Svalbox-DOM_2022-0036

Model description: Digital outcrop model of Ymerdalen, 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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Main Authors: Horota, Rafael Kenji, Janocha, Julian, Svalbox Team
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Online Access:https://doi.org/10.5281/zenodo.12742918
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spelling ftzenodo:oai:zenodo.org:12742918 2024-09-15T18:38:22+00:00 Svalbox-DOM_2022-0036 Horota, Rafael Kenji Janocha, Julian Svalbox Team 2024-07-15 https://doi.org/10.5281/zenodo.12742918 unknown Zenodo https://zenodo.org/communities/svalbox https://doi.org/10.5281/zenodo.12742917 https://doi.org/10.5281/zenodo.12742918 oai:zenodo.org:12742918 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.1274291810.5281/zenodo.12742917 2024-07-27T06:26:37Z Model description: Digital outcrop model of Ymerdalen, 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
institution Open Polar
collection 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_2022-0036
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 Ymerdalen, 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_2022-0036
title_short Svalbox-DOM_2022-0036
title_full Svalbox-DOM_2022-0036
title_fullStr Svalbox-DOM_2022-0036
title_full_unstemmed Svalbox-DOM_2022-0036
title_sort svalbox-dom_2022-0036
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.12742918
genre Svalbard
genre_facet Svalbard
op_relation https://zenodo.org/communities/svalbox
https://doi.org/10.5281/zenodo.12742917
https://doi.org/10.5281/zenodo.12742918
oai:zenodo.org:12742918
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.1274291810.5281/zenodo.12742917
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