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<!DOCTYPE HTML>
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<html>
<head>
<title>Cinema Examples</title>
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<ul>
<li><a href="index.html">Home</a></li>
<li><a href="overview.html">Overview</a></li>
<li><a href="examples.html">Examples</a></li>
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<h2>Cinema Examples</h2>
<center><p>There are three main ways of using Cinema that are supported by the Cinema team and our partners. Here are examples of each.</p></center>
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<div class="container">
<hr/>
<section> <!-- viewer applications -->
<h2>Spreadsheet Examples</h2>
<table>
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<td><img src="images/spreadsheet_thumbnail.png" width=200 /></td>
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<p>
Scientists often compile data about experiments in a table that maps
parameters to results. These can easily be converted into a Cinema
database.
</p>
<p>
You can view examples <a href="https://cinemascience.org/cinema_examples/online-examples/tutorial.html">online,</a> download/view <a href="https://github.com/cinemascience/cinema_examples/blob/master/spreadsheet/cinema_example_spreadsheet/instructions.pdf">instructions</a>, or download examples of spreadsheet-based databases from our <a href="https://cinemascience.org/cinema_examples/cinema-spreadsheet-tutorial.zip">Cinema examples</a>.
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<h2>Application Export Examples</h2>
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<td><img src="images/application_export_thumbnail.png" width=200 /></td>
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<p>
Common analysis and visualization applications can output Cinema databases of whatever is being visualized. This results in a Cinema database that is ready to view.
</p>
<p>
You can view examples <a href="https://cinemascience.org/cinema_examples/online-nyx-examples/cinema_view.html">online,</a> download/view <a href="https://github.com/cinemascience/cinema_examples/blob/master/applications/paraview/5.8/instructions.pdf">instructions</a>, or download examples of application export databases from our <a href="https://cinemascience.org/cinema_examples/cinema-nyx-tutorial.zip">Cinema examples</a>.
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<h2>In-situ Export Example</h2>
<table>
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<td><img src="images/pantheon_thumbnail.png" width=200 /></td>
<td style="vertical-align:top">
<p>
For in-situ analysis workflows, capabilites can be integrated into science codes so that Cinema databases can be directly output from the simulation during execution. One supported way of doing this is through <a href="https://github.com/Alpine-DAV/ascent">ASCENT</a>. These in-situ workflows can be complex, so we support a repository of reproducible workflows through the <a href="https://github.com/pantheonscience">Pantheon project</a>.
</p>
<p>
Download examples of end-to-end workflows at the <a href="https://github.com/pantheonscience">Pantheon project page</a>.
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<h3>Useful Links</h3>
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<li><a href="http://dsscale.org/">Data Science at Scale</a></li>
<li><a href="http://www.lanl.gov/">Los Alamos National Laboratory</a></li>
<li><a href="https://www.exascaleproject.org/">Exascale Computing Project</a></li>
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<h3>Our Partners and Sponsors</h3>
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<li><a href="https://www.paraview.org/">ParaView</a></li>
<li><a href="https://visit.llnl.gov/">VisIt</a></li>
<li><a href="https://science.energy.gov/">Dept. of Energy Office of Science</a></li>
<li><a href="https://nnsa.energy.gov/">National Nuclear Security Administration</a></li>
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<h2>Cinema Science </h2>
<p>Cinema is developed by the Data Science at Scale team at Los Alamos National Laboratory. We welcome contributions from users in the Cinema community, just head over to the <a href="https://github.com/CinemaScience">Cinema Science Github. </a> </p>
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<li><a href="https://github.com/CinemaScience">Cinema Science Github </a></li>
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