Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.

The automated workflow for setting up SWAT Models presented in Chawanda et al., 2019 EMS

A Python wrapper for executing and calibrating the Soil and Water Assessment Tool (SWAT) in Unix/macOS systems.

QGIS Processing provider for SWAT based hydrological modelling

This software uses a config file (config.py), which is a settings file, to build and run SWAT+ models. Users can share the config along with their published works to promote transparency as all model options are well documented in the file. Sharing the namelist and data also allows others to reproduce the models from scratch.

Scripts used to process data and namelist used in Chawanda et al. (2019)

Sword World Assistant Tool

Explainable Anomaly Detection for ICS - SWaT Testbed

Agent Operable end to end swat plus modelling

MADR — Multi-Agent Diagnostic Reasoning for distributed hydrological model calibration. LangGraph framework with a Leader and per-sub-basin Worker LLMs. Pluggable model layer (VIC+Lohmann, VIC+CaMa-Flood, SWAT+) and pluggable LLM provider layer (Anthropic, OpenAI, Gemini, DeepSeek, Kimi, Qwen, MiniMax).

Multi-Site and -Objective calibration method for SWAT model

A simple script to show how to download temperature data of different locations of an area from NASA POWER for SWAT module. Extracting data from NetCDF APRODITE data in SWAT input data format.

A professional, automated toolkit for downloading, processing, and formatting real observed weather datasets specifically tailored for the Soil and Water Assessment Tool (SWAT).

Attributions for ML-based ICS Anomaly Detection: SWaT Testbed

This script will interact with a cyber physical system, download its data and manipulate its values.

Python scripts to quickly establish a WASP 8 river model based on a SWAT model structure.

Physics-Guided Contrastive Learning for Zero-Shot Industrial Control System Anomaly Detection using Self-Supervised Representation Learning.

Multi-Source Anomaly Metadata Extraction for Industrial Control Systems: SWaT Testbed

A parallel processing auto-calibration demo for the SWAT model using PyCUP.