Svalbox-DOM_2022-0032
Model description: Digital outcrop model of Kapp Kåre, in Bjørnoya, Svabard archipelago. Data availability: All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdire...
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Online Access: | https://doi.org/10.5281/zenodo.12731348 |
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ftzenodo:oai:zenodo.org:12731348 2024-09-15T18:38:22+00:00 Svalbox-DOM_2022-0032 Horota, Rafael Kenji Janocha, Julian Svalbox Team 2024-07-12 https://doi.org/10.5281/zenodo.12731348 unknown Zenodo https://zenodo.org/communities/svalbox https://doi.org/10.5281/zenodo.12731347 https://doi.org/10.5281/zenodo.12731348 oai:zenodo.org:12731348 info:eu-repo/semantics/openAccess Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1273134810.5281/zenodo.12731347 2024-07-26T03:58:21Z Model description: Digital outcrop model of Kapp Kåre, in Bjørnoya, Svabard archipelago. Data availability: All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532). Exported model data use CRS epsg:32633. Show and visualise on Svalbox.no : Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community. For more information, contact the Svalbox team at svalbox[at]gmail.com. This data set forms part of the Svalbox Digital Model Database. Please cite the database alongside this resource: Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1 Other/Unknown Material Svalbard Zenodo |
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Open Polar |
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Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop |
spellingShingle |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop Horota, Rafael Kenji Janocha, Julian Svalbox Team Svalbox-DOM_2022-0032 |
topic_facet |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop |
description |
Model description: Digital outcrop model of Kapp Kåre, in Bjørnoya, Svabard archipelago. Data availability: All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532). Exported model data use CRS epsg:32633. Show and visualise on Svalbox.no : Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community. For more information, contact the Svalbox team at svalbox[at]gmail.com. This data set forms part of the Svalbox Digital Model Database. Please cite the database alongside this resource: Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1 |
format |
Other/Unknown Material |
author |
Horota, Rafael Kenji Janocha, Julian Svalbox Team |
author_facet |
Horota, Rafael Kenji Janocha, Julian Svalbox Team |
author_sort |
Horota, Rafael Kenji |
title |
Svalbox-DOM_2022-0032 |
title_short |
Svalbox-DOM_2022-0032 |
title_full |
Svalbox-DOM_2022-0032 |
title_fullStr |
Svalbox-DOM_2022-0032 |
title_full_unstemmed |
Svalbox-DOM_2022-0032 |
title_sort |
svalbox-dom_2022-0032 |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://doi.org/10.5281/zenodo.12731348 |
genre |
Svalbard |
genre_facet |
Svalbard |
op_relation |
https://zenodo.org/communities/svalbox https://doi.org/10.5281/zenodo.12731347 https://doi.org/10.5281/zenodo.12731348 oai:zenodo.org:12731348 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.1273134810.5281/zenodo.12731347 |
_version_ |
1810482775082401792 |