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Data_PET_3_4

Mendeley Data 2026
金哲 陈

Summary

This dataset supports research into a new method that combines a scanning technique with artificial intelligence to detect and measure tiny plastic particles (microplastics) hidden in soil. This matters because microplastics in soil can end up in the food we grow and eventually in our bodies, so having faster, more reliable ways to spot them is an important step toward understanding and reducing our exposure. Note that this particular entry is the raw data itself, not a study with health findings—it's the foundation other researchers can use to build and test detection tools.

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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