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

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, <em>The Seismic Record</em>. 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