Published May 4, 2021 | Version 1.1
Dataset Open

Machine-Learning-Based High-Resolution Earthquake Catalog For the 2016-2017 Central Italy Sequence

Authors/Creators

  • 1. The Chinese University of Hong Kong
  • 2. Lamont-Doherty Earth Observatory of Columbia University
  • 3. Stanford University

Description

This is the earthquake catalog published as part of the manuscript Tan et al. (2021), Machine-Learning-Based High-Resolution Earthquake Catalog Reveals How Complex Fault Structures Were Activated During the 2016-2017 Central Italy Sequence, The Seismic Record. 

The meaning of column headers:

ml_n: number of amplitude measurements that went into the local magnitude estimate

ml_mean: local magnitude taken as mean of all stations

ml_std: local magnitude sample standard deviation

ml_median: local magnitude taken as median of all stations

mw: moment magnitude converted from ml_median 

split: 1 are potential split events, identified for having similar origin time, location, and magnitude as another event but with significantly fewer associated arrival time picks

Files

Amatrice_CAT5.v20210504.csv

Files (105.9 MB)

Name Size Download all
md5:381ed815227c5aeecf849b49bdcf4dc2
105.9 MB Preview Download