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---
syncID: 317ecab8e00b4a959a76dba181bb33b8
title: "Download and work with NEON Aquatic Instrument Data"
description: "Tutorial for downloading NEON AIS data using the neonUtilities package and then exploring and understanding the downloaded data"
description: "Download NEON AIS data using the neonUtilities package and explore and interpret the downloaded data"
dateUpdates: 2024-01-08
authors: Bobby Hensley
contributors: Guy Litt
Expand All @@ -27,7 +27,7 @@ interpreting quality flags.
After completing this activity, you will be able to:

* Download NEON AIS data using the `neonUtilities` package.
* Understand how data sets and formatted and load them into R for analyses.
* Understand how data sets are formatted and load them into R for analyses.
* Separate data collected at different sensor locations using the HOR variable.
* Understand and filter data using quality flags.

Expand All @@ -37,7 +37,7 @@ preferably, RStudio loaded on your computer.

### Install R Packages

* **neonUtilities**: Basic functions for accessing NEON data
* **neonUtilities**: Basic functions for accessing and working with NEON data
* **ggplot2**: Plotting functions

These packages are on CRAN and can be installed by
Expand All @@ -61,7 +61,7 @@ a workflow you run repeatedly, keep in mind it will re-download the
data every time.

Before we get the NEON data, we need to install (if not already done) and load
the neonUtilities R package, as well as other packages we will use in the
the `neonUtilities` R package, as well as other packages we will use in the
analysis.

```{r set-up-env, eval=F}
Expand Down Expand Up @@ -102,7 +102,8 @@ data and warn you about the size of your download? Defaults to T; if
you are using this function within a script or batch process you
will want to set this to F.
* `token`: this allows you to input your NEON API token to obtain faster
downloads.
downloads.

Learn more about NEON API tokens in the <a href="https//:www.neonscience.org/neon-api-tokens-tutorial" target="_blank">**Using an API Token when Accessing NEON Data with neonUtilities** tutorial</a>.

There are additional inputs you can learn about in the
Expand Down Expand Up @@ -232,7 +233,7 @@ because provisional data is non-static.
# which release is the data from?
unique(waq_instantaneous$release)
```
Learn more about data versioning and appropriately reuse of NEON data on the <a href="https://www.neonscience.org/data-samples/guidelines-policies" target="_blank">**NEON Data Guidelines and Policy** page</a>.
Learn more about data versioning and appropriately reuse of NEON data on the <a href="https://www.neonscience.org/data-samples/guidelines-policies" target="_blank">**NEON Data Guidelines and Policy**</a> page.

## Data from Different Sensor Locations

Expand Down Expand Up @@ -414,7 +415,7 @@ download.
Note that the automated quality flag algorithms are not perfect, and suspect
data points may occasionally pass the quality tests. Other times potentially
useful data may get quality flagged. Ultimately it is up to the user to decide
which data they are comfortable using, which is why we recomend using the
which data they are comfortable using, which is why we recommend using the
expanded data package to better understand why data are being flagged.

## Replot, with quality flags filtered by color
Expand All @@ -435,7 +436,7 @@ doPlot

## Apply what we've learned Part 1 - Temperature of Surface Water

Applying what we've leaned, let's look at a different data product,Temperature
Applying what we've learned, let's look at a different data product,Temperature
of Surface Water (DP1.20053.001). Can you download for the same site and month
that we just looked at for water quality?

Expand Down
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Expand Up @@ -90,7 +90,7 @@ <h2 id="objectives">Objectives</h2>
<p>After completing this activity, you will be able to:</p>
<ul>
<li>Download NEON AIS data using the <code>neonUtilities</code> package.</li>
<li>Understand how data sets and formatted and load them into R for analyses.</li>
<li>Understand how data sets are formatted and load them into R for analyses.</li>
<li>Separate data collected at different sensor locations using the HOR variable.</li>
<li>Understand and filter data using quality flags.</li>
</ul>
Expand All @@ -99,7 +99,7 @@ <h2 id="things-you-ll-need-to-complete-this-tutorial">Things You’ll Need To Co
preferably, RStudio loaded on your computer.</p>
<h3 id="install-r-packages">Install R Packages</h3>
<ul>
<li><strong>neonUtilities</strong>: Basic functions for accessing NEON data</li>
<li><strong>neonUtilities</strong>: Basic functions for accessing and working with NEON data</li>
<li><strong>ggplot2</strong>: Plotting functions</li>
</ul>
<p>These packages are on CRAN and can be installed by
Expand All @@ -119,7 +119,7 @@ <h2 id="download-files-and-load-directly-to-r-loadbyproduct">Download Files and
a workflow you run repeatedly, keep in mind it will re-download the
data every time.</p>
<p>Before we get the NEON data, we need to install (if not already done) and load
the neonUtilities R package, as well as other packages we will use in the
the <code>neonUtilities</code> R package, as well as other packages we will use in the
analysis.</p>
<pre><code># Install neonUtilities package if you have not yet.

Expand Down Expand Up @@ -163,9 +163,9 @@ <h2 id="download-files-and-load-directly-to-r-loadbyproduct">Download Files and
you are using this function within a script or batch process you
will want to set this to F.</li>
<li><code>token</code>: this allows you to input your NEON API token to obtain faster
downloads.
Learn more about NEON API tokens in the <a href="https//:www.neonscience.org/neon-api-tokens-tutorial" target="_blank"><strong>Using an API Token when Accessing NEON Data with neonUtilities</strong> tutorial</a>.</li>
downloads.</li>
</ul>
<p>Learn more about NEON API tokens in the <a href="https//:www.neonscience.org/neon-api-tokens-tutorial" target="_blank"><strong>Using an API Token when Accessing NEON Data with neonUtilities</strong> tutorial</a>.</p>
<p>There are additional inputs you can learn about in the
<a href="https//:www.neonscience.org/neonDataStackR" target="_blank"><strong>Use the neonUtilities R Package to Access NEON Data</strong> tutorial</a>.</p>
<p>The <code>dpID</code> is the data product identifier of the data you want to
Expand Down Expand Up @@ -285,7 +285,7 @@ <h2 id="data-versioning-and-citation">Data versioning and citation</h2>

## [1] &quot;RELEASE-2023&quot;
</code></pre>
<p>Learn more about data versioning and appropriately reuse of NEON data on the <a href="https://www.neonscience.org/data-samples/guidelines-policies" target="_blank"><strong>NEON Data Guidelines and Policy</strong> page</a>.</p>
<p>Learn more about data versioning and appropriately reuse of NEON data on the <a href="https://www.neonscience.org/data-samples/guidelines-policies" target="_blank"><strong>NEON Data Guidelines and Policy</strong></a> page.</p>
<h2 id="data-from-different-sensor-locations">Data from Different Sensor Locations</h2>
<p>NEON often collects the same type of data from sensors in different locations.
These data are delivered together but you will frequently want to plot the data
Expand Down Expand Up @@ -529,7 +529,7 @@ <h2 id="examine-quality-flagged-data">Examine Quality Flagged Data</h2>
<p>Note that the automated quality flag algorithms are not perfect, and suspect
data points may occasionally pass the quality tests. Other times potentially
useful data may get quality flagged. Ultimately it is up to the user to decide
which data they are comfortable using, which is why we recomend using the
which data they are comfortable using, which is why we recommend using the
expanded data package to better understand why data are being flagged.</p>
<h2 id="replot-with-quality-flags-filtered-by-color">Replot, with quality flags filtered by color</h2>
<p>Let’s replot the data with any quality flagged measurements set to a different
Expand All @@ -548,7 +548,7 @@ <h2 id="replot-with-quality-flags-filtered-by-color">Replot, with quality flags
</code></pre>
<p><img src="https://raw.githubusercontent.com/NEONScience/NEON-Data-Skills/main/tutorials/R/AIS-data/AIS-QF-tutorial/download-NEON-AIS-data/rfigs/plot-waq-do-flags-1.png" alt=" " /></p>
<h2 id="apply-what-we-ve-learned-part-1-temperature-of-surface-water">Apply what we’ve learned Part 1 - Temperature of Surface Water</h2>
<p>Applying what we’ve leaned, let’s look at a different data product,Temperature
<p>Applying what we’ve learned, let’s look at a different data product,Temperature
of Surface Water (DP1.20053.001). Can you download for the same site and month
that we just looked at for water quality?</p>
<pre><code># download continuous discharge data
Expand Down
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
---
syncID: 317ecab8e00b4a959a76dba181bb33b8
title: "Download and work with NEON Aquatic Instrument Data"
description: "Tutorial for downloading NEON AIS data using the neonUtilities package and then exploring and understanding the downloaded data"
description: "Download NEON AIS data using the neonUtilities package and explore and interpret the downloaded data"
dateUpdates: 2024-01-08
authors: Bobby Hensley
contributors: Guy Litt
Expand All @@ -27,7 +27,7 @@ interpreting quality flags.
After completing this activity, you will be able to:

* Download NEON AIS data using the `neonUtilities` package.
* Understand how data sets and formatted and load them into R for analyses.
* Understand how data sets are formatted and load them into R for analyses.
* Separate data collected at different sensor locations using the HOR variable.
* Understand and filter data using quality flags.

Expand All @@ -37,7 +37,7 @@ preferably, RStudio loaded on your computer.

### Install R Packages

* **neonUtilities**: Basic functions for accessing NEON data
* **neonUtilities**: Basic functions for accessing and working with NEON data
* **ggplot2**: Plotting functions

These packages are on CRAN and can be installed by
Expand All @@ -61,7 +61,7 @@ a workflow you run repeatedly, keep in mind it will re-download the
data every time.

Before we get the NEON data, we need to install (if not already done) and load
the neonUtilities R package, as well as other packages we will use in the
the `neonUtilities` R package, as well as other packages we will use in the
analysis.


Expand Down Expand Up @@ -107,7 +107,8 @@ data and warn you about the size of your download? Defaults to T; if
you are using this function within a script or batch process you
will want to set this to F.
* `token`: this allows you to input your NEON API token to obtain faster
downloads.
downloads.

Learn more about NEON API tokens in the <a href="https//:www.neonscience.org/neon-api-tokens-tutorial" target="_blank">**Using an API Token when Accessing NEON Data with neonUtilities** tutorial</a>.

There are additional inputs you can learn about in the
Expand Down Expand Up @@ -243,7 +244,7 @@ because provisional data is non-static.
unique(waq_instantaneous$release)

## [1] "RELEASE-2023"
Learn more about data versioning and appropriately reuse of NEON data on the <a href="https://www.neonscience.org/data-samples/guidelines-policies" target="_blank">**NEON Data Guidelines and Policy** page</a>.
Learn more about data versioning and appropriately reuse of NEON data on the <a href="https://www.neonscience.org/data-samples/guidelines-policies" target="_blank">**NEON Data Guidelines and Policy**</a> page.

## Data from Different Sensor Locations

Expand Down Expand Up @@ -515,7 +516,7 @@ download.
Note that the automated quality flag algorithms are not perfect, and suspect
data points may occasionally pass the quality tests. Other times potentially
useful data may get quality flagged. Ultimately it is up to the user to decide
which data they are comfortable using, which is why we recomend using the
which data they are comfortable using, which is why we recommend using the
expanded data package to better understand why data are being flagged.

## Replot, with quality flags filtered by color
Expand All @@ -540,7 +541,7 @@ color.

## Apply what we've learned Part 1 - Temperature of Surface Water

Applying what we've leaned, let's look at a different data product,Temperature
Applying what we've learned, let's look at a different data product,Temperature
of Surface Water (DP1.20053.001). Can you download for the same site and month
that we just looked at for water quality?

Expand Down

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