Evidence map›Paper›PMID 41028740›Full record

ArticleScientific data2025

An Arctic Ocean Thermohaline Dataset.

Jinlong Li, Xiangyu Wu, Xidong Wang

Abstract read
In one paragraph

Article in Scientific data, 2025. 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.

Jinlong LiKey Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing, 210000, China.
Xiangyu WuNational Marine Environmental Forecasting Center, Ministry of Natural Resources, Beijing, 100000, China. wxy@nmefc.cn.
Xidong WangKey Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Hohai University, Nanjing, 210000, China. xidong_wang@hhu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using in situ observational data is an important way to study the Arctic environment. However, due to the high-latitude seasonal variation, in situ observations in this region are relatively sparse. To maximize the use of in situ observations, we assemble an Arctic Ocean thermohaline dataset (AOTD) including 414221 available temperature and salinity profiles for the period 1983-2023, with observations from the Chinese Arctic Research Expedition and public data from other databases and observations plans such as the International Polar Year. Also, a unified quality control method is discussed, and strict quality control is applied to these profiles. A gridded dataset of climatological monthly mean temperature, salinity, and Ocean Heat Content derived from an objective analysis of profiles is also presented. The climatology has a horizontal resolution of 0.25° × 0.25°, with 57 vertical layers spanning the 0-1500 m depth range, can help us better understand the Arctic Ocean. AOTD climatology offers importance for the research on thermodynamic processes, spatial and temporal variability of water masses, and oceanic structures in the Arctic Ocean.

Identifiers

PMID41028740
PMCPMC12484775

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Registered trials

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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.