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  • 1
    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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  • 2
    Publication Date: 2024-05-16
    Description: This dataset provides counts of diatom valves for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Counts per taxon are presented against both depth (m) and age (cal yr. BP). The diatom data provides information on Lateglacial ecosystem dynamics and the dataset was used to interpret changes in aquatic diversity as well as in palaeolimnological conditions. A total of 78 samples were selected for diatom analysis using 2-5 cm sample intervals throughout the Lateglacial section of the core sequence, with a higher sampling resolution (1 cm intervals) around key transitions. Organic matter was removed from the samples (ca. 0.01 grams dried sediment) by oxidation using 5 ml of H2O2 (30%) and heating in a water bath at 70 °C for 24-28 hrs. Subsequently, a few drops of HCl (50%) were added to remove residual H2O2 and carbonates. Samples were washed by adding distilled water, shaking vigorously, centrifuging at 1200 rpm for 4 minutes, and removing the liquid using a pipette. This process was repeated 5 times, and a few drops of ammonia (NH3) were added to the solution prior to the final wash to prevent clumping of diatoms. Diatom slides were mounted using Naphrax and diatoms were identified using Krammer and Lange-Bertalot (1986–1991) and Camburn and Charles (2000). For several samples the target count sum of 300 diatom valves could not be reached due to low concentrations or poor diatom preservation. Prior to analysis and interpretation, and where possible, neighbouring samples with a low count sum were amalgamated until a count of at least 100 valves was reached; if this was not possible the samples were deleted from our dataset prior to subsequent analysis (note that these samples are still included in the dataset provided here). All analyses were performed in the laboratories of University College London, UK.
    Keywords: Achnanthes sp.; AGE; alkanes; Amphora copulata; Amphora ovalis; Amphora pediculus; Amphora subconstricta; Asterionella formosa; Aulacoseira sp.; Biodiversity; Cavinula cocconeiformis; Chironomidae; Cocconeis neodiminuta; Cocconeis placentula; Cocconeis sp.; Counting valves; Cymbella parva; Cymbella sp.; Denticula kuetzingii; Denticula sp.; Denticula tenuis; DEPTH, sediment/rock; deuterium; Diatoma sp.; diatoms; Diatoms, centrales indeterminata; Diploneis sp.; Discotella stelligera; ecosystem dynamics; Encyonema minutum; Encyonema silesiacum; Epithemia adnata; Epithemia gibba; Epithemia sorex; Epithemia sp.; Epithemia turgida; Eunotia curvata; Eunotia flexuosa; Eunotia rhomboidea; Eunotia sp.; Fallacia pygmaea; Fragilaria recapitellata; Fragilaria sp.; Fragilariforma constricta; Fragilariforma lata; GDGTs; Germany; Gogorevia exilis; Gomphonema brebissonii; Gomphonema clevei; Gomphonema parvulum; Gomphonema sp.; Haemelsee; Haemelsee_Haem13; Halamphora thumensis; Khursevichia jentzschii; Lake Haemelsee, Germany; Lindavia bodanica; LOI; Meridion circulare; Navicula cincta; Navicula exilis; Navicula lanceolata; Navicula radiosa; Navicula sp.; Nepula vitiosa; Niederreiter Piston corer; Nitzschia dissipata; Nitzschia gracilis; Nitzschia lacuum; Nitzschia obtusa var. brevissima; Nitzschia sp.; NPC; Nupela tenuicephala; ORDINAL NUMBER; Pantocsekiella delicatula; Pantocsekiella ocellata; Pediastrum; Placoneis elginensis; Placoneis gastrum; Planothidium joursacense; Platessa conspicua; Pleurosigma sp.; Psammothidium helveticum; Pseudostaurosira brevistriata; Pseudostaurosira robusta; Pseudostaurosira spp.; Sellaphora pupula; Stauroforma exiguiformis; Stauroneis anceps; Stauroneis construens; Stauroneis sp.; Staurosira construens; Staurosirella pinnata; Staurosirella pinnata var. acuminata; Staurosirella pinnata var. intercedens; Staurosirella pinnata var. minutissima; Tabellaria fenestrata; Tabellaria flocculosa; Tabellaria quadriseptata; Tabellaria sp.; XRF
    Type: Dataset
    Format: text/tab-separated-values, 6862 data points
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  • 3
    Publication Date: 2024-05-16
    Description: This dataset provides Pediastrum data for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Percent-abundances per taxon (%), total count sum per sample (#/ml) and Pediastrum flux (#/cm²/a) are presented against both depth (m) and age (cal yr. BP). The Pediastrum data provides information on Lateglacial ecosystem dynamics and the dataset was used to interpret changes in aquatic diversity as well as in palaeolimnological conditions. A dataset of lateglacial pollen samples from lake Haemelsee (see https://doi.pangaea.de/10.1594/PANGAEA.939693) was additionally analysed for subfossil remains of Pediastrum, where identification of the Pediastrum taxa mainly followed Komárek and Jankovská (2001) with further taxonomic revisions as summarized in Turner et al. (2014). Our final Pediastrum dataset includes 100 samples, as samples with fewer than 25 identified Pediastrum coenobia were excluded from further analyses. Pediastrum concentrations were calculated by comparing the number of Lycopodium spores encountered during pollen analyses to the number of spores added to the sample. All analyses were performed in the laboratories of the Technische Universität Braunschweig, Germany.
    Keywords: AGE; Biodiversity; Counting, palynology; DEPTH, sediment/rock; ecosystem dynamics; Germany; Haemelsee; Haemelsee_Haem13; Lake Haemelsee, Germany; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Pediastrum; Pediastrum, flux; Pediastrum boryanum var. boryanum-type; Pediastrum boryanum var. brevicorne; Pediastrum boryanum var. caribeanum; Pediastrum boryanum var. cornutum; Pediastrum boryanum var. longicorne; Pediastrum boryanum var. pseudoglabrum; Pediastrum cf. angulosum; Pediastrum cf. argentinense; Pediastrum cf. biradiatum; Pediastrum duplex var. duplex; Pediastrum duplex var. regulosum; Pediastrum integrum; Pediastrum integrum-type; Pediastrum kawraiskyi; Pediastrum orientale-type
    Type: Dataset
    Format: text/tab-separated-values, 2000 data points
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  • 4
    Publication Date: 2024-05-16
    Description: This dataset provides counts of chironomid head capsules for the Lateglacial sediment sequence retrieved from Lake Hämelsee (Germany) in 2013. Counts per taxon are presented against both depth (m) and age (cal yr. BP), and the total amount of material used for analysis (in g) is provided as well. The chironomid data provides information on Lateglacial ecosystem dynamics and were used to interpret changes in aquatic diversity as well as in local climate conditions. A total of 123 samples from the Lateglacial section of the core were treated with warm KOH (10%) to de-flocculate the material and subsequently rinsed through a sieve with a 100-µm mesh. Chironomid head capsules (HCs) were hand-picked from the residue using a Bogorov sorting tray and mounted on permanent microscope slides using Euparal mounting medium. HCs were identified using Brooks et al. (2007) and the dataset presented here has been matched to the taxonomy of the merged Norwegian/Swiss chironomid-climate calibration dataset. Several samples had low chironomid concentrations and for these we amalgamated adjacent samples (within lithological boundaries) to reach a minimum count sum of 50 head capsules per sample. This process resulted in the final chironomid dataset that is presented here, containing 97 samples. All analyses were performed in the laboratories of the University of Amsterdam, the Netherlands.
    Keywords: Ablabesmyia; AGE; alkanes; Biodiversity; Chironomidae; Chironomidae indeterminata; Chironomini; Chironomus anthracinus-type; Chironomus plumosus-type; Cladopelma lateralis-type; Cladotanytarsus mancus-type; Constempellina; Corynocera ambigua; Corynocera oliveri-type; Corynoneura arctica-type; Corynoneura edwardsi-type; Corynoneura lobata-type; Counting, microscope; Cricotopus/Orthocladius; Cricotopus cylindraceus-type; Cricotopus laricomalis-type; Cricotopus obnixus-type; Cricotopus sylvestris-type; Cricotopus trifasciatus-type; Cricotopus-type P; Cryptochironomus/Demicryptochironomus; DEPTH, sediment/rock; deuterium; Diamesa; diatoms; Dicrotendipes nervosus-type; ecosystem dynamics; Einfeldia; Endochironomus albipennis-type; Endochironomus impar-type; Endochironomus tendens-type; Eukiefferiella spp.; GDGTs; Georthocladius; Germany; Glyptotendipes pallens-type; Guttipelopia; Haemelsee; Haemelsee_Haem13; Heterotrissocladius grimshawi-type; Heterotrissocladius marcidus-type; Heterotrissocladius subpilosus-type; Labrundinia; Lake Haemelsee, Germany; Lasiodiamesa; Lauterborniella/Zavreliella; Limnophyes; LOI; Metriocnemus eurynotus-type; Metriocnemus terrester-type; Microchironomus; Micropsectra insignilobus-type; Micropsectra pallidula-type; Micropsectra radialis-type; Microtendipes pedellus-type; Monodiamesa; Nanocladius branchicolus-type; Niederreiter Piston corer; NPC; ORDINAL NUMBER; Orthocladiini; Orthocladius consobrinus-type; Orthocladius oliveri-type; Orthocladius-type; Orthocladius-type S; Pagastiella; Parachironomus varus-type; Parachironomus vitiosus-type; Paracladius; Parakiefferiella bathophila-type; Parakiefferiella nigra-type; Parakiefferiella triquetra-type; Parakiefferiella-type A; Parametriocnemus; Paratanytarsus spp.; Paratendipes albimanus-type; Pediastrum; Phaenopsectra flavipes-type; Phaenopsectra-type A; Polypedilum nubeculosum-type; Polypedilum sordens-type; Procladius; Propsilocerus lacustris-Type; Protanypus; Psectrocladius barbatipes-type; Psectrocladius calcaratus-type; Psectrocladius septentrionalis-type; Psectrocladius sordidellus-type; Pseudochironomus; Pseudodiamesa; Pseudorthocladius; Pseudosmittia; Sample mass; Sergentia coracina-type; Smittia; Stempellina-type; Stempellinella/Zavrelia; Stenochironomus; Stictochironomus rosenschoeldi-type; Synorthocladius; Tanypodini; Tanypus; Tanytarsini; Tanytarsus chinyensis-type; Tanytarsus glabrescens-type; Tanytarsus lactescens-type; Tanytarsus lugens-type; Tanytarsus mendax-type; Tanytarsus pallidicornis-type; Thienemannimyia; XRF; Zalutschia-type B; Zavrelimyia
    Type: Dataset
    Format: text/tab-separated-values, 9600 data points
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  • 5
    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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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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