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  • 1
    Publication Date: 2023-07-19
    Description: This dataset compiles selected limnological properties of a series of thermokarst (thaw) lakes in Central Yakutia (Eastern Siberia). These properties were measured during fall 2018 (September), winter 2019 (March-April), spring 2019 (May), and summer 2019 (August). These data span four seasons (Fall, Winter, Spring, and Summer) 2018-2019. The lake type designation is based on field observations, past radiocarbon dating of lake sediments, geochemical signatures of lake waters, and a multiple-stage development model of thermokarst lakes. Data were collected at the surface (~ 30 cm depth) from lake shores. Specific conductivity (accuracy ±1% of reading), temperature (accuracy ±0.2°C), dissolved oxygen (accuracy ±1% of reading or 1% saturation) and pH (accuracy ±0.2) were measured using a YSI Pro DSS multiprobe sensor. Water samples were collected to analyze dissolved organic carbon (DOC). Samples were filtered using baked glass fiber filters (Whatman GF/F, 0. 7µm), acidified to pH 2 with ultra-pure HCl and stored in baked glass vials. DOC concentration was measured using a TOC-5000A analyzer (Shimadzu, Japan). The quantification limit was 1 mg L-1. Above this value, the analytical uncertainty was estimated at ±0.1 mg L-1. Reference material included ION-915 ([DOC]= 1.37 ± 0.41mg C L-1) and ION 96.4 ([DOC]= 4.64 ± 0.70 mg C L-1) (Environment and Climate Change Canada, Canada).
    Keywords: Carbon, organic, dissolved; Central_Yakutia_thermokast_lakes; Central Yakutia; Conductivity, specific; Dissolved Organic Carbon; dissolved oxygen; Lake; LAKE; Lake type; LATITUDE; limnology; LONGITUDE; Oxygen, dissolved; Permafrost; pH; Sampling lake; Season; Temperature; Temperature, water; thermokarst lakes; TOC-5000A analyzer, Shimadzu, Japan; Year of observation; YSI Pro DSS multiprobe sensor
    Type: Dataset
    Format: text/tab-separated-values, 939 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-01-03
    Description: Eight overlapping sediment cores, representing an approximately 6.6 m–long composite sequence, were collected on March 24, 2013 from Lake Malaya Chabyda in Central Yakutia (exact coring location 61°57.509' 129°24.500'). Sampling was conducted during a German–Russian Expedition (“Yakutia 2013”) as a cooperation between the North Eastern Federal State University in Yakutsk (NEFU) and the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI). To penetrate ca. 1 m of lake ice cover, 250-mm-diameter holes were drilled using a hand-held Jiffy ice auger. Water depth was measured using an Echo sounder (HONDEX PS-7 LCD) and a calibrated rope for verification. 100 cm-long parallel cores were collected at 2 m water depth using a Russian peat corer and supported by an UWITEC gravity coring system. Cores were stored in waterproof sealed, transparent PVC plastic tubes in cool and dark conditions. After the field season, the cores were transported to Potsdam, Germany and stored at 4°C in the cold rooms at AWI. The cores did not experience any visible drying or surface oxidation during storage. High–resolution X–ray fluorescence (XRF) analyses were carried out with 10 mm resolution on the entire sequence using an Avaatech XRF core scanner at AWI (Bremerhaven, Germany) with a Rh X-ray tube at 10 kV (without filter, 12 s, 1.5 mA) and 30 kV (Pd-thick filer, 15 s, 1.2 mA). The sediment surface was cleaned, leveled, and covered with a 4µm ultralene foil to avoid sediment desiccation prior to XRF scanning. Individual element counts per second (CPS) were transformed using a centered log transformation (CLR) and element ratios were transformed using an additive log ratio (ALR) to account for compositional data effects and reduce effects from variations in sample density, water content, and grain size. Statistical analysis was completed using the Python programming language (Python Software Foundation, https://www.python.org/). XRF analysis of the sequence indicated 24 detectable elements and a subset of these were selected for analysis based on low element χ2 values. These selected elements include the major rock forming elements of Silicon (Si) (Chi2 1.4), Calcium (Ca) (Chi2 6.3), Titanium (Ti) (Chi2 1.3), Rubidium (Rb) (Chi2 0.6), Strontium (Sr) (Chi2 0.7), Zircon (Zr) (Chi2 0.6) and the redox sensitive, productivity indicating elements of Manganese (Mn) (Chi2 1.3), Iron (Fe) (Chi2 2.5), and Bromine (Br) (Chi2 0.8). All subsequent analyses took place after the extracted subsamples had been freeze–dried until completely dry (approximately 48 hours). Grain size analysis was conducted on 18 samples that were chosen to span the entire sequence at relatively regular intervals. The samples were first treated for five weeks with H2O2 (0.88 M) in order to isolate clastic material. After treatment, seven samples were eliminated from the analysis because the remaining inorganic sediment fraction was too low for detection by the laser grain size analyzer. The remaining samples were homogenized using an elution shaker for 24 h and then analyzed using a Malvern Mastersizer 3000 laser. Standard statistical parameters (mean, median, mode, sorting, skewness, and kurtosis) were determined using GRADISTAT 9.1. Total carbon (TC), total organic carbon (TOC), and total nitrogen (TN) analyses were completed after the freeze–dried subsamples were ground in a Pulverisette 5 (Fritsch) planetary mill at 3000 rpm for 7 minutes. TC and TN were measured in a carbon–nitrogen–sulphur analyzer (Vario EL III, Elementar). Five mg of sample material were encapsulated in tin (Sn) capsules together with 10 mg of tungsten–(VI)–oxide. The tungsten–(VI)–oxide ensures complete oxidation of the sample during the measurement process. Duplicate capsules were prepared and measured for each subsample. Blanks and calibration standards were placed every 15 samples to ensure analytical accuracy (〈 ± 0.1 wt%). Between each sample spatula was cleaned with KIMTECK fuzz-free tissues and isopropyl. Analysis of TOC began by removing the inorganic carbon fraction by placing each subsample in a warm hydrochloric acid solution (1.3 molar) for at least three hours and then transferring the sample to a drying oven. The TC measured for each subsample in the previous analysis was used to determine the amount of sample required for the TOC analysis. The appropriate amount of sample was weighted in a ceramic crucible and analyzed using the Vario Max C, Elementar. The TOC/TN ratio was converted to the TOC/TNatomic ratio by multiplying the TOC/TN ratio by 1.167 (atomic weight of carbon and nitrogen). Total inorganic carbon (TIC) analysis was completed using a Vario SoilTOC cube elemental analyzer after combustion at 400ºC (TOC) and 900ºC (TIC) (Elementar Corp., Germany). Calculation of δ13C was completed twice for a subset of samples using two different methodologies. The analysis completed at the AWI Potsdam ISOLAB Facility removed carbonate by treating the samples with hydrogen chloride (12 M HCl) for three hours at 97 °C, then adding purified water and decanting and washed three times. Once the chloride content was below 500 parts per million (ppm), the samples were filtered over a glass microfiber (Whatman Grade GF/B, nominal particle retention of 1.0 µm). The residual sample was dried overnight in a drying cabinet at 50°C. The dry samples were manually ground for homogenization and weighted into tin capsules and analyzed using a ThermoFisher Scientific Delta–V–Advantage gas mass spectrometer equipped with a FLASH elemental analyzer EA 2000 and a CONFLO IV gas mixing system. In this system, the sample is combusted at 1020°C in O2 atmosphere so that the OC is quantitatively transferred to CO2, after which the isotope ratio is determined relative to a laboratory standard of known isotopic composition. Capsules for control and calibration were run in between. The isotope composition is given in permil (‰) relative to Vienna Pee Dee Belemnite (VPDB). The analysis of a small subset of samples which took place at Laboratoire des sciences du climat et de l'environnement Isotopic Laboratory for methodological comparison underwent a slightly different treatment, as follows. The sediment underwent a soft leaching process to remove carbonate using pre-combusted glass beakers, HCl 0.6N at room temperature, ultra-pure water and drying at 50 C. The samples were then crushed in a pre-combusted glass mortar for homogenization prior to carbon content and δ13 C analysis. The handling and chemical procedures are common precautions employed with low-carbon-content sediments. Analysis was performed online using a continuous flow EA-IRMS coupling, that is, a Fisons Instrument NA 1500 Element Analyzer coupled to a ThermoFinigan Delta+XP Isotope-Ratio Mass Spectrometer. Two in-house standards (oxalic acid, δ13C =−19.3% and GCL, _13C =−26.7 %) were inserted every five samples. Each in-house standard was regularly checked against international standards. The measurements were at least triplicated for representativeness. The external reproducibility of the analysis was better than 0.1 %, typically 0.06 %. Extreme values were checked twice. Those samples for which the carbonate was leeched at the room temperature, with lower HCl concentration (0.6N), and without a filtration step (samples analyzed at Laboratoire des sciences du climat et de l'environnement Isotopic Laboratory) had δ13C values 0.1‰ to 1.0‰ (average 0.5‰) higher than the samples treated at the higher temperature (97.7 ºC). However, the plotted δ13C curve is nearly identical for the subset of samples which were subjected to both treatments. There is some heterogeneity in the amount of offset between the two treatment methods. This might be related to an asymmetrical distribution of hot acid-soluble organic compounds throughout the sediment core. A correction of ca. +0.5‰ was applied to the results of the high temperature treatment. These values were then combined with the low temperature results to provide a complete dataset for the whole core. The standard deviation (1σ) is generally better than δ13C = ±0.15‰.
    Keywords: AWI_Envi; AWI Arctic Land Expedition; COMPCORE; Composite Core; Holocene; Lake Malaya Chabyda, Yakutia, Russia; Lake sediment core; Late Pleistocene; organic carbon; Paleolimnology; PG2201_site; Polar Terrestrial Environmental Systems @ AWI; RU-Land_2013_Yakutia; Siberian permafrost; stable carbon isotopes δ13C; Yakutia2013
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 3
    Publication Date: 2024-01-03
    Keywords: AWI_Envi; AWI Arctic Land Expedition; Clay; COMPCORE; Composite Core; Concentration parameter; DEPTH, sediment/rock; Grain size, Mastersizer 3000, Malvern Instrument Inc.; Grain size, mean; Holocene; Kurtosis; Lake Malaya Chabyda, Yakutia, Russia; Lake sediment core; Late Pleistocene; Median, grain size; Medium; Model; organic carbon; Paleolimnology; Particle absorption value; Percentile 10; Percentile 50; Percentile 90; PG2201_site; Polar Terrestrial Environmental Systems @ AWI; Refractive index; RU-Land_2013_Yakutia; Sample code/label; Sample comment; Sand; Shading; Siberian permafrost; Silt; Size fraction; Skewness; Sorting; Specific surface area; stable carbon isotopes δ13C; Uniformity of grain size; Weighted deviation; Width; Yakutia2013
    Type: Dataset
    Format: text/tab-separated-values, 2048 data points
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  • 4
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    In:  Supplement to: Muster, Sina; Roth, Kurt; Langer, Moritz; Lange, Stephan; Cresto-Aleina, Fabio; Bartsch, Annett; Morgenstern, Anne; Grosse, Guido; Jones, Benjamin M; Sannel, A Britta K; Sjöberg, Ylva; Günther, Frank; Andresen, Christian; Veremeeva, Alexandra; Lindgren, Prajna R; Bouchard, Frédéric; Lara, Mark J; Fortier, Daniel; Charbonneau, Simon; Virtanen, Tarmo A; Hugelius, Gustaf; Palmtag, Juri; Siewert, Matthias Benjamin; Riley, William J; Koven, Charles D; Boike, Julia (2017): PeRL: a circum-Arctic Permafrost Region Pond and Lake database. Earth System Science Data, 9(1), 317-348, https://doi.org/10.5194/essd-9-317-2017
    Publication Date: 2024-01-27
    Description: Ponds and lakes are abundant in Arctic permafrost lowlands. They play an important role in Arctic wetland ecosystems by regulating carbon, water, and energy fluxes and providing freshwater habitats. However, ponds, i.e., waterbodies with surface areas smaller than 1.0 × 10**4 m**2, have not been inventoried on global and regional scales. The Permafrost Region Pond and Lake (PeRL) database presents the results of a circum-Arctic effort to map ponds and lakes from modern (2002-2013) high-resolution aerial and satellite imagery with a resolution of 5 m or better. The database also includes historical imagery from 1948 to 1965 with a resolution of 6 m or better. PeRL includes 69 maps covering a wide range of environmental conditions from tundra to boreal regions and from continuous to discontinuous permafrost zones. Waterbody maps are linked to regional permafrost landscape maps which provide information on permafrost extent, ground ice volume, geology, and lithology. This paper describes waterbody classification and accuracy, and presents statistics of waterbody distribution for each site. Maps of permafrost landscapes in Alaska, Canada, and Russia are used to extrapolate waterbody statistics from the site level to regional landscape units. PeRL presents pond and lake estimates for a total area of 1.4 × 10**6 km**2 across the Arctic, about 17 % of the Arctic lowland ( 〈 300 m a.s.l.) land surface area. PeRL waterbodies with sizes of 1.0 × 10**6 m**2 down to 1.0 × 10**2 m**2 contributed up to 21 % to the total water fraction. Waterbody density ranged from 1.0 × 10 to 9.4 × 10**1/km². Ponds are the dominant waterbody type by number in all landscapes representing 45-99 % of the total waterbody number. The implementation of PeRL size distributions in land surface models will greatly improve the investigation and projection of surface inundation and carbon fluxes in permafrost lowlands.
    Keywords: Arctic; Changing Permafrost in the Arctic and its Global Effects in the 21st Century; File format; File name; File size; PAGE21; pan-Arctic; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 5
    Publication Date: 2024-05-15
    Keywords: Aluminium, area, total counts; Aluminium, calibrated elemental proportions; Aluminium, chi-square; Aluminium, standard deviation; AWI_Envi; AWI Arctic Land Expedition; Bismuth, area, total counts; Bismuth, chi-square; Bismuth, proportion; Bismuth, standard deviation; Bromine, area, total counts; Bromine, chi-square; Bromine, proportion; Bromine, standard deviation; Calcium, area, total counts; Calcium, chi-square; Calcium, proportion; Calcium, standard deviation; Calcium/Titanium ratio; Carbon; Carbon, inorganic, total; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; Carbon and nitrogen and sulfur (CNS) isotope element analyzer, Elementar, Elementar Vario MAX Cube; Chloride, area, total counts; Chlorine, chi-square; Chlorine, proportion; Chlorine, standard deviation; Chromium, area, total counts; Chromium, chi-square; Chromium, proportion; Chromium, standard deviation; COMPCORE; Composite Core; Copper, area, total counts; Copper, chi-square; Copper, proportion; Copper, standard deviation; Density; Density, dry bulk; DEPTH, sediment/rock; Elemental analyzer, Vario SoilTOC cube; File name; Gallium, area, total counts; Gallium, chi-square; Gallium, proportion; Gallium, standard deviation; Holocene; Iron, area, total counts; Iron, chi-square; Iron, proportion; Iron, standard deviation; Iron/Calcium ratio; Iron/Manganese ratio; Iron/Titanium ratio; Lake Malaya Chabyda, Yakutia, Russia; Lake sediment core; Late Pleistocene; Lead, area, total counts; Lead, chi-square; Lead, proportion; Lead, standard deviation; Manganese, area, total counts; Manganese, chi-square; Manganese, proportion; Manganese, standard deviation; Manganese/Iron ratio; Manganese/Titanium ratio; Mass; Mass spectrometer ThermoFisher Delta V Advantage; Molybdenum, area, total counts; Molybdenum, chi-square; Molybdenum, proportion; Molybdenum, standard deviation; Niobium, area, total counts; Niobium, chi-square; Niobium, proportion; Niobium, standard deviation; Nitrogen, total; organic carbon; Paleolimnology; PG2201_site; Phosphorus, area, total counts; Phosphorus, chi-square; Phosphorus, proportion; Phosphorus, standard deviation; Polar Terrestrial Environmental Systems @ AWI; Porosity, fractional; Potassium, area, total counts; Potassium, chi-square; Potassium, proportion; Potassium, standard deviation; Rhenium, area, total counts; Rhenium, chi-square; Rhenium, proportion; Rhenium, standard deviation; Rubidium, area, total counts; Rubidium, chi-square; Rubidium, standard deviation; RU-Land_2013_Yakutia; Sample code/label; Sample mass; Sample volume; Siberian permafrost; Silicon, area, total counts; Silicon, chi-square; Silicon, proportion; Silicon, standard deviation; Silicon/Titanium ratio; stable carbon isotopes δ13C; Strontium, area, total counts; Strontium, chi-square; Strontium, proportion; Strontium, standard deviation; Sulfur, area, total counts; Sulfur, chi-square; Sulfur, proportion; Sulfur, standard deviation; Titanium, area, total counts; Titanium, chi-square; Titanium, proportion; Titanium, standard deviation; Water content, wet mass; X-ray fluorescence (XRF); X-ray fluorescence core scanner (XRF), Avaatech; Yakutia2013; Yttrium, area, total counts; Yttrium, chi-square; Yttrium, proportion; Yttrium, standard deviation; Zinc, area, total counts; Zinc, chi-square; Zinc, proportion; Zinc, standard deviation; Zirconium, area, total counts; Zirconium, chi-square; Zirconium, standard deviation; Zirconium/Rubidium ratio; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 68144 data points
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  • 6
  • 7
  • 8
  • 9
  • 10
    Publication Date: 2020-04-27
    Print ISSN: 1045-6740
    Electronic ISSN: 1099-1530
    Topics: Geography , Geosciences
    Published by Wiley
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