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.zenodo.json
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.zenodo.json
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{
"title":"AVNI Course: Fundamentals of Solid Earth Science",
"access_right":"open",
"communities":[
{
"identifier":"geodynamics"
},
{
"identifier":"globalseismology"
}
],
"creators":[
{
"affiliation":"Department of Geosciences, Princeton University",
"name":"Pritwiraj Moulik",
"orcid":"0000-0002-9976-8938"
}
],
"description":"<p><strong>Introduction to a smorgasbord of topics in the geosciences using the Python programming language. </strong></p>\n\n<p>This website hosts the interactive book, <em>Fundamentals of Solid Earth Science</em>, which offers an introduction to a smorgasbord of introductory topics using the Python programming language. The content is specifically designed for people interested in geoscience education using some of the latest computational tools. This website is part of the software ecosystem called <strong>A</strong>nalysis and <strong>V</strong>isualization toolkit for pla<strong>N</strong>etary <strong>I</strong>nferences (or <strong>AVNI</strong>), which provides free web-based and backend code access to tools, techniques, models and data related to global solid Earth geosciences.</p>\n\n<p><strong>Course Resources: </strong><a href=\"https://portal.globalseismology.org/courses/solid-earth-fundamentals\">https://portal.globalseismology.org/courses/solid-earth-fundamentals</a></p>\n\n<p><strong>Want to test-drive this course?</strong> Check out our live examples on Hubzero: <a href=\"https://geodynamics.org/tools/solidearth\">https://geodynamics.org/tools/solidearth</a></p>\n\n<p>This was the first release on Hubzero at <a href=\"https://geodynamics.org/tools/solidearth\">https://geodynamics.org/tools/solidearth</a></p>\n\n<p><strong>Suggested Citation</strong></p>\n\n<p>If you find any of these resources useful, kindly cite this course package. Please cite both the canonical journal article reference and the course software archived on Zenodo.</p>\n\n<ul>\n\t<li>\n\t<p>Moulik, P. (2023), AVNI: Web-based Model Prototyping and Data Analysis Workflows for Planetary Inferences. <em>Geochemistry, Geophysics, Geosystems</em>, in prep.</p>\n\t</li>\n\t<li>Moulik, P. (2022), AVNI Course: Fundamentals of Solid Earth Science, <a href=\"https://doi.org/10.5281/zenodo.7876674\">https://doi.org/10.5281/zenodo.7876674</a></li>\n</ul>\"",
"keywords":[
"model",
"physics",
"modeling",
"earth",
"seismology",
"geophysics",
"geodesy",
"earth-science",
"geology",
"modeling-tool",
"earthquake-data",
"earthquake",
"earth-observation",
"geodynamics",
"geophysical-inversions",
"seismic-tomography",
"seismic-inversion",
"mineral",
"geochemistry",
"seismic-waves"
],
"publication_date":"2022-12-26",
"related_identifiers":[
{
"identifier":"https://github.com/globalseismology/avni-courses.solid-earth-fundamentals",
"relation":"isSupplementTo",
"scheme":"url"
},
{
"identifier":"https://portal.globalseismology.org/courses/solid-earth-fundamentals",
"relation":"isDescribedBy",
"scheme":"url"
}
],
"license":"GPL-3.0-or-later",
"upload_type":"software"
}