OpenEEW

Description

Grillo has developed an IoT-based earthquake early-warning system, with sensors currently deployed in Mexico, Chile, Puerto Rico and Costa Rica, and is now opening its entire archive of unprocessed accelerometer data to the world to encourage the development of new algorithms capable of rapidly detecting and characterizing earthquakes in real time.

Update Frequency

Approximately every 5 minutes

License

https://github.com/openeew/openeew#license

Documentation

https://github.com/openeew/openeew

Managed By

See all datasets managed by Grillo.

Contact

hello@openeew.com

How to Cite

OpenEEW was accessed on DATE from https://registry.opendata.aws/grillo-openeew.

Usage Examples

Tutorials

• Analyzing a magnitude 7.2 earthquake in Mexico using Python by Michael Allman
  
• Detect earthquakes in Chile in real time — from anywhere in the world by Michael Allman
  

Tools & Applications

• OpenEEW library for Python by Grillo
  

Publications

• Evaluation of the Grillo sensor, a low-cost accelerometer for IoT-based Real-time seismology by Vaclav Matej Kuna, Diego Melgar, Andres Meira
  
• How Grillo Built a Low-Cost Earthquake Early Warning System on AWS by Marcia Villalba
  
• NepalEEW: Testing the feasibility of an Earthquake Early Warning System in Nepal by Vaclav M. Kuna