Experimental Dataset of Index Gases during Coal Spontaneous Combustion across Different Ranks (Reconstructed via Literature Mining)

This dataset is designed to provide high-quality reference data for coal spontaneous combustion (CSC) prediction models. The data covers coal samples ranging from lignite to anthracite, encompassing core indicator gas concentration data generated during temperature-programmed oxidation (TPO) experiments. The dataset has been compiled by digitally extracting and standardising raw experimental curves and tables from numerous high-quality academic papers and theses. Specific references are as follows:Academic Papers:1. Guo, J., et al. (2019). ‘Data on analysis of temperature inversion during spontaneous combustion of coal.’ Data in Brief. (Primarily contributed TPO data for long-flamed coal, lignite and anthracite)Theses:1. Li Yiman (2023). ‘A Study on Time Series Prediction of Multi-Indicator Coal Spontaneous Combustion in Abandoned Mine Areas’, North China University of Science and Technology.2. Chen Guodong (2023). ‘A Study on the Heat Generation Patterns During the Low-Temperature Oxidation Process of Sun Tun 1/3 Coking Coal’, Anhui University of Science and Technology.Tao Huahuan (2023). ‘A Study on the Early Warning System for Spontaneous Combustion of Lignite in the Zhalainuoer Mining Area’, Liaoning University of Technology.3. Wang Ya (2017). ‘An Experimental Study on the Correlation of Gases Indicating Coal Spontaneous Combustion’, Taiyuan University of Technology.4. Qu Lina (2013). ‘A Study on the Characteristics of Coal Spontaneous Combustion Stages and the Variation Laws of Their Critical Points’, China University of Mining and Technology (Beijing).