X-Git-Url: https://adrianiainlam.tk/git/?a=blobdiff_plain;f=docs%2Fusers.html;h=0f362c5a4c07210dfeaa0f2dd3b5877db0b900dd;hb=ac928d203b05de4a8d43ad89667347865e98bb7c;hp=6e7557f4a07338dbb84497dfa162691f5cb98032;hpb=1d2e25b62c4c291c46ed65dcd5b296ba9dae0089;p=dygraphs.git

diff --git a/docs/users.html b/docs/users.html
index 6e7557f..0f362c5 100644
--- a/docs/users.html
+++ b/docs/users.html
@@ -80,8 +80,16 @@
   (<a href="http://cavorite.com/labs/js/dygraphs-export/">[1]</a>, <a href="https://github.com/cavorite/dygraphs">[2]</a>).
   </span></li>
 
-  <li><a href="http://www.glerl.noaa.gov/data/now/wlevels/dbd/altSite.html">NOAA Great Lakes Water Level Dashboard</a><br/>
-  <span class="desc">The Great Lakes Water Level dashboard was designed to help users view, understand, and compare Great Lakes surface water elevation data and forecasts from a variety of different sources, and across a variety of time scales ranging from monthly average values, to annual and multi-decadal values. First developed in Adobe Flash, a HTML 5 compatible version has been in the works and a functional draft is available here.</span></li>
+  <li>
+    <a href="http://www.glerl.noaa.gov/data/dashboard/GLD_HTML5.html">NOAA Great Lakes Dashboard</a><br/>
+    <span class="desc">
+      The Great Lakes Dashboard provides user-friendly 
+      access to aggregated time series data, model output, and forecasts for 
+      multiple variables describing the Great Lakes along with background 
+      information. First developed in Adobe Flash, a HTML 5 compatible version 
+      has been in the works and a functional draft is available here.
+    </span>
+  </li>
   
   <li>
     <a href="http://howmanydiapers.com">HowManyDiapers.com</a><br />
@@ -92,6 +100,16 @@
       Dygraphs are used in the results page, to display the growth curve and sizing changes (using annotations).
     </span>
   </li>
+
+  <li>
+    <a href="http://cida.usgs.gov/gcmrc/discharge_qw_sediment/">USGS CIDA/GCMRC River Sediment and Discharge</a><br />
+    <span class="desc">
+      The Center for Integrated Data Analytics (CIDA) is using Dygraphs to display timeseries data 
+      collected at USGS gage stations, most prominently on the Colorado River through the Grand 
+      Canyon.  Dygraphs performance was essential for interacting with years of dense timeseries 
+      data in the browser. (<a href="https://github.com/USGS-CIDA/gcmrc-ui-parent">View the code</a>!)
+    </span>
+  </li>
   
   </ul>