This repository contains a reproducible EPA SWMM modelling package developed to evaluate low-impact development (LID) and sustainable urban drainage system (SuDS) scenarios for mitigating pluvial flooding at a school site in Durán, Ecuador. The package includes Python scripts for generating Chicago design hyetographs at a 5-minute temporal resolution, rainfall-station data, synthetic storm hyetographs, EPA SWMM input models, archived outputs from 60 SWMM simulations, R scripts for extracting and analysing SWMM report files, final tables and figures, and the files required to restore the reproducible R environment. The design-storm set combines three return periods 5, 10 and 20 years with five storm durations 30, 60, 120, 180 and 240 minutes resulting in 15 synthetic rainfall events. Each event was applied to four SWMM scenarios: the baseline model and three LID/SuDS alternatives. The archived simulations include the input, report, output and log files for each scenario storm combination. The main R analysis script extracts hydrological and hydraulic indicators from the SWMM report files, verifies continuity errors, calculates percentage changes relative to the baseline scenario, ranks the LID/SuDS alternatives using multicriteria indicators, quantifies uncertainty through bootstrap resampling and evaluates the robustness of the results across the design storms. This dataset is intended to support the reproducibility, transparency and independent verification of the modelling workflow used in the associated study of urban pluvial-flood mitigation through LID/SuDS alternatives in data-limited educational infrastructure.