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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9751269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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