Aluminum–Water Hydrolysis Hydrogen-Yield and Kinetics Dataset (provenance-tracked, leakage-aware), v1.0

A curated, provenance-tracked dataset of hydrogen production via aluminum–water hydrolysis, compiled from 31 published studies: 315 condition-level hydrogen-yield rows and 76 kinetic (activation-energy / rate) rows, each with full provenance and A/B/C quality tiers. Scope is aqueous Al–water hydrolysis (pure-Al/alkali, Al-alloy, mechanically activated, liquid-metal-activated, and waste-Al systems). The dataset is released to enable leakage-controlled, reproducible machine-learning analysis of the literature and accompanies the manuscript "Apparent Contradictions in the Aluminum–Water Hydrolysis Literature are Predominantly Methodological: a Provenance-Tracked, Leakage-Controlled Analysis" (submitted to Energy and AI). See data_dictionary.md for the 30-column schema and the absent=0 vs unreported=NaN convention.