Supply Chain Disruption Monitoring Dataset

We present the Supply Chain Disruption Monitoring dataset, a curated resource designed to support research on detecting, classifying, and analysing real-world supply chain disruption events. The dataset compiles reports of disruptions—ranging from natural disasters and geopolitical incidents to supplier failures and logistics bottlenecks—together with relevant contextual attributes that enable both qualitative analysis and the training of machine learning models.

This dataset is intended as a benchmark resource for advancing methods in supply chain risk intelligence, event extraction, early-warning systems, and resilience analytics. By providing structured, publicly available disruption data, it enables reproducible research into how organisations can anticipate, interpret, and respond to supply chain shocks.

Download

👉 The dataset and accompanying code are freely available on GitHub: Supply Chain Disruption Monitoring on GitHub

How to Cite

If you use this dataset in your research, please consider citing:

Almahri, S., Xu, L. and Brintrup, A. Supply Chain Disruption Monitoring Dataset, 2026.

@misc{almahri2026disruption,
  title={Supply Chain Disruption Monitoring Dataset},
  author={Almahri, Sara and Xu, Liming and Brintrup, Alexandra},
  year={2026},
  howpublished={\url{https://github.com/sara-almahri/supply-chain-disruption-monitoring}}
}

⚠️ Disclaimer:
The datasets are provided "as-is" for informational and research purposes only. We make no guarantees regarding accuracy, completeness, or suitability for any specific application. Users are solely responsible for how they use the data, including compliance with relevant laws, regulations, and ethical guidelines. By accessing or downloading any dataset, you agree to use it at your own responsibility.