Code and data for: Drivers and projections of the depression burden associated with ambient PM2.5 in 200 countries and territories, 1980-2040, under climate and air-quality scenarios: a global modelling study

Analysis code (Python), derived tables, figures and intermediate fields for a global modelling study of the burden of depression and anxiety associated with ambient PM2.5 in 200 countries and territories, by degree of urbanisation, 1980-2040: exposure history and CMIP6 pathways, a six-driver Shapley decomposition, the AerChemMIP climate penalty, Monte Carlo uncertainty, validation and bounded scenarios. Code under the MIT licence; data and figures under CC BY 4.0, except two tables that repeat WHO country values (CC BY-NC-SA 3.0 IGO; see README.md). Rerun instructions and inputs are listed in README.md.