DNV GL Barents sea ...
DNV GL Group AS is a risk and classification company with roots dating back to the founding of Det Norske Veritas (DNV) in 1864. DNV GL operates in the oil, gas and renewable energy sectors. The data produced by DNV GL is stored in their own Environmental Monitoring database (MOD). It comprises appr...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
DNV GL
2020
|
Subjects: | |
Online Access: | https://dx.doi.org/10.15468/6yemrg https://www.gbif.org/dataset/142d6fb1-6778-4f46-b62d-0b96b07b397a |
id |
ftdatacite:10.15468/6yemrg |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.15468/6yemrg 2023-06-11T04:10:32+02:00 DNV GL Barents sea ... Møskeland, Thomas 2020 https://dx.doi.org/10.15468/6yemrg https://www.gbif.org/dataset/142d6fb1-6778-4f46-b62d-0b96b07b397a en eng DNV GL Creative Commons Attribution (CC-BY) 4.0 http://creativecommons.org/licenses/by/4.0/legalcode Samplingevent SAMPLING_EVENT Dataset dataset 2020 ftdatacite https://doi.org/10.15468/6yemrg 2023-05-02T10:07:14Z DNV GL Group AS is a risk and classification company with roots dating back to the founding of Det Norske Veritas (DNV) in 1864. DNV GL operates in the oil, gas and renewable energy sectors. The data produced by DNV GL is stored in their own Environmental Monitoring database (MOD). It comprises approximately 2.8 million species occurrence records, as well as chemical and geology records. This information comes from grab sampling conducted in areas around oil drilling stations. GBIF Norway is working with DNV GL to publish the species abundance data in the MOD database. The grab sampling process is done on a yearly basis around the months of May and June, but not all stations are sampled each year. In general sampling is done around each station every third year, and in some areas samples have been repeated since the 1990s. This particular dataset is from the southern Barents Sea area. ... Dataset Barents Sea DataCite Metadata Store (German National Library of Science and Technology) Barents Sea Norway |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Samplingevent |
spellingShingle |
Samplingevent Møskeland, Thomas DNV GL Barents sea ... |
topic_facet |
Samplingevent |
description |
DNV GL Group AS is a risk and classification company with roots dating back to the founding of Det Norske Veritas (DNV) in 1864. DNV GL operates in the oil, gas and renewable energy sectors. The data produced by DNV GL is stored in their own Environmental Monitoring database (MOD). It comprises approximately 2.8 million species occurrence records, as well as chemical and geology records. This information comes from grab sampling conducted in areas around oil drilling stations. GBIF Norway is working with DNV GL to publish the species abundance data in the MOD database. The grab sampling process is done on a yearly basis around the months of May and June, but not all stations are sampled each year. In general sampling is done around each station every third year, and in some areas samples have been repeated since the 1990s. This particular dataset is from the southern Barents Sea area. ... |
format |
Dataset |
author |
Møskeland, Thomas |
author_facet |
Møskeland, Thomas |
author_sort |
Møskeland, Thomas |
title |
DNV GL Barents sea ... |
title_short |
DNV GL Barents sea ... |
title_full |
DNV GL Barents sea ... |
title_fullStr |
DNV GL Barents sea ... |
title_full_unstemmed |
DNV GL Barents sea ... |
title_sort |
dnv gl barents sea ... |
publisher |
DNV GL |
publishDate |
2020 |
url |
https://dx.doi.org/10.15468/6yemrg https://www.gbif.org/dataset/142d6fb1-6778-4f46-b62d-0b96b07b397a |
geographic |
Barents Sea Norway |
geographic_facet |
Barents Sea Norway |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_rights |
Creative Commons Attribution (CC-BY) 4.0 http://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.15468/6yemrg |
_version_ |
1768384990764072960 |