Evidence map›Paper›PMID 38388536›Full record

ArticleScientific data2024

Sea water temperature and light intensity at high-Arctic subtidal shallows - 16 years perspective.

Bernabé Moreno, Anna Sowa, Kamil Reginia, Piotr Balazy, Maciej Chelchowski, Marta Ronowicz, Piotr Kuklinski

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Bernabé MorenoMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland. bmoreno@iopan.pl.ORCID http://orcid.org/0000-0002-9751-6307
Anna SowaMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland.ORCID http://orcid.org/0000-0001-7123-6529
Kamil ReginiaMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland.
Piotr BalazyMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland.ORCID http://orcid.org/0000-0002-1126-3151
Maciej ChelchowskiMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland.
Marta RonowiczMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland.
Piotr KuklinskiMarine Ecology Department, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland. kuki@iopan.pl.

Funding

Narodowe Centrum Nauki (National Science Centre) OPUS 17 no.2019/33/B/NZ8/02154Narodowe Centrum Nauki (National Science Centre) OPUS 19 no.2020/37/B/ST10/02905Narodowe Centrum Nauki (National Science Centre) PRELUDIUM BIS 2 no.2020/39/O/NZ8/00376
6 · The paper itself

Abstract

Manifestations of climate change in the Arctic include an increase in water temperatures and massive loss of sea ice enabling more light penetration. Yet to understand tempo and scale of these parameters change over time, constant monitoring is needed. We present 16-yr long-term datasets of sea water temperature and relative light intensity at two depth strata (8 and 14 ± 1 m) of two hard-bottom sites in southern Isfjorden proper (Spitsbergen, 78°N). The high temporal resolution of the datasets (every 30 min, between 2006-2022) makes them suitable for studying changes at a local scale, correlating environmental variability with observed processes in benthic assemblages, and serving as ground-truth for comparison with, for example, remotely sensed or mooring data. These datasets serve as baseline for long-term investigations in the shallows of a high-Arctic fjord undergoing severe environmental changes.

Identifiers

PMID38388536
PMCPMC10883912

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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.