Temporal Dataset of Emerging and Legacy PFAS Concentrations (ng/L) in 11 Inland Watersheds (Lakes, Rivers, Islands) Over Multiple Time Periods
收藏NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/zs77m26gb2
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This dataset presents a comprehensive compilation of per- and polyfluoroalkyl substances (PFAS) concentration data (ng/L), a group of persistent environmental contaminants detected across diverse ecosystems, gathered from multiple freshwater environments with a focus on distinguishing emerging and legacy compounds. The aim of this project was to systematically collect, organize, and differentiate PFAS concentration data from published literature to support future research, environmental monitoring, and policy development.
The freshwater dataset covers PFAS concentrations from 11 inland watersheds, including lakes, rivers, and islands. Key water bodies featured include the Cape Fear River, Lake Ontario, Rhine River, Okinawa Island, Livingstone Island, Longyearbyen, Lake Victoria, Jiulong River, Ganga River, the Faroe Islands, and the Greater Melbourne Area. By compiling PFAS data from both marine and freshwater systems across different time periods, this dataset provides a clearer picture of global PFAS distribution patterns. The distinction between emerging PFAS (such as GenX and other replacement compounds) and legacy PFAS (such as PFOA, PFOS) is explicitly defined and consistently maintained.
The data were extracted from peer-reviewed studies, technical reports, and environmental monitoring programs. Each data point is accompanied by information on the location, PFAS classification, and, where available, the sampling year(s). This structured dataset enables users to explore spatial and temporal PFAS trends and supports comparative analysis across diverse aquatic environments. By clearly distinguishing emerging and legacy compounds and presenting their concentration patterns over time, this dataset serves as a valuable foundation for ecological risk assessment, pollution management, and scientific research.
创建时间:
2026-03-12



