Evidence map›Paper›PMID 41461720›Full record

ArticleScientific reports2025

Satellites reveal widespread deoxygenation of large global reservoirs from 1984 to 2023.

Liangwei Liao, Xinge Cai

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Liangwei LiaoSchool of Earth, Atmosphere and Environment, Monash University, Clayton, VIC, 3800, Australia. llia0029@student.monash.edu.
Xinge CaiYellow River Water Conservancy Commission Midstream Hydrology and Water Resources Bureau, Jinzhong, 030600, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dissolved oxygen (DO) in reservoirs regulate biodiversity, nutrient biogeochemistry, water quality, and greenhouse gas emissions. Maintaining healthy DO levels is essential for achieving United Nations Sustainable Development Goals (SDGs), particularly SDG 6 (Clean Water and Sanitation) and SDG 14 (Life Below Water). However, our full understanding of long-term DO dynamics of global reservoirs remains unknown, due to limited observations. Here, we develop a satellite-based machine learning model to reveal DO dynamics of major reservoirs (area > 100 km

Indexed as

Dissolved oxygenMachine learningRemote sensingReservoirs, global scale

Identifiers

PMID41461720
PMCPMC12748696

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.