The Significant Earthquake Database is a global listing of over 5,700 earthquakes from 2150 BC to the present. A significant earthquake is classified as one that meets at least one of the following criteria: caused deaths, caused moderate damage (approximately $1 million or more), magnitude 7.5 or greater, Modified Mercalli Intensity (MMI) X or greater, or the earthquake generated a tsunami. The database provides information on the date and time of occurrence, latitude and longitude, focal depth, magnitude, maximum MMI intensity, and socio-economic data such as the total number of casualties, injuries, houses destroyed, and houses damaged, and $ dollage damage estimates. References, political geography, and additional comments are also provided for each earthquake. If the earthquake was associated with a tsunami or volcanic eruption, it is flagged and linked to the related tsunami event or significant volcanic eruption.

The “Database of Central and Eastern North American Seismic Velocity Structure” involves the compilation of one-dimensional (1D) seismic velocity-depth functions for central and eastern North America (CENA). The present database is an update of the report by Chulick and Mooney (2002) who present a compilation and statistical analysis of 1D seismic velocity-depth functions for North America and its margins. All seismic velocity-depth functions are extracted from peer-reviewed journal articles, with 86% derived from active-source seismic refraction profiles and the remaining 14% from receiver functions or local earthquake tomography models. No reanalysis of the original seismic field data was undertaken. The database of Chulick and Mooney (2002) covered a much larger region than central and eastern North America. In 2013 the USGS focused on augmenting the Chulick and Mooney (2002) database to update the coverage specifically for central and eastern North America. This augmented compilation was done to help characterize the seismic site response at the locations of nuclear power facilities and was a deliverable specified by a USGS-Nuclear Regulatory Commission Inter-agency Work Agreement, which can be found at https://www.nrc.gov/docs/ML1428/ML14280A412.pdf. Each seismic velocity-depth function is specified by its unique latitude and longitude and consists of the published crustal model for the subsurface Earth layers at that location, with each layer specified by compressional-wave velocity, shear-wave velocity, thickness, and depth. Each entry also includes other information, such as: elevation, geologic province, age of last significant thermo-tectonic activity, and the principal seismic methodology used to determine the velocity-depth function. Chulick, G.S., and Mooney, W.D., 2002, Seismic Structure of the Crust and Uppermost Mantle of North America and Adjacent Oceanic Basins: A Synthesis, Bulletin of the Seismological Society of America, vol.92, no.6, p.2478–2492.

The Geological Survey of Canada (Atlantic and Pacific) has collected marine survey field records on marine expeditions for over 50 years. This release makes available the results of an ongoing effort to scan and convert our inventory of analog marine survey field records (seismic, sidescan and sounder) to digital format. These records were scanned at 300 dpi and converted into JPEG2000 format. Typically, each of these files was between 1 to 2 gbyte in size before compression and compressed by a factor of 10:1. Empirical tests with a number of data sets suggest that there is minimal visual distortion of the scanned data at this level of compression. In this KML file, scanned data are available in a reduced-scale thumbnail format and a compressed full-resolution JPEG2000 format.

Earthquake-triggered ground-failure, such as landsliding and liquefaction, can contribute significantly to losses, but our current ability to accurately include them in earthquake hazard analyses is limited. The development of robust and transportable models requires access to numerous inventories of ground failure triggered by earthquakes that span a broad range of terrains, shaking characteristics, and climates. We present an openly accessible, centralized earthquake-triggered ground-failure inventory repository in the form of a ScienceBase Community to provide open access to these data, and help accelerate progress. The Community hosts digital inventories created by both USGS and non-USGS authors. We present the original digital inventory files (when available) as well as an integrated database with uniform attributes. We also summarize the mapping methodology and level of completeness as reported by the original authors for each inventory. This document describes the steps taken to collect, process, and compile the inventories and the process for adding additional ground-failure inventories to the ScienceBase Community in the future.

This dataset contains ground motion velocity and acceleration seismic waveforms recorded by the Southern California Seismic Network (SCSN) and archived at the Southern California Earthquake Data Center (SCEDC). A Distributed Acousting Sensing (DAS) dataset is included.

The increasing scale and diversity of seismic data, and the growing role of big data in seismology, has raised interest in methods to make data exploration more accessible. This paper presents the use of knowledge graphs (KGs) for representing seismic data and metadata to improve data exploration and analysis, focusing on usability, flexibility, and extensibility. Using constraints derived from domain knowledge in seismology, we define semantic models of seismic station and event information used to construct the KGs. Our approach utilizes the capability of KGs to integrate data across many sources and diverse schema formats. We use schema-diverse, real-world seismic data to construct KGs with millions of nodes, and illustrate potential applications with three big-data examples. Our findings demonstrate the potential of KGs to enhance the efficiency and efficacy of seismological workflows in research and beyond, indicating a promising interdisciplinary future for this technology. Methods The data here consists of, and was collected from:

Station metadata, in StationXML format, acquired from IRIS DMC using the fdsnws-station webservice (https://service.iris.edu/fdsnws/station/1/). Earthquake event data, in NDK format, acquired from the Global Centroid-Moment Tensor (GCMT) catalog webservice (https://www.globalcmt.org) [1,2]. Earthquake event data, in CSV format, acquired from the USGS earthquake catalog webservice (https://doi.org/10.5066/F7MS3QZH) [3].

The format of the data is described in the README. In addition, a complete description of the StationXML, NDK, and USGS file formats can be found at https://www.fdsn.org/xml/station/, https://www.ldeo.columbia.edu/~gcmt/projects/CMT/catalog/allorder.ndk_explained, and https://earthquake.usgs.gov/data/comcat/#event-terms, respectively. Also provided are conversions from NDK and StationXML file formats into JSON format. References: [1] Dziewonski, A. M., Chou, T. A., & Woodhouse, J. H. (1981). Determination of earthquake source parameters from waveform data for studies of global and regional seismicity. Journal of Geophysical Research: Solid Earth, 86(B4), 2825-2852. [2] Ekström, G., Nettles, M., & Dziewoński, A. M. (2012). The global CMT project 2004–2010: Centroid-moment tensors for 13,017 earthquakes. Physics of the Earth and Planetary Interiors, 200, 1-9. [3] U.S. Geological Survey, Earthquake Hazards Program, 2017, Advanced National Seismic System (ANSS) Comprehensive Catalog of Earthquake Events and Products: Various, https://doi.org/10.5066/F7MS3QZH.

Since 1982 DARPA's Center for Seismic Studies (Center) has supported advances in seismology by providing high-quality data and by encouraging the acceptance of standards for data formats and software. Our primary objective is to provide for the research community easy access to the data most important for addressing problems in treaty monitoring seismology.

The Center pioneered the use of relational DBMS technology in seismology, and the familiar Center for Seismic Studies database structure has been in general use since 1984. This structure separates the voluminous waveform data (stored in files or off-line volumes outside the DBMS) from the parametric data that describe detected phases, located events, and pointers to archived waveform segments. The seismic data archived at the Center has been divided into two distinct 'Categories', I and II. For the actual database account names and contents, the user can use SQL*Plus to examine the database summary tables called database_catalog and database_descriptions on the machine hugo.css.gov.

'Category I' includes events for which an extensive suite of parameter data and waveform segments is available on-line in the CDR. Such high-quality data are produced by the Intelligent Monitoring System (IMS) and the Washington Experimental International Data Center (EIDC), and are of the type most important for investigating current problems in monitoring seismology. The IMS has been providing Category I data since October 1989. The network currently includes the NORESS, ARCESS, FINESA, and GERESS, Apatity, Spitsbergen, and Kislovodsk arrays and several three component stations throughout the Eurasian continent. Catagory I data produced by the EIDC during the UN Conference on Disarmament/Group of Scientific Experts Technical Test (1990 - 1991) is another valuable data source. About 60 globally-distributed stations contributed data during the 71-day test. Both the IMS and GSETT datasets include event solutions generated automatically by an expert system, then reviewed by an analyst and corrected when necessary. Parameter data and waveform segments for nearly all local, regional, and teleseismic events are regularly migrated from the Seismic Operations LAN to the CDR. We are also upgrading selected data from the Center's vast Category II databases to Category I quality. Our first priority has been to build a database in the CDR including all publicly known nuclear explosions. The current NUCLEAR_ALL database includes waveforms from most of the Category II databases, as well as from external sources (e.g., United Kingdom array data, hand-digitized waveforms from Soviet stations).

'Category II' includes data which are not necessarily tied to seismic events (i.e., detection-triggered or continuous waveforms) and are less extensively parameterized in the DBMS. Associated waveform data are stored on tape. The Category II archives include about 6,000 tapes with data from the Global Digital Seismic Network (the GDSN database), the Regional Seismic Test Network (RSTN), the Chinese Digital Seismic Network (CDSN), Natural Resources Defense Council stations in the Soviet Union (NRDC), IRIS stations in the Formner Soviet Union (USSR), the Norwegian arrays, and many other sources. Altogether, these tapes contain about 800 Gbytes of waveform data. Pointers to these data are maintained on-line in the CDR. The EVENTS database, updated daily in the CDR from the NEIS (recent events) and ISC bulletins, is useful as a quick reference to the Category I and II waveforms.

Fusion of these seismic data with other useful information is another focus of the Center. Such data include a growing database of seismic station parameters (locations, instrument responses, etc.), satellite imagery (from the French SPOT satellite), map graphics (color bitmaps composed from NOAA, Defense Mapping Agency, and World Database 2 datasets), mine and quarry locations, and travel-time and amplitude-distance curves.

A principal objective is to encourage the unassisted use of the Center's resources by the research community. However, this is reasonable only if users are supported with an adequate working environment and the proper tools. Much emphasis has been placed on providing software that allows users to review, select, and retrieve data from the Center archives.

At the most basic level, SQL*Plus is the Oracle tool for forming queries to relational databases in ANSI standard SQL. Once the syntax of this language is understood, the user has nearly-unlimited flexibility to browse and select data in the DBMS. The program CenterView provides X Windows and ASCII interfaces to the Center DBMS and waveform archives, using menus and forms to construct queries for the most commonly requested data. The interface permits the user to place limits on specified parameters constraining the selection of events, phase detections, waveforms, and stations. Results of the query can be reviewed on the screen with an interface that allows the user to select subsets of the results and/or to write results to a local disk in a variety of formats. Waveform data that are on-line in the CDR may be retrieved by CenterView immediately, while requests for data on tape may be generated and satisfied by the requesting party or an operator on a semi-automated basis.

An intense seismic sequence occurred in 2023 in Gorj area (Romania), part of the Central Southern Carpathians seismic zone, having a doublet as main shocks. The first one, with a local magnitude of 5.2, was recorded on February 13 at 14:58:09 UTC, and the second one, with a local magnitude of 5.7, was recorded the next day at 13:16:52 UTC. The data was processed using recordings from the Romania Seismic Network [1] and AdriaArray Temporary Network [2, 3]. This database contains the parameters of the two main shocks and over 4000 aftershocks as recorded and located up to 31/12/2023.

The table includes a column which represents the number of seismic phases used to locate the event (Nph), a column that indicates the number of seismic stations used to locate the event (Nst), and a column that specifies the number of stations used in computing the local magnitude (ML) of the event (Nmg).

During research cruise POS538, 2D seismic reflection data were collected onboard research vessel FS POSEIDON in November 2019. The profiles cover the Santorini caldera and the neighboring basins around Santorini. Some profiles were used as side survey data for IODP expedition 398 and will only be available after the IODP embargo period. The dataset consists of SEGY files with UTM coordinates stored in bytes 73 and 77 and shot points stored in byte 5. The coordinate system is UTM35 WGS84. Multi-channel seismic data of cruise POS538 were acquired with a high lateral resolution (CMP spacing of ~1.56 m). As a seismic source, we used a GI-pulser that was operated in harmonic mode with primary and secondary volumes of 45 in3. Seismic energy was recorded by multiple concatenated Geometrics GeoEel streamer segments, resulting in active streamer sections ranging from 190 m to 250 m in length. Processing comprised trace-editing, simple frequency filtering (15-1500 Hz), and multiple suppression by means of surface-related multiple elimination (SRME). This was followed by spherical divergence correction, time-variant frequency filtering, pre-stack time migration, top-muting, and white-noise removal. With a main frequency of 125 Hz, the vertical resolution can be approximated to approx. 4-8 m. For more information, see the cruise report (doi:10.3289/cr_pos538).

Data for seismic compliance in general acute care hospitals is grouped by counties. All general acute care hospital buildings are assigned a Structural Performance Category (SPC) which measures the probable seismic performance of building structural systems. Building structural systems include beams, columns, shear walls, slabs, and foundations. SPC ratings range from 1 to 5 with SPC 1 assigned to buildings that may be at risk of collapse during a strong earthquake and SPC 5 assigned to buildings reasonably capable of providing services to the public following a strong earthquake. State law requires all SPC 1 buildings to be removed from providing general acute care services by January 1, 2020, unless an approved extension has been granted, and all SPC 2 buildings to be removed from providing general acute care services by January 1, 2030. A hospital facility meets the January 1, 2030 requirements if all the general acute care buildings on campus are SPC and NPC compliant. 2030 compliant SPC ratings are either SPC 3, 4, 4D, or 5. 2030 compliant NPC ratings is NPC 5. Data is provided for both hospital facilities and hospital buildings. Data is updated approximately every two weeks.

3D Seismic Survey. Published by Department of Environment, Climate and Communications. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).This dataset contains a GIS vector polygons of 44 3D seismic survey areas underaken in seas around Ireland. Data includes contractor, line, survey Id, company, vessel, survey area name, project code and prefix details. The data has been collected in seas around Ireland including the North Atlantic Ocean, Irish Sea, Saint George's Channel and Celtic Sea. The data has been collected for the period 1982-2014. The imaging deficiencies of 2D seismic profiling were remedied by the implementation of 3D seismic data acquisition, which allows data processing to migrate reflections to their correct image coordinates in 3D space. Seismic surveys are used to produce detailed images of local geology to determine the location and size of possible oil and gas reservoirs. Data has been collated by the Petroleum Affairs Division as part of its role to maximise the benefits to the Irish State from exploration for and production (E and P) of indigenous oil and gas resources. The dataset is considered an accurate recorded representation of 3D seismic surveys completed and logged by the Petroleum Affairs Division....

The probabilistic seismic hazard maps of the Italian national territory are represented by shaking parameters on a regular grid spaced by 0.05° and using two shaking parameters, PGA (horizontal peak ground acceleration) and Sa(spectral acceleration). Maps in peak ground acceleration (PGA) are evaluated for different probabilities of exceedance in 50 years (9 probabilities, from 2% to 81%). For each evaluation it is available the distribution of the 50th percentile (median map, which is the reference map for every probability of exceedance) and the distribution of the 16th and 84th percentiles, which give the variability of each estimate. Maps in spectral acceleration (Sa) are calculated for the same probabilities of exceedance in 50 years (9 probabilities, from 2% to 81%) and for different periods (10 periods, from 0.1 to 2 seconds). Also in this case for each evaluation is available the distribution of the 50th percentile (median map, which is the reference map for every probability of exceedance) and the distribution of the 16th and 84th percentiles, which give the variability of each estimate.

The raw 2D multichannel seismic reflection data in this project were acquired during expedition SO294 offshore Vancouver Island, Canada, using two different sources, i.e. a single GI gun and a G-gun array. The data were recorded with an 184-channel streamer. The objectives of expedition SO294 were twofold: provision of geophysical images to constrain the hazard potential of the Cascadia subduction zone and to constrain the geophysical properties of the oceanic crust to assess its storage potential for carbon capture and storage (CCS). The data comprise 1660 line kilometers and are provided in raw format (SEG-D) according to standard metadata descriptions. Detailed information on the acquisition can be found in the SO294 cruise report (https://doi.org/10.48433/cr_so294). In addition, a technical report is provided with this data set.

This link provides information and additional metadata related to the USGS National Seismic Hazard Maps. A direct shapefile download is available at http://earthquake.usgs.gov/hazards/products/conterminous/2014/USpga250.zip

This set of data contains raw and Initially-processed 2D and 3D seismic data from the Utah FORGE study area near Roosevelt Hot Springs. Reprocessed versions of these data can be accessed at the linked submission in the Resources section titled "Reprocessed Seismic Reflection Data." The zipped archives numbered from 1-100 to 1001-1122 contain 3D seismic uncorrelated shot gatherers SEG-Y files. The zipped archives numbered from 1-100C to 1001-1122C contain 3D seismic correlated shot gatherers SEG-Y files. Other data have intuitive names.

This dataset is composed of GPS stations (1 file) and seismometers (1 file) multivariate time series data associated with three types of events (normal activity / medium earthquakes / large earthquakes). Files Format: plain textFiles Creation Date: 02/09/2019Data Type: multivariate time seriesNumber of Dimensions: 3 (east-west, north-south and up-down)Time Series Length: 60 (one data point per second)Period: 2001-2018Geographic Location: -62 ≤ latitude ≤ 73, -179 ≤ longitude ≤ 25Data Collection - Large Earthquakes: GPS stations and seismometers data are obtained from the archive [1]. This archive includes 29 large eathquakes. In order to be able to adopt a homogeneous labeling method, dataset is limited to the data available from the American Incorporated Research Institutions for Seismology - IRIS (14 large earthquakes remaining over 29). > GPS stations (14 events): High Rate Global Navigation Satellite System (HR-GNSS) displacement data (1-5Hz). Raw observations have been processed with a precise point positioning algorithm [2] to obtain displacement time series in geodetic coordinates. Undifferenced GNSS ambiguities were fixed to integers to improve accuracy, especially over the low frequency band of tens of seconds [3]. Then, coordinates have been rotated to a local east-west, north-south and up-down system. > Seismometers (14 events): seismometers strong motion data (1-10Hz). Channel files are specifying the units, sample rates, and gains of each channel. - Normal Activity / Medium Earthquakes: > GPS stations (255 events: 255 normal activity): High Rate Global Navigation Satellite System (HR-GNSS) normal activity displacement data (1Hz). GPS data outside of large earthquake periods can be considered as normal activity (noise). Data is downloaded from [4], an archive maintained by the University of Oregon which stores a representative extract of GPS noise. It is an archive of real-time three component positions for 240 stations in the western U.S. from California to Alaska and spanning from October 2018 to the present day. The raw GPS data (observations of phase and range to visible satellites) are processed with an algorithm called FastLane [5] and converted to 1 Hz sampled positions. Normal activity MTS are randomly sampled from the archive to match the number of seismometers events and to keep a ratio above 30% between the number of large earthquakes MTS and normal activity in order not to encounter a class imbalance issue.> Seismometers (255 events: 170 normal activity, 85 medium earthquakes): seismometers strong motion data (1-10Hz). Time series data collected from the international Federation of Digital Seismograph Networks (FDSN) client available in Python package ObsPy [6]. Channel information is specifying the units, sample rates, and gains of each channel. The number of medium earthquakes is calculated by the ratio of medium over large earthquakes during the past 10 years in the region. A ratio above 30% is kept between the number of 60 seconds MTS corresponding to earthquakes (medium + large) and total (earthquakes + normal activity) number of MTS to prevent a class imbalance issue. The number of GPS stations and seismometers for each event varies (tens to thousands). Preprocessing:- Conversion (seismometers): data are available as digital signal, which is specific for each sensor. Therefore, each instrument digital signal is converted to its physical signal (acceleration) to obtain comparable seismometers data- Aggregation (GPS stations and seismometers): data aggregation by second (mean)Variables:- event_id: unique ID of an event. Dataset is composed of 269 events.- event_time: timestamp of the event occurence - event_magnitude: magnitude of the earthquake (Richter scale)- event_latitude: latitude of the event recorded (degrees)- event_longitude: longitude of the event recorded (degrees)- event_depth: distance below Earth's surface where earthquake happened (km)- mts_id: unique multivariate time series ID. Dataset is composed of 2,072 MTS from GPS stations and 13,265 MTS from seismometers.- station: sensor name (GPS station or seismometer)- station_latitude: sensor (GPS station or seismometer) latitude (degrees)- station_longitude: sensor (GPS station or seismometer) longitude (degrees)- timestamp: timestamp of the multivariate time series- dimension_E: East-West component of the sensor (GPS station or seismometer) signal (cm/s/s)- dimension_N: North-South component of the sensor (GPS station or seismometer) signal (cm/s/s)- dimension_Z: Up-Down component of the sensor (GPS station or seismometer) signal (cm/s/s)- label: label associated with the event. There are 3 labels: normal activity (GPS stations: 255 events, seismometers: 170 events) / medium earthquake (GPS stations: 0 event, seismometers: 85 events) / large earthquake (GPS stations: 14 events, seismometers: 14 events). EEW relies on the detection of the primary wave (P-wave) before the secondary wave (damaging wave) arrive. P-waves follow a propagation model (IASP91 [7]). Therefore, each MTS is labeled based on the P-wave arrival time on each sensor (seismometers, GPS stations) calculated with the propagation model.[1] Ruhl, C. J., Melgar, D., Chung, A. I., Grapenthin, R. and Allen, R. M. 2019. Quantifying the value of real‐time geodetic constraints for earthquake early warning using a global seismic and geodetic data set. Journal of Geophysical Research: Solid Earth 124:3819-3837.[2] Geng, J., Bock, Y., Melgar, D, Crowell, B. W., and Haase, J. S. 2013. A new seismogeodetic approach applied to GPS and accelerometer observations of the 2012 Brawley seismic swarm: Implications for earthquake early warning. Geochemistry, Geophysics, Geosystems 14:2124-2142.[3] Geng, J., Jiang, P., and Liu, J. 2017. Integrating GPS with GLONASS for high‐rate seismogeodesy. Geophysical Research Letters 44:3139-3146.[4] http://tunguska.uoregon.edu/rtgnss/data/cwu/mseed/[5] Melgar, D., Melbourne, T., Crowell, B., Geng, J, Szeliga, W., Scrivner, C., Santillan, M. and Goldberg, D. 2019. Real-Time High-Rate GNSS Displacements: Performance Demonstration During the 2019 Ridgecrest, CA Earthquakes (Version 1.0) [Data set]. Zenodo.[6] https://docs.obspy.org/packages/obspy.clients.fdsn.html[7] Kennet, B. L. N. 1991. Iaspei 1991 Seismological Tables. Terra Nova 3:122–122.

AHEAD, the European Archive of Historical Earthquake Data 1000-1899, is a distributed archive aiming at preserving, inventorying and making available, to investigators and other users, data sources on the earthquake history of Europe, such as macroseismic intensity data, and parametric catalogues. AHEAD relies on independent, regionally managed data archives. At present, eight regional nodes team up in AHEAD covering Italy, France, Switzerland, Spain, Catalunya, Belgium, and Greece. Data on areas not covered by a regional archive is retrieved from the scientific literature. AHEAD inventories seismological data organized either in regional databases or in scientific papers, and does not archive historical sources (e.g. manuscripts, letters, dispatch) examined by the compilers of these studies. A great effort is being put in identifying and clearly marking fake earthquakes, i.e. events wrongly reported as earthquakes in catalogues. AHEAD can be queried by earthquake, to access the datasets related to each individual earthquake, or by data source. The query by earthquake allows the user to visualise the full earthquake list or a portion of it, filtered by time-window, magnitude class or number of intensity data, or entering a custom geographical selection. Once selected, users access all archived data on the earthquakes, such as i) parameters (e.g., location and magnitude) from the European PreInstrumental Earthquake Catalogue EPICA 1000-1899 and from all the available alternative solutions from published regional catalogues, ii) macroseismic data from supporting seismological studies, and iii) bibliographic metadata of the considered sources. The query by data source introduces the user to the list of archived seismological studies that provide data on the inventoried earthquakes. Each study can be clicked, giving access to the PDF of the original text when available or when the copyright allows for it, or a link to the publisher when the PDF is not available. For each seismological study a list of considered earthquakes and a map showing their epicentres are also shown. Following some pioneering attempts in the early 1990s, AHEAD was initiated and built up in the frame of the EC Project NERIES, Network of Research Infrastructures for European Seismology (2006 and 2010). INGV Milan coordinated the NERIES Task NA4 called “Distributed Archive of Historical Earthquake Data”, and then continued the development during the EC Project SHARE, Seismic Hazard Harmonization in Europe (2009-2012), aimed at compiling a European earthquake catalogue called SHEEC. Afterwards AHEAD has been maintained and further implemented by INGV in the framework of the EC initiative EPOS, aimed at setting up the European Plate Observing System (2010-2012) a new ERIC, European Research Infrastructure Consortium, and of the SERA Seismology and Earthquake Engineering Research Infrastructure Alliance for Europe Horizon 2020 Project. AHEAD is currently supported by the Joint Research Unit EPOS Italia funded by the Italian Ministry of University and Research and the Horizon Europe Project Geo-INQUIRE (Geosphere INfrastructures for Questions into Integrated Research). Data e Risorse Questo dataset non ha dati terremoti

Historical earthquakes recorded by Earthquakes Canada. This serie is composed of 4 earthquake datasets. Each dataset contains the earthquakes grouped by decade; 1980-1989, 1990-1999, 2000-2009, 2010-2019. However, the National Earthquake Database makes available seismic bulletin data from 1985 and onward. For a complete listing of current and historical earthquakes, visit https://www.earthquakescanada.nrcan.gc.ca/.