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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
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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