10.5880/fidgeo.2021.001 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2021-09-20 urn:ogc:def:crs:EPSG:4326 A Questionnaire Survey of the Earthquake Network App's Users in Peru Following an M8 Earthquake in 2019. 2021-09-20 revision 2021-02-10 creation doi:10.5880/fidgeo.2021.001 Fallou, Laure European-Mediterranean Seismological Centre (EMSC), Bruyères-le-Châtel, France author Bossu, Rémy European-Mediterranean Seismological Centre (EMSC), Bruyères-le-Châtel, France author Steed, Robert European-Mediterranean Seismological Centre (EMSC), Bruyères-le-Châtel, France author Finazzi, Francesco Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy author Bondár, István ELKH Research Centre for Astronomy and Earth Sciences, Geodetic and Geophysical Institute, Budapest, Hungary author GFZ Data Services publisher The 'Earthquake Network’ (EQN) is an app which detects earthquakes by creating an ad-hoc network of smartphone's accelerometer sensors and provides early warnings of earthquakes via the same smartphone app. The EMSC (Euro-Mediterranean Seismological Centre) and the University of Bergamo conducted an online survey, following an earthquake of magnitude M8 on 2019-05-26 07:41:13.6 UTC in Northern Peru with epicentre (5.81S, 75.27W). This survey targeted EQN users in the felt area of the earthquakes and was conducted from 2019-07-23 to 2019-08-18. It aimed at assessing users’ understanding and reaction to the EQN early warning for this specific earthquake. The questionnaire was written in Spanish since it is the most commonly spoken language in the studied area. Individuals who use the app in Spanish were invited to complete the survey via an advertisement on the Earthquake Network app. A PDF containing the questionnaire and the relationship between the questions is included in this archive. 3805 respondents took the survey, including 2 719 that were actually in the area at the time. The analysis Results derived from this dataset will be included as part of a submitted Science article (Bossu et al. '“Shaking in 5 seconds!” A Voluntary Smartphone-based Earthquake Early Warning System', 2021) to show that respondents received notifications from the Earthquake Network App before feeling the shaking but also that many did not immediately “drop, hold and cover' and were too intent on warning those close to them of the impending danger. All respondents consented that their data could be used for research purposes. The EMSC and University of Bergamo made sure not to collect or diffuse personal data. The dataset is a zip-file that contains the questionnaire responses as a comma-separated text file (csv) and a pdf containing a representation of the questionnaire that was presented to respondents. Fallou, Laure European-Mediterranean Seismological Centre (EMSC) Sociologist laure.fallou@emsc-csem.org https://www.emsc-csem.org informtion pointOfContact Bossu, Rémy European-Mediterranean Seismological Centre (EMSC) EMSC Secretary General Remy.Bossu@cea.fr https://www.emsc-csem.org informtion pointOfContact earthquake early warning seismology social risk communication survey EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS > EARTHQUAKES NASA/GCMD Earth Science Keywords publication geological process > seismic activity > earthquake safety > risk assessment > risk communication safety > risk assessment > risk perception safety > risk assessment > risk reduction safety > safety system > warning system > early warning system science > human science > social science > sociology GEMET - INSPIRE themes, version 1.0 publication CC BY 4.0 CC BY 4.0 10.1785/0220210180 DOI IsSupplementTo 10.5880/fidgeo.2021.002 DOI IsContinuedBy 10.5880/fidgeo.2021.007 DOI IsContinuedBy eng geoscientificInformation Online Questionnaire Survey of users of the EQN app in Peru following an M8 earthqauke -82.5952 -68.1372 -18.8543 1.05463 2019-07-23 2019-08-19 http://doi.org/10.5880/fidgeo.2021.001 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information