Meroplankton in Isfjorden 2016 to 2017 ...
## Methods ### Study area This dataset is the result of a sampling program in Isfjorden on the west coast of Spitsbergen, Svalbard. ### Time coverage The sampling was conducted in 2016 and 2017, with one sampling per season; summer and autumn in 2016 and winter and spring in 2017. ### Sampling 50 se...
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Online Access: | https://dx.doi.org/10.15468/c2m9zk https://www.gbif.org/dataset/e697326b-48d3-44ee-8b8d-0c9ee26c16d7 |
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ftdatacite:10.15468/c2m9zk 2024-04-28T08:26:37+00:00 Meroplankton in Isfjorden 2016 to 2017 ... Akvaplan-Niva 2022 https://dx.doi.org/10.15468/c2m9zk https://www.gbif.org/dataset/e697326b-48d3-44ee-8b8d-0c9ee26c16d7 en eng Akvaplan-niva Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 SAMPLING_EVENT dataset Dataset 2022 ftdatacite https://doi.org/10.15468/c2m9zk 2024-04-02T10:11:16Z ## Methods ### Study area This dataset is the result of a sampling program in Isfjorden on the west coast of Spitsbergen, Svalbard. ### Time coverage The sampling was conducted in 2016 and 2017, with one sampling per season; summer and autumn in 2016 and winter and spring in 2017. ### Sampling 50 sea water samples were collected at two stations named "n1" and "s2". On each sampling date three sampling protocols were used: - a fine net deployed horizontally by a diver (100 µm mesh) - a specialized water pump (hoover/vacuum, 100 µm) deployed at a certain depth - vertical plankton net tows (WP2-net, 65 µm). Both the diver's net and vacuum pump sampled from 6 and 12 meters depth at each station, while the WP2-net sampled from 50 to 0 meters and from 12 to 0 meters depth. For station "s2", the sampling at 6 meters with a diver's net and vacuum pump was carried out in the autumn of 2017 and not together with the other sampling that occurred in the autumn of 2016. ## Taxonomy The dataset was analysed using image ... Dataset Isfjord* Isfjord* Isfjorden Isfjorden Svalbard Spitsbergen DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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English |
description |
## Methods ### Study area This dataset is the result of a sampling program in Isfjorden on the west coast of Spitsbergen, Svalbard. ### Time coverage The sampling was conducted in 2016 and 2017, with one sampling per season; summer and autumn in 2016 and winter and spring in 2017. ### Sampling 50 sea water samples were collected at two stations named "n1" and "s2". On each sampling date three sampling protocols were used: - a fine net deployed horizontally by a diver (100 µm mesh) - a specialized water pump (hoover/vacuum, 100 µm) deployed at a certain depth - vertical plankton net tows (WP2-net, 65 µm). Both the diver's net and vacuum pump sampled from 6 and 12 meters depth at each station, while the WP2-net sampled from 50 to 0 meters and from 12 to 0 meters depth. For station "s2", the sampling at 6 meters with a diver's net and vacuum pump was carried out in the autumn of 2017 and not together with the other sampling that occurred in the autumn of 2016. ## Taxonomy The dataset was analysed using image ... |
format |
Dataset |
author |
Akvaplan-Niva |
spellingShingle |
Akvaplan-Niva Meroplankton in Isfjorden 2016 to 2017 ... |
author_facet |
Akvaplan-Niva |
author_sort |
Akvaplan-Niva |
title |
Meroplankton in Isfjorden 2016 to 2017 ... |
title_short |
Meroplankton in Isfjorden 2016 to 2017 ... |
title_full |
Meroplankton in Isfjorden 2016 to 2017 ... |
title_fullStr |
Meroplankton in Isfjorden 2016 to 2017 ... |
title_full_unstemmed |
Meroplankton in Isfjorden 2016 to 2017 ... |
title_sort |
meroplankton in isfjorden 2016 to 2017 ... |
publisher |
Akvaplan-niva |
publishDate |
2022 |
url |
https://dx.doi.org/10.15468/c2m9zk https://www.gbif.org/dataset/e697326b-48d3-44ee-8b8d-0c9ee26c16d7 |
genre |
Isfjord* Isfjord* Isfjorden Isfjorden Svalbard Spitsbergen |
genre_facet |
Isfjord* Isfjord* Isfjorden Isfjorden Svalbard Spitsbergen |
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/10.15468/c2m9zk |
_version_ |
1797585917534273536 |