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Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020

Time series are essential for studying the long-term effects of human impact and climatic changes on the natural environment. Although data exist, no long-term phytoplankton dataset for the Norwegian coastal area has been compiled and made publicly available in a standardised format. Here we report...

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Autores principales: Lundsør, Elisabeth, Lømsland, Evy Rigmor, Johnsen, Torbjørn Martin, Engesmo, Anette, King, Andrew Luke, Staalstrøm, Andrè, Norli, Marit, Magnusson, Jan, Sørensen, Kai, Edvardsen, Bente, Eikrem, Wenche
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751269/
https://www.ncbi.nlm.nih.gov/pubmed/36517507
http://dx.doi.org/10.1038/s41597-022-01869-3
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author Lundsør, Elisabeth
Lømsland, Evy Rigmor
Johnsen, Torbjørn Martin
Engesmo, Anette
King, Andrew Luke
Staalstrøm, Andrè
Norli, Marit
Magnusson, Jan
Sørensen, Kai
Edvardsen, Bente
Eikrem, Wenche
author_facet Lundsør, Elisabeth
Lømsland, Evy Rigmor
Johnsen, Torbjørn Martin
Engesmo, Anette
King, Andrew Luke
Staalstrøm, Andrè
Norli, Marit
Magnusson, Jan
Sørensen, Kai
Edvardsen, Bente
Eikrem, Wenche
author_sort Lundsør, Elisabeth
collection PubMed
description Time series are essential for studying the long-term effects of human impact and climatic changes on the natural environment. Although data exist, no long-term phytoplankton dataset for the Norwegian coastal area has been compiled and made publicly available in a standardised format. Here we report on a compilation of phytoplankton data from inner Oslofjorden going back more than a century. The database contains 605 sampling events from 1896 to 2020, and environmental data has also been provided when available. Although the sampling frequency has varied over time, the high taxonomic quality and relatively similar methodology make it very useful. For the last 15 years (2006–2020), the sampling frequency has been almost monthly throughout the year. This dataset can be used for time series analysis to understand community structure and changes over time. It can also be used to study common taxa’ responses to environmental variables and changes, seasonal or annual species diversity and be useful for developing ecological indicators.
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spelling pubmed-97512692022-12-16 Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020 Lundsør, Elisabeth Lømsland, Evy Rigmor Johnsen, Torbjørn Martin Engesmo, Anette King, Andrew Luke Staalstrøm, Andrè Norli, Marit Magnusson, Jan Sørensen, Kai Edvardsen, Bente Eikrem, Wenche Sci Data Data Descriptor Time series are essential for studying the long-term effects of human impact and climatic changes on the natural environment. Although data exist, no long-term phytoplankton dataset for the Norwegian coastal area has been compiled and made publicly available in a standardised format. Here we report on a compilation of phytoplankton data from inner Oslofjorden going back more than a century. The database contains 605 sampling events from 1896 to 2020, and environmental data has also been provided when available. Although the sampling frequency has varied over time, the high taxonomic quality and relatively similar methodology make it very useful. For the last 15 years (2006–2020), the sampling frequency has been almost monthly throughout the year. This dataset can be used for time series analysis to understand community structure and changes over time. It can also be used to study common taxa’ responses to environmental variables and changes, seasonal or annual species diversity and be useful for developing ecological indicators. Nature Publishing Group UK 2022-12-14 /pmc/articles/PMC9751269/ /pubmed/36517507 http://dx.doi.org/10.1038/s41597-022-01869-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Lundsør, Elisabeth
Lømsland, Evy Rigmor
Johnsen, Torbjørn Martin
Engesmo, Anette
King, Andrew Luke
Staalstrøm, Andrè
Norli, Marit
Magnusson, Jan
Sørensen, Kai
Edvardsen, Bente
Eikrem, Wenche
Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
title Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
title_full Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
title_fullStr Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
title_full_unstemmed Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
title_short Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
title_sort marine phytoplankton community data and corresponding environmental properties from eastern norway, 1896–2020
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751269/
https://www.ncbi.nlm.nih.gov/pubmed/36517507
http://dx.doi.org/10.1038/s41597-022-01869-3
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