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Data and R scripts for: Microplastic pollution in terrestrial soils — a global systematic review and meta-analysis of sources, ecological impacts, and remediation strategies (2000–2025)
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Researchers compiled the full data extraction workbook, PRISMA screening logs, risk-of-bias assessments, and R scripts underpinning a systematic review and meta-analysis of microplastic pollution in terrestrial soils, drawing on 240 studies spanning 2000–2025 to characterize sources, ecological impacts, and remediation strategies.
This dataset contains the complete data extraction workbook (Excel), PRISMA screening log, risk of bias assessments, and R scripts supporting the systematic review and meta-analysis. The Excel workbook includes study characteristics (n=240 studies), effect-size data (n=152 meta-analysis studies), SYRCLE risk of bias ratings, and PRISMA 2020 screening records. R scripts use the metafor package (v4.6.0) in R v4.4.1.
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Data and R scripts for: Microplastic pollution in terrestrial soils — a global systematic review and meta-analysis of sources, ecological impacts, and remediation strategies (2000–2025)
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Researchers release the complete dataset and R scripts underpinning a systematic review and meta-analysis of microplastic pollution in terrestrial soils from 2000 to 2025, covering study characteristics, effect-size data, and risk-of-bias assessments drawn from 240 studies.
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