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Dataset . 2021
License: CC BY
Data sources: Sygma
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Dataset . 2021
License: CC BY
Data sources: Datacite
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Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31

Authors: Steed, Robert; Bossu, Remy; Finazzi, Francesco; Bondár, István; Fallou, Laure;

Analysis of Detections by the Earthquake Network App between 2017-12-15 and 2020-01-31

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.

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

Keywords

Earthquake Network, EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > EARTHQUAKES, In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS > IRIS-GSN, geological process > seismic activity > earthquake, seismic waves, ground motion, In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS > SEISMOLOGICAL STATIONS, safety > safety system > warning system > early warning system, smartphone, In Situ Land-based Platforms > GEOPHYSICAL STATIONS/NETWORKS > FDSN, strong motion, monitoring > seismic monitoring, citizen science, accelerometry, seismic surface waves, EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES > SEISMIC PROFILE > SEISMIC SURFACE WAVES, earthquakes, EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES > EARTHQUAKE OCCURRENCES

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average