ArticleScientific data2025
A global land daily 10-km-resolution surface ozone dataset from 2013-2022.
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 1 paper.
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
1 citing paper in PubMed.
- Differential association between ambient PMiScience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global ozone pollution has increased recently. Key aspects of global ozone pollution and its health assessment are not yet fully understood owing to the limited temporal resolution of existing datasets. In this study, a global surface ozone dataset was developed, providing 0.1° daily maximum 8-hour average surface ozone for 2013-2022. An efficient Light Gradient Boosting Machine model was constructed in this study to combine surface ozone observations, satellite products, atmospheric chemistry model simulations, meteorological reanalysis data, emission inventories, and other geographically distributed data. Importantly, this study implemented rigorous quality control for surface ozone observations from China and Europe, while also considering temporal and spatial features of the model inputs. The dataset yielded a spatial-based 10-fold cross-validation coefficient of determination (R
Identifiers
What Socratic 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 Socratic graph.