Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-3109-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-3109-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
01 Jul 2025
Data description paper |
| 01 Jul 2025
| 01 Jul 2025
The Italian Archive of Historical Earthquake Data, ASMI
Istituto Nazionale di Geofisica e Vulcanologia, via A. Corti 12, 20133 Milan, Italy
Mario Locati
Istituto Nazionale di Geofisica e Vulcanologia, via A. Corti 12, 20133 Milan, Italy
Andrea Antonucci
Istituto Nazionale di Geofisica e Vulcanologia, via A. Corti 12, 20133 Milan, Italy
Romano Camassi
Istituto Nazionale di Geofisica e Vulcanologia, viale Berti Pichat 6/2, 40127 Bologna, Italy
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Cited articles
Albini, P., Locati, M., Rovida, A., and Stucchi, M.: European Archive of Historical EArthquake Data (AHEAD), Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.6092/ingv.it-ahead, 2013.
Albini, P., Musson, R. M. W., Rovida, A., Locati, M., Gomez Capera, A. A., and Viganò, D.: The Global Earthquake History, Earthq. Spectra, 30, 1–18, https://doi.org/10.1193/122013EQS297, 2014.
ASMI web portal: https://emidius.mi.ingv.it/ASMI/, last access: 26 June 2025.
Azzaro, R. and D'Amico, S.: Catalogo Macrosismico dei Terremoti Etnei (CMTE) Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/cmte, 2019.
Bahim, C., Casorrán-Amilburu, C., Dekkers, M., Herczog, E., Loozen, N., Repanas, K., Russell, K., and Stall, S.: The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments, Data Science Journal, 19, 41, https://doi.org/10.5334/dsj-2020-041, 2020.
Bailo, D., Jeffery, K. G., Atakan, K., Trani, L., Paciello, R., Vinciarelli, V., Michalek, J., and Spinuso, A.: Data integration and FAIR data management in Solid Earth Science, Ann. Geophys., 65, DM210, https://doi.org/10.4401/ag-8742, 2022.
Bailo, D., Paciello, R., Michalek, J., Cocco, M, Freda, C., Jeffery, K., and Atakan, K.: The EPOS multi-disciplinary Data Portal for integrated access to solid Earth science datasets, Sci. Data, 10, 784, https://doi.org/10.1038/s41597-023-02697-9, 2023a.
Bailo, D., Paciello, R., Vinciarelli, V., Orfino, A., Jeffery, K. G., Michalek, J., and Goffi, C.: Integrated Access to Multidisciplinary Data Through Semantically Interoperable Services in a Metadata-Driven Platform for Solid Earth Science, in: ommunications in Computer and Information Science, edited by: Garoufallou, E. and Vlachidis, A., Metadata and Semantic Research, MTSR 2022, C vol. 1789, Springer, Cham., https://doi.org/10.1007/978-3-031-39141-5_20, 2023b.
Baratta, M.: I terremoti d'Italia; saggio di storia geografia e bibliografia sismica italiana, Torino, 950 pp., 1901.
Boschi, E., Ferrari, G., Gasperini, P., Guidoboni, E., Smriglio G., and Valensise, G.: Catalogo dei forti terremoti in Italia dal 461 a.C. al 1980, ING-SGA, Bologna, 970 pp., ISBN 88-85213-07-3, 1995.
Boschi, E., Guidoboni, E., Ferrari, G., Valensise, G., and Gasperini, P.: Catalogo dei forti terremoti in Italia dal 461 a.C. al 1990, vol. 2, ING-SGA, Bologna, 644 pp., ISBN 88-85213-08-1, 1997.
BRGM-EDF-IRSN/SisFrance: Sismicité historique de la France métropolitaine, https://www.sisfrance.net/, last access: 30 January 2025.
Camassi, R. and Stucchi, M.: NT4.1: un catalogo parametrico di terremoti di area italiana al di sopra della soglia di danno (versione 4.1.1), Milano, 93 pp., 1997.
Chiaraluce, L., Festa, G., Bernard, P., Caracausi, A., Carluccio, I., Clinton, J., Di Stefano, R., Elia, L., Evangelidis, C., Ergintav, S., Jianu, O., Kaviris, G., Marmureanu, A., Sebela, S., and Sokos, E.: The Near Fault Observatory community in Europe: a new resource for faulting and hazard studies, Ann. Geophys., 65, DM316, https://doi.org/10.4401/ag-8778, 2022.
CPTI Working Group: Catalogo Parametrico dei Terremoti Italiani, ING, GNDT, SGA, SSN, Bologna, 92 pp., https://doi.org/10.6092/INGV.IT-CPTI99, 1999.
CPTI Working Group: Catalogo Parametrico dei Terremoti Italiani, versione 2004 (CPTI04), Istituto Nazionale di Geofisica e Vulcanologia (INGV), Bologna, https://doi.org/10.6092/INGV.IT-CPTI04, 2004.
D'Amico, M. C., Felicetta, C., Russo, E., Sgobba, S., Lanzano, G., Pacor, F., and Luzi, L.: The new ITalian ACcelerometric Archive ITACA: database, web-services, and tools to access and analyze earthquakes waveforms, Rapporti Tecnici INGV, 43 pp., https://doi.org/10.13127/RPT/429, 2021.
Devaraju, A. and Huber, R.: F-UJI – An Automated FAIR Data Assessment Tool, Zenodo [code], https://doi.org/10.5281/zenodo.6361400, 2020.
DISS Working Group: Database of Individual Seismogenic Sources (DISS), version 3.3.0: A compilation of potential sources for earthquakes larger than M 5.5 in Italy and surrounding areas, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/diss3.3.0, 2021.
EPOS Data Portal: https://www.ics-c.epos-eu.org/, last access: 26 June 2025.
European Facilities for Earthquake Hazard and Risk: EFEHR, http://www.efehr.org/, last access: 26 June 2025.
European-Mediterranean Seismological Centre, EMSC, https://www.emsc.eu/, last access: 26 June 2025.
FAIR Data Maturity Model Working Group: FAIR Data Maturity Model. Specification and Guidelines. Research Data Alliance, Zenodo, https://doi.org/10.15497/rda00050, 2020.
FAIRsharing.org: ASMI: Italian Archive of Historical Earthquake Data, Last Edited: Thursday, February 27th 2025, 13:22, FAIRsharing.org [data set], https://doi.org/10.25504/FAIRsharing.78e99f, 2025.
Fäh, D., Giardini, D., Kästli, P., Deichmann, N., Gisler, M., Schwarz-Zanetti, G., Alvarez-Rubio, S., Sellami, S., Edwards, B., Allmann, B., Bethmann, F., Wössner, J., Gassner-Stamm, G., Fritsche, S., and Eberhard, D.: ECOS-09 Earthquake catalogue of Switzerland release 2011 report and database, Public catalogue 17.4.2011, Swiss Seismological Service ETH, Zürich, Report SED/ECOS/R/001/20110417, http://www.seismo.ethz.ch/export/sites/sedsite/knowledge/.galleries/pdf_knowledge/SUIhaz2015_final-report_16072016_2.pdf_2063069299.pdf (last access: 26 June 2025), 2011.
Felicetta, C., Russo, E., D'Amico, M. C., Sgobba, S., Lanzano, G., Mascandola, C., Pacor, F., and Luzi, L.: ITalian ACcelerometric Archive (ITACA), version 4.0, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/itaca.4.0, 2023.
Gasperini, P., Bernardini, F., Valensise, G., and Boschi, E.: Defining seismogenic sources from historical felt reports, B. Seismol. Soc. Am., 89, 94–110, https://doi.org/10.1785/BSSA0890010094, 1999.
Gasperini, P., Vannucci, G., Tripone, D., and Boschi, E.: The Location and Sizing of Historical Earthquakes Using the Attenuation of Macroseismic Intensity with Distance. B. Seismol. Soc. Am., 100, 2035–2066, https://doi.org/10.1785/0120090330, 2010.
GeoServer: https://geoserver.org/, last access: 10 October 2024.
GFZ German Research Centre For Geosciences, Humboldt-Universität Zu Berlin, Germany Karlsruhe Institute Of Technology (KIT), Purdue University Libraries, Bertelmann, R., Buys, M., Cousijn, H., Dierolf, U., Elger, K., Fenner, M., Ferguson, L. M., Fritze, F., Fuchs, C., Goebelbecker, H.-J., Gundlach, J., Kindling, M., Kloska, G., Klump, J., Kramer, C., et al.: Registry of Research Data Repositories, DataCite, https://doi.org/10.17616/R3D, 2013.
Guidoboni, E., Ferrari, G., Mariotti, D., Comastri, A., Tarabusi, G., Sgattoni, G., and Valensise, G.: CFTI5Med, Catalogo dei Forti Terremoti in Italia (461 a.C.–1997) e nell'area Mediterranea (760 a.C.–1500), version 5, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.6092/ingv.it-cfti5, 2018.
Guidoboni, E., Ferrari, G., Tarabusi, G., Sgattoni, G., Comastri, A., Mariotti, D., Ciuccarelli, C., Bianchi, M. G., and Valensise, G.: CFTI5Med, the new release of the catalogue of strong earthquakes in Italy and in the Mediterranean area, Sci. Data, 6, 80, https://doi.org/10.1038/s41597-019-0091-9, 2019.
Haslinger, F., Basili, R., Bossu, R., Cauzzi, C., Cotton, F., Crowley, H., Custodio, S., Danciu, L., Locati, M., Michelini, A., Molinari, I., Ottemöller, L., and Parolai, S.: Coordinated and Interoperable Seismological Data and Product Services in Europe: the EPOS Thematic Core Service for Seismology, Ann. Geophys., 65, DM213, https://doi.org/10.4401/ag-8767, 2022.
INGV Data Management Office: INGV Open Data Registry, the metadata catalogue of the Istituto Nazionale di Geofisica e Vulcanologia. Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/data-registry, 2020.
International Federation of Digital Seismograph Networks: FDSN, http://www.fdsn.org/webservices/, last access: 26 June 2025.
Jomard, H., Scotti, O., Auclair, S., Dominique, P., Manchuel, K., and Sicilia, D.: The SISFRANCE database of historical seismicity. State of the art and perspectives, CR Geosci., 353, 257–280, https://doi.org/10.5802/crgeos.91, 2021.
Locati, M.: Describing non-instrumental seismological data in QuakeML: the need for a macroseismic extension, Second European Conference on Earthquake Engineering and Seismology (2ECEES), Istanbul (Turkey), 24–29 August 2014, http://hdl.handle.net/2122/11271 (last access: 26 June 2025), 2014.
Locati, M. and Cassera, A.: MIDOP, Macroseismic Intensity Data Online Publisher, Rapporti Tecnici INGV, 123, 92 pp., http://hdl.handle.net/2122/6669 (last access: 26 June 2025), 2010.
Locati, M., Rovida, A., Albini, P., and Stucchi, M.: The AHEAD Portal: A Gateway to European Historical Earthquake Data, Seismol. Res. Lett., 85, 727–734, https://doi.org/10.1785/0220130113, 2014.
Locati, M., Gomez Capera, A. A., Puglia, R., and Santulin, M.: Rosetta, a tool for linking accelerometric recordings and macroseismic observations: description and applications, B. Earthq. Eng., 15, 2429–2443, https://doi.org/10.1007/s10518-016-9955-y, 2016.
Locati, M., Vallone, R., Ghetta, M., and Dawson, N.: QQuake, a QGIS Plugin for Loading Seismological Data From Web Services, Front. Earth Sci., 9, 614663, https://doi.org/10.3389/feart.2021.614663, 2021.
Locati, M., Camassi, R., Rovida, A., Ercolani, E., Bernardini, F., Castelli, V., Caracciolo, C. H., Tertulliani, A., Rossi, A., Azzaro, R., D'Amico, S., and Antonucci, A.: Italian Macroseismic Database (DBMI15), version 4.0, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/dbmi/dbmi15.4, 2022.
Manchuel, K., Traversa, P., Baumont, D., Cara, M., Nayman, E., and Durouchoux, C.: The French seismic CATalogue (FCAT-17), B. Earthq. Eng., 16, 2227–2251, https://doi.org/10.1007/s10518-017-0236-1, 2018.
Maramai, A., Brizuela, B., and Graziani, L.: The euro-mediterranean tsunami catalogue, Ann. Geophys., 57, S0435, https://doi.org/10.4401/ag-6437, 2014.
Maramai, A., Graziani, L., and Brizuela, B.: Euro-Mediterranean Tsunami Catalogue (EMTC), version 2.0, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/tsunami/emtc.2.0, 2019.
Maramai, A., Graziani, L., and Brizuela, B.: Italian Tsunami Effects Database (ITED): The First Database of Tsunami Effects Observed Along the Italian Coasts, Front. Earth Sci., 9, 596044, https://doi.org/10.3389/feart.2021.596044, 2021.
Michelini, A., Faenza, L., Lanzano, G., Lauciani, V., Jozinović, D., Puglia, R., and Luzi, L.: The new ShakeMap in Italy: Progress and advances in the last 10 yr, Seismol. Res. Lett., 91, 317–333, https://doi.org/10.1785/0220190130, 2020.
Monachesi, G. and Stucchi, M.: DOM4.1, un database di osservazioni macrosismiche di terremoti di area italiana al di sopra della soglia del danno, GNDT, Internal report, Milano-Macerata, 1997.
Nannipieri, L., Cacciaguerra, S., Mirenna, S., Locati, M., Marletta, M., and Gucciardi, E.: Making Linked Data more reliable with a failover server system: a case study with seismological data at INGV, Ann. Geophys., 62, DM567, https://doi.org/10.4401/ag-8050, 2019.
NGINX: https://nginx.org/, last access: 26 June 2025.
Observatories & Research Facilities for European Seismology: ORFEUS, https://www.orfeus-eu.org/, last access: 26 June 2025.
Open Geospatial Consortium: OGC, https://www.ogc.org/, last access: 26 June 2025.
Oliveti, I., Faenza, L., Antonucci, A., Locati, M., Rovida, A., Michelini, A., and Lauciani, V.: ShakeMap Atlas of historical earthquakes in Italy, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/shakemaps/historical, 2023a.
Oliveti, I., Faenza, L., Antonucci, A., Locati, M., Rovida, A., and Michelini, A.: The ShakeMap Atlas of Historical Earthquakes in Italy: Configuration and Validation, Seismol. Res. Lett., 95, 21–37, https://doi.org/10.1785/0220230138, 2023b.
Osservatorio Nazionale dei Terremoti: ONT, https://terremoti.ingv.it/, last access: 26 June 2025.
Postpischl, D.: Catalogo dei terremoti italiani dall'anno 1000 al 1980, Quaderni della Ricerca Scientifica, 114, 2B, Bologna, 239 pp., 1985a.
Postpischl, D. (Ed.): Atlas of isoseismal maps of Italian earthquakes. Quaderni della Ricerca Scientifica, 114, 2A, Roma, 164 pp., 1985b.
QUEST, Quick Earthquake Survey Team: Database Macrosismico Fotografico (DFM), Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/dfm, 2022.
re3data.org: Archivio Storico Macrosismico Italiano; editing status 2024-07-14; re3data.org – Registry of Research Data Repositories [data set], https://doi.org/10.17616/R31NJNLH, 2025.
Rovida, A. and Antonucci, A.: EPICA – European PreInstrumental Earthquake CAtalogue, version 1.1, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/epica.1.1, 2021.
Rovida, A. and Locati, M.: Archive of Historical Earthquake Data for the European-Mediterranean Area, in: Perspectives on European Earthquake Engineering and Seismology, Geot. Geol. Earthquake, 359–369, https://doi.org/10.1007/978-3-319-16964-4_14, 2015.
Rovida, A., Locati, M., Antonucci, A., and Camassi, R.: Archivio Storico Macrosismico Italiano (ASMI), Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/asmi, 2017.
Rovida, A., Locati, M., Camassi, R., Lolli, B., and Gasperini, P.: The Italian earthquake catalogue CPTI15, B. Earthq. Eng., 18, 2953–2984, https://doi.org/10.1007/s10518-020-00818-y, 2020a.
Rovida, A., Albini, P., Locati, M., and Antonucci, A.: Insights into Preinstrumental Earthquake Data and Catalogs in Europe. Seismol. Res. Lett., 91, 2546–2553, https://doi.org/10.1785/0220200058, 2020b.
Rovida, A., Locati, M., Camassi, R., Lolli, B., Gasperini, P. and Antonucci, A.: Italian Parametric Earthquake Catalogue (CPTI15), version 4.0, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/cpti/cpti15.4, 2022a.
Rovida, A., Antonucci, A., and Locati, M.: The European Preinstrumental Earthquake Catalogue EPICA, the 1000–1899 catalogue for the European Seismic Hazard Model 2020, Earth Syst. Sci. Data, 14, 5213–5231, https://doi.org/10.5194/essd-14-5213-2022, 2022b.
Sansone, S.-A., McQuilton, P., Rocca-Serra, P., Gonzalez-Beltran, A., Izzo, M., Lister, A. L., and Thurston, M.: the FAIRsharing Community. FAIRsharing as a community approach to standards, repositories and policies, Nat. Biotechnol., 37, 358–367, https://doi.org/10.1038/s41587-019-0080-8, 2019.
Schorlemmer, D., Euchner, F., Kästli, P., and Saul, J.: QuakeML: status of the XML-based seismological data exchange format, Ann. Geophys., 54, 59–65, https://doi.org/10.4401/ag-4874, 2011.
Stucchi, M., Camassi, R., Rovida, A., Locati, M., Ercolani, E., Melett, I. C., Migliavacca, P., Bernardini, F., and Azzaro, R.: DBMI04, il database delle osservazioni macrosismiche dei terremoti italiani utilizzate per la compilazione del catalogo parametrico CPTI04, Quaderni di Geofisica, 49, INGV, Roma, 38 pp., https://doi.org/10.6092/INGV.IT-DBMI04, 2007.
Wilkinson, M., Dumontier, M., Aalbersberg, I., Appleton, G., Axton, M., Baak, A., Blomberg N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., ’t Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.: The FAIR Guiding Principles for scientific data management and stewardship, Sci. Data, 3, 160018, https://doi.org/10.1038/sdata.2016.18, 2016.
Worden, C. B., Thompson, E. M., Hearne, M., and Wald, D. J.: ShakeMap manual online: Technical manual, user's guide, and software guide, U. S. Geol. Surv., http://cbworden.github.io/shakemap (last access: 10 October 2024), 2020.
Short summary
ASMI, the Italian Archive of Historical Earthquake Data, is an online data collection that currently provides seismological data on earthquakes that occurred in and around Italy from from 461 BCE to 2025 CE. Based on more than 450 data sources, ASMI's web portal distributes earthquake parameters and macroseismic intensity data, along with the bibliographical reference of the data source and – if possible – the data source itself, through queries by both earthquake and data source.
ASMI, the Italian Archive of Historical Earthquake Data, is an online data collection that...
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