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Data_PS_1

Mendeley Data 2026
金哲 陈

Summary

This dataset supports research into a new method that combines a scanning technology (2T2D spectroscopy) with computer analysis (deep learning) to detect and measure microplastics hidden in soil. This matters because microplastics in soil can end up in the food we grow and eat, and having a faster, more accurate way to spot them could help scientists track contamination before it reaches our dinner table. Note: this specific entry is just the underlying data, not a full study with health conclusions—it's a building block for future microplastics 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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