Streamlit Dashboard for the EM-DAT Data
-
Updated
Jan 7, 2026 - Python
Streamlit Dashboard for the EM-DAT Data
Wrangler for Emergency Events Database
Analyse des données EM-DAT sur les catastrophes naturelles dans le monde
Resilience metric validation with EM-DAT and Eurostat
Replication package: What Gets Counted as a Disaster? Institutional Selection and Monetisation in Global Loss Data — EM-DAT linked to MODIS burned area and IBTrACS wind fields to separate entry into the disaster record from monetisation after it
6-hour cyclone intensity forecast + district-level exposure ranking for the North Indian Ocean, on a 3D satellite globe.
A data visualizer tool produces the return period-loss graph of low-impact hazardous events for 91 countries. This tool use publicly available data from national disaster loss databases (DesInventar) and EM-DAT, but also available for other resources.
A simple data processor for the DesInventar and EM-DAT. It can aggregate and slice the data.
FloodWatch is a dbt and BigQuery pipeline modeling verified flood events across Africa, 1900 to 2026.
Interactive Streamlit dashboard and notebook analysing 26 years of flood losses, mortality and the insurance gap across 36 European countries, 2000-2026, using EM-DAT data.
Reproducible data science on UN-sourced humanitarian data: EM-DAT via HDX, UNHCR and World Bank indicators; Python.
To associate your repository with the em-dat topic, visit your repo's landing page and select "manage topics."