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diff --git a/API_Example.html b/API_Example.html
@@ -360,6 +360,7 @@ <h2> Contents </h2>
             </div>
             <nav aria-label="Page">
                 <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#jupyter-notebooks">Jupyter Notebooks</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#real-time-traffic-data">Real-time traffic data</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-outcomes">Learning outcomes</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-outcome-1">Learning Outcome 1</a></li>
@@ -381,6 +382,13 @@ <h2> Contents </h2>
 <h1>Application Programming Interfaces<a class="headerlink" href="#application-programming-interfaces" title="Permalink to this heading">#</a></h1>
 <p>2024 NHERI Computational Academy<br />
 Scott J. Brandenberg</p>
+<section id="jupyter-notebooks">
+<h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Permalink to this heading">#</a></h2>
+<p>Complete Notebook<br />
+<a class="reference external" href="https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/API_Example.ipynb.ipynb"><img alt="Try on DesignSafe" src="https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg" /></a><br />
+Template<br />
+<a class="reference external" href="https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/API_Example_Template.ipynb.ipynb"><img alt="Try on DesignSafe" src="https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg" /></a></p>
+</section>
 <section id="real-time-traffic-data">
 <h2>Real-time traffic data<a class="headerlink" href="#real-time-traffic-data" title="Permalink to this heading">#</a></h2>
 <p>On Day 1, Charlie Dey presented a nice example using Pandas and Matplotlib to visualize real-time traffic data in Austin, TX from <a class="reference external" href="https://data.austintexas.gov/Transportation-and-Mobility/Real-Time-Traffic-Incident-Reports/dx9v-zd7x/about_data">this link</a>. He first downloaded a CSV file from the website, then loaded that CSV file into a Pandas dataframe.</p>
@@ -1018,6 +1026,7 @@ <h2>Learning Outcome 4<a class="headerlink" href="#learning-outcome-4" title="Pe
   </div>
   <nav class="bd-toc-nav page-toc">
     <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#jupyter-notebooks">Jupyter Notebooks</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#real-time-traffic-data">Real-time traffic data</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-outcomes">Learning outcomes</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#learning-outcome-1">Learning Outcome 1</a></li>

diff --git a/SQLite_Example.html b/SQLite_Example.html
@@ -387,9 +387,9 @@ <h1>Creating a SQLite database<a class="headerlink" href="#creating-a-sqlite-dat
 Scott J. Brandenberg <a class="reference external" href="mailto:sjbrandenberg&#37;&#52;&#48;g&#46;ucla&#46;edu">sjbrandenberg<span>&#64;</span>g<span>&#46;</span>ucla<span>&#46;</span>edu</a></p>
 <section id="jupyter-notebooks">
 <h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Permalink to this heading">#</a></h2>
-<p>Complete Notebook
-<a class="reference external" href="https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example.ipynb.ipynb"><img alt="Try on DesignSafe" src="https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg" /></a>
-Template
+<p>Complete Notebook<br />
+<a class="reference external" href="https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example.ipynb.ipynb"><img alt="Try on DesignSafe" src="https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg" /></a><br />
+Template<br />
 <a class="reference external" href="https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example_Template.ipynb.ipynb"><img alt="Try on DesignSafe" src="https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg" /></a></p>
 </section>
 <section id="about-sqlite">

diff --git a/_sources/API_Example.ipynb b/_sources/API_Example.ipynb
@@ -10,6 +10,12 @@
     "2024 NHERI Computational Academy  \n",
     "Scott J. Brandenberg\n",
     "\n",
+    "## Jupyter Notebooks  \n",
+    "Complete Notebook  \n",
+    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/API_Example.ipynb.ipynb)  \n",
+    "Template  \n",
+    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/API_Example_Template.ipynb.ipynb)  \n",
+
     "## Real-time traffic data\n",
     "\n",
     "On Day 1, Charlie Dey presented a nice example using Pandas and Matplotlib to visualize real-time traffic data in Austin, TX from [this link](https://data.austintexas.gov/Transportation-and-Mobility/Real-Time-Traffic-Incident-Reports/dx9v-zd7x/about_data). He first downloaded a CSV file from the website, then loaded that CSV file into a Pandas dataframe.  \n",

diff --git a/_sources/SQLite_Example.ipynb b/_sources/SQLite_Example.ipynb
@@ -11,10 +11,10 @@
     "Scott J. Brandenberg <[email protected]>  \n",
     "\n",
     "## Jupyter Notebooks  \n",
-    "Complete Notebook \n",
-    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example.ipynb.ipynb)\n",
-    "Template \n",
-    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example_Template.ipynb.ipynb)\n",
+    "Complete Notebook  \n",
+    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example.ipynb.ipynb)  \n",
+    "Template  \n",
+    "[![Try on DesignSafe](https://raw.githubusercontent.com/geoelements/LearnMPM/main/DesignSafe-Badge.svg)](https://jupyter.designsafe-ci.org/user/name/notebooks/CommunityData/Training/2024-NHERI-AI-Academy/Day2/SQLite_Example_Template.ipynb.ipynb)  \n",
     "## About SQLite\n",
     "\n",
     "This script will create a SQLite database, which is a lightweight file-based SQL database engine. It comes installed with Python, so you don't need to install any special packages or set up a SQL server on your computer to use it. Details can be found here: https://www.sqlite.org/. There are, of course, other relational database management systems, like MySQL, Postgres, etc. However, to use these database engines, you either need to set up those databases on a server, or use software to make your computer simulate a server (e.g., XAMPP). So we'll use SQLite here.\n",