Svalbox-DOM_2021-0027_Malmberget
Model description: Digital outcrop model of Malmberget, in Jarndalen. Exhibiting outcrops of the Malmberget unit from the Neoproterozoic. 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 p...
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Online Access: | https://dx.doi.org/10.5281/zenodo.6323733 https://zenodo.org/record/6323733 |
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ftdatacite:10.5281/zenodo.6323733 2023-05-15T14:56:20+02:00 Svalbox-DOM_2021-0027_Malmberget van Winden, Veerle Rodes, Nil Betlem, Peter Svalbox Team 2022 https://dx.doi.org/10.5281/zenodo.6323733 https://zenodo.org/record/6323733 unknown Zenodo https://dx.doi.org/10.5281/zenodo.6323734 Embargoed Access Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 info:eu-repo/semantics/embargoedAccess CC-BY-NC digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop Dataset dataset 2022 ftdatacite https://doi.org/10.5281/zenodo.6323733 https://doi.org/10.5281/zenodo.6323734 2022-04-01T17:19:21Z Model description: Digital outcrop model of Malmberget, in Jarndalen. Exhibiting outcrops of the Malmberget unit from the Neoproterozoic. 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, v1.7.3.12473). 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 Malmberget Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard Jarndalen ENVELOPE(14.058,14.058,77.854,77.854) |
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 van Winden, Veerle Rodes, Nil Betlem, Peter Svalbox Team Svalbox-DOM_2021-0027_Malmberget |
topic_facet |
digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop |
description |
Model description: Digital outcrop model of Malmberget, in Jarndalen. Exhibiting outcrops of the Malmberget unit from the Neoproterozoic. 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, v1.7.3.12473). 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 |
van Winden, Veerle Rodes, Nil Betlem, Peter Svalbox Team |
author_facet |
van Winden, Veerle Rodes, Nil Betlem, Peter Svalbox Team |
author_sort |
van Winden, Veerle |
title |
Svalbox-DOM_2021-0027_Malmberget |
title_short |
Svalbox-DOM_2021-0027_Malmberget |
title_full |
Svalbox-DOM_2021-0027_Malmberget |
title_fullStr |
Svalbox-DOM_2021-0027_Malmberget |
title_full_unstemmed |
Svalbox-DOM_2021-0027_Malmberget |
title_sort |
svalbox-dom_2021-0027_malmberget |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://dx.doi.org/10.5281/zenodo.6323733 https://zenodo.org/record/6323733 |
long_lat |
ENVELOPE(14.058,14.058,77.854,77.854) |
geographic |
Arctic Svalbard Jarndalen |
geographic_facet |
Arctic Svalbard Jarndalen |
genre |
Arctic Malmberget Svalbard |
genre_facet |
Arctic Malmberget Svalbard |
op_relation |
https://dx.doi.org/10.5281/zenodo.6323734 |
op_rights |
Embargoed Access Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 info:eu-repo/semantics/embargoedAccess |
op_rightsnorm |
CC-BY-NC |
op_doi |
https://doi.org/10.5281/zenodo.6323733 https://doi.org/10.5281/zenodo.6323734 |
_version_ |
1766328363530584064 |