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  • 11
    Publication Date: 2024-02-26
    Keywords: AGE; Calcium; Iron; Lake Suigetsu, Honshu, Japan; Manganese; Micro X-ray fluorescence (µ-XRF); PC-hp; Piston corer, hydro-pressure thin-walled; Potassium; SG06; Titanium
    Type: Dataset
    Format: text/tab-separated-values, 133495 data points
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  • 12
    Publication Date: 2024-02-26
    Keywords: AGE; Lake Suigetsu, Honshu, Japan; PC-hp; Piston corer, hydro-pressure thin-walled; Precipitation, annual total; Precipitation, Apr-Sep; Precipitation, Oct-Mar; SG06; Temperature, annual mean
    Type: Dataset
    Format: text/tab-separated-values, 660 data points
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  • 13
    Publication Date: 2024-01-09
    Keywords: AGE; Age, error; Age model, IntCal 20, version 2020-09-25; Correlation model, version 2020-04-06; Depth, error; DEPTH, sediment/rock; IntCal20 age; Lake Suigetsu; Lake Suigetsu, Honshu, Japan; Laschamp Excursion; Magnetic susceptibility; Number; paleointensity; Paleointensity, normalized; Paleointensity, relative; paleomagnetic direction; PC-hp; Piston corer, hydro-pressure thin-walled; SG14
    Type: Dataset
    Format: text/tab-separated-values, 958 data points
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  • 14
    Publication Date: 2024-04-17
    Description: This dataset provides the raw pollen counts for the late-glacial sediment sequence retrieved from Lake Haemelsee (Germany) in 2013. The counts are presented against both depth (cm core depth) and time (cal. yr BP) and cover the time interval from ca 15.200 to 10.400 cal yr BP. A total of 106 samples were counted, with higher sampling resolution around the onset and end of the Younger Dryas, and lower sampling resolution elsewhere in the core. The pollen record provides information about both regional vegetation change as well as changes in the within-lake flora. It was produced to inform on the exact age and duration of major palynological transitions during the late-glacial Cores were retrieved from the lake using a 3-m long UWITEC piston corer deployed from a floating coring platform during field work in July 2013. Volumetric samples were obtained from splits of the core and processed in the laboratory (University of Amsterdam, the Netherlands) using standard protocols.
    Keywords: Abies; Acer; Achillea-type; AGE; Alchemilla; Alisma; Alnus; Apiaceae; Armeria; Artemisia; Asteraceae Liguliflorae; Aster-type; Batrachium-type; Betula; Boraginaceae; Botryococcus; Brassicaceae; Bryophyta undifferentiated; Calluna; Campanulaceae; Carpinus; Caryophyllaceae undifferentiated; Centaurea cyanus; Cerastium-type; Cerealia-type; Chenopodiaceae; Cirsium-type; Coelastrum; Corylus; Counting, palynology; Crassulaceae; Cyperaceae; DEPTH, sediment/rock; Dinoflagellates; Empetrum; Ephedra distachya-type; Ephedra fragilis-type; Epilobium; Equisetum; Ericaceae undifferentiated; Europe; Fabaceae; Fagus; Filicopsida undifferentiated; Filipendula; Fraxinus; Galium; Haemelsee_Haem13; Helianthemum nummularium-type; Helianthemum oelandicum-type; Hippophae; Hippuris vulgaris; Humulus/Cannabis-type; Hydrocharis-type; Ilex; Isoetes; Juglans; Juniperus; Lake Haemelsee, Germany; Lamiaceae; Late-Glacial; Liliaceae; Liquidambar; Lycopodium (added); Lycopodium annotinum-type; Lysimachia; Lythrum; Mentha-type; Menyanthes; Myriophyllum alterniflorum; Myriophyllum spicatum; Myriophyllum verticillatum; Niederreiter Piston corer; NPC; Number; Nuphar; Nymphaea; Palaeoecology; Parnassia palustris; Pediastrum; Picea; Pinus; Plantago lanceolata; Plantago maritima-type; Plantago media/major-type; Poaceae; Polemonium boreale; pollen; Pollen, undifferentiated; Polygonum aviculare-type; Polygonum persicaria/amphibia-type; Polypodium-type; Populus; Potamogeton; Potentilla-type; Pteridium; Quercus; Ranunculaceae undifferentiated; Ranunculus repens-type; Rosaceae undifferentiated; Rotatoria; Rumex; Rumex hydrolapathum; Salix; Sanguisorba minor; Sanguisorba officinalis; Saussurea-type; Scrophulariaceae undifferentiated; Selaginella selaginoides; Silene-type; Succisa-type; Thalictrum; Tilia; Typha angustifolia/Sparganium-type; Typha latifolia-type; Ulmus; Urtica; Utricularia; Vaccinium; Valeriana; Vegetation change
    Type: Dataset
    Format: text/tab-separated-values, 11978 data points
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  • 15
    Publication Date: 2024-05-16
    Description: This dataset provides Loss-on-ignition (LOI) data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. LOI values (%) are presented against both depth (m) and age (cal yr. BP). The LOI data was used to provide information on LGIT landscape dynamics at lake Hämelsee. A total of 369 samples were analyzed for LOI, providing a continuous 1-cm-resolution record across the LGIT and early Holocene sections of the HAEM-B record. Subsamples of 1 cm3 were dried in a 105°C oven for 24 hrs before being placed in a furnace at 550 °C for 4 hrs. Loss-on-ignition was calculated by comparing the dry weight of the samples before and after combustion at 550 °C following Heiri et al. (2001) and results are expressed as a percentage. The analyses were performed in the laboratories of Utrecht University, the Netherlands.
    Keywords: AGE; DEPTH, sediment/rock; ecosystem dynamics; Germany; Haemelsee; Haemelsee_Haem13; Lake Haemelsee, Germany; LOI; Loss on ignition; Niederreiter Piston corer; NPC; ORDINAL NUMBER
    Type: Dataset
    Format: text/tab-separated-values, 369 data points
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  • 16
    Publication Date: 2024-05-16
    Description: This dataset provides geochemical composition data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013, determined using an Itrax X-ray fluorescence (XRF) core scanner. Selected geochemical major and minor elements (Ti, Si, Ca, Fe) expressed as counts per second, as elemental ratios, as centered log-ratios (CLR) and as log-ratios are presented against both depth (m) and age (cal yr. BP). The XRF data was used to provide information on LGIT landscape dynamics at lake Hämelsee. The geochemical composition of the sediments was determined on fresh core splits using an Itrax X-ray fluorescence (XRF) core scanner equipped with a Cr tube. Measurements were performed at 200 µm resolution during 20s exposure time per step at 30 kV tube voltage and 40 mA tube current. The analyses were performed in the laboratories of GFZ, Potsdam.
    Keywords: AGE; Calcium; Calcium/Titanium ratio; Calcium (centered log ratio); DEPTH, sediment/rock; ecosystem dynamics; Germany; Haemelsee; Haemelsee_Haem13; Iron; Iron/Titanium ratio; Iron (centered log ratio); Lake Haemelsee, Germany; log-Calcium/Titanium ratio; log-Iron/Titanium ratio; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Potassium; Potassium (centered log ratio); Silicon; Silicon (centered log ratio); Titanium; Titanium (centered log ratio); X-ray fluorescence (XRF); XRF
    Type: Dataset
    Format: text/tab-separated-values, 243908 data points
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  • 17
    Publication Date: 2024-05-16
    Description: This dataset provides glycerol dialkyl glycerol tetraethers (GDGTs) concentrations for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. GDGTs concentrations (ng/g) are presented against both depth (m) and age (cal yr. BP). The GDGTs dataset was used to calculate the GDGT-0/crenarchaeol ratio, which was interpreted to represent lake water oxygenation, which, given the local settings, was likely driven by changes in windiness. Additionally, the GDGT dataset was used to calculate the degree of methylation of 5-methyl brGDGTs (MBT'5me), which can be used to reconstruct past temperature change through translation MBT'5me into mean temperature of the months above freezing. As such, the GDGT data provides information on LGIT climate dynamics at lake Hämelsee. Of the 167 samples used for lipid extraction (see https://doi.pangaea.de/10.1594/PANGAEA.964524), the alcohol/fatty acid fraction of 94 samples was further processed to analyse glycerol dialkyl glycerol tetraethers (GDGTs), which are membrane lipids of certain archaea and bacteria (Schouten et al., 2013). In short, a known amount of internal standard was added to each fraction, which was then redissolved in hexane:isopropanol 99:1 and passed over a 0.45 µm PTFE filter prior to injection on a Agilent 1260 Infinity ultra-high performance liquid chromatograph coupled to an Agilent 6130 single quadrupole mass spectrometer following the settings and elution protocol of Hopmans et al. (2016). A minimum peak area of 3000 and a signal-to-noise ratio of 〉3 was maintained as detection limit. Quantification of the GDGTs is based on the assumption that the mass spectrometer equally responds to the GDGTs and the internal standard. All analyses were performed in the laboratories of Utrecht University, the Netherlands.
    Keywords: Acyclic glycerol dibiphytanyl glycerol tetraether; AGE; alkanes; Biodiversity; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa; Branched glycerol dialkyl glycerol tetraether, IIa'; Branched glycerol dialkyl glycerol tetraether, IIb; Branched glycerol dialkyl glycerol tetraether, IIb'; Branched glycerol dialkyl glycerol tetraether, IIc; Branched glycerol dialkyl glycerol tetraether, IIc'; Branched glycerol dialkyl glycerol tetraether, IIIa; Branched glycerol dialkyl glycerol tetraether, IIIa'; Branched glycerol dialkyl glycerol tetraether, IIIb; Branched glycerol dialkyl glycerol tetraether, IIIb'; Branched glycerol dialkyl glycerol tetraether, IIIc; Branched glycerol dialkyl glycerol tetraether, IIIc'; Chironomidae; Crenarchaeol; Crenarchaeol regio-isomer; DEPTH, sediment/rock; deuterium; diatoms; Dicyclic glycerol dibiphytanyl glycerol tetraether; ecosystem dynamics; GDGTs; Germany; Haemelsee; Haemelsee_Haem13; Infinity ultra-high performance liquid chromatograph, Agilent 1260, coupled to a single quadrupole mass spectrometer, Agilent 6130 [following Hopmans et al. 2016]; Lake Haemelsee, Germany; LOI; Monocyclic glycerol dibiphytanyl glycerol tetraether; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Pediastrum; Tricyclic glycerol dibiphytanyl glycerol tetraether; XRF
    Type: Dataset
    Format: text/tab-separated-values, 1973 data points
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  • 18
    Publication Date: 2024-05-16
    Description: This dataset provides delta-Deuterium data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Compound-specific hydrogen isotope ratios (expressed as δD) normalized to the Vienna Standard Mean Ocean Water (VSMOW) as well as measurement uncertainties (expressed as SD) are presented against both depth (m) and age (cal yr. BP). The data provides information on the Lateglacial development of local climate dynamics: the plant-wax derived δD signal is typically considered to reflect the hydrogen-isotopic composition of plant leaf water and, by extension, precipitation. We therefore interpret the trends in δD record here as an indicator of past hydrological change (cf Sachse et al., 2012). A total of 167 samples from the Lateglacial section of the core were processed using a Dionex 350 accelerated solvent extraction (ASE) system. Solid phase extraction (SPE) was used to separate the extracts into an aliphatic, aromatic and alcohol/fatty acid fraction. Prior to isotope ratio measurement, the aliphatic fraction was further fractionated on a Pasteur pipette column containing activated AgNO3 (10%) coated silica gel. Compound-specific hydrogen isotope ratios (expressed as δD) were subsequently measured on an isotope ratio mass spectrometer. All δD values are normalized to the Vienna Standard Mean Ocean Water (VSMOW) scale using a linear regression function between measured and certified δD values of a standard mix. We refer to Rach et al. (2020) for further details on the exact analytical setup. All measurements were performed in the laboratories of GeoForschungsZentrum Potsdam.
    Keywords: AGE; alkanes; Biodiversity; Chironomidae; DEPTH, sediment/rock; deuterium; diatoms; ecosystem dynamics; GDGTs; Germany; Haemelsee; Haemelsee_Haem13; Isotope ratio mass spectrometer (IRMS); Lake Haemelsee, Germany; LOI; n-Alkane C23, δD; n-Alkane C23, δD, standard deviation; n-Alkane C25, δD; n-Alkane C25, δD, standard deviation; n-Alkane C27, δD; n-Alkane C27, δD, standard deviation; n-Alkane C29, δD; n-Alkane C29, δD, standard deviation; n-Alkane C31, δD; n-Alkane C31, δD, standard deviation; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Pediastrum; XRF; δ Deuterium, n-alkanes
    Type: Dataset
    Format: text/tab-separated-values, 1603 data points
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  • 19
    Publication Date: 2024-05-16
    Description: This dataset provides the sedimentological, palaeoecological and geochemical data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Loss-on-ignition, XRF, n-alkane, delta-Deuterium and GDGT measurements as well as counts of chironomids, diatoms and Pediastrum are presented against both depth (m) and age (cal yr. BP). The data provides information on the Lateglacial development of the landscape around lake Hämelsee, the local climate dynamics, and the changes in the lake ecosystem itself and has been used to identify the effects of external drivers on biodiversity parameters (alpha diversity, compositional turnover and productivity). Cores were retrieved from the lake using a 3-m long UWITEC piston corer deployed from a floating coring platform during field work in July 2013. Following LOI analysis, ITRAX core scanning and sampling for thin section analysis, core segments spanning between 1325-1687 cm sediment depth were subsampled into contiguous 1-cm-thick subsamples. These subsamples formed the basis for the subsequent chronological, sedimentological and palaeoecological analyses and were processed in various laboratories as specified below. Where appropriate, datasets are processed through amalgamation of consecutive samples to e.g. ensure high count sums or concentrations.
    Keywords: alkanes; Biodiversity; Chironomidae; deuterium; diatoms; ecosystem dynamics; GDGTs; Germany; Haemelsee; LOI; Pediastrum; XRF
    Type: Dataset
    Format: application/zip, 8 datasets
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  • 20
    Publication Date: 2024-05-16
    Description: This dataset provides concentrations of n-alkanes for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Concentrations of n-alkanes (ug/g), the Carbon Preference Index (CPI) and the Average Chain Length C21-C33 (ACL) are all presented against both depth (m) and age (cal yr. BP). The n-alkane concentration data provides information on the Lateglacial dynamics of local plant productivity, whereas the ACL and CPI of the sediment samples were determined to estimate origin and preservation condition. A total of 167 samples from the Lateglacial section of the core were processed using a Dionex 350 accelerated solvent extraction (ASE) system. Solid phase extraction (SPE) was used to separate the extracts into an aliphatic, aromatic and alcohol/fatty acid fraction. Separation was achieved by loading the extracts on activated silica columns and eluting each fraction with hexane, hexane/DCM (1:1 v/v) and DCM/MeOH (9:1 v/v) successively. The aliphatic fraction, containing the n-alkanes, was analyzed by gas chromatography-mass spectrometry (GC/MS). The peak areas for each n-alkane homologue were compared to the peak areas from an internal standard (5α-androstane) and an external n-alkane standard mixture for absolute quantification. We refer to Rach et al. (2020) for further details on the exact analytical setup. All measurements were performed in the laboratories of GeoForschungsZentrum Potsdam.
    Keywords: AGE; alkanes; Average chain length, n-Alkanes, C21-C33; Biodiversity; Carbon Preference Index, n-Alkanes; Chironomidae; DEPTH, sediment/rock; deuterium; diatoms; ecosystem dynamics; Gas chromatography-mass spectrometry, following the analytical setup and protocol of Rach et al. (2020); GDGTs; Germany; Haemelsee; Haemelsee_Haem13; Lake Haemelsee, Germany; LOI; n-Alkane; n-Alkane C17; n-Alkane C21; n-Alkane C22; n-Alkane C23; n-Alkane C24; n-Alkane C25; n-Alkane C26; n-Alkane C27; n-Alkane C28; n-Alkane C29; n-Alkane C30; n-Alkane C31; n-Alkane C32; n-Alkane C33; n-Alkane C34; n-Alkane C35; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Pediastrum; XRF
    Type: Dataset
    Format: text/tab-separated-values, 3173 data points
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