DAS-VSP Data from the Feb. 2017 Survey at the Groß Schönebeck Site, Germany

DOI

This data publication contains vertical seismic profiling (VSP) data collected at the Groß Schönebeck site, Germany, from February 15-18, 2017. Energy excitation was performed with vibroseis sources. Data was acquired in the two 4.3 km deep wells E GrSk 3/90 and Gt GrSk4/05 using hybrid wireline fiber-optic sensor cables and distributed acoustic sensing (DAS) technology. The survey design and data acquisition, the overall characteristics of the acquired data, as well as the data processing and evaluation for a zero-offset source position are described in the paper of Henninges et al. (2021) published in Solid Earth. The data for several source positions presented in this paper is contained here, mostly in the form of full waveform data stored in seg-y format. A detailed description of the individual data sets is given in the attached data description document.

Identifier
DOI https://doi.org/10.5880/GFZ.4.8.2021.001
Related Identifier https://doi.org/10.5194/se-12-521-2021
Related Identifier https://doi.org/10.48440/GFZ.B103-02140
Related Identifier https://doi.org/10.1190/1.1444574
Related Identifier https://seg.org/Portals/0/SEG/News%20and%20Resources/Technical%20Standards/seg_y_rev1.pdf
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7048
Provenance
Creator Henninges, Jan ORCID logo; Martuganova, Evgeniia (ORCID: 0000-0003-4261-074X); Stiller, Manfred; Norden, Ben ORCID logo; Krawczyk, Charlotte M. ORCID logo
Publisher GFZ Data Services
Contributor Henninges, Jan; Martuganova, Evgeniia; Stiller, Manfred; Norden, Ben; Krawczyk, Charlotte M.
Publication Year 2021
Funding Reference Bundesministerium für Wirtschaft und Energie, 0324065; Horizon 2020 Framework Programme, 691728; Horizon 2020 Framework Programme, 676564
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Henninges, Jan (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Acoustics; Economics; Engineering Sciences; Mechanical and industrial Engineering; Mechanics and Constructive Mechanical Engineering; Social and Behavioural Sciences
Spatial Coverage (13.589W, 52.893S, 13.634E, 52.910N)
Temporal Coverage Begin 2017-02-15T00:00:00Z
Temporal Coverage End 2017-02-18T00:00:00Z