Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5509-2021
https://doi.org/10.5194/essd-13-5509-2021
Data description paper
 | 
30 Nov 2021
Data description paper |  | 30 Nov 2021

INSTANCE – the Italian seismic dataset for machine learning

Alberto Michelini, Spina Cianetti, Sonja Gaviano, Carlo Giunchi, Dario Jozinović, and Valentino Lauciani

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Revised manuscript not accepted
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Cited articles

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We present a dataset consisting of seismic waveforms and associated metadata to be used primarily for seismologically oriented machine-learning (ML) studies. The dataset includes about 1.3 M three-component seismograms of fixed 120 s length, sampled at 100 Hz and recorded by more than 600 stations in Italy. The dataset is subdivided into seismograms deriving from earthquakes (~ 1.2 M) and from seismic noise (~ 130 000). The ~ 54 000 earthquakes range in magnitude from 0 to 6.5 from 2005 to 2020.
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