2026-10-20T15:46:18Z https://oai.datacite.org/oai

doi:10.13127/ai/esm25 2026-06-23T07:20:20Z WNGN CRUI.INGV

0 CRUI.INGV 10.13127/AI/ESM25 Cianetti, Spina Spina Cianetti https://orcid.org/0000-0002-0690-7274 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Mascandola, Claudia Claudia Mascandola https://orcid.org/0000-0003-1941-4679 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Faenza, Licia Licia Faenza https://orcid.org/0000-0002-6135-1141 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Russo, Emiliano Emiliano Russo https://orcid.org/0000-0002-1032-7002 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Felicetta, Chiara Chiara Felicetta https://orcid.org/0000-0003-2852-9144 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) Münchmeyer, Jannes, Münchmeyer, Jannes Münchmeyer, Jannes Münchmeyer, Jannes https://orcid.org/0000-0002-4006-9673 GFZ Helmholtz Centre for Geosciences Luzi, Lucia Lucia Luzi https://orcid.org/0000-0003-4312-580X 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) 2026 seismic waveforms and associated metadata 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) Jozinović, Dario Dario Jozinović https://orcid.org/0000-0001-7443-3915 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Faenza, Licia Licia Faenza https://orcid.org/0000-0002-6135-1141 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Münchmeyer, Jannes, Münchmeyer, Jannes Münchmeyer, Jannes Münchmeyer, Jannes https://orcid.org/0000-0002-4006-9673 GFZ Helmholtz Centre for Geosciences Mascandola, Claudia Claudia Mascandola https://orcid.org/0000-0003-1941-4679 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Felicetta, Chiara Chiara Felicetta https://orcid.org/0000-0003-2852-9144 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Russo, Emiliano Emiliano Russo https://orcid.org/0000-0002-1032-7002 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Luzi, Lucia Lucia Luzi https://orcid.org/0000-0003-4312-580X 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 1967-01-01/2026-04-30 2026-06 en https://esm-db.eu/ https://data.ingv.it/metadata/iso19115/10.13127/ai/esm25.xml 276 GB text/csv application/x-hdf5 Open Access Creative Commons Attribution 4.0 International The ESM25 dataset is a comprehensive, ML-ready compilation of strong-motion recordings from the Engineering Strong-Motion database (ESM). It provides 3C waveforms, manually processed time-histories, and response spectra for nearly 100,000 records across the Euro-Mediterranean and Middle East region. The dataset is structured following the format established by INSTANCE (Michelini et al., 2021) and is natively compatible with SeisBench (Woollam et al., 2022), enabling immediate use in machine-learning pipelines for ground-motion prediction, quality-control automation, and site-effect analysis. Each record has been classified as good or bad quality based on manual review. Good-quality records include both converted-to-physical-units (CV) and manually-processed (MP) waveforms, along with response spectra. Bad-quality records include CV waveforms only. CV contains acceleration only; MP contains acceleration, velocity, and displacement waveforms together with acceleration and displacement response spectra. Mainly Euro Mediterranean and Middle East region Euro Mediterranean -30 60 20 72 Observatories and Research Facilities for European Seismology (ORFEUS) https://ror.org/01v801w64 ESM25 - Engineering Strong Motion ML dataset