Data Publications

Geochemical data of melt-bearing impact breccia (suevite) from the research drill core FBN 73 of the Ries impact crater, Germany

hasData_Center_Short_Name
  • Deutsches GeoForschungsZentrum GFZ
hasDataset_Online_Resource
hasDataset_Release_Date
  • 2017
hasDataset_Title
  • Geochemical data of melt-bearing impact breccia (suevite) from the research drill core FBN 73 of the Ries impact crater, Germany
hasEntry_ID
  • 10.5880/fidgeo.2017.002
hasKeyword
  • X-ray fluorescence
  • Ries impact crater
  • geochemistry
  • melt-bearing impact breccia
  • suevite
hasSummary
  • This data set comprises XRF (89 samples) and ICP-AES/ICP-MS (12 samples) major and trace element geochemistry of melt-bearing impact breccia (suevite) samples of the research drill core FBN 73 of the Ries impact crater in Southern Germany. The 1,206 m deep drilling in the central part of the Ries impact crater, carried out in 1973 (Bayerisches Geologisches Landesamt 1974), provided insights into the origin and distribution of suevite and into the development of the post-impact Ries lake with redeposited suevitic sediments at its base (Stöffler et al. 2013). The suevite is divided into five sequences, (1) dike suevite 1186-602 m, (2) melt-rich suevite 602-525 m, (3) melt-rich suevite 525-331 m, (4) graded suevite 331-314 m, and (5) reworked suevite 314-257 m (Stöffler et al., 2013 and references therein). The drill core FBN 73 is stored and accessible at the Zentrum für Rieskrater- und Impaktforschung Nördlingen (Centre for Ries Crater Impact Research, ZERIN) and supplies the best available complete profile through the Ries crater suevite. The data are supplementary material to Siegert et al. (2017, http://doi.org/10.1130/G39198.1) and are supplemented by geochemical data of crystalline target lithologies of the Ries impact crater (Schmitt et. al, 2017; http://doi.org/10.5880/fidgeo.2017.001). Averages of two consecutive melt-rich and melt-poor suevite samples are plotted in Siegert, et al. (2017). More information about sample preparation, methodology as well as detection limits, standards used and precision expectations are given in the Explanatory File.
GCMD Sciencekeywords describing the dataset. Click on Keyword to find similar datasets