A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea
Abstract The Baltic Sea is one of the largest brackish water environments on earth and is characterised by pronounced physicochemical gradients and seasonal dynamics. Although the Baltic Sea has a long history of microscopy-based plankton monitoring, DNA-based metabarcoding has so far mainly been li...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02825-5 |
| _version_ | 1797363666809520128 |
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| author | Meike A. C. Latz Agneta Andersson Sonia Brugel Mikael Hedblom Krzysztof T. Jurdzinski Bengt Karlson Markus Lindh Jenny Lycken Anders Torstensson Anders F. Andersson |
| author_facet | Meike A. C. Latz Agneta Andersson Sonia Brugel Mikael Hedblom Krzysztof T. Jurdzinski Bengt Karlson Markus Lindh Jenny Lycken Anders Torstensson Anders F. Andersson |
| author_sort | Meike A. C. Latz |
| collection | DOAJ |
| description | Abstract The Baltic Sea is one of the largest brackish water environments on earth and is characterised by pronounced physicochemical gradients and seasonal dynamics. Although the Baltic Sea has a long history of microscopy-based plankton monitoring, DNA-based metabarcoding has so far mainly been limited to individual transect cruises or time-series of single stations. Here we report a dataset covering spatiotemporal variation in prokaryotic and eukaryotic microbial communities and physicochemical parameters. Within 13-months between January 2019 and February 2020, 341 water samples were collected at 22 stations during monthly cruises along the salinity gradient. Both salinity and seasonality are strongly reflected in the data. Since the dataset was generated with both metabarcoding and microscopy-based methods, it provides unique opportunities for both technical and ecological analyses, and is a valuable biodiversity reference for future studies, in the prospect of climate change. |
| first_indexed | 2024-03-08T16:24:20Z |
| format | Article |
| id | doaj.art-76965d8168eb4a16b598a69a089fc7dc |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-08T16:24:20Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-76965d8168eb4a16b598a69a089fc7dc2024-01-07T12:10:25ZengNature PortfolioScientific Data2052-44632024-01-011111910.1038/s41597-023-02825-5A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic SeaMeike A. C. Latz0Agneta Andersson1Sonia Brugel2Mikael Hedblom3Krzysztof T. Jurdzinski4Bengt Karlson5Markus Lindh6Jenny Lycken7Anders Torstensson8Anders F. Andersson9KTH Royal Institute of Technology, Department of Gene Technology, Science for Life LaboratoryUmeå University, Department of Ecology and Environmental SciencesUmeå University, Department of Ecology and Environmental SciencesSwedish Meteorological and Hydrological Institute, Community Planning Services - OceanographyKTH Royal Institute of Technology, Department of Gene Technology, Science for Life LaboratorySwedish Meteorological and Hydrological Institute, Oceanographic ResearchSwedish Meteorological and Hydrological Institute, Community Planning Services - OceanographySwedish Meteorological and Hydrological Institute, Community Planning Services - OceanographySwedish Meteorological and Hydrological Institute, Community Planning Services - OceanographyKTH Royal Institute of Technology, Department of Gene Technology, Science for Life LaboratoryAbstract The Baltic Sea is one of the largest brackish water environments on earth and is characterised by pronounced physicochemical gradients and seasonal dynamics. Although the Baltic Sea has a long history of microscopy-based plankton monitoring, DNA-based metabarcoding has so far mainly been limited to individual transect cruises or time-series of single stations. Here we report a dataset covering spatiotemporal variation in prokaryotic and eukaryotic microbial communities and physicochemical parameters. Within 13-months between January 2019 and February 2020, 341 water samples were collected at 22 stations during monthly cruises along the salinity gradient. Both salinity and seasonality are strongly reflected in the data. Since the dataset was generated with both metabarcoding and microscopy-based methods, it provides unique opportunities for both technical and ecological analyses, and is a valuable biodiversity reference for future studies, in the prospect of climate change.https://doi.org/10.1038/s41597-023-02825-5 |
| spellingShingle | Meike A. C. Latz Agneta Andersson Sonia Brugel Mikael Hedblom Krzysztof T. Jurdzinski Bengt Karlson Markus Lindh Jenny Lycken Anders Torstensson Anders F. Andersson A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea Scientific Data |
| title | A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea |
| title_full | A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea |
| title_fullStr | A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea |
| title_full_unstemmed | A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea |
| title_short | A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea |
| title_sort | comprehensive dataset on spatiotemporal variation of microbial plankton communities in the baltic sea |
| url | https://doi.org/10.1038/s41597-023-02825-5 |
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