{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T11:02:52Z","timestamp":1776769372419,"version":"3.51.2"},"reference-count":34,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T00:00:00Z","timestamp":1764806400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["52304169"],"award-info":[{"award-number":["52304169"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the CCTEG Technology Innovation and Entrepreneurship Fund","award":["2024-TD-ZD014"],"award-info":[{"award-number":["2024-TD-ZD014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Mine accidents pose severe threats to worker safety and sustainable mining development in China. However, existing mine accident data in China are often scattered, unstructured, and lack systematic integration, which limits their application in safety research and practice. This study constructed a standardized structured dataset using 532 mine accident reports from official channels covering the period 2010\u20132025. The dataset went through four stages: data collection, standardized cleaning, structured annotation, and quality validation. It is stored in JSON Lines (JSONL) format for easy reuse. The dataset covers 27 provinces\/autonomous regions\/municipalities in China. Among accident levels, general accidents account for 65.6%; among accident types, roof accidents account for 20.3%. Accidents are geographically concentrated, with 11.7%, 8.3%, and 7.7% occurring in Shanxi, Gansu, and Inner Mongolia, respectively. Official data have shown an annual average decrease of 9.7% in mine accidents from 2018 to 2022, reflecting improved safety governance. This dataset addresses the gap of a full-element structured mine accident database in China, providing high-quality data for accident causation modeling, regional risk early warning, and safety policy evaluation. It also supports mine enterprises in targeted risk prevention and regulatory authorities in precise regulatory enforcement.<\/jats:p>","DOI":"10.3390\/data10120202","type":"journal-article","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T13:53:30Z","timestamp":1764856410000},"page":"202","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["China\u2019s 15-Year Mine Accident Report Dataset (2010\u20132025): Construction and Analysis"],"prefix":"10.3390","volume":"10","author":[{"given":"Maoquan","family":"Wan","sequence":"first","affiliation":[{"name":"Research Institute of Mine Software, Chinese Institute of Coal Science, Beijing 100013, China"},{"name":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of Mine Software, Chinese Institute of Coal Science, Beijing 100013, China"},{"name":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2743-5552","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China"},{"name":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanjun","family":"Gong","sequence":"additional","affiliation":[{"name":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China"},{"name":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3280-4762","authenticated-orcid":false,"given":"Jie","family":"Hou","sequence":"additional","affiliation":[{"name":"School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"112312","DOI":"10.1016\/j.enpol.2021.112312","article-title":"Energy and Carbon Performance Improvement in China\u2019s Mining Industry:Evidence from the 11th and 12th Five-Year Plan","volume":"154","author":"Zhu","year":"2021","journal-title":"Energy Policy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"36269","DOI":"10.1021\/acsomega.3c04819","article-title":"Diffusion Characteristics of Airflow and CO in the Dead-End Tunnel with Different Ventilation Parameters after Tunneling Blasting","volume":"8","author":"Wang","year":"2023","journal-title":"ACS Omega"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1016\/j.psep.2023.04.031","article-title":"Strengthening Mechanism of Granulated Blast-Furnace Slag on the Uniaxial Compressive Strength of Modified Magnesium Slag-Based Cemented Backfilling Material","volume":"174","author":"Zhu","year":"2023","journal-title":"Process Saf. Environ. Prot."},{"key":"ref_4","first-page":"2316","article-title":"Characteristics and Trends of Coal Mine Safety Development","volume":"47","author":"Li","year":"2025","journal-title":"Energy Sources Part A Recovery Util. Environ. Eff."},{"key":"ref_5","first-page":"253","article-title":"Multidimensional Analysis of Coal Mine Safety Accidents in China\u201470 Years Review","volume":"40","author":"Wu","year":"2023","journal-title":"Min. Metall. Explor."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"102250","DOI":"10.1016\/j.resourpol.2021.102250","article-title":"Influencing Factors on Safety Culture in Mining Industry: A Systematic Literature Review Approach","volume":"74","author":"Ismail","year":"2021","journal-title":"Resour. Policy"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"102295","DOI":"10.1016\/j.resourpol.2021.102295","article-title":"Analysis of Artisanal and Small-Scale Gold Mining Accidents and Fatalities in Ghana","volume":"74","author":"Stemn","year":"2021","journal-title":"Resour. Policy"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"117991","DOI":"10.1016\/j.eswa.2022.117991","article-title":"Using Text Mining to Establish Knowledge Graph from Accident\/Incident Reports in Risk Assessment","volume":"207","author":"Liu","year":"2022","journal-title":"Expert Syst. Appl."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"105438","DOI":"10.1016\/j.ssci.2021.105438","article-title":"Research Trends in Mining Accidents Study: A Systematic Literature Review","volume":"143","author":"Ramli","year":"2021","journal-title":"Saf. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Huang, X., Li, W., and Wang, C. (2022). Analysis of China\u2019s Coal Resource Safety and Enterprise Performance, Atlantis Press.","DOI":"10.2991\/978-94-6463-102-9_45"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Meng, F. (2021). Safety Warning Model of Coal Face Based on FCM Fuzzy Clustering and GA-BP Neural Network. Symmetry, 13.","DOI":"10.3390\/sym13061082"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Gilje, E.P., and Wittry, M.D. (2021). Is Public Equity Deadly? Evidence from Workplace Safety and Productivity Tradeoffs in the Coal Industry. NBER Work. Pap., 28798.","DOI":"10.3386\/w28798"},{"key":"ref_13","unstructured":"Mine Safety and Health Administration (MSHA) (2025, November 23). 30 CFR Part 50\u2014Notification, Investigation, Reports and Records of Accidents, Injuries, Illnesses, Employment, and Coal Production in Mines, Available online: https:\/\/www.ecfr.gov\/current\/title-30\/part-50."},{"key":"ref_14","unstructured":"(2025, November 23). Regulation (EU) 2023\/988 of the European Parliament and of the Council of 10 May 2023 on general product safety. Available online: https:\/\/eur-lex.europa.eu\/eli\/reg\/2023\/988\/oj."},{"key":"ref_15","unstructured":"(2025, November 23). IEC 80601-2-30:2018. Available online: https:\/\/www.iso.org\/standard\/70653.html."},{"key":"ref_16","unstructured":"Leveson, N., Dulac, N., Zipkin, D., Cutcher-Gershenfeld, J., Carroll, J., and Barrett, B. (2006). Engineering Resilience into Safety-Critical Systems. Resilience Engineering, CRC Press."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Tong, B., Liu, H., Zhu, J., Wang, Y., Mei, T., and Kou, M. (2025). Exploring Safety Research Progress and Prospects for the Sustainable Development of Resilient Cities. Buildings, 15.","DOI":"10.3390\/buildings15030505"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Park, J., and Kang, D. (2024). Artificial Intelligence and Smart Technologies in Safety Management: A Comprehensive Analysis Across Multiple Industries. Appl. Sci., 14.","DOI":"10.3390\/app142411934"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"107530","DOI":"10.1016\/j.ress.2021.107530","article-title":"Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities","volume":"211","author":"Xu","year":"2021","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Li, H., Zhang, Y., and Yang, W. (2023). Gas Explosion Early Warning Method in Coal Mines by Intelligent Mining System and Multivariate Data Analysis. PLoS ONE, 18.","DOI":"10.1371\/journal.pone.0293814"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.psep.2021.07.032","article-title":"Construction and Analysis of a Coal Mine Accident Causation Network Based on Text Mining","volume":"153","author":"Qiu","year":"2021","journal-title":"Process Saf. Environ. Prot."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Leveson, N.G. (2012). Engineering a Safer World: Systems Thinking Applied to Safety, The MIT Press.","DOI":"10.7551\/mitpress\/8179.001.0001"},{"key":"ref_23","unstructured":"Hollnagel, E. (2017). FRAM: The Functional Resonance Analysis Method: Modelling Complex Socio-Technical Systems, CRC Press."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.autcon.2015.11.001","article-title":"Automated Content Analysis for Construction Safety: A Natural Language Processing System to Extract Precursors and Outcomes from Unstructured Injury Reports","volume":"62","author":"Tixier","year":"2016","journal-title":"Autom. Constr."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1900","DOI":"10.1007\/s11771-023-5350-4","article-title":"Safe and Intelligent Mining: Some Explorations and Challenges in the Era of Big Data","volume":"30","author":"Dong","year":"2023","journal-title":"J. Cent. South Univ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"249","DOI":"10.2166\/hydro.2021.154","article-title":"Multi-Source Data Fusion Method for Structural Safety Assessment of Water Diversion Structures","volume":"23","author":"Zhang","year":"2021","journal-title":"J. Hydroinformatics"},{"key":"ref_27","unstructured":"You, P., and Zheng, Y. (2024, January 16\u201317). AugMine: Boosting Coal Mine Accident News Classification with Text Data Augmentation. Proceedings of the International Conference on Image, Vision and Intelligent Systems 2024 (ICIVIS 2024), Xining, China."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Gao, F., Zhang, L., Wang, W., Zhang, B., Liu, W., Zhang, J., and Xie, L. (2024). Named Entity Recognition for Equipment Fault Diagnosis Based on RoBERTa-Wwm-Ext and Deep Learning Integration. Electronics, 13.","DOI":"10.3390\/electronics13193935"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1162\/coli.07-034-R2","article-title":"Inter-Coder Agreement for Computational Linguistics","volume":"34","author":"Artstein","year":"2008","journal-title":"Comput. Linguist."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1197\/jamia.M1733","article-title":"Agreement, the F-Measure, and Reliability in Information Retrieval","volume":"12","author":"Hripcsak","year":"2005","journal-title":"J. Am. Med. Inf. Assoc."},{"key":"ref_31","unstructured":"Lundberg, S.M., and Lee, S.-I. (2017). A Unified Approach to Interpreting Model Predictions. Proceedings of the Advances in Neural Information Processing Systems, Curran Associates, Inc."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Chen, T., and Guestrin, C. (2016, January 13\u201317). XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/2939672.2939785"},{"key":"ref_33","first-page":"25","article-title":"International Comparisons of the Sources of Economic Growth","volume":"86","author":"Dougherty","year":"1996","journal-title":"Am. Econ. Rev."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"648","DOI":"10.2307\/1924810","article-title":"Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs","volume":"67","author":"Ashenfelter","year":"1985","journal-title":"Rev. Econ. Stat."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/12\/202\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T05:22:41Z","timestamp":1764998561000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/12\/202"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,4]]},"references-count":34,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["data10120202"],"URL":"https:\/\/doi.org\/10.3390\/data10120202","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,4]]}}}