Data feeds

Northwest Knowledge Network (NKN)

NKN is a network of people, hardware, software, High Performance Computing (HPC), broadband connectivity, data & metadata, and its transformation into Knowledge that serves the interests, needs, and imaginations of those of us who live in the Northwest and collectively all of us around the world.
Here is access to the data portal, which can be used to search for and browse the data: https://www.northwestknowledge.net/portal_access

Tropical Rainfall Measuring Mission (TRMM)

Tropical Rainfall Measuring Mission (TRMM) is a joint project between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall.
Example data from the TRMM project: TRMM-based precipitation estimates. A series of quasi-global, near-real-time, TRMM-based precipitation estimates is provided on a global 0.25 ° x0.25 ° grid over the latitude band 50 ° N-S within about seven hours of observation time.

Natural Disaster Hotspots

List of news feeds

USGS – Landslide Events

List of Radiation Data Sources in Japan

International Databases

CRED: EM-DAT. The International Disaster Database

Disasters affect many people in many countries. GRAIT-DM (Global Research on Applying Information Technology for Disaster Management) is an international collaborative effort. The multi-hazard research represented by LITMUS is an international collaboration with Japan, and a growing partnership with many countries affected by landslides such as Brazil, China, India, and Russia. Successful detection and prediction of multi-hazards will have significant human, social, and economic benefits with positive impact on the people around the world.

Disasters affect many people in many countries. GRAIT-DM (Global Research on Applying Information Technology for Disaster Management) is an international collaborative effort. The multi-hazard research represented by LITMUS is an international collaboration with Japan, and a growing partnership with many countries affected by landslides such as Brazil, China, India, and Russia. Successful detection and prediction of multi-hazards will have significant human, social, and economic benefits with positive impact on the people around the world.