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...
Main Author: | |
---|---|
Format: | Report |
Language: | unknown |
Published: |
Zenodo
2024
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.10828282 |
id |
ftzenodo:oai:zenodo.org:10828282 |
---|---|
record_format |
openpolar |
spelling |
ftzenodo:oai:zenodo.org:10828282 2024-09-15T17:41:29+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 2024-03-18 https://doi.org/10.5281/zenodo.10828282 unknown Zenodo https://zenodo.org/communities/labgeoufv_brazil https://doi.org/10.5281/zenodo.10828281 https://doi.org/10.5281/zenodo.10828282 oai:zenodo.org:10828282 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/preprint 2024 ftzenodo https://doi.org/10.5281/zenodo.1082828210.5281/zenodo.10828281 2024-07-26T11:39:18Z 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. Report Antarc* Antarctic Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
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 |
Report |
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://doi.org/10.5281/zenodo.10828282 |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://zenodo.org/communities/labgeoufv_brazil https://doi.org/10.5281/zenodo.10828281 https://doi.org/10.5281/zenodo.10828282 oai:zenodo.org:10828282 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.1082828210.5281/zenodo.10828281 |
_version_ |
1810487683408986112 |