Svalbox-DOM_2020-0011_Sveasletta
Model description: 3D Model of outcrop along the coastline of Sveasletta. The outcropping succession is the Vardebukta Formation. 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 f...
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2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.5627343 https://zenodo.org/record/5627343 |
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ftdatacite:10.5281/zenodo.5627343 2023-05-15T14:56:20+02:00 Svalbox-DOM_2020-0011_Sveasletta Lord, Gareth Janocha, Julian Rodes, Nil Betlem, Peter 2021 https://dx.doi.org/10.5281/zenodo.5627343 https://zenodo.org/record/5627343 unknown Zenodo https://zenodo.org/communities/svalbox https://dx.doi.org/10.5281/zenodo.5627342 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.5627343 https://doi.org/10.5281/zenodo.5627342 2022-04-01T17:19:21Z Model description: 3D Model of outcrop along the coastline of Sveasletta. The outcropping succession is the Vardebukta Formation. 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 Sveasletta ENVELOPE(14.421,14.421,78.563,78.563) |
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 Lord, Gareth Janocha, Julian Rodes, Nil Betlem, Peter Svalbox-DOM_2020-0011_Sveasletta |
topic_facet |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop |
description |
Model description: 3D Model of outcrop along the coastline of Sveasletta. The outcropping succession is the Vardebukta Formation. 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 |
Lord, Gareth Janocha, Julian Rodes, Nil Betlem, Peter |
author_facet |
Lord, Gareth Janocha, Julian Rodes, Nil Betlem, Peter |
author_sort |
Lord, Gareth |
title |
Svalbox-DOM_2020-0011_Sveasletta |
title_short |
Svalbox-DOM_2020-0011_Sveasletta |
title_full |
Svalbox-DOM_2020-0011_Sveasletta |
title_fullStr |
Svalbox-DOM_2020-0011_Sveasletta |
title_full_unstemmed |
Svalbox-DOM_2020-0011_Sveasletta |
title_sort |
svalbox-dom_2020-0011_sveasletta |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://dx.doi.org/10.5281/zenodo.5627343 https://zenodo.org/record/5627343 |
long_lat |
ENVELOPE(14.421,14.421,78.563,78.563) |
geographic |
Arctic Svalbard Sveasletta |
geographic_facet |
Arctic Svalbard Sveasletta |
genre |
Arctic Svalbard |
genre_facet |
Arctic Svalbard |
op_relation |
https://zenodo.org/communities/svalbox https://dx.doi.org/10.5281/zenodo.5627342 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.5627343 https://doi.org/10.5281/zenodo.5627342 |
_version_ |
1766328350065819648 |