Pigments, sequential extraction (P, Fe, Mn), pollen and CNS measurements from sediment core UBE22-COMP1 of lake Übeschi, Switzerland

DOI

What: This table contains all low resolution data accompanying Schmidhauser et al., 2026 in prep. The data contains sequentially extracted fractions of P, Fe and Mn, Pigment measurements, pollen and CNS data on a 1-cm resolution. Pigment data includes both photopigments (e.g. Chl-a etc.) and carotenoid biomarkers (e.g. Alloxanthin).When: The age spans 17 ka BP - 11 ka BP; The age - depth relationship is establish by bayesian modeling of 9 14C dates, 1 tephra and 5 biostratigraphical markers; data were attained between October 2023-June 2024.Where: All analytical data were attained from a sediment core taken in Übeschisee (46°44′ 04'' N, 07°33′ 54'' E, 641 m.a.s.l.); a shallow (17.7 m deep) kettle hole lake on the Swiss plateau. Context of the findings is Swiss plateau & Central Alpine Europe.The data was collected to get a comprehensive understanding of the interaction between, algal communities, anoxia, temperature and total trophic productivity. Data was collected from UBE22-1e, Measured using ICP-MS and HPLC-DAD.

Identifier
DOI https://doi.pangaea.de/10.1594/PANGAEA.993109
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.993109
Provenance
Creator Schmidhauser, Noé Raymond Marie Marcel ORCID logo; Schouten, Stan Jonah; Zahajská, Petra ORCID logo; Lami, Andrea ORCID logo; van Leeuwen, Jacqueline F N; Tjallingii, Rik ORCID logo; Vogel, Hendrik ORCID logo; Grosjean, Martin ORCID logo
Publisher PANGAEA
Contributor van Leeuwen, Jaqueline F N
Publication Year 2026
Funding Reference Swiss National Science Foundation https://doi.org/10.13039/501100001711 Crossref Funder ID 204220 https://data.snf.ch/grants/grant/204220 Biochemical responses of lakes to rapid climate transitions across space and time: insights from novel high-resolution analyses of sediments from Europe and Northern China
Rights Creative Commons Attribution 4.0 International; Data access is restricted (moratorium, sensitive data, license constraints); https://creativecommons.org/licenses/by/4.0/
OpenAccess false
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 2624 data points
Discipline Earth System Research
Spatial Coverage (7.565 LON, 46.734 LAT); Swiss Plateau