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diff --git a/.nojekyll b/.nojekyll
@@ -1 +1 @@
-f374176d
+861e1248
diff --git a/contributing/setup.html b/contributing/setup.html
@@ -614,8 +614,9 @@ <h2 class="anchored" data-anchor-id="github-clinic">GitHub Clinic</h2>
 </section>
 <section id="access-jupyterhub" class="level2">
 <h2 class="anchored" data-anchor-id="access-jupyterhub">Access JupyterHub</h2>
-<p>Our <a href="https://openscapes.2i2c.cloud/hub/"><strong>Openscapes 2i2c JupyterHub</strong></a> is available for Mentors and their colleagues to develop, test, and teach. Screenshots of logging in and starting a session are in <a href="../workshops/setup.html">Workshop Setup</a>. Using the JupyterHub is described in <a href="https://nasa-openscapes.github.io/2021-Cloud-Hackathon/tutorials/00_Setup.html#jupyter-notebooks">2021 Cloud Hackathon instructions: Jupyter notebooks</a>.</p>
-<p>To request access, fill out this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdcKar-yNnofiAVKlks79AgmQeM1beLCQM5TW_0__x_JU4B3g/viewform?usp=sf_link"><strong>JupyterHub request form</strong></a>. You’ll need a GitHub username (<a href="https://docs.google.com/spreadsheets/d/10Qg8YtUegXs9bepJzvK4UN54bX8BLXTrhxsjb2uV_6k/edit#gid=1824163684">internal</a>).</p>
+<p>Our <a href="https://openscapes.2i2c.cloud/hub/"><strong>2i2c JupyterHub</strong></a> is available for Mentors and their colleagues to develop, test, and teach. Please review our <a href="https://github.com/NASA-Openscapes/2i2cAccessPolicies"><strong>2i2c Access Policies</strong></a>.</p>
+<p><strong>To request access, fill out this</strong> <a href="https://docs.google.com/forms/d/e/1FAIpQLSdcKar-yNnofiAVKlks79AgmQeM1beLCQM5TW_0__x_JU4B3g/viewform?usp=sf_link"><strong>JupyterHub request form</strong></a>. You’ll need a GitHub username and will need to accept a GitHub Teams request to confirm access (<a href="https://docs.google.com/spreadsheets/d/10Qg8YtUegXs9bepJzvK4UN54bX8BLXTrhxsjb2uV_6k/edit#gid=1824163684">internal</a>).</p>
+<p>Screenshots of logging in and starting a session are in <a href="../workshops/setup.html">Workshop Setup</a>. Using the JupyterHub is described in <a href="https://nasa-openscapes.github.io/2021-Cloud-Hackathon/tutorials/00_Setup.html#jupyter-notebooks">2021 Cloud Hackathon instructions: Jupyter notebooks</a>.</p>
 </section>
 <section id="clone-cookbook-from-github" class="level2">
 <h2 class="anchored" data-anchor-id="clone-cookbook-from-github">Clone Cookbook from GitHub</h2>

diff --git a/external/IS2_cloud_Landsat_integration.html b/external/IS2_cloud_Landsat_integration.html
@@ -607,8 +607,8 @@ <h1 class="title">ICESat-2 and Landsat cloud access and data integration</h1>
 </header>
 
 <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>xrfsyrksgjod 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>xrfsyrksgjod 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>bmnsbqedybem 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>bmnsbqedybem 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/search.json b/search.json
@@ -781,7 +781,7 @@
     "href": "contributing/setup.html#access-jupyterhub",
     "title": "Setup",
     "section": "Access JupyterHub",
-    "text": "Access JupyterHub\nOur Openscapes 2i2c JupyterHub is available for Mentors and their colleagues to develop, test, and teach. Screenshots of logging in and starting a session are in Workshop Setup. Using the JupyterHub is described in 2021 Cloud Hackathon instructions: Jupyter notebooks.\nTo request access, fill out this JupyterHub request form. You’ll need a GitHub username (internal)."
+    "text": "Access JupyterHub\nOur 2i2c JupyterHub is available for Mentors and their colleagues to develop, test, and teach. Please review our 2i2c Access Policies.\nTo request access, fill out this JupyterHub request form. You’ll need a GitHub username and will need to accept a GitHub Teams request to confirm access (internal).\nScreenshots of logging in and starting a session are in Workshop Setup. Using the JupyterHub is described in 2021 Cloud Hackathon instructions: Jupyter notebooks."
   },
   {
     "objectID": "contributing/setup.html#clone-cookbook-from-github",
@@ -2818,7 +2818,7 @@
     "href": "external/IS2_cloud_Landsat_integration.html",
     "title": "ICESat-2 and Landsat cloud access and data integration",
     "section": "",
-    "text": "This notebook ({nb-download}download &lt;IS2_cloud_data_integration.ipynb&gt;) builds off of the icepyx IS2_cloud_data_access.ipynb and ICESat-2 Hackweek Data Integration 1 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.\nxrfsyrksgjod 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\nxrfsyrksgjod Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data."
+    "text": "This notebook ({nb-download}download &lt;IS2_cloud_data_integration.ipynb&gt;) builds off of the icepyx IS2_cloud_data_access.ipynb and ICESat-2 Hackweek Data Integration 1 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.\nbmnsbqedybem 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\nbmnsbqedybem Key Takeaway By the end of this tutorial, you will be able to visualize Landsat Cloud Optimized Geotiffs with ICESat-2 and ATM data."
   },
   {
     "objectID": "external/IS2_cloud_Landsat_integration.html#notes",