Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences –Bulk Geochemical and Granulometric data

doi:doi:10.1594/PANGAEA.940558

Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences –Bulk Geochemical and Granulometric data

In this study, we present a granulometric- and geochemical dataset for the Schwalbenberg Loess-Palaeosol-Sequence (LPS) in the Middle Rhine Valley (Germany) that covers the Upper Pleistocene in a resolution so far unprecedented for continental records in western Central Europe. Complexities in formation of loess deposits cause interfering geochemical signatures (e.g., provenance- vs. weathering- signals) limiting a straight-forward interpretation. In this context we used multivariate statistics that integrate information on grainsize (Laser Diffraction Particle Sizer) and geochemistry (XRF, ICP-OES) indicative for provenance shifts, mineral sorting during transport and reworking and weathering into Principal Component Analyses and Linear Discriminant Analyses. Our approach provides a key for tracing ecological changes throughout climate oscillations across continents.

BibTex:

@dataset{Vinnepand_Mathias_and_Fischer_Peter_and_Jöris_Olaf_and_Hambach_Ulrich_and_Zeeden_Christian_and_Schulte_Philipp_and_Fitzsimmons_Kathryn_E_and_Prud'homme_Charlotte_and_Perić_Zoran_and_Schirmer_Wolfgang_and_Lehmkuhl_Frank_and_Fiedler_Sabine_and_Vött_Andreas_2022,
    abstract = {In this study, we present a granulometric- and geochemical dataset for the Schwalbenberg Loess-Palaeosol-Sequence (LPS) in the Middle Rhine Valley (Germany) that covers the Upper Pleistocene in a resolution so far unprecedented for continental records in western Central Europe. Complexities in formation of loess deposits cause interfering geochemical signatures (e.g., provenance- vs. weathering- signals) limiting a straight-forward interpretation. In this context we used multivariate statistics that integrate information on grainsize (Laser Diffraction Particle Sizer) and geochemistry (XRF, ICP-OES) indicative for provenance shifts, mineral sorting during transport and reworking and weathering into Principal Component Analyses and Linear Discriminant Analyses. Our approach provides a key for tracing ecological changes throughout climate oscillations across continents.},
    author = {Vinnepand, Mathias and Fischer, Peter and Jöris, Olaf and Hambach, Ulrich and Zeeden, Christian and Schulte, Philipp and Fitzsimmons, Kathryn E and Prud'homme, Charlotte and Perić, Zoran and Schirmer, Wolfgang and Lehmkuhl, Frank and Fiedler, Sabine and Vött, Andreas},
    doi = {10.1594/PANGAEA.940558},
    institution = {PANGAEA (Agriculture)},
    keyword = {'Climate changes', 'Dust composition', 'Geochemistry', 'Loess', 'Multivariate statistical analysis', 'Upper Pleistocene', 'Weathering'},
    title = {Decoding geochemical signals of the Schwalbenberg Loess-Palaeosol-Sequences –Bulk Geochemical and Granulometric data},
    url = {https://service.tib.eu/ldmservice/vdataset/png-doi-10-1594-pangaea-940558},
    year = {2022}
}