New Tables for Infrasound Event Catalogs with a Focus on Machine Learning
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Applied Research Associates, Inc., Greenville, SC (United States)
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Natural and anthropogenic sources such as volcanoes, earthquakes, auroral processes, chemical and nuclear explosions, rocket launches, and aircraft can generate infrasound, sound with frequencies less than 20 Hz. Both the availability of infrasound data and interest in machine learning (ML) applications have grown in recent years. Large, open-source datasets are essential to solving complex ML problems, but the field of infrasound is lacking in this arena. To increase the utility of ML for infrasound, here we present new tables for infrasound event catalogs. It is the aim that these tables be incorporated into both existing and future infrasound processing pipelines to generate large datasets ripe for use with ML/DL methods.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2431952
- Report Number(s):
- SAND--2023-00094
- Country of Publication:
- United States
- Language:
- English
Similar Records
Benchmarking Current and Emerging Approaches to Infrasound Signal Classification
Benchmarking Current and Emerging Approaches to Infrasound Signal Classification