Biomarker data from surface sediments and environmental data from the (sub)Arctic ...
For the interpretation of proxy reconstructions it is necessary to understand the recent signals of different sea-ice proxies from various regions. We present 260 new sediment surface samples collected in the (sub-) Arctic Oceans that were analysed for specific sea-ice (IP~25~) and open-water phytop...
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Online Access: | https://dx.doi.org/10.1594/pangaea.905494 https://doi.pangaea.de/10.1594/PANGAEA.905494 |
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ftdatacite:10.1594/pangaea.905494 2024-09-15T18:30:32+00:00 Biomarker data from surface sediments and environmental data from the (sub)Arctic ... Kolling, Henriette Marie Stein, Ruediger Fahl, Kirsten Sadatzki, Henrik de Vernal, Anne Xiao, Xiaotong 2020 application/zip https://dx.doi.org/10.1594/pangaea.905494 https://doi.pangaea.de/10.1594/PANGAEA.905494 en eng PANGAEA Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Publication Series of Datasets Collection article 2020 ftdatacite https://doi.org/10.1594/pangaea.905494 2024-08-01T10:56:44Z For the interpretation of proxy reconstructions it is necessary to understand the recent signals of different sea-ice proxies from various regions. We present 260 new sediment surface samples collected in the (sub-) Arctic Oceans that were analysed for specific sea-ice (IP~25~) and open-water phytoplankton biomarkers (brassicasterol, dinosterol, HBI III). This new biomarker dataset was combined with 615 previously published biomarker surface samples into a pan-Arctic database. This comprehensive dataset is compared to satellite-based sea-ice concentrations and other environmental parameters to contribute to a better understanding of biomarker distributions as a basis for sea-ice reconstructions on a (sub-) Arctic scale. ... Article in Journal/Newspaper Phytoplankton Sea ice DataCite |
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Open Polar |
collection |
DataCite |
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ftdatacite |
language |
English |
description |
For the interpretation of proxy reconstructions it is necessary to understand the recent signals of different sea-ice proxies from various regions. We present 260 new sediment surface samples collected in the (sub-) Arctic Oceans that were analysed for specific sea-ice (IP~25~) and open-water phytoplankton biomarkers (brassicasterol, dinosterol, HBI III). This new biomarker dataset was combined with 615 previously published biomarker surface samples into a pan-Arctic database. This comprehensive dataset is compared to satellite-based sea-ice concentrations and other environmental parameters to contribute to a better understanding of biomarker distributions as a basis for sea-ice reconstructions on a (sub-) Arctic scale. ... |
format |
Article in Journal/Newspaper |
author |
Kolling, Henriette Marie Stein, Ruediger Fahl, Kirsten Sadatzki, Henrik de Vernal, Anne Xiao, Xiaotong |
spellingShingle |
Kolling, Henriette Marie Stein, Ruediger Fahl, Kirsten Sadatzki, Henrik de Vernal, Anne Xiao, Xiaotong Biomarker data from surface sediments and environmental data from the (sub)Arctic ... |
author_facet |
Kolling, Henriette Marie Stein, Ruediger Fahl, Kirsten Sadatzki, Henrik de Vernal, Anne Xiao, Xiaotong |
author_sort |
Kolling, Henriette Marie |
title |
Biomarker data from surface sediments and environmental data from the (sub)Arctic ... |
title_short |
Biomarker data from surface sediments and environmental data from the (sub)Arctic ... |
title_full |
Biomarker data from surface sediments and environmental data from the (sub)Arctic ... |
title_fullStr |
Biomarker data from surface sediments and environmental data from the (sub)Arctic ... |
title_full_unstemmed |
Biomarker data from surface sediments and environmental data from the (sub)Arctic ... |
title_sort |
biomarker data from surface sediments and environmental data from the (sub)arctic ... |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://dx.doi.org/10.1594/pangaea.905494 https://doi.pangaea.de/10.1594/PANGAEA.905494 |
genre |
Phytoplankton Sea ice |
genre_facet |
Phytoplankton Sea ice |
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/10.1594/pangaea.905494 |
_version_ |
1810471993575735296 |