Published February 28, 2024 | Version v1
Dataset Open

Synthetic and Unlabeled Dataset for Urban Seismic Event Detection (USED)

Creators

  • 1. ROR icon Purdue University West Lafayette
  • 2. Sustainability Geophysics Project

Description

Contains Datasets for training and testing models for Urban Seismic Event Detection (USED).

  1. Strong Dataset: Contains Synthetic Data to be used for supervised learning
  2. Unlabel Dataset: Contains unlabeled data to be used for semi supervised (or unsupervised) learning
  3. Test Synth: Synthetic Dataset to evaluate models
  4. Test Real: Small Real Dataset to evaluate models

 

The data is in SAC format, with JSON labels. The obspy library in python can be used to read this data. 

Files

Test_Real.zip

Files (8.4 GB)

Name Size Download all
md5:6833c96d3a16a74250dc21077337b64f
7.7 GB Preview Download
md5:d325d86bb9b97819aeb69f970470122d
1.7 MB Preview Download
md5:e39d7f11cb804c889433f064418c1e1b
54.5 MB Preview Download
md5:b24253392bae2d4202a2952a74bb9cab
599.3 MB Preview Download

Additional details

Software

Repository URL
https://github.com/parth-hasabnis/SeismicEventDetectionInformed
Programming language
Python
Development Status
Active