Svalbox-DOM_2019-0018_Kvalhovden

Model description: Kvalhovden is a mountain just north of Kvalvågen on the western shores of Storfjorden. The coastal cliffs expose palaeolandslide blocks and related slope failure features that disturb a succession of paralic sediments (Onderdonk and Midtkandal, 2010). The Carolinefjellet, Helvetia...

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Bibliographic Details
Main Authors: Betlem, Peter, Svalbox Team
Format: Dataset
Language:unknown
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/6043835
https://doi.org/10.5281/zenodo.6043835
id ftzenodo:oai:zenodo.org:6043835
record_format openpolar
spelling ftzenodo:oai:zenodo.org:6043835 2023-05-15T14:57:58+02:00 Svalbox-DOM_2019-0018_Kvalhovden Betlem, Peter Svalbox Team name=Kvalhovden; east=18.2393481746; north=77.5104327883 2022-02-11 https://zenodo.org/record/6043835 https://doi.org/10.5281/zenodo.6043835 unknown doi:10.5281/zenodo.6043834 https://zenodo.org/record/6043835 https://doi.org/10.5281/zenodo.6043835 oai:zenodo.org:6043835 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/legalcode digital outcrop models outcrop Svalbard Arctic High Arctic Svalbox digital outcrop virtual geology digital geology virtual outcrop Faults cliffs info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.604383510.5281/zenodo.6043834 2023-03-11T03:59:10Z Model description: Kvalhovden is a mountain just north of Kvalvågen on the western shores of Storfjorden. The coastal cliffs expose palaeolandslide blocks and related slope failure features that disturb a succession of paralic sediments (Onderdonk and Midtkandal, 2010). The Carolinefjellet, Helvetiafjellet, and Rurikfjellet Formations are exposed. 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, v1.7.2.12040).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 Storfjorden Svalbard Zenodo Arctic Carolinefjellet ENVELOPE(15.850,15.850,78.300,78.300) Helvetiafjellet ENVELOPE(16.232,16.232,78.213,78.213) Kvalvågen ENVELOPE(6.810,6.810,62.803,62.803) Rurikfjellet ENVELOPE(18.217,18.217,77.983,77.983) Svalbard
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
Faults
cliffs
spellingShingle digital outcrop models
outcrop
Svalbard
Arctic
High Arctic
Svalbox
digital outcrop
virtual geology
digital geology
virtual outcrop
Faults
cliffs
Betlem, Peter
Svalbox Team
Svalbox-DOM_2019-0018_Kvalhovden
topic_facet digital outcrop models
outcrop
Svalbard
Arctic
High Arctic
Svalbox
digital outcrop
virtual geology
digital geology
virtual outcrop
Faults
cliffs
description Model description: Kvalhovden is a mountain just north of Kvalvågen on the western shores of Storfjorden. The coastal cliffs expose palaeolandslide blocks and related slope failure features that disturb a succession of paralic sediments (Onderdonk and Midtkandal, 2010). The Carolinefjellet, Helvetiafjellet, and Rurikfjellet Formations are exposed. 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, v1.7.2.12040).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
Svalbox Team
author_facet Betlem, Peter
Svalbox Team
author_sort Betlem, Peter
title Svalbox-DOM_2019-0018_Kvalhovden
title_short Svalbox-DOM_2019-0018_Kvalhovden
title_full Svalbox-DOM_2019-0018_Kvalhovden
title_fullStr Svalbox-DOM_2019-0018_Kvalhovden
title_full_unstemmed Svalbox-DOM_2019-0018_Kvalhovden
title_sort svalbox-dom_2019-0018_kvalhovden
publishDate 2022
url https://zenodo.org/record/6043835
https://doi.org/10.5281/zenodo.6043835
op_coverage name=Kvalhovden; east=18.2393481746; north=77.5104327883
long_lat ENVELOPE(15.850,15.850,78.300,78.300)
ENVELOPE(16.232,16.232,78.213,78.213)
ENVELOPE(6.810,6.810,62.803,62.803)
ENVELOPE(18.217,18.217,77.983,77.983)
geographic Arctic
Carolinefjellet
Helvetiafjellet
Kvalvågen
Rurikfjellet
Svalbard
geographic_facet Arctic
Carolinefjellet
Helvetiafjellet
Kvalvågen
Rurikfjellet
Svalbard
genre Arctic
Storfjorden
Svalbard
genre_facet Arctic
Storfjorden
Svalbard
op_relation doi:10.5281/zenodo.6043834
https://zenodo.org/record/6043835
https://doi.org/10.5281/zenodo.6043835
oai:zenodo.org:6043835
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.604383510.5281/zenodo.6043834
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