Svalbox-DOM_2024-0014

Model description: Digital model of Cavendishryggen 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 repo...

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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.11202666
id ftzenodo:oai:zenodo.org:11202666
record_format openpolar
spelling ftzenodo:oai:zenodo.org:11202666 2024-09-15T18:38:22+00:00 Svalbox-DOM_2024-0014 Betlem, Peter Hann, Richard van Hazendonk, Charlotte Svalbox Team 2024-05-16 https://doi.org/10.5281/zenodo.11202666 unknown Zenodo https://zenodo.org/communities/svalbox https://doi.org/10.5281/zenodo.11202665 https://doi.org/10.5281/zenodo.11202666 oai:zenodo.org:11202666 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.1120266610.5281/zenodo.11202665 2024-07-25T19:35:21Z Model description: Digital model of Cavendishryggen 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_2024-0014
topic_facet digital outcrop models
outcrop
Svalbard
Arctic
High Arctic
Svalbox
digital outcrop
virtual geology
digital geology
virtual outcrop
GoNorth2024
description Model description: Digital model of Cavendishryggen 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_2024-0014
title_short Svalbox-DOM_2024-0014
title_full Svalbox-DOM_2024-0014
title_fullStr Svalbox-DOM_2024-0014
title_full_unstemmed Svalbox-DOM_2024-0014
title_sort svalbox-dom_2024-0014
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.11202666
genre Svalbard
genre_facet Svalbard
op_relation https://zenodo.org/communities/svalbox
https://doi.org/10.5281/zenodo.11202665
https://doi.org/10.5281/zenodo.11202666
oai:zenodo.org:11202666
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.1120266610.5281/zenodo.11202665
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