SMARTnet : Seismic Monitoring of the Armutlu Fault Zone

DOI

This field campaign aimed at densifying the station coverage on the Armutlu Peninsula in the eastern Sea of Marmara. The Armutlu peninsula is directly crossed by the Armutlu fault, located roughly ~50 km away from the Istanbul metropolitan region. The main objective of this experiment is to characterize the seismic and aseismic deformation of this region. Waveform data are available from the GEOFON data centre, under network code 9P.

Identifier
DOI https://doi.org/10.14470/4C7564613852
Related Identifier IsCitedBy https://doi.org/10.1785/0220210047
Related Identifier HasMetadata https://geofon.gfz-potsdam.de/waveform/archive/response/9P/2019_2020
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7351
Provenance
Creator Martínez-Garzón, Patricia ORCID logo; Bohnhoff, Marco (ORCID: 0000-0001-7383-635X); Turkmen, Taylan; Nurlu, Murat
Publisher GFZ Data Services
Contributor Deutsches GeoForschungsZentrum GFZ; GEOFON Data Centre; geofon(at)gfz-potsdam.de; Geophysical Instrument Pool Potsdam (GIPP); German Research Centre for Geosciences GFZ, Potsdam, Germany; Disaster and Emergency Management Presidency (AFAD Turkey); Virginie Durand; Stephan Bentz
Publication Year 2022
Funding Reference Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ https://doi.org/10.13039/501100010956 Crossref Funder ID GIPP201819 https://gipp.gfz-potsdam.de/projects/landing/201819 ; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ https://doi.org/10.13039/501100010956 Crossref Funder ID GIPP201921 https://gipp.gfz-potsdam.de/projects/landing/201921 ; Helmholtz Association in the frame of the Young Investigators Group VH-NG-1232 (SAIDAN)
Rights embargoed access; Creative Commons Attribution 4.0 International; https://vocabularies.coar-repositories.org/access_rights/c_f1cf/; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact geofon(at)gfz-potsdam.de
Representation
Language English
Resource Type Seismic Network; Dataset
Format .mseed; XML
Size 666GB
Discipline Seismology
Spatial Coverage (28.500W, 40.000S, 29.500E, 41.000N); Armutlu