Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ...
This dataset and related code accompany the study "Application of Machine Learning to Proximal Gamma-ray and Magnetic Susceptibility Surveys in the Maritime Antarctic: Assessing the Influence of Periglacial Processes and Landforms." The study investigates the application of machine learnin...
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Online Access: | https://dx.doi.org/10.5281/zenodo.10828282 https://zenodo.org/doi/10.5281/zenodo.10828282 |
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ftdatacite:10.5281/zenodo.10828282 2024-04-28T08:02:55+00:00 Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... Moquedace, Cássio Marques 2024 https://dx.doi.org/10.5281/zenodo.10828282 https://zenodo.org/doi/10.5281/zenodo.10828282 unknown Zenodo https://dx.doi.org/10.5281/zenodo.10828281 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 article Preprint CreativeWork 2024 ftdatacite https://doi.org/10.5281/zenodo.1082828210.5281/zenodo.10828281 2024-04-02T11:39:08Z This dataset and related code accompany the study "Application of Machine Learning to Proximal Gamma-ray and Magnetic Susceptibility Surveys in the Maritime Antarctic: Assessing the Influence of Periglacial Processes and Landforms." The study investigates the application of machine learning techniques to nearby gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic region, with the aim of understanding the influence of periglacial processes and landforms. The data and code provided here allow for a detailed analysis of the results presented in the study, offering valuable insights for researchers interested in periglacial dynamics and geomorphology in the Antarctic region. The study is still in pre-print version; When the final version is published, the codes and rasters can be updated. Instructions for use:This dataset and code is publicly available on Zenodo for academic and research use. Users are encouraged to cite this work when using these resources in their own research. ... Article in Journal/Newspaper Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
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description |
This dataset and related code accompany the study "Application of Machine Learning to Proximal Gamma-ray and Magnetic Susceptibility Surveys in the Maritime Antarctic: Assessing the Influence of Periglacial Processes and Landforms." The study investigates the application of machine learning techniques to nearby gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic region, with the aim of understanding the influence of periglacial processes and landforms. The data and code provided here allow for a detailed analysis of the results presented in the study, offering valuable insights for researchers interested in periglacial dynamics and geomorphology in the Antarctic region. The study is still in pre-print version; When the final version is published, the codes and rasters can be updated. Instructions for use:This dataset and code is publicly available on Zenodo for academic and research use. Users are encouraged to cite this work when using these resources in their own research. ... |
format |
Article in Journal/Newspaper |
author |
Moquedace, Cássio Marques |
spellingShingle |
Moquedace, Cássio Marques Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... |
author_facet |
Moquedace, Cássio Marques |
author_sort |
Moquedace, Cássio Marques |
title |
Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... |
title_short |
Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... |
title_full |
Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... |
title_fullStr |
Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... |
title_full_unstemmed |
Codes/Rasters - Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms ... |
title_sort |
codes/rasters - application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the maritime antarctic: assessing the influence of periglacial processes and landforms ... |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://dx.doi.org/10.5281/zenodo.10828282 https://zenodo.org/doi/10.5281/zenodo.10828282 |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://dx.doi.org/10.5281/zenodo.10828281 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.5281/zenodo.1082828210.5281/zenodo.10828281 |
_version_ |
1797574158311227392 |