Additional Resources

EM-DAT Archive, Software, and Complementary Data

Unless stated otherwise, these resources were neither developed nor are they maintained by the EM-DAT team. Please contact the corresponding authors with any questions.

EM-DAT Archive

The EM-DAT Archive, hosted on the University of Louvain (UCLouvain) Dataverse and maintained by the EM-DAT team, preserves official versions of the EM-DAT public data to support open and reproducible research. Each version includes the EM-DAT Public Table, its column description, and a PDF copy of this documentation, and is released under a CC BY-NC-ND 4.0 license (see also Data Accessibility).

Version Release Date Data Download Date Records Period EM-TEST Version Reference
2.0 2026-04-30 2026-04-30 1900–2024 v2026.05.0 Delforge et al. (2026)
1.1 2025-07-09 2024-12-04 1900–2023 v2024.12.0 Delforge et al. (2025)
1.0 2024-12-18 2024-12-04 1900–2023 v2024.12.0 Delforge et al. (2025)

Version 1.1 contains the same data files as version 1.0. When using an archived version, please cite the corresponding reference:

  • Version 2.0: Delforge, D., Below, R., Wathelet, V., Alonso, A., & Speybroeck, N. (2026). The 2024 Emergency Events Database Archive: The year in review and historical data updates [Preprint]. Zenodo. https://doi.org/10.5281/zenodo.20071134
  • Versions 1.0 and 1.1: Delforge, D., Wathelet, V., Below, R., Lanfredi Sofia, C., Tonnelier, M., van Loenhout, J. A. F., & Speybroeck, N. (2025). EM-DAT: The Emergency Events Database. International Journal of Disaster Risk Reduction, 124, Article 105509. https://doi.org/10.1016/j.ijdrr.2025.105509

Software

  • EM-VIEW: A Streamlit Dashboard to explore and analyze the EM-DAT Public Table. Also available as a GitHub repo for customization. Learn more from its initial announcement.
  • EM-TEST: An open-source testing framework, built on the pandas and pandera Python packages, to validate EM-DAT public data files and check the compatibility between versions. Developed by the EM-DAT team and archived on Zenodo.

Augmented EM-DAT Data

  • Geocoded Disasters (GDIS): an augmented dataset with geocoding, based on the GADM data, for 9,924 disasters between 1960 and 2018 (Rosvold & Buhaug, 2021).
  • Flood Disasters (FLODIS): an augmented dataset for flood disasters (2000–2018), based on Tellman et al. (2021) and IDMC data, that links EM-DAT to hazard footprints, exposed and displaced population data (Mester et al., 2023).
  • Geo-Disasters: geocoding of climate-related events in EM-DAT (Teber et al., 2026).
  • Disaster Storylines and Knowledge Graphs: storylines and knowledge graphs for over 3,000 EM-DAT disasters (2014–2024), extracted from global news of the Europe Media Monitor using large language models and retrieval-augmented generation (Ronco et al., 2026).

Other Disaster Occurrence and Loss Datasets

  • Wikimpacts 1.0: a global climate impact database built by extracting information from Wikipedia with large language models, covering 2,726 events from 1034 to 2024 at the event, national, and sub-national levels (Li et al., 2026).
  • ROUGE: the Red Cross Operations Unified Global Emergency database, documenting socio-economic impacts of natural hazards at national and sub-national levels, extracted with large language models from operational reports of the International Federation of Red Cross and Red Crescent Societies (IFRC), with broad coverage of the Global South (Hasbini et al., 2026).
  • HANZE v2.1: the Historical Analysis of Natural HaZards in Europe database, covering 2,521 riverine, pluvial, coastal, and compound flood events in 42 European countries from 1870 to 2020, with fatalities, affected persons, inundated areas, and economic losses (Paprotny et al., 2024).
  • Risk Data Hub – Disaster Losses: a curated European dataset of historical disaster losses since 1980, harmonized from multiple sources by the Joint Research Centre (JRC) of the European Commission, with unique event identifiers at the national and European levels. The data can be explored through the Risk Data Hub dashboards and accessed through the Risk Data Hub API under a CC BY 4.0 license.

Other Useful Resources