Svalbox-DOM_2020-0008_Helvetiadalen
Model description: One of the outcrops found in Helvetiadalen, Spitsbergen.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 in...
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2021
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Online Access: | https://zenodo.org/record/5608131 https://doi.org/10.5281/zenodo.5608131 |
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ftzenodo:oai:zenodo.org:5608131 2023-06-06T11:50:19+02:00 Svalbox-DOM_2020-0008_Helvetiadalen Betlem, Peter Lord, Gareth Mosociova, Tereza Rodes, Nil 2021-10-28 https://zenodo.org/record/5608131 https://doi.org/10.5281/zenodo.5608131 unknown doi:10.5281/zenodo.5608130 https://zenodo.org/communities/svalbox https://zenodo.org/communities/unis https://zenodo.org/record/5608131 https://doi.org/10.5281/zenodo.5608131 oai:zenodo.org:5608131 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop shales fault snow info:eu-repo/semantics/other dataset 2021 ftzenodo https://doi.org/10.5281/zenodo.560813110.5281/zenodo.5608130 2023-04-13T22:01:21Z Model description: One of the outcrops found in Helvetiadalen, Spitsbergen.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, v1.7.1.11797).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. Dataset Arctic Svalbard Zenodo Arctic Svalbard Helvetiadalen ENVELOPE(16.380,16.380,78.217,78.217) |
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 shales fault snow |
spellingShingle |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop shales fault snow Betlem, Peter Lord, Gareth Mosociova, Tereza Rodes, Nil Svalbox-DOM_2020-0008_Helvetiadalen |
topic_facet |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop shales fault snow |
description |
Model description: One of the outcrops found in Helvetiadalen, Spitsbergen.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, v1.7.1.11797).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. |
format |
Dataset |
author |
Betlem, Peter Lord, Gareth Mosociova, Tereza Rodes, Nil |
author_facet |
Betlem, Peter Lord, Gareth Mosociova, Tereza Rodes, Nil |
author_sort |
Betlem, Peter |
title |
Svalbox-DOM_2020-0008_Helvetiadalen |
title_short |
Svalbox-DOM_2020-0008_Helvetiadalen |
title_full |
Svalbox-DOM_2020-0008_Helvetiadalen |
title_fullStr |
Svalbox-DOM_2020-0008_Helvetiadalen |
title_full_unstemmed |
Svalbox-DOM_2020-0008_Helvetiadalen |
title_sort |
svalbox-dom_2020-0008_helvetiadalen |
publishDate |
2021 |
url |
https://zenodo.org/record/5608131 https://doi.org/10.5281/zenodo.5608131 |
long_lat |
ENVELOPE(16.380,16.380,78.217,78.217) |
geographic |
Arctic Svalbard Helvetiadalen |
geographic_facet |
Arctic Svalbard Helvetiadalen |
genre |
Arctic Svalbard |
genre_facet |
Arctic Svalbard |
op_relation |
doi:10.5281/zenodo.5608130 https://zenodo.org/communities/svalbox https://zenodo.org/communities/unis https://zenodo.org/record/5608131 https://doi.org/10.5281/zenodo.5608131 oai:zenodo.org:5608131 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.560813110.5281/zenodo.5608130 |
_version_ |
1767956088680873984 |