returns per laser pulse. The data were acquired with a nominal density of 1 laser pulses per square meter achieved with 58% overlap of adjacent data swaths (all areas were mapped at least twice and the data combined to produce final products). The data set consists of 3 parts: (1) the LIDAR point cloud providing the location and elevation of each laser return, along with associated acquisition and classification parameters, (2) a highest-surface digital elevation model (DEM) produced at a 6 foot grid spacing, where each grid cell elevation corresponds to the highest laser return within the cell (cells lacking returns are undefined, usually associated with water or low reflectance surfaces such as fresh asphalt), and (3) a ""bald Earth"" DEM, with vegetation cover and buildings removed, produced at a 6 foot grid spacing by sampling a triangular irregular network (TIN). The TIN was constructed from those returns classified as being from the ground or water based on spatial filtering of the point cloud. Comparison to GPS-established ground control in flat, vegetation-free areas indicates that the DEM vertical accuracy is 17 cm (RMSE for 85 points). Bald Earth elevations under vegetation and for water bodies are less accurate where laser returns from the ground or water are sparse. The highest surface and bald Earth DEMs are distributed as georeferenced geotiff elevation and shaded relief images. The grid cell values in the elevation images are orthometric elevations in international feet referenced to North American Vertical Datum 1988 (NAVD-88) stored as signed floating point values with undefined grid cells set to -99. The shaded relief images are byte values from 0 (shaded) to 255 (illuminated) computed using ENVI 4.0 shaded relief modeling with an illumination azimuth of 225 degrees, illumination elevation of 60 degrees, and a 3x3 kernel size. The images are mosaics based on USGS 7.5 minute quadrangle boundaries. Each mosaic is an east-west strip covering the northern or southern half of adjacent quadrangles. File names include the quadrangle names, a northern (N) or southern (S) half designation, a bald Earth (BE) or highest-surface (FF) designation, and an elevation image (elev) or shaded relief image (SR) designation. FF refers to full-feature indicating vegetation and buildings have not been removed.These data were developed in order to study the geomorphic expression of natural hazards in support of the National Aeronautics and Space Administration (NASA) Solid Earth and Natural Hazards (SENH) Program, the United States Geological Survey (USGS), and the Geology component of the Earthscope Plate Boundary Observatory. Spatial Data Organization Information - Direct Spatial Reference: Raster Raster Object Type: Pixel Row Count: 1285 Column Count: 4398 Vertical Count: 1 Spatial Reference Information - Horizontal Coordinate System Definition - Planar - Map Projection Name: Lambert Conformal Conic Standard Parallel: 38.333333 Standard Parallel: 39.833333 Longitude of Central Meridian: -122.000000 Latitude of Projection Origin: 37.666667 False Easting: 6561666.666667 False Northing: 1640416.666667 Planar Coordinate Encoding Method: row and column Coordinate Representation: Abscissa Resolution: 6.000000 Ordinate Resolution: 6.000000 Distance and Bearing Representation: Planar Distance Units: survey feet Geodetic Model: Horizontal Datum Name: North American Datum of 1983 Ellipsoid Name: Geodetic Reference System 80 Semi-major Axis: 6378137.000000 Denominator of Flattening Ratio: 298.257222" proprietary met-obs-jmr-stations-1976_1 Meteorological Observations Made At JMR Stations 1976-1977 AU_AADC STAC Catalog 1976-01-01 1977-12-31 124.5, -78.5, 93, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214313660-AU_AADC.umm_json During the Mirny-Dome C traverse in 1976/77, time was spent at a number of cane sites taking JMR measurements, to determine the precise location. During this time, basic meteorological observations of air temperature and pressure were made and recorded. These documents have been archived in the records store at the Australian Antarctic Division. proprietary met_profile_SA_729_1 SAFARI 2000 Upper Air Meteorological Profiles, South Africa, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-01 2000-09-30 -10, -41, 31, -24 https://cmr.earthdata.nasa.gov/search/concepts/C2789021046-ORNL_CLOUD.umm_json The University of Wyoming has a series of balloonborne radiosonde measurements from all around the world, from the surface to 30 km. This data set contains upper air meteorological profiles from 594 radiosonde launches deployed from sites in South Africa. These sonde launches were made to augment the regional sounding network in the region during the SAFARI 2000 Dry Season Campaign of 2000.Vaisala RS80 sondes were launched from nine sites in South Africa between August 1, 2000 and September 30, 2000. The launch sites were Pietersburg (changed to Polokwane after 2000), Pretoria (Irene), Bethlehem, Springbok, De Aar, Durban, Cape Town, Port Elizabeth, and Gough Island. The parameters measured by the radiosonde instruments include: pressure, air temperature, relative humidity, wind speed, and wind direction. proprietary met_profile_skukuza_728_1 SAFARI 2000 Upper Air Meteorological Profiles, Skukuza, Dry Seasons 1999-2000 ORNL_CLOUD STAC Catalog 1999-08-14 2000-09-23 31.59, -24.97, 31.59, -24.97 https://cmr.earthdata.nasa.gov/search/concepts/C2789020292-ORNL_CLOUD.umm_json Vaisala RS80 sondes were deployed from Skukuza Airport, South Africa, to collect atmospheric sounding profiles of temperature and moisture data from the surface to 30 km. These sonde launches were coordinated to augment the regional sounding network in the region during the SAFARI 2000 Dry Season Campaigns of 1999 and 2000. The radiosondes were launched from Skukuza Airport between August 14-September 3, 1999, and between August 24-September 23, 2000. The radiosonde instrument package RS80 measured the following meteorological parameters: pressure in hecto-Pascals (P), ambient temperature in degrees Celsius (T), and relative humidity in percentage (RH). A hydrostatic equation was applied to the recorded data, after error-checking, to calculate the output parameters: height above sea level in meters, dew point temperature in degrees Celsius, and q (g/kg) which is specific humidity in grams per kilogram. proprietary @@ -14343,9 +12625,13 @@ meteo-at-s17-antarctica-2018-2019_1.0 Meteorology and snow transport at S17 near meteo-stillberg_1.1 Long-term meteorological station Stillberg, Davos, Switzerland at 2090 m a.s.l. ENVIDAT STAC Catalog 2023-01-01 2023-01-01 9.86716, 46.773573, 9.86716, 46.773573 https://cmr.earthdata.nasa.gov/search/concepts/C3226082620-ENVIDAT.umm_json # Background information The Stillberg ecological treeline research site is located in the transition zone between the relatively humid climate of the Northern Alps and the continental climate of the Central Alps. In 1975, 92,000 seedlings of the high-elevation conifer species *Larix decidua* Mill. (European larch), *Pinus cembra* L. (Cembran pine), and *Pinus mugo* ssp. *uncinata* (DC.) Domin (mountain pine) were systematically planted across an area of 5 hectares along an elevation gradient of about 150 metres, with the aim to develop ecologically, technically, and economically sustainable afforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Alongside the ecological long-term monitoring of the afforestation, several meteorological stations have recorded local meteorological conditions at the Stillberg research site. Here, we provide the Davos Stillberg meteorological timeseries of five stations from 1975 (01-01-1975), the year of the afforestation establishment, until the end of the year 2022 (31-12-2022). # Station description The five meteorological stations were all installed at the same location (46°46′25.015″N 9°52′01.792″E) at 2090 m a.s.l., in the lower part of the afforestation area. In general, the five stations were operated sequentially (Stillberg_meteo_metadata_stations_v1.csv). However, there are some overlapping time periods when more than one station was operated in parallel. The stations have recorded environmental parameters, such as air and soil temperature, dew point temperature, air pressure, relative humidity, wind direction and velocity, radiation, precipitation, and snow depth (Stillberg_meteo_metadata_parameters_v1.csv). The meteorological measurements were recorded hourly from 1975 until 1996 and have been recorded in 10-minute intervals since 1997. # Data description We processed the Davos Stillberg meteorological timeseries with the MeteoIO meteorological data pre-processing library (Bavay & Egger, 2014). Data files are provided for each station and quality level separately and named according to the station (see ‘Stillberg_meteo_metadata_stations_v1.csv’). From the raw data in their original formats, we generated three data quality levels: raw standardized (folder ‘raw_standardized’), edited (folder ‘raw_edited’) and filtered (folder ‘filtered’). The processing level is indicated in the headers of the data files. The whole processing protocol is described in a set of human-readable configuration files that are used by MeteoIO to generate the required data quality levels. This improves long-term reproducibility (Bavay et al., 2022), as the data could be regenerated in the future, even using a completely different software, to account for additional data points or to introduce new data corrections. The first quality level (raw standardized) is generated by parsing the original data files and interpreting them in order to convert all data points to a common format and meteorological parameter naming scheme, while excluding unreadable or duplicated data lines. The generated data files are derivatives of CSV files, with a standardised header that contains the metadata that are necessary to interpret and use the data (use metadata) and to populate a data index (search metadata). The latter is a textual implementation of the Attribute Convention for Data Discovery (ACDD) metadata standard (Attribute Convention for Data Discovery 1-3, 2022). The second quality level (edited) builds on the raw data by performing low-level data editing, such as removing some data periods that are known to be unusable (often based on maintenance records or anecdotal evidence) or applying undocumented calibration factors (for example, when there seems to be an obvious offset on a measured parameter for a period between two documented maintenance operations). The third quality level is generated by applying statistical filters on the data (per station and per meteorological parameter) to exclude presumably wrong values. We did not perform gap filling, as no single strategy could be relied upon that would work best for all possible data usage scenarios. proprietary meteo_50_1 Meteorology (OTTER) ORNL_CLOUD STAC Catalog 1989-05-27 1991-01-07 -123.94, 44.38, -121.68, 45.06 https://cmr.earthdata.nasa.gov/search/concepts/C2804768223-ORNL_CLOUD.umm_json Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry (OTTER) proprietary meteorological-data-used-to-develop-and-validate-the-bias-detecting-ensemble-bde_1.0 Meteorological data used to develop and validate the bias-detecting ensemble (BDE) ENVIDAT STAC Catalog 2019-01-01 2019-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816342-ENVIDAT.umm_json "These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the ""deterministic"" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations." proprietary +metnavcpexaw_1 DC-8 Meteorological and Navigation Data CPEX-AW GHRC_DAAC STAC Catalog 2021-08-17 2021-09-04 -118.163, 11.8616, -45.6412, 34.73 https://cmr.earthdata.nasa.gov/search/concepts/C2287328798-GHRC_DAAC.umm_json The DC-8 Meteorological and Navigation Data CPEX-AW dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These measurements were taken from the NASA DC-8 aircraft during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. Data are available from August 17, 2021 through September 4, 2021 in ASCII format. proprietary +metnavcpexcv_1 DC-8 Meteorological and Navigation Data CPEX-CV GHRC_DAAC STAC Catalog 2022-09-02 2022-10-03 -118.1571766, 1.8457575, -14.9310906, 39.340882 https://cmr.earthdata.nasa.gov/search/concepts/C2704142547-GHRC_DAAC.umm_json The DC-8 Meteorological and Navigation Data CPEX-CV dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These data were gathered during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign was based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and will be conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These data files are available from September 2, 2022, through October 3, 2022, in ASCII format. proprietary mi_vascular_plants_census_1979_1 Annotated Atlas of the Vascular Flora of Macquarie Island - 1979 AU_AADC STAC Catalog 1978-02-01 1979-02-01 158.76068, -54.78485, 158.96393, -54.47483 https://cmr.earthdata.nasa.gov/search/concepts/C1214313681-AU_AADC.umm_json The atlas shows the known distribution and abundance of each vascular species on Macquarie Island immediately prior to the commencement of control measures against rabbits in 1978. It gives a baseline against which changes in the vegetation can be monitored. The effects of the introduced vertebrates on the vegetation are discussed. Additional data are given on the habitat, gregarious performance and phenology of some species. proprietary micro_pulse_lidar_715_1 SAFARI 2000 Micro-Pulse Lidar Cloud and Aerosol Data, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-08-16 2000-09-24 30.76, -25.5, 33.12, -23.59 https://cmr.earthdata.nasa.gov/search/concepts/C2788391286-ORNL_CLOUD.umm_json Two Micro-Pulse Lidar (MPL) systems were deployed to Africa for the SAFARI 2000 experiment. One MPL was set up in Mongu, Zambia, and the other was set up in Skukuza, South Africa. The primary focus of MPL work during SAFARI was to study the vertical distribution and optical properties of smoke from biomass burning in the region. proprietary mirny_domec_1981_1 Measurements Taken During Mirny - Dome C Traverse, 1981 AU_AADC STAC Catalog 1981-01-01 1981-12-31 93, -75, 130, -67 https://cmr.earthdata.nasa.gov/search/concepts/C1214311214-AU_AADC.umm_json Log books for measurements taken during the Mirny - Dome C traverse by the Russians in 1981. Measurements include snow accumulation, magnetic readings, and barometric levelling. Copies of these documents have been archived in the records store of the Australian Antarctic Division. proprietary +misrepcpexaw_1 Mission Reports CPEX-AW V1 GHRC_DAAC STAC Catalog 2021-08-20 2021-08-27 -80.7803, 14.9995, -63.7583, 26.9859 https://cmr.earthdata.nasa.gov/search/concepts/C2287317426-GHRC_DAAC.umm_json The Mission Reports CPEX-AW dataset contains daily objectives, flight times, and instrument performance during each NASA DC-8 aircraft flight during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. Data are available from August 20, 2021 through August 27, 2021 in Microsoft Word Doc format. proprietary +misrepimpacts_1 Mission Reports IMPACTS GHRC_DAAC STAC Catalog 2020-01-08 2023-03-01 -119, 31, -64, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1995865911-GHRC_DAAC.umm_json The Mission Reports IMPACTS dataset consists of flight plans, plans of the day, science plans, and science summaries logged by scientists during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. The mission reports are available from January 8, 2020, through March 1, 2023, in PDF format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary mod13q1-6.0_NA MOD13Q1 v006 - Cloud Optimized GeoTIFF INPE STAC Catalog 2000-02-18 2023-02-02 -81.234129, -40, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C3108204163-INPE.umm_json The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13Q1) Version 6.0 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. proprietary model_36_1 Forest-BGC Model (OTTER) ORNL_CLOUD STAC Catalog 1990-01-01 1990-12-31 -123.95, 44.38, -121.68, 45.07 https://cmr.earthdata.nasa.gov/search/concepts/C2804749057-ORNL_CLOUD.umm_json Steve Running's Forest-BGC Model (v.1991) proprietary model_npp_xdeg_1027_1 ISLSCP II IGBP NPP Output from Terrestrial Biogeochemistry Models ORNL_CLOUD STAC Catalog 1931-01-01 1987-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785306797-ORNL_CLOUD.umm_json This data set contains modeled annual net primary production (NPP) for the land biosphere from seventeen different global models. Annual NPP is defined as the net difference of annual carbon uptake (grams CO2/m2/yr) from the atmosphere through photosynthesis by the land vegetation and that lost back to the atmosphere through autotrophic and maintenance respiration. NPP is also related to the Net Ecosystem Exchange (NEE) of carbon accumulated by or lost from the surface by its vegetation and soils. NPP is NEE plus heterotrophic (decomposition) respiration of the vegetation and soils. Only NPP values are included in this data set as some models did not estimate NEE. Data for the mean, standard deviation and coefficient of variation of NPP for the 17 models are provided at spatial resolutions of 1.0 degree and 0.5 degrees. There are two compressed (*.zip) data files with this data set. proprietary @@ -14361,6 +12647,7 @@ modis_burned_area_796_1 SAFARI 2000 MODIS 500-m Burned Area Products, Southern A modis_h2o_heat_flux_762_1 SAFARI 2000 MODIS Water and Heat Fluxes, Maun, Botswana, Dry Season 2001 ORNL_CLOUD STAC Catalog 2001-09-02 2001-09-29 21.49, -21, 24.5, -17.99 https://cmr.earthdata.nasa.gov/search/concepts/C2789043651-ORNL_CLOUD.umm_json A physically-based model, Energy: Surface Towards Atmosphere (ESTA), was used to model and map the energy and water balances of a heterogeneous land surface in a savanna environment on the southern fringe of the Okavango Delta, near Maun, Botswana. ESTA is governed by remotely sensed values of surface temperature, reflection, and vegetation density. Surface reflectance data from the MODIS sensor aboard the Terra satellite were obtained for the Okavango Delta region for September of 2001. proprietary modis_l3_albedo_840_1 SAFARI 2000 MODIS L3 Albedo and Land Cover Data, Southern Africa, Dry Season 2000 ORNL_CLOUD STAC Catalog 2000-07-11 2000-10-15 5, -30, 60, 5 https://cmr.earthdata.nasa.gov/search/concepts/C2789103516-ORNL_CLOUD.umm_json The Filled Land Surface Albedo Product for Southern Africa, which is generated from MOD43B3 Product (the official Terra/MODIS-derived Land Surface Albedo - http://geography.bu.edu/brdf/userguide/albedo.html ), is a subset of the global data set of spatially complete albedo maps computed for both white-sky and black-sky at 10 wavelengths (0.47mm, 0.55mm, 0.67mm, 0.86mm, 1.24mm, 1.64mm, 2.1mm, and broadband 0.3-0.7mm, 0.3-5.0mm, and 0.7-5.0mm). An exception is that no 2.1mm data for black-sky is being archived at this time. The data spatial extent is from approximately 5 degrees N to -30 degrees S latitude and 5 minutes E to 60 degrees E longitude and covers 7 sixteen day periods starting on July 11 through October 15, 2000.Map Products, containing spatially complete land surface albedo data, are generated at 1-minute resolution on an equal-angle grid. The maps are stored in separate HDF files for each wavelength, each 16-day period and each albedo type (white- and black-sky). Data belonging to black sky and white sky albedo have been zipped separately. This format allows the user to have flexibility to download and store only the data absolutely needed.The One-Minute Land Ecosystem Classification Product is a global (static map) data set of the International Geosphere-Biosphere Programme (IGBP) classification scheme stored on an equal-angle rectangular grid at 1-minute resolution. The dataset is generated from the official MODIS land ecosystem classification dataset, MOD12Q1 for year 2000, day 289 data (October 15, 2000). This dataset is used in generating the spatially complete albedo maps, but is also a stand-alone product designed for use by the user community. The Land Ecosystem Classification Map File product file is stored in Hierarchical Data Format (HDF). proprietary modis_landcover_xdeg_968_1 ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001 ORNL_CLOUD STAC Catalog 2000-10-01 2001-10-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784890070-ORNL_CLOUD.umm_json This data set, ISLSCP II MODIS (Collection 4) IGBP Land Cover, 2000-2001, contains global land cover classifications (dominant type, classification confidence and fractional cover) generated using a full year of MODerate Resolution Imaging Spectroradiometer (MODIS) data covering the period from October 2000 to October 2001. The objective of the MODIS Land Cover Product is to provide a suite of land cover types useful to global system science modelers by exploiting the information content of MODIS data in the spectral, temporal, spatial, and directional domains. These products describe the geographic distribution of the 17 land cover classification scheme proposed by the International Geosphere-Biosphere Programme (IGBP). proprietary +modiscpex_1 Moderate Resolution Imaging Spectroradiometer (MODIS) CPEX V1 GHRC_DAAC STAC Catalog 2017-05-09 2017-07-16 -133.329, -15.7699, -7.96509, 62.0543 https://cmr.earthdata.nasa.gov/search/concepts/C2659160181-GHRC_DAAC.umm_json The Moderate Resolution Imaging Spectroradiometer (MODIS) CPEX dataset includes measurements gathered by MODIS during the Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region and conducted a total of sixteen DC-8 missions. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. Data are available from May 9, 2017 through July 16, 2017 in netCDF-3 format. proprietary mogli-sdm_1.0 Distribution maps of common woody species for Swiss forests ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816628-ENVIDAT.umm_json **We used Swiss National Forest Inventory ([NFI](https://www.lfi.ch/index-en.php)) data to model the potential distribution of the most common woody species for the forested area of Switzerland and provide potential distribution maps that fulfill specific quality criteria with regard to predicting performance.** More details on the methods and results are described in the project summary available [here](https://www.envidat.ch/dataset/07a9c22c-9ec2-4f49-87e2-3b2d73ad81f2/resource/9bfd5308-d9be-4d01-ab78-48d33889e04e/download/mogli_summary.pdf). **The resulting maps can be viewed in a simple web-GIS application available at:** [https://www.lfi.ch/produkte/mogli/mogli-en.php](https://www.lfi.ch/produkte/mogli/mogli-en.php) **Data can be used without restrictions, but the data must be explicitly asked from the contact person of the dataset in order to obtain access.** This is a requirement to fulfill the needs of reporting towards the funding agencies. proprietary mongu_daily_rainfall_785_1 SAFARI 2000 Daily Rainfall Totals for Mongu, Zambia, 1999-2002 ORNL_CLOUD STAC Catalog 1999-07-01 2002-06-30 23.16, -15.25, 23.16, -15.25 https://cmr.earthdata.nasa.gov/search/concepts/C2789658100-ORNL_CLOUD.umm_json This data set contains daily rainfall totals (mm) from Mongu, in the Western Province of Zambia. The data were collected with a British standard 5 inch diameter rain gauge in a yard 30 m away from the Meteorological Department building near the Mongu Airport (north of downtown and approximately 20 km from the Kataba Local Forest where the permanent 30 m Mongu tower site is located). Rainfall readings were taken by ZMD staff each morning at 06:00 GMT. These data form the official government rainfall record for Mongu.The data files consist of 3 files, one for each year (July to Jun). Each files contains monthly columns with totals for each day of the month as well as a monthly total. The data files are stored as ASCII text files in comma-separated-value (csv) format. proprietary mongu_fpar_trac_784_1 SAFARI 2000 FPAR TRAC Data for Mongu, Zambia, 1999-2002 ORNL_CLOUD STAC Catalog 1999-08-10 2002-02-23 22.03, -16.87, 24.28, -14.93 https://cmr.earthdata.nasa.gov/search/concepts/C2789655178-ORNL_CLOUD.umm_json Data from the Tracing Architecture and Radiation of Canopies (TRAC) instrument were processed to determine the fraction of intercepted photosynthetically active radiation (FPAR) at the EOS Validation Core Site in Kataba Local Forest, approximately 20 km south of Mongu, Zambia. Measurements began in 1999 and continued into 2002, with measurements collected about every month. TRAC contains three pyranometers sensitive to PAR wavelengths, with two sensors upward looking and one downward looking. The TRAC instrument was carried along three parallel transects, each 750 m long and spaced 250 m apart, about 0.7 m off the ground on clear days near midday. The sensors measured PAR at 32 Hz, resulting in a horizontal sampling interval of about 1.7 cm (Privette et al., 2002). Each transect was divided into 25 m segments, and Fpar values, with date/time stamp, are reported for each segment. The length and spacing of the transects were chosen to sample an area large enough to be representative of a 1 km MODIS pixel. PAR transmittance values were determined from the upward viewing pyranometers on the TRAC instrument. Due to the large gaps in the canopy, incident PAR was estimated from the TRAC data as 95% of the maximum PAR transmittance value for each transect. The FPAR values of all the observations were averaged to give segment-average FPAR, and segment average FPAR values were averaged to give transect-average FPAR.The data file is stored as an ASCII text file, in comma-separated-value (csv) format, with column headers. proprietary @@ -14388,22 +12675,56 @@ mosaic-snow-on-sea-ice-data_1.0 MOSAIC Snow on Sea Ice Data ENVIDAT STAC Catalog mountain-permafrost-hydrology_1.0 Mountain Permafrost Hydrology ENVIDAT STAC Catalog 2019-01-01 2019-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816262-ENVIDAT.umm_json This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). In earlier reports such as the CH2014-IMPACTS report (CH-Impacts 2014), the topic of mountain permafrost hydrology was not addressed. Here, we provide a baseline of the available knowledge of mountain permafrost in the Swiss Alps for future reference. We compile an overview of the current understanding of mountain permafrost in the Swiss Alps, its distribution and characteristics, observed and projected changes, and expected impacts on slope stability, infrastructure and hydrological aspects. We also briefly describe the measurement techniques and modelling approaches applied. The chapter closes with a summary of the most important open research questions. The literature cited mainly includes studies on mountain permafrost published in scientific journals and assessments of long-term observation data. We focus on permafrost hydrology interactions wherever information is available. However, systematic studies on permafrost hydrology in mountain areas are still limited. proprietary mountland-jura_1 Biogeochemical data from a transplantation experiment of monolith soil turfs along an altitudinal gradient to simulate climate change scenarios ENVIDAT STAC Catalog 2016-01-01 2016-01-01 6.433333, 46.866667, 6.433333, 46.866667 https://cmr.earthdata.nasa.gov/search/concepts/C2789816307-ENVIDAT.umm_json Silvopastoral systems are highly productive and combine long-term wood production with annual provision of forage for livestock. In the Swiss Jura Mountains these systems are a key component of the landscape. As in other cold biomes, climate change can potentially accelerate landscape change within these historically sustainable systems. In order to anticipate the evolution of subalpine wooded pasture ecosystems under future climate and land-use changes, this project focused on the interplay between soil, vegetation and climate. It was aimed at providing experimental evidence for chief ecosystem processes, with emphasis on the quality of the ecosystem services provided. The main interest was placed on vegetation turf resistance to climate change along an unwooded – sparsely wooded - densely wooded pasture gradient (land-use intensity), where plant productivity, diversity and succession along with rates of carbon cycling and microbial activity provided measures of ecosystem functioning at both plot and landscape level. Experimental transplantation of monolith soil turfs to lower altitudes allowed to simulate soil warming and reduced annual precipitation. In order to simulate a year-round warmer and drier climate the natural climate variation along an altitudinal gradient was used as a proxy. The aim was to simulate realistic climate change scenarios for the second half of the 21st century predicted by the IPCC report and downscaled for Switzerland providing regionalized interpolated projections integrating therein trends for temperature increase and precipitation decrease. By using permanent meteorological stations within the network of the Federal Office of Meteorology and Climatology (MeteoSwiss), we obtained high resolution regional data on the variation of mean annual temperature (MAT) and mean annual precipitation (MAP) in relation to altitude in the Swiss Jura Mountains. We observed a general increase of +0.5 K in MAT and a decrease of -20 % MAP for each 100 m decrease in altitude along the SE slope of the Swiss Jura Mountains. These relationships served for the selection of the transplantation sites such that in comparison to a control site at 1350 m a.s.l. (Combe des Amburnex, N 46°54’, E 6°23’) a +2 K MAT and -20 % MAP was achieved at 1010 m a.s.l. (Saint-George, N 46°52’, E 6°26’), a +4 K MAT and -40 % MAP at 570 m a.s.l., (Arboretum d’Aubonne, N 46°51’, E 6°37’), and a +5 K MAT and -50 % MAP at 395 m a.s.l. (Les Bois Chamblard, N 46°47’, E 6°41’). The two stations at 1010 m a.s.l. and 570 m a.s.l. corresponded to the IPCC scenario A1B for a moderate increase in greenhouse gas emissions and to scenario A2 for a high increase in greenhouse gas emissions, respectively. The station at 395 m a.s.l. was chosen to represent an extreme scenario with climate variables lying at the positive tail distribution of model predictions under the A2 scenario. Soil cores were assembled into rectangular PVC boxes of 60 80 cm2 size and of 35 cm height. All mesocosms were dug down to surface level into previously prepared trenches in the ground thus preventing lateral heat exchange with the atmosphere. Since at each site the mesocosms were placed in a common garden with no light interception, mesocosms with turfs from the two wooded pastures were shaded from direct sun light to simulate the natural light conditions in the corresponding habitats. Each mesocosm was equipped with a drainage system and was connected to a water tank thus representing a zero potential lysimeter collecting soil solution and precipitation/snowmelt runoff. ECH2O EC-TM sensor probes coupled to Em50 data-loggers (Decagon Devices, Inc., USA) recorded soil temperature and volumetric water content in each mesocosm at the top-soil (0 to -3 cm) every minute and data were averaged over one hour intervals. Climate parameters at each transplantation site were monitored continuously throughout the experiment by means of automated weather stations (Sensor Scope Sàrl, Switzerland), measuring rain precipitation (non-heated tipping bucket gauges) and air temperature and humidity 2 m above the ground surface at one minute intervals. A list of above- and belowground variables were measured to assess the resilience of biogeochemical processes, plant productivity, tree regeneration, and carbon sequestration for each respective land-use practice. Furthermore, the experimental data were used to improve on (parameterization) the existing spatially explicit, dynamic model WoodPaM and refine the modelʼs climatic and land-use variables so that different scenarios of climate change and land use change could be simulated. Natural and management induced disturbance patterns were incorporated into the model. The data have been made available within the project CCES Mounted. The climate stations Sensorscope are still in use within the project CLIMARBRE (Wald und Klimawandel, WSL/BAFU). #References 1. Puissant, J., Cécillon, L., Mills, R.T.E., Robroek, B.J.M. Gavazov, K., De Danieli, S., Spiegelberger, T., Buttler, A., Brun, J.J. 2015. Seasonal influence of climate manipulation on microbial community structure and function in mountain soils. Soil Biology and Biochemistry 80: 296–305. 2. Mills, R., K. Gavazov, T. Spiegelberger, D. Johnson and A. Buttler 2014. Diminished soil functions occur under simulated climate change in a sup-alpine pasture, but heterotrophic temperature sensitivity indicates microbial resilience. Science of the Total Environment, vol. 473–474(0): 465-472. 3. Gavazov, K., Spiegelberger, T. and Buttler, A. 2014. Transplantation of subalpine wood-pasture turfs along a natural climatic gradient reveals lower resistance of unwooded pastures to climate change compared to wooded ones. Oecologia (174) : 1425-1435. 4. Peringer A., Siehoff S., Chételat J., Spiegelberger T., Buttler A. & Gillet F. 2013. Past and future landscape dynamics in pasture-woodlands of the Swiss Jura Mountains under climate change. Ecology and Society, 18, 3: 11. DOI: 10.5751/ES-05600-180311. [online] URL: http://www.ecologyandsociety.org/vol18/iss3/art11/ 5. Gavazov, K. S., A. Peringer, A. Buttler, F. Gillet and T. Spiegelberger. 2013. Dynamics of Forage Production in Pasture-woodlands of the Swiss Jura Mountains under Projected Climate Change Scenarios. Ecology and Society 18 (1): 38. [online] URL: http://www.ecologyandsociety.org/vol18/iss1/art38/ proprietary mr_1.0 RoRCC ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4535933, 47.3601075, 8.4571981, 47.3616191 https://cmr.earthdata.nasa.gov/search/concepts/C2789816324-ENVIDAT.umm_json "The dataset ""RoRCC"" consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information: 1) metadata on the RoR power plants under consideration, 2) annual and seasonal production potential scenarios under into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099), 3) annual and seasonal streamflow scenarios, 4) annual and seasonal production loss due to environmental flow requirements, 5) annual and seasonal the technical increase potential (via design discharge optimisation) and 6) annual and seasonal changes in the hydrological cycle." proprietary +mrmsimpacts_1 Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS V1 GHRC_DAAC STAC Catalog 2022-01-01 2023-03-02 -129.9949951, 20.0050011, -60.0050049, 54.9949989 https://cmr.earthdata.nasa.gov/search/concepts/C2287332555-GHRC_DAAC.umm_json The Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS dataset contains reflectivity products using the MRMS system during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data are available from January 1, 2022, through March 2, 2023, in netCDF-4 format. proprietary +msutls_6 AMSU/MSU Lowstratosphere Day/Month Temperature Anomalies and Annual Cycle GHRC_DAAC STAC Catalog 1978-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996545162-GHRC_DAAC.umm_json The AMSU/MSU Lowstratosphere Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the lower stratosphere. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats. proprietary +msutlt_6 AMSU/MSU Lowtroposphere Day/Month Temperature Anomalies and Annual Cycle V6 GHRC_DAAC STAC Catalog 1978-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996545409-GHRC_DAAC.umm_json The AMSU/MSU Lowtroposphere Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the lower troposphere. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats. proprietary +msutmt_6 AMSU/MSU Midtroposphere Day/Month Temperature Anomalies and Annual Cycle V6 GHRC_DAAC STAC Catalog 1978-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996545587-GHRC_DAAC.umm_json The AMSU/MSU Midtroposphere Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the mid-troposphere. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats. proprietary +msuttp_6 AMSU/MSU Tropopause Day/Month Temperature Anomalies and Annual Cycle V6 GHRC_DAAC STAC Catalog 1978-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1996545873-GHRC_DAAC.umm_json The AMSU/MSU Tropopause Day/Month Temperature Anomalies and Annual Cycle V6 dataset consists of temperature anomalies and annual cycle temperatures derived from the Microwave Sounding Unit (MSU) and the Advanced Microwave Sounding Unit-A (AMSU-A) radiance data since January 1978. All products are derived for the tropopause. The dataset begins on January 1, 1978 and is still currently ongoing. The data are available in netCDF-4 and ASCII formats. proprietary mt_menzies_sat_1 Mt Menzies Satellite Image Map 1:100 000 AU_AADC STAC Catalog 1997-08-01 1997-08-31 60.3515, -73.5029, 63.4339, -72.9 https://cmr.earthdata.nasa.gov/search/concepts/C1214313653-AU_AADC.umm_json Satellite image map of Mt Menzies, Mac. Robertson Land, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1997. The map is at a scale of 1:100000, and was produced from Landsat TM and SPOT XS scenes. It is projected on a Transverse Mercator projection, and shows glaciers/ice shelves, and gives some historical text information. The map has both geographical and UTM co-ordinates. proprietary multifaceted-diversity-alps_1.0 Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps ENVIDAT STAC Catalog 2023-01-01 2023-01-01 4.5922852, 42.8786471, 17.512207, 48.4024632 https://cmr.earthdata.nasa.gov/search/concepts/C3226082602-ENVIDAT.umm_json This repository contains extensive data for the European Alps: - Observations of ~3,500 plant species - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal) - Flora migration rates (categorical) and ecological preferences (continuous indicator values) - Regional maps of barriers to migration and water bodies at 100-m resolution - Sampling effort, distance to roads and cities predictors at 100-m resolution - Present and future abundances over the study region at 1-km resolution (~2,000 species) - Present and future multifaceted and uniqueness of the European Alps' Flora at 1-km resolution - Present and future conservation recommendations at 1-km resolution (26 current and future strategies) - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees) - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them proprietary multiple-realizations-of-daily-swe-swi-and-rain-projections_1.0 Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.3090973, 46.544946, 8.4725189, 46.6591138 https://cmr.earthdata.nasa.gov/search/concepts/C2789816349-ENVIDAT.umm_json The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output. proprietary +musondeimpacts_1 Millersville University Upper Air Radiosondes IMPACTS V1 GHRC_DAAC STAC Catalog 2022-01-16 2022-02-25 -76.36, 39.9275, -72.5031, 43.0968 https://cmr.earthdata.nasa.gov/search/concepts/C2516027930-GHRC_DAAC.umm_json The Millersville University Upper Air Radiosondes IMPACTS dataset contains atmospheric temperature, dew point temperature, wind speed, and wind direction measurements using Vaisala’s Radiosonde RS41-SGP and Sparv Embedded S1H3 Windsond during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data are available from January 16, 2022 through February 25, 2022 in ASCII format. proprietary mwlezflx_493_1 BOREAS AFM-01 NOAA/ATDD Long-EZ Aircraft Flux Data over the SSA ORNL_CLOUD STAC Catalog 1994-05-25 1994-09-15 -106.32, 53.42, -104.24, 54.32 https://cmr.earthdata.nasa.gov/search/concepts/C2808091806-ORNL_CLOUD.umm_json Data include aircraft altitude, wind direction, wind speed, air temperature, potential temperature, water mixing ratio, U and V components of wind velocity, static pressure, surface radiative temperature, downwelling and upwelling total radiation, downwelling and upwelling longwave radiation, net radiation, downwelling and upwelling PAR, greenness index, CO2 concentration, O3 concentration, and CH4 concentration. proprietary myd13q1-6.0_NA MYD13Q1 v006 - Cloud Optimized GeoTIFF INPE STAC Catalog 2002-07-04 2023-02-25 -81.234129, -40, -30, 10 https://cmr.earthdata.nasa.gov/search/concepts/C3108204453-INPE.umm_json The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MYD13Q1) Version 6.0 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MYD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. proprietary n-availability-face-hofstetten_1.0 Nitrogen availability under trees exposed to CO2 enrichment (FACE) ENVIDAT STAC Catalog 2019-01-01 2019-01-01 7.502, 47.468, 7.5035, 47.469 https://cmr.earthdata.nasa.gov/search/concepts/C2789815388-ENVIDAT.umm_json Data obtained in the free-air CO2 enrichment (FACE) experiment at Hofstetten, NW Switzerland, between 2009 and 2016. This dataset contains analyses of the soil solution throughout the experiment, especially for nitrate, as well as different analyses done at the end of the experiment: ammonium and nitrate captured by ion-exchange resin bags and extracted from soil cores, gross N mineralisation and nitrification measured by isotope dilution. proprietary n_s_dem_248_1 BOREAS DEM Data over the NSA-MSA and SSA-MSA in AEAC Projection ORNL_CLOUD STAC Catalog 1970-01-01 1989-12-31 -105.23, 53.65, -97.98, 56.14 https://cmr.earthdata.nasa.gov/search/concepts/C2807621661-ORNL_CLOUD.umm_json AEAC projection of the original DEMs produced by the BOREAS HYD-08 team. proprietary nacl_interfacial_phasechanges_1.0 Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.2213783, 47.5325019, 8.2213783, 47.5325019 https://cmr.earthdata.nasa.gov/search/concepts/C2789816432-ENVIDAT.umm_json Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite. proprietary +nalma_1 North Alabama Lightning Mapping Array (LMA) V1 GHRC_DAAC STAC Catalog 2018-12-17 -88.6453, 32.7246, -84.6453, 36.7246 https://cmr.earthdata.nasa.gov/search/concepts/C2683433889-GHRC_DAAC.umm_json The North Alabama Lightning Mapping Array (NALMA) data are used to validate the Lightning Imaging Sensor (LIS) on the International Space Station (ISS), the Geostationary Lightning Mapper (GLM) instrument, and other current and future lightning measurements. These data are also used in convective storm process studies, including but not limited to validation of convection-resolving models that predict lightning. These NALMA data files are available from December 17, 2019 and are ongoing in ASCII format. proprietary +nalmaraw_1 North Alabama Lightning Mapping Array (LMA) Raw Data V1 GHRC_DAAC STAC Catalog 2018-12-17 -88.6453, 32.7246, -84.6453, 36.7246 https://cmr.earthdata.nasa.gov/search/concepts/C2023051335-GHRC_DAAC.umm_json The North Alabama Lightning Mapping Array (LMA) Raw Data are used to validate the Lightning Imaging Sensor (LIS) on the International Space Station (ISS), the Geostationary Lightning Mapper (GLM) instrument, and other current and future lightning measurements. These data are also used in convective storm process studies, including but not limited to validation of convection-resolving models that predict lightning. These NALMA data files are available from December 17, 2019 and are ongoing in ASCII format. proprietary +nam2ds_1 NAMMA TWO-DIMENSIONAL STEREO PROBE AND CLOUD PARTICLE IMAGER V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.9783 https://cmr.earthdata.nasa.gov/search/concepts/C1979884823-GHRC_DAAC.umm_json The NAMMA Two-Dimensional Stereo Probe and Cloud Particle Imager dataset consists of data from two probes used to measure the size, shape, and concentration of cloud particles; the two-dimensional stereo probe (2D-S), and the cloud particle imager (CPI). Both of these probes measure particle size distributions and derives extinction, particle concentration, ice water content and particle shape. Both probes provide hi-resolution black and white images of cloud particles. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namapr2_1 NAMMA SECOND GENERATION AIRBORNE PRECIPITATION RADAR (APR-2) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -13.4683, 21.4717 https://cmr.earthdata.nasa.gov/search/concepts/C1979884964-GHRC_DAAC.umm_json The NAMMA Second Generation Airborne Precipitation Radar (APR-2) dataset was collected by using the Second Generation Airborne Precipitation Radar (APR-2), which is a dual-frequency (14 GHz and 35 GHz), Doppler, dual-polarization radar system that includes digital, real-time pulse compression, extremely compact RF electronics, and a large deployable dual-frequency cylindrical parabolic antenna subsystem. This system measures radar reflectivity and doppler velocity at both the Ku- and Ka-band. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namcaps_1 NAMMA CLOUD MICROPHYSICS (CAPS-PIP) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.0483 https://cmr.earthdata.nasa.gov/search/concepts/C1979885294-GHRC_DAAC.umm_json The NAMMA Cloud Microphysics (CAPS-PIP) dataset consists of particle size distributions from the Clouds, Aerosol and Preciptaition Spectrometer (CAPS) and the Precipitaiton Imaging Probe (PIP) from August 19, 2006 to September 12, 2006. These instruments yield precipitation, hydrometeor and aerosol sizes ranging from 0.55 - 100 microns. Data is in the form of images and ascii tables. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namcobalt_1 NAMMA CARBON MONOXIDE BY ATTENUATED LASER TRANSMISSION (COBALT) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.9783 https://cmr.earthdata.nasa.gov/search/concepts/C1979885415-GHRC_DAAC.umm_json The NAMMA Carbon mOnoxide By Attenuated Laser Transmission (COBALT) dataset includes measurements of the carbon monoxide mixing ratio and derived carbon monoxide mixing ratio profiles in the upper troposphere/lower stratosphere using an in-situ laser absorption spectrometer. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namcvi_1 NAMMA CVI CLOUD CONDENSED WATER CONTENT V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.9783 https://cmr.earthdata.nasa.gov/search/concepts/C1979885558-GHRC_DAAC.umm_json In the NAMMA CVI Cloud Condensed Water Content dataset the counterflow virtual impactor (CVI) was used to measure condensed water content (liquid water or ice in particles about 8 microns in diameter and up) and Cloud Condensation Nuclei (CCN) on the DC-8 during NASA African Monsoon Multidisciplinary Analyses (NAMMA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. Water vapor was measured with a MayComm Tunable Diode Laser (TDL) hygrometer and non-volatile particles are examined with an optical particle counter, a condensation nuclei counter, and an impactor for subsequent chemical analyses. proprietary +namdblue_1 NAMMA MODIS/AQUA AND MODIS/TERRA DEEP BLUE PRODUCTS V1 GHRC_DAAC STAC Catalog 2006-08-13 2006-09-30 -50, -5, 10, 30 https://cmr.earthdata.nasa.gov/search/concepts/C1979885686-GHRC_DAAC.umm_json The NAMMA MODIS/AQUA and MODIS/TERRA Deep Blue Products dataset is a collection of images depicting the aerosol optical depth derived from the MODIS deep blue algorithm from both AQUA and TERRA satellites. Additional imagery includes the RGB and Angstrom Exponent. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namdc8nav_1 NAMMA DC-8 NAVIGATION AND HOUSEKEEPING (ICATS) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.9783 https://cmr.earthdata.nasa.gov/search/concepts/C1979885855-GHRC_DAAC.umm_json The NAMMA DC-8 Navigation and Housekeeping (ICATS) dataset is designed to: 1) interface and process avionics and environmental paramaters from the Navigational Management System, GPS, Central Air Data Computer, Embedded GPS/INS, and analog voltage sources from aircraft and experimenters; 2) Furnish engineering unit values of selected parameters and computed functions for real-time video display, and archive ASCII data at experimenter stations; and 3) Archive engineering unit values of 'Appendix A' (to the ICATS document included with dataset documentation) on data storage for post flight retrieval. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namdlh_1 NAMMA DIODE LASER HYGROMETER (DLH) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.9783 https://cmr.earthdata.nasa.gov/search/concepts/C1979885952-GHRC_DAAC.umm_json The NAMMA Diode Laser Hygrometer (DLH) dataset uses the DLH, a near-infrared spectrometer operating from aircraft platforms, was developed by NASA's Langley and Ames Research Centers. It measures water vapor mixing ratio and derives water vapor partial pressure, relative humidity, and water vapor flux. Based upon near-infrared tunable diode technology, its spectrometer provides true in situ monitoring of water vapor concentrations with precision levels exceeding those of existing Lyman alpha and frost point hygrometers. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namdrop_1 NAMMA DC-8 DROPSONDE V1 GHRC_DAAC STAC Catalog 2006-08-07 2006-09-12 -90.0467, 7.31667, -12.7411, 47.4533 https://cmr.earthdata.nasa.gov/search/concepts/C1979886066-GHRC_DAAC.umm_json The NAMMA DC-8 Dropsonde dataset were collected by the DC-8 dropsonde system, which uses an integrated, highly accurate, GPS-located atmospheric profiling dropsonde measuring and recording current atmospheric conditions in a vertical column below the aircraft. hese dropsondes, also known as dropwindsondes or parachute radiosondes, are small, lightweight (less than 1 lb) cylindrical instruments that fall freely through the atmosphere, slowed somewhat by a small inflatable parachute. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namdrop_raw_1 NAMMA Raw DC-8 Dropsonde V1 GHRC_DAAC STAC Catalog 2006-08-07 2006-09-12 -93.799, 7.485, -12.741, 47.453 https://cmr.earthdata.nasa.gov/search/concepts/C1995865977-GHRC_DAAC.umm_json The NAMMA Raw DC-8 Dropsonde dataset consists of high-resolution vertical profiles of ambient pressure, temperature, relative humidity, wind speed, and wind direction obtained by the DC-8 dropsonde system during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) field campaign. The NAMMA field campaign was based in the Cape Verde Island, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. The DC-8 dropsonde system uses an integrated, highly accurate, Global Positioning System (GPS)-located atmospheric profiling dropsonde measuring and recording current atmospheric conditions in a vertical column below the aircraft. Data files are available in ASCII format for the period of August 7, 2006 through September 12, 2006. proprietary +namhamsr_1 NAMMA HIGH ALTITUDE MMIC SOUNDING RADIOMETER (HAMSR) V1 GHRC_DAAC STAC Catalog 2006-08-15 2006-09-12 -84.51, 7.05, -10.56, 42.04 https://cmr.earthdata.nasa.gov/search/concepts/C1979886197-GHRC_DAAC.umm_json The NAMMA High Altitude MMIC Sounding Radiometer (HAMSR) dataset consists of data collected by HAMSR, which is a 25-channel microwave atmospheric sounder operating as a cross-track scanner. It operates with three bands: an 8-channel band centered around 50 GHz, used for primary temperature sounding; a 10-channel band centered around 118 GHz, used for secondary temperature sounding and assessment of scattering; and a 7-channel band centered around 183 GHz, used for water vapor (humidity) sounding. The instrument continuously self-calibrates by using internal calibration targets. Radiometric sensitivity at the composite sampling cells provided in the archive is typically 0.1 K and ranges up to 0.25 K for the stratospheric channels. Calibration accuracy is estimated at better than 1 K for temperature sounding and better than 2 K for water vapor sounding. Temperature weighting function peaks are distributed between the surface and the flight altitude. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namlarge_1 NAMMA LANGLEY AEROSOL RESEARCH GROUP EXPERIMENT (LARGE) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.98 https://cmr.earthdata.nasa.gov/search/concepts/C1979886290-GHRC_DAAC.umm_json The NAMMA Langley Aerosol Research Group Experiment (LARGE) dataset contains data collected from the following in situ aerosol sensors: condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, and integrating nephelometers. These instruments measure aerosol number density, aerosol size distribution, total scattering and backscattering coefficients. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namlargen_1 NAMMA LANGLEY AEROSOL RESEARCH GROUP EXPERIMENT NAVIGATION DATA V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.1533, 7.03833, -10.5583, 21.9783 https://cmr.earthdata.nasa.gov/search/concepts/C1979886577-GHRC_DAAC.umm_json The NAMMA Langley Aerosol Research Group Experiment Navigation Data is the DC-8 NAV data (ICATS) extracted into columns with time correction. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. This data was used with the LARGE dataset, but may also be used with other NAMMA datasets. It includes the wind speed and wind direction as well as pressure and air temperature information. proprietary +namlase_1 NAMMA LIDAR ATMOSPHERIC SENSING EXPERIMENT (LASE) V1 GHRC_DAAC STAC Catalog 2006-08-15 2006-09-12 -96.5259, 7.0367, -10.5579, 47.8839 https://cmr.earthdata.nasa.gov/search/concepts/C1979887067-GHRC_DAAC.umm_json The NAMMA Lidar Atmospheric Sensing Experiment (LASE) dataset used the LASE system using the Differential Absorption Lidar (DIAL) system was operated during the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign to gather water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Other derived parameters include: relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles, aerosol backscatter, aerosol extinction, and aerosol optical thickness profiles (815 nm). Aerosol data are reported as atmospheric scattering ratios on a logarithmic scale. Water vapor data are reported as mixing ratios (g/kg) on both a linear and logarithmic scale. LASE was operated from the NASA DC-8 aircraft during 14 NAMMA campaign flights between August 15 and September 12, 2006. proprietary +nammms_1 NAMMA DC-8 METEOROLOGICAL MEASUREMENT SYSTEM (MMS) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-12 -34.154, 7.035, -10.557, 21.979 https://cmr.earthdata.nasa.gov/search/concepts/C1979887366-GHRC_DAAC.umm_json The NAMMA DC-8 Meteorological Measurement System (MMS) dataset used the MMS, which consists of three major systems: an air-motion sensing system to measure air velocity with respect to the aircraft, an aircraft-motion sensing system to measure the aircraft velocity with respect to the Earth, and a data acquisition system to sample, process, and record the measured quantities. The air-motion system consists of two airflow-angle probes, three total temperature probes each with a different response time, a pitot-static pressure probe, and a dedicated static pressure system. All probes and sensors are judiciously located at specific positions of the fuselage. The aircraft-motion sensing system consists of an embedded GPS ring laser inertial navigation system, and a multiple-antenna GPS attitude reference system. Customized software was developed to control, sample, and process all sensors and hardware. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namnpol_1 NAMMA NASA POLARIMETRIC DOPPLER WEATHER RADAR (NPOL) V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-30 -19.5413, 12.2132, -14.6547, 17.0998 https://cmr.earthdata.nasa.gov/search/concepts/C1979887556-GHRC_DAAC.umm_json The NAMMA NASA Polarimetric Doppler Weather Radar (NPOL) dataset used the NPOL, developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band research radar that collected and operated nearly continuously during NAMMA. Data was collected 19 August through 30 September 2006, at Kawsara, Senegal. Its continuous operation provides a full volume scan every fifteen minutes. Scans may be either 270 Km long range scans or 150 Km range for most high resolution data scans. Products available include real time PPI scans of reflectivities and velocities, and near real time displays of other radar products, including RHI's, CAPPI's, and Polarimetric products. Browse imagery is available for PPI reflectivities. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namradio_1 NAMMA PRAIA CAPE VERDE RADIOSONDE V1 GHRC_DAAC STAC Catalog 2006-08-18 2006-09-14 -24.5327, 14.6689, -23.4742, 15.2707 https://cmr.earthdata.nasa.gov/search/concepts/C1979887749-GHRC_DAAC.umm_json The NAMMA Praia Cape Verde Radiosonde data used Sippican MarkIIa DGPS (LOS) radiosondes, which were launched in support of NASA African Monsoon Multidisciplinary Analyses (NAMMA) mission. This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. The radiosondes released were Sippican MK-IIa units developed by Lockheed Martin. The atmospheric soundings were used to measure pressure, temperature, humidity, wind direction and speed and spatial coordinates. Data is grouped by ascending and descending flights and includes temperature, Skew-T, trajectory, wind and time series plots. proprietary +namsenegal_1 NAMMA SENEGAL RADIOSONDE AND TOWER FLUX DATA V1 GHRC_DAAC STAC Catalog 2006-08-19 2006-09-17 -17.97, 13.91, 17.09, 15.5 https://cmr.earthdata.nasa.gov/search/concepts/C1979887807-GHRC_DAAC.umm_json The NAMMA Senegal Radiosonde and Tower Flux data includes measurements of humidity, wind speed/direction and velocity. Additionally, the flux data includes photosynthetically active radiation (PAR), air and soil temperature and heat flux data. The flux data was obtained from a tower located in Kawasara, Sengal, Africa. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namsenrg_1 NAMMA SENEGAL RAIN GAUGE NETWORK V1 GHRC_DAAC STAC Catalog 2006-08-08 2006-09-30 -17.1615, 14.1317, -16.4737, 15.2168 https://cmr.earthdata.nasa.gov/search/concepts/C1979887855-GHRC_DAAC.umm_json The NAMMA Senegal Rain Gauge Network consisted of 40 rain gauge sites (AMMA 1-40) located in various places throughout Senegal, West Africa. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. The Rain Gauge Network consisted of the large-scale rain gauge network. The rain gauges collected one-minute accumulation data. The location and photos of each site can be found in an accompanying PDF document: NAMMA_Raingauge_network.pdf. proprietary +namsmart_1 NAMMA SMART-COMMIT MOBILE LABORATORIES V1 GHRC_DAAC STAC Catalog 2006-08-25 2006-09-26 -22.937, 16.731, -22.934, 16.734 https://cmr.earthdata.nasa.gov/search/concepts/C1986175963-GHRC_DAAC.umm_json The NAMMA SMART-COMMIT Mobile Laboratories dataset consists of data obtained from a suite of in situ and remote sensing instruments which measure parameters that characterize constituents of the atmosphere at a given location. The mobile system is comprised of many instruments including radiometers, lidar, particle sizers, gas monitors, meteorological sensors, tethered radiosondes, and others. Parameters measured include radiances, irradiances, back scatter profile, atmospheric state variables, aerosol scattering/absorbing, particle size distribution, trace gas concentrations, and sky images. This dataset also includes many derived products. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namtoga_1 NAMMA TOGA RADAR DATA V1 GHRC_DAAC STAC Catalog 2006-08-15 2006-09-16 -24.8, 13.6, -24.8, 16.4 https://cmr.earthdata.nasa.gov/search/concepts/C1979889418-GHRC_DAAC.umm_json The NAMMA TOGA Radar Data dataset consists of a collection of products derived from the NASA TOGA radar observations that were collected in the Republic of Cape Verde during the NAMMA campaign. The NASA TOGA radar is a C-band scanning radar with a beam width of 1.65 degrees. The radar was deployed on the southern tip of Sao Tiago (14.92N, 23.48W), the southern-most island in the Cape Verde islands. The radar operated nearly continuously from 15 August through 16 September, 2006, collecting measurements of horizontal radar reflectivity (ZH), radial velocity (VR) and spectral width (SW). These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namukatd_1 NAMMA ATD LIGHTNING DATA V1 GHRC_DAAC STAC Catalog 2006-08-14 2006-09-20 -75, -5, 30, 35 https://cmr.earthdata.nasa.gov/search/concepts/C1979889519-GHRC_DAAC.umm_json The NAMMA ATD Lightning data provided by the UK Meterological Office from multiple outstations contains lightning stroke data, latitude and longitude, accuracy and weighting for fading-in flashes of lightning for the African Coast during the NAMMA experiment. Time is determined by the Arrival Time Difference (ATD) of the reporting stations. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary +namzeus_1 NAMMA LIGHTNING ZEUS DATA V1 GHRC_DAAC STAC Catalog 2006-08-01 2006-10-01 -180, -89.8757, 180, 89.9292 https://cmr.earthdata.nasa.gov/search/concepts/C1979889582-GHRC_DAAC.umm_json The NAMMA Lightning ZEUS data is provided by World-ZEUS Long Range Lightning Monitoring Network Data obtained from radio atmospheric signals located at thirteen ground stations spread across the European and African continents and Brazil from August 1, 2006 to October 1, 2006. Lightning activity occurring over a large part of the globe is continuously monitored at varying spatial accuracy (e.g. 10-20 km within and >50 km outside the network periphery) and high temporal (1 msec) resolution. Time is determined by the Arrival Time Difference between the time series from the pairs of the receivers. These data files were generated during support of the NASA African Monsoon Multidisciplinary Analyses (NAMMA) campaign, a field research investigation sponsored by the Science Mission Directorate of the National Aeronautics and Space Administration (NASA). This mission was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. Commencing in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. proprietary nanoplastics-in-forests_1.0 Nanoplastics in forests: Exploring the effects of nanoplastics on forest soils and tree physiology (NanoPlast) ENVIDAT STAC Catalog 2021-01-01 2021-01-01 -23.3789062, 39.6440485, 50.8007813, 68.9131125 https://cmr.earthdata.nasa.gov/search/concepts/C2789816530-ENVIDAT.umm_json The fate of plastic in the environment is of global concern, because its production recently has increased strongly and it accumulates in terrestrial and aquatic ecosystems. Although some knowledge on its role in aquatic and terrestrial ecosystems was gained in the recent decade, hitherto very little is known about the impact of micro and nanoplastics in forest ecosystems. The aim of this pioneering project was to explore if nanoplastics are taken up by forest trees species through leaves or roots. In greenhouse experiments, we exposed leaves or roots of seedling of two forest trees species to solutions with highly 13C-labelled polystyrene nanoparticles (13C-nPS, 99 atom%) and examined if they were incorporated in different above- and belowground tissues. Treated part of the trees for both species showed significant 13C-enrichment, indicating that trees take up nanoparticles. However, the overall 13C signal strength in tissues that were not exposed to the 13C label remained low (Δδ13C<1‰) and was confined to a few seedlings, leaving it ambiguous whether nanoplastic transport occurs or not. We acknowledge that the new method developed might be not sensitive enough to unequivocally detect mechanisms of nanoplastic uptake and transport at environmentally realistic concentrations. proprietary napf-ert-monitoring-data_1.0 Napf ERT monitoring data ENVIDAT STAC Catalog 2022-01-01 2022-01-01 7.81963, 47.02481, 7.81963, 47.02481 https://cmr.earthdata.nasa.gov/search/concepts/C2789816636-ENVIDAT.umm_json The dataset contains the electrical resistivity tomography (ERT) monitoring data from the publication Wicki and Hauck (2022). It contains the unprocessed monitoring data and the filtered monitoring data prior to the inversion process. The data is organized in two zip-files: * Napf_Raw_BIN.zip: Raw monitoring data in bin-format * Napf_Filtered_DAT.zip: Filtered monitoring data in dat-format including topography of the monitoring line The zip files contain the apparent resistivity measurements (ohm m) of the individual measurements. The naming convention of the files is according to following convention: site_profile_configuration_date_time.format The file names contain following abbreviations: * Site: Napf * Profile: Hor (horizontal profile), Ver (vertical profile) * Configuration: WS (Wenner-Schlumberger configuration) * Date: Format YYYY-MM-DD * Time: Format hhmm proprietary napf-soil-wetness-monitoring-data_1.0 Napf soil wetness monitoring data ENVIDAT STAC Catalog 2023-01-01 2023-01-01 7.8153777, 47.0216958, 7.822845, 47.0262011 https://cmr.earthdata.nasa.gov/search/concepts/C3226082639-ENVIDAT.umm_json The dataset contains the soil wetness monitoring data from the publication Wicki et al. (2022). It was collected in Wasen i.E. (Napf area, Switzerland). The monitoring data is quality-controlled and aggregated to hourly values and it is provided for the study period 2019-04-05 to 2022-04-30. The following information is contained (by column): * Timestamp (UTC+1 time zone) * Site: Slope (47.02486 N, 7.81960 E), Flat (47.02302 N, 7.81760 E) * Sensor type * Measure: VWC = volumetric water content [m3 m-3], MP = matric potential [hPa], TEMP = temperature [°C], PREC = precipitation [mm] * Sensor number (per site each sensor is provided a unique identifier) * Installation depth [m] * Homogenization flag: If the data is considered homogeneous, it is given the flag 1, else the flag 0 is given * Sensor value * Normalized value: Normalization was conducted for VWC (saturation) and MP values Wicki, A., Lehmann, P., Hauck, C., and Stähli, M.: Impact of topography on in-situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-211, in review, 2022. proprietary nascent-campaign-data-for-motos-et-al-2023_1.0 NASCENT campaign data for Motos et al. 2023 ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082684-ENVIDAT.umm_json "The data are described in detail in the paper ""Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds"" (https://doi.org/10.5194/egusphere-2023-530, 2023). This dataset includes particle number size distribution data from two DMPSs, chemical composition data from a Tof-ACSM, updraft velocity from an ultrasonic anemometer and a wind lidar, cloud droplet number concentration from a HOLIMO and meteorological data (wind speed and direction, temperature). Note that aerosol composition from a filter pack system, organiccarbon massfrom a high volume sampler and eBC concentration from a MAAP are available on EBAS and therefore not included here" proprietary naturalness-of-protective-forests_1.0 Naturalness of tree species composition in protective forests ENVIDAT STAC Catalog 2023-01-01 2023-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C3226082740-ENVIDAT.umm_json Data and scripts used by Scherrer et al. 2023 in the publication 'Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition'. The analysis is based on data about the tree species composition of the canopy layer in the NFI4 and information about the potential natural forest of the sites based on the NaiS classification system. proprietary nauru99_0 Measurements near Nauru, Micronesia in 1999 OB_DAAC STAC Catalog 1999-06-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360517-OB_DAAC.umm_json Measurements made around the island of Nauru in Micronesia in 1999. proprietary +navdc8cpex_1 DC-8 Navigation Data CPEX GHRC_DAAC STAC Catalog 2017-05-25 2017-06-28 -118.146, 16.8091, -69.2995, 38.1965 https://cmr.earthdata.nasa.gov/search/concepts/C2609922003-GHRC_DAAC.umm_json The DC-8 Navigation Data CPEX dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These measurements were taken from the NASA DC-8 aircraft during the Convective Processes Experiment (CPEX) field campaign. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data files are available from May 25, 2017 through June 28, 2017 in ASCII format. proprietary +navghepoch_1 Global Hawk Navigation EPOCH GHRC_DAAC STAC Catalog 2017-07-27 2017-08-31 -124.437, 16.8153, -83.8438, 37.1057 https://cmr.earthdata.nasa.gov/search/concepts/C2199836135-GHRC_DAAC.umm_json The Global Hawk Navigation EPOCH dataset consists of the real-time navigation and housekeeping data that was acquired by various instruments aboard the Global Hawk during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The data files are available from July 27, 2017 through August 31, 2017 in CSV format with associated KML browse files. proprietary nbi_veg_maps_787_1 SAFARI 2000 NBI Vegetation Map of the Savannas of Southern Africa ORNL_CLOUD STAC Catalog 1968-01-01 2000-12-31 8, -35, 43, 0 https://cmr.earthdata.nasa.gov/search/concepts/C2789726555-ORNL_CLOUD.umm_json The National Botanical Institute (NBI) has mapped woody plant species distribution to provide estimates of individual species contribution to peak leaf area index for designated vegetation types in southern Africa (Rutherford et al., 2000). The target was to account for 80% of the woody vegetation leaf area in terms of named species, for 80% of the surface area of Africa south of the equator. The data sources include published and unpublished species lists for vegetation types and individual sample plots, with the species contribution estimated by local experts in terms of dominants and subdominants. Source maps include: Low and Rebelo (1998); Giess (1971); Wild and Barbosa (1968); Barbosa (1970); and White (1983). Each source map delineates a wide variety of land cover categories that differ from region to region. Because vegetation discontinuities exist along some of the regional borders and a perfectly continuous regional map could not be achieved within the timeframe and budget of the project, the final map is made up of six independent sub-regional maps. A cross-referenced database of woody plant species, in order of species dominance, associated with all mapped units is provided.The data set contains six GIS shapefile archives, each containing a shape file for a given region in southern Africa on a 5 x 5 degree grid. An accompanying ASCII file contains the species list associated with the map files. The regional NBI Vegetation Map (a compilation of the 6 independent sub-regional coverages) is provided as a JPEG image. proprietary ncep_met_1deg_1226_1 ISLSCP II Reanalysis Near-Surface Meteorology Data ORNL_CLOUD STAC Catalog 1986-01-01 1995-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2785343626-ORNL_CLOUD.umm_json "This data set for the ISLSCP Initiative II data collection provides near surface meteorological variables, fluxes of heat, moisture and momentum at the surface, and land surface state variables, all with a spatial resolution of 1 degree in both latitude and longitude. There are four temporal categories of data: time invariant and monthly mean annual cycle fields (together referred to as ""fixed"" fields), monthly mean fields, monthly 3-hourly diurnal, and 3-hourly fields. Two types of variables exist in this data; instantaneous fields (primarily state variables), and average fields (primarily flux fields expressed as a rate). The Center for Ocean-Land Atmosphere Studies (COLA) near-surface data set for ISLSCP II was derived from the National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmospheric Model Inter-comparison Project (AMIP-II) reanalysis (http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/), covering the years from 1979-2003. The data set for ISLSCP II covers the period from 1986 to 1995. The purpose of the reanalysis was to provide an improved version of the original NCEP/National Center for Atmospheric Research (NCAR) reanalysis for General Circulation Model (GCM) validation. To co-register the NCEP/DOE reanalysis on the ISLSCP 1-degree grid, the reanalysis data set was regridded from its native T62 Gaussian grid) resolution (192 x 94 grid boxes globally) to 1-degree ISLSCP II required resolution.There are 136 compressed (.tar.gz) data files with this data set. When extrapolated, the individual data files are in ASCII (.asc) format." proprietary +ncsusndimpacts_1 NCSU Soundings IMPACTS GHRC_DAAC STAC Catalog 2020-02-20 2023-02-12 -78.643, 35.757, -78.623, 35.777 https://cmr.earthdata.nasa.gov/search/concepts/C1995865990-GHRC_DAAC.umm_json The NCSU Soundings IMPACTS dataset consists of atmospheric-sounding data collected by the North Carolina State University student sounding club. These data include vertical profiles of atmospheric temperature, relative humidity, pressure, wind speed, and wind direction. These rawinsondes were launched from Raleigh, NC in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The sounding data files are available in netCDF-4 format for February 20, 2020, from February 12, 2023. proprietary nead_0.1 (public request for comments) Non-Binary Environmental Archive Data (NEAD) format ENVIDAT STAC Catalog 2020-01-01 2020-01-01 8.4546355, 47.3605899, 8.4546355, 47.3605899 https://cmr.earthdata.nasa.gov/search/concepts/C2789815434-ENVIDAT.umm_json "__Acknowledgement__: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format. The NEAD specifications were presented at the __""WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century"" (Virtual Conference)__. ----------------------- __Summary:__ The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories. __License:__ The NEAD specifications are released to the public domain under a Creative Commons CC0 ""No Rights Reserved"" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions." proprietary neophyte-risk-map-ticino_1.0 Presence probability risk maps neophyte Ticino ENVIDAT STAC Catalog 2023-01-01 2023-01-01 8.4320068, 45.822898, 9.1255188, 46.5605915 https://cmr.earthdata.nasa.gov/search/concepts/C3226082886-ENVIDAT.umm_json 943 disturbances in the forest of southern Switzerland have been visited and characterized with various general and specific parameters and the presence absence of woody neophyte species has also been recorded. A Generalized linear regression modelling approach with a binomial family (link function “logit”) was then used to analyse the effects of these parameters on the presence/absence of the six most widespread neophyte species separately (i.e Ailanthus altissima, Buddleja davidii, R. pseudoacacia, Paulownia tomentosa, Prunus laurocerasus, Trachycarpus fortunei). If needed, the models were refitted with the spmodel R-package to account for the spatial dependence. The best model for every species have been used to predict the risk of invasion on a 25 X 25m grid of 1’773’603 million of points covering the entire forest area under 1’500 m a.s.l. Predictions over this new set of points have been computed with the predict function (v4.2.1; R core Team, 2023) and using the best select model for every neophyte species. The resulting prediction are available as a raster tiff. These presence probability risk maps for the forest area of the entire canton Ticino provide a practical tool to be used in combination with the waldmonitoring.ch data allowing to efficiently monitor the spread of woody neophyte species in new disturbances in the forest. proprietary net-primary-productivity-npp-anomalies-simulated-by-3-pg-model-for-switzerland_1.0 Net primary productivity (NPP) anomalies simulated by 3-PG model for Switzerland ENVIDAT STAC Catalog 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815930-ENVIDAT.umm_json Simulated net primary productivity (NPP) anomalies (percent deviation) in 1961-2018 years relative to the 1961–1990 reference period for _Picea abies_ and _Fagus sylvatica_. NPP was simulated for the species' potential distribution range in Switzerland on a 1 × 1 km grid using 3-PG model. We first assimilated nearly 800 observation years from 271 permanent long-term forest monitoring plots across Switzerland, obtained between 1980 and 2017, into the 3-PG forest ecosystem model using Bayesian inference, reducing the bias of model predictions from. We then estimated the NPP anomalies by first simulating the growth of _P. abies_ and _F. sylvatica_ monocultures with the average climate observed during the 1961–1990 period, until the age of 40 years (spin-up). The stands were simulated starting as 2-year-old plantations with an initial density of 10,000 trees/ha. Thinning was performed at age 20 and 35 to reach a final density of ca. 1,000 trees/ha at age 40. We then simulated 30 years forced by monthly resolved climatic data from either the 1961–1990 (reference, according to MeteoSwiss) or the 1991–2018 period. We neglected the first 40 years of simulations due to high variation in productivity caused by early stage stand development. To study the impact of climate extremes on NPP, we focused on the deviation in NPP (expressed in percentage difference from the reference period) during the 30 year period (age 41–70). proprietary @@ -14411,6 +12732,8 @@ net_carbon_flux_662_1 Net Carbon Dioxide and Water Fluxes of Global Terrestrial net_increment-80_1.0 Net increment ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815660-ENVIDAT.umm_json Increment including ingrowth minus the mortality. The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary net_increment_star-187_1.0 Net increment* ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789815851-ENVIDAT.umm_json Increment with ingrowth minus the mortality. *In the calculation no D7/tree height data were used. The values calculated like this have not been corrected for bias, but allow for cantons or forest districts a more robust estimation of changes and could thus be better interpreted. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary newcomb_bay_bathy_dem_1 A bathymetric Digital Elevation Model (DEM) of Newcomb Bay, Windmill Islands AU_AADC STAC Catalog 1997-02-01 2000-02-05 110.512, -66.282, 110.566, -66.256 https://cmr.earthdata.nasa.gov/search/concepts/C1214311215-AU_AADC.umm_json A Digital Elevation Model (DEM) of Newcomb Bay, Windmill Islands and terrestrial and bathymetric contours derived from the DEM. The data is stored in a UTM zone 49(WGS-84) projection. Heights are referenced to mean sea level. It was created by interpolation of point data using Kriging. The input point data comprised soundings and terrestrial contour vertices. THE DATA IS NOT FOR NAVIGATION PURPOSES. proprietary +nexeastimpacts_1 NEXRAD Mosaic East IMPACTS V1 GHRC_DAAC STAC Catalog 2019-12-31 2020-02-29 -85, 32.5, -67.525, 46.475 https://cmr.earthdata.nasa.gov/search/concepts/C1995866059-GHRC_DAAC.umm_json The NEXRAD Mosaic East IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) 3D mosaic files created from Level II surveillance data gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The Mosaic East dataset is composed of Level II data from 19 NEXRAD sites in the eastern U.S.. These data files are available in netCDF-4 format and contain meteorological and dual-polarization base data quantities including radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio from January 1 through February 29, 2020. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary +nexmidwstimpacts_1 NEXRAD Mosaic Midwest IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-01 2020-02-29 -93, 36, -79.025, 45.975 https://cmr.earthdata.nasa.gov/search/concepts/C1995866123-GHRC_DAAC.umm_json The NEXRAD Mosaic Midwest IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) 3D mosaic files created from Level II surveillance data gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The Mosaic Midwest dataset is composed of Level II data from 11 NEXRAD sites in the midwestern U.S. These data files are available in netCDF-4 format and contain meteorological and dual-polarization base data quantities including radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio from January 1 through February 29, 2020. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign. proprietary niche-partitioning-between-wild-bees-and-honeybees_1.0 Niche partitioning between wild bees and honeybees ENVIDAT STAC Catalog 2021-01-01 2021-01-01 8.4299469, 47.3172277, 8.6949921, 47.4130345 https://cmr.earthdata.nasa.gov/search/concepts/C2789816101-ENVIDAT.umm_json "Cities are socio-ecological systems that filter and select species, thus establishing unique species assemblages and biotic interactions. Urban ecosystems can host richer wild bee communities than highly intensified agricultural areas, specifically in resource-rich urban green spaces such as allotment and family gardens. At the same time, urban beekeeping has boomed in many European cities, raising concerns that the fast addition of a large number of managed bees could deplete the existing floral resources, triggering competition between wild bees and honeybees. The data has been used to investigated the interplay between resource availability and the number of honeybees at local and landscape scales and how this relationship influences wild bee diversity. This dataset contains the raw and processed data supporting the findings from the paper: ""Low resource availability drives feeding niche partitioning between wild bees and honeybees in a European city"". The data contains: 1. Bee trait measurements at the species and individual-level of five functional traits. 2. The values of the feeding niche partitioning (functional dissimilarity to honeybees) 3. The predictors of resource availability and beekeeping intensity at local and landscape scales used in the modelling of the paper for the 23 experimental sites." proprietary nitrogen_deposition_730_1 Nitrogen Deposition onto the United States and Western Europe ORNL_CLOUD STAC Catalog 1987-01-01 1994-12-31 -124, 25, 44.5, 70.5 https://cmr.earthdata.nasa.gov/search/concepts/C2776873201-ORNL_CLOUD.umm_json This data set contains data for wet and dry nitrogen-species deposition for the United States and Western Europe. Deposition data were acquired directly from monitoring programs in the United States and Europe for time periods from 1978-1994 for wet deposition and from 1989-1994 for dry deposition and evaluated using similar quality assurance criteria to ensure comparability. A standard geostatistical method (kriging) was used to interpolate data onto a 0.5 x 0.5 degree resolution map for wet and dry deposition. proprietary nlcd_1992_2001_retrofit_Not provided NLCD 1992/2001 Retrofit Land Cover Change Product USGS_LTA STAC Catalog 1992-01-01 2001-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567922-USGS_LTA.umm_json "Developments in mapping methodology, new sources of input data, and changes in the mapping legend for the 2001 National Land Cover Database (NLCD2001) will confound any direct comparison between NLCD2001 and National Land Cover Dataset 1992 (NLCD1992). Users are cautioned that direct comparison of these two independently created land cover products is not recommended. This NLCD 1992/2001 Retrofit Land Cover Change Product was developed to offer users more accurate direct change analysis between the two products. The NLCD 1992/2001 Retrofit Land Cover Change Product uses a specially developed methodology to provide land cover change information at the Anderson Level I classification scale (Anderson et al., 1976*), relying on decision tree classification of Landsat satellite imagery from circa 1992 and 2001. Unchanged pixels between the two dates are coded with the NLCD01 Anderson Level I class code, while changed pixels are labeled with a ""from-to"" land cover change value. Additional details about this product are available in the metadata included in the multi-zone downloadable zip file. This product is designed for regional application only and is not recommended for local scales." proprietary @@ -14418,7 +12741,9 @@ nlcd_1992_Not provided National Land Cover Data set 1992 (NLCD1992) USGS_LTA STA nlcd_2001_ver_2_Not provided NLCD 2001 Version 2 USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567915-USGS_LTA.umm_json National Land Cover Database 2001 (NLCD2001) is a 16-class (additional four classes in Alaska only) land cover classification scheme that has been applied consistently across all 50 United States and Puerto Rico at a spatial resolution of 30 meters. NLCD2001 is based primarily on the unsupervised classification of Landsat Enhanced Thematic Mapper+ (ETM+) circa 2001 satellite data. NLCD2001 improves on NLCD92 in that it is comprised of three different elements: land cover, percent developed impervious surface and percent tree canopy density. NLCD2001 also uses improved classification algorithms, which have resulted in data with more precise rending of spatial boundaries between the land cover classes. proprietary nlcd_2006_Not provided National Land Cover Database 2006 (NLCD2006) USGS_LTA STAC Catalog 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567921-USGS_LTA.umm_json National Land Cover Database 2006 (NLCD2006) is a 16-class land cover classification scheme that has been applied consistently across the conterminous United States at a spatial resolution of 30 meters. NLCD2006 is based primarily on the unsupervised classification of Landsat Enhanced Thematic Mapper+ (ETM+) circa 2006 satellite data. NLCD2006 also quantifies land cover change between the years 2001 to 2006. The NLCD2006 land cover change product was generated by comparing spectral characteristics of Landsat imagery between 2001 and 2006, on an individual path/row basis, using protocols to identify and label change based on the trajectory from NLCD2001 products. It represents the first time this type of 30 meter resolution land cover change product has been produced for the conterminous United States. proprietary noaa_albedo_5year-av_xdeg_959_1 ISLSCP II NOAA 5-year Average Monthly Snow-free Albedo from AVHRR ORNL_CLOUD STAC Catalog 1985-04-01 1991-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2784885509-ORNL_CLOUD.umm_json The objective of this work was to produce a monthly climatology of broadband surface albedos for use in global numerical weather prediction models at the National Centers for Environmental Prediction (NCEP). Monthly means of clear-sky, surface, broadband, snow-free albedos for overhead sun illumination angle were determined using data from a five-year period from April 1985-December 1987 and January 1989-March 1991. The data set is compatible in temporal coverage and spatial resolution with a monthly climatology of green vegetation fraction (Gutman and Ignatov, 1998) delivered earlier and currently in use at NCEP. Three zip files are provided at three spatial resolutions of quarter, half and on degree, each containing 12 data files in standard ESRI ArcGIS ArcInfo Grid format, and 12 data files in ASCII format denoting defifferences between the original data set and the ISLSCP II Land Sea Mask. proprietary +noaasndimpacts_1 NOAA Soundings IMPACTS GHRC_DAAC STAC Catalog 2020-01-01 2023-03-01 -98.4233, 27.6953, -68.0036, 48.5747 https://cmr.earthdata.nasa.gov/search/concepts/C1995866540-GHRC_DAAC.umm_json The NOAA Soundings IMPACTS dataset was collected from January 1, 2020, through March 1, 2023, during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. The goal of IMPACTS was to provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. These radiosonde data files include wind direction, dew point temperature, geopotential height, mixing ratio, atmospheric pressure, relative humidity, wind speed, temperature, potential temperature, equivalent potential temperature, and virtual potential temperature measurements at various levels of the troposphere. The data are available in netCDF-4 format. proprietary non-native-native-plant-interactions-in-australian-grasslands_1.0 Native and no-native plant interactions in Australian grasslands ENVIDAT STAC Catalog 2021-01-01 2021-01-01 149.3701172, -37.2418448, 150.4083252, -36.2382181 https://cmr.earthdata.nasa.gov/search/concepts/C2789816323-ENVIDAT.umm_json This dataset contains all data, on which the following publication below is based. __Paper Citation:__ _Schlierenzauer, C., Risch, A.C., Schütz, M., Firn, J. 2021. Non-native Eragrostis curvula reduces plant species diversity in pastures of South-eastern Australia even when native Themeda triandra remains co-dominant. Plants 10, 596._ __Please cite this paper together with the citation for the datafile.__ Study area The study was conducted in the lowland grassy woodlands of the Bega Valley Region, which is located in the south-east corner of New South Wales, Australia. Embedded between the Pacific Ocean and the Australian Alps, the lowland grassy woodlands are mostly located on granitic substrates and reach elevations of roughly 500 m above sea level. Typically, these grassy woodlands receive less precipitation (mean annual precipitation between 700-1100 mm) compared to the more elevated areas that surround them (NSW Government - Office of Environment and Heritage 2017). The vegetation is dominated by an open tree canopy layer consisting of Eucalyptus tereticornis Sm, Angophora floribunda Sm. (Sweet) and a range of other eucalypt species. Sometimes shrub or small trees are also present, whereas grasses and forbs form the ground-cover. In areas without intensive agricultural history, this layer is dominated by perennial, tussock grasses such as Themeda triandra Forssk, Microlaena stipoides R.Br (Weeping Grass), Eragrostis leptostachya Steud. (Paddock Lovegrass) and Echinopogon ovatus P.Beauv (Forest Hedgehog Grass). The remaining inter-tussock spaces are occupied by a diversity of growth-restricted grasses and herbaceous forbs (NSW - Department of Planing, Industries and Environment 2019; NSW Government - Office of Environment and Heritage 2017). Clearing, pasture sowing, fertilizer application and livestock grazing resulted in a dramatic decrease in the extent of these natural woodlands, with less than five percent within conservation reserves and overall, with only about 20% of their original extent in New South Wales still existing (Tozer et al. 2010). The remaining areas outside of reserves are threatened by altered fire frequencies, habitat clearing, livestock grazing and especially by non-native plant invasion, particularly Eragrostis curvula (Schrad.) Nees. For this reason, the grassy woodlands are listed as an endangered ecological community in the NSW state legislation. Additionally, they are considered as critically endangered by the Commonwealth of Australia (Threatened Species Scientific Committee (TSSC) 2013). Experimental design and sampling The study was conducted on six farms and in each of them two sites were chosen, representing a paired design. One of the sites at each farm is dominated by native Themeda triandra, the other one co-dominated by non-native Eragrostis curvula and Themeda triandra. All farms are within a radius of approximately 10 km from the town Candelo. Three of the farms are located North (36°40’ to 36°42’ S and 149°38’ to 149°42’ E) and three of them are located South (36°51’ to 36°49’ S and 149°38’ to 149°42’ E) of Candelo. Non-native herbivores (mainly cattle, sheep and rabbits) and native herbivorous marsupials (mainly kangaroos, wallabies and wombats) are present in the area of these sites. On each site, data was collected within four plots (each 1 x 1 m) in May and November 2020. All plant species found within a plot were recorded and their relative abundance was estimated. References NSW - Department of Planing, Industries and Environment. 2019. “Lowland Grassy Woodland in the South East Corner Bioregion - Endangered Ecological Community Listing.” https://www.environment.nsw.gov.au/topics/animals-and-plants/threatened-species/nsw-threatened-species-scientific-committee/determinations/final-determinations/2004-2007/lowland-grassy-woodland-south-east-corner-bioregion-endangered-ecological-community-l (February 18, 2021). NSW Government - Office of Environment and Heritage. 2017. “Lowland Grassy Woodland in the South East Corner Bioregion - Profile.” https://www.environment.nsw.gov.au/threatenedSpeciesApp/profile.aspx?id=20070 (January 31, 2021). Threatened Species Scientific Committee (TSSC). 2013. Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) Conservation Advice for Lowland Grassy Woodland in the South East Corner Bioregion. http://www.environment.gov.au/biodiversity/threatened/communities/pubs/82-conservation-advice.pdf. Tozer, Mark et al. 2010. “Native Vegetation of Southeast NSW: A Revised Classification and Map for the Coast and Eastern Tablelands.” Cunninghamia : a journal of plant ecology for eastern Australia 11(3): 359–406. proprietary +npolimpacts_1 NASA S-Band Dual Polarimetric Doppler Radar (NPOL) IMPACTS V1 GHRC_DAAC STAC Catalog 2020-01-10 2020-02-25 -76.8875, 37.0488, -73.7959, 39.4762 https://cmr.earthdata.nasa.gov/search/concepts/C1995867554-GHRC_DAAC.umm_json The NASA S-Band Dual Polarimetric (NPOL) Doppler Radar IMPACTS dataset consists of rain rate, reflectivity, Doppler velocity, and other radar measurements obtained from the NPOL radar during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. The goal of IMPACTS was to provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The IMPACTS NPOL data are available from January 10, 2020 thru February 25, 2020. Zipped data files are in netCDF-3/CF format and contain corrected radar reflectivity, differential reflectivity, specific differential phase, differential phase, co-polar correlation, and Doppler velocity images. proprietary ns0012bq_482_1 BOREAS NS001 TMS Level-2 Images: Reflectance and Temperature in BSQ Format ORNL_CLOUD STAC Catalog 1994-04-19 1994-09-16 -106.32, 53.42, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2929136513-ORNL_CLOUD.umm_json This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI. Collection of the NS001 images occurred over the study areas during the 1994 field campaigns. The Level-2 NS001 data are atmospherically corrected versions of some of the best original NS001 imagery and cover the dates of 19-Apr-1994, 07-Jun-1994, 21-Jul-1994, 08-Aug-1994, and 16-Sep-1994. proprietary ns001bil_440_1 BOREAS NS001 TMS Level-0 Images in BIL Format ORNL_CLOUD STAC Catalog 1994-05-24 1994-09-19 -106.32, 53.42, -97.23, 56.25 https://cmr.earthdata.nasa.gov/search/concepts/C2929070415-ORNL_CLOUD.umm_json The NS001 TMS imagery, along with the other remotely sensed images, was collected in order to provide spatially extensive information over the primary study areas. This information includes detailed land cover and biophysical parameter maps such as fPAR and LAI. Data collections occurred over the study areas during the 1994 field campaigns. proprietary nsafcovr_252_1 BOREAS Forest Cover Layers of the NSA in Raster Format ORNL_CLOUD STAC Catalog 1988-01-01 1992-12-31 -98.82, 55.72, -97.83, 56.07 https://cmr.earthdata.nasa.gov/search/concepts/C2807622831-ORNL_CLOUD.umm_json Processed by BORIS staff from the original vector data of species, crown closure, cutting class, and site classification/subtype into raster files. proprietary @@ -14429,26 +12754,34 @@ number_of_woody_species_from_40_cm_height-144_1.0 Number of woody species (from number_of_woody_species_gt_12_cm_dbh-41_1.0 Number of woody species (>= 12 cm DBH) ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816627-ENVIDAT.umm_json Number of tree and shrub species starting at 12 cm dbh (diameter at breast height) within the 200 m2 sample plot. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary number_of_young_forest_plants_by_damage-209_1.0 Number of young forest plants by damage ENVIDAT STAC Catalog 2018-01-01 2018-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789816738-ENVIDAT.umm_json Number of regeneration trees starting at 10 cm height up to 11.9 cm dbh with a particular type of damage or with no damage. The attribute is recorded by targeting the next regeneration tree in the centre of the subplot during NFI’s regeneration survey. A regeneration tree may have more than one type of damage, which means it may contribute to the total number of regeneration trees for several different types of damage. __Citation:__ > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_ proprietary nutrient-addition-stillberg_1.0 Nutrient addition experiment at the Alpine treeline site Stillberg, Switzerland ENVIDAT STAC Catalog 2023-01-01 2023-01-01 9.867544, 46.7716544, 9.867544, 46.7716544 https://cmr.earthdata.nasa.gov/search/concepts/C3226082769-ENVIDAT.umm_json # Background information The availability of nitrogen (N) and phosphorus (P) is considered to be a major factor limiting growth and productivity in terrestrial ecosystems globally. This project aimed to determine whether the growth stimulation documented in previous short‐term fertilisation trials persisted in a longer‐term study (12 years) in the treeline ecotone, and whether possible negative effects of nutrient addition offset the benefits of any growth stimulation. Over the course of the 12 study years, NPK fertiliser corresponding to 15 or 30 kg N ha−1 a−1 was added annually to plots containing 30‐year‐old *Larix decidua* or 32‐year-old *Pinus uncinata* individuals with an understorey of mainly ericaceous dwarf shrubs. To quantify growth, annual shoot increments of trees and dwarf shrubs as well as radial growth increments of trees were measured. Nutrient concentrations in the soil were also measured and the foliar nutritional status of trees and dwarf shrubs was assessed. # Experimental design Over an elevation gradient of 140 m across the treeline afforestation site Stillberg, 22 locations were chosen that covered the whole range of microenvironmental conditions (*see* Nutrient addition experimental design.png). Half of the blocks included European larch (*L. decidua*) and the other half included mountain pine (*P. uncinata*). Within each block, three plantation quadrats were randomly selected as experimental plots and each plot was assigned to a control (no fertilisation) or to one of two fertiliser dose treatments (15 kg and 30 kg N ha−1 a−1). Treatments were assigned randomly but confined so that the location of fertilised plots within a block was not directly above control plots to avoid nutrient input from drainage. For details about the experiment, *see* Möhl et al (2019). # Data description The available datasets contain climate variables (2004-2016), nutrient isotope measurements (2010 & 2016), shrub growth measurements (2004-2016), soil parameter measurements and annual ring and shoot measurements (2004-2016). All data can be found here: