TRAILGENDER v4 — Gender Disparities in Ultra-Trail Running: A Multi-Source Dataset (2010–2021)

Harmonised dataset on gender disparities in trail running, integrating two data flows from three open-access datasets: the TRAP flow (Kaggle Big Dataset of Ultra-Marathon Running + TRAP-data from GitHub) and the BJN flow (BjnNowak 100-Miles ITRA from Kaggle). Contains 1,081,544 individual performances across 15,848 race editions (2010-2021), 10,254 course clusters in 95 countries. Includes gender performance gaps, temporal series, country-level aggregates (74 countries), athlete demographics, four sensitivity analyses, and a derived Gender Selection Index (ISG). Designed for reproducible research in sport sociology, gender studies, and data science.