Codes and training data for Self-Organizing Maps to characterize subglacial bedrock properties based on gravity, magnetic and radar data
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| Format: | Recurso digital |
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2025
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| _version_ | 1866902259807289344 |
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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 |