Seismic Recordings for SMARTIE1: Seismic Monitoring And Research of Wind Turbine Induced Emissions 1

DOI

SMARTIE1 is a joint seismological experiment of the Karlsruhe Institute of Technology (KIT) and the Leipzig University. We installed in total 36 seismic stations as ring-like and profile-like measurements near to a single wind turbine (WT) at the Fraunhofer Institute for Chemical Technology (ICT) in Pfinztal, SW Germany, for 21 days. The main goals of this project are a better understanding of a single WT as a seismic source and the development of propagation models for the WT-induced seismic signals, depending on the geological properties. Waveform data are available from the GEOFON data centre, under network code X8 (under CC-BY 4.0 license according to GIPP-rules).

Identifier
DOI https://doi.org/10.14470/K37563128245
Related Identifier Cites https://doi.org/10.1093/gji/ggv291
Related Identifier Cites https://doi.org/10.1002/ggge.20251
Related Identifier HasMetadata https://geofon.gfz-potsdam.de/waveform/archive/response/X8/2018_2019
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6741
Provenance
Creator Zieger, Toni ORCID logo; Lerbs, Nikolaus; Ritter, Joachim R.R. ORCID logo; Korn, Michael ORCID logo
Publisher GFZ Data Services
Contributor Deutsches GeoForschungsZentrum GFZ; GEOFON Data Centre; geofon(at)gfz-potsdam.de; Geophysical Instrument Pool Potsdam (GIPP); Karlsruhe Institute of Technology KIT, Geophysical Institute GPI, Karlsruhe, Germany; Leipzig University, Institute for Geophysics and Geology, Leipzig, Germany
Publication Year 2019
Funding Reference Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ https://doi.org/10.13039/501100010956 Crossref Funder ID GIPP201818 https://gipp.gfz-potsdam.de/projects/landing/201818
Rights Creative Commons Attribution 4.0 International; 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 30GB
Discipline Seismology
Spatial Coverage (7.000W, 48.000S, 9.000E, 50.000N); Pfinztal, Germany