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NASA-Openscapes · Feb 8, 2024 · 90f3905 · 90f3905
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diff --git a/.nojekyll b/.nojekyll
@@ -1 +1 @@
-937dd58b
+26b9505a
diff --git a/external/IS2_cloud_Landsat_integration.html b/external/IS2_cloud_Landsat_integration.html
@@ -632,7 +632,7 @@ <h1 class="title">ICESat-2 and Landsat in the cloud</h1>
 
 <section id="icesat-2-and-landsat-in-the-cloud" class="level1">
 <h1>ICESat-2 and Landsat in the cloud</h1>
-<p>imported on: <strong>2024-02-05</strong></p>
+<p>imported on: <strong>2024-02-08</strong></p>
 <p>
 This notebook was originally developed by CryoCloud and NSIDC.
 </p>
@@ -643,8 +643,8 @@ <h1>ICESat-2 and Landsat in the cloud</h1>
 <section id="icesat-2-and-landsat-cloud-access-and-data-integration" class="level1">
 <h1>ICESat-2 and Landsat cloud access and data integration</h1>
 <p>This notebook ({nb-download}<code>download &lt;IS2_cloud_data_integration.ipynb&gt;</code>) builds off of the icepyx <a href="https://icepyx.readthedocs.io/en/latest/example_notebooks/IS2_cloud_data_access.html">IS2_cloud_data_access.ipynb</a> and <a href="https://icesat-2.hackweek.io/tutorials/DataIntegration/dataintegration-1.html">ICESat-2 Hackweek Data Integration 1</a> tutorials. It illustrates the use of icepyx for accessing ICESat-2 data currently available through the AWS (Amazon Web Services) us-west2 hub s3 data bucket as well as data integration with Landsat (cloud-optimized geotiff) and ATM (downloaded csv) datasets.</p>
-<p><code>mkuslykgowmz Learning Objectives **Goals** - Identify and locate ICESat-2 and Landsat data - Acquire data from the cloud - Open data in `pandas` and `xarray` and basic functioning of DataFrames</code></p>
-<p><code>mkuslykgowmz Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data.</code></p>
+<p><code>ldhgronstymj Learning Objectives **Goals** - Identify and locate ICESat-2 and Landsat data - Acquire data from the cloud - Open data in `pandas` and `xarray` and basic functioning of DataFrames</code></p>
+<p><code>ldhgronstymj Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data.</code></p>
 <section id="notes" class="level2">
 <h2 class="anchored" data-anchor-id="notes">Notes</h2>
 <ol type="1">

diff --git a/external/appeears_csv_cloud_access.html b/external/appeears_csv_cloud_access.html
@@ -616,7 +616,7 @@ <h1 class="title">How to work with AppEEARS CSV outputs in the cloud.</h1>
 
 <section id="how-to-work-with-appeears-csv-outputs-in-the-cloud." class="level1">
 <h1>How to work with AppEEARS CSV outputs in the cloud.</h1>
-<p>imported on: <strong>2024-02-05</strong></p>
+<p>imported on: <strong>2024-02-08</strong></p>
 <p>
 This notebook was originally developed by LP DAAC to show how to work with AppEEARS CSV outputs directly in the cloud.
 </p>

diff --git a/index.html b/index.html
@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="NASA Openscapes Team">
-<meta name="dcterms.date" content="2024-02-05">
+<meta name="dcterms.date" content="2024-02-08">
 
 <title>EarthData Cloud Cookbook - NASA Earthdata Cloud Cookbook</title>
 <style>
@@ -572,7 +572,7 @@ <h1 class="title">NASA Earthdata Cloud Cookbook</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">February 5, 2024</p>
+      <p class="date">February 8, 2024</p>
     </div>
   </div>
 

diff --git a/search.json b/search.json
diff --git a/site_libs/bootstrap/bootstrap-dark.min.css b/site_libs/bootstrap/bootstrap-dark.min.css
diff --git a/site_libs/bootstrap/bootstrap.min.css b/site_libs/bootstrap/bootstrap.min.css
diff --git a/sitemap.xml b/sitemap.xml
diff --git a/tutorials/matlab.html b/tutorials/matlab.html
@@ -617,7 +617,7 @@ <h1 class="title">MATLAB Access Single NASA EarthData L2 NetCDF</h1>
 </header>
 
 
-<p>This tutorial was written by Erin Robinson, Luis Lopez (NASA Openscapes) and Cedric Wannaz, Lisa Kempler (Mathworks).</p>
+<p>This tutorial was written by Erin Robinson, Luis Lopez (NASA Openscapes) and Cedric Wannaz, Lisa Kempler (Mathworks). Also available as a 9-minute <a href="https://youtu.be/MpGkL_pvTh8">Video</a> walk-through.</p>
 <section id="launch-matlab-in-2i2c-jupyterhub" class="level2">
 <h2 class="anchored" data-anchor-id="launch-matlab-in-2i2c-jupyterhub">Launch MATLAB in 2i2c JupyterHub</h2>
 <p>You’re able to use MATLAB in the 2i2c JupyterHub; you are able to bring your own license. If you’d like to access MATLAB from the Amazon Web Services Console, see details at the bottom of this page.</p>

diff --git a/when-to-cloud.html b/when-to-cloud.html
@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="NASA Openscapes Team">
-<meta name="dcterms.date" content="2024-02-05">
+<meta name="dcterms.date" content="2024-02-08">
 
 <title>EarthData Cloud Cookbook - When To Cloud</title>
 <style>
@@ -571,7 +571,7 @@ <h1 class="title">When To Cloud</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">February 5, 2024</p>
+      <p class="date">February 8, 2024</p>
     </div>
   </div>