Dataset and code supplement: Mapping gasification technologies and feedstocks with a dual validated large-scale literature-derived dataset

DATASET MIGRATED FROM FIGSHARE: <p dir="ltr">The data collection was conducted on 23 October 2025 as part of a large-scale bibliometric and text-mining workflow.</p><p dir="ltr">The dataset imposes no temporal limitation on publication year. It includes research articles published between 1954 and 2025, covering 6,590 peer-reviewed papers related to gasification technologies and their corresponding feedstocks.</p><p dir="ltr">This broad temporal range enables longitudinal analysis of technological evolution, feedstock diversification, and research trends across seven decades of gasification research.</p><p dir="ltr">This dataset provides a comprehensive, literature-derived mapping of gasification technologies and feedstocks, compiled through large-scale text mining, full-text parsing, and dual validation processes.</p><p dir="ltr">It integrates metadata and extracted variables from 6,590 peer-reviewed publications (1954–2025) indexed in the Scopus database. The dataset captures detailed information on feedstock types, technological pathways, and contextual descriptors relevant to gasification and reforming processes.</p><p dir="ltr">Each record includes:</p><p dir="ltr">Publication metadata (title, DOI, abstract, year)</p><p dir="ltr">Extracted feedstock terms and technology references</p><p dir="ltr">Validation fields from both rule-based NLP and AI-based (GPT-4o-mini) methods</p><p dir="ltr">Quality control flags for presence, usage, and contextual accuracy</p><p dir="ltr">The dataset thus represents a dual-validated, large-scale resource enabling quantitative and qualitative analyses of trends, correlations, and technological evolution in gasification research.</p><p><br></p><p><br></p>