10.5880/fidgeo.2021.007 Steed, Robert Robert Steed 0000-0002-2427-2997 European-Mediterranean Seismological Centre (EMSC) Bossu, Remy Remy Bossu 0000-0002-9927-9122 European-Mediterranean Seismological Centre (EMSC) Finazzi, Francesco Francesco Finazzi 0000-0002-1295-7657 Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy Bondár, István István Bondár 0000-0002-4892-1074 ELKH Research Centre for Astronomy and Earth Sciences, Geodetic and Geophysical Institute, Budapest, Hungary Fallou, Laure Laure Fallou 0000-0002-0245-6197 European-Mediterranean Seismological Centre (EMSC) Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31 GFZ Data Services 2021 Earthquake Network earthquakes strong motion seismic waves smartphone citizen science seismic surface waves accelerometry ground motion EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > EARTHQUAKES EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES > EARTHQUAKE OCCURRENCES EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES > SEISMIC PROFILE > SEISMIC SURFACE WAVES geological process > seismic activity > earthquake In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS > FDSN In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS > IRIS-GSN In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS > SEISMOLOGICAL STATIONS monitoring > seismic monitoring safety > safety system > warning system > early warning system Steed, Robert Robert Steed 0000-0002-2427-2997 European-Mediterranean Seismological Centre (EMSC) Steed, Robert Robert Steed 0000-0002-2427-2997 European-Mediterranean Seismological Centre (EMSC) Steed, Robert Robert Steed 0000-0002-2427-2997 European-Mediterranean Seismological Centre (EMSC) Bossu, Remy Remy Bossu 0000-0002-9927-9122 European-Mediterranean Seismological Centre (EMSC) Finazzi, Francesco Francesco Finazzi 0000-0002-1295-7657 Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy Bondár, István István Bondár 0000-0002-4892-1074 ELKH Research Centre for Astronomy and Earth Sciences, Geodetic and Geophysical Institute, Budapest, Hungary Fallou, Laure Laure Fallou 0000-0002-0245-6197 European-Mediterranean Seismological Centre (EMSC) Steed, Robert European-Mediterranean Seismological Centre (EMSC) Bossu, Rémy European-Mediterranean Seismological Centre (EMSC) 2021-05-01 2021-01-10 2017-12-15/2020-01-31 Dataset 10.1785/0220210180 10.5880/fidgeo.2021.001 10.5880/fidgeo.2021.002 10.7914/SN/IU 10.7914/SN/C1 10.13127/sd/x0fxnh7qfy 10.1007/s10950-012-9278-7 10.1785/0120140178 10.1007/s00477-016-1240-8 10.1111/j.1365-246X.1995.tb03540.x 10.1088/1749-4699/8/1/014003 10.1785/0220150127 0.9 CC BY 4.0 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.
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.
2021_xxxx_steed-et-al_D1_usa_chl_ita.csv
2021_xxxx_steed-et-al_D2_mag_gt_4.5.csv
worldwide -150 122 -36 62 Horizon 2020 Framework Programme http://doi.org/10.13039/100010661 821046 TURNKEY