0
Systematic Review ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 1 ? Systematic review or meta-analysis. Synthesizes findings across many studies. Strongest evidence. Sign in to save

Dataset and analysis code for a systematic review of microplastics across non-soil terrestrial systems

Mendeley Data 2026
Mahmudul Hasan Sikder

Summary

Researchers combed through 266 studies to map out what we actually know about microplastics in places other than soil, like air, dust, plants, and animals on land, separating real-world monitoring data from lab experiments. This isn't a study of new health effects, but rather an organized inventory of existing evidence, which matters because it reveals where research is solid versus where big gaps remain (including how much we understand about human exposure and risk). Think of it as a roadmap showing scientists, and the public, what's known and what still needs investigating before we can draw firm conclusions about microplastics' impact on our health.

Study Type Review

DATASET AND ANALYSIS OUTPUTS — microplastics non-soil terrestrial systematic review All files in this deposit are original research artifacts produced by the authors: MPs_extraction_dataset_273records.xlsx The curated data extracted from all screened reports (273 records). The master source for the analysis. MPs_reanalysis_266_v4_1.R The analysis script (R 4.3.3). Reads the analysis-ready dataset, applies the five documented reconciliation removals and two record-level corrections, and produces every tabulation in the /output_tables folder. MPs_reanalysis_266_v4_1_RUN_LOG.txt Console log, corpus counts, R version and package versions from the run. v4.1_output_tables/ (31 CSV files) Every table produced by the analysis script: publication year, geography, polymers, morphology, human evidence, research focus, method presence, reporting completeness and the per-record polymer/shape audits. The review synthesises 266 reports available to 22 May 2025, distinguishing environmental surveillance (n = 158) from experimental evidence (n = 108). All analyses use explicit multi-response denominators; no meta-analytic pooling was performed.

Share this paper