Svalbox-DOM_2018-0001_Adventelva
Model description: 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 param...
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2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.5702295 https://zenodo.org/record/5702295 |
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ftdatacite:10.5281/zenodo.5702295 2023-05-15T14:55:05+02:00 Svalbox-DOM_2018-0001_Adventelva Betlem, Peter Lord, Gareth Mosociova, Tereza Rodes, Nil 2021 https://dx.doi.org/10.5281/zenodo.5702295 https://zenodo.org/record/5702295 unknown Zenodo https://zenodo.org/communities/svalbox https://dx.doi.org/10.5281/zenodo.5702296 https://zenodo.org/communities/svalbox Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop Dataset dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.5702295 https://doi.org/10.5281/zenodo.5702296 2022-02-09T13:41:28Z Model description: 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 DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
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 Betlem, Peter Lord, Gareth Mosociova, Tereza Rodes, Nil Svalbox-DOM_2018-0001_Adventelva |
topic_facet |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop |
description |
Model description: 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_2018-0001_Adventelva |
title_short |
Svalbox-DOM_2018-0001_Adventelva |
title_full |
Svalbox-DOM_2018-0001_Adventelva |
title_fullStr |
Svalbox-DOM_2018-0001_Adventelva |
title_full_unstemmed |
Svalbox-DOM_2018-0001_Adventelva |
title_sort |
svalbox-dom_2018-0001_adventelva |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5702295 https://zenodo.org/record/5702295 |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Arctic Svalbard |
genre_facet |
Arctic Svalbard |
op_relation |
https://zenodo.org/communities/svalbox https://dx.doi.org/10.5281/zenodo.5702296 https://zenodo.org/communities/svalbox |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.5702295 https://doi.org/10.5281/zenodo.5702296 |
_version_ |
1766326878252040192 |