Codes and training data for Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data

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Autor principal: Liebsch, Jonas
Formato: Recurso digital
Publicado: Zenodo 2025
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author Liebsch, Jonas
author_facet Liebsch, Jonas
contents <p>Codes and training data for Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data as supplement to </p> <p>Liebsch, Ebbing, Matsuoka - <span lang="EN-GB">Application of Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data – An example for the Wilkes and Aurora Subglacial Basin region, East Antarctica</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17250123
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Codes and training data for Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data
Liebsch, Jonas
<p>Codes and training data for Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data as supplement to </p> <p>Liebsch, Ebbing, Matsuoka - <span lang="EN-GB">Application of Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data – An example for the Wilkes and Aurora Subglacial Basin region, East Antarctica</span></p>
title Codes and training data for Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data
url https://doi.org/10.5281/zenodo.17250123