Data and Code for: Feasibility-Bounded Diet Optimization for Policy: Co-Benefits, Country-Level Trade-Offs, and Binding Constraints across Ten Countries
收藏DataCite Commons2026-03-20 更新2026-05-04 收录
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https://data.mendeley.com/datasets/hwwd8w7hsd/3
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资源简介：
Analysis code and derived datasets for a feasibility-bounded diet optimization study across 10 countries (4.15 billion people). The package includes Python scripts and result tables for three phases: baseline dietary assessment, linear-programming optimization with ±50% intake-change bounds, and sensitivity/uncertainty analysis. Outcomes include DALYs averted and environmental impacts (GHG emissions, land use, freshwater withdrawals, eutrophication). Key findings include 38.8 million DALYs averted, strong country heterogeneity, and frequent feasibility-bound binding (83.3%). Regional FAO GLEAM v3.0 ruminant emission coefficients are included. Upstream raw datasets (GBD 2023, GDD 2018, FAO FBS) are not redistributed due to licensing; access instructions are provided in the README.
提供机构：
Mendeley Data
创建时间：
2026-03-20
