{"id":71,"date":"2021-11-22T08:25:58","date_gmt":"2021-11-22T08:25:58","guid":{"rendered":"https:\/\/eensane.infp.ro\/?page_id=71"},"modified":"2023-11-13T10:30:20","modified_gmt":"2023-11-13T10:30:20","slug":"database","status":"publish","type":"page","link":"https:\/\/eensane.infp.ro\/?page_id=71","title":{"rendered":"Datasets"},"content":{"rendered":"

We are working on providing the scientific community with freely available virtual earthquake data. Each seismic station in Eastern Europe is turned into a virtual seismic source, via cross correlation and stacking of ambient seismic noise at pairs of seismic receivers.<\/p>\n

A folder with all inter-station cross-correlations in SAC (Seismic Analysis Code) format can be downloaded at the following link: https:\/\/infp.infp.ro\/~felix\/EENSANE_cross-correlations\/ <\/a>. Be advised that the size of this folder is 4.3G. Clicking on this link will not automatically start the download. It will take you to a directory where you can select the compressed file EENSANE_cross-correlations.tar.gz for download.<\/p>\n

Our data processing flow largely follows the procedure of Bensen et al. (2007) with a few changes. Please see our papers Petrescu et al. (2023) and Borleanu et al. (2023) for more details. The main ambient noise processing steps are:<\/p>\n

    \n
  1. Continuous ambient noise ground motion data is cut in daily records<\/li>\n
  2. Mean and trend removed<\/li>\n
  3. Instrument response removed<\/li>\n
  4. Broadband filter 0.003-2.4 Hz applied<\/li>\n
  5. Seismograms are de-signaled with CWT (Yang et al., 2020)<\/li>\n
  6. Data are cut in 2 hour segments and cross-correlated at simultaneous pairs of stations<\/li>\n
  7. Cross-correlations are stacked<\/li>\n
  8. Inter-station cross-correlograms are de-noised with CWT<\/li>\n<\/ol>\n
    \"\"

    Inter-station cross-correlation paths for seismic stations in Eastern Europe<\/p><\/div>\n

    \"\"

    Seismic stations in Eastern Europe operating in 1999 (orange), 2005-2008 (yellow), 2009-2011 (pink) and 2020 (blue)<\/p><\/div>\n

    \"\"

    Cross-correlograms recorded at seismic stations in Eastern Europe as if seismic station MLR in Romania was a virtual impulsive source<\/p><\/div>\n

    From the cross-correlation data, we extracted Rayleigh wave phase velocity dispersion curves using an automatic Bessel-analogue algorithm (K\u00e4stle et al., 2016).<\/p>\n

    A folder with all our dispersion curve data, used for seismic tomography (Petrescu et al., 2023) can be found at the following link: https:\/\/infp.infp.ro\/~felix\/EENSANE_phase_vel_curves\/<\/a> . The folder size is 2.4 Mb.<\/p>\n

    Bibliography:<\/strong><\/p>\n

    Bensen, G.D., Ritzwoller, M.H., Barmin, M.P., Levshin, A.L., Lin, F., Moschetti, M.P., Shapiro, N.M. and Yang, Y., 2007. Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements. Geophysical Journal International<\/i>, 169<\/i>(3), pp.1239-1260.<\/p>\n

    Borleanu, F., Petrescu, L., Placinta, A.O., Magrini, F., Grecu, B., Radulian, M. and De Siena, L., 2023. Seismic attenuation tomography of Eastern Europe from ambient seismic noise analysis. Geophysical Journal International, p.ggad408.<\/p>\n

    K\u00e4stle, E.D., Soomro, R., Weemstra, C., Boschi, L. and Meier, T., 2016. Two-receiver measurements of phase velocity: cross-validation of ambient-noise and earthquake-based observations. Geophysical Journal International, 207(3), pp.1493-1512.<\/p>\n

    Petrescu, L., Borleanu, F., K\u00e4stle, E., Stephenson, R., Pl\u0103cint\u0103, A. and Liashchuk, O.I., 2024. Seismic structure of the Eastern European crust and upper mantle from probabilistic ambient noise tomography. Gondwana Research, 125, pp.390-405.<\/p>\n

    Yang, Y., Liu, C. and Langston, C.A., 2020. Processing seismic ambient noise data with the continuous wavelet transform to obtain reliable empirical Green’s functions. Geophysical Journal International<\/i>, 222<\/i>(2), pp.1224-1235.<\/p>\n","protected":false},"excerpt":{"rendered":"

    We are working on providing the scientific community with freely available virtual earthquake data. Each seismic station in Eastern Europe is turned into a virtual seismic source, via cross correlation and stacking of ambient seismic noise at pairs of seismic receivers. A folder with all inter-station cross-correlations in SAC (Seismic Analysis Code) format can be […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-71","page","type-page","status-publish","hentry","post"],"_links":{"self":[{"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=\/wp\/v2\/pages\/71","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=71"}],"version-history":[{"count":10,"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=\/wp\/v2\/pages\/71\/revisions"}],"predecessor-version":[{"id":126,"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=\/wp\/v2\/pages\/71\/revisions\/126"}],"wp:attachment":[{"href":"https:\/\/eensane.infp.ro\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=71"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}