Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ...
Sea ice-associated and pelagic highly branched isoprenoids (HBIs) and sterols in pelagic zooplankton (Calanus glacialis, Calanus hyperboreus, Calanus finmarchicus, Themisto libellula, Themisto abyssorum) collected during Nansen Legacy cruise Q4 ...
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npolar.no
2022
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| Online Access: | https://dx.doi.org/10.21334/npolar.2022.37159527 https://data.npolar.no/dataset/37159527-50ec-45fb-85ba-7c55b0d3169c |
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ftdatacite:10.21334/npolar.2022.37159527 |
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openpolar |
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ftdatacite:10.21334/npolar.2022.37159527 2024-03-31T07:51:53+00:00 Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... Kohlbach, Doreen Wold, Anette Keck, Amalia Schmidt, Katrin Smik, Lukas Belt, Simon T. Hop, Haakon Assmy, Philipp 2022 https://dx.doi.org/10.21334/npolar.2022.37159527 https://data.npolar.no/dataset/37159527-50ec-45fb-85ba-7c55b0d3169c unknown npolar.no https://data.npolar.no/dataset/37159527-50ec-45fb-85ba-7c55b0d3169c 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/10.21334/npolar.2022.37159527 2024-03-04T14:17:38Z Sea ice-associated and pelagic highly branched isoprenoids (HBIs) and sterols in pelagic zooplankton (Calanus glacialis, Calanus hyperboreus, Calanus finmarchicus, Themisto libellula, Themisto abyssorum) collected during Nansen Legacy cruise Q4 ... Dataset Barents Sea Calanus finmarchicus Calanus glacialis Calanus hyperboreus Sea ice Themisto abyssorum Themisto libellula 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 |
Sea ice-associated and pelagic highly branched isoprenoids (HBIs) and sterols in pelagic zooplankton (Calanus glacialis, Calanus hyperboreus, Calanus finmarchicus, Themisto libellula, Themisto abyssorum) collected during Nansen Legacy cruise Q4 ... |
| format |
Dataset |
| author |
Kohlbach, Doreen Wold, Anette Keck, Amalia Schmidt, Katrin Smik, Lukas Belt, Simon T. Hop, Haakon Assmy, Philipp |
| spellingShingle |
Kohlbach, Doreen Wold, Anette Keck, Amalia Schmidt, Katrin Smik, Lukas Belt, Simon T. Hop, Haakon Assmy, Philipp Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... |
| author_facet |
Kohlbach, Doreen Wold, Anette Keck, Amalia Schmidt, Katrin Smik, Lukas Belt, Simon T. Hop, Haakon Assmy, Philipp |
| author_sort |
Kohlbach, Doreen |
| title |
Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... |
| title_short |
Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... |
| title_full |
Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... |
| title_fullStr |
Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... |
| title_full_unstemmed |
Highly branched isoprenoids and sterols in pelagic Barents Sea zooplankton, winter 2019 ... |
| title_sort |
highly branched isoprenoids and sterols in pelagic barents sea zooplankton, winter 2019 ... |
| publisher |
npolar.no |
| publishDate |
2022 |
| url |
https://dx.doi.org/10.21334/npolar.2022.37159527 https://data.npolar.no/dataset/37159527-50ec-45fb-85ba-7c55b0d3169c |
| geographic |
Barents Sea |
| geographic_facet |
Barents Sea |
| genre |
Barents Sea Calanus finmarchicus Calanus glacialis Calanus hyperboreus Sea ice Themisto abyssorum Themisto libellula |
| genre_facet |
Barents Sea Calanus finmarchicus Calanus glacialis Calanus hyperboreus Sea ice Themisto abyssorum Themisto libellula |
| op_relation |
https://data.npolar.no/dataset/37159527-50ec-45fb-85ba-7c55b0d3169c |
| 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/10.21334/npolar.2022.37159527 |
| _version_ |
1795030717150789632 |