Svalbox-DOM_2024-0002

Model description: Model of the south-western side of Tåkefjellet 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 p...

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Main Authors: Betlem, Peter, Hann, Richard, van Hazendonk, Charlotte, Svalbox Team
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
Subjects:
Online Access:https://doi.org/10.5281/zenodo.11197311
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:11197311 2024-09-15T18:38:22+00:00 Svalbox-DOM_2024-0002 Betlem, Peter Hann, Richard van Hazendonk, Charlotte Svalbox Team 2024-05-15 https://doi.org/10.5281/zenodo.11197311 unknown Zenodo https://zenodo.org/communities/svalbox https://doi.org/10.5281/zenodo.11197310 https://doi.org/10.5281/zenodo.11197311 oai:zenodo.org:11197311 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 GoNorth2024 info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1119731110.5281/zenodo.11197310 2024-07-27T06:00:26Z Model description: Model of the south-western side of Tåkefjellet 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
GoNorth2024
spellingShingle digital outcrop models
outcrop
Svalbard
Arctic
High Arctic
Svalbox
digital outcrop
virtual geology
digital geology
virtual outcrop
GoNorth2024
Betlem, Peter
Hann, Richard
van Hazendonk, Charlotte
Svalbox Team
Svalbox-DOM_2024-0002
topic_facet digital outcrop models
outcrop
Svalbard
Arctic
High Arctic
Svalbox
digital outcrop
virtual geology
digital geology
virtual outcrop
GoNorth2024
description Model description: Model of the south-western side of Tåkefjellet 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 Betlem, Peter
Hann, Richard
van Hazendonk, Charlotte
Svalbox Team
author_facet Betlem, Peter
Hann, Richard
van Hazendonk, Charlotte
Svalbox Team
author_sort Betlem, Peter
title Svalbox-DOM_2024-0002
title_short Svalbox-DOM_2024-0002
title_full Svalbox-DOM_2024-0002
title_fullStr Svalbox-DOM_2024-0002
title_full_unstemmed Svalbox-DOM_2024-0002
title_sort svalbox-dom_2024-0002
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.11197311
genre Svalbard
genre_facet Svalbard
op_relation https://zenodo.org/communities/svalbox
https://doi.org/10.5281/zenodo.11197310
https://doi.org/10.5281/zenodo.11197311
oai:zenodo.org:11197311
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.1119731110.5281/zenodo.11197310
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