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Data_PP_1

Mendeley Data 2026
金哲 陈

Summary

This dataset supports research testing whether a scanning technology combined with computer-based pattern recognition can accurately detect and measure tiny plastic particles hidden in soil. This matters because microplastics in soil can work their way into crops and groundwater, and eventually into our food and water supply, so better detection tools help scientists track contamination before it reaches us. Note that this is a technical dataset rather than a study with health findings—it's laying the groundwork for future contamination research.

This dataset is a subset of the “2T2D spectroscopy and deep learning for soil MPs quantification” data, comprising 2T2D spectra of soil and microplastics (MPs) mixtures.

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