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Source data of Microplastic Polymer Hazard Is Associated with Soil Microbial Community Structure and Functional.
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This is a dataset description, not a study with findings. It includes soil, microplastic and microbial data collected from 50 farmland sites in Northeast China, covering microplastic types, soil chemistry, microbial gene measurements and related statistical analyses, to be made available in an online repository.
Raw datasets generated in this study include field survey data, microplastic characterization data, soil physicochemical properties, microbial biomarker measurements, high-throughput sequencing data, metagenomic gene annotation, qPCR quantification, and incubation experimental datasets. The field dataset covers 50 farmland sites across Northeast China black soil zone, containing geographic coordinates, soil carbon and nitrogen fractions, microplastic abundance, polymer composition, particle morphology, and calculated risk indices including PLI, PHI and MPERI. Laboratory measurement data comprise amino sugar biomarkers (glucosamine, galactosamine, mannosamine and muramic acid), EPS fractions, MDA, electrical conductivity, soil aggregate distribution, MWD and ATP content. Amplicon sequencing (16S rRNA and ITS) and shotgun metagenomic raw reads were obtained for all bulk soil samples. We also collected qPCR absolute gene abundance data for key functional genes involved in carbon, nitrogen, sulfur and phosphorus cycling. Random forest modelling outputs, co-occurrence network matrices, and statistical results of PERMANOVA, partial Mantel test and variance partitioning are included. All raw data, processed tables, R scripts and metadata will be deposited in the Zenodo repository upon acceptance of the manuscript.
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