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    <p>Dear Colleagues,</p>
    <p>The Resen platform developed under NSF-supported <a
href="https://urldefense.com/v3/__https:/ingeo.datatransport.org/__;!!Nv3xtKNH_4uope0!0ma5Aes-ogwJpQ0NAH90i0lr53nPPRErzCEY0BdpTY_Wj8VpzFf7MOI5Q9Kw3no$">
        Integrated Geoscience Observatory (InGeO)</a> project integrates
      several <a
href="https://urldefense.com/v3/__https:/ingeo.datatransport.org/home/resen/packages__;!!Nv3xtKNH_4uope0!0ma5Aes-ogwJpQ0NAH90i0lr53nPPRErzCEY0BdpTY_Wj8VpzFf7MOI5wcZyrPg$">community-developed
        Python libraries</a> that geospace scientists use to carry out
      their research, and provides a way to create computationally
      reproducible results. Resen makes it easier for students and other
      researchers to access these community tools by making them
      available in containerized environments. </p>
    <p>Resen is available through an <a
href="https://urldefense.com/v3/__https:/ingeo.datatransport.org/home/resen/resen-online__;!!Nv3xtKNH_4uope0!1EAXh4JMyWLwboeU86MPjCa-6tROWa0-PcjHaVRuRqs4v2taOFj32dHHdRJax9Q$">online
        interface</a> that gives ready access to these libraries via a
      cloud service, and as a
      <a
href="https://urldefense.com/v3/__https:/github.com/EarthCubeInGeo/resen__;!!Nv3xtKNH_4uope0!1EAXh4JMyWLwboeU86MPjCa-6tROWa0-PcjHaVRuRqs4v2taOFj32dHHcSnR3o4$">downloadable
        software</a> that one can use to create containerized,
      reproducible results. Resen provides <a moz-do-not-send="true"
        href="https://jupyter.org/">Jupyter</a> notebooks as an
      interactive platform and includes several introductory tutorials
      for those who are new to Python, or these libraries. It provides a
      smooth way for researchers to quickly start analyzing data and
      reproduce the work of others without having to configure their
      local computational environment correctly.</p>
    <p>We have planned a series of 3 webinars covering Resen online,
      reproducibility in geospace sciences, and using Resen locally to
      create computationally reproducible results. The dates, times and
      a brief description of the webinars are given below.  <br>
    </p>
    <p><b><a
href="https://urldefense.com/v3/__https:/docs.google.com/forms/d/e/1FAIpQLSd8CmdWPzKCzO6vi3H6mpuyrj38PK67oKnOUUauSqJT9MYNoQ/viewform__;!!Nv3xtKNH_4uope0!1EAXh4JMyWLwboeU86MPjCa-6tROWa0-PcjHaVRuRqs4v2taOFj32dHHwtYMGjc$">Register
          for one or more webinars here</a><br>
      </b></p>
    <p><b>--------------------------------</b><br>
      <b></b></p>
    <p><b>Introduction to Resen Online: Thursday, April 2, 10 AM PT/1 PM
        ET/5 PM UTC.
      </b></p>
    <p>Sign-up for an online account, get familiarized with computing
      environment and go through a tutorial to learn how to use it. 
      <b><br>
      </b></p>
    <p><b>Reproducibility of research results: Thursday, April 16,</b>
      <b>10 AM PT/1 PM ET/5 PM UTC</b><br>
    </p>
    <p>A webinar on what is involved in research reproducibility, and
      why it is important. What can we do in the digital age to ensure
      research reproducibility?</p>
    <p><b>Using Resen to create computationally reproducible results:
        Thursday, April 30,</b>
      <b>10 AM PT/1 PM ET/5 PM UTC</b></p>
    <p>In this webinar, we will go through using downloadable Resen
      platform to create containerized results, and how to share and
      reuse them.</p>
    <p><b>------------------------------------</b><br>
    </p>
    <p>These webinars will be especially useful for students who are
      beginning in the field and experienced scientists looking to get
      better introduced to switching to open-source methods, and
      interested in reproducibility.</p>
    <b><a
href="https://urldefense.com/v3/__https:/docs.google.com/forms/d/e/1FAIpQLSd8CmdWPzKCzO6vi3H6mpuyrj38PK67oKnOUUauSqJT9MYNoQ/viewform__;!!Nv3xtKNH_4uope0!1EAXh4JMyWLwboeU86MPjCa-6tROWa0-PcjHaVRuRqs4v2taOFj32dHHwtYMGjc$">Register
        for one or more webinars here</a></b> <br>
    <br>
    <p>Thank you,</p>
    The InGeO team
    <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
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