A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea
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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.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 18 |
| Tidsskrift | Scientific Data |
| Vol/bind | 11 |
| Antal sider | 9 |
| ISSN | 2052-4463 |
| DOI | |
| Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:
We thank SMHI, Umeå Marine Sciences Centre and Stockholm University for providing data on physicochemical variables and phytoplankton microscopy, via the Swedish National Marine Monitoring Program. DNA sequencing was conducted by the Swedish National Genomics Infrastructure (NGI) in Stockholm. Computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) through the Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX). John Sundh at National Bioinformatics Infrastructure Sweden (NBIS) is acknowledged for developing the pipeline for primer removal and sequence quality trimming. This work was supported by the Swedish Agency for Marine and Water Management and the Swedish Environmental Protection Agency under the grant number NV-03728-17. MACL was additionally supported by a research grant (34442) from VILLUM FONDEN and AFA by a research grant (2021-05563) from the Swedish Research Council VR.
Funding Information:
We thank SMHI, Umeå Marine Sciences Centre and Stockholm University for providing data on physicochemical variables and phytoplankton microscopy, via the Swedish National Marine Monitoring Program. DNA sequencing was conducted by the Swedish National Genomics Infrastructure (NGI) in Stockholm. Computations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) through the Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX). John Sundh at National Bioinformatics Infrastructure Sweden (NBIS) is acknowledged for developing the pipeline for primer removal and sequence quality trimming. This work was supported by the Swedish Agency for Marine and Water Management and the Swedish Environmental Protection Agency under the grant number NV-03728-17. MACL was additionally supported by a research grant (34442) from VILLUM FONDEN and AFA by a research grant (2021-05563) from the Swedish Research Council VR.
Publisher Copyright:
© 2024, The Author(s).
ID: 380415069