Longterm Shear Wave Splitting Measurements at the Black Forest Observatory

DOI

This dataset contains shear wave splitting measurements (SWSMs) on SKS and SKKS phases at the permanent broadband seismological recording station Black Forest Observatory (BFO), Germany. Splitting parameters (fast polarization direction and delay time) were obtained with the MATLAB package SplitLab (Wüstefeld et al. 2008) simultaneously applying the rotation-correlation method (Bowman & Ando 1987) and the energy minimization method (Silver & Chan 1991). Only single-event analysis SWSMs of good and fair qualities are reported. Information of the used earthquakes are included. CSV as well as PDF files are provided. Details can be found in the README. The dataset is related to the publication Ritter, J. R. R., Fröhlich, Y., Sanz Alonso, Y. & Grund, M. (2022). Short-scale laterally varying SK(K)S shear wave splitting at BFO, Germany – implications for the determination of anisotropic structures. Journal of Seismology. https://doi.org/10.1007/s10950-022-10112-w, https://doi.org/10.1007/s10950-023-10136-w..

Black Forest Observatory (BFO) (1971). Black Forest Observatory Data. GFZ Data Services. https://doi.org/10.5880/BFO.

Identifier
DOI https://doi.org/10.35097/684
Related Identifier IsPublishedIn https://doi.org/10.1007/s10950-022-10112-w
Related Identifier IsPublishedIn https://doi.org/10.1007/s10950-023-10136-w
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/684
Provenance
Creator Fröhlich, Yvonne ORCID logo; Ritter, Joachim R. R. ORCID logo; Sanz Alonso, Yasmin; Grund, Michael ORCID logo
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2022
Funding Reference JR: Deutsche Forschungsgemeinschaft (DFG) Other grant RI1133/13-1 ; YF: Funding from the German States (Landesgraduiertenförderung (LGF)) Other scholarship
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Natural Sciences; Physics
Spatial Coverage (8.330 LON, 48.331 LAT); GERMANY