INDEPTH IV passive

DOI

As part of the INDEPTH IV passive-source experiment from May 2007 until October 2008, 50 broadband seismographs (35 from GIPP, Germany and 15 from SEIS-UK) were deployed along two profiles across the Kunlun mountains and the Jinsha river suture in northeast Tibet. The aims of the project are to determine the crust and upper mantle structure beneath northeast Tibet, detect the sharpness of any steps in major crustal boundaries (e.g. Moho) and detect how deep major faults penetrate in order to examine the viability of the crustal flow hypothesis. The data from the 35 GIPP seismographs are archived at GEOFON at https://geofon.gfzpotsdam.de/waveform/archive/network.php?ncode=XO The data from the 15 SEIS-UK seismographs are archived at the IRIS-DMC at http://ds.iris.edu/mda/XO?timewindow=2007-2009. Waveform data are available from the GEOFON data centre, under network code XO.

Identifier
DOI https://doi.org/10.14470/KB005295
Related Identifier HasMetadata https://geofon.gfz-potsdam.de/waveform/archive/response/XO/2007_2008
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7856
Provenance
Creator Mechie, James ORCID logo
Publisher GFZ Data Services
Contributor Deutsches GeoForschungsZentrum GFZ; GEOFON Data Centre; geofon(at)gfz-potsdam.de; Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Germany
Publication Year 2008
Funding Reference DFG - Deutsche Forschungsgemeinschaft https://doi.org/10.13039/501100001659 Crossref Funder ID 5381748 ; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ https://doi.org/10.13039/501100010956 Crossref Funder ID GIPP200711 https://gipp.gfz-potsdam.de/projects/landing/200711 ; NSFEAR-CD-0409939 ; CGS-1212010511809 China
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 180GB
Discipline Seismology
Spatial Coverage (92.000W, 34.000S, 95.000E, 37.000N); Tibet