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A comprehensive dat...
A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea
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- Latz, Meike (author)
- KTH,Science for Life Laboratory, SciLifeLab,Genteknologi,University of Copenhagen, Department of Plant and Environmental Sciences, Frederiksberg C, Denmark
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- Andersson, Agneta (author)
- Umeå universitet,Institutionen för ekologi, miljö och geovetenskap,Umeå marina forskningscentrum (UMF),EcoChange; UMFpub,Umeå University, Department of Ecology and Environmental Sciences, Umeå, Sweden; Umeå Marine Sciences Centre, Umeå University, SE-905 71, Hörnefors, Sweden
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- Brugel, Sonia (author)
- Umeå universitet,Institutionen för ekologi, miljö och geovetenskap,Umeå marina forskningscentrum (UMF),Umeå University, Department of Ecology and Environmental Sciences, Umeå, Sweden; Umeå Marine Sciences Centre, Umeå University, SE-905 71, Hörnefors, Sweden
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- Hedblom, Mikael (author)
- Swedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden
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- Jurdzinski, Krzysztof T. (author)
- KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
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- Karlson, Bengt (author)
- Swedish Meteorological and Hydrological Institute, Oceanographic Research, Västra Frölunda, Sweden
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- Lindh, Markus (author)
- Swedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden
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- Lycken, Jenny (author)
- Swedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden
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- Torstensson, Anders (author)
- Swedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden
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- Andersson, Anders F. (author)
- KTH,Science for Life Laboratory, SciLifeLab,Genteknologi
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(creator_code:org_t)
- Springer Nature, 2024
- 2024
- English.
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In: Scientific Data. - : Springer Nature. - 2052-4463. ; 11:1
- Related links:
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https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Latz, Meike
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Andersson, Agnet ...
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Brugel, Sonia
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Hedblom, Mikael
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Jurdzinski, Krzy ...
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Karlson, Bengt
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Lindh, Markus
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Lycken, Jenny
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Torstensson, And ...
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Andersson, Ander ...
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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and Oceanography Hyd ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Ecology
- Articles in the publication
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Scientific Data
- By the university
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Umeå University
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Royal Institute of Technology