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

DOI

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.

Identifier
DOI https://doi.org/10.1594/PANGAEA.940558
Related Identifier https://doi.org/10.1016/j.catena.2022.106076
Related Identifier https://doi.org/10.1016/j.catena.2020.104913
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.940558
Provenance
Creator Vinnepand, Mathias ORCID logo; Fischer, Peter ORCID logo; Jöris, Olaf ORCID logo; Hambach, Ulrich ORCID logo; Zeeden, Christian ORCID logo; Schulte, Philipp (ORCID: 0000-0001-8956-669X); Fitzsimmons, Kathryn E ORCID logo; Prud'homme, Charlotte (ORCID: 0000-0002-1417-033X); Perić, Zoran ORCID logo; Schirmer, Wolfgang; Lehmkuhl, Frank ORCID logo; Fiedler, Sabine ORCID logo; Vött, Andreas ORCID logo
Publisher PANGAEA
Publication Year 2022
Funding Reference German Science Foundation https://doi.org/10.13039/501100001659 Crossref Funder ID 337232800 https://gepris.dfg.de/gepris/projekt/337232800 Terrestrial system response to North Atlantic climate oscillations during the last glacial cycle: high resolution loess-palaeosol sequences from Remagen-Schwalbenberg (Middle Rhine Valley, Germany) – TerraClime
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format text/tab-separated-values
Size 7857 data points
Discipline Earth System Research
Spatial Coverage (7.240 LON, 50.562 LAT)