Evidence map›Paper›PMID 38168085›Full record

ArticleScientific data2024

A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea.

Meike A C Latz, Agneta Andersson, Sonia Brugel, Mikael Hedblom, Krzysztof T Jurdzinski, Bengt Karlson, Markus Lindh, Jenny Lycken, Anders Torstensson, Anders F Andersson

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Meike A C LatzKTH Royal Institute of Technology, Department of Gene Technology, Science for Life Laboratory, Stockholm, Sweden. meike.latz@scilifelab.se.ORCID 0000-0002-6583-9291
Agneta AnderssonUmeå University, Department of Ecology and Environmental Sciences, Umeå, Sweden.
Sonia BrugelUmeå University, Department of Ecology and Environmental Sciences, Umeå, Sweden.
Mikael HedblomSwedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden.
Krzysztof T JurdzinskiKTH Royal Institute of Technology, Department of Gene Technology, Science for Life Laboratory, Stockholm, Sweden.ORCID 0000-0001-9544-5755
Bengt KarlsonSwedish Meteorological and Hydrological Institute, Oceanographic Research, Västra Frölunda, Sweden.
Markus LindhSwedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden.
Jenny LyckenSwedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden.
Anders TorstenssonSwedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden.ORCID 0000-0002-8283-656X
Anders F AnderssonKTH Royal Institute of Technology, Department of Gene Technology, Science for Life Laboratory, Stockholm, Sweden. anders.andersson@scilifelab.se.ORCID 0000-0002-3627-6899

Funding

Naturvårdsverket (Swedish Environmental Protection Agency) NV-03728-17Villum Fonden (Villum Foundation) 34442
6 · The paper itself

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.

Indexed as

MicrobiotaPlanktonBaltic StatesBiodiversitySeawater

Identifiers

PMID38168085
PMCPMC10761891

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.