Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020
Abstract 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 w...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-022-01869-3 |
| _version_ | 1811199426363916288 |
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| author | Elisabeth Lundsør Evy Rigmor Lømsland Torbjørn Martin Johnsen Anette Engesmo Andrew Luke King Andrè Staalstrøm Marit Norli Jan Magnusson Kai Sørensen Bente Edvardsen Wenche Eikrem |
| author_facet | Elisabeth Lundsør Evy Rigmor Lømsland Torbjørn Martin Johnsen Anette Engesmo Andrew Luke King Andrè Staalstrøm Marit Norli Jan Magnusson Kai Sørensen Bente Edvardsen Wenche Eikrem |
| author_sort | Elisabeth Lundsør |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T01:47:55Z |
| format | Article |
| id | doaj.art-23eda0773a6b4b73aecd7059db03466d |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-12T01:47:55Z |
| publishDate | 2022-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-23eda0773a6b4b73aecd7059db03466d2022-12-22T03:53:01ZengNature PortfolioScientific Data2052-44632022-12-01911810.1038/s41597-022-01869-3Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020Elisabeth Lundsør0Evy Rigmor Lømsland1Torbjørn Martin Johnsen2Anette Engesmo3Andrew Luke King4Andrè Staalstrøm5Marit Norli6Jan Magnusson7Kai Sørensen8Bente Edvardsen9Wenche Eikrem10Department of Biosciences, University of OsloNorwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Norwegian Institute for Water Research (NIVA)Department of Biosciences, University of OsloNorwegian Institute for Water Research (NIVA)Abstract 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.https://doi.org/10.1038/s41597-022-01869-3 |
| spellingShingle | Elisabeth Lundsør Evy Rigmor Lømsland Torbjørn Martin Johnsen Anette Engesmo Andrew Luke King Andrè Staalstrøm Marit Norli Jan Magnusson Kai Sørensen Bente Edvardsen Wenche Eikrem Marine phytoplankton community data and corresponding environmental properties from eastern Norway, 1896–2020 Scientific Data |
| 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 |
| url | https://doi.org/10.1038/s41597-022-01869-3 |
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