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Name: OpenEEW
Description: |
Grillo has developed an IoT-based earthquake early-warning system,
with sensors currently deployed in Mexico, Chile 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.
Documentation: https://github.com/grillo/openeew
Contact: openeew@grillo.io
ManagedBy: "[Grillo](https://grillo.io/)"
UpdateFrequency: Approximately every 5 minutes
Tags:
- disaster response
- deep learning
- earth observation
- earthquakes
- machine learning
- aws-pds
- sustainability
License: https://github.com/grillo/openeew#license
Resources:
- Description: OpenEEW
ARN: arn:aws:s3:::grillo-openeew
Region: us-east-1
Type: S3 Bucket
DataAtWork:
Tutorials:
- Title: Analyzing a magnitude 7.2 earthquake in Mexico using Python
URL: https://blog.grillo.io/analyzing-a-magnitude-7-2-earthquake-in-mexico-using-python-6272a4ff63e3
AuthorName: Grillo
AuthorURL: https://grillo.io/openeew/
Tools & Applications:
- Title: OpenEEW library for Python
URL: https://github.com/grillo/openeew-python
AuthorName: Grillo
AuthorURL: https://grillo.io/openeew/
Publications:
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