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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Bibliographic Details
Main Authors: Lord, Gareth, Janocha, Julian, Rodes, Nil, Betlem, Peter
Format: Dataset
Language:unknown
Published: Zenodo 2021
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.5627342
https://zenodo.org/record/5627342
id ftdatacite:10.5281/zenodo.5627342
record_format openpolar
spelling ftdatacite:10.5281/zenodo.5627342 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.5627342 https://zenodo.org/record/5627342 unknown Zenodo https://zenodo.org/communities/svalbox https://dx.doi.org/10.5281/zenodo.5627343 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.5627342 https://doi.org/10.5281/zenodo.5627343 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.5627342
https://zenodo.org/record/5627342
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.5627343
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.5627342
https://doi.org/10.5281/zenodo.5627343
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