2026-04-04T02:43:54Z https://oai.datacite.org/oai

doi:10.13127/instance/groundmotion.1 2025-04-16T16:23:45Z WNGN CRUI.INGV

2 CRUI.INGV 10.13127/INSTANCE/GROUNDMOTION.1 Michelini, Alberto Alberto Michelini https://orcid.org/0000-0001-6716-8551 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Cianetti, Spina Spina Cianetti https://orcid.org/0000-0002-0690-7274 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Gaviano, Sonja Sonja Gaviano https://orcid.org/0000-0003-3481-2923 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Giunchi, Carlo Carlo Giunchi https://orcid.org/0000-0002-0174-324X Istituto Nazionale di Geofisica e Vulcanologia (INGV) Jozinović, Dario Dario Jozinović https://orcid.org/0000-0001-7443-3915 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Lauciani, Valentino Valentino Lauciani https://orcid.org/0000-0002-9672-7428 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2021 ground motion waveforms machine learning big data seismic event detection ground motion estimation analysis benchmarking seismic tomography Cianetti, Spina Spina Cianetti https://orcid.org/0000-0002-0690-7274 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Giunchi, Carlo Carlo Giunchi https://orcid.org/0000-0002-0174-324X Istituto Nazionale di Geofisica e Vulcanologia (INGV) Gaviano, Sonja Sonja Gaviano https://orcid.org/0000-0003-3481-2923 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Jozinović, Dario Dario Jozinović https://orcid.org/0000-0001-7443-3915 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Lauciani, Valentino Valentino Lauciani https://orcid.org/0000-0002-9672-7428 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Michelini, Alberto Alberto Michelini https://orcid.org/0000-0001-6716-8551 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Istituto Nazionale di Geofisica e Vulcanologia (INGV) https://ror.org/00qps9a02 2005-01-01/2020-01-31 2021-03 en https://eida.ingv.it 10.13127/iside 10.13127/sd/x0fxnh7qfy 10.13127/sd/fbbbtdtd6q 10.7914/sn/ac 10.7914/sn/gu 10.7914/sn/ni 10.7914/sn/ot 10.7914/sn/ox 10.7914/sn/rf 10.7914/sn/st 10.13127/sd/ku7xm12yy9 10.13127/sd/7txegdo5x8 10.13127/sd/fir72chywu http://isnet.unina.it/ 10.7914/sn/hl 10.13127/instance 156 GB application/x-hdf5 1 Open Access Creative Commons Attribution 4.0 International This dataset collects seismic waveforms in ground motion units and it is part of INSTANCE. INSTANCE is a data collection of more than 1.3 million seismic waveforms originating from a selection of about 54,000 earthquakes occurred since 2005 in Italy and surrounding regions and seismic noise recordings randomly extracted from event free time windows of the continuous waveforms archive. The purpose is to provide reference datasets useful to develop and test seismic data processing routines based on machine learning and deep learning frameworks. The primary source of this information is ISIDe (Italian Seismological Instrumental and Parametric Data-Base) for earthquakes and the Italian node of EIDA (http://eida.ingv.it) for seismic data. All the waveforms have been sized to a 120 s window, preprocessed and resampled at 100 Hz. For each trace we provide a large number of parameters as metadata, either derived from event information or computed from trace data. Associated metadata allow for the identification of the source, the station, the path travelled by seismic waves and assessment of the trace quality. The total size of the data collection is about 330 GB. Waveforms files are available either in counts or ground motion units in hdf5 format to facilitate fast access from commonly used machine learning frameworks. Italy Italy 5 19 35 49 European Commission (EC) https://doi.org/10.13039/501100000780 ECHO/SER/2015/722144 ARISTOTLE - All Risk Integrated System Towards the Holistic Early-Warning Ministero dell'Università e della Ricerca (MUR) https://doi.org/10.13039/501100003407 Pianeta Dinamico: Geoscienze per la comprensione dei meccanismi di funzionamento della Terra e dei conseguenti rischi naturali