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Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0 ← back Released Dataset Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31 Cite as: Copy citation to clipboard Steed, Robert; Bossu, Remy; Finazzi, Francesco; Bondár, István; Fallou, Laure (2021): Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31. V. 0.9. GFZ Data Services. https://doi.org/10.5880/fidgeo.2021.007 Status I N R E V I E W : Steed, Robert; Bossu, Remy; Finazzi, Francesco; Bondár, István; Fallou, Laure (2021): Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31. V. 0.9. GFZ Data Services. https://doi.org/10.5880/fidgeo.2021.007
Abstract The 'Earthquake Network’ (EQN) is an app which detects earthquakes by creating an ad-hoc network of smartphones' accelerometer sensors and provides early warnings for earthquakes via the same smartphone app. Detections are not due to individual smartphone measurements but due to near-simultaneous trigger signals from clusters of smartphones running the app. Therefore detections are normally located in the closest populated regions to an earthquake's epicentre. These datasets compare sets of detections with the earthquake parameters published by seismic institutes in order to analyse the performance of the EQN network.
One dataset contains 550 detections made by EQN between 2017-12-15 and 2020-01-31 in Chile, USA and Italy. Wherever possible, each detection was associated with an earthquake from the parameter catalogue of each country's seismic institute (CSN for Chile, USGS for USA and INGV for Italy). Associations were carried out automatically but also checked manually.
The other dataset contains 134 detections from around the world that could be associated to earthquakes with magnitude ≥ M5 or magnitude ≥ M4.5 in Italy and the USA. There are 68 detections that are common to the first dataset. All detections were associated to parameters from the the USGS earthquake parameter catalogue for consistency.
2021_xxxx_steed-et-al_D1_usa_chl_ita.csv
2021_xxxx_steed-et-al_D2_mag_gt_4.5.csv
Methods Earthquake parameters were retrieved from the seismic institutes via the FDSN protocol. The two datasets are encoded in csv files using ',' delimiters and with headers on the first row. Additional material is included to explain the contents of each column.
Authors Steed, Robert ;European-Mediterranean Seismological Centre (EMSC)Bossu, Remy ;European-Mediterranean Seismological Centre (EMSC)Finazzi, Francesco ;Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, ItalyBondár, István ;ELKH Research Centre for Astronomy and Earth Sciences, Geodetic and Geophysical Institute, Budapest, HungaryFallou, Laure ;European-Mediterranean Seismological Centre (EMSC)Contact Contributors Bossu, Rémy
Funders Horizon 2020 Framework Programme:
TURNKEY (821046)
Keywords Earthquake Network, earthquakes, strong motion, seismic waves, smartphone, citizen science, seismic surface waves, accelerometry, ground motion, geological process > seismic activity > earthquake, monitoring > seismic monitoring, safety > safety system > warning system > early warning system More Metadata datacite:
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The two datasets are encoded in csv files using ',' delimiters and with headers on the first row. Additional material is included to explain the contents of each column. schema.org
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