Work

Machine learning-enabled characterization of coal thermal dissolution products by FTIR and mass spectrometry with ionization bias calibration

Year: 2026

Type: dataset

Abstract: This dataset contains all raw and processed data used to build the machine‑learning model for coal thermal‑dissolution products analysis. The dataset includes the total dataset, training set and test set for model construction. The molecular information was obtained from Orbitrap mass spectrometry measurement. It can be used for the investigation of molecular classification and heteroatom distribution of coal thermal dissolution products.

Source: Figshare

DOI: 10.6084/m9.figshare.34097226

Authors: Xiao-Yan Wang, Xing Fan, Zhong-Qiu Liu, Ya-Ya Ma, Zhen-Yu Gao, Ran-Ran Hou, Chao Feng, Jiang Liu, Normurot I. Fayzullaev, Peng Liang

Language: English

Topic: Coal and Coke Industries Research

Subfield: Fuel Technology

Field: Energy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7220991502

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