edu.ucar.opensky::articles:42310 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:57:26.532220 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7dv1q67 https://doi.org/10.6084/m9.figshare.24263068.v1 https Related Other #1 COS 208-5 - The Environmental Data Science Innovation &amp; Inclusion Lab (ESIIL): a next-generation NSF data synthesis center https://doi.org/10.5281/zenodo.10092423 https Related Software #1 earthlab/2022-edsc-manuscript: EDSC Manuscript Data https://doi.org/10.5281/zenodo.4570457 https Related Software #2 corteva/rioxarray: 0.3.1 Release https://doi.org/10.5281/zenodo.7018966 https Related Software #3 pandas-dev/pandas: Pandas https://doi.org/10.5281/zenodo.7032953 https Related Software #4 matplotlib/matplotlib: REL: v3.6.0rc2 https://doi.org/10.5281/zenodo.8009629 https Related Software #5 geopandas/geopandas: v0.13.2 https://doi.org/10.5281/zenodo.8247542 https Related Software #6 corteva/rioxarray: 0.15.0 Release Fostering the development of Earth data science skills in a diverse community of online learners: A case study of the Earth Data Science Corps 2025-01-01T00:00:00Z publication https://n2t.net/ark:/85065/d7dv1q67 https://doi.org/10.1080/26939169.2024.2362886 Quarderer, N. A. author Wasser, L. author Gold, A. U. author Montaño, Patricia A. author Herwehe, L. author Halama, K. author Biggane, E. author Logan, J. author Parr, D. author Brady, S. author Sanovia, J. author Tinant, C. J. author Yellow Thunder, E. author White Eyes, J. author Poor Bear/Bagola, L. author Phelps, M. author Phelps, T. O. author Alberts, B. author Johnson, M. author Korinek, N. author Travis, W. author Jacquez, N. author Rohlehr, K. author Ward, E. author Culler, E. author Nagy, R. C. author Balch, J. author UCAR/NCAR - Library publisher <p><span style="-webkit-text-stroke-width:0px;color:rgb(51, 51, 51);display:inline !important;float:none;font-family:&quot;Open Sans&quot;, sans-serif;font-size:17.6px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:left;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Today’s data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world’s most pressing environmental challenges. Despite the importance of these skills, Earth and Environmental Data Science (EDS) training is not equally accessible, contributing to a lack of diversity in the field. This creates a critical need for EDS training opportunities designed specifically for underrepresented groups. In response, we developed the Earth Data Science Corps (EDSC) which couples a paid internship for undergraduate students with faculty training to build capacity to teach and learn EDS using Python at smaller Minority Serving Institutions. EDSC faculty participants are further empowered to teach these skills at their home institutions which scales the program beyond the training lead by our team. Using a Rasch modeling approach, we found that participating in the EDSC program had a significant impact on undergraduate learners’ comfort and confidence with technical and nontechnical data science skills, as well as their science identity and sense of belonging in science, two critical aspects of recruiting and retaining members of underrepresented groups in STEM. Supplementary materials for this article are available online.</span></p> UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <style type="text/css"></style><span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation