Data_PP_1

Published: 18 June 2026| Version 1 | DOI: 10.17632/jdtnfgd5v7.1
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.

Files

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 (including 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 PP in soil.

Institutions

Categories

Infrared Spectroscopy, Two-Dimensional Correlation Spectroscopy

Licence