DARE: Dense ARray for seismic site effect Estimation

DOI

The project DARE proposes an integrated study of seismic site effects on the deep and elongated Messinian Rhône Canyon (French Rhône Valley). Lithological information from boreholes reaching the bedrock and preliminary geophysical campaigns indicate that the canyon can reach locally >500 m and may be deeply incised. The strong material contrast between the sedimentary filling and the substratum, as well as its expected confined geometry make this canyon a good candidate for generating various kinds of multi-dimensional site effects. Waveform data are available from the GEOFON data centre, under network code Y7.

Identifier
DOI https://doi.org/10.14470/L27575187372
Related Identifier IsDocumentedBy https://doi.org/10.1785/0220220244
Related Identifier HasMetadata https://geofon.gfz-potsdam.de/waveform/archive/response/Y7/2020_2021
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7168
Provenance
Creator Pilz, Marco (ORCID: 0000-0002-8575-579X); Cotton, Fabrice ORCID logo; Ohrnberger, Matthias ORCID logo; Froment, Berenice ORCID logo
Publisher GFZ Data Services
Contributor Deutsches GeoForschungsZentrum GFZ; GEOFON Data Centre; geofon(at)gfz-potsdam.de; Geophysical Instrument Pool Potsdam (GIPP); University Potsdam, Potsdam, Germany; Institut de radioprotection et de Sûreté Nucléaire, IRSN, France
Publication Year 2021
Funding Reference Deutsche Forschungsgemeinschaft DFG https://doi.org/10.13039/501100001659 Crossref Funder ID CO1315/1-1 ; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ https://doi.org/10.13039/501100010956 Crossref Funder ID GIPP202009 https://gipp.gfz-potsdam.de/projects/landing/202009
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 472GB
Discipline Seismology
Spatial Coverage (4.000W, 44.000S, 5.000E, 45.000N); France