Global mercury dataset with predicted methylmercury concentrations in seafoods during 1995–2022

Mercury exposure poses significant threats to human health, particularly in its organic form, methylmercury (MeHg). Diet is the main pathway for human MeHg exposure, especially through seafood consumption. In this context, numerous studies have established seafood MeHg concentration datasets to assess MeHg-related health risks from seafood consumption. However, existing datasets are limited to specific regions and short-term observations, making it difficult to support continuous and dynamic assessments of global MeHg-related health risks. This study takes a bottom-up approach to construct a global seafood MeHg concentration dataset during 1995-2022. Firstly, it compiles a long-term time series marine-scale dataset of seafood MeHg concentrations, based on the reported seafood mercury concentrations from existing literature and machine learning methods. Subsequently, this study used the seafood catch volumes of each nation in different marine areas as weights to estimate the national-scale seafood MeHg concentrations. This dataset can provide essential data support for environmental impact assessment of mercury and its compounds as mentioned in Articles 12 and 19 of the Minamata Convention on Mercury.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-02-11
DOI
https://doi.org/10.1038/s41597-025-04570-3
Citations
7
Primary Topic
Mercury impact and mitigation studies
Type
article
Field-Weighted Citation Impact
8.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global mercury dataset with predicted methylmercury concentrations in seafoods during 1995–2022

Xiaohui Wu, Sai Liang, Haifeng Zhou, Qiumeng Zhong et al.
7 citations
Scientific Data
Mercury impact and mitigation studies
8.40
article

Global mercury dataset with predicted methylmercury concentrations in seafoods during 1995–2022

Xiaohui Wu, Sai Liang, Haifeng Zhou, Qiumeng Zhong, Yumeng Li
article en
7 citations

Abstract

Mercury exposure poses significant threats to human health, particularly in its organic form, methylmercury (MeHg). Diet is the main pathway for human MeHg exposure, especially through seafood consumption. In this context, numerous studies have established seafood MeHg concentration datasets to assess MeHg-related health risks from seafood consumption. However, existing datasets are limited to specific regions and short-term observations, making it difficult to support continuous and dynamic assessments of global MeHg-related health risks. This study takes a bottom-up approach to construct a global seafood MeHg concentration dataset during 1995-2022. Firstly, it compiles a long-term time series marine-scale dataset of seafood MeHg concentrations, based on the reported seafood mercury concentrations from existing literature and machine learning methods. Subsequently, this study used the seafood catch volumes of each nation in different marine areas as weights to estimate the national-scale seafood MeHg concentrations. This dataset can provide essential data support for environmental impact assessment of mercury and its compounds as mentioned in Articles 12 and 19 of the Minamata Convention on Mercury.

Scientific DataVol. 12(1)
Guangdong University of Technology (CN), Beijing Normal University (CN), Ministry of Education (BN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 2%
Mercury impact and mitigation studies
8.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.