Pigments, sequential extraction, and CNS measurements of Amsoldingersee sediment core, Switzerland
Data Publisher for Earth & Environmental Science
This table contains all low-resolution data accompanying Schouten et al., 2025 in prep. All analytical data were attained from a sediment core taken in Amsoldingersee (46°43'N; 07°34'E; 641 m.a.s.l.); endorheic, small (38 ha; 13 m deep) lake in the Aare valley, located in the Swiss Plateau. The data was collected to get a comprehensive understanding of the interaction between, algal communities, anoxia, temperature and total trophic productivity in the timeframe 11 ka BP - 17 ka BP. The age-depth relationship is established with a Bayesian model blending 9 14C dates, 3 biostratigraphical markers, and the Laacher see ash layer. […]
This table contains all low-resolution data accompanying Schouten et al., 2025 in prep. All analytical data were attained from a sediment core taken in Amsoldingersee (46°43'N; 07°34'E; 641 m.a.s.l.); endorheic, small (38 ha; 13 m deep) lake in the Aare valley, located in the Swiss Plateau. The data was collected to get a comprehensive understanding of the interaction between, algal communities, anoxia, temperature and total trophic productivity in the timeframe 11 ka BP - 17 ka BP. The age-depth relationship is established with a Bayesian model blending 9 14C dates, 3 biostratigraphical markers, and the Laacher see ash layer. The data contains sequentially extracted fractions of P, Fe and Mn, pigment measurements, pollen and CNS data from 1-cm sediment subsamples. Data were attained between January-August 2023. Sediments were collected using a piston corer in 3m segments (UWITEC - style). The sediment cores were cut in 1m pieces and subsampled. Pigments were extracted from ~1 ml (~1.2 g) of wet bulk sediment using 2.5 ml of 100 % HPLC-grade acetone. 100 μl of pigment extract was analysed using reverse-phase HPLC (Thermo Scientific Dionex Ultimate 3000 series), a reverse-phase C18-ODS-column (Agilent Omnisphere-5) and a Diode Array Detector (DAD-3000(RS)). Pigment data includes both photopigments (e.g. Chl-a etc.) and carotenoid biomarkers (e.g. Alloxanthin). The chromatogram peaks were integrated in Chromeleon 7.2. The peak areas were calibrated to nmol using pre-determined HPLC-system-specific linear regression coefficients. We used a non-target approach and named unknown carotenoids according to their retention times (e.g. car-21.2 occurs at 21.2 minutes after injection). We classified green pigments more polar than Chl a as pheophorbides-x.x.x; green pigments less polar than Chl a as pheophytins-x; and green pigments less polar than β-carotene as pyropheophytins-x. Five to eight milligrams of homogenised freeze-dried sediment were combusted in tin capsules to determine TC, TN and TS with a vario cube (Elementar). TOC was measured by combusting pre-acidified sediment in tin-packed silver capsules. TIC was calculated as TC minus TOC. For the sequential extraction of P, Mn and Fe, we used the extraction protocol of Lukkari et al. (2007) to obtain five fractions of P, Mn and Fe. P, Fe and Mn of all five fractions were measured using ICP-MS
Fractionation of sediment phosphorus revisited. I: Fractionation steps and their biogeochemical basis
Age model, Bacon (Blaauw & Christen, 2011)
Counting, palynology; from the main species expressed in in percentage of total counts
Sequential extraction; Inductively coupled plasma mass spectrometer (ICP-MS), Agilent
High Performance Liquid Chromatography (HPLC)
Total bacteriochlorophyll-a pigments (per wet mass)
Total bacteriopheophorbide-a (per wet mass)
Chlorophyll preservation index; Chl_tot/Phaeophytin_tot
Amsoldingersee; Lake sediment; Pigments; Sequential extraction; Switzerland; TN; TOC