Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ...
This dataset consists of wet weights per species, caught with a MIK net during the seasonal surveys of the Nansen Legacy project. Samples were taken at seven station by hauling a MIK net vertically from 10-20 meters above the bottom to the surface. Details on the sampling can be found in the paper b...
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Institute of Marine Research
2022
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Online Access: | https://dx.doi.org/10.21335/nmdc-478782688 http://metadata.nmdc.no/metadata-api/landingpage/9411ebb0c5867e48e3831cade2991bab |
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ftdatacite:10.21335/nmdc-478782688 2023-06-11T04:10:33+02:00 Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... Ingvaldsen, Randi Bagøien, Espen 2022 https://dx.doi.org/10.21335/nmdc-478782688 http://metadata.nmdc.no/metadata-api/landingpage/9411ebb0c5867e48e3831cade2991bab unknown Institute of Marine Research https://dx.doi.org/10.21335/NMDC-1549427017 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Dataset dataset 2022 ftdatacite https://doi.org/10.21335/nmdc-47878268810.21335/NMDC-1549427017 2023-05-02T11:09:29Z This dataset consists of wet weights per species, caught with a MIK net during the seasonal surveys of the Nansen Legacy project. Samples were taken at seven station by hauling a MIK net vertically from 10-20 meters above the bottom to the surface. Details on the sampling can be found in the paper by Van Engeland et al. 2022. Sampling volumes and maximal hauling depths are provided to calculate concentrations and area-normalized values. ... Dataset Barents Sea DataCite Metadata Store (German National Library of Science and Technology) Barents Sea |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
This dataset consists of wet weights per species, caught with a MIK net during the seasonal surveys of the Nansen Legacy project. Samples were taken at seven station by hauling a MIK net vertically from 10-20 meters above the bottom to the surface. Details on the sampling can be found in the paper by Van Engeland et al. 2022. Sampling volumes and maximal hauling depths are provided to calculate concentrations and area-normalized values. ... |
format |
Dataset |
author |
Ingvaldsen, Randi Bagøien, Espen |
spellingShingle |
Ingvaldsen, Randi Bagøien, Espen Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... |
author_facet |
Ingvaldsen, Randi Bagøien, Espen |
author_sort |
Ingvaldsen, Randi |
title |
Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... |
title_short |
Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... |
title_full |
Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... |
title_fullStr |
Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... |
title_full_unstemmed |
Macrozooplankton biomass in the northern Barents Sea from seasonal surveys ... |
title_sort |
macrozooplankton biomass in the northern barents sea from seasonal surveys ... |
publisher |
Institute of Marine Research |
publishDate |
2022 |
url |
https://dx.doi.org/10.21335/nmdc-478782688 http://metadata.nmdc.no/metadata-api/landingpage/9411ebb0c5867e48e3831cade2991bab |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea |
genre_facet |
Barents Sea |
op_relation |
https://dx.doi.org/10.21335/NMDC-1549427017 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.21335/nmdc-47878268810.21335/NMDC-1549427017 |
_version_ |
1768385002449403904 |