Data_PE_3_4

Published: 18 June 2026| Version 1 | DOI: 10.17632/2jf5gwrrg9.1
Contributor:
金哲

Description

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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Steps to reproduce

First, the infrared (IR) spectra of MPs mixtures were acquired using a Fourier transform infrared spectrometer. Then, the IR spectra were subjected to data augmentation, baseline correction, Savitzky-Golay filtering, standard normal variate and multiplicative scatter correction processing. Subsequently, they were transformed into 2T2D spectra (auto-synchronous, auto-asynchronous, sy-asynchronous, cross-synchronous and cross-asynchronous spectra). Finally, the combination of 2T2D spectroscopy and a deep residual shrinkage network embedded with channel attention and strip attention (DRSN-SpCA) was employed for the quantitative analysis of PE in soil.

Institutions

Categories

Infrared Spectroscopy, Two-Dimensional Correlation Spectroscopy

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