Reproducibility package for "Explainable machine learning and uncertainty-aware e-waste assessment in Iraq"

This record contains the frozen derived outputs, supplementary tables, quality-control reports, and archived analysis scripts supporting the manuscript “Explainable machine learning and uncertainty-aware e-waste assessment in Iraq: Resource recovery, economic value, and environmental implications.” The predictive layer models electrical and electronic equipment placed on the market (EEE POM) using a country-grouped design, while the physical-accounting layer is independently anchored to the official 267 kt of Iraqi e-waste generated in 2022. No scientific pipeline stage was re-run to create this public reproducibility package. The archive contains frozen derived analytical outputs, machine-readable supplementary tables, quality-control records, selected analysis scripts and configurations, and provenance information. Original third-party datasets from GESP/UNITAR-ITU, the World Bank, FutuRaM, and cited literature sources are not redistributed. Official source links and identifiers are provided in the provenance manifest included with the archive. Predicted EEE POM is not converted into same-year Iraqi e-waste. Resource and economic quantities are evidence-covered potentials; energy and greenhouse-gas quantities are sensitivity estimates; contained Pb represents an inventory quantity rather than an environmental release estimate.