Input Data and Controlled-Scenario Outputs for the Gone Abat Jap Irrigation Allocation Model

This dataset contains cleaned input data and machine-readable outputs used to evaluate a graph-based two-stage fair irrigation water allocation model for the Gone Abat Jap canal network in Nukus District, Republic of Karakalpakstan, Uzbekistan. The network comprises 36 nodes, 35 directed canal edges, 20 terminal water-delivery points, and 20 anonymized terminal service blocks, analyzed over 16 active ten-day periods (periods 11–26). Input data are provided in JSON and Excel formats. The scenario output tables report the Stage 1 max–min fairness guarantee, final Stage 2 allocations, source utilization, canal-edge loadings, active bottlenecks, and unmet demand under controlled local-edge, source-limited, and mixed scarcity conditions. The dataset also includes baseline-comparison results and a one-factor-at-a-time sensitivity analysis. The sensitivity analysis evaluates the baseline together with six perturbations: all canal-edge efficiencies at −5% and +5%, all positive net demands at −10% and +10%, and the capacities of edges K5, K6, K8, K11, and K12 at −10% and +10%. For each perturbation, all other inputs, source limits, and controlled-scenario settings are held constant. The README file describes the dataset structure, field definitions, calculation settings, and reproduction procedure. Service-block identifiers are anonymized as F1–F20, while personal identifiers and local filesystem paths have been removed. The scarcity limits represent controlled analytical scenario parameters rather than historically observed shortages or field-validated operational constraints.