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README.md

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OpenEEW

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/grillo-openeew-dataset")

fs.listdir("s3://grillo-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.

Contact:

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

Managed By:

https://grillo.io/

Collabs:

  • ASDI:
    • Tags: disaster response

Resources:

  1. resource:
    • Description: OpenEEW
    • ARN: arn:aws:s3:::grillo-openeew
    • Region: us-east-1
    • Type: S3 Bucket
    • Explore: Browse Bucket

Tags:

disaster response, earth observation, earthquakes, aws-pds, sustainability

Tutorials:

  1. tutorial:

  2. tutorial:

Tools & Applications:

  1. tools & applications:

Publication:

  1. publication:

  2. publication:

  3. publication:

    • Title: Evaluation of the Grillo sensor, a low-cost accelerometer for IoT-based Real-time seismology
    • URL: https://doi.org/10.31223/X5XS47
    • AuthorName: Vaclav Matej Kuna, Diego Melgar, Andres Meira
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About

grillo-openeew-dataset is originate from the Registry of Open Data on AWS

Collaborators 5

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