Articles | Volume 13, issue 12
Earth Syst. Sci. Data, 13, 5509–5544, 2021
https://doi.org/10.5194/essd-13-5509-2021
Earth Syst. Sci. Data, 13, 5509–5544, 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-164', Martijn van den Ende, 03 Jul 2021
    • AC1: 'Reply on RC1', Alberto Michelini, 06 Jul 2021
  • RC2: 'Comment on essd-2021-164', John Clinton, 26 Jul 2021
    • AC2: 'Reply on RC2', Alberto Michelini, 16 Aug 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alberto Michelini on behalf of the Authors (30 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Sep 2021) by Kirsten Elger
ED: Publish subject to minor revisions (review by editor) (04 Oct 2021) by Kirsten Elger
AR by Alberto Michelini on behalf of the Authors (08 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (17 Oct 2021) by Kirsten Elger
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Short summary
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.