Reproducibility package: hydrochemistry-based pretreatment selection and PV sizing for solar-powered brackish-water reverse osmosis in the Aral Sea region

Input data, computation scripts and derived figures that reproduce every numerical result of the associated article on solar-powered brackish-water reverse osmosis (PV-BWRO) for the Aral Sea region. Contents:- Major-ion compositions of four characteristic feed-water classes of the lower Amu Darya basin, Karakalpakstan, Uzbekistan: the Amu Darya river (AMU, 962 mg/L TDS), the Kegeyli canal (KEG, 1211 mg/L), the KS-3 drainage collector (KS-3, 4320 mg/L) and Lake Sudochye (SUD, 6200 mg/L).- The fouling-and-scaling risk index (FSRI): its five normalised components, the composite scores (0.32, 0.42, 0.78, 0.83) and the complete single-weight sensitivity scan at plus/minus 0.05 and plus/minus 0.10.- Stoichiometric and Davies activity-corrected gypsum saturation indices and concentrate ionic strengths at water recoveries of 0.5, 0.6 and 0.7.- The membrane-to-bus energy reconciliation and PV-array sizing against an 8760-hour PVGIS-SARAH3 typical meteorological year for Nukus (42.462 N, 59.607 E, base period 2005-2023).- A bottom-up levelized-cost-of-water model returning 1.25, 1.42, 2.62 and 2.96 USD per cubic metre for the four classes. The package contains 15 self-contained Python scripts (numpy, matplotlib, openpyxl), the four data files they read, and the figures they generate. Running the scripts from inside the folder regenerates every numerical figure and table of the article. The bundled PVGIS-SARAH3 record is third-party data from the Photovoltaic Geographical Information System of the European Commission Joint Research Centre, redistributed unmodified for reproducibility.