diff --git a/docs/data/transforms.csv b/docs/data/transforms.csv
new file mode 100644
index 0000000..ea9786e
--- /dev/null
+++ b/docs/data/transforms.csv
@@ -0,0 +1,201 @@
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+  <li><a href="#pre-work-and-set-up" id="toc-pre-work-and-set-up" class="nav-link active" data-scroll-target="#pre-work-and-set-up">Pre-work and set-up</a>
+  <ul class="collapse">
+  <li><a href="#hardware-and-software" id="toc-hardware-and-software" class="nav-link" data-scroll-target="#hardware-and-software">Hardware and Software</a></li>
+  <li><a href="#pre-requisites" id="toc-pre-requisites" class="nav-link" data-scroll-target="#pre-requisites">Pre-requisites</a></li>
+  </ul></li>
+  <li><a href="#live-workshop-materials" id="toc-live-workshop-materials" class="nav-link" data-scroll-target="#live-workshop-materials">Live Workshop Materials</a>
+  <ul class="collapse">
+  <li><a href="#introduction-to-the-workshop-and-time-dependent-abundance-data" id="toc-introduction-to-the-workshop-and-time-dependent-abundance-data" class="nav-link" data-scroll-target="#introduction-to-the-workshop-and-time-dependent-abundance-data">Introduction to the Workshop and Time Dependent Abundance Data</a></li>
+  <li><a href="#regression-in-r-refresher-transformations-and-diagnostics" id="toc-regression-in-r-refresher-transformations-and-diagnostics" class="nav-link" data-scroll-target="#regression-in-r-refresher-transformations-and-diagnostics">Regression in R Refresher (Transformations and Diagnostics)</a></li>
+  <li><a href="#time-dependent-regression-analysis" id="toc-time-dependent-regression-analysis" class="nav-link" data-scroll-target="#time-dependent-regression-analysis">Time dependent regression analysis</a></li>
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+  <li><a href="#introduction-to-the-vecdyn-database" id="toc-introduction-to-the-vecdyn-database" class="nav-link" data-scroll-target="#introduction-to-the-vecdyn-database">Introduction to the VecDyn database</a></li>
+  <li><a href="#gaussian-process-models-gps-for-time-dependent-data" id="toc-gaussian-process-models-gps-for-time-dependent-data" class="nav-link" data-scroll-target="#gaussian-process-models-gps-for-time-dependent-data">Gaussian Process models (GPs) for Time Dependent Data</a></li>
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+</header>
+
+
+<section id="pre-work-and-set-up" class="level1">
+<h1>Pre-work and set-up</h1>
+<section id="hardware-and-software" class="level2">
+<h2 class="anchored" data-anchor-id="hardware-and-software">Hardware and Software</h2>
+<p>We will be using <a href="https://cran.r-project.org/"><code>R</code></a> for all data manipulation and analyses/model fitting. Any operating system (Windows, Mac, Linux) will do, as long as you have <code>R</code> (version 3.6 or higher) installed.</p>
+<p>You may use any IDE/ GUI for <code>R</code> (VScode, RStudio, Emacs, etc). For most people, <a href="https://www.rstudio.com/"><code>RStudio</code></a> is a good option. Whichever one you decide to use, please make sure it is installed and test it before the workshop.</p>
+<p>We will also be using Slack for additional support during the training. Please have these installed in advance. We will have a channel on Slack dedicated to software/hardware issues and troubleshooting.</p>
+</section>
+<section id="pre-requisites" class="level2">
+<h2 class="anchored" data-anchor-id="pre-requisites">Pre-requisites</h2>
+<p>We are assuming familiarity with R basics as well as at least introductory statistics, including up through simple linear regression. If you would like materials to review, we recommend that you do the following:</p>
+<p><strong><em>Review of R</em></strong></p>
+<ol type="1">
+<li><p>Go to <a href="https://mhasoba.github.io/TheMulQuaBio/intro.html">The Multilingual Quantitative Biologist</a>, and read+work through the <a href="https://mhasoba.github.io/TheMulQuaBio/notebooks/07-R.html">Biological Computing in R Chapter</a>.</p></li>
+<li><p>In addition / alternatively to pre-work element (1), here are some resources for brushing up on R <a href="https://mhasoba.github.io/TheMulQuaBio/notebooks/07-R.html#readings-and-resources">at the end of the Intro R Chapter you can try</a>. There are many more resources online (e.g., <a href="https://www.codecademy.com/learn/learn-r">this</a> and <a href="https://www.dataquest.io/blog/learn-r-for-data-science/">this</a> ) – pick something that suits your learning style.</p></li>
+</ol>
+<p><strong><em>Review of statistics</em></strong></p>
+<ol type="1">
+<li><p>Review background on <a href="./Stats_review.html">introductory probability and statistics</a> (<a href="./Stats_review_soln.html">solutions to exercises</a>). You can also use the resources on <a href="https://mhasoba.github.io/TheMulQuaBio/Stats-Intro.html">The Multilingual Quantitative Biologist - Basic Data Analyses and Statistics</a> through into linear models.</p></li>
+<li><p>Review the conceptual basics of <a href="./VB_RegRev.html">Simple Linear Regression</a>. We’ll refresh fitting linear models in R as well as transformations and diagnostic plots during the workshop.</p></li>
+</ol>
+<p><br> <br></p>
+</section>
+</section>
+<section id="live-workshop-materials" class="level1">
+<h1>Live Workshop Materials</h1>
+<section id="introduction-to-the-workshop-and-time-dependent-abundance-data" class="level2">
+<h2 class="anchored" data-anchor-id="introduction-to-the-workshop-and-time-dependent-abundance-data">Introduction to the Workshop and Time Dependent Abundance Data</h2>
+<ul>
+<li><a href="">Lecture (coming soon)</a></li>
+</ul>
+<p><br> <br></p>
+</section>
+<section id="regression-in-r-refresher-transformations-and-diagnostics" class="level2">
+<h2 class="anchored" data-anchor-id="regression-in-r-refresher-transformations-and-diagnostics">Regression in R Refresher (Transformations and Diagnostics)</h2>
+<ul>
+<li><a href="./VB_RegDiagTrans.html">Lecture Slides</a></li>
+<li><a href="./VB_RegDiagTrans_practical.html">Practical</a></li>
+<li>Dataset: <a href="./data/transforms.csv">transforms.csv</a></li>
+</ul>
+<p><br> <br></p>
+</section>
+<section id="time-dependent-regression-analysis" class="level2">
+<h2 class="anchored" data-anchor-id="time-dependent-regression-analysis">Time dependent regression analysis</h2>
+<ul>
+<li><a href="./VB_IntroTimeDepData.html">Lecture Slides</a></li>
+<li><a href="./VB_IntroTimeDepData_practical.html">Practical</a></li>
+<li>Dataset: <a href="./data/Culex_erraticus_walton_covariates_aggregated.csv">Walton Co, FL Mosquito data</a></li>
+</ul>
+<p><br> <br></p>
+</section>
+<section id="basics-of-time-series-using-r" class="level2">
+<h2 class="anchored" data-anchor-id="basics-of-time-series-using-r">Basics of Time Series using R</h2>
+<ul>
+<li><a href="">Integrated Lecture and Activities (coming soon)</a></li>
+<li>Dataset: <a href="">coming soon</a></li>
+</ul>
+<p><br> <br></p>
+</section>
+<section id="introduction-to-the-vecdyn-database" class="level2">
+<h2 class="anchored" data-anchor-id="introduction-to-the-vecdyn-database">Introduction to the VecDyn database</h2>
+<ul>
+<li><a href="https://vectorbyte.crc.nd.edu/vecdyn-datasets">The VecDyn website</a>.</li>
+<li><a href="https://www.vectorbyte.org/blog/vecdyn-api">About the VecDyn API</a></li>
+<li>Other Materials Coming Soon.</li>
+</ul>
+<p><br> <br></p>
+</section>
+<section id="gaussian-process-models-gps-for-time-dependent-data" class="level2">
+<h2 class="anchored" data-anchor-id="gaussian-process-models-gps-for-time-dependent-data">Gaussian Process models (GPs) for Time Dependent Data</h2>
+<ul>
+<li><a href="">Lecture Slides (coming soon)</a></li>
+<li><a href="">Lecture Note (coming soon)</a></li>
+<li><a href="">Practical (coming soon)</a></li>
+</ul>
+<p><br> <br></p>
+
+
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+          if (div) {
+            div.remove();
+          }
+        });
+        selectedAnnoteEl = undefined;
+      };
+        // Handle positioning of the toggle
+    window.addEventListener(
+      "resize",
+      throttle(() => {
+        elRect = undefined;
+        if (selectedAnnoteEl) {
+          selectCodeLines(selectedAnnoteEl);
+        }
+      }, 10)
+    );
+    function throttle(fn, ms) {
+    let throttle = false;
+    let timer;
+      return (...args) => {
+        if(!throttle) { // first call gets through
+            fn.apply(this, args);
+            throttle = true;
+        } else { // all the others get throttled
+            if(timer) clearTimeout(timer); // cancel #2
+            timer = setTimeout(() => {
+              fn.apply(this, args);
+              timer = throttle = false;
+            }, ms);
+        }
+      };
+    }
+      // Attach click handler to the DT
+      const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
+      for (const annoteDlNode of annoteDls) {
+        annoteDlNode.addEventListener('click', (event) => {
+          const clickedEl = event.target;
+          if (clickedEl !== selectedAnnoteEl) {
+            unselectCodeLines();
+            const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
+            if (activeEl) {
+              activeEl.classList.remove('code-annotation-active');
+            }
+            selectCodeLines(clickedEl);
+            clickedEl.classList.add('code-annotation-active');
+          } else {
+            // Unselect the line
+            unselectCodeLines();
+            clickedEl.classList.remove('code-annotation-active');
+          }
+        });
+      }
+  const findCites = (el) => {
+    const parentEl = el.parentElement;
+    if (parentEl) {
+      const cites = parentEl.dataset.cites;
+      if (cites) {
+        return {
+          el,
+          cites: cites.split(' ')
+        };
+      } else {
+        return findCites(el.parentElement)
+      }
+    } else {
+      return undefined;
+    }
+  };
+  var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
+  for (var i=0; i<bibliorefs.length; i++) {
+    const ref = bibliorefs[i];
+    const citeInfo = findCites(ref);
+    if (citeInfo) {
+      tippyHover(citeInfo.el, function() {
+        var popup = window.document.createElement('div');
+        citeInfo.cites.forEach(function(cite) {
+          var citeDiv = window.document.createElement('div');
+          citeDiv.classList.add('hanging-indent');
+          citeDiv.classList.add('csl-entry');
+          var biblioDiv = window.document.getElementById('ref-' + cite);
+          if (biblioDiv) {
+            citeDiv.innerHTML = biblioDiv.innerHTML;
+          }
+          popup.appendChild(citeDiv);
+        });
+        return popup.innerHTML;
+      });
+    }
+  }
+});
+</script>
+</div> <!-- /content -->
+
+
+
+
+</body></html>
\ No newline at end of file