sevir.yaml

Name: Storm EVent ImageRy (SEVIR)
Description: Collection of spatially and temporally aligned GOES-16 ABI satellite imagery, NEXRAD radar mosaics, and GOES-16 GLM lightning detections.  
Documentation: https://sevir.mit.edu/sevir-details
Contact: mark.veillette@mit.edu
ManagedBy: Mark S. Veillette
UpdateFrequency: New events will be added to SEVIR yearly
Tags:
  - satellite imagery
  - weather
  - meteorological
  - aws-pds
License: There are no restrictions on the use of this data.
Resources:
  - Description: Dataset of storm imagery 
    ARN: arn:aws:s3:::sevir
    Region: us-east-1
    Type: S3 Bucket
DataAtWork:
  Tutorials:
    - Title: Introduction to SEVIR
      URL: https://nbviewer.jupyter.org/github/MIT-AI-Accelerator/eie-sevir/blob/master/examples/SEVIR_Tutorial.ipynb
      AuthorName: Mark Veillette
      AuthorURL: https://github.com/markveillette
    - Title: Using Generators for SEVIR data
      URL: https://nbviewer.jupyter.org/github/MIT-AI-Accelerator/eie-sevir/blob/master/examples/Generators.ipynb
      AuthorName: Mark Veillette
      AuthorURL: https://github.com/markveillette
  Tools & Applications:
    - Title: sevir -- python utilities for working with SEVIR dataset
      URL: https://github.com/MIT-AI-Accelerator/eie-sevir
      AuthorName: Mark Veillette
      AuthorURL: https://github.com/markveillette