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index 7ac43279a..7e7e728e4 100644
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index f0f191271..b942a16da 100644
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index 21ac2a3eb..61b8484e0 100644
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index 151475c37..9f3933c05 100644
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index 7ef53b445..cfc0d4842 100644
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index 91a155bbe..b7e19de50 100644
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diff --git a/datasets/Country_SOC_Latin_America_1615_1.json b/datasets/Country_SOC_Latin_America_1615_1.json
index f13585560..4be1768fc 100644
--- a/datasets/Country_SOC_Latin_America_1615_1.json
+++ b/datasets/Country_SOC_Latin_America_1615_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/CubeSat_Arctic_Boreal_LakeArea_1667_1.json b/datasets/CubeSat_Arctic_Boreal_LakeArea_1667_1.json
index 2b1245fd6..89e2e8d8a 100644
--- a/datasets/CubeSat_Arctic_Boreal_LakeArea_1667_1.json
+++ b/datasets/CubeSat_Arctic_Boreal_LakeArea_1667_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/Daymet_SubDaily_Puerto_Rico_1977_1.json b/datasets/Daymet_SubDaily_Puerto_Rico_1977_1.json
index c4888a387..341ba789d 100644
--- a/datasets/Daymet_SubDaily_Puerto_Rico_1977_1.json
+++ b/datasets/Daymet_SubDaily_Puerto_Rico_1977_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/Forest_Inventory_Tapajos_1552_1.json b/datasets/Forest_Inventory_Tapajos_1552_1.json
index 7d36cdaba..ee2ce4d83 100644
--- a/datasets/Forest_Inventory_Tapajos_1552_1.json
+++ b/datasets/Forest_Inventory_Tapajos_1552_1.json
@@ -42,7 +42,7 @@
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@@ -53,7 +53,7 @@
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diff --git a/datasets/GEDI_HighQuality_Shots_Rasters_2339_1.json b/datasets/GEDI_HighQuality_Shots_Rasters_2339_1.json
index 4ea625fc2..42245f001 100644
--- a/datasets/GEDI_HighQuality_Shots_Rasters_2339_1.json
+++ b/datasets/GEDI_HighQuality_Shots_Rasters_2339_1.json
@@ -95,7 +95,7 @@
     "license": "proprietary",
     "assets": {
         "browse": {
-            "href": "https://daac.ornl.gov/GEDI/guides/GEDI_HighQuality_Shots_Rasters_Fig1.jpg",
+            "href": "https://daac.ornl.gov/VEGETATION/guides/GEDI_HighQuality_Shots_Rasters_Fig1.jpg",
             "type": "image/jpeg",
             "title": "Download GEDI_HighQuality_Shots_Rasters_Fig1.jpg",
             "roles": [
@@ -103,7 +103,7 @@
             ]
         },
         "thumbnail": {
-            "href": "https://daac.ornl.gov/GEDI/guides/GEDI_HighQuality_Shots_Rasters_Fig1.jpg",
+            "href": "https://daac.ornl.gov/VEGETATION/guides/GEDI_HighQuality_Shots_Rasters_Fig1.jpg",
             "title": "Thumbnail",
             "description": "Mean foliage height diversity of GEDI shots acquired from April 2019 to March 2023 aggregated in 6-km grid cells.",
             "roles": [
@@ -111,7 +111,7 @@
             ]
         },
         "ornl": {
-            "href": "https://daac.ornl.gov/daacdata/gedi/GEDI_HighQuality_Shots_Rasters/",
+            "href": "https://daac.ornl.gov/daacdata/global_vegetation/GEDI_HighQuality_Shots_Rasters/data/",
             "title": "Direct Download",
             "description": "This link allows direct data access via Earthdata login",
             "roles": [
@@ -126,9 +126,9 @@
                 "metadata"
             ]
         },
-        "s3_ornl_cumulus_prod_protected_gedi_GEDI_HighQuality_Shots_Rasters_": {
-            "href": "s3://ornl-cumulus-prod-protected/gedi/GEDI_HighQuality_Shots_Rasters/",
-            "title": "ornl_cumulus_prod_protected_gedi_GEDI_HighQuality_Shots_Rasters_",
+        "s3_ornl_cumulus_prod_protected_global_vegetation_GEDI_HighQuality_Shots_Rasters_": {
+            "href": "s3://ornl-cumulus-prod-protected/global_vegetation/GEDI_HighQuality_Shots_Rasters/",
+            "title": "ornl_cumulus_prod_protected_global_vegetation_GEDI_HighQuality_Shots_Rasters_",
             "roles": [
                 "data"
             ]
diff --git a/datasets/High_Res_Tidal_Marsh_Veg_1609_1.json b/datasets/High_Res_Tidal_Marsh_Veg_1609_1.json
index 18fb1f5d7..5b8d07765 100644
--- a/datasets/High_Res_Tidal_Marsh_Veg_1609_1.json
+++ b/datasets/High_Res_Tidal_Marsh_Veg_1609_1.json
@@ -42,7 +42,7 @@
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index 105b18afd..7b611c92e 100644
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index 87b4fea67..656701fad 100644
--- a/datasets/NACP_Vista_LA_CH4_Inventory_1525_1.json
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diff --git a/datasets/NPP_WBW_819_2.json b/datasets/NPP_WBW_819_2.json
index f884756d7..7ce7f3abd 100644
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index ff633bc39..b3eb87b1e 100644
--- a/datasets/Nongrowing_Season_CO2_Flux_1692_1.json
+++ b/datasets/Nongrowing_Season_CO2_Flux_1692_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/PAD_2011_1133_2.json b/datasets/PAD_2011_1133_2.json
index cbd5d1653..739d2406f 100644
--- a/datasets/PAD_2011_1133_2.json
+++ b/datasets/PAD_2011_1133_2.json
@@ -42,7 +42,7 @@
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index 96d3e8822..e49c695c7 100644
--- a/datasets/PAD_935_1.json
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index a2cbdc03f..cf824d0a0 100644
--- a/datasets/SNF_CJ_SITES_187_1.json
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--- a/datasets/SNF_CJ_VEG_189_1.json
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index 6bbf266f9..61479b01e 100644
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index a1f79abfa..4effd2d5b 100644
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index f3ff01cb7..3de1ed1ad 100644
--- a/datasets/SNF_LEAF_TMS_184_1.json
+++ b/datasets/SNF_LEAF_TMS_184_1.json
@@ -42,7 +42,7 @@
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index 124deba28..4bc362002 100644
--- a/datasets/SNF_NS001_185_1.json
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@@ -42,7 +42,7 @@
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index f882e65f9..bad573ff8 100644
--- a/datasets/SNF_SAT_INV_186_1.json
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@@ -42,7 +42,7 @@
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index 4c3ccde7c..f07b04cf8 100644
--- a/datasets/SNF_SITECOMP_179_1.json
+++ b/datasets/SNF_SITECOMP_179_1.json
@@ -42,7 +42,7 @@
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diff --git a/datasets/SNF_SITE_86_188_1.json b/datasets/SNF_SITE_86_188_1.json
index 573c60d8b..cca7fcc95 100644
--- a/datasets/SNF_SITE_86_188_1.json
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@@ -42,7 +42,7 @@
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index 73d883000..509c94f8b 100644
--- a/datasets/SNF_TAB3_3T_182_1.json
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@@ -42,7 +42,7 @@
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diff --git a/datasets/SNF_UND_CVR_181_1.json b/datasets/SNF_UND_CVR_181_1.json
index 6fbf12a40..588c5f490 100644
--- a/datasets/SNF_UND_CVR_181_1.json
+++ b/datasets/SNF_UND_CVR_181_1.json
@@ -42,7 +42,7 @@
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index fff743bb9..87e86e8c5 100644
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index 1aa8d0753..7c6ee0137 100644
--- a/datasets/SOC_Stocks_Great_Plains_1603_1.json
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index 22d3d2642..fd5530acc 100644
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index b754ed6c0..e50010dac 100644
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@@ -42,7 +42,7 @@
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index 1446c4998..fee0fc043 100644
--- a/datasets/Snow_Wildlife_Tracks_AK_WA_2188_1.json
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index 39a99ab2e..4cc8e2e0f 100644
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index 452ce80e3..46b21c049 100644
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index 315c30aed..9204abe98 100644
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index f669f8edc..b2486d59a 100644
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diff --git a/datasets/Tidal_Wetland_Soil_Carbon_1612_1.json b/datasets/Tidal_Wetland_Soil_Carbon_1612_1.json
index 1a388b1ee..f61d08255 100644
--- a/datasets/Tidal_Wetland_Soil_Carbon_1612_1.json
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@@ -42,7 +42,7 @@
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index e59ef726c..e304f1a59 100644
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index b19301b62..9f9859b35 100644
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index 1db9c9f90..a5f40f2c5 100644
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diff --git a/datasets/Tree_Mortality_Western_US_1512_1.1.json b/datasets/Tree_Mortality_Western_US_1512_1.1.json
index acc0c5766..61d8775f9 100644
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index 8812e6489..aa4ff714d 100644
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index a5ee5b97c..97caa9e9b 100644
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index bcecf6de5..b72c6017d 100644
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index 2f47cc243..0a8605431 100644
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index b954fc06e..8957129b7 100644
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diff --git a/datasets/UAVSAR_INSAR_META_1.json b/datasets/UAVSAR_INSAR_META_1.json
index 389fc4452..bdc5e6aa1 100644
--- a/datasets/UAVSAR_INSAR_META_1.json
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@@ -42,7 +42,7 @@
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index ca85fcba7..4539b7c6f 100644
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index b1c3acb73..f6e8db6b8 100644
--- a/datasets/UAVSAR_POL_ML_CMPLX_SLANT_1.json
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index bc7262a4b..7f210c503 100644
--- a/datasets/UAVSAR_POL_PAULI_1.json
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@@ -42,7 +42,7 @@
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index 100e2e86a..075c8a970 100644
--- a/datasets/UAVSAR_POL_SLOPE_1.json
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index abf7baad4..6b9d0979d 100644
--- a/datasets/UAVSAR_POL_STOKES_1.json
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index a5cb9b8a1..51c87f99c 100644
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index 8845ae482..6e0341696 100644
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diff --git a/datasets/Vulcan_V3_Hourly_Emissions_1810_1.json b/datasets/Vulcan_V3_Hourly_Emissions_1810_1.json
index 1c86c27ac..57d3bb1cd 100644
--- a/datasets/Vulcan_V3_Hourly_Emissions_1810_1.json
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@@ -42,7 +42,7 @@
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index 699959591..2908ec7de 100644
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index 424e07f68..13a7534a0 100644
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index 2978d4358..6ca66107f 100644
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diff --git a/datasets/ffo_Betts_1987-1989_afd_93_1.json b/datasets/ffo_Betts_1987-1989_afd_93_1.json
index 1d430cc8e..5478845c8 100644
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@@ -42,7 +42,7 @@
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index e44f6195f..46718cdfc 100644
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index 8207494f1..eb3315afa 100644
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index 11815cf04..5df9e8e33 100644
--- a/datasets/fife_hydrology_strm_st_120_1.json
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index abdb9877c..9743160bb 100644
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index aba857272..29523ecc3 100644
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index a4edf3b80..a5deefbcb 100644
--- a/datasets/fife_soilmstr_sm_tran_113_1.json
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@@ -42,7 +42,7 @@
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index 5206bdba7..1fcc707ea 100644
--- a/datasets/fife_soilmstr_soil_imp_108_1.json
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index 119506bbf..dca11b632 100644
--- a/datasets/fife_soilprop_soil_h2o_117_1.json
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index e554400e3..21d6b5eb1 100644
--- a/datasets/fife_soilprop_soil_rel_112_1.json
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@@ -42,7 +42,7 @@
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index 87dc83f14..d891f1ad1 100644
--- a/datasets/fife_soilprop_soildens_104_1.json
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diff --git a/datasets/fife_soilprop_soilhydc_107_1.json b/datasets/fife_soilprop_soilhydc_107_1.json
index 9feff9e2b..17f3bdbbf 100644
--- a/datasets/fife_soilprop_soilhydc_107_1.json
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@@ -42,7 +42,7 @@
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index 8dbad7529..b661b154c 100644
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index 4610e49a1..49e6a07e6 100644
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index 534280760..de222f3c3 100644
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index b08c1796a..2c7c91422 100644
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index 4ae3db435..7f43242fd 100644
--- a/datasets/fife_sur_refl_soilrefl_114_1.json
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index a4836419b..e9feb755f 100644
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index c559b5569..b273cffad 100644
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index aa549d665..ae105137e 100644
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index da951483c..d8f728868 100644
--- a/datasets/level_2_seasonal_co2_1198_1.json
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diff --git a/datasets/plotspec_544_1.json b/datasets/plotspec_544_1.json
index 06b0936b7..94e0daadf 100644
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index 1352805d6..2db4125bf 100644
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index 4a10236d5..1c9cf68c7 100644
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index 1d8913807..065752996 100644
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index e3b2ef63e..c8421a389 100644
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index 2bd1a4280..6c22b0f67 100644
--- a/datasets/vemap-1_geog_222_1.json
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@@ -42,7 +42,7 @@
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index 53c392cb2..c16525840 100644
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index d046c7fcb..12e2cbeb3 100644
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index 61d5ddaea..9003b7529 100644
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diff --git a/datasets/vemap-1_veg_225_1.json b/datasets/vemap-1_veg_225_1.json
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index db7db1adf..68e112e59 100644
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index bad6fb1d5..caf0b50e6 100644
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index 92f069839..9fea05090 100644
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index 815d54296..1597ca49c 100644
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index 56f5a4c27..6d2e775f4 100644
--- a/datasets/vemap-2_TSCENARIO_monthly_567_1.json
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index 0f7858c2b..7d05da843 100644
--- a/datasets/vemap-2_results_annual_766_1.json
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index 530ada27a..7b8fcb7eb 100644
--- a/datasets/vemap-2_results_monthly_767_1.json
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index 8b65b667c..31e2f295d 100644
--- a/nasa_cmr_catalog.json
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         "description": "This dataset provides gridded estimates of carbon dioxide (CO2) emissions from soil respiration occurring within permafrost-affected tundra and boreal ecosystems of Alaska and Northwest Canada at a 300 m spatial resolution for the period 2016-08-18 to 2018-09-12. The estimates include monthly average CO2 flux (gCO2 C m-2 d-1), daily average CO2 flux and error estimates by season (Autumn, Winter, Spring, Summer), estimates of annual offset of CO2 uptake (i.e., vegetation GPP), annual budgets of vegetation gross primary productivity (GPP; gCO2 C m-2 yr-1), and the fraction of open (non-vegetated) water within each 300 m grid cell. Belowground sources of respiration (i.e., root and microbial) are included. The gridded soil CO2 estimates were obtained using seasonal Random Forest models, information from remote sensing, and a new compilation of in-situ soil CO2 flux from Soil Respiration Stations and eddy covariance towers. The flux tower data are provided along with daily gap-filled flux observations for each Soil Respiration station forced diffusion (FD) chamber record. The data cover the NASA ABoVE Domain.",
         "license": "proprietary"
     },
@@ -19189,27 +19189,27 @@
     },
     {
         "id": "AERIALDIGI_Not provided",
-        "title": "Aircraft Scanners",
-        "catalog": "USGS_LTA STAC Catalog",
+        "title": "Aircraft Scanners - AERIALDIGI",
+        "catalog": "CEOS_EXTRA STAC Catalog",
         "state_date": "1987-10-06",
         "end_date": "",
         "bbox": "-180, 24, -60, 72",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI_Not%20provided",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections?cursor=eyJqc29uIjoiW1wiYWZyaWNhbiBtYXJpbmUgYXRsYXNcIixcIkNFT1NfRVhUUkFcIixcIkFmcmljYW5fTWFyaW5lX0F0bGFzXCIsXCJub3QgcHJvdmlkZWRcIiwyMjMyNDU5MzE2LDFdIiwidW1tIjoiW1wiYWZyaWNhbiBtYXJpbmUgYXRsYXNcIixcIkNFT1NfRVhUUkFcIixcIkFmcmljYW5fTWFyaW5lX0F0bGFzXCIsXCJub3QgcHJvdmlkZWRcIiwyMjMyNDU5MzE2LDFdIn0%3D/AERIALDIGI_Not%20provided",
         "description": "The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.",
         "license": "proprietary"
     },
     {
         "id": "AERIALDIGI_Not provided",
-        "title": "Aircraft Scanners - AERIALDIGI",
-        "catalog": "CEOS_EXTRA STAC Catalog",
+        "title": "Aircraft Scanners",
+        "catalog": "USGS_LTA STAC Catalog",
         "state_date": "1987-10-06",
         "end_date": "",
         "bbox": "-180, 24, -60, 72",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections?cursor=eyJqc29uIjoiW1wiYWZyaWNhbiBtYXJpbmUgYXRsYXNcIixcIkNFT1NfRVhUUkFcIixcIkFmcmljYW5fTWFyaW5lX0F0bGFzXCIsXCJub3QgcHJvdmlkZWRcIiwyMjMyNDU5MzE2LDFdIiwidW1tIjoiW1wiYWZyaWNhbiBtYXJpbmUgYXRsYXNcIixcIkNFT1NfRVhUUkFcIixcIkFmcmljYW5fTWFyaW5lX0F0bGFzXCIsXCJub3QgcHJvdmlkZWRcIiwyMjMyNDU5MzE2LDFdIn0%3D/AERIALDIGI_Not%20provided",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/USGS_LTA/collections/AERIALDIGI_Not%20provided",
         "description": "The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.",
         "license": "proprietary"
     },
@@ -31514,26 +31514,26 @@
     {
         "id": "ATL02_006",
         "title": "ATLAS/ICESat-2 L1B Converted Telemetry Data V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL02_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL02_006",
         "description": "This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.",
         "license": "proprietary"
     },
     {
         "id": "ATL02_006",
         "title": "ATLAS/ICESat-2 L1B Converted Telemetry Data V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL02_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL02_006",
         "description": "This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.",
         "license": "proprietary"
     },
@@ -31579,52 +31579,52 @@
     {
         "id": "ATL04_006",
         "title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL04_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_006",
         "description": "ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
     {
         "id": "ATL04_006",
         "title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL04_006",
         "description": "ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
     {
         "id": "ATL06_006",
         "title": "ATLAS/ICESat-2 L3A Land Ice Height V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL06_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL06_006",
         "description": "This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
     {
         "id": "ATL06_006",
         "title": "ATLAS/ICESat-2 L3A Land Ice Height V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL06_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL06_006",
         "description": "This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
@@ -31644,26 +31644,26 @@
     {
         "id": "ATL07_006",
         "title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL07_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_006",
         "description": "The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
     {
         "id": "ATL07_006",
         "title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL07_006",
         "description": "The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
@@ -31683,26 +31683,26 @@
     {
         "id": "ATL08_006",
         "title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_006",
         "description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
     {
         "id": "ATL08_006",
         "title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-14",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL08_006",
         "description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
@@ -31722,26 +31722,26 @@
     {
         "id": "ATL09_006",
         "title": "ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL09_006",
         "description": "This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
     {
         "id": "ATL09_006",
         "title": "ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL09_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL09_006",
         "description": "This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
         "license": "proprietary"
     },
@@ -31852,26 +31852,26 @@
     {
         "id": "ATL13_006",
         "title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_006",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXF1YXJpdXMgbDMgZ3JpZGRlZCAxLWRlZ3JlZSBkYWlseSBzb2lsIG1vaXN0dXJlIHYwMDVcIixcIk5TSURDX0VDU1wiLFwiQVEzX0RZU01cIixcIjVcIiwxNTI5NDY3NDY3LDk2XSIsInVtbSI6IltcImFxdWFyaXVzIGwzIGdyaWRkZWQgMS1kZWdyZWUgZGFpbHkgc29pbCBtb2lzdHVyZSB2MDA1XCIsXCJOU0lEQ19FQ1NcIixcIkFRM19EWVNNXCIsXCI1XCIsMTUyOTQ2NzQ2Nyw5Nl0ifQ%3D%3D/ATL13_006",
         "description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
         "license": "proprietary"
     },
     {
         "id": "ATL13_006",
         "title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13_006",
         "description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
         "license": "proprietary"
     },
@@ -31956,26 +31956,26 @@
     {
         "id": "ATL15_004",
         "title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2019-01-01",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL15_004",
         "description": "This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).",
         "license": "proprietary"
     },
     {
         "id": "ATL15_004",
         "title": "ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2019-01-01",
         "end_date": "",
         "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL15_004",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.html",
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@@ -32008,156 +32008,156 @@
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2753295020-NSIDC_CPRD.html",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.html",
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         "title": "ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003",
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+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.html",
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     {
         "id": "ATL22_003",
         "title": "ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003",
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         "end_date": "",
         "bbox": "-180, -88, 180, 88",
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-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL22_003",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL22_003",
         "description": "ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.",
         "license": "proprietary"
     },
     {
         "id": "ATL23_001",
         "title": "ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -88, 180, 88",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL23_001",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGNhbGlicmF0ZWQgYmFja3NjYXR0ZXIgcHJvZmlsZXMgYW5kIGF0bW9zcGhlcmljIGxheWVyIGNoYXJhY3RlcmlzdGljcyB2MDA2XCIsXCJOU0lEQ19FQ1NcIixcIkFUTDA5XCIsXCI2XCIsMjYwNzAxNzExNSw2MF0iLCJ1bW0iOiJbXCJhdGxhcy9pY2VzYXQtMiBsM2EgY2FsaWJyYXRlZCBiYWNrc2NhdHRlciBwcm9maWxlcyBhbmQgYXRtb3NwaGVyaWMgbGF5ZXIgY2hhcmFjdGVyaXN0aWNzIHYwMDZcIixcIk5TSURDX0VDU1wiLFwiQVRMMDlcIixcIjZcIiwyNjA3MDE3MTE1LDYwXSJ9/ATL23_001",
         "description": "This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.",
         "license": "proprietary"
     },
     {
         "id": "ATL23_001",
         "title": "ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2018-10-13",
         "end_date": "",
         "bbox": "-180, -88, 180, 88",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL23_001",
         "description": "This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776874873-ORNL_CLOUD.html",
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         "description": "This data set describes rainfall distribution statistics over the African continent, including Madagascar. The rainfall estimates are based on data from the NASA Tropical Rainfall Measuring Mission (TRMM) measured between 1998 and 2012. Rainfall patterns were quantified using a gamma-based function and two Markov chain parameters with the aim to summarize the rainfall pattern to a small number of parameters and processes. These summary statistics are suitable for temporal downscaling.These data provide gridded (0.25 x 0.25-degree) estimates of 14-year mean monthly rainfall total amount (mm), frequency (count), intensity (mm/hr), and duration (hrs) of rainfall, as well as Markov chain and gamma-distribution parameters for use in temporal downscaling. The data are presented as a series of 12 netCDF (*.nc) files. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515313617-ORNL_CLOUD.html",
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         "description": "This dataset provides in situ measurements of needle-level gas-exchange and leaf traits from Picea glauca (white spruce) from a field site located in the northern latitudinal forest-tundra ecotone (FTE) near the Dalton Highway in northern Alaska, and from one study site located in Black Rock Forest, New York, USA. Measurements were collected with an open flow portable photosynthesis system (Li6400XT) and custom-built temperature-controlled cuvette. Respiration as a function of leaf temperature was measured continuously as the needle temperature was ramped from approximately 5 to 65 degrees C, at a constant rate of 1 degree C per minute. Additional data include tree diameter at breast height (dbh), leaf area, photosynthetic rate, intercellular C02, conductance to H20, tree height, and data from raw temperature curves. Results are reported on both a leaf area and leaf mass basis. The data are for the period 2018-06-06 to 2018-06-23 and are provided in comma-separated (CSV) format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2175348008-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2175348008-ORNL_CLOUD.html",
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         "description": "This Arctic-Boreal CO2 fluxes (ABCflux) dataset contains monthly aggregates of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity (GPP) and ecosystem respiration. Over 70 supporting variables describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. The data contained in this ABCflux dataset form a standardized monthly database of Arctic-Boreal CO2 fluxes (i.e., ABCflux Database) and include 244 sites and 6,309 monthly observations; 136 sites and 2,217 monthly observations represent tundra, and 108 sites and 4,092 observations represent the boreal biome. The data are for the period 1989 to 2020.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2732592765-ORNL_CLOUD.html",
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         "description": "This dataset provides lab-measured soil properties, including soil water matric potential, soil dielectric properties, soil electrical conductivity, corresponding soil moisture. The dataset also includes the basic soil physical properties such as soil organic matter, bulk density, porosity, fiber content, root biomass, and mineral texture. Soil samples were collected from August 21 to August 27, 2018, from the surface to permafrost table in soil pits at nine sites along the Dalton Highway in northern and central regions of Alaska. Permittivity and soil electrical conductivity measurements were conducted using METER TEROS 12 probes. Soil moisture measurements were made with a TEROS 21 probe. The measurements were conducted in the lab over the span of three years. The purpose of soil collection and lab measurements was to develop an integrated framework that relates the hydrological properties to dielectric properties of permafrost active layer soil in support of the NASA Arctic and Boreal Vulnerability Experiment (ABoVE) Airborne Campaign.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515937777-ORNL_CLOUD.html",
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         "description": "This dataset contains estimates of biogenic CO2 flux components at 0.05 degree resolution from the Solar-Induced Fluorescence (SIF) for Modeling Urban biogenic Fluxes (SMUrF) model. Estimates were produced for the following regions and periods: eastern and western CONUS (2010-2019), western Europe (2010-2014 and 2017-2018), eastern Asia, eastern China, eastern Australia, South America, and Central Africa (2017-2018). Modeled CO2 flux components include gross primary production (GPP), ecosystem respiration (Reco), and net ecosystem exchange (NEE). Four-day means of GPP are estimated from solar-induced fluorescence (SIF) and biome-specific GPP-SIF relationships. Daily estimates of Reco are included. In addition, GPP and Reco were downscaled to hourly estimates and used to generate hourly NEE. Uncertainties for 4-day GPP and daily Reco estimates are provided. The input data streams included 500 m MODIS-based annual land cover classification, 0.05 degree spatiotemporally contiguous SIF, above-ground biomass (AGB) from GlobBiomass, eddy-covariance (EC) flux measurements, and gridded products of air and soil temperatures.",
         "license": "proprietary"
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         "description": "This dataset provides an estimate of soil organic carbon (SOC) in the top one meter of soil across Mexico at a 90-m resolution for the period 1999-2009. Carbon estimates (kg/m2) are based on a field data collection of 2852 soil profiles by the National Institute for Statistics and Geography (INEGI). The profile data were used for the development of a predictive model along with a set of environmental covariates that were harmonized in a regular grid of 90x90 m2 across all Mexican states. The base of reference was the digital elevation model (DEM) of the INEGI at 90-m spatial resolution. A model ensemble of regression trees with a recursive elimination of variables explained 54% of the total variability using a cross-validation technique of independent samples. The error associated with the predictive model estimates of SOC is provided. A summary of the total estimated SOC per state, statistical description of the modeled SOC data, and the number of pixels modeled for each state are also provided.",
         "license": "proprietary"
     },
@@ -56025,7 +56025,7 @@
         "bbox": "-129.79, 11.32, -65.58, 49.61",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389105307-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389105307-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBkYXRhOiBwZWNrIChmaWZlKVwiLFwiT1JOTF9DTE9VRFwiLFwiZmlmZV9zb2lsbXN0cl9wZWNrX3NtXzEwOVwiLFwiMVwiLDI5ODA2MjU2MTgsMl0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGRhdGE6IHBlY2sgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX3NvaWxtc3RyX3BlY2tfc21fMTA5XCIsXCIxXCIsMjk4MDYyNTYxOCwyXSJ9/CMS_SOC_Mexico_CONUS_1737_1",
         "description": "This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.",
         "license": "proprietary"
     },
@@ -57962,7 +57962,7 @@
         "bbox": "-180, 30, 180, 90",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2883645605-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2883645605-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widG90YWwgbGVhZiB0aXNzdWUgd2F0ZXIgcG90ZW50aWFsIChmaWZlKVwiLFwiT1JOTF9DTE9VRFwiLFwiZmlmZV9iaW9sb2d5X2xlYWZfaDJvXzEyNlwiLFwiMVwiLDI5ODA3MDYwNjYsMl0iLCJ1bW0iOiJbXCJ0b3RhbCBsZWFmIHRpc3N1ZSB3YXRlciBwb3RlbnRpYWwgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX2Jpb2xvZ3lfbGVhZl9oMm9fMTI2XCIsXCIxXCIsMjk4MDcwNjA2NiwyXSJ9/CircumArctic_Trends_Hotspots_2322_1",
         "description": "This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated p-values for a variety of variables including 2-meter air temperature, precipitation, soil moisture, non-frozen season days, permafrost active layer thickness, snow cover, vapor pressure deficit, land surface water fraction, normalized difference vegetation index (NDVI), and vegetation optical depth. Trends were measured annually and over specific seasons of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February), and for the 1980-2020 and 1997-2020 time periods, depending on the variable and original data availability. Emerging hotspots of change were identified for the same variables and seasons, but only over the 1997-2020 period. In addition, a multivariate ranking was used to create combined hotspot layers to show areas of substantial changes in the thermal environment, moisture, and vegetation; these themes reflect landscape changes considered to be detrimental (e.g., a threat) to ecosystems and human populations. Ancillary files provide the boundaries of study regions, Brown permafrost regions, and a land cover product.  The data are provided in cloud optimized GeoTIFF (COG) and shapefile formats.",
         "license": "proprietary"
     },
@@ -58222,7 +58222,7 @@
         "bbox": "-121.29, -58.58, -31.24, 35.56",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389081666-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389081666-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic29pbCBtb2lzdHVyZSBkYXRhOiBwZWNrIChmaWZlKVwiLFwiT1JOTF9DTE9VRFwiLFwiZmlmZV9zb2lsbXN0cl9wZWNrX3NtXzEwOVwiLFwiMVwiLDI5ODA2MjU2MTgsMl0iLCJ1bW0iOiJbXCJzb2lsIG1vaXN0dXJlIGRhdGE6IHBlY2sgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX3NvaWxtc3RyX3BlY2tfc21fMTA5XCIsXCIxXCIsMjk4MDYyNTYxOCwyXSJ9/Country_SOC_Latin_America_1615_1",
         "description": "This dataset provides 5 x 5 km gridded estimates of soil organic carbon (SOC) across Latin America that were derived from existing point soil characterization data and compiled environmental prediction factors for SOC. This dataset is representative for the period between 1980 to 2000s corresponding with the highest density of observations available in the WoSIS system and the covariates used as prediction factors for soil organic carbon across Latin America. SOC stocks (kg/m2) were estimated for the SOC and bulk density point measurements and a spatially explicit measure of the SOC estimation error was also calculated. A modeling ensemble, using a linear combination of five statistical methods (regression Kriging, random forest, kernel weighted nearest neighbors, partial least squared regression and support vector machines) was applied to the SOC stock data at (1) country-specific and (2) regional scales to develop gridded SOC estimates (kg/m2) for all of Latin America. Uncertainty estimates are provided for the two model predictions based on independent model residuals and their full conditional response to the SOC prediction factors.",
         "license": "proprietary"
     },
@@ -58287,7 +58287,7 @@
         "bbox": "-149.7, 52.81, -89.82, 70.31",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162186248-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162186248-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wic3BlY3RyYWwgcmVmbGVjdGFuY2UgYW5kIGFuY2lsbGFyeSBkYXRhLCB0dW5kcmEgdHJhbnNlY3QsIG5vcnRoIHNsb3BlLCBhaywgMjAwMC0yMDIyXCIsXCJPUk5MX0NMT1VEXCIsXCJUdW5kcmFUcmFuc2VjdF9WZWdSZWZsX1NvaWxfMjIzMlwiLFwiMVwiLDI4NDA4MjA5MzYsMl0iLCJ1bW0iOiJbXCJzcGVjdHJhbCByZWZsZWN0YW5jZSBhbmQgYW5jaWxsYXJ5IGRhdGEsIHR1bmRyYSB0cmFuc2VjdCwgbm9ydGggc2xvcGUsIGFrLCAyMDAwLTIwMjJcIixcIk9STkxfQ0xPVURcIixcIlR1bmRyYVRyYW5zZWN0X1ZlZ1JlZmxfU29pbF8yMjMyXCIsXCIxXCIsMjg0MDgyMDkzNiwyXSJ9/CubeSat_Arctic_Boreal_LakeArea_1667_1",
         "description": "This dataset provides near-daily lake area timeseries for 85,358 lakes across four study areas in Northern Canada and Alaska, USA, between May 1 and October 1, 2017. These lake area estimates were produced using digital images from newly developed Planet Labs CubeSats, small satellites with a 4-band (blue, green, red, near-infrared) camera payload. In constellation, CubeSats collected imagery at very high spatial (3-5m) and temporal (near-daily) resolution. From the imagery, each lake's mean, minimum, and maximum areas and seasonal dynamism were derived. The dataset covers four Arctic-Boreal regions: the Yukon Flats Basin (YFB) in eastern interior Alaska, and the Mackenzie River Valley (MRV), Canadian Shield Transect (CST), and Hudson Bay Lowland (HBL) in Canada.",
         "license": "proprietary"
     },
@@ -60705,7 +60705,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2751553403-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2751553403-ORNL_CLOUD.html",
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         "description": "To support high spatial- and temporal-resolution land surface modeling, this dataset provides 3-hourly time step historic weather forcing at 1-km spatial resolution for Puerto Rico and surrounding islands. The latest Daymet V4 data provides gridded historic daily weather observation at 1-km spatial resolution from 1950 to present. Using sub-daily temporal information from two meteorological reanalysis datasets (GSWP3 and NARR), Daymet was further temporally downscaled to 3-hourly time steps and provided in the format required for land surface model simulations. The process of temporal downscaling preserves the relative magnitude in each sub-daily time step from GSWP3 and NARR while maintaining the total and average values from Daymet at each day. These result in two blended datasets: 1950-2014 Daymet-GSWP3 and 1979-2019 Daymet-NARR. Available variables include surface air temperature, precipitation, specific humidity, shortwave and longwave radiation, wind speed, and pressure. These data can be used as a high-resolution meteorological forcing dataset to support high-resolution land surface modeling where accurate meteorological forcing datasets built from historic observations and/or reanalysis datasets are desirable.",
         "license": "proprietary"
     },
@@ -69363,7 +69363,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764883885-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764883885-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widG90YWwgbGVhZiB0aXNzdWUgd2F0ZXIgcG90ZW50aWFsIChmaWZlKVwiLFwiT1JOTF9DTE9VRFwiLFwiZmlmZV9iaW9sb2d5X2xlYWZfaDJvXzEyNlwiLFwiMVwiLDI5ODA3MDYwNjYsMl0iLCJ1bW0iOiJbXCJ0b3RhbCBsZWFmIHRpc3N1ZSB3YXRlciBwb3RlbnRpYWwgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX2Jpb2xvZ3lfbGVhZl9oMm9fMTI2XCIsXCIxXCIsMjk4MDcwNjA2NiwyXSJ9/Forest_Inventory_Tapajos_1552_1",
         "description": "This dataset provides tree inventory, tree height, diameter at breast height (DBH), and estimated crown measurements from 30 plots located in the Tapajos National Forest, Para, Brazil collected in September 2010. The plots were located in primary forest, primary forest subject to reduced-impact selective logging (PFL) between 1999 and 2003, and secondary forest (SF) with different age and disturbance histories. Plots were centered on GLAS (the Geoscience Laser Altimeter System) LiDAR instrument footprints selected along two sensor acquisition tracks spanning a wide range in vertical structure and aboveground biomass.",
         "license": "proprietary"
     },
@@ -80017,52 +80017,52 @@
     {
         "id": "GLAH03_033",
         "title": "GLAS/ICESat L1A Global Engineering Data (HDF5) V033",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH03_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH03_033",
         "description": "Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.",
         "license": "proprietary"
     },
     {
         "id": "GLAH03_033",
         "title": "GLAS/ICESat L1A Global Engineering Data (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH03_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH03_033",
         "description": "Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.",
         "license": "proprietary"
     },
     {
         "id": "GLAH04_033",
         "title": "GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH04_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIHdlZWtseSBncmlkZGVkIGF0bW9zcGhlcmUgdjAwNVwiLFwiTlNJRENfRUNTXCIsXCJBVEwxNlwiLFwiNVwiLDI3Mzc5OTcyNDMsNThdIn0%3D/GLAH04_033",
         "description": "Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.",
         "license": "proprietary"
     },
     {
         "id": "GLAH04_033",
         "title": "GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH04_033",
         "description": "Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.",
         "license": "proprietary"
     },
@@ -80147,26 +80147,26 @@
     {
         "id": "GLAH08_033",
         "title": "GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH08_033",
         "description": "GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH08_033",
         "title": "GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH08_033",
         "description": "GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
@@ -80199,26 +80199,26 @@
     {
         "id": "GLAH10_033",
         "title": "GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-09-25",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH10_033",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH10_033",
         "description": "GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH10_033",
         "title": "GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-09-25",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH10_033",
         "description": "GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
@@ -80251,26 +80251,26 @@
     {
         "id": "GLAH12_034",
         "title": "GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH12_034",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH12_034",
         "description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH12_034",
         "title": "GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNiIG1vbnRobHkgZ3JpZGRlZCBkeW5hbWljIG9jZWFuIHRvcG9ncmFwaHkgdjAwM1wiLFwiTlNJRENfQ1BSRFwiLFwiQVRMMTlcIixcIjNcIiwyNzU0OTU2Nzg2LDEyXSIsInVtbSI6IltcImF0bGFzL2ljZXNhdC0yIGwzYiBtb250aGx5IGdyaWRkZWQgZHluYW1pYyBvY2VhbiB0b3BvZ3JhcGh5IHYwMDNcIixcIk5TSURDX0NQUkRcIixcIkFUTDE5XCIsXCIzXCIsMjc1NDk1Njc4NiwxMl0ifQ%3D%3D/GLAH12_034",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIiwidW1tIjoiW1wiZ2xhcy9pY2VzYXQgbDFiIGdsb2JhbCBlbGV2YXRpb24gZGF0YSAoaGRmNSkgdjAzNFwiLFwiTlNJRENfRUNTXCIsXCJHTEFIMDZcIixcIjM0XCIsMTAwMDAwMDQ0NSwxNjddIn0%3D/GLAH12_034",
         "description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
@@ -80329,26 +80329,26 @@
     {
         "id": "GLAH15_034",
         "title": "GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034",
-        "catalog": "NSIDC_ECS STAC Catalog",
+        "catalog": "NSIDC_CPRD STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.html",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.html",
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         "description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.",
         "license": "proprietary"
     },
     {
         "id": "GLAH15_034",
         "title": "GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034",
-        "catalog": "NSIDC_CPRD STAC Catalog",
+        "catalog": "NSIDC_ECS STAC Catalog",
         "state_date": "2003-02-20",
         "end_date": "2009-10-11",
         "bbox": "-180, -86, 180, 86",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json",
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+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.html",
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         "description": "GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (\u00b1 50\u00b0 latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389081763-ORNL_CLOUD.html",
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         "description": "This dataset provides maps of tidal marsh green vegetation, non-vegetation, and open water for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD, Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Maps were derived from current National Agriculture Imagery Program data (2013-2015) using object-based classification for estuarine and palustrine emergent tidal marshes as indicated by a modified NOAA Coastal Change Analysis Program (C-CAP) map. These 1m resolution maps were used to calculate the fraction of green vegetation within 30m Landsat pixels for the same tidal marsh regions and these data are provided in a related dataset.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517354716-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517354716-ORNL_CLOUD.html",
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         "description": "This dataset provides spatial data products with identified and organized locations of potential methane (CH4) emitting facilities and infrastructure spanning the State of California. These data products form a GIS-based mapping database designed to address shortcomings in current CH4 source inventories and is known as Vista California (Vista-CA). Vista-CA consists of detailed spatial maps for facilities and infrastructure in California that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources. Vista-CA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2005 to 2019. The final Vista-CA database contains over 230,000 entries, which are presented as fifteen CH4 emitting infrastructure maps. The database was used to support flight planning and source attribution for the California Methane Survey project.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517703066-ORNL_CLOUD.html",
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         "description": "This data set provides spatial data products with identified and classified locations of potential methane (CH4) emitting facilities and infrastructure in the South Coast Air Basin (SoCAB). These data products form a GIS-based mapping database designed to address shortcomings in current urban CH4 source inventories and is known as Vista Los Angeles (Vista-LA). SoCAB is the air shed for the greater Los Angeles urban area, which includes urbanized portions of the Los Angeles, Orange, Riverside, and San Bernardino Counties, California, USA. Vista-LA consists of detailed spatial maps for facilities and infrastructure in the SoCAB that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources, representing a first step towards developing an urban-scale CH4 emissions gridded inventory for the SoCAB. Vista-LA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2012 to 2017. The final Vista-LA database contains over 33,000 entries, which are presented as thirteen CH4 emitting infrastructure maps.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2755668925-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2755668925-ORNL_CLOUD.html",
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         "description": "This data set contains five data files, in comma-separated format (.csv), derived from the Walker Branch Watershed (WBW) vegetation inventory in eastern Tennessee. Field studies of permanent vegetation plots were conducted using one sampling design over a 40-year period (1967 to 2006). The data set contains long-term measurements of diameter at breast height (DBH) determined on stratified randomly-located inventory plots within the 4 different vegetation types (oak-hickory, pine-oak-hickory, pine, and mesophytic hardwoods) located in the WBW in 1967. The WBW plot-level vegetation DBH data are provided in four files. One file contains the complete set of inventory records (139,806 observations). To accommodate spreadsheet use, the complete inventory is split into three files, one containing 52,110 observations and the other two containing 48,231 and 39,465 observations, respectively. The fifth file contains the WBW vegetation species inventory with species names, the numeric species code for each species, a species group designation, the scientific name for each species, and the literature-derived ratio of g lignin/g N for leaves of each species. NPP values have been reported for various forest stands at different locations within the WBW by Olson et al. (2012a, b; DeAngelis et al. (1997); and Esser (1998). Total NPP values range from 380 gC/m2/yr for forest stands dominated by yellow poplar to 790 gC/m2/yr for forest stands dominated by oaks. Revision Notes: This updated vegetation inventory data set includes results of the 2006 survey and updates to previous results based on the latest survey. The 1967-2006 data set completely supersedes the 1967-1997 data set. If you downloaded the 1967-1997 data set before September 3, 2013, you should download the 1967-2006 version at your earliest convenience.",
         "license": "proprietary"
     },
@@ -147272,7 +147272,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403370-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2143403370-ORNL_CLOUD.html",
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         "description": "This dataset provides a synthesis of winter ( September-April) in situ soil CO2 flux measurement data from locations across pan-Arctic and Boreal permafrost regions. The in situ data were compiled from 66 published and 21 unpublished studies conducted from 1989-2017. The data sources (publication references) are provided. Sampling sites spanned pan-Arctic Boreal and tundra regions (>53 Deg N) in continuous, discontinuous, and isolated/sporadic permafrost zones. The CO2 flux measurements were aggregated at the monthly level, or seasonally when monthly data were not available, and are reported as the daily average (g C m-2 day-1) over the interval. Soil moisture and temperature data plus environmental and ecological model driver data (e.g., vegetation type and productivity, soil substrate availability) are also included based on gridded satellite remote sensing and reanalysis sources.",
         "license": "proprietary"
     },
@@ -150006,19 +150006,6 @@
         "description": "This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMAERUV_003",
-        "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT",
-        "catalog": "OMINRT STAC Catalog",
-        "state_date": "2004-07-15",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMAERUV_003",
-        "description": "The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ ",
-        "license": "proprietary"
-    },
     {
         "id": "OMAERUV_003",
         "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC",
@@ -150032,6 +150019,19 @@
         "description": "The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.",
         "license": "proprietary"
     },
+    {
+        "id": "OMAERUV_003",
+        "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT",
+        "catalog": "OMINRT STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMAERUV_003",
+        "description": "The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ ",
+        "license": "proprietary"
+    },
     {
         "id": "OMAERUV_004",
         "title": "OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC",
@@ -151163,19 +151163,6 @@
         "description": "This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2.  OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags.  The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMSO2_003",
-        "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC",
-        "catalog": "GES_DISC STAC Catalog",
-        "state_date": "2004-10-01",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.html",
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-        "description": "The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources.  Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li.  The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.",
-        "license": "proprietary"
-    },
     {
         "id": "OMSO2_003",
         "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT",
@@ -151189,6 +151176,19 @@
         "description": "The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/",
         "license": "proprietary"
     },
+    {
+        "id": "OMSO2_003",
+        "title": "OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC",
+        "catalog": "GES_DISC STAC Catalog",
+        "state_date": "2004-10-01",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/GES_DISC/collections?cursor=eyJqc29uIjoiW1wib21pL2F1cmEgbm8yIHRvdGFsIGFuZCB0cm9wb3NwaGVyaWMgY29sdW1uIGRhaWx5IGwyIGdsb2JhbCBncmlkZGVkIDAuMjUgZGVncmVlIHggMC4yNSBkZWdyZWUgdjMgKG9tbm8yZykgYXQgZ2VzIGRpc2NcIixcIkdFU19ESVNDXCIsXCJPTU5PMkdcIixcIjNcIiwxMjY2MTM2MTIxLDQzXSIsInVtbSI6IltcIm9taS9hdXJhIG5vMiB0b3RhbCBhbmQgdHJvcG9zcGhlcmljIGNvbHVtbiBkYWlseSBsMiBnbG9iYWwgZ3JpZGRlZCAwLjI1IGRlZ3JlZSB4IDAuMjUgZGVncmVlIHYzIChvbW5vMmcpIGF0IGdlcyBkaXNjXCIsXCJHRVNfRElTQ1wiLFwiT01OTzJHXCIsXCIzXCIsMTI2NjEzNjEyMSw0M10ifQ%3D%3D/OMSO2_003",
+        "description": "The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources.  Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li.  The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.",
+        "license": "proprietary"
+    },
     {
         "id": "OMSO2_CPR_003",
         "title": "OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC",
@@ -151280,19 +151280,6 @@
         "description": "The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids.  The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes.",
         "license": "proprietary"
     },
-    {
-        "id": "OMTO3e_003",
-        "title": "OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT",
-        "catalog": "OMINRT STAC Catalog",
-        "state_date": "2004-07-15",
-        "end_date": "",
-        "bbox": "-180, -90, 180, 90",
-        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json",
-        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3e_003",
-        "description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .",
-        "license": "proprietary"
-    },
     {
         "id": "OMTO3e_003",
         "title": "OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC",
@@ -151306,6 +151293,19 @@
         "description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles.  The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes.",
         "license": "proprietary"
     },
+    {
+        "id": "OMTO3e_003",
+        "title": "OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT",
+        "catalog": "OMINRT STAC Catalog",
+        "state_date": "2004-07-15",
+        "end_date": "",
+        "bbox": "-180, -90, 180, 90",
+        "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json",
+        "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.html",
+        "href": "https://cmr.earthdata.nasa.gov/stac/OMINRT/collections/OMTO3e_003",
+        "description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .",
+        "license": "proprietary"
+    },
     {
         "id": "OMUANC_004",
         "title": "Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUANC) at GES DISC",
@@ -154123,7 +154123,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2756238692-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756238692-ORNL_CLOUD.html",
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         "description": "The Peace-Athabasca Delta (PAD) is a hydrologically complex and ecologically diverse freshwater delta formed by the confluence of the Peace, Athabasca, and Birch Rivers near the western end of Lake Athabasca, Alberta, Canada. This data set includes 3 comma-delimited ASCII files: one containing water quality data and site characteristics from June and July 2010, a second containing water quality data and site characteristics for June and July 2011, and a third containing spectral reflectance of the water surface for 2011. The 2010 data file has measurements from 62 unique sites, the majority of which were revisited in 2011. Both of the 2011 data files have measurements from 99 unique sites visited 1-4 times. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2756235671-ORNL_CLOUD.html",
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         "description": "The Peace-Athabasca Delta (PAD) is a large boreal wetland located in northeastern Alberta, Canada at the confluence of the Peace and Athabasca Rivers with Lake Athabasca (Figures 1 and 2). A Ramsar Convention wetland and UNESCO World Heritage Site, it is among the world's most ecologically significant wetlands.  This data set contains four comma-delimited ASCII files, two of which contain water surface elevation site and measurement information and two contain water quality and ancillary parameter location and measurement data for 120 sites within the PAD.Data archived include water surface elevation and water quality parameters measured at points throughout the Delta during summers 2006 and 2007. These data sets were originally collected to improve understanding of hydrologic recharge processes in low-relief environments and to provide ground-based measurements to validate satellite observations of inundation and sediment transport. All work was supported by the NASA Terrestrial Hydrology Program under grant NNG06GE05G to the Department of Geography, University of California-Los Angeles, Los Angeles, California. ",
         "license": "proprietary"
     },
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         "description": "Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.",
         "license": "proprietary"
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-        "title": "SHIFT: AVIRIS-NG L2A Unrectified Surface Reflectance Version 1",
-        "catalog": "ORNL_CLOUD STAC Catalog",
-        "state_date": "2022-02-24",
-        "end_date": "2022-05-29",
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-        "license": "proprietary"
-    },
     {
         "id": "SHIFT_AVNG_Canopy_WaterContent_2242_1",
         "title": "SHIFT: AVIRIS-NG Derived Gridded Mosaicked Canopy Water Content, California, 2022",
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         "description": "Site characterization parameters (canopy density, litter components, soil characterization: color, moisture, components) for selected sites within the Superior National Forest, MN during 1988-89",
         "license": "proprietary"
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         "description": "Biophysical parameters (DBH, shrub diameter, growth format, frequency) for selected sites within the Superior National Forest, MN, during 1988-89",
         "license": "proprietary"
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         "description": "Reflectance and transmittance properties of the leaves, needles, branches, moss, and litter of 8 major overstory tree species and 3 understory shrubs measured by Cary-14 spectrometer in the SNF, MN",
         "license": "proprietary"
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         "description": "Measurements of green leaf coverage during the spring of 1984 for canopy, canopy, and understory species for two aspen sites in the Superior National Forest, Minnesota",
         "license": "proprietary"
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         "description": "Reflectance and transmittance properties of canopy components, measured by Cary-14 spectrometer and averaged (weighted average) to Thematic Mapper Simulator (TMS) wavelength bands; see SNF_CAN_SPEC",
         "license": "proprietary"
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@@ -165082,7 +165069,7 @@
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         "description": "Canopy spectral reflectance data collected from the NASA C-130-mounted NS001 Thematic Mapper Simulator (TMS) over the Superior National Forest, MN on 13JUL1983, 06AUG1983, and 28JUN1984.",
         "license": "proprietary"
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         "description": "Inventory of various satellite image data acquired for the Superior National Forest, MN study including MSS, TM, SPOT, and HRV1-HRV2 over a period from 03JUL1983 to 16AUG1990",
         "license": "proprietary"
     },
@@ -165108,7 +165095,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884978791-ORNL_CLOUD.html",
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         "description": "This is a combined data set of canopy, subcanopy and understory composition by vegetation species and study site ID",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983685-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983685-ORNL_CLOUD.html",
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         "description": "Site characterization parameters (canopy density, litter components, species composition) collected from selected sites in the SNF, MN, during 1986 for validating image classification methodology",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983060-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884983060-ORNL_CLOUD.html",
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         "description": "SNF study location measurements of percent ground coverage provided by each understory species; percentages are averages of five 2-meter-diameter subsamples in each site (presented in table format)",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2884982848-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2884982848-ORNL_CLOUD.html",
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         "description": "SNF study location measurements of percent ground coverage provided by each understory species; percentages are averages of five 2-meter-diameter subsamples in each site (presented as list format)",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2515912673-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2515912673-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of soil organic carbon (SOC) in tidal wetlands for the northeastern United States. The data cover the period 1998-2018. Northeastern U.S. tidal wetlands and bordering areas were harmonized from government agencies [U.S. Department of Agriculture - Natural Resources Conservation Service (USDA-NRCS), National Cooperative Soil Survey (NCSS), USDA-NRCS - Rapid Carbon Assessment (RaCA), U.S. Environmental Protection Agency - National Wetland Condition and Assessment (EPA-NWCA)] and published studies. Point data for carbon stocks (in kg m-2) at four soil depths (0-5, 0-30, 0-100, and 0-200 cm) are included. SOC for the four depths was predicted for eight regional zones using regression models driven by environmental covariates. Two methods were used to estimate parameters for these models, a Random Forest (RF) Ranger method and a Quantile Regression Forest (QRF) model. The distribution of SOC was predicted for tidal wetland cover types mapped by Correll et al. (2019). Predictions and uncertainties are available at a 3 m resolution.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517662316-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517662316-ORNL_CLOUD.html",
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         "description": "This dataset provides estimates of total organic soil carbon (SOC), pyrogenic (PyC), particulate (POC), and other organic soil carbon (OOC) fractions in 473 surface layer soil samples collected from stratified-sampling locations in Colorado, Kansas, New Mexico, and Wyoming, USA. Terrain, climate, soil, fire, and land cover data used to predict and map SOC, PyC, POC, and OOC at 1 km resolution throughout the study region are also included. The estimates were derived using a best random forest regression model and cover the period 2007-05-01 to 2010-10-01.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864144-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216864144-ORNL_CLOUD.html",
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         "description": "This data set provides measurements of soil carbon dioxide (CO2) emission rates, soil moisture, relative humidity (RH), temperature, and litterfall from six types of tree plantations at the La Selva Biological Station, Costa Rica. Soil CO2 flux and related measurements were made 1) hourly during 2-day diel field campaigns and 2) as single daytime measurements during multiple survey campaigns, over the period 2004-2010. All measurements were made at the same sites to compare hourly, monthly, and inter-annual variations. Most of the emissions data represent a single soil CO2 flux measurement, with three to five measurements per plot. Litterfall was collected monthly from 2003-2009 and was sorted into fractions prior to drying.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2170971586-ORNL_CLOUD.html",
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         "description": "This dataset includes data from late-March snow surveys and hourly digital camera images from two study areas within the Wrangell St Elias National Park, Alaska. These data comprise snow density, stratigraphy, and temperature profiles obtained by snow pits; and snow depth data obtained from transects between snow pits. Daily snow depths, adjacent to each pit, were derived from hourly camera images of snow stakes placed adjacent to each pit. These data were collected to constrain and validate a physically-based, spatially-distributed snow evolution model used to simulate snow conditions in Dall sheep habitat. The two study areas are both located within the Jacksina Park Unit (JPU). The first study area, surveyed in 2017, included the northern end of Jaeger Mesa and an area near Rambler mine in the North East of the JPU. The second study area, surveyed in 2018, was within the upper watershed of Pass Creek in the North of the JPU. The remote cameras operated from September 2016 to August 2017 on Jaeger Mesa/Rambler Mine and from September 2017 to July 2018 at Pass Creek.",
         "license": "proprietary"
     },
@@ -171777,7 +171764,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2772851281-ORNL_CLOUD.html",
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         "description": "This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format.",
         "license": "proprietary"
     },
@@ -171790,7 +171777,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2764725108-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764725108-ORNL_CLOUD.html",
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         "description": "This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection 6 for the period 2001-01-01 to 2018-12-31. The STMs were created by conducting a time-series analysis of the MOD10A2 snow maps to identify the DOY of snowmelt on a per-pixel basis. Snowmelt timing (no-snow) was defined as a snow-free reading following two consecutive snow-present readings for a given 500-m pixel. The count of STM values is also reported, which represents the number of years on record in the STMs from 2001-2018.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736724942-ORNL_CLOUD.html",
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         "description": "This data set contains in-situ soil moisture profile and soil temperature data collected at 20-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites in four states (California, Arizona, Oklahoma, and Michigan) in the United States. SoilSCAPE used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data at up to 12 sites over varying durations since August 2011. At its maximum, the network consisted of over 200 wireless sensor installations (nodes), with a range of 6 to 27 nodes per site. The soil moisture sensors (EC-5 and 5-TM from Decagon Devices) were installed at three to four depths, nominally at 5, 20, and 50 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. Temperature sensors were installed at 5 cm depth at six of the sites. Data collection started in August 2011 and continues at eight sites through the present. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional (airborne, e.g. NASA's Airborne Microwave Observation of Subcanopy and Subsurface Mission - AirMOSS) and national (spaceborne, e.g. NASA's Soil Moisture Active Passive - SMAP) scales.",
         "license": "proprietary"
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736725173-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736725173-ORNL_CLOUD.html",
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         "description": "This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736752301-LARC_ASDC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736752301-LARC_ASDC.html",
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         "description": "TOTE-VOTE_AircraftRemoteSensing_DC8_Lidar_Data_1 is the remotely sensed Raman Lidar data collected onboard the DC-8 aircraft during the  Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Methane and water vapor data are featured in this dataset. Data collection is complete.  The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts.  Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736752301-LARC_ASDC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736752301-LARC_ASDC.html",
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         "description": "TOTE-VOTE_AircraftRemoteSensing_DC8_Lidar_Data_1 is the remotely sensed Raman Lidar data collected onboard the DC-8 aircraft during the  Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Methane and water vapor data are featured in this dataset. Data collection is complete.  The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts.  Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
         "license": "proprietary"
     },
@@ -176158,7 +176145,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2736731936-LARC_ASDC.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736731936-LARC_ASDC.html",
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         "description": "TOTE-VOTE_Analysis_DC8_Data_1 is the modeled meteorological data along the flight path for the DC-8 aircraft collected during the Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data collection for this product is complete.    The Tropical Ozone Transport Experiment \u2013 Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts.    Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP\u2019s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.",
         "license": "proprietary"
     },
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2736731936-LARC_ASDC.html",
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         "description": "This data set provides a map of selected areas with defined tree canopy cover over the circumpolar taiga-tundra ecotone (TTE). Canopy cover was derived from the 500-meter MODIS Vegetation Continuous Fields (VCF) product as averaged over six years from 2000-2005 and processed as described in Ranson et al. (2011). This process identified patches of low tree canopy cover which are indicative of the transition from forest to tundra and differentiate the circumpolar taiga-tundra ecotone for the 2000-2005 period. The TTE is the Earth's longest vegetation transition zone and stretches for more than 13,400 km around Arctic North America, Scandinavia, and Eurasia. In Eurasia, the map extends from 60 degrees N to 70 degrees N, and in North America from 50 degrees N to 70 degrees N, excluding Baffin Island in northeastern Canada and the Aleutian Peninsula in southwestern Alaska. Note that for this product, taiga is being used one and the same as boreal forest.This circumpolar TTE area was classified according to VCF tree canopy cover.",
         "license": "proprietary"
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         "description": "This dataset provides a synthesis of soil organic carbon (SOC) estimates and a variety of other environmental information from tidal wetlands within estuaries in the conterminous United States for the period 1972-2015. The data were compiled from several existing data resources and include the following: soil organic carbon stock estimates, the proportion of the catchment area containing the wetlands that is barren, tidal wetland area, nontidal wetland land, open water, saltwater zone, mixed zone, agricultural, urban, forest, and wetland areas, land elevation, ocean salinity, sea surface temperature, ocean dissolved inorganic phosphorus, estuary latitude, longitude, depth, perimeter, salinity, and estuary volume, river flow, carbon, nitrogen, and phosphorus river flux, sediment organic carbon content, windspeed, mean temperature, daily and mean precipitation, frost days, and the population within each catchment. Estuaries were also classified to one of six typological categories. Coastal locations were determined by natural environmental and political divisions within the US. The data were used to investigate how tidal wetland soil organic carbon density is distributed across the continental US among various coastal locations, estuarine typologies, vegetation types, water regimes, and management regimes, and to identify whether SOC density is correlated with different environmental variables. The analytical results are not included with this dataset.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101861-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2389101861-ORNL_CLOUD.html",
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         "description": "This dataset provides modeled estimates of soil carbon stocks for tidal wetland areas of the Conterminous United States (CONUS) for the period 2006-2010. Wetland areas were determined using both 2006-2010 Coastal Change Analysis Program (C-CAP) raster maps and the National Wetlands Inventory (NWI) vector data. All 30 x 30-meter C-CAP pixels were extracted that are coded as estuarine emergent, scrub/shrub, or forested in either 2006 or 2010. A soil database for model fitting and validation was compiled from 49 different studies with spatially explicit empirical depth profile data and associated metadata, totaling 1,959 soil cores from 18 of the 22 coastal states. Reported estimates of carbon stocks were derived with modeling approaches that included (1) applying a single average carbon stock value from the compiled soil core data, (2) applying models fit using the empirical data and applied spatially using soil, vegetation and salinity maps, (3) relying on independently generated soil carbon maps from The United States Department of Agriculture (USDA)'s Soil Survey Geographic Database (SSURGO), and the NWI that intersected with mapped tidal wetlands, and (4) using a version of SSURGO bias-corrected for bulk density. Comparisons of uncertainty, precision, and accuracy among these four approaches are also provided.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2575422019-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2575422019-ORNL_CLOUD.html",
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         "description": "This dataset contains model predictions of soil erosion and soil organic carbon (SOC) redistribution caused by agricultural practices such as tillage erosion. Soil erosion diminishes agricultural productivity by driving the loss of SOC. This model addresses a growing need to predict soil organic carbon transport, loss, and deposition. The model was applied to three sites containing paired prairie grassland and field plots in Iowa, and predicts SOC redistribution between 1859 to 2019. The model was developed by incorporating a SOC mixing model with a landscape evolution model that simulates tillage erosion.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2192619509-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2192619509-ORNL_CLOUD.html",
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         "description": "This dataset includes daily averaged solar-induced chlorophyll fluorescence (SIF) in the red (680-686 nm) and far-red (745-758 nm) wavelength ranges, relative SIF (SIF/Intensity), chlorophyll-carotenoid index (CCI), photochemical reflectance index (PRI), near-infrared vegetation index (NIRv), and normalized difference vegetation index (NDVI) for both black spruce (Picea mariana) and larch (Larix laricina) targets. The study site (Southern Old Black Spruce, SOBS Fluxnet ID CA-Obs) is located near the southern limit of the boreal forest ecotone in Saskatchewan, Canada. Data were collected for the spring transition in both 2019 and 2020 using PhotoSpec. Species-specific averages were calculated over each 30-minute period, then averaged again to report daily averages of SIF relative and reflectance measurements for both black spruce and larch.",
         "license": "proprietary"
     },
@@ -180721,7 +180708,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2612824717-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2612824717-ORNL_CLOUD.html",
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         "description": "The data set provides multi-year (2016-2018) percent tree cover (TC) estimates for entire Mexico at 30 m spatial resolution. The TC data (hereafter, NEX-TC) was derived from the 30 m Landsat Collection 1 product and a hierarchical deep learning approach (U-Net) developed in a previous CMS effort for the conterminous United States (CONUS) (Park et al., 2022). The hierarchical U-Net framework first developed a U-Net model for very high-resolution aerial images (NAIP) using training labels derived from previous work based on an interactive image segmentation tool and iterative updates with expert knowledge (Basu et al., 2015). The developed NAIP U-Net model and NAIP data produced 1-m NAIP TC across all lower 48 CONUS states. A Landsat U-Net model was developed for multi-year and large-scale TC mapping based on the very high-resolution NAIP TC made in the earlier stage. The Landsat U-Net model developed was adopted over the CONUS for testing its transferability, validation, and improvement across Mexico. This dataset provides national-scale percent tree cover estimates over Mexico and can be helpful for studies of carbon cycling, land cover and land use change, etc. The team has been working on improving temporal stability of the product and will update the product once the next version is ready to be shared.",
         "license": "proprietary"
     },
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2767487834-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2767487834-ORNL_CLOUD.html",
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         "description": "This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty.",
         "license": "proprietary"
     },
@@ -180773,7 +180760,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2840820936-ORNL_CLOUD.html",
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         "description": "This dataset provides visible-near infrared spectral reflectance, descriptions of vegetation cover, surface temperature, the total fraction of absorbed photosynthetically active radiation (fAPAR, 2001 only), permafrost active layer depth, elevation, and soil temperature at 5 cm depth. Measurements were made at every meter along a 100-m transect aligned mainly in an east-west direction, located approximately 300 m southeast of the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML) baseline observatory near Utqiagvik, Alaska. Reflectance measurements were collected at nearly weekly intervals through the growing seasons of 2000 to 2002 to describe characteristics of green-up, peak growth, and senescence. Reflectance measurements were also collected once near peak growth in 2022. Ancillary measurements were collected at intervals through the 2001 and 2002 growing seasons.",
         "license": "proprietary"
     },
@@ -180786,7 +180773,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495116-ORNL_CLOUD.umm_json",
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         "description": "This dataset provides measurements at tundra plots collected near Utqiagvik and Atqasuk, AK, including visible-near infrared spectral reflectance, chamber gas exchange measurements of CO2, pulse amplitude modulated (PAM) fluorometry, chlorophyll pigment contents, along with surface temperature, permafrost active layer depth, and soil temperature at 5 cm, through the growing seasons of 2001 and 2002. At all plots, spectral reflectance was measured using a portable spectrometer configured with a straight fiber optic foreoptic, surface temperatures were measured using a handheld Everest Infrared Thermometer, and thaw depth (or active layer depth) was measured using a metal rod graduated in centimeter intervals. At small plots (~15 cm) at Utqiagvik (referred to as Patch plots) chambers were constructed that enclosed an individual patch to determine photosynthetic rate and estimate respiration rate (made by covering the chamber in a dark cloth). Efficiency using PAM fluorometer, ambient yield estimations, and rapid light curve measurements were taken. Chlorophyll concentration was measured with a portable spectrometer configured as a spectrophotometer. At larger plots (approximately 1 m2) which were part of the International Tundra EXperiment (ITEX plots) at Utqiagvik (referred to as Barrow) and Atqasuk, a sub-sample of five control and five warmed plots at each site were fitted with 0.45 m diameter polyvinyl chloride collars for chamber flux measurements. To determine the total fraction of absorbed photosynthetically active radiation (fAPAR), a series of photosynthetically active radiation (PAR) measurements were made using a custom-made light bar consisting of a linear array of GaAsP sensors mounted within an aluminum U-bar under a white plastic diffuser. In addition, a visual estimate was made of the fraction of standing dead vegetation based on percent cover. The data are provided in comma-separated values (*.csv) format.  In addition, photographs of plots and instruments are provided.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2262495547-ORNL_CLOUD.html",
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         "description": "This dataset provides leaf-level visible-near infrared spectral reflectance, chlorophyll fluorescence spectra, species, plant functional type (PFT), and chlorophyll content of common high latitude plant samples collected near Fairbanks, Utqiagvik, and Toolik, Alaska, U.S., during the summers of 2019, 2020, and 2021. A FluoWat leaf clip was used to measure leaf-level visible-near infrared spectral reflectance and chlorophyll fluorescence spectra. Fluorescence yield (Fyield) was calculated as the ratio of the emitted fluorescence divided by the absorbed radiation for the wavelengths from 400 nm up to the wavelength of the cut off for the FluoWat low pass filter (either 650 or 700 nm). Chlorophyll content of samples was measured using a CCM-300 Chlorophyll Content. The data are provided in comma-separated values (.csv) format.",
         "license": "proprietary"
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         "description": "UAVSAR Repeat Pass Interferometry Scene KMZ",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214336717-ASF.html",
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1214353593-ASF.html",
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         "description": "UAVSAR PolSAR Scene DEM TIFF",
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         "description": "UAVSAR PolSAR Scene Incidence Angle",
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         "description": "UAVSAR PolSAR Scene Projected",
         "license": "proprietary"
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         "description": "UAVSAR PolSAR Scene Projected Multilook 3x3",
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@@ -181579,7 +181566,7 @@
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3140252003-ORNL_CLOUD.html",
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         "description": "This dataset provides measurements of vegetation biomass from 11 locations across Alaska during 2016 to 2018. Vegetation was harvested from plots that were located at the end of previously established 30-m transects at each site, except at one site where plots were randomly selected. Vascular vegetation was clipped from 50 cm x 50 cm plots, and non-vascular vegetation was clipped from 25 cm x 25 cm plots. All harvested vegetation was sorted by functional group or by species where identification was possible. The sorted vegetation was dried and then weighed to determine biomass. Locations were selected to investigate fire disturbance, to span the range of permafrost regions from continuous to sporadic, and to cover vegetation types from boreal forests, tussock tundra, upland willow/herbaceous scrub, and lowland fen and wet tundra sites across Alaska. The data are provided in comma separated values (CSV) format.",
         "license": "proprietary"
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         "description": "The Vulcan version 3.0 annual dataset provides estimates of annual carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the State of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Data are gridded annually on a 1-km grid for the years 2010 to 2015. These data are annual sums of hourly estimates. Also provided are estimates of the upper 95% confidence interval and the lower 95% confidence interval boundaries for each emission estimate. For each uncertainty level, there are 10 individual sector files and one total file.  These data are designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.",
         "license": "proprietary"
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         "description": "The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available.  Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2764722720-ORNL_CLOUD.html",
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         "description": "The WAVeTrends dataset is a 0.05 degree (5.55 km) vegetation change product, spanning the West African Sudano-Sahel region. It provides pixel-wise information on concurrent woody and herbaceous vegetation trends over a 32-year period (1982-2013). Change in woody vegetation was derived using long-term rain use efficiency (RUE) sensitivity, i.e., the per-pixel comparison of the difference of mean RUE between the first and last decades of the 32-year time series. Herbaceous vegetation change was defined by short-term RUE sensitivity, i.e., comparing the slope of the RUE relationship (productivity vs. precipitation) between both decades using per-pixel Analysis of Covariance (ANCOVA). Categorical vegetation change was then determined for each pixel using the direction of the change and a significance level of p<0.05. The use of RUE (the amount of biomass produced per unit of precipitation) for vegetation trend analysis in savanna regions relies on the assumption that rainfall is a significant positive driver of net production in drylands. Testing of this long-term productivity-rainfall relationship revealed that the assumption was not always met, therefore, validity flags are included for each pixel location.",
         "license": "proprietary"
     },
@@ -199675,7 +199662,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517698238-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517698238-ORNL_CLOUD.html",
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         "description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the \"receptor\" location), to create the adjoint of the transport model in the form of a \"footprint\" field. The footprint, with units of mixing ratio, quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume.",
         "license": "proprietary"
     },
@@ -199688,7 +199675,7 @@
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         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2517667717-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2517667717-ORNL_CLOUD.html",
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         "description": "This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) particle trajectory data and footprint products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. Meteorological fields from version 3.6.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the \"receptor\" location), to create the adjoint of the transport model in the form of a \"footprint\" field. The footprint, with units of mixing ratio (ppm) per surface flux (umol m-2 s-1), quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. Footprints are provided for the two receptors at two temporal and spatial scales: three days of surface influence over the whole North American coverage area at 1-degree resolution and 24 hours of surface influence within a smaller region close to the measurement locations ('near field') at 0.1-degree resolution.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863502-ORNL_CLOUD.html",
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         "description": "This data set provides a soil map with estimates of soil carbon (C) in g C/m2 for 20-cm layers from the surface to one meter depth for the conterminous United States.STATSGO v.1 (State Soil Geographic Database, Soil Survey Staff, 1994) data were used to estimate by 20-cm intervals to a 1-m depth the mean soil carbon for each of the STATSGO-delineated soil map units. These map units are the polygons represented in the provided Shapefile data product. ",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2951683862-ORNL_CLOUD.html",
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         "description": "This dataset contains estimates of soil organic carbon stocks and wetland intrinsic potential (WIP) across the Hoh River Watershed in the Olympic Peninsula, WA, USA in 2012-2013. Estimates were derived from an equation based on wetland intrinsic potential and geology type (Stewart et al., 2023). Wetland intrinsic potential estimates the likelihood that that an area is a wetland using a random forest model built on vegetation, hydrology, and soil data (Halabisky et al., 2022). SOC estimates at 1 m and 30 cm, SOC standard deviations, and WIP are presented in Cloud-Optimized GeoTIFF (*.tif) format at 4-m resolution. Also included are 36 field observations of SOC collected from 2020-08-01 to 2022-06-29. These are contained in a comma separated (*.csv) file.",
         "license": "proprietary"
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         "description": "snowpackBuoyantPimpleFoam is a  two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2789814580-ENVIDAT.html",
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         "description": "snowpackBuoyantPimpleFoam is a  two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).",
         "license": "proprietary"
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         "description": "Site averaged product of the flux data collected by many PIs during the 1987-1989 FIFE experiment. Data are in 30-minute intervals and include the entire period 1987-1989.",
         "license": "proprietary"
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         "description": "Site averaged product of the Portable Automatic Meteorological Station (AMS) data acquired during the 1987-1989 FIFE experiment. Data are in 30-minute time intervals.",
         "license": "proprietary"
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         "description": "Site averaged product of the gravimetric soil moisture collected during the 1987-1989 FIFE experiment. Samples were averaged for each site, then averaged for each day. Includes 1987-1989 data.",
         "license": "proprietary"
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         "description": "Site averaged product of the neutron probe soil moisture collected during the 1987-1989 FIFE experiment. Samples were averaged for each site, then averaged for each day. Includes 1987-1989 data.",
         "license": "proprietary"
     },
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         "description": "Visible/NIR reflectance spectra data for both fresh and dry leaf samples were collected to determine the relationship of foliar chemical concentrations with reflectance.",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776864640-ORNL_CLOUD.html",
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         "description": "The Atmospheric Tracer Transport Model Intercomparison Project (TransCom) was created to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that results from errors in simulated atmospheric transport, the choice of measured atmospheric carbon dioxide data used, and the inversion methodology employed. Under the third phase of TransCom (TransCom 3), surface-atmosphere CO2 fluxes were estimated from an intercomparison of 16 different atmospheric tracer transport models and model variants in order to assess the contribution of uncertainties in transport to the uncertainties in flux estimates for annual mean, seasonal cycle, and interannual inversions (referred to as Level 1, 2, and 3 experiments, respectively).This data set provides the model output and inversion results for the TransCom 3, Level I annual mean inversion experiments. Annual mean CO2 concentration data (GLOBALVIEW-CO2, 2000) were used to estimate CO2 sources. The annual average fluxes were estimated for the 1992-1996 period using each of the 16 transport models and a common inversion set-up (Gurney et al., 2002). Methodological choices for this control inversion were selected on the basis of knowledge gained from a wide range of sensitivity tests (Law et al., 2003). Gurney et al. (2003) present results from the control inversion for individual models as well as results from a number of sensitivity tests related to the specification of prior flux information. Additional information about the experimental protocol and results is provided in the companion files and the TransCom project web site (http://www.purdue.edu/transcom/index.php).The results of the Level 1 experiments presented here are grouped into two broad categories: forward simulation fields and response functions (model output) and estimated fluxes (inversion results).",
         "license": "proprietary"
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         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2776866990-ORNL_CLOUD.html",
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         "description": "This data set provides model outputs and seasonal mean CO2 fluxes from the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3), Level 2 inversion experiment. Inversion methods can be used to estimate surface CO2 fluxes from atmospheric CO2 concentration measurements, given an atmospheric transport model to relate the two. This Level 2 experiment inverted for the spatial and temporal pattern of the residual CO2 sources and sinks. There were 12 atmospheric tracer transport models utilized in this experiment. The data inverted were mean CO2 concentration data from 75 sites from the GLOBALVIEW-CO2 2000 data set for the period 1992-1996. The seasonal inversion consists of a 3 year forward simulation (365 days per year) containing 4 presubtracted tracers, 11 SF6 tracers, and 22 CO2 tracers (11 terrestrial, 11 oceanic) (Gurney et al., 2000). Carbon fluxes were estimated for each month of an average year determined as the mean of the 1990-1996 time period from an intercomparison of 12 different atmospheric tracer transport models. This data set provides input data, model output data,the cyclo inversion code, a basis function map, and estimated fluxes.",
         "license": "proprietary"
     },
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         "description": "AVIRIS image scenes were acquired in 1992 over ACCP sites. Pixels that coincided with field study plots were extracted and reflectance values were correlated  with estimated canopy carbon and nitrogen content.",
         "license": "proprietary"
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         "description": "Contains TGB-01 carbon soil profile data for Northern Study Area.",
         "license": "proprietary"
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         "description": "Height, crown width, DBH, and height-to-crown distance collected using variable-radius plot sampling with steel tape and hand-held compass to locate points along transect",
         "license": "proprietary"
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         "description": "The VEMAP 1: Model Input Database CD-ROM ISO image contains long-term data that were used as input in comparing models during Phase 1 of the Vegetation Ecosystem Modeling and Analysis Project. Compiled and model-generated data sets of long-term mean climate, soils, vegetation, and climate change scenarios for the conterminous United States.  Dates of the data sets range between 1895 and 1996.  The data are gridded at 0.5 degree latitude by 0.5 degree longitude.",
         "license": "proprietary"
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         "description": "This data set provides the results of the development of The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) Phase 2 transient climate change scenarios for the state of Alaska, USA. The data include gridded monthly historical and future estimates of maximum and minimum temperature, solar radiation, vapor pressure, irradiance, relative humidity and potential evapotranspiration at 0.5-degree spatial resolution. Historical data are for the period 1922-1996; future estimates cover the period 1997-2100.",
         "license": "proprietary"
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@@ -248555,7 +248542,7 @@
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         "description": "An integrated input data set for ecosystem and vegetation modeling for the conterminous United States: Climate",
         "license": "proprietary"
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         "description": "VEMAP Phase 2 has developed a number of transient climate change scenarios based on coupled atmosphere-ocean general circulation model (AOGCM) transient climate experiments.  The purpose of these scenarios is to reflect time-dependent changes in surface climate from AOGCMs in terms of both (1) long-term trends and (2) changes in multiyear (3-5 yr) to decadal variability, such as El Nino/Southern Oscillation (ENSO).",
         "license": "proprietary"
     },
@@ -248711,7 +248698,7 @@
         "bbox": "-124.5, 25, -67, 49",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2946947569-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2946947569-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widmVtYXAgMTogdS5zLiBjbGltYXRlIGNoYW5nZSBzY2VuYXJpb3MgYmFzZWQgb24gbW9kZWxzIHdpdGggaW5jcmVhc2VkIGNvMlwiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMV9zY2VuYXJpb18yMjNcIixcIjFcIiwyODk0Nzk1ODk0LDVdIiwidW1tIjoiW1widmVtYXAgMTogdS5zLiBjbGltYXRlIGNoYW5nZSBzY2VuYXJpb3MgYmFzZWQgb24gbW9kZWxzIHdpdGggaW5jcmVhc2VkIGNvMlwiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMV9zY2VuYXJpb18yMjNcIixcIjFcIiwyODk0Nzk1ODk0LDVdIn0%3D/vemap-2_TSCENARIO_monthly_567_1",
         "description": "Data sets of transient climate change scenarios based on coupled atmosphere-ocean general circulation model (AOGCM) transient climate experiments with transient greenhouse gas and sulfate aerosol forcing.",
         "license": "proprietary"
     },
@@ -248724,7 +248711,7 @@
         "bbox": "-124, 26, -66, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2908697274-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2908697274-ORNL_CLOUD.html",
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+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1widmVtYXAgMTogdS5zLiBjbGltYXRlIGNoYW5nZSBzY2VuYXJpb3MgYmFzZWQgb24gbW9kZWxzIHdpdGggaW5jcmVhc2VkIGNvMlwiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMV9zY2VuYXJpb18yMjNcIixcIjFcIiwyODk0Nzk1ODk0LDVdIiwidW1tIjoiW1widmVtYXAgMTogdS5zLiBjbGltYXRlIGNoYW5nZSBzY2VuYXJpb3MgYmFzZWQgb24gbW9kZWxzIHdpdGggaW5jcmVhc2VkIGNvMlwiLFwiT1JOTF9DTE9VRFwiLFwidmVtYXAtMV9zY2VuYXJpb18yMjNcIixcIjFcIiwyODk0Nzk1ODk0LDVdIn0%3D/vemap-2_results_annual_766_1",
         "description": "Phase 2 of the VEMAP Project developed historical (1895-1993) gridded data sets of climate (temperature, precipitation, solar radiation, humidity, and wind speed) and projected (1994-2100) gridded annual and monthly climate data sets using output from two climate system models [CCCma (Canadian Centre for Climate Modeling and Analysis) and Hadley Centre models]. Two Phase 2 model experiments were run.  First, a set of selected  biogeochemical models and coupled biogeochemical-biogeographical models were run from 1895 to 1993 to compare model responses to the historical time series and current ecosystem biogeochemistry.  Second, these same models were run on the projected 1994 to 2100 data to compare their ecological responses to transient scenarios of climate and atmospheric CO2 change. Model runs were performed for daily, monthly, and annual gridded data sets. The output of the annual model runs in VEMAP grid format are contained in this data set. The models investigated included five biogeochemical cycling models, which simulate plant production and nutrient cycles.",
         "license": "proprietary"
     },
@@ -248737,7 +248724,7 @@
         "bbox": "-124, 26, -66, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2908704847-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2908704847-ORNL_CLOUD.html",
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         "description": "Phase 2 developed historical (1895-1993) gridded data sets of climate (temperature, precipitation, solar radiation, humidity, and wind speed) and projected (1994-2100) gridded annual and monthly climate data sets using output from two climate system models [CCCma (Canadian Centre for Climate Modeling and Analysis) and Hadley Centre models]. Two Phase 2 model experiments were run. First, a set of selected  biogeochemical models and coupled biogeochemical-biogeographical models were run from 1895 to 1993 to compare model responses to the historical time series and current ecosystem biogeochemistry.  Second, these same models were run on the projected 1994 to 2100 data to compare their ecological responses to transient scenarios of climate and atmospheric CO2 change. Model runs were performed for daily, monthly, and annual gridded data sets. The output of the monthly model runs in VEMAP grid format are contained in this data set.",
         "license": "proprietary"
     },
@@ -249231,7 +249218,7 @@
         "bbox": "-100, 25, -60, 50",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093948-ORNL_CLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2808093948-ORNL_CLOUD.html",
-        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wid2luZCBwcm9maWxlIGRhdGE6IGxpZGFyIC0gbm9hYSAoZmlmZSlcIixcIk9STkxfQ0xPVURcIixcImZpZmVfYXRtb3Nfd2luZF9saWRfMTM4XCIsXCIxXCIsMjk4MDcyMTI3MiwyXSIsInVtbSI6IltcIndpbmQgcHJvZmlsZSBkYXRhOiBsaWRhciAtIG5vYWEgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX2F0bW9zX3dpbmRfbGlkXzEzOFwiLFwiMVwiLDI5ODA3MjEyNzIsMl0ifQ%3D%3D/woody_biomass_657_1",
+        "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections?cursor=eyJqc29uIjoiW1wid2luZCBwcm9maWxlIGRhdGE6IHJhZGlvc29uZGUgKGZpZmUpXCIsXCJPUk5MX0NMT1VEXCIsXCJmaWZlX2F0bW9zX3dpbmRfc29uXzEzOVwiLFwiMVwiLDI5ODA3MjIyOTksMl0iLCJ1bW0iOiJbXCJ3aW5kIHByb2ZpbGUgZGF0YTogcmFkaW9zb25kZSAoZmlmZSlcIixcIk9STkxfQ0xPVURcIixcImZpZmVfYXRtb3Nfd2luZF9zb25fMTM5XCIsXCIxXCIsMjk4MDcyMjI5OSwyXSJ9/woody_biomass_657_1",
         "description": "Estimates of the woody biomass density and pools were derived at the county scale of resolution of all forests of the eastern United States using new approaches for converting inventoried wood volume to estimates of above and belowground biomass.",
         "license": "proprietary"
     },
diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv
index f6c9857d0..c9869e436 100644
--- a/nasa_cmr_catalog.tsv
+++ b/nasa_cmr_catalog.tsv
@@ -1475,8 +1475,8 @@ AERDT_L2_VIIRS_NOAA20_NRT_2	VIIRS/NOAA-20 Dark Target Aerosol L2 6-Min Swath (v2
 AERDT_L2_VIIRS_SNPP_2	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km V2	LAADS STAC Catalog	2012-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2771506686-LAADS.umm_json	The VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally.  The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) incarnation of the dark target (DT) aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission&#8217;s MODIS instruments.  Two separate and distinct DT algorithms exist.  One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).    This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1).    For more information consult LAADS product description page at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/AERDT_L2_VIIRS_SNPP    Or, Dark Target aerosol team Page at:   https://darktarget.gsfc.nasa.gov/	proprietary
 AERDT_L2_VIIRS_SNPP_NRT_1.1	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath	ASIPS STAC Catalog	2020-06-09		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1976333380-ASIPS.umm_json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).	proprietary
 AERDT_L2_VIIRS_SNPP_NRT_2	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath (v2.0)	ASIPS STAC Catalog	2023-11-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2812412751-ASIPS.umm_json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).    This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP_NRT) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1).	proprietary
-AERIALDIGI_Not provided	Aircraft Scanners	USGS_LTA STAC Catalog	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	proprietary
 AERIALDIGI_Not provided	Aircraft Scanners - AERIALDIGI	CEOS_EXTRA STAC Catalog	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C2231548706-CEOS_EXTRA.umm_json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	proprietary
+AERIALDIGI_Not provided	Aircraft Scanners	USGS_LTA STAC Catalog	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.umm_json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	proprietary
 AERONET_aerosol_706_1	SAFARI 2000 AERONET Ground-based Aerosol Data, Dry Season 2000	ORNL_CLOUD STAC Catalog	1999-01-01	2001-12-31	28.03, -26.19, 28.03, -26.19	https://cmr.earthdata.nasa.gov/search/concepts/C2788355135-ORNL_CLOUD.umm_json	AERONET (AErosol RObotic NETwork) is an optical ground-based aerosol monitoring network and data archive system. AERONET measurements of the column-integrated aerosol optical properties in the southern Africa region were made by sun-sky radiometers at several sites in August-September 2000 as a part of the SAFARI 2000 dry season aircraft campaign. AERONET is supported by NASA's Earth Observing System and expanded by federation with many non-NASA institutions. The network hardware consists of identical automatic sun-sky scanning spectral radiometers owned by national agencies and universities. Data from this collaboration provides globally-distributed near-real-time observations of aerosol spectral optical depths, aerosol size distributions, and precipitable water in diverse aerosol regimes.	proprietary
 AEROSE_0	Saharan Dust AERosols and Ocean Science Expeditions	OB_DAAC STAC Catalog	2004-03-02	2017-04-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2108358203-OB_DAAC.umm_json	AEROSE is an internationally recognized series of trans-Atlantic field campaigns conducted onboard the NOAA Ship Ronald H. Brown designed to explore African air mass outflows and their impacts on climate, weather, and environmental health.	proprietary
 AE_5DSno_2	AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids V002	NSIDC_ECS STAC Catalog	2002-06-20	2011-10-03	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179014698-NSIDC_ECS.umm_json	These Level-3 Snow Water Equivalent (SWE) data sets contain SWE data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids).	proprietary
@@ -2423,24 +2423,24 @@ AST_L1B_003	ASTER L1B Registered Radiance at the Sensor V003	LPDAAC_ECS STAC Cat
 AST_L1T_003	ASTER Level 1 precision terrain corrected registered at-sensor radiance V003	LPDAAC_ECS STAC Catalog	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000320-LPDAAC_ECS.umm_json	The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected, and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T dataset does not include the aft-looking VNIR band 3.    The precision terrain correction process incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover).    For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both as a text file and a single band browse images with the valid GCPs overlaid.    This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depends on the bands available in the corresponding (AST_L1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) dataset. 	proprietary
 AST_L1T_031	ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance V031	LPDAAC_ECS STAC Catalog	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2052604735-LPDAAC_ECS.umm_json	The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) Version 3.1 data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B AST_L1B  (https://doi.org/10.5067/ASTER/AST_L1B.003), that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T V3.1 is created from a single resampling of the corresponding ASTER L1A AST_L1A (https://doi.org/10.5067/ASTER/AST_L1A.003) product. Radiometric calibration coefficients Version 5 (RCC V5) are applied to this product to improve the degradation curve derived from vicarious and lunar calibrations. The bands available in the AST_L1T V3.1 depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T V3.1 dataset does not include the aft-looking VNIR band 3.    The 3.1 version uses a precision terrain correction process that incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover).    For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution in both a text file and a single band browse image with the valid GCPs overlaid.    This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depend on the bands available in the corresponding AST_L1A dataset.    The AST_L1T V3.1 data product is only available through NASA’s Earthdata Search. The ASTER L1T V3.1 Order Instructions provide step-by-step directions for ordering this product.  	proprietary
 ATCS_0	The A-Train Cloud Segmentation Dataset	OB_DAAC STAC Catalog	2007-11-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2172083412-OB_DAAC.umm_json	ATCS is a dataset designed to train deep learning models to volumetrically segment clouds from multi-angle satellite imagery. The dataset consists of spatiotemporally aligned patches of multi-angle polarimetry from the POLDER sensor aboard the PARASOL mission and vertical cloud profiles from the 2B-CLDCLASS product using the cloud profiling radar (CPR) aboard CloudSat.	proprietary
-ATL02_006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	proprietary
 ATL02_006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.umm_json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	proprietary
+ATL02_006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2541211133-NSIDC_ECS.umm_json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	proprietary
 ATL03_006	ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2559919423-NSIDC_ECS.umm_json	This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.	proprietary
 ATL03_006	ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.umm_json	This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.	proprietary
 ATL03_ANC_MASKS_1	ATLAS/ICESat-2 ATL03 Ancillary Masks, Version 1	NSIDCV0 STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2278879612-NSIDCV0.umm_json	This ancillary ICESat-2 data set contains four static surface masks (land ice, sea ice, land, and ocean) provided by ATL03 to reduce the volume of data that each surface-specific along-track data product is required to process. For example, the land ice surface mask directs the ATL06 land ice algorithm to consider data from only those areas of interest to the land ice community. Similarly, the sea ice, land, and ocean masks direct ATL07, ATL08, and ATL12 algorithms, respectively. A detailed description of all four masks can be found in section 4 of the Algorithm Theoretical Basis Document (ATBD) for ATL03 linked under technical references.	proprietary
-ATL04_006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL04_006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.umm_json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
-ATL06_006	ATLAS/ICESat-2 L3A Land Ice Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json	This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL04_006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2561045326-NSIDC_ECS.umm_json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL06_006	ATLAS/ICESat-2 L3A Land Ice Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.umm_json	This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL06_006	ATLAS/ICESat-2 L3A Land Ice Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2564427300-NSIDC_ECS.umm_json	This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL07QL_006	ATLAS/ICESat-2 L3A Sea Ice Height Quick Look V006	NSIDC_ECS STAC Catalog	2024-06-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2548344839-NSIDC_ECS.umm_json	ATL07QL is the quick look version of ATL07. Once final ATL07 files are available, the corresponding ATL07QL files will be removed. ATL07 contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
-ATL07_006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL07_006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.umm_json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL07_006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2564625052-NSIDC_ECS.umm_json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL08QL_006	ATLAS/ICESat-2 L3A Land and Vegetation Height Quick Look V006	NSIDC_ECS STAC Catalog	2024-05-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2548345108-NSIDC_ECS.umm_json	ATL08QL is the quick look version of ATL08. Once final ATL08 files are available the corresponding ATL08QL files will be removed.  ATL08 contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
-ATL08_006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL08_006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.umm_json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL08_006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2565090645-NSIDC_ECS.umm_json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL09QL_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics Quick Look V006	NSIDC_ECS STAC Catalog	2024-05-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2551528419-NSIDC_ECS.umm_json	ATL09QL is the quick look version of ATL09. Once final ATL09 files are available the corresponding ATL09QL files will be removed.  ATL09 contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
-ATL09_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json	This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL09_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.umm_json	This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
+ATL09_006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2607017115-NSIDC_ECS.umm_json	This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL10QL_006	ATLAS/ICESat-2 L3A Sea Ice Freeboard Quick Look V006	NSIDC_ECS STAC Catalog	2024-06-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2551529078-NSIDC_ECS.umm_json	ATL10QL is the quick look version of ATL10. Once final ATL10 files are available the corresponding ATL10QL files will be removed. ATL10 contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL10_006	ATLAS/ICESat-2 L3A Sea Ice Freeboard V006	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.umm_json	This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL10_006	ATLAS/ICESat-2 L3A Sea Ice Freeboard V006	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2567856357-NSIDC_ECS.umm_json	This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
@@ -2449,30 +2449,30 @@ ATL11_006	ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series V006	NS
 ATL12_006	ATLAS/ICESat-2 L3A Ocean Surface Height V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2560378689-NSIDC_ECS.umm_json	This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL12_006	ATLAS/ICESat-2 L3A Ocean Surface Height V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.umm_json	This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	proprietary
 ATL13QL_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data Quick Look V006	NSIDC_ECS STAC Catalog	2024-06-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2650092501-NSIDC_ECS.umm_json	ATL13QL is the quick look version of ATL13. Once final ATL13 files are available the corresponding ATL13QL files will be removed. ATL13 contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7 km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
-ATL13_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
 ATL13_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2650116584-NSIDC_ECS.umm_json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
+ATL13_006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.umm_json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	proprietary
 ATL14_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003	NSIDC_ECS STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776464127-NSIDC_ECS.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
 ATL14_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V003	NSIDC_CPRD STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776895337-NSIDC_CPRD.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
 ATL14_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004	NSIDC_CPRD STAC Catalog	2019-01-01	2023-12-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3162179692-NSIDC_CPRD.umm_json	This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL14_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004	NSIDC_ECS STAC Catalog	2019-01-01	2023-12-28	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3159684163-NSIDC_ECS.umm_json	This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL15_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003	NSIDC_ECS STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776464171-NSIDC_ECS.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
 ATL15_003	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V003	NSIDC_CPRD STAC Catalog	2019-03-29		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2776895930-NSIDC_CPRD.umm_json	ATL14 and ATL15 bring the time-varying height estimates provided in ATLAS/ICESat-2 L3B Annual Land Ice Height (ATL11) into a gridded format. ATL14 is a high-resolution (100 m) digital elevation model (DEM) that provides spatially continuous gridded data of ice sheet surface height. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR).   ATL15 provides coarser resolution (1 km, 10 km, 20 km, and 40 km) height-change maps at 3-month intervals, allowing for visualization of height-change patterns and calculation of integrated regional volume change.	proprietary
-ATL15_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004	NSIDC_ECS STAC Catalog	2019-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json	This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL15_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004	NSIDC_CPRD STAC Catalog	2019-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3162334027-NSIDC_CPRD.umm_json	This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
+ATL15_004	ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height Change V004	NSIDC_ECS STAC Catalog	2019-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3159684532-NSIDC_ECS.umm_json	This data set contains land ice height changes and change rates for the Antarctic ice sheet and regions around the Arctic gridded at four spatial resolutions (1 km, 10 km, 20 km, and 40 km). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).	proprietary
 ATL16_005	ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2769337070-NSIDC_CPRD.umm_json	This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
 ATL16_005	ATLAS/ICESat-2 L3B Weekly Gridded Atmosphere V005	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2737997243-NSIDC_ECS.umm_json	This product reports weekly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
-ATL17_005	ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json	This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
 ATL17_005	ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005	NSIDC_ECS STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2737997483-NSIDC_ECS.umm_json	This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
-ATL19_003	ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.umm_json	This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.	proprietary
+ATL17_005	ATLAS/ICESat-2 L3B Monthly Gridded Atmosphere V005	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2769338020-NSIDC_CPRD.umm_json	This data set contains a gridded summary of monthly global cloud fraction, total column optical depth over the oceans, polar cloud fraction, blowing snow frequency, apparent surface reflectivity, and ground detection frequency.	proprietary
 ATL19_003	ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003	NSIDC_ECS STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2746899536-NSIDC_ECS.umm_json	This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.	proprietary
-ATL20_004	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2753295020-NSIDC_CPRD.umm_json	ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection.	proprietary
+ATL19_003	ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2754956786-NSIDC_CPRD.umm_json	This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.	proprietary
 ATL20_004	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2666857908-NSIDC_ECS.umm_json	ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection.	proprietary
-ATL21_003	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json	ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.	proprietary
+ATL20_004	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2753295020-NSIDC_CPRD.umm_json	ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection.	proprietary
 ATL21_003	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003	NSIDC_ECS STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2737912334-NSIDC_ECS.umm_json	ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.	proprietary
-ATL22_003	ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003	NSIDC_ECS STAC Catalog	2018-10-14		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json	ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.	proprietary
+ATL21_003	ATLAS/ICESat-2 L3B Daily and Monthly Gridded Polar Sea Surface Height Anomaly V003	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2753316241-NSIDC_CPRD.umm_json	ATL21 contains daily and monthly gridded polar sea surface height (SSH) anomalies, derived from the along-track ATLAS/ICESat-2 L3A Sea Ice Height product (ATL10, V6). The ATL10 product identifies leads in sea ice and establishes a reference sea surface used to estimate SSH in 10 km along-track segments. ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.	proprietary
 ATL22_003	ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003	NSIDC_CPRD STAC Catalog	2018-10-14		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2761722214-NSIDC_CPRD.umm_json	ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.	proprietary
-ATL23_001	ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json	This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.	proprietary
+ATL22_003	ATLAS/ICESat-2 L3B Mean Inland Surface Water Data V003	NSIDC_ECS STAC Catalog	2018-10-14		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json	ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.	proprietary
 ATL23_001	ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001	NSIDC_ECS STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json	This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.	proprietary
+ATL23_001	ATLAS/ICESat-2 L3B Monthly 3-Month Gridded Dynamic Ocean Topography V001	NSIDC_CPRD STAC Catalog	2018-10-13		-180, -88, 180, 88	https://cmr.earthdata.nasa.gov/search/concepts/C2765424272-NSIDC_CPRD.umm_json	This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.	proprietary
 ATLAS_DEALIASED_SASS_L2_1	SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Atlas)	POCLOUD STAC Catalog	1978-07-07	1978-10-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2617197627-POCLOUD.umm_json	Contains wind speeds and directions derived from the Seasat-A Scatterometer (SASS), presented chronologically by swath for the period between 7 July 1978 and 10 October 1978. Robert Atlas et al. (1987) produced this product using an objective ambiguity removal scheme to dealias the wind vector data binned at 100 km cells, which were calculated by Frank Wentz.	proprietary
 ATLAS_Veg_Plots_1541_1	Arctic Vegetation Plots ATLAS Project North Slope and Seward Peninsula, AK, 1998-2000	ORNL_CLOUD STAC Catalog	1998-07-01	2000-07-29	-165.07, 64.73, -153.74, 71.32	https://cmr.earthdata.nasa.gov/search/concepts/C2162120307-ORNL_CLOUD.umm_json	This data set provides environmental, soil, and vegetation data collected from study sites on the North Slope and Seward Peninsula of Alaska during the Arctic Transition in Land-Atmosphere System (ATLAS) project. ATLAS-1 sites on the North Slope, located in Barrow, Atqasuk, Oumalik, and Ivotuk, were sampled in 1998-1999. ATLAS-2 sites located at Council and Quartz Creek on the Seward Peninsula were sampled in 2000. Specific attributes include dominant vegetation species and cover, biomass, soil chemistry and moisture, leaf area index (LAI), normalized difference vegetation index (NDVI), topography and elevation, and plant cover abundance.	proprietary
 ATMOSL1_3	ATMOS L1 Spectra and Runlogs V3 (ATMOSL1) at GES DISC	GES_DISC STAC Catalog	1985-04-30	1994-11-12	-180, -73, 180, 75	https://cmr.earthdata.nasa.gov/search/concepts/C2234896943-GES_DISC.umm_json	This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 1 product containing spectra and runlog (i.e. ) information in a netCDF format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. The transmission spectra are ratioed from ATMOS high sun observations, on a scale of 0 to 1. Data files also include time, geolocation and other information. The data were collected during four space shuttle missions: STS-51B/Spacelab 3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number.	proprietary
@@ -6157,32 +6157,32 @@ GLAH01_033	GLAS/ICESat L1A Global Altimetry Data (HDF5) V033	NSIDC_ECS STAC Cata
 GLAH01_033	GLAS/ICESat L1A Global Altimetry Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547306-NSIDC_CPRD.umm_json	Level-1A altimetry data (GLAH01) include the transmitted and received waveform from the altimeter.  Each data granule has an associated browse product.	proprietary
 GLAH02_033	GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991862-NSIDC_ECS.umm_json	GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.	proprietary
 GLAH02_033	GLAS/ICESat L1A Global Atmosphere Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547430-NSIDC_CPRD.umm_json	GLAH02 Level-1A atmospheric data include the normalized relative backscatter for the 532 nm and 1064 nm channels, and low-level instrument corrections such as laser energy (1064 nm and 532 nm), photon coincidence (532 nm), and detector gain correction (1064 nm). Each data granule has an associated browse product.	proprietary
-GLAH03_033	GLAS/ICESat L1A Global Engineering Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json	Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.	proprietary
 GLAH03_033	GLAS/ICESat L1A Global Engineering Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991863-NSIDC_ECS.umm_json	Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.	proprietary
-GLAH04_033	GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json	Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.	proprietary
+GLAH03_033	GLAS/ICESat L1A Global Engineering Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547514-NSIDC_CPRD.umm_json	Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.	proprietary
 GLAH04_033	GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991864-NSIDC_ECS.umm_json	Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.	proprietary
+GLAH04_033	GLAS/ICESat L1A Global Laser Pointing Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153547635-NSIDC_CPRD.umm_json	Level-1A global laser pointing data (GLAH04) contain two orbits of attitude data from the spacecraft star tracker, instrument star tracker, gyro, and laser reference system, and other spacecraft attitude data required to calculate precise laser pointing.	proprietary
 GLAH05_034	GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549166-NSIDC_CPRD.umm_json	GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization).  Each data granule has an associated browse product.	proprietary
 GLAH05_034	GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000460-NSIDC_ECS.umm_json	GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization).  Each data granule has an associated browse product.	proprietary
 GLAH06_034	GLAS/ICESat L1B Global Elevation Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2033638023-NSIDC_CPRD.umm_json	GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.	proprietary
 GLAH06_034	GLAS/ICESat L1B Global Elevation Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000445-NSIDC_ECS.umm_json	GLAH06 Level-1B Global Elevation is a product that is analogous to the geodetic data records distributed for radar altimetry missions. It contains elevations previously corrected for tides, atmospheric delays, and surface characteristics within the footprint. Elevation is calculated using the ice sheet parameterization. Additional information allows the user to calculate an elevation based on land, sea ice, or ocean algorithms. Each data granule has an associated browse product.	proprietary
 GLAH07_033	GLAS/ICESat L1B Global Backscatter Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549420-NSIDC_CPRD.umm_json	GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.	proprietary
 GLAH07_033	GLAS/ICESat L1B Global Backscatter Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991867-NSIDC_ECS.umm_json	GLAH07 Level-1B global backscatter data are provided at full instrument resolution. The product includes full 532 nm (41.1 to -1.0 km) and 1064 nm (20 to -1 km) calibrated attenuated backscatter profiles at 5 times per second, and from 10 to -1 km, at 40 times per second for both channels. Also included are calibration coefficient values and molecular backscatter profiles at once per second. Data granules contain approximately 190 minutes (2 orbits) of data.  Each data granule has an associated browse product.	proprietary
-GLAH08_033	GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json	GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.	proprietary
 GLAH08_033	GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1631093696-NSIDC_ECS.umm_json	GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.	proprietary
+GLAH08_033	GLAS/ICESat L2 Global Planetary Boundary Layer and Elevated Aerosol Layer Heights (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549511-NSIDC_CPRD.umm_json	GLAH08 Level-2 planetary boundary layer (PBL) and elevated aerosol layer heights data contains PBL heights, ground detection heights, and top and bottom heights of elevated aerosols from -1.5 km to 20.5 km (4 sec sampling rate) and from 20.5 km to 41 km (20 sec sampling rate).  Each data granule has an associated browse product.	proprietary
 GLAH09_033	GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549579-NSIDC_CPRD.umm_json	GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz.  Each data granule has an associated browse product.	proprietary
 GLAH09_033	GLAS/ICESat L2 Global Cloud Heights for Multi-layer Clouds (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991869-NSIDC_ECS.umm_json	GLAH09 Level-2 cloud heights for multi-layer clouds contain cloud layer top and bottom height data at sampling rates of 4 sec, 1 sec, 5 Hz, and 40 Hz.  Each data granule has an associated browse product.	proprietary
-GLAH10_033	GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-09-25	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json	GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.	proprietary
 GLAH10_033	GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-09-25	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549654-NSIDC_CPRD.umm_json	GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.	proprietary
+GLAH10_033	GLAS/ICESat L2 Global Aerosol Vertical Structure Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-09-25	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991870-NSIDC_ECS.umm_json	GLAH10 Level-2 aerosol vertical structure data contain the attenuation-corrected cloud and aerosol backscatter and extinction profiles at a 4 sec sampling rate for aerosols and a 1 sec rate for clouds.  Each data granule has an associated browse product.	proprietary
 GLAH11_033	GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549738-NSIDC_CPRD.umm_json	GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.	proprietary
 GLAH11_033	GLAS/ICESat L2 Global Thin Cloud/Aerosol Optical Depths Data (HDF5) V033	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C189991871-NSIDC_ECS.umm_json	GLAH11 Level-2 thin cloud/aerosol optical depths data contain thin cloud and aerosol optical depths. A thin cloud is one that does not completely attenuate the lidar signal return, which generally corresponds to clouds with optical depths less than about 2.0. Each data granule has an associated browse product.	proprietary
-GLAH12_034	GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH12_034	GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549818-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
+GLAH12_034	GLAS/ICESat L2 Global Antarctic and Greenland Ice Sheet Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000461-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH13_034	GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000464-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH13_034	GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153549910-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH14_034	GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000443-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH14_034	GLAS/ICESat L2 Global Land Surface Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153551318-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
-GLAH15_034	GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLAH15_034	GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034	NSIDC_CPRD STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C2153552369-NSIDC_CPRD.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
+GLAH15_034	GLAS/ICESat L2 Ocean Altimetry Data (HDF5) V034	NSIDC_ECS STAC Catalog	2003-02-20	2009-10-11	-180, -86, 180, 86	https://cmr.earthdata.nasa.gov/search/concepts/C1000000420-NSIDC_ECS.umm_json	GLAH06 is used in conjunction with GLAH05 to create the Level-2 altimetry products. Level-2 altimetry data provide surface elevations for ice sheets (GLAH12), sea ice (GLAH13), land (GLAH14), and oceans (GLAH15). Data also include the laser footprint geolocation and reflectance, as well as geodetic, instrument, and atmospheric corrections for range measurements. The Level-2 elevation products, are regional products archived at 14 orbits per granule, starting and stopping at the same demarcation (± 50° latitude) as GLAH05 and GLAH06. Each regional product is processed with algorithms specific to that surface type. Surface type masks define which data are written to each of the products. If any data within a given record fall within a specific mask, the entire record is written to the product. Masks can overlap: for example, non-land data in the sea ice region may be written to the sea ice and ocean products. This means that an algorithm may write the same data to more than one Level-2 product. In this case, different algorithms calculate the elevations in their respective products. The surface type masks are versioned and archived at NSIDC, so users can tell which data to expect in each product.  Each data granule has an associated browse product.	proprietary
 GLCHMK_001	G-LiHT Canopy Height Model KML V001	LPCLOUD STAC Catalog	2011-06-30		-170, 10, -50, 73	https://cmr.earthdata.nasa.gov/search/concepts/C2763264695-LPCLOUD.umm_json	Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.    The purpose of G-LiHT’s Canopy Height Model Keyhole Markup Language (KML) data product (GLCHMK) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed.      GLCHMK data are processed as a Google Earth overlay KML file at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format. 	proprietary
 GLCHMT_001	G-LiHT Canopy Height Model V001	LPCLOUD STAC Catalog	2011-06-30		-170, 10, -50, 73	https://cmr.earthdata.nasa.gov/search/concepts/C2763264702-LPCLOUD.umm_json	Goddard’s LiDAR, Hyperspectral, and Thermal Imager (G-LiHT(https://gliht.gsfc.nasa.gov/)) mission utilizes a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico.    The purpose of G-LiHT’s Canopy Height Model data product (GLCHMT) is to provide LiDAR-derived maximum canopy height and canopy variability information to aid in the study and analysis of biodiversity and climate change. Scientists at NASA’s Goddard Space Flight Center began collecting data over locally-defined areas in 2011 and that the collection will continue to grow as aerial campaigns are flown and processed.    GLCHMT data are processed as a raster data product (GeoTIFF) at a nominal 1 meter spatial resolution over locally-defined areas. A low resolution browse is also provided showing the canopy height with a color map applied in JPEG format.   	proprietary
 GLDAS_CLM10SUBP_3H_001	GLDAS CLM Land Surface Model L4 3 hourly 1.0 x 1.0 degree Subsetted V001 (GLDAS_CLM10SUBP_3H) at GES DISC	GES_DISC STAC Catalog	1979-01-02	2020-03-31	-180, -60, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1279404074-GES_DISC.umm_json	With the upgraded Land Surface Models (LSMs) and updated forcing data sets, the GLDAS version 2.1 (GLDAS-2.1) production stream serves as a replacement for GLDAS-001.  The entire GLDAS-001 collection from January 1979 through March 2020 was decommissioned on June 30, 2020 and removed from the GES DISC system.  However, the replacement for GLDAS-001 monthly and 3-hourly 1.0 x 1.0 degree products from CLM Land Surface Model  currently are not available yet. Once their replacement data products become available, the DOIs of GLDAS-001 CLM data products will direct to the GLDAS-2.1 CLM data products.  This data set contains a series of land surface parameters simulated from the Common Land Model (CLM) V2.0 model in the Global Land Data Assimilation System (GLDAS). The data are in 1.0 degree resolution and range from January 1979 to present. The temporal resolution is 3-hourly.   This simulation was forced by a combination of NOAA/GDAS atmospheric analysis fields, spatially and temporally disaggregated NOAA Climate Prediction Center Merged Analysis of Precipitation (CMAP) fields, and observation based downward shortwave and longwave radiation fields derived using the method of the Air Force Weather Agency's AGRicultural METeorological modeling system (AGRMET). The simulation was initialized on 1 January 1979 using soil moisture and other state fields from a GLDAS/CLM model climatology for that day of the year.   WGRIB or another GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units.   For more information, please see the README document.	proprietary
@@ -11544,8 +11544,8 @@ OMAEROZ_003	OMI/Aura Aerosol product Multi-wavelength Algorithm Zoomed 1-Orbit L
 OMAERO_003	OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERO) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966755-GES_DISC.umm_json	The Level-2 Aura Ozone Monitoring Instrument (OMI) Aerosol Product (OMAERO) is now available from NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for public access. This is the second public release of version 003. The data was re-processed in late 2011 using an improved algorithm (processing version 1.2.3.1). After some quick validation the reprocessed data was released to the public in March 2012. The shortname for this Level-2 Aerosol Product is OMAERO_V003. There are two Level-2 Aura OMI aerosol products OMAERUV and OMAERO. The OMAERUV product uses the near-UV algorithm. The OMAERO product is based on the multi-wavelength algorithm and that uses up to 20 wavelength bands between 331 nm and 500 nm. OMAERO retrieval algorithm is developed by the KNMI OMI Team Scientists. Drs. Deborah Stein-Zweers, Martin Sneep and Pepijn Veefkind are now the key investigators of this product. The OMAERO product contains Aerosol Optical Depths, Single Scattering Albedo, and other ancillary and geolocation information.  The OMAERO files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERO data product is about 6 Mbytes.	proprietary
 OMAEROe_003	OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMAEROe) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136062-GES_DISC.umm_json	The OMI science team produces this Level-3 Aura/OMI Global Aerosol Data Products OMAEROe (0.25deg Lat/Lon grids). The OMAEROe product selects best aerosol value from the Level2G good quality data that are reported in each grid, based on the multi-wavelength algorithm that uses up to 20 wavelength bands between 331 nm and 500 nm.  The selection criteria is based on the shortest optical path length (secant of solar zenith angle + secant of viewing zenith angle).  The OMAEROe files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAEROe data product is about 7 Mbytes. (The shortname for this Level-3 Global Gridded Aerosol Product is OMAEROe)	proprietary
 OMAERUVG_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMAERUVG) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136097-GES_DISC.umm_json	This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 AERUV product OMAERUV. This Level-2G daily global gridded product OMAERUVG is based on the pixel level OMI Level-2 Aerosol product OMAERUV. OMAERUVG data product is a special Level-2 gridded product where pixel level products are binned into 0.25x0.25 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMAERUVG files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits mapped on the Global 0.25x0.25 deg Grids. The maximum file size for the OMAERUVG data product is about 50 Mbytes.	proprietary
-OMAERUV_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json	The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ 	proprietary
 OMAERUV_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 (OMAERUV) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966768-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data are available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). The shortname for this Level-2 near-UV Aerosol Product is OMAERUV_V003. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes.	proprietary
+OMAERUV_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.umm_json	The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ 	proprietary
 OMAERUV_004	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V004 (OMAERUV) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3185856256-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument level-2 near UV Aerosol data product OMAERUV (Version 004) is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) for the public access. The OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Optical Depth, Aerosol Single Scattering Albedo, Absorption Optical Depth, UV Aerosol Index, and Aerosol Optical Depth over clouds at three wavelengths (354, 388, and 500 nm), and other ancillary and geolocation parameters, in the OMI field of view (13x24 km).  The OMAERUV files are stored in the  version 4.0 Network Common Data Form (NetCDF). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 17 Mbytes.	proprietary
 OMAERUV_CPR_003	OMI/Aura Level 2 Near UV Aerosol Optical Depth and Single Scattering Albedo 200-m swath subset along CloudSat track V003 (OMAERUV_CPR) at GES DISC	GES_DISC STAC Catalog	2006-06-01	2017-05-10	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350969-GES_DISC.umm_json	This is a CloudSat-collocated subset of the original OMI product OMAERUV, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications.              (The shortname for this CloudSat-collocated OMI Level 2 near-UV aerosol subset is OMAERUV_CPR_003)	proprietary
 OMAERUVd_003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo L3 1 day 1.0 degree x 1.0 degree V3 (OMAERUVd) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136096-GES_DISC.umm_json	The OMI science team produces this Level-3 daily global gridded product OMAERUVd (1 deg Lat/Lon grids). The OMAERUVd product is produced with all data pixels that fall in a grid box with quality filtered and then averaged, based on the pixel level OMI Level-2 Aerosol data product OMAERUV. The OMAERUV data product is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data. The OMAERUVd data product contains extinction and absorption optical depths at three wavelenghts (355 nm, 388 nm and 500 nm).   The OMAERUVd files are stored in version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMAERUVd data product is about 0.2 Mbytes.	proprietary
@@ -11633,8 +11633,8 @@ OMPS_NPP_NPBUVO3_L2_2	OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital	G
 OMPS_NPP_NPBUVO3_L2_2.9	OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital V2.9 (OMPS_NPP_NPBUVO3_L2) at GES DISC	GES_DISC STAC Catalog	2011-11-13		-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C2821060582-GES_DISC.umm_json	The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm.  Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The files are written using the Hierarchical Data Format Version 5 or HDF5.	proprietary
 OMPS_NPP_NPEV_L1B_2	OMPS/NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital V2 (OMPS_NPP_NPEV_L1B) at GES DISC	GES_DISC STAC Catalog	2011-11-13		-180, -82, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1279850611-GES_DISC.umm_json	The OMPS-NPP L1B NP Radiance EV Calibrated Geolocated Swath Orbital collection contains calibrated and geolocated radiances from 300 to 380 nm measured by the OMPS Nadir-Profiler sensor on the Suomi-NPP satellite.  Each granule typically contains data from the daylight portion of a single orbit (about 50 minutes). Spatial coverage is nearly global (-82 to 82 degrees latitude), and there are about 14.5 orbits per day each with a single nadir measurement along the satellite track.	proprietary
 OMSO2G_003	OMI/Aura Sulphur Dioxide (SO2) Total Column Daily L2 Global Gridded 0.125 degree x 0.125 degree V3 (OMSO2G) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136113-GES_DISC.umm_json	This Level-2G daily global gridded product OMSO2G is based on the pixel level OMI Level-2 SO2 product OMSO2.  OMSO2G data product is a special Level-2 gridded product where pixel level products are binned into 0.125x0.125 degree global grids. It contains the data for all scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999 . All data pixels that fall in a grid box are saved without averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMSO2G data product contains almost all parameters that are contained in OMSO2 files. For example, in addition to three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm, and ancillary parameters, e.g., UV aerosol index, cloud fraction, cloud pressure, geolocation, solar and satellite viewing angles, and quality flags.  The OMSO2G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 146 Mbytes.	proprietary
-OMSO2_003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources.  Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li.  The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.	proprietary
 OMSO2_003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.umm_json	The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/	proprietary
+OMSO2_003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 (OMSO2) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1239966837-GES_DISC.umm_json	The Aura Ozone Monitoring Instrument (OMI) level 2 sulphur dioxide (SO2) total column product (OMSO2) has been updated with a principal component analysis (PCA)-based algorithm (v2) with new SO2 Jacobian lookup tables and a priori profiles that significantly improve retrievals for anthropogenic SO2. The data files (or granules) contain different estimates of the vertical column density (VCD) of SO2 depending on the users investigating anthropogenic or volcanic sources.  Files also contain quality flags, geolocation and other ancillary information. The lead scientist for the OMSO2 product is Can Li.  The OMSO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the daylit half of an orbit (~53 minutes). There are approximately 14 orbits per day. The resolution of the data is 13x24 km2 at nadir, with a swath width of 2600 km and 60 pixels per scan line every 2 seconds.	proprietary
 OMSO2_CPR_003	OMI/Aura Level 2 Sulphur Dioxide (SO2) Trace Gas Column Data 1-Orbit Subset and Collocated Swath along CloudSat V003 (OMSO2_CPR) at GES DISC	GES_DISC STAC Catalog	2006-06-01	2018-03-02	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350970-GES_DISC.umm_json	"This is a CloudSat-collocated subset of the original product OMSO2, for the purposes of the A-Train mission.  The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. Even though collocated with CloudSat, this subset can serve many other A-Train applications.  (The shortname for this CloudSat-collocated subset of the original product OMSO2 Product is OMSO2_CPR_V003)              This document describes the original OMI SO2 product (OMSO2) produced from global mode UV measurements of the Ozone Monitoring Instrument (OMI). OMI was launched on July 15, 2004 on the EOS Aura satellite, which is in a sun-synchronous ascending polar orbit with 1:45pm local equator crossing time. The data collection started on August 17, 2004 (orbit 482) and continues to this day with only minor data gaps. The minimum SO2 mass detectable by OMI is about two orders of magnitude smaller than the detection threshold of the legacy Total Ozone Mapping Spectrometer (TOMS) SO2 data (1978-2005) [Krueger et al 1995]. This is due to smaller OMI footprint and the use of wavelengths better optimized for separating O3 from SO2.  The product file, called a data granule, covers the sunlit portion of the orbit with an approximately 2600 km wide swath containing 60 pixels per viewing line. During normal operations, 14 or 15 granules are produced daily, providing fully contiguous coverage of the globe. Currently, OMSO2 products are not produced when OMI goes into the ""zoom mode"" for one day every 452 orbits (~32 days). For each OMI pixel we provide 4 different estimates of the column density of SO2 in Dobson Units (1DU=2.69x10^16 molecules/cm2) obtained by making different assumptions about the vertical distribution of the SO2. However, it is important to note that in most cases the precise vertical distribution of SO2 is unimportant. The users can use either the SO2 plume height, or the center of mass altitude (CMA) derived from SO2 vertical distribution, to interpolate between the 4 values:   1)Planetary Boundary Layer (PBL) SO2 column (ColumnAmountSO2_PBL), corresponding to CMA of 0.9 km. 2)Lower tropospheric SO2 column (ColumnAmountSO2_TRL), corresponding to CMA of 2.5 km. 3)Middle tropospheric SO2 column, (ColumnAmountSO2_TRM), usually produced by volcanic degassing, corresponding to CMA of 7.5 km,   4)Upper tropospheric and Stratospheric SO2 column (ColumnAmountSO2_STL), usually produced by explosive volcanic eruption, corresponding to CMA of 17 km.   The accuracy and precision of the derived SO2 columns vary significantly with the SO2 CMA and column amount, observational geometry, and slant column ozone. OMI becomes more sensitive to SO2 above clouds and snow/ice, and less sensitive to SO2 below clouds. Preliminary error estimates are discussed below (see Data Quality Assessment).   OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 9 Mbytes."	proprietary
 OMSO2e_003	OMI/Aura Sulfur Dioxide (SO2) Total Column Daily L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3 (OMSO2e) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136112-GES_DISC.umm_json	"The OMI science team produces this Level-3 Aura/OMI Global OMSO2e Data Products (0.25 degree Latitude/Longitude grids). In this Level-3 daily global SO2 data product, each grid contains only one observation of Total Column Density of SO2 in the Planetary Boundary Layer (PBL), based on an improved Principal Component Analysis (PCA) Algorithm. This single observation is the ""best pixel"", selected from all ""good"" L2 pixels of OMSO2 that overlap this grid and have UTC time between UTC times of 00:00:00 and 23:59:59.999. In addition to the SO2 Vertical column value some ancillary parameters, e.g., cloud fraction, terrain height, scene number, solar and satellite viewing angles, row anomaly flags, and quality flags have been also made available corresponding to the best selected SO2 data pixel in each grid.  The OMSO2e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the grid model."	proprietary
 OMTO3G_003	OMI/Aura Ozone (O3) Total Column Daily L2 Global Gridded 0.25 degree x 0.25 degree V3 (OMTO3G) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136114-GES_DISC.umm_json	This Level-2G daily global gridded product OMTO3G is based on the pixel level OMI Level-2 Total Ozone Product OMTO3. The OMTO3 product is from the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. The OMTO3G data product is a special Level-2 Global Gridded Product where pixel level data are binned into 0.25x0.25 degree global grids. It contains the data for all L2 scenes that have observation time between UTC times of 00:00:00 and 23:59:59.9999. All data pixels that fall in a grid box are saved Without Averaging. Scientists can apply a data filtering scheme of their choice and create new gridded products.  The OMTO3G data product contains almost all parameters that are contained in the OMTO3. For example, in addition to the total column ozone it also contains  UV aerosol index, cloud fraction, cloud pressure, terrain height, geolocation, solar and satellite viewing angles, and quality flags.  The OMTO3G files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3G data product is about 150 Mbytes.	proprietary
@@ -11642,8 +11642,8 @@ OMTO3_003	OMI/Aura Ozone(O3) Total Column 1-Orbit L2 Swath 13x24 km V003 (OMTO3)
 OMTO3_003	OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.umm_json	The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA  for the public access.  The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that  essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/  http://www.knmi.nl/omi/research/documents/ .        Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .	proprietary
 OMTO3_CPR_003	OMI/Aura Level 2 Ozone (O3) Total Column 1-Orbit Subset and Collocated Swath along CloudSat track 200-km wide at 13x24 km2 resolution	GES_DISC STAC Catalog	2006-06-01	2018-03-02	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236350982-GES_DISC.umm_json	This is a CloudSat-collocated subset of the original product OMTO3, for the purposes of the A-Train mission. The goal of the subset is to select and return OMI data that are within +/-100 km across the CloudSat track. The resultant OMI subset swath is sought to be about 200 km cross-track of CloudSat. This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. Even though collocated with CloudSat, this subset can serve many other A-Train applications.             (The shortname for this CloudSat-collocated OMI Level 2 Total Ozone Column subset is OMTO3_CPR_V003)	proprietary
 OMTO3d_003	OMI/Aura TOMS-Like Ozone, Aerosol Index, Cloud Radiance Fraction L3 1 day 1 degree x 1 degree V3 (OMTO3d) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136070-GES_DISC.umm_json	The OMI science team produces this Level-3 daily global TOMS-Like Total Column Ozone gridded product OMTO3d (1 deg Lat/Lon grids). The OMTO3d product is produced by gridding and averaging only good quality level-2 total column ozone orbital swath data (OMTO3, based on the enhanced TOMS version-8 algorithm) on the 1x1 degree global grids.  The OMTO3d files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3d data product is about 0.65 Mbytes.	proprietary
-OMTO3e_003	OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json	The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .	proprietary
 OMTO3e_003	OMI/Aura TOMS-Like Ozone and Radiative Cloud Fraction L3 1 day 0.25 degree x 0.25 degree V3 (OMTO3e) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1266136071-GES_DISC.umm_json	The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles.  The OMTO3e files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes.	proprietary
+OMTO3e_003	OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT	OMINRT STAC Catalog	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.umm_json	The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .	proprietary
 OMUANC_004	Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUANC) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2556143653-GES_DISC.umm_json	The Primary Ancillary Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km (OMUANC) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath.  The fields in this product include snow cover, sea ice cover, land cover, terrain height, row anomaly flag, and pixel area. The OMI team also provides a corresponding product for the OMI VIS swath, OMVANC. This product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir.  The OMUANC files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools.  Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official.	proprietary
 OMUFPITMET_003	GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura UV-2 1-Orbit L2 Support Swath 13x24km V3 (OMUFPITMET) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1561222825-GES_DISC.umm_json	The GEOS-5 FP-IT Assimilation Geo-colocated to OMI/Aura UV-2 1-Orbit L2 Support Swath 13x24km (OMUFPITMET) provides selected parameters from GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath.    The fields in this product include surface pressure, vertical temperature profiles, surface and vertical wind profiles, tropopause pressure, boundary layer top pressure, and surface geopotenial. The OMI team also provides a corresponding product for the OMI VIS swath, OMVFPITMET.  The product has been generated for convenient use by the OMI/Aura team in their L2 algorithms, and for research where those L2 products are used.  The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir.  To reduce the size of each orbital file, FP-IT data fields with a vertical dimension of 72 layers have been reduced to 47 layers in OMUFPITMET by combining layers above the troposphere.   The OMUFPITMET files are in netCDF4 format which is compatible with most HDF5 readers and tools.  Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official.	proprietary
 OMUFPMET_004	GEOS-5 FP-IT 3D Time-Averaged Model-Layer Assimilated Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km V4 (OMUFPMET) at GES DISC	GES_DISC STAC Catalog	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2556146042-GES_DISC.umm_json	The GEOS-5 FP-IT 3D Time-Averaged Model-Layer Assimilated Data Geo-Colocated to OMI/Aura UV2 1-Orbit L2 Swath 13x24km (OMUFPMET) product provides selected meteorlogical fields from the GEOS-5 Forward Processing for Instrument Teams (FP-IT) assimilated product produced by the Global Modeling and Assimilation Office (GMAO) co-located in space and time with the OMI UV-2 swath.  The fields in this product include layer pressure thickness, surface pressure, vertical temperature profiles, surface potential, and mid-layer pressure along with geolocation info. The OMI team also provides a corresponding product for the OMI VIS swath, OMVFPMET. The OMI ancillary products were developed to provide supplementary information for use with the OMI collection 4 L1B data sets. The original GEOS-5 FP-IT data are reported on a 0.625 deg longitude by 0.5 deg latitude grid, whereas the OMI UV-2 spatial resolution is 13km x 24km at nadir.  The OMUFPMET files are in netCDF4 format which is compatible with most netCDF and HDF5 readers and tools.  Each file is approximately 45mb in size. The lead for this product is Zachary Fasnacht of SSAI. Joanna Joiner is the responsible NASA official.	proprietary
@@ -12351,7 +12351,6 @@ SFC_NITROGEN_DIOXIDE_CONC_1	Nitrogen Dioxide Surface-Level Annual Average Concen
 SFMBON_0	South Florida Marine Biodiversity Observation Network (SFMBON)	OB_DAAC STAC Catalog	2015-07-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1934268141-OB_DAAC.umm_json	The South Florida Marine Biodiversity Observation Network (SFMBON) build on the foundations laid by the present Sanctuaries MBON demonstration. A close partnership with NOAA AOML and the FKNMS has focused on periodic MBON surveys of the Florida Keys since 2014. The South Florida MBON seeks to integrate ground and satellite observations related to biodiversity to inform ecosystem-based management in and around the Florida Keys National Marine Sanctuary (FKNMS).	proprietary
 SFP_0	South Florida Program (SFP)	OB_DAAC STAC Catalog	2012-02-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360659-OB_DAAC.umm_json	South Florida Program (SFP)	proprietary
 SGER_0	Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003	OB_DAAC STAC Catalog	2003-11-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360660-OB_DAAC.umm_json	Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.	proprietary
-SHIFT_AVIRISNG_L2A_refl_2376_1	SHIFT: AVIRIS-NG L2A Unrectified Surface Reflectance Version 1	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-29	-120.64, 33.86, -117.85, 34.9	https://cmr.earthdata.nasa.gov/search/concepts/C3255170754-ORNL_CLOUD.umm_json	This dataset contains Level 2A (L2A) unrectified surface reflectance images from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range.  The AVIRIS-NG L2A data are provided in ENVI binary format, which includes a flat binary file accompanied by a header (.hdr) file holding metadata in text format.	proprietary
 SHIFT_AVNG_Canopy_WaterContent_2242_1	SHIFT: AVIRIS-NG Derived Gridded Mosaicked Canopy Water Content, California, 2022	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-17	-120.63, 34.35, -119.87, 34.91	https://cmr.earthdata.nasa.gov/search/concepts/C2755452168-ORNL_CLOUD.umm_json	This dataset provides per-pixel vegetation canopy water content (CWC) derived from surface reflectance measured by the Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument from 2022-02-24 to 2022-05-17. This imagery was acquired as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. AVIRIS-NG measures reflected radiance in 425 bands at 5-nanometer (nm) intervals in the visible to shortwave infrared spectral range between 380 and 2510 nm. Measurements were radiometrically and geometrically calibrated as well as atmospherically corrected, and are provided at approximately 5-meter spatial resolution. These data include mosaics of several flight lines that were flown on a weekly basis covering a 640-square-mile (1,656-square-kilometer) study area, which stretches from Los Padres National Forest in the east to the Central California coast and into the coastal ocean in the west, including Dangermond Preserve and UCSB's Sedgwick Reserve. These data will help track changes in vegetation characteristics from late winter through early summer by providing insights into health and resilience of ecosystems as California's climate grows drier. In particular, temporal and spatial patterns of CWC will indicate drought stress and increased wildfire risk. The CWC files in this publication were processed by applying a simple fitting of spectral absorption features of liquid water and are distributed in cloud-optimized GeoTIFF (COG) format.	proprietary
 SHIFT_AVNG_FullRes_QkLook_2189_1	SHIFT: AVIRIS-NG Full-Resolution True Color Images	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-17	-120.64, 34.36, -119.48, 34.9	https://cmr.earthdata.nasa.gov/search/concepts/C2844912911-ORNL_CLOUD.umm_json	This dataset holds full-resolution 3-band (true color) imagery acquired by NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign which occurred during February to May, 2022, with a follow up activity for one week in September. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures radiance at approximately 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The images in this dataset are true color (RGB) images from the wavelengths centered at approximately 808, 658, and 563 nm, subset from the full spectrum collected by AVIRIS-NG. The spatial resolution matches the native observed resolution (variable depending on the flightline, generally finer than 5 m and down to 2 m). There are two files for each flight line, one in PNG and one in georeferenced cloud-optimized GeoTIFF format; the GeoTIFF contains radiance floating point values while the PNG has been scaled and converted to integers.	proprietary
 SHIFT_AVNG_L1A_RDN_unrec_2184_1	SHIFT: AVIRIS-NG L1A Unrectified Radiance	ORNL_CLOUD STAC Catalog	2022-02-24	2022-05-29	-120.64, 33.9, -119.45, 34.9	https://cmr.earthdata.nasa.gov/search/concepts/C2769459290-ORNL_CLOUD.umm_json	This dataset contains Level 1A (L1A) unrectified surface radiance image files as well as files of observational geometry and illumination parameters and supporting sensor band information from NASA's Airborne Visible / Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) instrument. This imagery was collected as part of the Surface Biology and Geology High-Frequency Time Series (SHIFT) campaign. The SHIFT campaign leveraged NASA's AVIRIS-NG facility instrument to collect VSWIR data at approximately a weekly cadence across a broad study area, enabling traceability analyses related to the science value of VSWIR revisits. This campaign will generate precise, high-frequency data on plant communities collected over nearly 1,656 square kilometers across Santa Barbara County, California, US, and nearby coastal Pacific waters. AVIRIS-NG is a pushbroom spectral mapping system with high signal-to-noise ratio (SNR), designed and toleranced for high performance spectroscopy. AVIRIS-NG measures reflected radiance at 5-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 380-2510 nm. The AVIRIS-NG sensor has a 1 milliradian instantaneous field of view, providing altitude dependent ground sampling distances from 20 m to sub-meter range. In this dataset, for each flight line, four file types are included: unrectified measured surface radiance image (rdn) files, geometric lookup table (glt), gridded files of input geometry (igm), and parameters relating to the geometry of observation and illumination rendered using the geometric lookup table (obs). The AVIRIS-NG L1B data are provided in ENVI binary format, which includes a flat binary file (bin) accompanied by a header (hdr) file holding metadata in text format.	proprietary