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  • 2015-2019  (4,201,726)
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  • 1
    Publication Date: 2024-05-14
    Keywords: 07-SA-LY_ABCD_1-6; Abisko, Lappland, northern Sweden; Aero_1; Aero_core1; Age, dated; Age, dated material; Age, dated standard error; Alaska, USA; Alberta, Canada; Antoine_Lake; Author(s); AWI Arctic Land Expedition; Baillie_Bog; Bathurst_Island; Beauval; BGS_980; Biological sample; BIOS; Bonanza_Creek; Boniface_river; Bulmer_Lake; Burgistoye_Bog; Bylot_Island; Campbell_Creek; Canada; Canadian Arctic; Chernaya_Gorka; Chorkurdakh; Clear_lake; College_Bog; Core; Crimson_lake; CSAT; DEPTH, sediment/rock; Dyanushka K7P2; Ennadai_Lake; Event label; Finland; Fosheim; Grafe_River; GSC_GaK; Height above sea floor/altitude; Herchmer; Horn_Plateau; Horse_Trail; Hudson Bay; Identification; Indico; Innoko; Inuvik; Inuvik_East; James_Bay_Transect; Joey_Lake; K7P2; Kazache; Kenai_Gasfield; Kenai_Gasfield_coreKG07-2; KFA906; Khosedayu; Kineosheo; KM184; Koyukuk; KUJU_PD2; KUJU-PD2_core1; Kukjuk; Kunyok_bog; Kwakwatanikapistikw; Kwethluk; La_Grande_Riviere-LG1; La_Grande_Riviere-LG2; La_Grande_Riviere-LG3; Laboratory code/label; Lac_des_Becassines; Lac_des_Cygnes_Mountain; Lac_Le_Caron; Lac_Le_Caron_coreCentral; Laivadalen; Lama_Lake; LATITUDE; LOA_T1; LOA_T5; LOA_T6; LONGITUDE; LVPS_4-5B; Lynn_lake; MacKenzie_Delta; Manitoba, Canada; Martin_River; McClintock; Method comment; MON; Monitoring; Mosaik; Mosaik_coreCentral; MULT; Multiple investigations; Nastapoca; Natla; No_Name_Creek_coreNNC07-1; No-Name_Creek; NormanWells; NOVO-USP; Novo-Uspenka, Russia; Nuikluk; Nyulsaveito_Lake; OBSE; Observation; Ortino_peat_pl; Ours; OUTCROP; Outcrop sample; PEATC; Peat corer; Pechora area, NE Baltic; Petersville; Petersville_corePE08-MC; PF-8; Polybog; Pur-Taz; Pyasina; QUEEN_Exped; Radisson; Rainbow_Lake; Reference/source; Remote sensing (Corona); Rogovaya; RPS; RU-Land_2007_Yakutia; RUSC; Russia; Russian corer; Russian peat sampler; Rybachiya_bog; Sample thickness; Sasapimakwananistik; Seida; Selwyn_core1; Selwyn_Lake; Seward_Peninsula; Sharyu; Sheldrake; Site; Slave_core1; Slave_Lake; Southern_Piper_Pass; Sterne; Stordalen_1; Stordalen_core1; Subarctic; Sugluk; Suolakh; Swanson_core1; Swanson_fen; Sweden; T28A; T35A-B; TC-01; TFBC; Thelon-Kazan_Peatland; Three_Day_Lake; Tiksi; Town_site; Tuktoyaktuk; Umiakoviarusek; United States of America; Upper_Pinto; Upper_Pinto_core1; Usa River basin, Northeast European Russia; Usinsk_Mire; Vaisjeaggi1/Va-l; Western Siberia; Willow_Lake_River; Wrigley_Ferry; Yakutia2007; Yakutsk, Russia; Zama_lake; Zhukovskoe
    Type: Dataset
    Format: text/tab-separated-values, 15879 data points
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  • 2
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The glacier mass balance of Jamtalferner has been measured annually since 1988/1989 with the direct/glaciological method. Winter mass balance has been determined for 1st May in all years. The mass balance records are complemented by precipitation measurements at a gauge close to the glacier tongue and climate data recorded at the village of Galtür. New data will be added every year.
    Type: Dataset
    Format: application/zip, 69 datasets
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  • 3
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The annual glacier mass balance of Mullwitzkees in Hohe Tauern is measured since 2006-10-01 with the direct glaciological method in the fixed date system (1st October to 30th September of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m**3 (= mm w.e.). The accumulation during the winter is determined by the 1st May. The project is funded by the "Hydrographischer Dienst der Abteilung Wasserwirtschaft des Amtes der Tiroler Landesregierung and National Park Hohe Tauern". New data will be added every year.
    Keywords: Glaciers Austria; Mullwitzkees, Hohe Tauern, Austria; MWK
    Type: Dataset
    Format: application/zip, 34 datasets
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  • 4
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The annual glacier mass balance of Hallstätter Gletscher in Austria is measured since 2006-10-01 with the direct glaciological method in the fixed date system (1st October to 30th September of the following year). The accumulation of snow is measured by determination of the water equivalent in 6 snow pits, the ice ablation is measured with 15 stakes drilled into the ice. Results are the annual net mass balance in kg, the total accumulation and ablation, the glacier area and the portions of the area which are subject to ablation and accumulation, the elevation of the equilibrium line and the specific mass balance in kg/m**2 (= mm w.e.). The accumulation during the winter is determined by the 1st May. The project is funded by the Amt der Oberösterreichischen Landesregierung and the Energie AG. The measurements are carried out by the Institute for Interdisciplinary Mountain Research (http://www.mountainresearch.at/index.php/en/) of the Austrian Academy of Sciences and the company Blue Sky in Gmunden, Austria. New data will be added every year.
    Keywords: Glaciers Austria; Hallstätter Gletscher, Dachstein, Austria; HSG
    Type: Dataset
    Format: application/zip, 39 datasets
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  • 5
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    PANGAEA
    In:  Institut für Interdisziplinäre Gebirgsforschung der Österreichischen Akademie der Wissenschaften, Innsbruck
    Publication Date: 2024-05-14
    Description: The Venedigerkees in the Hohe Tauern National Park is the easternmost tributary glacier to the former tongue of Obersulzbachkees. As a result of the strong retreat of Obersulzbachkees, the glacier disintegrated into several tributary glaciers, with a large lake remaining at the location of a famous serac zone, the 'Türkische Zeltstadt'. Hydrological monitoring of the area is done by the Hydrological Survey of the Federal Government of Salzburg (DI Hans Wiesenegger) who initiated the mass balance monitoring programme together with Heinz Slupetzky and the Institute of Interdisciplinary Mountain Research of the Austrian Academy of Sciences. The mass balance of the Venedigerkees is measured since 2011/12 with the direct or glaciological method. New data will be added every year.
    Keywords: Glaciers Austria
    Type: Dataset
    Format: application/zip, 24 datasets
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  • 6
    Publication Date: 2024-05-14
    Description: We report the levels of airborne PCB concentrations at 18 locations for three consecutive periods, from July to November of 2015, and one extra period from July to August of 2016 in New Bedford, Fairhaven, Dartmouth, and Acushnet, MA, USA. Measurements were obtained using polyurethane foam passive air samplers (PUF-PAS), deployed for ~40 days. Effective volumes for individual PCB congeners were calculated from a previously published model and included here. Further, the limit of detection from the PUF for individual PCB congeners are included, together with the masses of the PCB congeners measured in the PUF.
    Keywords: airborne concentration; congeners; effective volumes; New Bedford; PCB; Superfund
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 7
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    PANGAEA
    In:  Supplement to: Obu, Jaroslav; Lantuit, Hugues; Myers-Smith, Isla H; Heim, Birgit; Wolter, Juliane; Fritz, Michael (2017): Effect of Terrain Characteristics on Soil Organic Carbon and Total Nitrogen Stocks in Soils of Herschel Island, Western Canadian Arctic. Permafrost and Periglacial Processes, 28(1), 92-107, https://doi.org/10.1002/ppp.1881
    Publication Date: 2024-05-14
    Description: Permafrost landscapes experience different disturbances and store large amounts of organic matter, which may become a source of greenhouse gases upon permafrost degradation. We analysed the influence of terrain and geomorphic disturbances (e.g. soil creep, active-layer detachment, gullying, thaw slumping, accumulation of fluvial deposits) on soil organic carbon (SOC) and total nitrogen (TN) storage using 11 permafrost cores from Herschel Island, western Canadian Arctic. Our results indicate a strong correlation between SOC storage and the topographic wetness index. Undisturbed sites stored the majority of SOC and TN in the upper 70 cm of soil. Sites characterised by mass wasting showed significant SOC depletion and soil compaction, whereas sites characterised by the accumulation of peat and fluvial deposits store SOC and TN along the whole core. We upscaled SOC and TN to estimate total stocks using the ecological units determined from vegetation composition, slope angle and the geomorphic disturbance regime. The ecological units were delineated with a supervised classification based on RapidEye multispectral satellite imagery and slope angle. Mean SOC and TN storage for the uppermost 1 m of soil on Herschel Island are 34.8 kg C/m**2 and 3.4 kg N/m**2, respectively.
    Keywords: HER; Herschel_Island; MULT; Multiple investigations
    Type: Dataset
    Format: application/zip, 939.6 kBytes
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  • 8
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    PANGAEA
    In:  Supplement to: Obu, Jaroslav; Lantuit, Hugues; Myers-Smith, Isla H; Heim, Birgit; Wolter, Juliane; Fritz, Michael (2017): Effect of Terrain Characteristics on Soil Organic Carbon and Total Nitrogen Stocks in Soils of Herschel Island, Western Canadian Arctic. Permafrost and Periglacial Processes, 28(1), 92-107, https://doi.org/10.1002/ppp.1881
    Publication Date: 2024-05-14
    Description: Twelve permafrost cores and active layer pits were drilled/dug on Herschel Island in order to estimate the soil organic carbon and total nitrogen contents in the first 30, 100 and 200 cm of ground. The data are shapefile points with attribute table, which contains different core information.
    Keywords: AWI_PerDyn; HER; Herschel_Island; MULT; Multiple investigations; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 11.8 kBytes
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  • 9
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    PANGAEA
    In:  Supplement to: Obu, Jaroslav; Lantuit, Hugues; Myers-Smith, Isla H; Heim, Birgit; Wolter, Juliane; Fritz, Michael (2017): Effect of Terrain Characteristics on Soil Organic Carbon and Total Nitrogen Stocks in Soils of Herschel Island, Western Canadian Arctic. Permafrost and Periglacial Processes, 28(1), 92-107, https://doi.org/10.1002/ppp.1881
    Publication Date: 2024-05-14
    Description: Twelve permafrost cores and active layer pits were drilled/dug on Herschel Island in order to estimate the soil organic carbon and total nitrogen contents in the first 30, 100 and 200 cm of ground. The data are the core information obtained during sampling.
    Keywords: AWI_PerDyn; AWI Arctic Land Expedition; Bare ground; CA-Land_2013_YukonCoast; Carbon, organic, mass per area; Core length; Density, dry bulk; Elevation of event; Event label; Exposition; GC; Gravity corer; Herschel Island, Yukon Territory, Canada; Ice content; J01; Latitude of event; Lithologic unit/sequence; Longitude of event; Nitrogen per area; Permafrost Research (Periglacial Dynamics) @ AWI; PG2150; PG2151; PG2152; PG2154; PG2155; PG2156; PG2157; PG2158; PG2159; PG2162; PG2163; Sample amount; Slope; Thaw depth of active layer; Vegetation height, mean; Yukon_Coast_2013
    Type: Dataset
    Format: text/tab-separated-values, 192 data points
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  • 10
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    In:  Supplement to: Reese, Anna; Zimmermann, Tristan; Pröfrock, Daniel; Irrgeher, Johanna (2019): Extreme spatial variation of Sr, Nd and Pb isotopic signatures and 48 element mass fractions in surface sediment of the Elbe River Estuary - Suitable tracers for processes in dynamic environments? Science of the Total Environment, 668, 512-523, https://doi.org/10.1016/j.scitotenv.2019.02.401
    Publication Date: 2024-05-14
    Description: The Elbe River was long considered as one of the most anthropogenically impacted rivers in Europe. Its estuary is characterized by strong tidal effects, continuous dredging and dumping of sediments and intense ship traffic between the North Sea and the Port of Hamburg. These activities make the estuary a highly dynamic study area of interest to numerous parties. The aim of this study was to elucidate if a combined multi-element fingerprinting and isotopic tracer approach represents a suitable tool to investigate transport and mixing processes of inorganic contaminants within a complex and highly dynamic estuarine environment. Therefore, a total of 37 surface sediment samples (〈63 µm grain size fraction) of the Elbe River Estuary were characterized in a comprehensive survey by determining the mass fractions of 48 elements and the isotopic signatures of stable Sr, Nd and Pb. By the combination of multi-element and isotopic data, statistical data analysis resolved four discrete clusters of sampling locations in the estuary: One cluster upstream of the city of Hamburg, two clusters within the mixing zone between Hamburg and the mouth of the Elbe Estuary and one cluster in the mouth of the estuary. Our results indicate that river sediments entering the estuary carry significantly higher loads of heavy metals (e.g. Cu, Zn, Sb, Cd and Pb), which are rapidly “diluted” by lower elemental mass fractions in marine sediments on a remarkably small regional scale (investigated river transect: 144 km). The cluster within the mouth of the estuary is mainly characterized by extreme isotopic variations of n(208Pb)/n(204Pb) ranging from 38.67 ± 0.15 to 73.86 ± 0.29, beside high mass fractions of U, Th and some rare-earth elements. Determined Pb isotope ratios are among the highest reported values for terrestrial materials. These extreme variations are unique as they occur on a small spatial scale and cannot be explained by the underlying geology of the Elbe Estuary solely. Hence, it can be assumed that this material is not exclusively original to the area but was transported into the Elbe Estuary either by tidal dynamics or human activities. In summary, this study indicates the general potential of combined element fingerprinting and isotope tracer approaches to elucidate processes in complex river systems. Moreover does it represent an initial characterization of the catchment area of the Elbe River as basis for future studies on river and harbor management.
    Keywords: Alte Harb. Elbbruecke; Aluminium; Aluminium, uncertainty; Antimony; Antimony, uncertainty; Arsenic; Arsenic, uncertainty; Barium; Barium, uncertainty; BC; Beryllium; Beryllium, uncertainty; Bielenberg Leuchtf.; Billwerder Inseln; Bismuth; Bismuth, uncertainty; Blankenese; Box corer; Brunsbuettel Elbhafen; Bunthausspitze; Cadmium; Cadmium, uncertainty; Caesium; Caesium, uncertainty; Calcium; Calcium, uncertainty; Cerium; Cerium, uncertainty; Chromium; Chromium, uncertainty; Cobalt; Cobalt, uncertainty; Copper; Copper, uncertainty; Date/Time of event; DEPTH, sediment/rock; DEPTH, water; Dysprosium; Dysprosium, uncertainty; Elbe and North Sea; Elbstorf; Element analysis grain size fraction 〈63 µm via ICP-MS (total digest); Elevation of event; Erbium; Erbium, uncertainty; Europium; Europium, uncertainty; Europium anomaly; Event label; Gadolinium; Gadolinium, uncertainty; Gallium; Gallium, uncertainty; Geesthacht; Glameyer; Glueckstadt; Grain size, LASER Particle Sizer; Grauerort; Helmholtz-Zentrum Geesthacht, Institute of Coastal Research; Hollerwettern; Holmium; Holmium, uncertainty; HZG; Iron; Iron, uncertainty; Koehlbrand; Kugelbake; Lanthanum; Lanthanum, uncertainty; Latitude of event; Lead; Lead, uncertainty; Lead-206/Lead-204 ratio; Lead-206/Lead-204 ratio, uncertainty; Lead-207/Lead-204 ratio; Lead-207/Lead-204 ratio, uncertainty; Lead-207/Lead-206, uncertainty; Lead-207/Lead-206 ratio; Lead-208/Lead-204 ratio; Lead-208/Lead-204 ratio, uncertainty; Lead-208/Lead-206 ratio; Lead-208/Lead-206 ratio, uncertainty; Longitude of event; LP_2015_08_S_1; LP_2015_08_S_10; LP_2015_08_S_11; LP_2015_08_S_12; LP_2015_08_S_13; LP_2015_08_S_14; LP_2015_08_S_15; LP_2015_08_S_16; LP_2015_08_S_17; LP_2015_08_S_18; LP_2015_08_S_19; LP_2015_08_S_2; LP_2015_08_S_20; LP_2015_08_S_21; LP_2015_08_S_22; LP_2015_08_S_23; LP_2015_08_S_24; LP_2015_08_S_25; LP_2015_08_S_26; LP_2015_08_S_27; LP_2015_08_S_28_1; LP_2015_08_S_28_2; LP_2015_08_S_29; LP_2015_08_S_3; LP_2015_08_S_30_1; LP_2015_08_S_30_2; LP_2015_08_S_31_1; LP_2015_08_S_31_2; LP_2015_08_S_32; LP_2015_08_S_33_2; LP_2015_08_S_33_3; LP_2015_08_S_34_1; LP_2015_08_S_34_2; LP_2015_08_S_35_1; LP_2015_08_S_35_2; LP_2015_08_S_36; LP_2015_08_S_4; LP_2015_08_S_5; LP_2015_08_S_6; LP_2015_08_S_7; LP_2015_08_S_71_1; LP_2015_08_S_71_2; LP_2015_08_S_8; LP_2015_08_S_9; LP201508; Lt. Vogelsand; Ludwig Prandtl; Luehemuendung; Lutetium; Lutetium, uncertainty; Magnesium; Magnesium, uncertainty; Manganese; Manganese, uncertainty; Molybdenum; Molybdenum, uncertainty; Multi-collector ICP-MS (MC-ICP-MS), Nu Plasma II; Multi-parameter meter, 3430 WTW; Neodymium; Neodymium, uncertainty; Neodymium-143/Neodymium-144 ratio; Neodymium-143/Neodymium-144 ratio, uncertainty; Neue Elbbruecken; Neufeld; Neuland; Neumuehlen; Nickel; Nickel, uncertainty; Nienstedten; Oste; Otterndorf; Pegel Brockdorf; pH; Phosphorus; Phosphorus, uncertainty; Potassium; Potassium, uncertainty; Praseodymium; Praseodymium, uncertainty; Rubidium; Rubidium, uncertainty; Salinity; Samarium; Samarium, uncertainty; Scandium; Scandium, uncertainty; Scharhoernriff; Schulau; Schwinge; Seemannshoeft; Silver; Silver, uncertainty; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〈 0.125 mm; Size fraction 〈 0.250 mm; St. Magarethen; Stoer; Strontium; Strontium, uncertainty; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, uncertainty; Tellurium; Tellurium, uncertainty; Terbium; Terbium, uncertainty; Thallium; Thallium, uncertainty; Thorium; Thorium, uncertainty; Thulium; Thulium, uncertainty; Titanium; Titanium, uncertainty; Tonne 107; Tonne 112; Tonne 53; Tonne 57; Tonne 91 gruen; Tonne 96 rot; Tungsten; Tungsten, uncertainty; Uranium; Uranium, uncertainty; Vanadium; Vanadium, uncertainty; Ytterbium; Ytterbium, uncertainty; Zinc; Zinc, uncertainty; Zirconium; Zirconium, uncertainty; Zollenspieker
    Type: Dataset
    Format: text/tab-separated-values, 4314 data points
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