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<p>Dear colleagues,</p>
<p>A new version of the Reproducible Software Environment (Resen)
was released just before CEDAR with several updates and new
libraries. The full list of added software and functionality are
available <a
href="https://resen-core.readthedocs.io/en/v2020.2.0/#changelog">here.</a></p>
<p><b>Some highlights:</b></p>
<p>1. <b>ESA Swarm data analysis suite</b>: The open-source <a
href="https://github.com/ESA-VirES/VirES-Python-Client"><i>viresclient</i></a>
that gives the users access to ESA's Swarm satellite data and
analysis toolkit can be now accessed through Resen. <br>
</p>
<p>2. <b>SuperDARN data analysis and visualization</b>: <a
href="https://urldefense.com/v3/__https://github.com/SuperDARN/pydarn__;!!Nv3xtKNH_4uope0!2FP0tEFrI5ZM0EaisPzYjlUIMcXPm6OljRk_qrquX9-0B_lFRergCtaCyHnPYA$"><i>pydarn</i></a>
has replaced now deprecated <i>DaViTpy</i> as the primary
community package for analyzing SuperDARN data. This version of
Resen replaces <i>DaViTpy</i> with <i>pydarn</i>. </p>
<p>3. <b>Plasma physics software</b>: <a
href="https://docs.plasmapy.org/en/stable/index.html"><i>plasmapy</i></a>
is a community-developed and a community-driven open source
software toolset for educational and research needs in plasma
physics. <br>
</p>
<p>4. <b>ICON data tutorial</b>: As the data from the ICON
satellite start to become available, the ICON team has developed a
<a href="https://github.com/YJWu-SSL/ICON_Data_Demo">data tutoria</a>l
for how to access and analyze the data, which Resen users can
access from the Tutorials directory. <br>
</p>
<p>5. <b>Software citation generator</b>: <a
moz-do-not-send="true"
href="https://github.com/EarthCubeInGeo/citationhelper"><i>citationhelper</i></a>,
an easy to use utility that allows the users to generate citations
for the software used to produce a specific result, developed by
the InGeO team. <br>
</p>
<p>6. <b>Interactive pylab widget:</b> For data visualization, this
<a href="https://github.com/matplotlib/ipympl">widget</a> in the
JupyterLab interface gives user a way to use full functionality of
matplotlib, including zooming in the plots within the notebooks. <br>
</p>
<p>These updates are available both for online Resen (use it by
signing up <a href="https://ingeo.datatransport.org/v3/login">here</a>)
and downloadable resen (available <a
href="https://github.com/EarthCubeInGeo/resen/tree/v2020.1.0">here</a>).
If you're not familiar with geospace Python software, or Python,
tutorials are available in both versions of Resen to get your
started. <br>
</p>
<p>Please reach out to the InGeO team at <a
class="moz-txt-link-abbreviated"
href="mailto:ingeo-team@ingeo.datatransport.org">ingeo-team@ingeo.datatransport.org</a>
with any questions or feel free to report an issue on the <a
href="https://github.com/EarthCubeInGeo/resen/tree/v2020.1.0">Resen
GitHub page</a>. Please also send us suggestions for community
software and functionality you would like to see in future Resen
versions. <br>
</p>
<p>Thank you,</p>
<p>The InGeO team</p>
Ashton Reimer, Leslie Lamarche, Pablo Reyes, Todd Valentic, and Asti
Bhatt
<pre class="moz-signature" cols="72">--
Asti Bhatt
Center for Geospace Studies
SRI International
333 Ravenswood Ave
Menlo Park, CA 94025
Phone # +1-650-859-3424
</pre>
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