Evidence map›Paper›PMID 40781248›Full record

ArticleScientific data2025

Enhanced global oil spill dataset from 1967 to 2023 based on text-form incident information.

Yiming Liu, Zhuoli Yin, Hua Cai

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Yiming LiuSchool of Sustainability Engineering and Environmental Engineering, Purdue University, West Lafayette, Indiana, 47907, USA.ORCID http://orcid.org/0009-0001-7168-8530
Zhuoli YinEdwardson School of Industrial Engineering, Purdue University, West Lafayette, Indiana, 47907, USA.ORCID http://orcid.org/0000-0002-4575-7336
Hua CaiSchool of Sustainability Engineering and Environmental Engineering, Purdue University, West Lafayette, Indiana, 47907, USA. huacai@purdue.edu.

Funding

National Science Foundation (NSF) 1944284
6 · The paper itself

Abstract

Knowing how much oil was released into the environment in each incident is critical to studying the environmental, ecological, and economic impacts of oil spills. However, the release amounts (RAs) for numerous oil spill incidents remain unavailable in a structured format for large-scale analysis. The most extensive global oil spill database, managed by NOAA's Office of Response and Restoration, only documents the worst-case scenario estimations in the machine-readable dataset, while more accurate values are embedded within unstructured incident descriptions and subsequent updates. To enhance the dataset with more accurate RAs, we developed a framework to extract the actual RAs from textual data considering whether spillage was confirmed and the timeliness of the information. The enhanced dataset includes 3,550 oil spill incidents from 1967 to 2023, with their actual RAs confirmed or updated using the text-form information, improving the accuracy of global oil spill data. By supplementing the original potential maximum RAs with the actual RAs information, this dataset can support more accurate risk and environmental impacts assessment of oil spills.

Identifiers

PMID40781248
PMCPMC12334755

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.