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<p class="MsoNormal" style="caret-color: rgb(0, 0,
0);font-variant-caps: normal;orphans:
auto;text-align:start;widows: auto;-webkit-text-size-adjust:
auto;-webkit-text-stroke-width: 0px;word-spacing:0px"> <span style="color:black">Dear Colleagues,</span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0,
0);font-variant-caps: normal;orphans:
auto;text-align:start;widows: auto;-webkit-text-size-adjust:
auto;-webkit-text-stroke-width: 0px;word-spacing:0px"><span style="color:black">The Integrated Geoscience Observatory
(InGeO) team has begun planning for the 2021 releases of Resen,
our Reproducible Software Environment platform, and we would
like to hear your input on new Python packages and toolkits that
would be useful in your research! Resen uses containerization
technology to create self-contained computational environments
where users can easily perform scientific analyses and then
package and share code and results in a system agnostic manner,
creating computationally reproducible results. This makes it
easy to bundle code and data together and obtain a doi to cite
in a journal article. <br>
</span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0,
0);font-variant-caps: normal;orphans:
auto;text-align:start;widows: auto;-webkit-text-size-adjust:
auto;-webkit-text-stroke-width: 0px;word-spacing:0px"><span style="color:black">Resen was originally released at CEDAR in
2019, and since then the team has been releasing regular updates
biannually. For more information on the InGeO project and
Resen, please see the InGeO website (<a href="https://ingeo.datatransport.org/home/"><span style="color:#044A91">https://ingeo.datatransport.org</span></a>)
or the Resen documentation (<a href="https://resen.readthedocs.io/en/v2020.2.1/"><span style="color:#044A91">https://resen.readthedocs.io/en/v2020.2.1/</span></a>).</span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0,
0);font-variant-caps: normal;orphans:
auto;text-align:start;widows: auto;-webkit-text-size-adjust:
auto;-webkit-text-stroke-width: 0px;word-spacing:0px"><span style="color:black">One of the main advantages of Resen is that
our computation environments (called “buckets”) come
pre-installed with a variety of community developed Python
packages, which makes it much easier for researchers to start
producing results immediately. Resen currently has a fairly
wide range of packages available (<a href="https://ingeo.datatransport.org/home/resen/packages"><span style="color:#044A91">https://ingeo.datatransport.org/home/resen/packages</span></a>),
but we are looking for community feedback as to new packages
that are useful for the geospace researchers. If you have
developed a toolkit that may be useful to the broader CEDAR
community, or just have packages you frequently use in your
work, please let us know so we can consider adding them! Feel
free to reach out to us either through the InGeO team email
address (<a href="mailto:ingeo-team@ingeo.datatransport.org"><span style="color:#044A91">ingeo-team@ingeo.datatransport.org</span></a>)
or by submitting a GitHub issue (<a href="https://github.com/EarthCubeInGeo/resen-core/issues"><span style="color:#044A91">https://github.com/EarthCubeInGeo/resen-core/issues</span></a>).</span></p>
<p class="MsoNormal" style="caret-color: rgb(0, 0,
0);font-variant-caps: normal;orphans:
auto;text-align:start;widows: auto;-webkit-text-size-adjust:
auto;-webkit-text-stroke-width: 0px;word-spacing:0px"> <span style="color:black">Thank you,</span></p>
The InGeO team <br>
<p> (Asti Bhatt, Ashton Reimer, Leslie Lamarche, Todd Valentic,
Pablo Reyes) <br>
</p>
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