Citation:

PANGAEA.993109 (dataset in review)

Name: Pigments, sequential extraction (P, Fe, Mn), pollen and CNS measurements from sediment core UBE22-COMP1 of lake Übeschi, Switzerland
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Lake sediment; Pigments; Switzerland; Übeschisee; XRF data

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Abstract:

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.

Keyword(s):

Lake sediment; Pigments; Switzerland; Übeschisee; XRF data

Supplement to:

Schmidhauser, Noé Raymond Marie Marcel; Schouten, Stan Jonah; Zahajská, Petra; Lami, Andrea; van Leeuwen, Jacqueline F N; Tjallingii, Rik; Vogel, Hendrik; Grosjean, Martin (submitted): Impacts of Late Glacial climate variability on primary production, anoxia, and chemical feedbacks in a Central European oligo-mesotrophic lake. Quaternary Science Advances

Funding:

Swiss National Science Foundation (SNF), grant/award no. 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

Coverage:

Latitude: 46.734400 * Longitude: 7.565000

Minimum DEPTH, sediment/rock: 4.2208 m * Maximum DEPTH, sediment/rock: 4.8608 m

Event(s):

UBE22-COMP1 (Lake Übeschi) * Latitude: 46.734400 * Longitude: 7.565000 * Elevation: 641.0 m * Lake water depth: 17.7 m * Location: Swiss Plateau * Method/Device: Piston corer (ITRAX)

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Calendar age, minimum/young	Cal age min	ka BP	Schmidhauser, Noé Raymond Marie Marcel	Age model, Bacon (Blaauw & Christen, 2011)
2	Calendar age, maximum/old	Cal age max	ka BP	Schmidhauser, Noé Raymond Marie Marcel	Age model, Bacon (Blaauw & Christen, 2011)
3	Calendar age, median	Cal age median	ka BP	Schmidhauser, Noé Raymond Marie Marcel	Age model, Bacon (Blaauw & Christen, 2011)
4	Calendar age, mean	Cal age mean	ka BP	Schmidhauser, Noé Raymond Marie Marcel	Age model, Bacon (Blaauw & Christen, 2011)
5	DEPTH, sediment/rock	Depth sed	m	Schmidhauser, Noé Raymond Marie Marcel		Geocode
6	Depth, reference	Depth ref	m	Schmidhauser, Noé Raymond Marie Marcel		Radiocarbon depth
7	AGE	Age	ka BP	Schmidhauser, Noé Raymond Marie Marcel	Age model, Bacon (Blaauw & Christen, 2011)	Geocode – Radiocarbon age, mean
8	Age, standard deviation	Age std dev	±	Schmidhauser, Noé Raymond Marie Marcel	Age model, Bacon (Blaauw & Christen, 2011)
9	Laboratory code/label	Lab label		Schmidhauser, Noé Raymond Marie Marcel
10	Arboreal pollen	AP	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
11	Trees and shrubs	Tre.shr	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
12	Betula	Betula	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
13	Juniperus	Jun	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
14	Pinus subgen. Pinus	Pinus s/g Pinus	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
15	Artemisia	Artemisia	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
16	Poaceae	Poac	%	van Leeuwen, Jaqueline F N	Relative abundance (calculated)
17	Pollen, total	Pollen tot	#	van Leeuwen, Jaqueline F N	Counted
18	Moisture	Moisture	%	Schmidhauser, Noé Raymond Marie Marcel
19	Density, dry bulk	DBD	g/cm³	Schmidhauser, Noé Raymond Marie Marcel
20	Carbon, organic, total	TOC	%	Schmidhauser, Noé Raymond Marie Marcel	Calculated	% of weight, dry
21	Carbon, inorganic, total	TIC	%	Schmidhauser, Noé Raymond Marie Marcel	Calculated	% of weight, dry
22	Nitrogen, total	TN	%	Schmidhauser, Noé Raymond Marie Marcel	Calculated	% of weight, dry
23	Sulfur, total	TS	%	Schmidhauser, Noé Raymond Marie Marcel	Calculated	% of weight, dry
24	Carbon, organic, total/Nitrogen, total ratio	TOC/TN		Schmidhauser, Noé Raymond Marie Marcel	Calculated
25	Apatite phosphorus, per unit sediment dry mass	AP/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
26	Residual phosphorus, per unit sediment dry mass	RP/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
27	Manganese, per unit sediment dry mass	Mn/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
28	Manganese,redox-sensitive, per unit sediment dry mass	Mn redox-sensitive/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
29	Manganese, organic-bound, per unit sediment dry mass	Mn org-bound/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
30	Manganese carbonate, per unit sediment dry mass	MnCO3/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
31	Residual manganese, per unit sediment dry mass	Mn/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
32	Iron, redox-sensitive, per unit sediment dry mass	Fe redox-sensitive/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
33	Iron, organic-bound, per unit sediment dry mass	Fe org-bound/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
34	Iron carbonate, per unit sediment dry mass	FeCO3/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
35	Iron, residual, per unit sediment dry mass	Fe res/sed dm	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Inductively coupled plasma mass spectrometer (ICP-MS), Agilent, 8900
36	Chloropigments a, per unit sediment mass	Chloropigm a/sed	µg/mg	Schmidhauser, Noé Raymond Marie Marcel	Ultraviolet–Visible Spectrophotometer (UV-VIS), Shimadzu, UV-1800 SERIES
37	Bacteriochlorophyll a, per unit sediment mass	BChl a/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	Ultraviolet–Visible Spectrophotometer (UV-VIS), Shimadzu, UV-1800 SERIES
38	Chlorophyll a, per unit sediment mass	Chl a/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
39	Phaeophorbide a, per unit sediment mass	Phaeopho a/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
40	Phaeophytin a, per unit sediment mass	Phaeophytin a/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
41	Green Pigments, per unit sediment mass	Green pigm/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
42	Carotenoids, per unit sediment mass	Carotenoids/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
43	Canthaxanthin, per unit sediment mass	Cantha/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
44	Echinenone, per unit sediment mass	Echin/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
45	Astaxanthin, per unit sediment mass	Asta/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
46	Zeaxanthin, per unit sediment mass	Zea/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
47	Okenone, per unit sediment mass	Oke/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
48	Isorenieratene, per unit sediment mass	Isor/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
49	Alloxanthin, per unit sediment mass	Allo/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
50	Diadinoxanthin, per unit sediment mass	Diadino/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
51	Fucoxanthin, per unit sediment mass	Fuco/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
52	Lutein, per unit sediment mass	Lut/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
53	Diatoxanthin, per unit sediment mass	Diatox/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
54	Spheroidene, per unit sediment mass	Sphe/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
55	Bacteriopheophytin a, per unit sediment mass	BPhytin a/sed	nmol/g	Schmidhauser, Noé Raymond Marie Marcel	High-Performance Liquid Chromatography -Diode Array Detector (HPLC-DAD), Agilent, Chromeleon 7 cc
56	Number of batch	Batch no	#	Schmidhauser, Noé Raymond Marie Marcel		Number of batch of pigment extraction.

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

2624 data points

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