Evidence map›Paper›PMID 40881328›Full record

ArticleCambridge prisms. Coastal futures2024

Quantifying seasonal to multi-decadal signals in coastal water quality using high- and low-frequency time series data.

Emma I Brahmey, Karen J McGlathery, Scott C Doney

Abstract read
In one paragraph

Article in Cambridge prisms. Coastal futures, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Emma I BrahmeyDepartment of Environmental Sciences, University of Virginia, Charlottesville, VA, USA.
Karen J McGlatheryDepartment of Environmental Sciences, University of Virginia, Charlottesville, VA, USA.
Scott C DoneyDepartment of Environmental Sciences, University of Virginia, Charlottesville, VA, USA.ORCID https://orcid.org/0000-0002-3683-2437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To inform water quality monitoring techniques and modeling at coastal research sites, this study investigated seasonality and trends in coastal lagoons on the eastern shore of Virginia, USA. Seasonality was quantified with harmonic analysis of low-frequency time-series, approximately 30 years of quarterly sampled data at thirteen mainland, lagoon, and ocean inlet sites, along with 4-6 years of high-frequency, 15-min resolution sonde data at two mainland sites. Temperature, dissolved oxygen, and apparent oxygen utilization (AOU) seasonality were dominated by annual harmonics, while salinity and chlorophyll-

Indexed as

biogeochemistryecosystemmarineoceanphenology

Identifiers

PMID40881328
PMCPMC12337606

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.