ArticleScientific data2025
Dynamics of an estuarine biotic community captured in high spatio-temporal resolution using metabarcoding.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Enhancing the understanding of environmental microbiomes through topic modeling: a quantitative and qualitative analysis.Environmental microbiome · 2026Article
- Bacterial community adaptation after brackish and freshwater coalescence.ISME communications · 2026Article
- Dynamics of an estuarine biotic community captured in high spatio-temporal resolution using metabarcoding.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estuaries and coasts are dynamic transition zones linking freshwater and marine environments and are characterized by sharp physicochemical gradients. These regions support key ecosystem functions but are challenging to study due to their spatial and temporal variability. Here we present a dataset characterizing microbial community composition and environmental parameters across the Warnow River estuary and adjacent Baltic Sea coast in unprecedented spatio-temporal resolution. Over the course of a year, we sampled fifteen sites along a ~30 km transect up to twice per week, generating 16S and 18S rRNA amplicon sequencing data, flow cytometry profiles, and measurements of temperature, salinity, chlorophyll a, nitrate, nitrite, ammonium and phosphate concentrations. Spanning the salinity gradient from freshwater to brackish environments, this dataset resolves short-term dynamics and fine-scale spatial variation in microbial communities within a human-impacted temperate estuary. It enables the investigation of microbial dynamics, community turnover, and biogeochemical responses to environmental change, offering a valuable resource for modeling microbial processes in complex, human-impacted aquatic systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.